diff --git a/docker/cicd/.drone-example.yml b/docker/cicd/.drone-example.yml new file mode 100755 index 0000000..9265a13 --- /dev/null +++ b/docker/cicd/.drone-example.yml @@ -0,0 +1,15 @@ +kind: pipeline +type: docker +name: hello-world + +trigger: + branch: + - master + event: + - push + +steps: + - name: say-hello + image: busybox + commands: + - echo hello-world diff --git a/docker/cicd/README.md b/docker/cicd/README.md new file mode 100755 index 0000000..3b1826f --- /dev/null +++ b/docker/cicd/README.md @@ -0,0 +1,95 @@ +# drone-gitea-on-docker +DroneCI and Gitea on Docker + +## Usage + +Set the following in your `boot.sh`: + +``` +IP_ADDRESS=192.168.0.6 -> either reachable dns or ip address which will be your clone address and ui addresses. +GITEA_ADMIN_USER="giteauser" -> will be the user you register with in drone +``` + +Now boot the stack: + +``` +$ bash boot.sh +``` + +*Note*: Theres a [current issue](https://github.com/go-gitea/gitea/issues/7702) where webhooks get fired twice, if you see that just restart gitea with `docker restart gitea`. + +- Head over to: `http://${IP_ADDRESS}:3000/user/settings/applications` and create a new OAuth2 Application and set the Redirect URI to `http://${IP_ADDRESS}:3001/login` + +- Capture the client id and client secret and populate them in the `boot.sh` in `DRONE_GITEA_CLIENT_ID` and `DRONE_GITEA_CLIENT_SECRET` and run `bash boot.sh` again. This will give drone the correct credentials in order to authenticate with gitea. + +- Now when you head over to `http://${IP_ADDRESS}:3001/` you will be asked to authorize the application and you should be able to access drone. + +## Drone CLI + +Install Drone CLI: +- https://docs.drone.io/cli/install/ + +``` +$ curl -L https://github.com/drone/drone-cli/releases/latest/download/drone_darwin_amd64.tar.gz | tar zx +$ sudo mv drone /usr/local/bin/drone +$ chmod +x /usr/local/bin/drone +``` + +Get your Drone Token: +- http://${IP_ADDRESS}:3001/account + +``` +$ export DRONE_SERVER=http://${IP_ADDRESS}:3001 +$ export DRONE_TOKEN=one-from-the-account-page +drone info +``` + +## Build your first pipeline + +Create a test repo in gitea: + +![image](https://user-images.githubusercontent.com/567298/110296470-0ad23800-7ffb-11eb-8428-af49d0ebd62d.png) + +Commit a `.drone.yml` file for drone: + +``` +$ cat .drone.yml +kind: pipeline +type: docker +name: hello-world + +trigger: + branch: + - master + event: + - push + +steps: + - name: say-hello + image: busybox + commands: + - echo hello-world +``` + +Head over to drone and sync your repositories: + +![image](https://user-images.githubusercontent.com/567298/110296425-00b03980-7ffb-11eb-9216-76725a62c09e.png) + +Activate your repository: + +![image](https://user-images.githubusercontent.com/567298/110296623-3523f580-7ffb-11eb-805f-db5db4dab0cb.png) + +Push a commit to master and see your pipeline running: + +![image](https://user-images.githubusercontent.com/567298/110296747-584ea500-7ffb-11eb-9909-259641a663aa.png) + +## More Examples + +- https://github.com/ruanbekker/drone-ci-testing +- https://github.com/ruanbekker/drone-demo-python-flask +- https://github.com/ruanbekker/drone-with-go +- https://github.com/ruanbekker/demo-drone-mongodb-tests +- https://github.com/ruanbekker/drone-multi-pipeline +- https://github.com/ruanbekker/docker-jekyll-drone +- [Localstack with Drone and Gitea](https://gist.github.com/ruanbekker/84cb9f0c2a21434ca8381a0c74842d84) +- [Drone, Minio, Gitea, Sqlite on Docker Compose](https://gist.github.com/ruanbekker/3847bbf1b961efc568b93ccbf5c6f9f6) diff --git a/docker/cicd/boot.sh b/docker/cicd/boot.sh new file mode 100755 index 0000000..c0f5e4b --- /dev/null +++ b/docker/cicd/boot.sh @@ -0,0 +1,19 @@ +#!/usr/bin/env bash + +export HOSTNAME=$(hostname) +export DRONE_VERSION=1.10.1 +export DRONE_RUNNER_VERSION=1.6.3 +export GITEA_VERSION=1.13 +export IP_ADDRESS=127.0.0.1 +export MINIO_ACCESS_KEY="EXAMPLEKEY" +export MINIO_SECRET_KEY="EXAMPLESECRET" +export GITEA_ADMIN_USER="example" +export DRONE_RPC_SECRET="$(echo ${HOSTNAME} | openssl dgst -md5 -hex)" +export DRONE_USER_CREATE="username:${GITEA_ADMIN_USER},machine:false,admin:true,token:${DRONE_RPC_SECRET}" +export DRONE_GITEA_CLIENT_ID="" +export DRONE_GITEA_CLIENT_SECRET="" +docker-compose up -d + +echo "" +echo "Gitea: http://${IP_ADDRESS}:3000/" +echo "Drone: http://${IP_ADDRESS}:3001/" diff --git a/docker/cicd/docker-compose.yml b/docker/cicd/docker-compose.yml new file mode 100755 index 0000000..122d9bc --- /dev/null +++ b/docker/cicd/docker-compose.yml @@ -0,0 +1,83 @@ +version: '3.6' + +services: + gitea: + container_name: gitea + image: gitea/gitea:${GITEA_VERSION:-1.10.6} + restart: unless-stopped + environment: + # https://docs.gitea.io/en-us/install-with-docker/#environments-variables + - APP_NAME="Gitea" + - USER_UID=1000 + - USER_GID=1000 + - RUN_MODE=prod + - DOMAIN=${IP_ADDRESS} + - SSH_DOMAIN=${IP_ADDRESS} + - HTTP_PORT=3000 + - ROOT_URL=http://${IP_ADDRESS}:3000 + - SSH_PORT=222 + - SSH_LISTEN_PORT=22 + - DB_TYPE=sqlite3 + ports: + - "3000:3000" + - "222:22" + networks: + - cicd_net + volumes: + - ./gitea:/data + + drone: + container_name: drone + image: drone/drone:${DRONE_VERSION:-1.6.4} + restart: unless-stopped + depends_on: + - gitea + environment: + # https://docs.drone.io/server/provider/gitea/ + - DRONE_DATABASE_DRIVER=sqlite3 + - DRONE_DATABASE_DATASOURCE=/data/database.sqlite + - DRONE_GITEA_SERVER=http://${IP_ADDRESS}:3000/ + - DRONE_GIT_ALWAYS_AUTH=false + - DRONE_RPC_SECRET=${DRONE_RPC_SECRET} + - DRONE_SERVER_PROTO=http + - DRONE_SERVER_HOST=${IP_ADDRESS}:3001 + - DRONE_TLS_AUTOCERT=false + - DRONE_USER_CREATE=${DRONE_USER_CREATE} + - DRONE_GITEA_CLIENT_ID=${DRONE_GITEA_CLIENT_ID} + - DRONE_GITEA_CLIENT_SECRET=${DRONE_GITEA_CLIENT_SECRET} + ports: + - "3001:80" + - "9001:9000" + networks: + - cicd_net + volumes: + - /var/run/docker.sock:/var/run/docker.sock + - ./drone:/data + + drone-runner: + container_name: drone-runner + image: drone/drone-runner-docker:${DRONE_RUNNER_VERSION:-1} + restart: unless-stopped + depends_on: + - drone + environment: + # https://docs.drone.io/runner/docker/installation/linux/ + # https://docs.drone.io/server/metrics/ + - DRONE_RPC_PROTO=http + - DRONE_RPC_HOST=drone + - DRONE_RPC_SECRET=${DRONE_RPC_SECRET} + - DRONE_RUNNER_NAME="${HOSTNAME}-runner" + - DRONE_RUNNER_CAPACITY=2 + - DRONE_RUNNER_NETWORKS=cicd_net + - DRONE_DEBUG=false + - DRONE_TRACE=false + ports: + - "3002:3000" + networks: + - cicd_net + volumes: + - /var/run/docker.sock:/var/run/docker.sock + +networks: + cicd_net: + name: cicd_net diff --git a/docker/apollo/README.md b/docker/environment/README.md similarity index 100% rename from docker/apollo/README.md rename to docker/environment/README.md diff --git a/docker/apollo/docker-compose.yml b/docker/environment/docker-compose.yml similarity index 98% rename from docker/apollo/docker-compose.yml rename to docker/environment/docker-compose.yml index 56833e4..d03937b 100644 --- a/docker/apollo/docker-compose.yml +++ b/docker/environment/docker-compose.yml @@ -13,7 +13,7 @@ # See the License for the specific language governing permissions and # limitations under the License. # -version: '2' +version: '3' services: apollo-quick-start: diff --git a/docker/environment/redis/redis.conf b/docker/environment/redis/redis.conf new file mode 100755 index 0000000..27c025a --- /dev/null +++ b/docker/environment/redis/redis.conf @@ -0,0 +1,426 @@ +# Redis配置文件样例 + +# Note on units: when memory size is needed, it is possible to specifiy +# it in the usual form of 1k 5GB 4M and so forth: +# +# 1k => 1000 bytes +# 1kb => 1024 bytes +# 1m => 1000000 bytes +# 1mb => 1024*1024 bytes +# 1g => 1000000000 bytes +# 1gb => 1024*1024*1024 bytes +# +# units are case insensitive so 1GB 1Gb 1gB are all the same. + +# Redis默认不是以守护进程的方式运行，可以通过该配置项修改，使用yes启用守护进程 +# 启用守护进程后，Redis会把pid写到一个pidfile中，在/var/run/redis.pid +daemonize no + +# 当Redis以守护进程方式运行时，Redis默认会把pid写入/var/run/redis.pid文件，可以通过pidfile指定 +pidfile /var/run/redis.pid + +# 指定Redis监听端口，默认端口为6379 +# 如果指定0端口，表示Redis不监听TCP连接 +port 6379 + +# 绑定的主机地址 +# 你可以绑定单一接口，如果没有绑定，所有接口都会监听到来的连接 +# bind 127.0.0.1 + +# Specify the path for the unix socket that will be used to listen for +# incoming connections. There is no default, so Redis will not listen +# on a unix socket when not specified. +# +# unixsocket /tmp/redis.sock +# unixsocketperm 755 + +# 当客户端闲置多长时间后关闭连接，如果指定为0，表示关闭该功能 +timeout 0 + +# 指定日志记录级别，Redis总共支持四个级别：debug、verbose、notice、warning，默认为verbose +# debug (很多信息, 对开发／测试比较有用) +# verbose (many rarely useful info, but not a mess like the debug level) +# notice (moderately verbose, what you want in production probably) +# warning (only very important / critical messages are logged) +loglevel verbose + +# 日志记录方式，默认为标准输出，如果配置为redis为守护进程方式运行，而这里又配置为标准输出，则日志将会发送给/dev/null +logfile stdout + +# To enable logging to the system logger, just set 'syslog-enabled' to yes, +# and optionally update the other syslog parameters to suit your needs. +# syslog-enabled no + +# Specify the syslog identity. +# syslog-ident redis + +# Specify the syslog facility. Must be USER or between LOCAL0-LOCAL7. +# syslog-facility local0 + +# 设置数据库的数量，默认数据库为0，可以使用select 命令在连接上指定数据库id +# dbid是从0到‘databases’-1的数目 +databases 16 + +################################ SNAPSHOTTING ################################# +# 指定在多长时间内，有多少次更新操作，就将数据同步到数据文件，可以多个条件配合 +# Save the DB on disk: +# +# save +# +# Will save the DB if both the given number of seconds and the given +# number of write operations against the DB occurred. +# +# 满足以下条件将会同步数据: +# 900秒（15分钟）内有1个更改 +# 300秒（5分钟）内有10个更改 +# 60秒内有10000个更改 +# Note: 可以把所有“save”行注释掉，这样就取消同步操作了 + +save 900 1 +save 300 10 +save 60 10000 + +# 指定存储至本地数据库时是否压缩数据，默认为yes，Redis采用LZF压缩，如果为了节省CPU时间，可以关闭该选项，但会导致数据库文件变的巨大 +rdbcompression yes + +# 指定本地数据库文件名，默认值为dump.rdb +dbfilename dump.rdb + +# 工作目录. +# 指定本地数据库存放目录，文件名由上一个dbfilename配置项指定 +# +# Also the Append Only File will be created inside this directory. +# +# 注意，这里只能指定一个目录，不能指定文件名 +dir ./ + +################################# REPLICATION ################################# + +# 主从复制。使用slaveof从 Redis服务器复制一个Redis实例。注意，该配置仅限于当前slave有效 +# so for example it is possible to configure the slave to save the DB with a +# different interval, or to listen to another port, and so on. +# 设置当本机为slav服务时，设置master服务的ip地址及端口，在Redis启动时，它会自动从master进行数据同步 +# slaveof + + +# 当master服务设置了密码保护时，slav服务连接master的密码 +# 下文的“requirepass”配置项可以指定密码 +# masterauth + +# When a slave lost the connection with the master, or when the replication +# is still in progress, the slave can act in two different ways: +# +# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will +# still reply to client requests, possibly with out of data data, or the +# data set may just be empty if this is the first synchronization. +# +# 2) if slave-serve-stale data is set to 'no' the slave will reply with +# an error "SYNC with master in progress" to all the kind of commands +# but to INFO and SLAVEOF. +# +slave-serve-stale-data yes + +# Slaves send PINGs to server in a predefined interval. It's possible to change +# this interval with the repl_ping_slave_period option. The default value is 10 +# seconds. +# +# repl-ping-slave-period 10 + +# The following option sets a timeout for both Bulk transfer I/O timeout and +# master data or ping response timeout. The default value is 60 seconds. +# +# It is important to make sure that this value is greater than the value +# specified for repl-ping-slave-period otherwise a timeout will be detected +# every time there is low traffic between the master and the slave. +# +# repl-timeout 60 + +################################## SECURITY ################################### + +# Warning: since Redis is pretty fast an outside user can try up to +# 150k passwords per second against a good box. This means that you should +# use a very strong password otherwise it will be very easy to break. +# 设置Redis连接密码，如果配置了连接密码，客户端在连接Redis时需要通过auth 命令提供密码，默认关闭 +# requirepass foobared + +# Command renaming. +# +# It is possilbe to change the name of dangerous commands in a shared +# environment. For instance the CONFIG command may be renamed into something +# of hard to guess so that it will be still available for internal-use +# tools but not available for general clients. +# +# Example: +# +# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52 +# +# It is also possilbe to completely kill a command renaming it into +# an empty string: +# +# rename-command CONFIG "" + +################################### LIMITS #################################### + +# 设置同一时间最大客户端连接数，默认无限制，Redis可以同时打开的客户端连接数为Redis进程可以打开的最大文件描述符数， +# 如果设置maxclients 0，表示不作限制。当客户端连接数到达限制时，Redis会关闭新的连接并向客户端返回max Number of clients reached错误信息 +# maxclients 128 + +# Don't use more memory than the specified amount of bytes. +# When the memory limit is reached Redis will try to remove keys with an +# EXPIRE set. It will try to start freeing keys that are going to expire +# in little time and preserve keys with a longer time to live. +# Redis will also try to remove objects from free lists if possible. +# +# If all this fails, Redis will start to reply with errors to commands +# that will use more memory, like SET, LPUSH, and so on, and will continue +# to reply to most read-only commands like GET. +# +# WARNING: maxmemory can be a good idea mainly if you want to use Redis as a +# 'state' server or cache, not as a real DB. When Redis is used as a real +# database the memory usage will grow over the weeks, it will be obvious if +# it is going to use too much memory in the long run, and you'll have the time +# to upgrade. With maxmemory after the limit is reached you'll start to get +# errors for write operations, and this may even lead to DB inconsistency. +# 指定Redis最大内存限制，Redis在启动时会把数据加载到内存中，达到最大内存后，Redis会先尝试清除已到期或即将到期的Key， +# 当此方法处理后，仍然到达最大内存设置，将无法再进行写入操作，但仍然可以进行读取操作。 +# Redis新的vm机制，会把Key存放内存，Value会存放在swap区 +# maxmemory + +# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory +# is reached? You can select among five behavior: +# +# volatile-lru -> remove the key with an expire set using an LRU algorithm +# allkeys-lru -> remove any key accordingly to the LRU algorithm +# volatile-random -> remove a random key with an expire set +# allkeys->random -> remove a random key, any key +# volatile-ttl -> remove the key with the nearest expire time (minor TTL) +# noeviction -> don't expire at all, just return an error on write operations +# +# Note: with all the kind of policies, Redis will return an error on write +# operations, when there are not suitable keys for eviction. +# +# At the date of writing this commands are: set setnx setex append +# incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd +# sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby +# zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby +# getset mset msetnx exec sort +# +# The default is: +# +# maxmemory-policy volatile-lru + +# LRU and minimal TTL algorithms are not precise algorithms but approximated +# algorithms (in order to save memory), so you can select as well the sample +# size to check. For instance for default Redis will check three keys and +# pick the one that was used less recently, you can change the sample size +# using the following configuration directive. +# +# maxmemory-samples 3 + +############################## APPEND ONLY MODE ############################### + +# +# Note that you can have both the async dumps and the append only file if you +# like (you have to comment the "save" statements above to disable the dumps). +# Still if append only mode is enabled Redis will load the data from the +# log file at startup ignoring the dump.rdb file. +# 指定是否在每次更新操作后进行日志记录，Redis在默认情况下是异步的把数据写入磁盘，如果不开启，可能会在断电时导致一段时间内的数据丢失。 +# 因为redis本身同步数据文件是按上面save条件来同步的，所以有的数据会在一段时间内只存在于内存中。默认为no +# IMPORTANT: Check the BGREWRITEAOF to check how to rewrite the append +# log file in background when it gets too big. + +appendonly no + +# 指定更新日志文件名，默认为appendonly.aof +# appendfilename appendonly.aof + +# The fsync() call tells the Operating System to actually write data on disk +# instead to wait for more data in the output buffer. Some OS will really flush +# data on disk, some other OS will just try to do it ASAP. + +# 指定更新日志条件，共有3个可选值： +# no:表示等操作系统进行数据缓存同步到磁盘（快） +# always:表示每次更新操作后手动调用fsync()将数据写到磁盘（慢，安全） +# everysec:表示每秒同步一次（折衷，默认值） + +appendfsync everysec +# appendfsync no + +# When the AOF fsync policy is set to always or everysec, and a background +# saving process (a background save or AOF log background rewriting) is +# performing a lot of I/O against the disk, in some Linux configurations +# Redis may block too long on the fsync() call. Note that there is no fix for +# this currently, as even performing fsync in a different thread will block +# our synchronous write(2) call. +# +# In order to mitigate this problem it's possible to use the following option +# that will prevent fsync() from being called in the main process while a +# BGSAVE or BGREWRITEAOF is in progress. +# +# This means that while another child is saving the durability of Redis is +# the same as "appendfsync none", that in pratical terms means that it is +# possible to lost up to 30 seconds of log in the worst scenario (with the +# default Linux settings). +# +# If you have latency problems turn this to "yes". Otherwise leave it as +# "no" that is the safest pick from the point of view of durability. +no-appendfsync-on-rewrite no + +# Automatic rewrite of the append only file. +# Redis is able to automatically rewrite the log file implicitly calling +# BGREWRITEAOF when the AOF log size will growth by the specified percentage. +# +# This is how it works: Redis remembers the size of the AOF file after the +# latest rewrite (or if no rewrite happened since the restart, the size of +# the AOF at startup is used). +# +# This base size is compared to the current size. If the current size is +# bigger than the specified percentage, the rewrite is triggered. Also +# you need to specify a minimal size for the AOF file to be rewritten, this +# is useful to avoid rewriting the AOF file even if the percentage increase +# is reached but it is still pretty small. +# +# Specify a precentage of zero in order to disable the automatic AOF +# rewrite feature. + +auto-aof-rewrite-percentage 100 +auto-aof-rewrite-min-size 64mb + +################################## SLOW LOG ################################### + +# The Redis Slow Log is a system to log queries that exceeded a specified +# execution time. The execution time does not include the I/O operations +# like talking with the client, sending the reply and so forth, +# but just the time needed to actually execute the command (this is the only +# stage of command execution where the thread is blocked and can not serve +# other requests in the meantime). +# +# You can configure the slow log with two parameters: one tells Redis +# what is the execution time, in microseconds, to exceed in order for the +# command to get logged, and the other parameter is the length of the +# slow log. When a new command is logged the oldest one is removed from the +# queue of logged commands. + +# The following time is expressed in microseconds, so 1000000 is equivalent +# to one second. Note that a negative number disables the slow log, while +# a value of zero forces the logging of every command. +slowlog-log-slower-than 10000 + +# There is no limit to this length. Just be aware that it will consume memory. +# You can reclaim memory used by the slow log with SLOWLOG RESET. +slowlog-max-len 1024 + +################################ VIRTUAL MEMORY ############################### + +### WARNING! Virtual Memory is deprecated in Redis 2.4 +### The use of Virtual Memory is strongly discouraged. + +### WARNING! Virtual Memory is deprecated in Redis 2.4 +### The use of Virtual Memory is strongly discouraged. + +# Virtual Memory allows Redis to work with datasets bigger than the actual +# amount of RAM needed to hold the whole dataset in memory. +# In order to do so very used keys are taken in memory while the other keys +# are swapped into a swap file, similarly to what operating systems do +# with memory pages. +# 指定是否启用虚拟内存机制，默认值为no， +# VM机制将数据分页存放，由Redis将访问量较少的页即冷数据swap到磁盘上，访问多的页面由磁盘自动换出到内存中 +# 把vm-enabled设置为yes，根据需要设置好接下来的三个VM参数，就可以启动VM了 +vm-enabled no +# vm-enabled yes + +# This is the path of the Redis swap file. As you can guess, swap files +# can't be shared by different Redis instances, so make sure to use a swap +# file for every redis process you are running. Redis will complain if the +# swap file is already in use. +# +# Redis交换文件最好的存储是SSD（固态硬盘） +# 虚拟内存文件路径，默认值为/tmp/redis.swap，不可多个Redis实例共享 +# *** WARNING *** if you are using a shared hosting the default of putting +# the swap file under /tmp is not secure. Create a dir with access granted +# only to Redis user and configure Redis to create the swap file there. +vm-swap-file /tmp/redis.swap + +# With vm-max-memory 0 the system will swap everything it can. Not a good +# default, just specify the max amount of RAM you can in bytes, but it's +# better to leave some margin. For instance specify an amount of RAM +# that's more or less between 60 and 80% of your free RAM. +# 将所有大于vm-max-memory的数据存入虚拟内存，无论vm-max-memory设置多少，所有索引数据都是内存存储的（Redis的索引数据就是keys） +# 也就是说当vm-max-memory设置为0的时候，其实是所有value都存在于磁盘。默认值为0 +vm-max-memory 0 + +# Redis swap文件分成了很多的page，一个对象可以保存在多个page上面，但一个page上不能被多个对象共享，vm-page-size是要根据存储的数据大小来设定的。 +# 建议如果存储很多小对象，page大小最后设置为32或64bytes；如果存储很大的对象，则可以使用更大的page，如果不确定，就使用默认值 +vm-page-size 32 + +# 设置swap文件中的page数量由于页表（一种表示页面空闲或使用的bitmap）是存放在内存中的，在磁盘上每8个pages将消耗1byte的内存 +# swap空间总容量为 vm-page-size * vm-pages +# +# With the default of 32-bytes memory pages and 134217728 pages Redis will +# use a 4 GB swap file, that will use 16 MB of RAM for the page table. +# +# It's better to use the smallest acceptable value for your application, +# but the default is large in order to work in most conditions. +vm-pages 134217728 + +# Max number of VM I/O threads running at the same time. +# This threads are used to read/write data from/to swap file, since they +# also encode and decode objects from disk to memory or the reverse, a bigger +# number of threads can help with big objects even if they can't help with +# I/O itself as the physical device may not be able to couple with many +# reads/writes operations at the same time. +# 设置访问swap文件的I/O线程数，最后不要超过机器的核数，如果设置为0，那么所有对swap文件的操作都是串行的，可能会造成比较长时间的延迟，默认值为4 +vm-max-threads 4 + +############################### ADVANCED CONFIG ############################### + +# Hashes are encoded in a special way (much more memory efficient) when they +# have at max a given numer of elements, and the biggest element does not +# exceed a given threshold. You can configure this limits with the following +# configuration directives. +# 指定在超过一定的数量或者最大的元素超过某一临界值时，采用一种特殊的哈希算法 +hash-max-zipmap-entries 512 +hash-max-zipmap-value 64 + +# Similarly to hashes, small lists are also encoded in a special way in order +# to save a lot of space. The special representation is only used when +# you are under the following limits: +list-max-ziplist-entries 512 +list-max-ziplist-value 64 + +# Sets have a special encoding in just one case: when a set is composed +# of just strings that happens to be integers in radix 10 in the range +# of 64 bit signed integers. +# The following configuration setting sets the limit in the size of the +# set in order to use this special memory saving encoding. +set-max-intset-entries 512 + +# Similarly to hashes and lists, sorted sets are also specially encoded in +# order to save a lot of space. This encoding is only used when the length and +# elements of a sorted set are below the following limits: +zset-max-ziplist-entries 128 +zset-max-ziplist-value 64 + +# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in +# order to help rehashing the main Redis hash table (the one mapping top-level +# keys to values). The hash table implementation redis uses (see dict.c) +# performs a lazy rehashing: the more operation you run into an hash table +# that is rhashing, the more rehashing "steps" are performed, so if the +# server is idle the rehashing is never complete and some more memory is used +# by the hash table. +# +# The default is to use this millisecond 10 times every second in order to +# active rehashing the main dictionaries, freeing memory when possible. +# +# If unsure: +# use "activerehashing no" if you have hard latency requirements and it is +# not a good thing in your environment that Redis can reply form time to time +# to queries with 2 milliseconds delay. +# 指定是否激活重置哈希，默认为开启 +activerehashing yes + +################################## INCLUDES ################################### + +# 指定包含其他的配置文件，可以在同一主机上多个Redis实例之间使用同一份配置文件，而同时各实例又拥有自己的特定配置文件 +# include /path/to/local.conf +# include /path/to/other.conf \ No newline at end of file diff --git a/docker/apollo/sql/apolloconfigdb.sql b/docker/environment/sql/apolloconfigdb.sql similarity index 100% rename from docker/apollo/sql/apolloconfigdb.sql rename to docker/environment/sql/apolloconfigdb.sql diff --git a/docker/apollo/sql/apolloportaldb.sql b/docker/environment/sql/apolloportaldb.sql similarity index 100% rename from docker/apollo/sql/apolloportaldb.sql rename to docker/environment/sql/apolloportaldb.sql diff --git a/docker/jaeger/README.md b/docker/jaeger/README.md deleted file mode 100644 index ccfa380..0000000 --- a/docker/jaeger/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# jaegertracing - -测试使用 如果生产使用，请使用官方 [jaeger-docker-compose.yml](https://github.com/jaegertracing/jaeger/blob/master/docker-compose/jaeger-docker-compose.yml) \ No newline at end of file diff --git a/docker/jaeger/docker-compose.yml b/docker/jaeger/docker-compose.yml deleted file mode 100644 index 89737b0..0000000 --- a/docker/jaeger/docker-compose.yml +++ /dev/null @@ -1,15 +0,0 @@ -version: '3' - -services: - jaegertracing: - image: jaegertracing/all-in-one:latest - ports: - - "5775:5775/udp" - - "6831:6831/udp" - - "6832:6832/udp" - - 5778:5778 - - 16686:16686 - - 14268:14268 - - 9411:9411 - environment: - COLLECTOR_ZIPKIN_HTTP_PORT: 9411 diff --git a/docker/monitoring/.gitignore b/docker/monitoring/.gitignore new file mode 100755 index 0000000..8fce603 --- /dev/null +++ b/docker/monitoring/.gitignore @@ -0,0 +1 @@ +data/ diff --git a/docker/monitoring/README.md b/docker/monitoring/README.md new file mode 100755 index 0000000..5c23f41 --- /dev/null +++ b/docker/monitoring/README.md @@ -0,0 +1,44 @@ +# A simple Loki setup with Grafana + +This setup uses Loki for logs, Prometheus for metrics, and Jaeger for tracing. It will automatically collect logs from other Docker containers running on the same server if the installation steps below are followed. + +The Livingdocs server can be configured to send metrics data to the stack, and there is also a way to send log data when running the service without the use of Docker (for local development purposes). More details can be found in the [Livingdocs documentation](https://docs.livingdocs.io/). + +The stack includes the following: + +* **cAdvisor** [[Docs](https://github.com/google/cadvisor)] [[Local UI](http://localhost:9081/)] - Provides resource usage and performance metrics of Docker containers to Prometheus +* **Grafana** [[Docs](https://grafana.com/docs/grafana/latest/)] [[Local UI](http://localhost:3000/)] - UI to explore logs and metrics using queries, charts, and alerts +* **Jaeger** [[Docs](https://www.jaegertracing.io/docs/)] [[Local UI](http://localhost:16686/)] - Provides tracing data which is linked to each incoming Livingdocs server request +* **Loki** [[Docs](https://grafana.com/docs/loki/latest/)] - Ingests logs which can be viewed and queried from within Grafana +* **OpenTelemetry Collector** [[Docs](https://opentelemetry.io/docs/collector/)] - Collects metrics data from Livingdocs server and exports the data to Prometheus +* **Prometheus** [[Docs](https://prometheus.io/docs/)] [[Local UI](http://localhost:3001/)] - A monitoring toolkit for timeseries based metrics +* **Vector** [[Docs](https://vector.dev/docs/)] - Transforms Docker logs and send them to Loki, as well as collecting logs from local Node.js processes if required + +## Installation + +- Clone the repository and launch cAdvisor, Grafana, Jaeger, Loki, OpenTelemetry Collector, Prometheus, and Vector: + ```sh + git clone git@github.com:livingdocsIO/monitoring.git + cd monitoring + docker-compose up -d + ``` +- Navigate to and log in using the default Grafana user (admin/admin). + +## Troubleshooting + +### Directory permissions + +If you see any errors about being unable to create files or directories when starting the containers then the issue is probably related to user permissions. We have chosen to run the containers which write to disk with uid 1000 and gid 1000. We see this as being a sensible default for most users, but if it causes problems you can either change the `user: "1000:1000"` lines in docker-compose.yaml to values which suit your environment, or remove the lines and set the default container permissions on the directories: +```sh +chown -R 472:472 ./data/grafana +chown -R 0:0 ./data/jaeger +chown -R 10001:10001 ./data/loki +chown -R 65534:65534 ./data/prometheus +``` + +### Jaeger EMSGSIZE error + +Jaeger needs higher UDP package sizes than the maximum configured on Mac. The default value should be increased using: +```sh +sudo sysctl net.inet.udp.maxdgram=65536 +``` diff --git a/docker/monitoring/dashboards/.gitkeep b/docker/monitoring/dashboards/.gitkeep new file mode 100755 index 0000000..e69de29 diff --git a/docker/monitoring/datasource.yaml b/docker/monitoring/datasource.yaml new file mode 100755 index 0000000..238b989 --- /dev/null +++ b/docker/monitoring/datasource.yaml @@ -0,0 +1,25 @@ +apiVersion: 1 + +datasources: + - name: Loki + type: loki + access: proxy + url: http://loki:3100 + jsonData: + maxLines: 5000 + derivedFields: + - datasourceUid: jaeger + matcherRegex: \"traceId\":\"([^"]+)\" + name: traceId + url: $${__value.raw} + + - name: Prometheus + type: prometheus + access: proxy + url: http://prometheus:9090 + + - name: Jaeger + type: jaeger + access: proxy + url: http://jaeger:16686 + uid: jaeger diff --git a/docker/monitoring/docker-compose.yaml b/docker/monitoring/docker-compose.yaml new file mode 100755 index 0000000..29e1a92 --- /dev/null +++ b/docker/monitoring/docker-compose.yaml @@ -0,0 +1,89 @@ +version: "3" + +networks: + monitoring: + +services: + cadvisor: + image: gcr.io/cadvisor/cadvisor:v0.37.0 + restart: unless-stopped + command: --docker_only=true --store_container_labels=false + ports: ["9081:8080"] + volumes: + - /:/rootfs:ro + - /var/run:/var/run:rw + - /sys:/sys:ro + - /var/lib/docker/:/var/lib/docker:ro + - /dev/disk/:/dev/disk:ro + networks: [monitoring] + privileged: true + + grafana: + image: grafana/grafana:7.3.6 + restart: unless-stopped + ports: ["3000:3000"] + volumes: + - ./datasource.yaml:/etc/grafana/provisioning/datasources/monitoring.yaml + - ./dashboards:/etc/grafana/provisioning/dashboards + - ./data/grafana:/var/lib/grafana + networks: [monitoring] + user: "1000:1000" + + jaeger: + image: jaegertracing/all-in-one:1.21.0 + restart: unless-stopped + ports: ["6831:6831/udp", "6832:6832/udp", "14250:14250", "14269:14269", "16686:16686"] + volumes: + - ./data/jaeger:/badger + networks: [monitoring] + mem_limit: 512m + environment: + - SPAN_STORAGE_TYPE=badger + - BADGER_EPHEMERAL=false + - BADGER_DIRECTORY_KEY=/badger/key + - BADGER_DIRECTORY_VALUE=/badger/data + - BADGER_SPAN_STORE_TTL=168h0m0s + user: "1000:1000" + + loki: + image: grafana/loki:2.1.0 + restart: unless-stopped + ports: ["3100:3100"] + volumes: + - ./loki.yaml:/etc/loki/local-config.yaml + - /var/log:/var/log:ro + - ./data/loki:/loki + networks: [monitoring] + user: "1000:1000" + + opentelemetry-collector: + image: otel/opentelemetry-collector:0.18.0 + restart: unless-stopped + command: --config=/conf/otel-collector.config.yaml + ports: ["9464:9464", "55680:55680", "55681:55681"] + volumes: + - ./otel-collector.yaml:/conf/otel-collector.config.yaml + networks: [monitoring] + + prometheus: + image: prom/prometheus:v2.24.1 + restart: unless-stopped + command: --config.file=/etc/prometheus/prometheus.yaml --web.route-prefix=/ --storage.tsdb.path=/prometheus --storage.tsdb.retention.time=30d --web.enable-lifecycle --web.enable-admin-api + ports: ["3001:9090"] + volumes: + - ./prometheus.yaml:/etc/prometheus/prometheus.yaml + - ./data/prometheus:/prometheus + networks: [monitoring] + user: "1000:1000" + mem_limit: 512m + + vector: + image: timberio/vector:0.11.1-alpine + restart: unless-stopped + ports: ["8383:8383", "8686:8686", "9160:9160", "4545:4545/udp"] + volumes: + - ./vector.toml:/etc/vector/vector.toml + - /var/run/docker.sock:/var/run/docker.sock:ro + networks: [monitoring] + depends_on: [loki, prometheus] + mem_limit: 100m diff --git a/docker/monitoring/loki.yaml b/docker/monitoring/loki.yaml new file mode 100755 index 0000000..a8496af --- /dev/null +++ b/docker/monitoring/loki.yaml @@ -0,0 +1,65 @@ +auth_enabled: false + +server: + http_listen_address: 0.0.0.0 + http_listen_port: 3100 + +ingester: + lifecycler: + address: 0.0.0.0 + ring: + kvstore: + store: inmemory + replication_factor: 1 + final_sleep: 0s + chunk_idle_period: 1h # Any chunk not receiving new logs in this time will be flushed + max_chunk_age: 1h # All chunks will be flushed when they hit this age, default is 1h + chunk_target_size: 1048576 # Loki will attempt to build chunks up to 1.5MB, flushing first if chunk_idle_period or max_chunk_age is reached first + chunk_retain_period: 30s # Must be greater than index read cache TTL if using an index cache (Default index read cache TTL is 5m) + max_transfer_retries: 0 # Chunk transfers disabled + +schema_config: + configs: + - from: 2020-10-24 + store: boltdb-shipper + object_store: filesystem + schema: v11 + index: + prefix: index_ + period: 24h + +storage_config: + boltdb_shipper: + active_index_directory: /loki/boltdb-shipper-active + cache_location: /loki/boltdb-shipper-cache + cache_ttl: 24h # Can be increased for faster performance over longer query periods, uses more disk space + shared_store: filesystem + filesystem: + directory: /loki/chunks + +compactor: + working_directory: /loki/boltdb-shipper-compactor + shared_store: filesystem + +limits_config: + reject_old_samples: true + reject_old_samples_max_age: 168h + +chunk_store_config: + max_look_back_period: 0s + +table_manager: + retention_deletes_enabled: true + retention_period: 336h + +ruler: + storage: + type: local + local: + directory: /loki/rules + rule_path: /loki/rules-temp + alertmanager_url: http://localhost:9093 + ring: + kvstore: + store: inmemory + enable_api: true diff --git a/docker/monitoring/otel-collector.yaml b/docker/monitoring/otel-collector.yaml new file mode 100755 index 0000000..db5b1db --- /dev/null +++ b/docker/monitoring/otel-collector.yaml @@ -0,0 +1,19 @@ +receivers: + otlp: + protocols: + http: + +exporters: + prometheus: + endpoint: "0.0.0.0:9464" + +processors: + batch: + queued_retry: + +service: + pipelines: + metrics: + receivers: [otlp] + exporters: [prometheus] + processors: [batch, queued_retry] diff --git a/docker/monitoring/prometheus.yaml b/docker/monitoring/prometheus.yaml new file mode 100755 index 0000000..ab2d092 --- /dev/null +++ b/docker/monitoring/prometheus.yaml @@ -0,0 +1,36 @@ +global: + scrape_interval: 5s + evaluation_interval: 5s + +scrape_configs: + - job_name: cadvisor + static_configs: + - targets: ['cadvisor:8080'] + + - job_name: grafana + static_configs: + - targets: ['grafana:3000'] + + - job_name: jaeger + static_configs: + - targets: ['jaeger:14269'] + + - job_name: livingdocs-server + static_configs: + - targets: ['host.docker.internal:9090'] + + - job_name: loki + static_configs: + - targets: ['loki:3100'] + + - job_name: opentelemetry-collector + static_configs: + - targets: ['opentelemetry-collector:9464'] + + - job_name: prometheus + static_configs: + - targets: ['prometheus:9090'] + + - job_name: vector + static_configs: + - targets: ['vector:9160'] diff --git a/docker/monitoring/vector.toml b/docker/monitoring/vector.toml new file mode 100755 index 0000000..c9e3d88 --- /dev/null +++ b/docker/monitoring/vector.toml @@ -0,0 +1,131 @@ +data_dir = "/etc/vector" + +[api] + enabled = true + address = "127.0.0.1:8686" + +[sources.internal_metrics] + type = "internal_metrics" + +[sources.livingdocs_server_socket] + type = "socket" + address = "0.0.0.0:4545" + max_length = 102400 + mode = "udp" + +[sources.docker] + type = "docker_logs" + +[transforms.livingdocs_server] + type = "add_fields" + inputs = ["livingdocs_server_socket"] + fields.service = "@livingdocs/server" + +[transforms.docker_add_service] + type = "lua" + inputs = ["docker"] + + version = "2" + hooks.process = "process" + + source = """ + function process(event, emit) + event.log.service = event.log.SERVICE or event.log.IO_RANCHER_STACK_SERVICE_NAME + if event.log.service then + return emit(event) + end + + if event.log.COM_DOCKER_COMPOSE_PROJECT then + event.log.service = event.log.COM_DOCKER_COMPOSE_PROJECT .. "/" .. event.log.COM_DOCKER_COMPOSE_SERVICE + return emit(event) + end + + emit(event) + end + """ + +[transforms.json_detect_message] + type = "swimlanes" + inputs = ["docker_add_service", "livingdocs_server"] + + [transforms.json_detect_message.lanes.no_json] + type = "check_fields" + "message.not_starts_with" = "{" + + [transforms.json_detect_message.lanes.is_json] + type = "check_fields" + "message.starts_with" = "{" + +[transforms.json_parse_message] + type = "json_parser" + inputs = ["json_detect_message.is_json"] + drop_invalid = false + drop_field = false + field = "message" + target_field = "message_json" + +[transforms.json_extract_message_level] + type = "lua" + inputs = ["json_parse_message"] + version = "2" + hooks.process = "process" + + source = """ + levels = {} + raw_levels = {trace=10, debug=20, info=30, warn=40, error=50, fatal=60} + for key, val in pairs(raw_levels) do + levels[key] = key + levels[string.upper(key)] = key + levels[string.gsub(" "..key, "%W%l", string.upper):sub(2)] = key + levels[tostring(val)] = key + levels[val] = key + end + + function process(event, emit) + if event.log.message_json and event.log.message_json.level then + event.log.level = levels[event.log.message_json.level] + end + emit(event) + end + """ + +[sinks.loki] + type = "loki" + inputs = ["json_detect_message.no_json", "json_extract_message_level"] + healthcheck = true + encoding = "text" + endpoint = "http://loki:3100" + + [sinks.loki.labels] + source_type = "{{ source_type }}" + service = "{{ service }}" + container_id = "{{ container_id }}" + container_name = "{{ container_name }}" + container_image = "{{ image }}" + level = "{{ level }}" + stream = "{{ stream }}" + file = "{{ file }}" + +[sinks.prometheus] + type = "prometheus_exporter" + inputs = ["internal_metrics"] + address = "0.0.0.0:9160" + +[[tests]] + name = "check_json_log" + + [[tests.inputs]] + insert_at = "livingdocs_server" + type = "raw" + value = "{\"level\":30,\"time\":1610722316561,\"req\":{\"id\":\"W4zYBoTFNDSo-206\",\"method\":\"GET\",\"url\":\"/documents?document_type=article&limit=35&sort=-updated_at\",\"userAgent\":\"Mozilla/5.0 (X11; Linux x86_64; rv:84.0) Gecko/20100101 Firefox/84.0\",\"remoteAddress\":\"127.0.0.1\",\"remotePort\":36620,\"ip\":\"127.0.0.1\"},\"traceId\":\"867e90eb8e9d7e98440cb29961399957\",\"res\":{\"statusCode\":304,\"userId\":\"1\",\"projectId\":\"3\",\"tokenId\":\"m4elDRnJwEMQFeBu\"},\"responseTime\":17,\"msg\":\"request completed\"}" + + [[tests.outputs]] + extract_from = "json_extract_message_level" + + [[tests.outputs.conditions]] + type = "check_fields" + "message.exists" = true + "message_json.exists" = true + "message_json.time.equals" = 1610722316561 + "level.equals" = "info" + "service.equals" = "@livingdocs/server" diff --git a/docker/prometheus-grafana/README.md b/docker/prometheus-grafana/README.md deleted file mode 100644 index c64e431..0000000 --- a/docker/prometheus-grafana/README.md +++ /dev/null @@ -1,66 +0,0 @@ -## Compose sample -### Prometheus & Grafana - -Project structure: -``` -. -├── docker-compose.yml -├── grafana -│   └── datasource.yml -├── prometheus -│   └── prometheus.yml -└── README.md -``` - -[_docker-compose.yml_](docker-compose.yml) -``` -version: "3.7" -services: - prometheus: - image: prom/prometheus - ... - ports: - - 9090:9090 - grafana: - image: grafana/grafana - ... - ports: - - 3000:3000 -``` -The compose file defines a stack with two services `prometheus` and `grafana`. -When deploying the stack, docker-compose maps port the default ports for each service to the equivalent ports on the host in order to inspect easier the web interface of each service. -Make sure the ports 9090 and 3000 on the host are not already in use. - -## Deploy with docker-compose - -``` -$ docker-compose up -d -Creating network "prometheus-grafana_default" with the default driver -Creating volume "prometheus-grafana_prom_data" with default driver -... -Creating grafana ... done -Creating prometheus ... done -Attaching to prometheus, grafana - -``` - -## Expected result - -Listing containers must show two containers running and the port mapping as below: -``` -$ docker ps -CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES -dbdec637814f prom/prometheus "/bin/prometheus --c…" 8 minutes ago Up 8 minutes 0.0.0.0:9090->9090/tcp prometheus -79f667cb7dc2 grafana/grafana "/run.sh" 8 minutes ago Up 8 minutes 0.0.0.0:3000->3000/tcp grafana -``` - -Navigate to `http://localhost:3000` in your web browser and use the login credentials specified in the compose file to access Grafana. It is already configured with prometheus as the default datasource. - -![page](output.jpg) - -Navigate to `http://localhost:9090` in your web browser to access directly the web interface of prometheus. - -Stop and remove the containers. Use `-v` to remove the volumes if looking to erase all data. -``` -$ docker-compose down -v -``` diff --git a/docker/prometheus-grafana/docker-compose.yml b/docker/prometheus-grafana/docker-compose.yml deleted file mode 100644 index bd6bf86..0000000 --- a/docker/prometheus-grafana/docker-compose.yml +++ /dev/null @@ -1,26 +0,0 @@ -version: "3.7" -services: - prometheus: - image: prom/prometheus - container_name: prometheus - command: - - '--config.file=/etc/prometheus/prometheus.yml' - ports: - - 9090:9090 - restart: unless-stopped - volumes: - - ./prometheus:/etc/prometheus - - prom_data:/prometheus - grafana: - image: grafana/grafana - container_name: grafana - ports: - - 3000:3000 - restart: unless-stopped - environment: - - GF_SECURITY_ADMIN_USER=admin - - GF_SECURITY_ADMIN_PASSWORD=grafana - volumes: - - ./grafana:/etc/grafana/provisioning/datasources -volumes: - prom_data: diff --git a/docker/prometheus-grafana/grafana/datasource.yml b/docker/prometheus-grafana/grafana/datasource.yml deleted file mode 100644 index d7b8286..0000000 --- a/docker/prometheus-grafana/grafana/datasource.yml +++ /dev/null @@ -1,9 +0,0 @@ -apiVersion: 1 - -datasources: -- name: Prometheus - type: prometheus - url: http://prometheus:9090 - isDefault: true - access: proxy - editable: true diff --git a/docker/prometheus-grafana/output.jpg b/docker/prometheus-grafana/output.jpg deleted file mode 100644 index 083a852..0000000 Binary files a/docker/prometheus-grafana/output.jpg and /dev/null differ diff --git a/docker/prometheus-grafana/prometheus/prometheus.yml b/docker/prometheus-grafana/prometheus/prometheus.yml deleted file mode 100644 index 18c44da..0000000 --- a/docker/prometheus-grafana/prometheus/prometheus.yml +++ /dev/null @@ -1,21 +0,0 @@ -global: - scrape_interval: 15s - scrape_timeout: 10s - evaluation_interval: 15s -alerting: - alertmanagers: - - static_configs: - - targets: [] - scheme: http - timeout: 10s - api_version: v1 -scrape_configs: -- job_name: prometheus - honor_timestamps: true - scrape_interval: 15s - scrape_timeout: 10s - metrics_path: /metrics - scheme: http - static_configs: - - targets: - - localhost:9090 \ No newline at end of file diff --git a/docker/rediscluster/.gitignore b/docker/rediscluster/.gitignore deleted file mode 100644 index 5a19636..0000000 --- a/docker/rediscluster/.gitignore +++ /dev/null @@ -1,6 +0,0 @@ -*~ -.DS_Store - -Thumbs.db -*.swp -.env diff --git a/docker/rediscluster/README.md b/docker/rediscluster/README.md deleted file mode 100644 index b428d79..0000000 --- a/docker/rediscluster/README.md +++ /dev/null @@ -1,23 +0,0 @@ -# Launch Redis cluster via docker-compose for local development purpose - -This repo is cloned from: https://github.com/yowko/docker-compose-redis-cluster, here're some changes to fit my own needs: -1. Upgrade Redis version by using image `6.0.7-alpine` -2. Simplify the usage by removing the master/slave password (CAUTION: DO NOT USE IT ON PRODUCTION ENVIRONMENT) - -## Prerequisites -- docker -- docker-compose - - -## Usage -#### Start Redis cluster -```bash -ip=$(ipconfig getifaddr en0) docker-compose up -d --build -``` -The redis cluster will be ready on `127.0.0.1:7000` - -#### Stop Redis cluster -```bash - docker-compose down -v -``` - diff --git a/docker/rediscluster/docker-compose.yml b/docker/rediscluster/docker-compose.yml deleted file mode 100644 index 6152e20..0000000 --- a/docker/rediscluster/docker-compose.yml +++ /dev/null @@ -1,73 +0,0 @@ -version: '3.4' - -services: - redis-node1: - build: - context: redis - ports: - - "7000:7000" - - "17000:17000" - restart: always - entrypoint: [redis-server, /etc/redis/rediscluster.conf, --port,"7000", --cluster-announce-ip,"${ip}"] - redis-node2: - build: - context: redis - ports: - - "7001:7001" - - "17001:17001" - restart: always - entrypoint: [redis-server, /etc/redis/rediscluster.conf, --port,"7001",--cluster-announce-ip,"${ip}"] - redis-node3: - build: - context: redis - ports: - - "7002:7002" - - "17002:17002" - restart: always - entrypoint: [redis-server, /etc/redis/rediscluster.conf, --port,"7002",--cluster-announce-ip,"${ip}"] - redis-node4: - build: - context: redis - ports: - - "7003:7003" - - "17003:17003" - restart: always - entrypoint: [redis-server, /etc/redis/rediscluster.conf, --port,"7003",--cluster-announce-ip,"${ip}"] - depends_on: - - redis-node1 - - redis-node2 - - redis-node3 - redis-node5: - build: - context: redis - ports: - - "7004:7004" - - "17004:17004" - restart: always - entrypoint: [redis-server, /etc/redis/rediscluster.conf, --port,"7004",--cluster-announce-ip,"${ip}"] - depends_on: - - redis-node1 - - redis-node2 - - redis-node3 - redis-node6: - build: - context: redis - ports: - - "7005:7005" - - "17005:17005" - restart: always - entrypoint: [redis-server, /etc/redis/rediscluster.conf, --port,"7005",--cluster-announce-ip,"${ip}"] - depends_on: - - redis-node1 - - redis-node2 - - redis-node3 - redis-cluster-creator: - image: redis:6.0.3 - entrypoint: [/bin/sh,-c,'echo "yes" | redis-cli --cluster create ${ip}:7000 ${ip}:7001 ${ip}:7002 ${ip}:7003 ${ip}:7004 ${ip}:7005 --cluster-replicas 1'] - depends_on: - - redis-node1 - - redis-node2 - - redis-node3 - - redis-node4 - - redis-node5 - - redis-node6 diff --git a/docker/rediscluster/redis/Dockerfile b/docker/rediscluster/redis/Dockerfile deleted file mode 100644 index 7d118fd..0000000 --- a/docker/rediscluster/redis/Dockerfile +++ /dev/null @@ -1,5 +0,0 @@ -FROM redis:6.0.7-alpine - -COPY rediscluster.conf /etc/redis/rediscluster.conf - -ENTRYPOINT redis-server /etc/redis/rediscluster.conf diff --git a/docker/rediscluster/redis/rediscluster.conf b/docker/rediscluster/redis/rediscluster.conf deleted file mode 100644 index 0c09157..0000000 --- a/docker/rediscluster/redis/rediscluster.conf +++ /dev/null @@ -1,15 +0,0 @@ -# Allow remote access -bind 0.0.0.0 - -# Enable cluster mode -cluster-enabled yes - -cluster-config-file nodes.conf - -cluster-node-timeout 5000 - -# Set password for master node -#masterauth - -# Set password for slave node -#requirepass diff --git a/docker/tidb/.gitignore b/docker/tidb/.gitignore deleted file mode 100644 index 64536df..0000000 --- a/docker/tidb/.gitignore +++ /dev/null @@ -1,14 +0,0 @@ -/values.yaml -/generated-docker-compose.yml -/data -/logs -/pd/bin -/tikv/bin -/tidb/bin -/tidb-vision/tidb-vision -/tmp -/docker/dashboard_installer/dashboard/overview.json -/docker/dashboard_installer/dashboard/pd.json -/docker/dashboard_installer/dashboard/tidb.json -/docker/dashboard_installer/dashboard/tikv.json -/.idea diff --git a/docker/tidb/.travis.yml b/docker/tidb/.travis.yml deleted file mode 100644 index 401c4a1..0000000 --- a/docker/tidb/.travis.yml +++ /dev/null @@ -1,24 +0,0 @@ -sudo: required - -services: - - docker - -before_install: - - curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - - - sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" - - sudo apt-get update - - sudo apt-get -y install docker-ce # update docker version - - sudo curl -L https://github.com/docker/compose/releases/download/1.21.2/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose - - docker -v - - docker-compose -v - - docker-compose up -d - - sleep 10 # wait all components get ready - - docker-compose ps - - docker images - - docker network ls - - docker-compose logs - -script: - - docker ps -a --format="{{.Names}} {{.Image}} {{.Status}}" | grep -v 'Up' | grep -v 'Exited (0)' | awk '{print} END {if (NR>0) {exit 1;}}' - - docker-compose -f docker-compose-test.yml run --rm tispark-tests bash /opt/tispark-tests/tests/loaddata.sh # add some data for tests - # - docker-compose -f docker-compose-test.yml run --rm tispark-tests /opt/spark/bin/spark-submit /opt/spark/tests/tests.py # run tispark tests diff --git a/docker/tidb/LICENSE b/docker/tidb/LICENSE deleted file mode 100644 index b67d909..0000000 --- a/docker/tidb/LICENSE +++ /dev/null @@ -1,201 +0,0 @@ -Apache License - 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-**WARNING: This is for testing only, DO NOT USE IN PRODUCTION!** - -## Requirements - -* Docker >= 17.03 -* Docker Compose >= 1.6.0 - -> **Note:** [Legacy Docker Toolbox](https://docs.docker.com/toolbox/toolbox_install_mac/) users must migrate to [Docker for Mac](https://store.docker.com/editions/community/docker-ce-desktop-mac), since it is tested that tidb-docker-compose cannot be started on Docker Toolbox and Docker Machine. - -## Quick start - -```bash -$ git clone https://github.com/pingcap/tidb-docker-compose.git -$ cd tidb-docker-compose && docker-compose pull # Get the latest Docker images -$ docker-compose up -d -$ mysql -h 127.0.0.1 -P 4000 -u root -``` - -* Access monitor at http://localhost:3000 (login with admin/admin if you want to modify grafana) - -* Access [tidb-vision](https://github.com/pingcap/tidb-vision) at http://localhost:8010 - -* Access Spark Web UI at http://localhost:8080 - and access [TiSpark](https://github.com/pingcap/tispark) through spark://127.0.0.1:7077 - -## Docker Swarm - -You can also use Docker Swarm to deploy a TiDB Platform cluster, and then you can scale the service using `docker stack` commands. - -```bash -$ docker swarm init # if your docker daemon is not already part of a swarm -$ mkdir -p data logs -$ docker stack deploy tidb -c docker-swarm.yml -$ mysql -h 127.0.0.1 -P 4000 -u root -``` - -After deploying the stack, you can scale the number of TiDB Server instances in the cluster like this: - -```bash -$ docker service scale tidb_tidb=2 -``` - -Docker Swarm automatically load-balances across the containers that implement a scaled service, which you can see if you execute `select @@hostname` several times: - -```bash -$ mysql -h 127.0.0.1 -P 4000 -u root -te 'select @@hostname' -+--------------+ -| @@hostname | -+--------------+ -| 340092e0ec9e | -+--------------+ -$ mysql -h 127.0.0.1 -P 4000 -u root -te 'select @@hostname' -+--------------+ -| @@hostname | -+--------------+ -| e6f05ffe6274 | -+--------------+ -$ mysql -h 127.0.0.1 -P 4000 -u root -te 'select @@hostname' -+--------------+ -| @@hostname | -+--------------+ -| 340092e0ec9e | -+--------------+ -``` - -If you want to connect to specific backend instances, for example to test concurrency by ensuring that you are connecting to distinct instances of tidb-server, you can use the `docker service ps` command to assemble a hostname for each container: - -```bash -$ docker service ps --no-trunc --format '{{.Name}}.{{.ID}}' tidb_tidb -tidb_tidb.1.x3sc2sd66a88phsj103ohr6qq -tidb_tidb.2.lk53apndq394cega46at853zw -``` - -To be able to resolve those hostnames, it's easiest to run the MySQL client in a container that has access to the swarm network: - -```bash -$ docker run --rm --network=tidb_default arey/mysql-client -h tidb_tidb.1.x3sc2sd66a88phsj103ohr6qq -P 4000 -u root -t -e 'select @@version' -+-----------------------------------------+ -| @@version | -+-----------------------------------------+ -| 5.7.25-TiDB-v3.0.0-beta.1-40-g873d9514b | -+-----------------------------------------+ -``` - -To loop through all instances of TiDB Server, you can use a bash loop like this: - -```bash -for host in $(docker service ps --no-trunc --format '{{.Name}}.{{.ID}}' tidb_tidb) - do docker run --rm --network tidb_default arey/mysql-client \ - -h "$host" -P 4000 -u root -te "select @@hostname" -done -``` - -To stop all services and remove all containers in the TiDB stack, execute `docker stack rm tidb`. - -## Customize TiDB Cluster - -### Configuration - -* config/pd.toml is copied from [PD repo](https://github.com/pingcap/pd/tree/master/conf) -* config/tikv.toml is copied from [TiKV repo](https://github.com/pingcap/tikv/tree/master/etc) -* config/tidb.toml is copied from [TiDB repo](https://github.com/pingcap/tidb/tree/master/config) -* config/pump.toml is copied from [TiDB-Binlog repo](https://github.com/pingcap/tidb-binlog/tree/master/cmd/pump) -* config/drainer.toml is copied from [TiDB-Binlog repo](https://github.com/pingcap/tidb-binlog/tree/master/cmd/drainer) - -If you find these configuration files outdated or mismatch with TiDB version, you can copy these files from their upstream repos and change their metrics addr with `pushgateway:9091`. Also `max-open-files` are configured to `1024` in tikv.toml to simplify quick start on Linux, because setting up ulimit on Linux with docker is quite tedious. - -And config/\*-dashboard.json are copied from [TiDB-Ansible repo](https://github.com/pingcap/tidb-ansible/tree/master/scripts) - -You can customize TiDB cluster configuration by editing docker-compose.yml and the above config files if you know what you're doing. - -But edit these files manually is tedious and error-prone, a template engine is strongly recommended. See the following steps - -### Install Helm - -[Helm](https://helm.sh) is used as a template render engine - -``` -curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get | bash -``` - -Or if you use Mac, you can use homebrew to install Helm by `brew install kubernetes-helm` - -### Bring up TiDB cluster - -```bash -$ git clone https://github.com/pingcap/tidb-docker-compose.git -$ cd tidb-docker-compose -$ vi compose/values.yaml # custom cluster size, docker image, port mapping etc -$ helm template compose > generated-docker-compose.yaml -$ docker-compose -f generated-docker-compose.yaml pull # Get the latest Docker images -$ docker-compose -f generated-docker-compose.yaml up -d - -# If you want to Bring up TiDB cluster with Binlog support -$ vi compose/values.yaml # set tidb.enableBinlog to true -$ helm template compose > generated-docker-compose-binlog.yaml -$ docker-compose -f generated-docker-compose-binlog.yaml up -d # or you can use 'docker-compose-binlog.yml' file directly - -# Note: If the value of drainer.destDBType is "kafka" and -# you want to consume the kafka messages outside the docker containers, -# please update the kafka.advertisedHostName with your docker host IP in compose/values.yaml and -# regenerate the 'generated-docker-compose-binlog.yaml' file -``` - -You can build docker image yourself for development test. - -* Build from binary - - For pd, tikv, tidb, pump and drainer comment their `image` and `buildPath` fields out. And then copy their binary files to pd/bin/pd-server, tikv/bin/tikv-server, tidb/bin/tidb-server, tidb-binlog/bin/pump and tidb-binlog/bin/drainer. - - These binary files can be built locally or downloaded from https://download.pingcap.org/tidb-latest-linux-amd64.tar.gz - - For tidbVision, comment its `image` and `buildPath` fields out. And then copy tidb-vision repo to tidb-vision/tidb-vision. - -* Build from source - - Leave pd, tikv, tidb and tidbVision `image` field empty and set their `buildPath` field to their source directory. - - For example, if your local tikv source directory is $GOPATH/src/github.com/pingcap/tikv, just set tikv `buildPath` to `$GOPATH/src/github.com/pingcap/tikv` - - *Note:* Compiling tikv from source consumes lots of memory, memory of Docker for Mac needs to be adjusted to greater than 6GB - -[tidb-vision](https://github.com/pingcap/tidb-vision) is a visiualization page of TiDB Cluster, it's WIP project and can be disabled by commenting `tidbVision` out. - -[TiSpark](https://github.com/pingcap/tispark) is a thin layer built for running Apache Spark on top of TiDB/TiKV to answer the complex OLAP queries. - -#### Host network mode (Linux) - -*Note:* Docker for Mac uses a Linux virtual machine, host network mode will not expose any services to host machine. So it's useless to use this mode. - -When using TiKV directly without TiDB, host network mode must be enabled. This way all services use host network without isolation. So you can access all services on the host machine. - -You can enable this mode by setting `networkMode: host` in compose/values.yaml and regenerate docker-compose.yml. When in this mode, prometheus address in configuration files should be changed from `prometheus:9090` to `127.0.0.1:9090`, and pushgateway address should be changed from `pushgateway:9091` to `127.0.0.1:9091`. - -These modification can be done by: -```bash -# Note: this only needed when networkMode is `host` -sed -i 's/pushgateway:9091/127.0.0.1:9091/g' config/* -sed -i 's/prometheus:9090/127.0.0.1:9090/g' config/* -``` - -After all the above is done, you can start tidb-cluster as usual by `docker-compose -f generated-docker-compose.yml up -d` - -### Debug TiDB/TiKV/PD instances -Prerequisites: - -Pprof: This is a tool for visualization and analysis of profiling data. Follow [these instructions](https://github.com/google/pprof#building-pprof) to install pprof. - -Graphviz: [http://www.graphviz.org/](http://www.graphviz.org/), used to generate graphic visualizations of profiles. - -* debug TiDB or PD instances - -```bash -### Use the following command to starts a web server for graphic visualizations of golang program profiles -$ ./tool/container_debug -s pd0 -p /pd-server -w -``` -The above command will produce graphic visualizations of profiles of `pd0` that can be accessed through the browser. - -* debug TiKV instances - -```bash -### step 1: select a tikv instance(here is tikv0) and specify the binary path in container to enter debug container -$ ./tool/container_debug -s tikv0 -p /tikv-server - -### after step 1, we can generate flame graph for tikv0 in debug container -$ ./run_flamegraph.sh 1 # 1 is the tikv0's process id - -### also can fetch tikv0's stack informations with GDB in debug container -$ gdb /tikv-server 1 -batch -ex "thread apply all bt" -ex "info threads" -``` - -### Access TiDB cluster - -TiDB uses ports: 4000(mysql) and 10080(status) by default - -```bash -$ mysql -h 127.0.0.1 -P 4000 -u root -``` - -And Grafana uses port 3000 by default, so open your browser at http://localhost:3000 to view monitor dashboard - -If you enabled tidb-vision, you can view it at http://localhost:8010 - -### Access Spark shell and load TiSpark - -Insert some sample data to the TiDB cluster: - -```bash -$ docker-compose exec tispark-master bash -$ cd /opt/spark/data/tispark-sample-data -$ mysql --local-infile=1 -h tidb -P 4000 -u root < dss.ddl -``` - -After the sample data is loaded into the TiDB cluster, you can access Spark Shell by `docker-compose exec tispark-master /opt/spark/bin/spark-shell`. - -```bash -$ docker-compose exec tispark-master /opt/spark/bin/spark-shell -... -Spark context available as 'sc' (master = local[*], app id = local-1527045927617). -Spark session available as 'spark'. -Welcome to - ____ __ - / __/__ ___ _____/ /__ - _\ \/ _ \/ _ `/ __/ '_/ - /___/ .__/\_,_/_/ /_/\_\ version 2.1.1 - /_/ - -Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_172) -Type in expressions to have them evaluated. -Type :help for more information. - -scala> import org.apache.spark.sql.TiContext -... -scala> val ti = new TiContext(spark) -... -scala> ti.tidbMapDatabase("TPCH_001") -... -scala> spark.sql("select count(*) from lineitem").show -+--------+ -|count(1)| -+--------+ -| 60175| -+--------+ -``` - -You can also access Spark with Python or R using the following commands: - -``` -docker-compose exec tispark-master /opt/spark/bin/pyspark -docker-compose exec tispark-master /opt/spark/bin/sparkR -``` - -More documents about TiSpark can be found [here](https://github.com/pingcap/tispark). diff --git a/docker/tidb/compose/Chart.yaml b/docker/tidb/compose/Chart.yaml deleted file mode 100644 index 53e4cfc..0000000 --- a/docker/tidb/compose/Chart.yaml +++ /dev/null @@ -1,13 +0,0 @@ -apiVersion: v1 -description: tidb-docker-compose -name: tidb-docker-compose -version: 0.1.0 -home: https://github.com/pingcap/tidb-docker-compose -sources: - - https://github.com/pingcap/tidb-docker-compose -keywords: - - newsql - - htap - - database - - mysql - - raft diff --git a/docker/tidb/compose/templates/_helpers.tpl b/docker/tidb/compose/templates/_helpers.tpl deleted file mode 100644 index f98f22c..0000000 --- a/docker/tidb/compose/templates/_helpers.tpl +++ /dev/null @@ -1,62 +0,0 @@ -{{- define "initial_cluster" }} - {{- range until (.Values.pd.size | int) }} - {{- if . -}} - , - {{- end -}} - pd{{ . }}=http:// - {{- if eq $.Values.networkMode "host" -}} - 127.0.0.1:{{add (add ($.Values.pd.port | int) 10000) . }} - {{- else -}} - pd{{ . }}:2380 - {{- end -}} - {{- end -}} -{{- end -}} - -{{- define "pd_list" }} - {{- range until (.Values.pd.size | int) }} - {{- if . -}} - , - {{- end -}} - {{- if eq $.Values.networkMode "host" -}} - 127.0.0.1:{{ add ($.Values.pd.port | int) . }} - {{- else -}} - pd{{ . }}:2379 - {{- end -}} - {{- end -}} -{{- end -}} - -{{- define "pd_urls" }} - {{- range until (.Values.pd.size | int) }} - {{- if . -}} - , - {{- end -}} - {{- if eq $.Values.networkMode "host" -}} - http://127.0.0.1:{{ add ($.Values.pd.port | int) . }} - {{- else -}} - http://pd{{ . }}:2379 - {{- end -}} - {{- end -}} -{{- end -}} - -{{- define "zoo_servers" }} - {{- range until (.Values.zookeeper.size | int) }} - {{- if eq $.Values.networkMode "host" -}} - {{- if . }} {{ end }}server.{{ add . 1 }}=127.0.0.1:{{ add . 2888 }}:{{ add . 3888 }} - {{- else -}} - {{- if . }} {{ end }}server.{{ add . 1 }}=zoo{{ . }}:2888:3888 - {{- end -}} - {{- end -}} -{{- end -}} - -{{- define "zoo_connect" }} - {{- range until (.Values.zookeeper.size | int) }} - {{- if . -}} - , - {{- end -}} - {{- if eq $.Values.networkMode "host" -}} - 127.0.0.1:{{ add $.Values.zookeeper.port . }} - {{- else -}} - zoo{{ add . }}:{{ add $.Values.zookeeper.port . }} - {{- end -}} - {{- end -}} -{{- end -}} diff --git a/docker/tidb/compose/templates/docker-compose.yml b/docker/tidb/compose/templates/docker-compose.yml deleted file mode 100644 index 9ca7221..0000000 --- a/docker/tidb/compose/templates/docker-compose.yml +++ /dev/null @@ -1,431 +0,0 @@ -{{- $pdSize := .Values.pd.size | int }} -{{- $tikvSize := .Values.tikv.size | int }} -{{- $pdPort := .Values.pd.port | int }} -{{- $pdPeerPort := add $pdPort 10000 }} -{{- $tikvPort := .Values.tikv.port | int -}} -{{- $pumpSize := .Values.pump.size | int }} -{{- $pumpPort := .Values.pump.port | int }} -{{- $zooSize := .Values.zookeeper.size | int }} -{{- $zooPort := .Values.zookeeper.port | int }} -{{- $kafkaSize := .Values.kafka.size | int }} -{{- $kafkaPort := .Values.kafka.port | int }} -version: '2.1' - -services: - {{- range until $pdSize }} - pd{{ . }}: - {{- if $.Values.pd.image }} - image: {{ $.Values.pd.image }} - {{- else }} - image: pd:latest - build: - context: {{ $.Values.pd.buildPath | default "./pd" }} - dockerfile: {{ $.Values.pd.dockerfile | default "Dockerfile" }} - {{- end }} - {{- if eq $.Values.networkMode "host" }} - network_mode: host - {{- else }} - ports: - - "2379" - {{- end }} - volumes: - - ./config/pd.toml:/pd.toml:ro - - {{ $.Values.dataDir }}:/data - - {{ $.Values.logsDir }}:/logs - command: - - --name=pd{{ . }} - {{- if eq $.Values.networkMode "host" }} - - --client-urls=http://0.0.0.0:{{ add $pdPort . }} - - --peer-urls=http://0.0.0.0:{{ add $pdPeerPort . }} - - --advertise-client-urls=http://127.0.0.1:{{ add $pdPort . }} - - --advertise-peer-urls=http://127.0.0.1:{{ add $pdPeerPort . }} - {{- else }} - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd{{ . }}:2379 - - --advertise-peer-urls=http://pd{{ . }}:2380 - {{- end }} - - --initial-cluster={{- template "initial_cluster" $ }} - - --data-dir=/data/pd{{ . }} - - --config=/pd.toml - - --log-file=/logs/pd{{ . }}.log - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - {{ end }} - - {{- range until $tikvSize }} - tikv{{ . }}: - {{- if $.Values.tikv.image }} - image: {{ $.Values.tikv.image }} - {{- else }} - image: tikv:latest - build: - context: {{ $.Values.tikv.buildPath | default "./tikv" }} - dockerfile: {{ $.Values.tikv.dockerfile | default "Dockerfile" }} - {{- end }} - {{- if eq $.Values.networkMode "host" }} - network_mode: host - {{- end }} - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - {{ $.Values.dataDir }}:/data - - {{ $.Values.logsDir }}:/logs - command: - {{- if eq $.Values.networkMode "host" }} - - --addr=0.0.0.0:{{ add $tikvPort . }} - - --advertise-addr=127.0.0.1:{{ add $tikvPort . }} - {{- else }} - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv{{ . }}:20160 - {{- end }} - - --data-dir=/data/tikv{{ . }} - - --pd={{- template "pd_list" $ }} - - --config=/tikv.toml - - --log-file=/logs/tikv{{ . }}.log - depends_on: - {{- range until $pdSize }} - - "pd{{.}}" - {{- end }} - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - {{ end }} - - {{- if .Values.tidb }} - {{- if .Values.tidb.enableBinlog }} - {{- range until $pumpSize }} - pump{{ . }}: - {{- if $.Values.pump.image }} - image: {{ $.Values.pump.image }} - {{- else }} - image: tidb-binlog:latest - build: - context: {{ $.Values.pump.buildPath | default "./tidb-binlog" }} - dockerfile: {{ $.Values.pump.dockerfile | default "Dockerfile" }} - {{- end }} - {{- if eq $.Values.networkMode "host" }} - network_mode: host - {{- end }} - volumes: - - ./config/pump.toml:/pump.toml:ro - - {{ $.Values.dataDir }}:/data - - {{ $.Values.logsDir }}:/logs - command: - - /pump - {{- if eq $.Values.networkMode "host" }} - - --addr=0.0.0.0:{{ add $pumpPort . }} - - --advertise-addr=127.0.0.1:{{ add $pumpPort . }} - {{- else }} - - --addr=0.0.0.0:8250 - - --advertise-addr=pump{{ . }}:8250 - {{- end }} - - --data-dir=/data/pump{{ . }} - - --log-file=/logs/pump{{ . }}.log - - --node-id=pump{{ . }} - - --pd-urls={{- template "pd_urls" $ }} - - --config=/pump.toml - depends_on: - {{- range until $pdSize }} - - "pd{{.}}" - {{- end }} - restart: on-failure - {{ end }} - drainer: - {{- if $.Values.drainer.image }} - image: {{ $.Values.drainer.image }} - {{- else }} - image: tidb-binlog:latest - build: - context: {{ $.Values.drainer.buildPath | default "./tidb-binlog" }} - dockerfile: {{ $.Values.drainer.dockerfile | default "Dockerfile" }} - {{- end }} - {{- if eq $.Values.networkMode "host" }} - network_mode: host - {{- end }} - volumes: - - ./config/drainer.toml:/drainer.toml:ro - - {{ $.Values.dataDir }}:/data - - {{ $.Values.logsDir }}:/logs - command: - - /drainer - - --addr=0.0.0.0:8249 - - --data-dir=/data/data.drainer - - --log-file=/logs/drainer.log - - --pd-urls={{- template "pd_urls" $ }} - - --config=/drainer.toml - - --initial-commit-ts=0 - {{- if eq $.Values.drainer.destDBType "kafka" }} - - --dest-db-type=kafka - {{- end }} - depends_on: - {{- range until $pdSize }} - - "pd{{ . }}" - {{- end }} - {{- if eq $.Values.drainer.destDBType "kafka" }} - {{- range until $kafkaSize }} - - "kafka{{ . }}" - {{- end }} - {{- end }} - restart: on-failure - - {{- if eq $.Values.drainer.destDBType "kafka" }} - {{ range until $zooSize }} - zoo{{ . }}: - image: zookeeper:latest - {{- if eq $.Values.networkMode "host" }} - network_mode: host - {{- else }} - ports: - - "{{ add $zooPort . }}:{{ add $zooPort . }}" - {{- end }} - environment: - ZOO_MY_ID: {{ add . 1 }} - ZOO_PORT: {{ add $zooPort . }} - ZOO_SERVERS: {{ template "zoo_servers" $ }} - volumes: - - {{ $.Values.dataDir }}/zoo{{ . }}/data:/data - - {{ $.Values.dataDir }}/zoo{{ . }}/datalog:/datalog - restart: on-failure - {{ end }} - - {{- range until $kafkaSize }} - kafka{{ . }}: - image: {{ $.Values.kafka.image }} - {{- if eq $.Values.networkMode "host" }} - network_mode: host - {{- else }} - ports: - - "{{ add . $kafkaPort }}:{{ add . $kafkaPort }}" - {{- end }} - environment: - KAFKA_BROKER_ID: {{ add . 1 }} - KAFKA_LOG_DIRS: /data/kafka-logs - {{- if $.Values.kafka.advertisedHostName }} - KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://{{ $.Values.kafka.advertisedHostName }}:{{ add . $kafkaPort }} - {{- else }} - {{- if eq $.Values.networkMode "host" }} - KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://127.0.0.1:{{ add . $kafkaPort }} - {{- else }} - KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka{{ . }}:{{ add . $kafkaPort }} - {{- end }} - {{- end }} - KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:{{ add . $kafkaPort }} - KAFKA_ZOOKEEPER_CONNECT: {{ template "zoo_connect" $ }} - volumes: - - {{ $.Values.dataDir }}/kafka-logs/kafka{{ . }}:/data/kafka-logs - - {{ $.Values.logsDir }}/kafka{{ . }}:/opt/kafka/logs - - /var/run/docker.sock:/var/run/docker.sock - depends_on: - {{- range until $zooSize }} - - "zoo{{ . }}" - {{- end }} - restart: on-failure - {{- end }} - {{- end }} - {{- end }} - {{ end }} - - {{- if .Values.tidb }} - tidb: - {{- if .Values.tidb.image }} - image: {{ .Values.tidb.image }} - {{- else }} - image: tidb:latest - build: - context: {{ .Values.tidb.buildPath | default "./tidb" }} - dockerfile: {{ .Values.tidb.dockerfile | default "Dockerfile" }} - {{- end }} - {{- if eq .Values.networkMode "host" }} - network_mode: host - {{- else }} - ports: - - "{{ .Values.tidb.mysqlPort }}:4000" - - "{{ .Values.tidb.statusPort }}:10080" - {{- end }} - volumes: - - ./config/tidb.toml:/tidb.toml:ro - - {{ .Values.logsDir }}:/logs - command: - - --store=tikv - - --path={{- template "pd_list" $ }} - - --config=/tidb.toml - - --log-file=/logs/tidb.log - - --advertise-address=tidb - {{- if .Values.tidb.enableBinlog }} - - --enable-binlog=true - {{- end }} - depends_on: - {{- range until $tikvSize }} - - "tikv{{.}}" - {{- end }} - {{- if .Values.tidb.enableBinlog }} - {{- range until $pumpSize }} - - "pump{{.}}" - {{- end }} - {{- end }} - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - {{ end }} - - {{- if .Values.tispark }} - tispark-master: - {{- if .Values.tispark.image }} - image: {{ .Values.tispark.image }} - {{- else }} - image: tispark:latest - build: - context: {{ .Values.tispark.buildPath | default "./tispark" }} - dockerfile: {{ .Values.tispark.dockerfile | default "Dockerfile" }} - {{- end }} - command: - - /opt/spark/sbin/start-master.sh - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_MASTER_PORT: {{ .Values.tispark.masterPort }} - SPARK_MASTER_WEBUI_PORT: {{ .Values.tispark.webuiPort }} - ports: - - "{{ .Values.tispark.masterPort }}:7077" - - "{{ .Values.tispark.webuiPort }}:8080" - depends_on: - {{- range until $tikvSize }} - - "tikv{{.}}" - {{- end }} - restart: on-failure - {{- range until ( .Values.tispark.workerCount | int ) }} - tispark-slave{{ . }}: - {{- if $.Values.tispark.image }} - image: {{ $.Values.tispark.image }} - {{- else }} - image: tispark:latest - build: - context: {{ $.Values.tispark.buildPath | default "./tispark" }} - dockerfile: {{ $.Values.tispark.dockerfile | default "Dockerfile" }} - {{- end }} - command: - - /opt/spark/sbin/start-slave.sh - - spark://tispark-master:7077 - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_WORKER_WEBUI_PORT: {{ add $.Values.tispark.workerWebUIPort . }} - ports: - - "{{ add $.Values.tispark.workerWebUIPort . }}:{{ add $.Values.tispark.workerWebUIPort . }}" - depends_on: - - tispark-master - restart: on-failure - {{- end }} - {{ end }} - - {{- if .Values.tidbVision }} - tidb-vision: - {{- if .Values.tidbVision.image }} - image: {{ .Values.tidbVision.image }} - {{- else }} - image: tidb-vision:latest - build: - context: {{ .Values.tidbVision.buildPath | default "./tidb-vision" }} - dockerfile: {{ .Values.tidbVision.dockerfile | default "Dockerfile" }} - {{- end }} - environment: - PD_ENDPOINT: {{if eq .Values.networkMode "host"}}127.0.0.1:{{.Values.pd.port}}{{else}}pd0:2379{{end}} - {{- if eq .Values.networkMode "host" }} - PORT: {{ .Values.tidbVision.port }} - network_mode: host - {{- else }} - ports: - - "{{ .Values.tidbVision.port }}:8010" - {{- end }} - restart: on-failure - {{- end }} - - {{- if .Values.prometheus }} - pushgateway: - image: {{ .Values.pushgateway.image }} - {{- if eq .Values.networkMode "host" }} - command: - - --web.listen-address=0.0.0.0:{{.Values.pushgateway.port}} - - --log.level={{ .Values.pushgateway.logLevel }} - network_mode: host - {{- else }} - command: - - --log.level={{ .Values.pushgateway.logLevel }} - {{- end }} - restart: on-failure - - prometheus: - user: root - image: {{ .Values.prometheus.image }} - command: - - --log.level={{ .Values.prometheus.logLevel }} - - --storage.tsdb.path=/data/prometheus - - --config.file=/etc/prometheus/prometheus.yml - {{- if eq .Values.networkMode "host" }} - - --web.listen-address=0.0.0.0:{{.Values.prometheus.port}} - network_mode: host - {{- else }} - ports: - - "{{ .Values.prometheus.port }}:9090" - {{- end }} - volumes: - - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro - - ./config/pd.rules.yml:/etc/prometheus/pd.rules.yml:ro - - ./config/tikv.rules.yml:/etc/prometheus/tikv.rules.yml:ro - - ./config/tidb.rules.yml:/etc/prometheus/tidb.rules.yml:ro - - {{ .Values.dataDir }}:/data - restart: on-failure - {{- end }} - - {{- if .Values.grafana }} - grafana: - image: {{ .Values.grafana.image }} - user: "0" - {{- if eq .Values.networkMode "host" }} - network_mode: host - environment: - GF_SERVER_HTTP_PORT: {{ .Values.grafana.port }} - GF_LOG_LEVEL: {{ .Values.grafana.logLevel }} - {{- else }} - environment: - GF_LOG_LEVEL: {{ .Values.grafana.logLevel }} - GF_PATHS_PROVISIONING: /etc/grafana/provisioning - GF_PATHS_CONFIG: /etc/grafana/grafana.ini - ports: - - "{{ .Values.grafana.port }}:3000" - {{- end }} - volumes: - - ./config/grafana:/etc/grafana - - ./config/dashboards:/tmp/dashboards - - ./data/grafana:/var/lib/grafana - restart: on-failure - dashboard-installer: - {{- if .Values.dashboardInstaller.image }} - image: {{ .Values.dashboardInstaller.image }} - {{- else }} - image: tidb-dashboard-installer:latest - build: - context: {{ .Values.dashboardInstaller.buildPath | default "./dashboard-installer" }} - dockerfile: {{ .Values.dashboardInstaller.dockerfile | default "Dockerfile" }} - {{- end }} - {{- if eq .Values.networkMode "host" }} - network_mode: host - command: ["127.0.0.1:{{.Values.grafana.port}}"] - {{- else }} - command: ["grafana:3000"] - {{- end }} - restart: on-failure - {{- end -}} diff --git a/docker/tidb/compose/values.yaml b/docker/tidb/compose/values.yaml deleted file mode 100644 index 4b837ad..0000000 --- a/docker/tidb/compose/values.yaml +++ /dev/null @@ -1,125 +0,0 @@ -dataDir: ./data -logsDir: ./logs -# supported networkMode: bridge | host -# host network mode is useless on Mac -networkMode: bridge - -pd: - size: 3 - image: pingcap/pd:latest - - # If you want to build pd image from source, leave image empty and specify pd source directory - # and its dockerfile name - # buildPath: ./pd - # dockerfile: Dockerfile - # when network_mode is host, pd port ranges [port, port+size) - port: 2379 - -tikv: - size: 3 - image: pingcap/tikv:latest - - # If you want to build tikv image from source, leave image empty and specify tikv source directory - # and its dockerfile name - # buildPath: ./tikv - # dockerfile: Dockerfile - # when network mode is host, tikv port ranges [port, port+size) - port: 20160 - -# comment this section out if you don't need SQL layer and want to use TiKV directly -# when using TiKV directly, networkMode must be set to `host` -tidb: - image: pingcap/tidb:latest - - # If you want to build tidb image from source, leave image empty and specify tidb source directory - # and its dockerfile name - # buildPath: ./tidb - # dockerfile: Dockerfile - mysqlPort: "4000" - statusPort: "10080" - enableBinlog: false - -pump: - size: 3 - image: pingcap/tidb-binlog:latest - - # If you want to build pump image from source, leave image empty and specify pump source directory - # and its dockerfile name - # buildPath: ./pump - # dockerfile: Dockerfile - # when network_mode is host, pump port ranges [port, port+size) - port: 8250 - -drainer: - image: pingcap/tidb-binlog:latest - - # If you want to build drainer image from source, leave image empty and specify drainer source directory - # and its dockerfile name - # buildPath: ./drainer - # dockerfile: Dockerfile - destDBType: "kafka" - -zookeeper: - size: 3 - image: zookeeper:latest - port: 2181 - -kafka: - size: 3 - image: wurstmeister/kafka:2.12-2.1.1 - # If you want to consume the kafka messages outside the docker containers, - # Please update the advertisedHostName with your docker host IP - advertisedHostName: - port: 9092 - -tispark: - image: pingcap/tispark:latest - - # If you want to build tidb image from source, leave image empty and specify tidb source directory - # and its dockerfile name - # buildPath: ./tidb - # dockerfile: Dockerfile - buildPath: ./tispark - dockerfile: Dockerfile - - masterPort: 7077 - webuiPort: 8080 - workerCount: 1 - # slave web ui port will be workerWebUIPort ~ workerWebUIPort+workerCount-1 - workerWebUIPort: 38081 - -# comment this out to disable tidb-vision -tidbVision: - image: pingcap/tidb-vision:latest - - # If you want to build tidb-vision image from source, leave image empty and specify tidb-vision source directory - # and its dockerfile name - # buildPath: ./tidb-vision - # dockerfile: Dockerfile - port: "8010" - -# comment following monitor components sections out to disable monitor -grafana: - image: grafana/grafana:5.3.0 - port: "3000" - logLevel: error - -pushgateway: - image: prom/pushgateway:v0.3.1 - port: "9091" - logLevel: error - -prometheus: - image: prom/prometheus:v2.2.1 - port: "9090" - logLevel: error - -# This is used to import tidb monitor dashboard templates to grafana -# this container runs only once and keep running until templates imported successfully -dashboardInstaller: - image: pingcap/tidb-dashboard-installer:v2.0.0 - - # If you want to build tidb-dashboard-installer image from source, leave image empty and specify tidb-dashboard-installer source directory - # and its dockerfile name - # buildPath: ./dashboard-installer - # dockerfile: Dockerfile diff --git a/docker/tidb/config/dashboards/README.md b/docker/tidb/config/dashboards/README.md deleted file mode 100644 index 42a9770..0000000 --- a/docker/tidb/config/dashboards/README.md +++ /dev/null @@ -1,9 +0,0 @@ -# TiDB dashboard -With Grafana v5.x or later, we can use provisioning feature to statically provision datasources and dashboards. 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} - ], - "schemaVersion": 14, - "style": "dark", - "tags": [], - "templating": { - "list": [ - { - "allValue": null, - "current": {}, - "datasource": "tidb-cluster", - "hide": 0, - "includeAll": true, - "label": "db", - "multi": true, - "name": "db", - "options": [], - "query": "label_values(tikv_engine_block_cache_size_bytes, db)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - }, - { - "allValue": null, - "current": {}, - "datasource": "tidb-cluster", - "hide": 0, - "includeAll": true, - "label": "command", - "multi": true, - "name": "command", - "options": [], - "query": "label_values(tikv_storage_command_total, type)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - }, - { - "allValue": ".*", - "current": {}, - "datasource": "tidb-cluster", - "hide": 0, - "includeAll": true, - "label": "Instance", - "multi": false, - "name": "instance", - "options": [], - "query": "label_values(tikv_engine_size_bytes, instance)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - } - ] - }, - "time": { - "from": "now-1h", - "to": "now" - }, - "timepicker": { - "refresh_intervals": [ - "5s", - "10s", - "30s", - "1m", - "5m", - "15m", - "30m", - "1h", - "2h", - "1d" - ], - "time_options": [ - "5m", - "15m", - "1h", - "6h", - "12h", - "24h", - "2d", - "7d", - "30d" - ] - }, - "timezone": "browser", - "title": "TIDB-Cluster-TiKV", - "version": 2 -} diff --git a/docker/tidb/config/drainer.toml b/docker/tidb/config/drainer.toml deleted file mode 100644 index b2190e3..0000000 --- a/docker/tidb/config/drainer.toml +++ /dev/null @@ -1,101 +0,0 @@ -# drainer Configuration. - - # addr (i.e. 'host:port') to listen on for drainer connections -# will register this addr into etcd -# addr = "127.0.0.1:8249" - - # the interval time (in seconds) of detect pumps' status -detect-interval = 10 - - # drainer meta data directory path -data-dir = "data.drainer" - - # a comma separated list of PD endpoints -pd-urls = "http://127.0.0.1:2379" - - # Use the specified compressor to compress payload between pump and drainer -compressor = "" - - #[security] -# Path of file that contains list of trusted SSL CAs for connection with cluster components. -# ssl-ca = "/path/to/ca.pem" -# Path of file that contains X509 certificate in PEM format for connection with cluster components. -# ssl-cert = "/path/to/pump.pem" -# Path of file that contains X509 key in PEM format for connection with cluster components. -# ssl-key = "/path/to/pump-key.pem" - - # syncer Configuration. -[syncer] - - # Assume the upstream sql-mode. -# If this is setted , will use the same sql-mode to parse DDL statment, and set the same sql-mode at downstream when db-type is mysql. -# If this is not setted, it will not set any sql-mode. -# sql-mode = "STRICT_TRANS_TABLES,NO_ENGINE_SUBSTITUTION" - - # number of binlog events in a transaction batch -txn-batch = 20 - - # work count to execute binlogs -# if the latency between drainer and downstream(mysql or tidb) are too high, you might want to increase this -# to get higher throughput by higher concurrent write to the downstream -worker-count = 16 - - disable-dispatch = false - - # safe mode will split update to delete and insert -safe-mode = false - - # downstream storage, equal to --dest-db-type -# valid values are "mysql", "file", "tidb", "flash", "kafka" -db-type = "kafka" - - # disable sync these schema -ignore-schemas = "INFORMATION_SCHEMA,PERFORMANCE_SCHEMA,mysql" - - ##replicate-do-db priority over replicate-do-table if have same db name -##and we support regex expression , start with '~' declare use regex expression. -# -#replicate-do-db = ["~^b.*","s1"] - - #[[syncer.replicate-do-table]] -#db-name ="test" -#tbl-name = "log" - - #[[syncer.replicate-do-table]] -#db-name ="test" -#tbl-name = "~^a.*" - - # disable sync these table -#[[syncer.ignore-table]] -#db-name = "test" -#tbl-name = "log" - - # the downstream mysql protocol database -#[syncer.to] -#host = "127.0.0.1" -#user = "root" -#password = "" -#port = 3306 - - [syncer.to.checkpoint] -# you can uncomment this to change the database to save checkpoint when the downstream is mysql or tidb -#schema = "tidb_binlog" - - # Uncomment this if you want to use file as db-type. -#[syncer.to] -# directory to save binlog file, default same as data-dir(save checkpoint file) if this is not configured. -# dir = "data.drainer" - - - # when db-type is kafka, you can uncomment this to config the down stream kafka, it will be the globle config kafka default -[syncer.to] -# only need config one of zookeeper-addrs and kafka-addrs, will get kafka address if zookeeper-addrs is configed. -# zookeeper-addrs = "127.0.0.1:2181" - kafka-addrs = "kafka0:9092,kafka1:9093,kafka2:9094" - kafka-version = "2.1.1" - kafka-max-messages = 1024 -# -# -# the topic name drainer will push msg, the default name is _obinlog -# be careful don't use the same name if run multi drainer instances -# topic-name = "" diff --git a/docker/tidb/config/grafana-datasource.json b/docker/tidb/config/grafana-datasource.json deleted file mode 100644 index c5581d6..0000000 --- a/docker/tidb/config/grafana-datasource.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "name": "tidb-cluster", - "type": "prometheus", - "url": "http://prometheus:9090", - "access": "proxy", - "basicAuth": false -} diff --git a/docker/tidb/config/grafana/grafana.ini b/docker/tidb/config/grafana/grafana.ini deleted file mode 100644 index 3a639fc..0000000 --- a/docker/tidb/config/grafana/grafana.ini +++ /dev/null @@ -1,556 +0,0 @@ -##################### Grafana Configuration Defaults ##################### -# -# Do not modify this file in grafana installs -# - -# possible values : production, development -app_mode = production - -# instance name, defaults to HOSTNAME environment variable value or hostname if HOSTNAME var is empty -instance_name = ${HOSTNAME} - -#################################### Paths ############################### -[paths] -# Path to where grafana can store temp files, sessions, and the sqlite3 db (if that is used) -data = data - -# Temporary files in `data` directory older than given duration will be removed -temp_data_lifetime = 24h - -# Directory where grafana can store logs -logs = data/log - -# Directory where grafana will automatically scan and look for plugins -plugins = data/plugins - -# folder that contains provisioning config files that grafana will apply on startup and while running. -provisioning = conf/provisioning - -#################################### Server ############################## -[server] -# Protocol (http, https, socket) -protocol = http - -# The ip address to bind to, empty will bind to all interfaces -http_addr = - -# The http port to use -http_port = 3000 - -# The public facing domain name used to access grafana from a browser -domain = localhost - -# Redirect to correct domain if host header does not match domain -# Prevents DNS rebinding attacks -enforce_domain = false - -# The full public facing url -root_url = %(protocol)s://%(domain)s:%(http_port)s/ - -# Log web requests -router_logging = false - -# the path relative working path -static_root_path = public - -# enable gzip -enable_gzip = false - -# https certs & key file -cert_file = -cert_key = - -# Unix socket path -socket = /tmp/grafana.sock - -#################################### Database ############################ -[database] -# You can configure the database connection by specifying type, host, name, user and password -# as separate properties or as on string using the url property. - -# Either "mysql", "postgres" or "sqlite3", it's your choice -type = sqlite3 -host = 127.0.0.1:3306 -name = grafana -user = root -# If the password contains # or ; you have to wrap it with triple quotes. Ex """#password;""" -password = -# Use either URL or the previous fields to configure the database -# Example: mysql://user:secret@host:port/database -url = - -# Max idle conn setting default is 2 -max_idle_conn = 2 - -# Max conn setting default is 0 (mean not set) -max_open_conn = - -# Connection Max Lifetime default is 14400 (means 14400 seconds or 4 hours) -conn_max_lifetime = 14400 - -# Set to true to log the sql calls and execution times. -log_queries = - -# For "postgres", use either "disable", "require" or "verify-full" -# For "mysql", use either "true", "false", or "skip-verify". -ssl_mode = disable - -ca_cert_path = -client_key_path = -client_cert_path = -server_cert_name = - -# For "sqlite3" only, path relative to data_path setting -path = grafana.db - -#################################### Session ############################# -[session] -# Either "memory", "file", "redis", "mysql", "postgres", "memcache", default is "file" -provider = file - -# Provider config options -# memory: not have any config yet -# file: session dir path, is relative to grafana data_path -# redis: config like redis server e.g. `addr=127.0.0.1:6379,pool_size=100,db=grafana` -# postgres: user=a password=b host=localhost port=5432 dbname=c sslmode=disable -# mysql: go-sql-driver/mysql dsn config string, examples: -# `user:password@tcp(127.0.0.1:3306)/database_name` -# `user:password@unix(/var/run/mysqld/mysqld.sock)/database_name` -# memcache: 127.0.0.1:11211 - - -provider_config = sessions - -# Session cookie name -cookie_name = grafana_sess - -# If you use session in https only, default is false -cookie_secure = false - -# Session life time, default is 86400 -session_life_time = 86400 -gc_interval_time = 86400 - -# Connection Max Lifetime default is 14400 (means 14400 seconds or 4 hours) -conn_max_lifetime = 14400 - -#################################### Data proxy ########################### -[dataproxy] - -# This enables data proxy logging, default is false -logging = false - -#################################### Analytics ########################### -[analytics] -# Server reporting, sends usage counters to stats.grafana.org every 24 hours. -# No ip addresses are being tracked, only simple counters to track -# running instances, dashboard and error counts. It is very helpful to us. -# Change this option to false to disable reporting. -reporting_enabled = true - -# Set to false to disable all checks to https://grafana.com -# for new versions (grafana itself and plugins), check is used -# in some UI views to notify that grafana or plugin update exists -# This option does not cause any auto updates, nor send any information -# only a GET request to https://grafana.com to get latest versions -check_for_updates = true - -# Google Analytics universal tracking code, only enabled if you specify an id here -google_analytics_ua_id = - -# Google Tag Manager ID, only enabled if you specify an id here -google_tag_manager_id = - -#################################### Security ############################ -[security] -# default admin user, created on startup -admin_user = admin - -# default admin password, can be changed before first start of grafana, or in profile settings -admin_password = admin - -# used for signing -secret_key = SW2YcwTIb9zpOOhoPsMm - -# Auto-login remember days -login_remember_days = 7 -cookie_username = grafana_user -cookie_remember_name = grafana_remember - -# disable gravatar profile images -disable_gravatar = false - -# data source proxy whitelist (ip_or_domain:port separated by spaces) -data_source_proxy_whitelist = - -# disable protection against brute force login attempts -disable_brute_force_login_protection = false - -#################################### Snapshots ########################### -[snapshots] -# snapshot sharing options -external_enabled = true -external_snapshot_url = https://snapshots-origin.raintank.io -external_snapshot_name = Publish to snapshot.raintank.io - -# remove expired snapshot -snapshot_remove_expired = true - -#################################### Dashboards ################## - -[dashboards] -# Number dashboard versions to keep (per dashboard). Default: 20, Minimum: 1 -versions_to_keep = 20 - -#################################### Users ############################### -[users] -# disable user signup / registration -allow_sign_up = false - -# Allow non admin users to create organizations -allow_org_create = false - -# Set to true to automatically assign new users to the default organization (id 1) -auto_assign_org = true - -# Set this value to automatically add new users to the provided organization (if auto_assign_org above is set to true) -auto_assign_org_id = 1 - -# Default role new users will be automatically assigned (if auto_assign_org above is set to true) -auto_assign_org_role = Viewer - -# Require email validation before sign up completes -verify_email_enabled = false - -# Background text for the user field on the login page -login_hint = email or username - -# Default UI theme ("dark" or "light") -default_theme = dark - -# External user management -external_manage_link_url = -external_manage_link_name = -external_manage_info = - -# Viewers can edit/inspect dashboard settings in the browser. But not save the dashboard. -viewers_can_edit = false - -[auth] -# Set to true to disable (hide) the login form, useful if you use OAuth -disable_login_form = false - -# Set to true to disable the signout link in the side menu. useful if you use auth.proxy -disable_signout_menu = false - -# URL to redirect the user to after sign out -signout_redirect_url = - -#################################### Anonymous Auth ###################### -[auth.anonymous] -# enable anonymous access -enabled = true - -# specify organization name that should be used for unauthenticated users -org_name = Main Org. - -# specify role for unauthenticated users -org_role = Viewer - -#################################### Github Auth ######################### -[auth.github] -enabled = false -allow_sign_up = true -client_id = some_id -client_secret = some_secret -scopes = user:email,read:org -auth_url = https://github.com/login/oauth/authorize -token_url = https://github.com/login/oauth/access_token -api_url = https://api.github.com/user -team_ids = -allowed_organizations = - -#################################### GitLab Auth ######################### -[auth.gitlab] -enabled = false -allow_sign_up = true -client_id = some_id -client_secret = some_secret -scopes = api -auth_url = https://gitlab.com/oauth/authorize -token_url = https://gitlab.com/oauth/token -api_url = https://gitlab.com/api/v4 -allowed_groups = - -#################################### Google Auth ######################### -[auth.google] -enabled = false -allow_sign_up = true -client_id = some_client_id -client_secret = some_client_secret -scopes = https://www.googleapis.com/auth/userinfo.profile https://www.googleapis.com/auth/userinfo.email -auth_url = https://accounts.google.com/o/oauth2/auth -token_url = https://accounts.google.com/o/oauth2/token -api_url = https://www.googleapis.com/oauth2/v1/userinfo -allowed_domains = -hosted_domain = - -#################################### Grafana.com Auth #################### -# legacy key names (so they work in env variables) -[auth.grafananet] -enabled = false -allow_sign_up = true -client_id = some_id -client_secret = some_secret -scopes = user:email -allowed_organizations = - -[auth.grafana_com] -enabled = false -allow_sign_up = true -client_id = some_id -client_secret = some_secret -scopes = user:email -allowed_organizations = - -#################################### Generic OAuth ####################### -[auth.generic_oauth] -name = OAuth -enabled = false -allow_sign_up = true -client_id = some_id -client_secret = some_secret -scopes = user:email -email_attribute_name = email:primary -auth_url = -token_url = -api_url = -team_ids = -allowed_organizations = -tls_skip_verify_insecure = false -tls_client_cert = -tls_client_key = -tls_client_ca = - -#################################### Basic Auth ########################## -[auth.basic] -enabled = true - -#################################### Auth Proxy ########################## -[auth.proxy] -enabled = false -header_name = X-WEBAUTH-USER -header_property = username -auto_sign_up = true -ldap_sync_ttl = 60 -whitelist = - -#################################### Auth LDAP ########################### -[auth.ldap] -enabled = false -config_file = /etc/grafana/ldap.toml -allow_sign_up = true - -#################################### SMTP / Emailing ##################### -[smtp] -enabled = false -host = localhost:25 -user = -# If the password contains # or ; you have to wrap it with triple quotes. Ex """#password;""" -password = -cert_file = -key_file = -skip_verify = false -from_address = admin@grafana.localhost -from_name = Grafana -ehlo_identity = - -[emails] -welcome_email_on_sign_up = false -templates_pattern = emails/*.html - -#################################### Logging ########################## -[log] -# Either "console", "file", "syslog". Default is console and file -# Use space to separate multiple modes, e.g. "console file" -mode = console file - -# Either "debug", "info", "warn", "error", "critical", default is "info" -level = info - -# optional settings to set different levels for specific loggers. Ex filters = sqlstore:debug -filters = - -# For "console" mode only -[log.console] -level = - -# log line format, valid options are text, console and json -format = console - -# For "file" mode only -[log.file] -level = - -# log line format, valid options are text, console and json -format = text - -# This enables automated log rotate(switch of following options), default is true -log_rotate = true - -# Max line number of single file, default is 1000000 -max_lines = 1000000 - -# Max size shift of single file, default is 28 means 1 << 28, 256MB -max_size_shift = 28 - -# Segment log daily, default is true -daily_rotate = true - -# Expired days of log file(delete after max days), default is 7 -max_days = 7 - -[log.syslog] -level = - -# log line format, valid options are text, console and json -format = text - -# Syslog network type and address. This can be udp, tcp, or unix. If left blank, the default unix endpoints will be used. -network = -address = - -# Syslog facility. user, daemon and local0 through local7 are valid. -facility = - -# Syslog tag. By default, the process' argv[0] is used. -tag = - -#################################### Usage Quotas ######################## -[quota] -enabled = false - -#### set quotas to -1 to make unlimited. #### -# limit number of users per Org. -org_user = 10 - -# limit number of dashboards per Org. -org_dashboard = 100 - -# limit number of data_sources per Org. -org_data_source = 10 - -# limit number of api_keys per Org. -org_api_key = 10 - -# limit number of orgs a user can create. -user_org = 10 - -# Global limit of users. -global_user = -1 - -# global limit of orgs. -global_org = -1 - -# global limit of dashboards -global_dashboard = -1 - -# global limit of api_keys -global_api_key = -1 - -# global limit on number of logged in users. -global_session = -1 - -#################################### Alerting ############################ -[alerting] -# Disable alerting engine & UI features -enabled = true -# Makes it possible to turn off alert rule execution but alerting UI is visible -execute_alerts = true - -# Default setting for new alert rules. Defaults to categorize error and timeouts as alerting. (alerting, keep_state) -error_or_timeout = alerting - -# Default setting for how Grafana handles nodata or null values in alerting. (alerting, no_data, keep_state, ok) -nodata_or_nullvalues = no_data - -# Alert notifications can include images, but rendering many images at the same time can overload the server -# This limit will protect the server from render overloading and make sure notifications are sent out quickly -concurrent_render_limit = 5 - -#################################### Explore ############################# -[explore] -# Enable the Explore section -enabled = false - -#################################### Internal Grafana Metrics ############ -# Metrics available at HTTP API Url /metrics -[metrics] -enabled = true -interval_seconds = 10 - -# Send internal Grafana metrics to graphite -[metrics.graphite] -# Enable by setting the address setting (ex localhost:2003) -address = -prefix = prod.grafana.%(instance_name)s. - -[grafana_net] -url = https://grafana.com - -[grafana_com] -url = https://grafana.com - -#################################### Distributed tracing ############ -[tracing.jaeger] -# jaeger destination (ex localhost:6831) -address = -# tag that will always be included in when creating new spans. ex (tag1:value1,tag2:value2) -always_included_tag = -# Type specifies the type of the sampler: const, probabilistic, rateLimiting, or remote -sampler_type = const -# jaeger samplerconfig param -# for "const" sampler, 0 or 1 for always false/true respectively -# for "probabilistic" sampler, a probability between 0 and 1 -# for "rateLimiting" sampler, the number of spans per second -# for "remote" sampler, param is the same as for "probabilistic" -# and indicates the initial sampling rate before the actual one -# is received from the mothership -sampler_param = 1 - -#################################### External Image Storage ############## -[external_image_storage] -# You can choose between (s3, webdav, gcs, azure_blob, local) -provider = - -[external_image_storage.s3] -bucket_url = -bucket = -region = -path = -access_key = -secret_key = - -[external_image_storage.webdav] -url = -username = -password = -public_url = - -[external_image_storage.gcs] -key_file = -bucket = -path = - -[external_image_storage.azure_blob] -account_name = -account_key = -container_name = - -[external_image_storage.local] -# does not require any configuration - -[rendering] -# Options to configure external image rendering server like https://github.com/grafana/grafana-image-renderer -server_url = -callback_url = diff --git a/docker/tidb/config/grafana/provisioning/dashboards/dashboards.yaml b/docker/tidb/config/grafana/provisioning/dashboards/dashboards.yaml deleted file mode 100644 index e2aa179..0000000 --- a/docker/tidb/config/grafana/provisioning/dashboards/dashboards.yaml +++ /dev/null @@ -1,10 +0,0 @@ -# # config file version -apiVersion: 1 - -providers: -- name: 'default' - orgId: 1 - folder: '' - type: file - options: - path: /tmp/dashboards diff --git a/docker/tidb/config/grafana/provisioning/datasources/datasources.yaml b/docker/tidb/config/grafana/provisioning/datasources/datasources.yaml deleted file mode 100644 index 7092ca5..0000000 --- a/docker/tidb/config/grafana/provisioning/datasources/datasources.yaml +++ /dev/null @@ -1,53 +0,0 @@ -# # config file version -apiVersion: 1 - -# # list of datasources that should be deleted from the database -#deleteDatasources: -# - name: Graphite -# orgId: 1 - -# # list of datasources to insert/update depending -# # on what's available in the datbase -datasources: - # name of the datasource. Required -- name: tidb-cluster - # datasource type. Required - type: prometheus - # access mode. direct or proxy. Required - access: proxy -# # org id. will default to orgId 1 if not specified -# orgId: 1 - # url - url: http://prometheus:9090 -# # database password, if used -# password: -# # database user, if used -# user: -# # database name, if used -# database: - # enable/disable basic auth - basicAuth: false -# # basic auth username -# basicAuthUser: -# # basic auth password -# basicAuthPassword: -# # enable/disable with credentials headers -# withCredentials: -# # mark as default datasource. Max one per org -# isDefault: -# # fields that will be converted to json and stored in json_data -# jsonData: -# graphiteVersion: "1.1" -# tlsAuth: true -# tlsAuthWithCACert: true -# httpHeaderName1: "Authorization" -# # json object of data that will be encrypted. -# secureJsonData: -# tlsCACert: "..." -# tlsClientCert: "..." -# tlsClientKey: "..." -# # -# httpHeaderValue1: "Bearer xf5yhfkpsnmgo" -# version: 1 -# # allow users to edit datasources from the UI. -# editable: false diff --git a/docker/tidb/config/overview-dashboard.json b/docker/tidb/config/overview-dashboard.json deleted file mode 100644 index 6d54dfd..0000000 --- a/docker/tidb/config/overview-dashboard.json +++ /dev/null @@ -1,4892 +0,0 @@ -{ - "__inputs": [ - { - "name": "DS_TEST-CLUSTER", - "label": "test-cluster", - "description": "", - "type": "datasource", - "pluginId": "prometheus", - "pluginName": "Prometheus" - } - ], - "__requires": [ - { - "type": "grafana", - "id": "grafana", - "name": "Grafana", - "version": "4.6.3" - }, - { - "type": "panel", - "id": "graph", - "name": "Graph", - "version": "" - }, - { - "type": "datasource", - "id": "prometheus", - "name": "Prometheus", - "version": "1.0.0" - }, - { - "type": "panel", - "id": "singlestat", - "name": "Singlestat", - "version": "" - }, - { - "type": "panel", - "id": "table", - "name": "Table", - "version": "" - } - ], - "annotations": { - "list": [ - { - "builtIn": 1, - "datasource": "${DS_TEST-CLUSTER}", - "enable": true, - "hide": true, - "iconColor": "rgba(0, 211, 255, 1)", - "name": "Annotations & Alerts", - "type": "dashboard" - } - ] - }, - "editable": true, - "gnetId": null, - "graphTooltip": 0, - "hideControls": false, - "id": null, - "links": [ - { - "icon": "doc", - "includeVars": true, - "keepTime": true, - "tags": [], - "targetBlank": true, - "title": "Report", - "tooltip": "Open a pdf report for the current dashboard", - "type": "link", - "url": "http://172.16.10.71:8686/api/report/test-cluster-overview?apitoken=eyJrIjoiWTlFZ0M0REpKbFY3aFRvOVNJZEh6cWNJaTkxY3NLdTYiLCJuIjoiZ3JhZmFuYV9hcGlrZXkiLCJpZCI6MX0=" - } - ], - "refresh": "1m", - "rows": [ - { - "collapse": false, - "height": 310, - "panels": [ - { - "columns": [ - { - "text": "Current", - "value": "current" - } - ], - "datasource": "${DS_TEST-CLUSTER}", - "fontSize": "100%", - "hideTimeOverride": true, - "id": 76, - "links": [], - "pageSize": null, - "scroll": true, - "showHeader": true, - "sort": { - "col": null, - "desc": false - }, - "span": 6, - "styles": [ - { - "alias": "Time", - "dateFormat": "YYYY-MM-DD HH:mm:ss", - "pattern": "Time", - "type": "date" - }, - { - "alias": "Service", - "colorMode": null, - "colors": [ - "rgba(245, 54, 54, 0.9)", - "rgba(237, 129, 40, 0.89)", - "rgba(50, 172, 45, 0.97)" - ], - "dateFormat": "YYYY-MM-DD HH:mm:ss", - "decimals": 2, - "pattern": "Metric", - "thresholds": [], - "type": "string", - "unit": "short" - }, - { - "alias": "Up", - "colorMode": "cell", - "colors": [ - "rgba(245, 54, 54, 0.9)", - "rgba(237, 129, 40, 0.89)", - "rgba(50, 172, 45, 0.97)" - ], - "dateFormat": "YYYY-MM-DD HH:mm:ss", - "decimals": 0, - "pattern": "Current", - "thresholds": [ - "0", - "1" - ], - "type": "number", - "unit": "short" - }, - { - "alias": "", - "colorMode": null, - "colors": [ - "rgba(245, 54, 54, 0.9)", - "rgba(237, 129, 40, 0.89)", - "rgba(50, 172, 45, 0.97)" - ], - "decimals": 2, - "pattern": "/.*/", - "thresholds": [], - "type": "number", - "unit": "short" - } - ], - "targets": [ - { - "expr": "\ncount(probe_success{group=\"tidb\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "TiDB", - "refId": "A" - }, - { - "expr": "\ncount(probe_success{group=\"pd\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "PD", - "refId": "B" - }, - { - "expr": "\ncount(probe_success{group=\"tikv\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "TiKV", - "refId": "C" - }, - { - "expr": "\ncount(probe_success{group=\"pump\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Pump", - "refId": "D" - }, - { - "expr": "\ncount(probe_success{group=\"drainer\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Drainer", - "refId": "E" - }, - { - "expr": "\ncount(probe_success{group=\"kafka\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Kafka", - "refId": "F" - }, - { - "expr": "\ncount(probe_success{group=\"zookeeper\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Zookeeper", - "refId": "G" - }, - { - "expr": "\ncount(probe_success{group=\"node_exporter\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Node_exporter", - "refId": "H" - }, - { - "expr": "\ncount(probe_success{group=\"blackbox_exporter\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Blackbox_exporter", - "refId": "I" - }, - { - "expr": "\ncount(probe_success{group=\"grafana\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Grafana", - "refId": "J" - }, - { - "expr": "\ncount(probe_success{job=\"blackbox_exporter_http\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Pushgateway", - "refId": "K" - }, - { - "expr": "\ncount(probe_success{group=\"kafka_exporter\"} == 1)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "Kafka_exporter", - "refId": "L" - } - ], - "timeFrom": "1s", - "title": "", - "transform": "timeseries_aggregations", - "type": "table" - }, - { - "columns": [ - { - "text": "Current", - "value": "current" - } - ], - "datasource": "${DS_TEST-CLUSTER}", - "fontSize": "100%", - "hideTimeOverride": true, - "id": 77, - "links": [], - "pageSize": null, - "scroll": true, - "showHeader": true, - "sort": { - "col": null, - "desc": false - }, - "span": 6, - "styles": [ - { - "alias": "Time", - "dateFormat": "YYYY-MM-DD HH:mm:ss", - "pattern": "Time", - "type": "date" - }, - { - "alias": "Service", - "colorMode": null, - "colors": [ - "rgba(245, 54, 54, 0.9)", - "rgba(237, 129, 40, 0.89)", - "rgba(50, 172, 45, 0.97)" - ], - "dateFormat": "YYYY-MM-DD HH:mm:ss", - "decimals": 2, - "pattern": "Metric", - "thresholds": [], - "type": "string", - "unit": "short" - }, - { - "alias": "Down", - "colorMode": "cell", - "colors": [ - "rgba(245, 54, 54, 0.9)", - "rgba(237, 129, 40, 0.89)", - "rgba(50, 172, 45, 0.97)" - ], - "dateFormat": "YYYY-MM-DD HH:mm:ss", - "decimals": 0, - "pattern": "Current", - "thresholds": [ - "100", - "200" - ], - "type": "number", - "unit": "short" - }, - { - "alias": "", - "colorMode": null, - "colors": [ - "rgba(245, 54, 54, 0.9)", - "rgba(237, 129, 40, 0.89)", - "rgba(50, 172, 45, 0.97)" - ], - "decimals": 2, - "pattern": "/.*/", - "thresholds": [], - "type": "number", - "unit": "short" - } - ], - "targets": [ - { - "expr": "\ncount(probe_success{group=\"tidb\"} == 0)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "TiDB", - "refId": "A" - }, - { - "expr": "\ncount(probe_success{group=\"pd\"} == 0)", - "format": "time_series", - "intervalFactor": 2, - 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"max": true, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "histogram_quantile(0.99, sum(rate(pd_scheduler_region_heartbeat_latency_seconds_bucket[5m])) by (store, le))", - "format": "time_series", - "hide": false, - "intervalFactor": 2, - "legendFormat": "store{{store}}", - "refId": "A", - "step": 4 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "99% region heartbeat latency", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "ms", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "ms", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "Heartbeat", - "titleSize": "h4" - } - ], - "schemaVersion": 14, - "style": "dark", - "tags": [], - "templating": { - "list": [ - { - "allValue": null, - "current": {}, - "datasource": "${DS_TEST-CLUSTER}", - "hide": 0, - "includeAll": false, - "label": null, - "multi": false, - "name": "instance", - "options": [], - "query": "label_values(pd_cluster_status, instance)", - "refresh": 1, - "regex": "", - "sort": 0, - "tagValuesQuery": null, - "tags": [], - "tagsQuery": null, - "type": "query", - "useTags": false - }, - { - "allValue": ".*", - "current": {}, - "datasource": "${DS_TEST-CLUSTER}", - "hide": 0, - "includeAll": true, - "label": "Namespace", - "multi": false, - "name": "namespace", - "options": [], - "query": "label_values(pd_cluster_status{instance=\"$instance\"}, namespace)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - } - ] - }, - "time": { - "from": "now-1h", - "to": "now" - }, - "timepicker": { - "refresh_intervals": [ - "5s", - "10s", - "30s", - "1m", - "5m", - "15m", - "30m", - "1h", - "2h", - "1d" - ], - "time_options": [ - "5m", - "15m", - "1h", - "6h", - "12h", - "24h", - "2d", - "7d", - "30d" - ] - }, - "timezone": "browser", - "title": "Test-Cluster-PD", - "version": 55 -} diff --git a/docker/tidb/config/pd-nightly-tiflash.toml b/docker/tidb/config/pd-nightly-tiflash.toml deleted file mode 100644 index 4061e60..0000000 --- a/docker/tidb/config/pd-nightly-tiflash.toml +++ /dev/null @@ -1,3 +0,0 @@ -[replication] -enable-placement-rules = true -max-replicas = 1 diff --git a/docker/tidb/config/pd.rules.yml b/docker/tidb/config/pd.rules.yml deleted file mode 100644 index ddb94aa..0000000 --- a/docker/tidb/config/pd.rules.yml +++ /dev/null @@ -1,146 +0,0 @@ -groups: -- name: alert.rules - rules: - - alert: PD_cluster_offline_tikv_nums - expr: sum ( pd_cluster_status{type="store_down_count"} ) > 0 - for: 1m - labels: - env: test-cluster - level: emergency - expr: sum ( pd_cluster_status{type="store_down_count"} ) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_cluster_offline_tikv_nums - - - alert: PD_etcd_write_disk_latency - expr: histogram_quantile(0.99, sum(rate(etcd_disk_wal_fsync_duration_seconds_bucket[1m])) by (instance,job,le) ) > 1 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(etcd_disk_wal_fsync_duration_seconds_bucket[1m])) by (instance,job,le) ) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_etcd_write_disk_latency - - - alert: PD_miss_peer_region_count - expr: sum( pd_regions_status{type="miss_peer_region_count"} ) > 100 - for: 1m - labels: - env: test-cluster - level: critical - expr: sum( pd_regions_status{type="miss_peer_region_count"} ) > 100 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_miss_peer_region_count - - - alert: PD_cluster_lost_connect_tikv_nums - expr: sum ( pd_cluster_status{type="store_disconnected_count"} ) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum ( pd_cluster_status{type="store_disconnected_count"} ) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_cluster_lost_connect_tikv_nums - - - alert: PD_cluster_low_space - expr: sum ( pd_cluster_status{type="store_low_space_count"} ) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum ( pd_cluster_status{type="store_low_space_count"} ) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_cluster_low_space - - - alert: PD_etcd_network_peer_latency - expr: histogram_quantile(0.99, sum(rate(etcd_network_peer_round_trip_time_seconds_bucket[1m])) by (To,instance,job,le) ) > 1 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.99, sum(rate(etcd_network_peer_round_trip_time_seconds_bucket[1m])) by (To,instance,job,le) ) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_etcd_network_peer_latency - - - alert: PD_tidb_handle_requests_duration - expr: histogram_quantile(0.99, sum(rate(pd_client_request_handle_requests_duration_seconds_bucket{type="tso"}[1m])) by (instance,job,le) ) > 0.1 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.99, sum(rate(pd_client_request_handle_requests_duration_seconds_bucket{type="tso"}[1m])) by (instance,job,le) ) > 0.1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_tidb_handle_requests_duration - - - alert: PD_down_peer_region_nums - expr: sum ( pd_regions_status{type="down_peer_region_count"} ) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum ( pd_regions_status{type="down_peer_region_count"} ) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_down_peer_region_nums - - - alert: PD_incorrect_namespace_region_count - expr: sum ( pd_regions_status{type="incorrect_namespace_region_count"} ) > 100 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum ( pd_regions_status{type="incorrect_namespace_region_count"} ) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_incorrect_namespace_region_count - - - alert: PD_pending_peer_region_count - expr: sum( pd_regions_status{type="pending_peer_region_count"} ) > 100 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum( pd_regions_status{type="pending_peer_region_count"} ) > 100 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_pending_peer_region_count - - - alert: PD_leader_change - expr: count( changes(pd_server_tso{type="save"}[10m]) > 0 ) >= 2 - for: 1m - labels: - env: test-cluster - level: warning - expr: count( changes(pd_server_tso{type="save"}[10m]) > 0 ) >= 2 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: PD_leader_change - - - alert: TiKV_space_used_more_than_80% - expr: sum(pd_cluster_status{type="storage_size"}) / sum(pd_cluster_status{type="storage_capacity"}) * 100 > 80 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum(pd_cluster_status{type="storage_size"}) / sum(pd_cluster_status{type="storage_capacity"}) * 100 > 80 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV_space_used_more_than_80% diff --git a/docker/tidb/config/pd.toml b/docker/tidb/config/pd.toml deleted file mode 100644 index b1562a5..0000000 --- a/docker/tidb/config/pd.toml +++ /dev/null @@ -1,86 +0,0 @@ -# PD Configuration. - -name = "pd" -data-dir = "default.pd" - -client-urls = "http://127.0.0.1:2379" -# if not set, use ${client-urls} -advertise-client-urls = "" - -peer-urls = "http://127.0.0.1:2380" -# if not set, use ${peer-urls} -advertise-peer-urls = "" - -initial-cluster = "pd=http://127.0.0.1:2380" -initial-cluster-state = "new" - -lease = 3 -tso-save-interval = "3s" - -[security] -# Path of file that contains list of trusted SSL CAs. if set, following four settings shouldn't be empty -cacert-path = "" -# Path of file that contains X509 certificate in PEM format. -cert-path = "" -# Path of file that contains X509 key in PEM format. -key-path = "" - -[log] -level = "error" - -# log format, one of json, text, console -#format = "text" - -# disable automatic timestamps in output -#disable-timestamp = false - -# file logging -[log.file] -#filename = "" -# max log file size in MB -#max-size = 300 -# max log file keep days -#max-days = 28 -# maximum number of old log files to retain -#max-backups = 7 -# rotate log by day -#log-rotate = true - -[metric] -# prometheus client push interval, set "0s" to disable prometheus. -interval = "15s" -# prometheus pushgateway address, leaves it empty will disable prometheus. -address = "pushgateway:9091" - -[schedule] -max-merge-region-size = 0 -split-merge-interval = "1h" -max-snapshot-count = 3 -max-pending-peer-count = 16 -max-store-down-time = "30m" -leader-schedule-limit = 4 -region-schedule-limit = 4 -replica-schedule-limit = 8 -merge-schedule-limit = 8 -tolerant-size-ratio = 5.0 - -# customized schedulers, the format is as below -# if empty, it will use balance-leader, balance-region, hot-region as default -# [[schedule.schedulers]] -# type = "evict-leader" -# args = ["1"] - -[replication] -# The number of replicas for each region. -max-replicas = 3 -# The label keys specified the location of a store. -# The placement priorities is implied by the order of label keys. -# For example, ["zone", "rack"] means that we should place replicas to -# different zones first, then to different racks if we don't have enough zones. -location-labels = [] - -[label-property] -# Do not assign region leaders to stores that have these tags. -# [[label-property.reject-leader]] -# key = "zone" -# value = "cn1 diff --git a/docker/tidb/config/prometheus.yml b/docker/tidb/config/prometheus.yml deleted file mode 100644 index c6eaf2e..0000000 --- a/docker/tidb/config/prometheus.yml +++ /dev/null @@ -1,15 +0,0 @@ -global: - scrape_interval: 15s - evaluation_interval: 15s -scrape_configs: - - job_name: 'tidb-cluster' - scrape_interval: 5s - honor_labels: true - static_configs: - - targets: ['pushgateway:9091'] - labels: - cluster: 'tidb-cluster' -rule_files: - - 'pd.rules.yml' - - 'tikv.rules.yml' - - 'tidb.rules.yml' diff --git a/docker/tidb/config/pump.toml b/docker/tidb/config/pump.toml deleted file mode 100644 index 7858b52..0000000 --- a/docker/tidb/config/pump.toml +++ /dev/null @@ -1,45 +0,0 @@ -# pump Configuration. - - # addr(i.e. 'host:port') to listen on for client traffic -addr = "127.0.0.1:8250" - - # addr(i.e. 'host:port') to advertise to the public -advertise-addr = "" - - # a integer value to control expiry date of the binlog data, indicates for how long (in days) the binlog data would be stored. -# must bigger than 0 -gc = 7 - - # path to the data directory of pump's data -data-dir = "data.pump" - - # number of seconds between heartbeat ticks (in 2 seconds) -heartbeat-interval = 2 - - # a comma separated list of PD endpoints -pd-urls = "http://127.0.0.1:2379" - - #[security] -# Path of file that contains list of trusted SSL CAs for connection with cluster components. -# ssl-ca = "/path/to/ca.pem" -# Path of file that contains X509 certificate in PEM format for connection with cluster components. -# ssl-cert = "/path/to/drainer.pem" -# Path of file that contains X509 key in PEM format for connection with cluster components. -# ssl-key = "/path/to/drainer-key.pem" -# -# [storage] -# Set to `true` (default) for best reliability, which prevents data loss when there is a power failure. -# sync-log = true -# -# we suggest using the default config of the embedded LSM DB now, do not change it useless you know what you are doing -# [storage.kv] -# block-cache-capacity = 8388608 -# block-restart-interval = 16 -# block-size = 4096 -# compaction-L0-trigger = 8 -# compaction-table-size = 67108864 -# compaction-total-size = 536870912 -# compaction-total-size-multiplier = 8.0 -# write-buffer = 67108864 -# write-L0-pause-trigger = 24 -# write-L0-slowdown-trigger = 17 diff --git a/docker/tidb/config/spark-defaults.conf b/docker/tidb/config/spark-defaults.conf deleted file mode 100644 index 76467a5..0000000 --- a/docker/tidb/config/spark-defaults.conf +++ /dev/null @@ -1,2 +0,0 @@ -spark.tispark.pd.addresses pd0:2379 -spark.sql.extensions org.apache.spark.sql.TiExtensions diff --git a/docker/tidb/config/tidb-dashboard.json b/docker/tidb/config/tidb-dashboard.json deleted file mode 100644 index 0266d8a..0000000 --- a/docker/tidb/config/tidb-dashboard.json +++ /dev/null @@ -1,6928 +0,0 @@ -{ - "__inputs": [ - { - "name": "DS_TEST-CLUSTER", - "label": "test-cluster", - "description": "", - "type": "datasource", - "pluginId": "prometheus", - "pluginName": "Prometheus" - } - ], - "__requires": [ - { - "type": "grafana", - "id": "grafana", - "name": "Grafana", - "version": "4.6.3" - }, - { - "type": "panel", - "id": "graph", - "name": "Graph", - "version": "" - }, - { - "type": "datasource", - "id": "prometheus", - "name": "Prometheus", - "version": "1.0.0" - } - ], - "annotations": { - "list": [ - { - "builtIn": 1, - "datasource": "${DS_TEST-CLUSTER}", - "enable": true, - "hide": true, - "iconColor": "rgba(0, 211, 255, 1)", - "name": "Annotations & Alerts", - "type": "dashboard" - } - ] - }, - "editable": true, - "gnetId": null, - "graphTooltip": 0, - "hideControls": false, - "id": null, - "links": [ - { - "icon": "doc", - "includeVars": true, - "keepTime": true, - "tags": [], - "targetBlank": true, - "title": "Report", - "tooltip": "Open a pdf report for the current dashboard", - 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"title": "Meta Operations Duration 99", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "Meta", - "titleSize": "h6" - }, - { - "collapse": true, - "height": 250, - "panels": [ - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "fill": 1, - "id": 85, - "legend": { - "alignAsTable": true, - "avg": false, - "current": false, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(increase(tidb_tikvclient_gc_worker_actions_total[1m])) by (type)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{type}}", - "refId": "A" - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Worker Action OPM", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - 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"timeShift": null, - "title": "Config", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "fill": 1, - "id": 88, - "legend": { - "avg": false, - "current": false, - "max": false, - "min": false, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(increase(tidb_tikvclient_gc_failure[1m]))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "", - "refId": "A" - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "GC Failure OPM", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "fill": 1, - "id": 89, - "legend": { - "avg": false, - "current": false, - "max": false, - "min": false, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(increase(tidb_tikvclient_gc_action_result[1m])) by (type)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{type}}", - "refId": "A" - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Action Result OPM", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "fill": 1, - "id": 90, - "legend": { - "avg": false, - "current": false, - "max": false, - "min": false, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(increase(tidb_tikvclient_gc_region_too_many_locks[1m]))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "", - "refId": "A" - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Too Many Locks Error OPM", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "GC", - "titleSize": "h6" - } - ], - "schemaVersion": 14, - "style": "dark", - "tags": [], - "templating": { - "list": [] - }, - "time": { - "from": "now-1h", - "to": "now" - }, - "timepicker": { - "refresh_intervals": [ - "5s", - "10s", - "30s", - "1m", - "5m", - "15m", - "30m", - "1h", - "2h", - "1d" - ], - "time_options": [ - "5m", - "15m", - "1h", - "6h", - "12h", - "24h", - "2d", - "7d", - "30d" - ] - }, - "timezone": "browser", - "title": "Test-Cluster-TiDB", - "version": 5 -} diff --git a/docker/tidb/config/tidb.rules.yml b/docker/tidb/config/tidb.rules.yml deleted file mode 100644 index 39e19a3..0000000 --- a/docker/tidb/config/tidb.rules.yml +++ /dev/null @@ -1,134 +0,0 @@ -groups: -- name: alert.rules - rules: - - alert: TiDB_schema_error - expr: increase(tidb_session_schema_lease_error_total{type="outdated"}[15m]) > 0 - for: 1m - labels: - env: test-cluster - level: emergency - expr: increase(tidb_session_schema_lease_error_total{type="outdated"}[15m]) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB schema error - - - alert: TiDB_tikvclient_region_err_total - expr: increase( tidb_tikvclient_region_err_total[10m] ) > 6000 - for: 1m - labels: - env: test-cluster - level: emergency - expr: increase( tidb_tikvclient_region_err_total[10m] ) > 6000 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB tikvclient_backoff_count error - - - alert: TiDB_domain_load_schema_total - expr: increase( tidb_domain_load_schema_total{type="failed"}[10m] ) > 10 - for: 1m - labels: - env: test-cluster - level: emergency - expr: increase( tidb_domain_load_schema_total{type="failed"}[10m] ) > 10 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB domain_load_schema_total error - - - alert: TiDB_monitor_keep_alive - expr: increase(tidb_monitor_keep_alive_total{job="tidb"}[10m]) < 100 - for: 1m - labels: - env: test-cluster - level: emergency - expr: increase(tidb_monitor_keep_alive_total{job="tidb"}[10m]) < 100 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB monitor_keep_alive error - - - alert: TiDB_server_panic_total - expr: increase(tidb_server_panic_total[10m]) > 0 - for: 1m - labels: - env: test-cluster - level: critical - expr: increase(tidb_server_panic_total[10m]) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB server panic total - - - alert: TiDB_memory_abnormal - expr: go_memstats_heap_inuse_bytes{job="tidb"} > 1e+10 - for: 1m - labels: - env: test-cluster - level: warning - expr: go_memstats_heap_inuse_bytes{job="tidb"} > 1e+10 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB heap memory usage is over 10 GB - - - alert: TiDB_query_duration - expr: histogram_quantile(0.99, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) BY (le, instance)) > 1 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.99, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) BY (le, instance)) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB query duration 99th percentile is above 1s - - - alert: TiDB_server_event_error - expr: increase(tidb_server_server_event{type=~"server_start|server_hang"}[15m]) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: increase(tidb_server_server_event{type=~"server_start|server_hang"}[15m]) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB server event error - - - alert: TiDB_tikvclient_backoff_count - expr: increase( tidb_tikvclient_backoff_count[10m] ) > 10 - for: 1m - labels: - env: test-cluster - level: warning - expr: increase( tidb_tikvclient_backoff_count[10m] ) > 10 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB tikvclient_backoff_count error - - - alert: TiDB_monitor_time_jump_back_error - expr: increase(tidb_monitor_time_jump_back_total[10m]) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: increase(tidb_monitor_time_jump_back_total[10m]) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB monitor time_jump_back error - - - alert: TiDB_ddl_waiting_jobs - expr: sum(tidb_ddl_waiting_jobs) > 5 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum(tidb_ddl_waiting_jobs) > 5 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiDB ddl waiting_jobs too much diff --git a/docker/tidb/config/tidb.toml b/docker/tidb/config/tidb.toml deleted file mode 100644 index 9f881b4..0000000 --- a/docker/tidb/config/tidb.toml +++ /dev/null @@ -1,239 +0,0 @@ -# TiDB Configuration. - -# TiDB server host. -host = "0.0.0.0" - -# TiDB server port. -port = 4000 - -# Registered store name, [tikv, mocktikv] -store = "mocktikv" - -# TiDB storage path. -path = "/tmp/tidb" - -# The socket file to use for connection. -socket = "" - -# Run ddl worker on this tidb-server. -run-ddl = true - -# Schema lease duration, very dangerous to change only if you know what you do. -lease = "0" - -# When create table, split a separated region for it. It is recommended to -# turn off this option if there will be a large number of tables created. -split-table = true - -# The limit of concurrent executed sessions. -token-limit = 1000 - -# Only print a log when out of memory quota. -# Valid options: ["log", "cancel"] -oom-action = "log" - -# Set the memory quota for a query in bytes. Default: 32GB -mem-quota-query = 34359738368 - -# Enable coprocessor streaming. -enable-streaming = false - -# Set system variable 'lower_case_table_names' -lower-case-table-names = 2 - -[log] -# Log level: debug, info, warn, error, fatal. -level = "error" - -# Log format, one of json, text, console. -format = "text" - -# Disable automatic timestamp in output -disable-timestamp = false - -# Stores slow query log into separated files. -slow-query-file = "" - -# Queries with execution time greater than this value will be logged. (Milliseconds) -slow-threshold = 300 - -# Queries with internal result greater than this value will be logged. -expensive-threshold = 10000 - -# Maximum query length recorded in log. -query-log-max-len = 2048 - -# File logging. -[log.file] -# Log file name. -filename = "" - -# Max log file size in MB (upper limit to 4096MB). -max-size = 300 - -# Max log file keep days. No clean up by default. -max-days = 0 - -# Maximum number of old log files to retain. No clean up by default. -max-backups = 0 - -# Rotate log by day -log-rotate = true - -[security] -# Path of file that contains list of trusted SSL CAs for connection with mysql client. -ssl-ca = "" - -# Path of file that contains X509 certificate in PEM format for connection with mysql client. -ssl-cert = "" - -# Path of file that contains X509 key in PEM format for connection with mysql client. -ssl-key = "" - -# Path of file that contains list of trusted SSL CAs for connection with cluster components. -cluster-ssl-ca = "" - -# Path of file that contains X509 certificate in PEM format for connection with cluster components. -cluster-ssl-cert = "" - -# Path of file that contains X509 key in PEM format for connection with cluster components. -cluster-ssl-key = "" - -[status] -# If enable status report HTTP service. -report-status = true - -# TiDB status port. -status-port = 10080 - -# Prometheus pushgateway address, leaves it empty will disable prometheus push. -metrics-addr = "pushgateway:9091" - -# Prometheus client push interval in second, set \"0\" to disable prometheus push. -metrics-interval = 15 - -[performance] -# Max CPUs to use, 0 use number of CPUs in the machine. -max-procs = 0 -# StmtCountLimit limits the max count of statement inside a transaction. -stmt-count-limit = 5000 - -# Set keep alive option for tcp connection. -tcp-keep-alive = true - -# The maximum number of retries when commit a transaction. -retry-limit = 10 - -# Whether support cartesian product. -cross-join = true - -# Stats lease duration, which influences the time of analyze and stats load. -stats-lease = "3s" - -# Run auto analyze worker on this tidb-server. -run-auto-analyze = true - -# Probability to use the query feedback to update stats, 0 or 1 for always false/true. -feedback-probability = 0.0 - -# The max number of query feedback that cache in memory. -query-feedback-limit = 1024 - -# Pseudo stats will be used if the ratio between the modify count and -# row count in statistics of a table is greater than it. -pseudo-estimate-ratio = 0.7 - -[proxy-protocol] -# PROXY protocol acceptable client networks. -# Empty string means disable PROXY protocol, * means all networks. -networks = "" - -# PROXY protocol header read timeout, unit is second -header-timeout = 5 - -[plan-cache] -enabled = false -capacity = 2560 -shards = 256 - -[prepared-plan-cache] -enabled = false -capacity = 100 - -[opentracing] -# Enable opentracing. -enable = false - -# Whether to enable the rpc metrics. -rpc-metrics = false - -[opentracing.sampler] -# Type specifies the type of the sampler: const, probabilistic, rateLimiting, or remote -type = "const" - -# Param is a value passed to the sampler. -# Valid values for Param field are: -# - for "const" sampler, 0 or 1 for always false/true respectively -# - for "probabilistic" sampler, a probability between 0 and 1 -# - for "rateLimiting" sampler, the number of spans per second -# - for "remote" sampler, param is the same as for "probabilistic" -# and indicates the initial sampling rate before the actual one -# is received from the mothership -param = 1.0 - -# SamplingServerURL is the address of jaeger-agent's HTTP sampling server -sampling-server-url = "" - -# MaxOperations is the maximum number of operations that the sampler -# will keep track of. If an operation is not tracked, a default probabilistic -# sampler will be used rather than the per operation specific sampler. -max-operations = 0 - -# SamplingRefreshInterval controls how often the remotely controlled sampler will poll -# jaeger-agent for the appropriate sampling strategy. -sampling-refresh-interval = 0 - -[opentracing.reporter] -# QueueSize controls how many spans the reporter can keep in memory before it starts dropping -# new spans. The queue is continuously drained by a background go-routine, as fast as spans -# can be sent out of process. -queue-size = 0 - -# BufferFlushInterval controls how often the buffer is force-flushed, even if it's not full. -# It is generally not useful, as it only matters for very low traffic services. -buffer-flush-interval = 0 - -# LogSpans, when true, enables LoggingReporter that runs in parallel with the main reporter -# and logs all submitted spans. Main Configuration.Logger must be initialized in the code -# for this option to have any effect. -log-spans = false - -# LocalAgentHostPort instructs reporter to send spans to jaeger-agent at this address -local-agent-host-port = "" - -[tikv-client] -# Max gRPC connections that will be established with each tikv-server. -grpc-connection-count = 16 - -# After a duration of this time in seconds if the client doesn't see any activity it pings -# the server to see if the transport is still alive. -grpc-keepalive-time = 10 - -# After having pinged for keepalive check, the client waits for a duration of Timeout in seconds -# and if no activity is seen even after that the connection is closed. -grpc-keepalive-timeout = 3 - -# max time for commit command, must be twice bigger than raft election timeout. -commit-timeout = "41s" - -[binlog] - -# Socket file to write binlog. -binlog-socket = "" - -# WriteTimeout specifies how long it will wait for writing binlog to pump. -write-timeout = "15s" - -# If IgnoreError is true, when writting binlog meets error, TiDB would stop writting binlog, -# but still provide service. -ignore-error = false diff --git a/docker/tidb/config/tiflash-learner-nightly.toml b/docker/tidb/config/tiflash-learner-nightly.toml deleted file mode 100644 index bb9cfa9..0000000 --- a/docker/tidb/config/tiflash-learner-nightly.toml +++ /dev/null @@ -1,45 +0,0 @@ -log-file = "/logs/tiflash_tikv.log" - -[readpool] - -[readpool.coprocessor] - -[readpool.storage] - -[server] -engine-addr = "tiflash:4030" -addr = "0.0.0.0:20280" -advertise-addr = "tiflash:20280" -#status-addr = "tiflash:20292" - -[storage] -data-dir = "/data/flash" - -[pd] - -[metric] - -[raftstore] -capacity = "10GB" - -[coprocessor] - -[rocksdb] -wal-dir = "" - -[rocksdb.defaultcf] - -[rocksdb.lockcf] - -[rocksdb.writecf] - -[raftdb] - -[raftdb.defaultcf] - -[security] -ca-path = "" -cert-path = "" -key-path = "" - -[import] diff --git a/docker/tidb/config/tiflash-nightly.toml b/docker/tidb/config/tiflash-nightly.toml deleted file mode 100644 index 2d87f12..0000000 --- a/docker/tidb/config/tiflash-nightly.toml +++ /dev/null @@ -1,79 +0,0 @@ -default_profile = "default" -display_name = "TiFlash" -listen_host = "0.0.0.0" -mark_cache_size = 5368709120 -tmp_path = "/data/tmp" -path = "/data" -tcp_port = 9110 -http_port = 8223 - -[flash] -tidb_status_addr = "tidb:10080" -service_addr = "tiflash:4030" - -[flash.flash_cluster] -cluster_manager_path = "/tiflash/flash_cluster_manager" -log = "/logs/tiflash_cluster_manager.log" -master_ttl = 60 -refresh_interval = 20 -update_rule_interval = 5 - -[flash.proxy] -config = "/tiflash-learner.toml" - -[status] -metrics_port = 8234 - -[logger] -errorlog = "/logs/tiflash_error.log" -log = "/logs/tiflash.log" -count = 20 -level = "debug" -size = "1000M" - -[application] -runAsDaemon = true - -[raft] -pd_addr = "pd0:2379" -storage_engine = "tmt" - -[quotas] - -[quotas.default] - -[quotas.default.interval] -duration = 3600 -errors = 0 -execution_time = 0 -queries = 0 -read_rows = 0 -result_rows = 0 - -[users] - -[users.default] -password = "" -profile = "default" -quota = "default" - -[users.default.networks] -ip = "::/0" - -[users.readonly] -password = "" -profile = "readonly" -quota = "default" - -[users.readonly.networks] -ip = "::/0" - -[profiles] - -[profiles.default] -load_balancing = "random" -max_memory_usage = 10000000000 -use_uncompressed_cache = 0 - -[profiles.readonly] -readonly = 1 diff --git a/docker/tidb/config/tikv-dashboard.json b/docker/tidb/config/tikv-dashboard.json deleted file mode 100644 index 0d8599e..0000000 --- a/docker/tidb/config/tikv-dashboard.json +++ /dev/null @@ -1,14099 +0,0 @@ -{ - "__inputs": [ - { - "name": "DS_TEST-CLUSTER", - "label": "test-cluster", - "description": "", - "type": "datasource", - "pluginId": "prometheus", - "pluginName": "Prometheus" - } - ], - "__requires": [ - { - "type": "grafana", - "id": "grafana", - "name": "Grafana", - "version": "4.6.3" - }, - { - "type": "panel", - "id": "graph", - "name": "Graph", - "version": "" - }, - { - "type": "datasource", - "id": "prometheus", - "name": "Prometheus", - "version": "1.0.0" - }, - { - "type": "panel", - "id": "singlestat", - "name": "Singlestat", - "version": "" - } - ], - "annotations": { - "list": [ - { - "builtIn": 1, - "datasource": "${DS_TEST-CLUSTER}", - "enable": true, - "hide": true, - "iconColor": "rgba(0, 211, 255, 1)", - "name": "Annotations & Alerts", - "type": "dashboard" - } - ] - }, - "editable": true, - "gnetId": null, - "graphTooltip": 0, - "hideControls": false, - "id": null, - "links": [ - { - "icon": "doc", - "includeVars": true, - "keepTime": true, - "tags": [], - "targetBlank": true, - "title": "Report", - "tooltip": "Open a pdf report for the current dashboard", - "type": "link", - "url": "http://172.16.10.49:8686/api/report/test-cluster-tikv?apitoken=eyJrIjoiQkU2bmFQdjZMeTRmWVJ3UFo0bmV3Ym5zRG04Y2hmMHYiLCJuIjoiZ3JhZmFuYV9hcGlrZXkiLCJpZCI6MX0=" - } - ], - "refresh": "1m", - "rows": [ - { - "collapse": true, - "height": "300", - "panels": [ - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": 1, - "editable": true, - "error": false, - "fill": 5, - "grid": {}, - "id": 56, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": null, - "sort": "current", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 0, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": true, - "steppedLine": false, - "targets": [ - { - "expr": "sum(tikv_engine_size_bytes) by (job)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{job}}", - "refId": "A", - "step": 10 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "store size", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "decbytes", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": 1, - "editable": true, - "error": false, - "fill": 5, - "grid": {}, - "id": 1706, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": null, - "sort": "current", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 0, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": true, - "steppedLine": false, - "targets": [ - { - "expr": "sum(tikv_store_size_bytes{type=\"available\"}) by (job)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{job}}", - "refId": "A", - "step": 10 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "available size", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "decbytes", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": 1, - "editable": true, - "error": false, - "fill": 5, - "grid": {}, - "id": 1707, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": null, - "sort": "current", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 0, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 4, - "stack": true, - "steppedLine": false, - "targets": [ - { - "expr": "sum(tikv_store_size_bytes{type=\"capacity\"}) by (job)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{job}}", - "refId": "A", - "step": 10 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "capacity size", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "decbytes", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": 1, - "editable": true, - "error": false, - "fill": 0, - "grid": {}, - "id": 1708, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": 250, - "sort": "max", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(rate(tikv_thread_cpu_seconds_total[1m])) by (instance,job)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{instance}}-{{job}}", - "refId": "A", - "step": 10 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "cpu", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "percentunit", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": 1, - "editable": true, - "error": false, - "fill": 0, - "grid": {}, - "id": 1709, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": 250, - "sort": "current", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "avg(process_resident_memory_bytes{job=~\"tikv.*\"}) by (job)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{job}}", - "refId": "A", - "step": 10 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "memory", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "bytes", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - 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"percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(rate(tikv_pd_heartbeat_message_total[1m])) by (type)", - "intervalFactor": 2, - "legendFormat": "{{ type }}", - "refId": "A", - "step": 4 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "PD heartbeats", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "ops", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "opm", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": 1, - "fill": 1, - "id": 1396, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": 350, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(rate(tikv_pd_validate_peer_total[1m])) by (type)", - "intervalFactor": 2, - "legendFormat": "{{ type }}", - "metric": "", - "refId": "A", - "step": 4 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "PD validate peers", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "ops", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "PD", - "titleSize": "h6" - } - ], - "schemaVersion": 14, - "style": "dark", - "tags": [], - "templating": { - "list": [ - { - "allValue": null, - "current": {}, - "datasource": "${DS_TEST-CLUSTER}", - "hide": 0, - "includeAll": true, - "label": "db", - "multi": true, - "name": "db", - "options": [], - "query": "label_values(tikv_engine_block_cache_size_bytes, db)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - }, - { - "allValue": null, - "current": {}, - "datasource": "${DS_TEST-CLUSTER}", - "hide": 0, - "includeAll": true, - "label": "command", - "multi": true, - "name": "command", - "options": [], - "query": "label_values(tikv_storage_command_total, type)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - } - ] - }, - "time": { - "from": "now-1h", - "to": "now" - }, - "timepicker": { - "refresh_intervals": [ - "5s", - "10s", - "30s", - "1m", - "5m", - "15m", - "30m", - "1h", - "2h", - "1d" - ], - "time_options": [ - "5m", - "15m", - "1h", - "6h", - "12h", - "24h", - "2d", - "7d", - "30d" - ] - }, - "timezone": "browser", - "title": "Test-Cluster-TiKV", - "version": 2 -} diff --git a/docker/tidb/config/tikv.rules.yml b/docker/tidb/config/tikv.rules.yml deleted file mode 100644 index 3b08f94..0000000 --- a/docker/tidb/config/tikv.rules.yml +++ /dev/null @@ -1,350 +0,0 @@ -groups: -- name: alert.rules - rules: - - alert: TiKV_memory_used_too_fast - expr: process_resident_memory_bytes{job=~"tikv.*"} - (process_resident_memory_bytes{job=~"tikv.*"} offset 5m) > 5*1024*1024*1024 - for: 5m - labels: - env: test-cluster - level: emergency - expr: process_resident_memory_bytes{job=~"tikv.*"} - (process_resident_memory_bytes{job=~"tikv.*"} offset 5m) > 5*1024*1024*1024 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, job: {{ $labels.job }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV memory used too fast - - - alert: TiKV_GC_can_not_work - expr: sum(increase(tidb_tikvclient_gc_action_result{type="success"}[6h])) < 1 - for: 1m - labels: - env: test-cluster - level: emergency - expr: sum(increase(tidb_tikvclient_gc_action_result{type="success"}[6h])) < 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV GC can not work - - - alert: TiKV_server_report_failure_msg_total - expr: sum(rate(tikv_server_report_failure_msg_total{type="unreachable"}[10m])) BY (store_id) > 10 - for: 1m - labels: - env: test-cluster - level: critical - expr: sum(rate(tikv_server_report_failure_msg_total{type="unreachable"}[10m])) BY (store_id) > 10 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV server_report_failure_msg_total error - - - alert: TiKV_channel_full_total - expr: sum(rate(tikv_channel_full_total[10m])) BY (type, instance) > 0 - for: 1m - labels: - env: test-cluster - level: critical - expr: sum(rate(tikv_channel_full_total[10m])) BY (type, instance) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV channel full - - - alert: TiKV_write_stall - expr: delta( tikv_engine_write_stall[10m]) > 0 - for: 1m - labels: - env: test-cluster - level: critical - expr: delta( tikv_engine_write_stall[10m]) > 0 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV write stall - - - alert: TiKV_raft_log_lag - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_log_lag_bucket[1m])) by (le, instance, job)) > 5000 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_log_lag_bucket[1m])) by (le, instance, job)) > 5000 - annotations: - description: 'cluster: test-cluster, instance {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV raftstore log lag more than 5000 - - - alert: TiKV_async_request_snapshot_duration_seconds - expr: histogram_quantile(0.99, sum(rate(tikv_storage_engine_async_request_duration_seconds_bucket{type="snapshot"}[1m])) by (le, instance, job,type)) > 1 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(tikv_storage_engine_async_request_duration_seconds_bucket{type="snapshot"}[1m])) by (le, instance, job,type)) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV async request snapshot duration seconds more than 1s - - - alert: TiKV_async_request_write_duration_seconds - expr: histogram_quantile(0.99, sum(rate(tikv_storage_engine_async_request_duration_seconds_bucket{type="write"}[1m])) by (le, instance, job,type)) > 1 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(tikv_storage_engine_async_request_duration_seconds_bucket{type="write"}[1m])) by (le, instance, job,type)) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV async request write duration seconds more than 1s - - - alert: TiKV_coprocessor_request_wait_seconds - expr: histogram_quantile(0.9999, sum(rate(tikv_coprocessor_request_wait_seconds_bucket[1m])) by (le, instance, job,req)) > 10 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.9999, sum(rate(tikv_coprocessor_request_wait_seconds_bucket[1m])) by (le, instance, job,req)) > 10 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV coprocessor request wait seconds more than 10s - - - alert: TiKV_raftstore_thread_cpu_seconds_total - expr: sum(rate(tikv_thread_cpu_seconds_total{name=~"raftstore_.*"}[1m])) by (job, name) > 0.8 - for: 1m - labels: - env: test-cluster - level: critical - expr: sum(rate(tikv_thread_cpu_seconds_total{name=~"raftstore_.*"}[1m])) by (job, name) > 0.8 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV raftstore thread CPU seconds is high - - - alert: TiKV_raft_append_log_duration_secs - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_append_log_duration_seconds_bucket[1m])) by (le, instance, job)) > 1 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_append_log_duration_seconds_bucket[1m])) by (le, instance, job)) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV_raft_append_log_duration_secs - - - alert: TiKV_raft_apply_log_duration_secs - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_apply_log_duration_seconds_bucket[1m])) by (le, instance, job)) > 1 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_apply_log_duration_seconds_bucket[1m])) by (le, instance, job)) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV_raft_apply_log_duration_secs - - - alert: TiKV_scheduler_latch_wait_duration_seconds - expr: histogram_quantile(0.99, sum(rate(tikv_scheduler_latch_wait_duration_seconds_bucket[1m])) by (le, instance, job,type)) > 1 - for: 1m - labels: - env: test-cluster - level: critical - expr: histogram_quantile(0.99, sum(rate(tikv_scheduler_latch_wait_duration_seconds_bucket[1m])) by (le, instance, job,type)) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV scheduler latch wait duration seconds more than 1s - - - alert: TiKV_thread_apply_worker_cpu_seconds - expr: sum(rate(tikv_thread_cpu_seconds_total{name="apply_worker"}[1m])) by (job) > 0.9 - for: 1m - labels: - env: test-cluster - level: critical - expr: sum(rate(tikv_thread_cpu_seconds_total{name="apply_worker"}[1m])) by (job) > 0.9 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV thread apply worker cpu seconds is high - - - alert: TiDB_tikvclient_gc_action_fail - expr: sum(increase(tidb_tikvclient_gc_action_result{type="fail"}[1m])) > 10 - for: 1m - labels: - env: test-cluster - level: critical - expr: sum(increase(tidb_tikvclient_gc_action_result{type="fail"}[1m])) > 10 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiDB_tikvclient_gc_action_fail - - - alert: TiKV_leader_drops - expr: delta(tikv_pd_heartbeat_tick_total{type="leader"}[30s]) < -10 - for: 1m - labels: - env: test-cluster - level: warning - expr: delta(tikv_pd_heartbeat_tick_total{type="leader"}[30s]) < -10 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV leader drops - - - alert: TiKV_raft_process_ready_duration_secs - expr: histogram_quantile(0.999, sum(rate(tikv_raftstore_raft_process_duration_secs_bucket{type='ready'}[1m])) by (le, instance, job,type)) > 2 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.999, sum(rate(tikv_raftstore_raft_process_duration_secs_bucket{type='ready'}[1m])) by (le, instance, job,type)) > 2 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV_raft_process_ready_duration_secs - - - alert: TiKV_raft_process_tick_duration_secs - expr: histogram_quantile(0.999, sum(rate(tikv_raftstore_raft_process_duration_secs_bucket{type='tick'}[1m])) by (le, instance, job,type)) > 2 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.999, sum(rate(tikv_raftstore_raft_process_duration_secs_bucket{type='tick'}[1m])) by (le, instance, job,type)) > 2 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV_raft_process_tick_duration_secs - - - alert: TiKV_scheduler_context_total - expr: abs(delta( tikv_scheduler_contex_total[5m])) > 1000 - for: 1m - labels: - env: test-cluster - level: warning - expr: abs(delta( tikv_scheduler_contex_total[5m])) > 1000 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV scheduler context total - - - alert: TiKV_scheduler_command_duration_seconds - expr: histogram_quantile(0.99, sum(rate(tikv_scheduler_command_duration_seconds_bucket[1m])) by (le, instance, job,type) / 1000) > 1 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.99, sum(rate(tikv_scheduler_command_duration_seconds_bucket[1m])) by (le, instance, job,type) / 1000) > 1 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV scheduler command duration seconds more than 1s - - - alert: TiKV_thread_storage_scheduler_cpu_seconds - expr: sum(rate(tikv_thread_cpu_seconds_total{name=~"storage_schedul.*"}[1m])) by (job) > 0.8 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum(rate(tikv_thread_cpu_seconds_total{name=~"storage_schedul.*"}[1m])) by (job) > 0.8 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values:{{ $value }}' - value: '{{ $value }}' - summary: TiKV storage scheduler cpu seconds more than 80% - - - alert: TiKV_coprocessor_outdated_request_wait_seconds - expr: delta( tikv_coprocessor_outdated_request_wait_seconds_count[10m] ) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: delta( tikv_coprocessor_outdated_request_wait_seconds_count[10m] ) > 0 - annotations: - description: 'cluster: test-cluster, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV coprocessor outdated request wait seconds - - - alert: TiKV_coprocessor_request_error - expr: increase(tikv_coprocessor_request_error{reason!="lock"}[10m]) > 100 - for: 1m - labels: - env: test-cluster - level: warning - expr: increase(tikv_coprocessor_request_error{reason!="lock"}[10m]) > 100 - annotations: - description: 'cluster: test-cluster, reason: {{ $labels.reason }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV coprocessor request error - - - alert: TiKV_coprocessor_request_lock_error - expr: increase(tikv_coprocessor_request_error{reason="lock"}[10m]) > 10000 - for: 1m - labels: - env: test-cluster - level: warning - expr: increase(tikv_coprocessor_request_error{reason="lock"}[10m]) > 10000 - annotations: - description: 'cluster: test-cluster, reason: {{ $labels.reason }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV coprocessor request lock error - - - alert: TiKV_coprocessor_pending_request - expr: delta( tikv_coprocessor_pending_request[10m]) > 5000 - for: 1m - labels: - env: test-cluster - level: warning - expr: delta( tikv_coprocessor_pending_request[10m]) > 5000 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV pending {{ $labels.type }} request is high - - - alert: TiKV_batch_request_snapshot_nums - expr: sum(rate(tikv_thread_cpu_seconds_total{name=~"endpoint.*"}[1m])) by (job) / ( count(tikv_thread_cpu_seconds_total{name=~"endpoint.*"}) * 0.9 ) / count(count(tikv_thread_cpu_seconds_total) by (instance)) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum(rate(tikv_thread_cpu_seconds_total{name=~"endpoint.*"}[1m])) by (job) / ( count(tikv_thread_cpu_seconds_total{name=~"endpoint.*"}) * 0.9 ) / count(count(tikv_thread_cpu_seconds_total) by (instance)) > 0 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV batch request snapshot nums is high - - - alert: TiKV_pending_task - expr: sum(tikv_worker_pending_task_total) BY (job,instance,name) > 1000 - for: 1m - labels: - env: test-cluster - level: warning - expr: sum(tikv_worker_pending_task_total) BY (job,instance,name) > 1000 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV pending task too much - - - alert: TiKV_low_space_and_add_region - expr: count( (sum(tikv_store_size_bytes{type="available"}) by (job) / sum(tikv_store_size_bytes{type="capacity"}) by (job) < 0.2) and (sum(tikv_raftstore_snapshot_traffic_total{type="applying"}) by (job) > 0 ) ) > 0 - for: 1m - labels: - env: test-cluster - level: warning - expr: count( (sum(tikv_store_size_bytes{type="available"}) by (job) / sum(tikv_store_size_bytes{type="capacity"}) by (job) < 0.2) and (sum(tikv_raftstore_snapshot_traffic_total{type="applying"}) by (job) > 0 ) ) > 0 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV low_space and add_region - - - alert: TiKV_approximate_region_size - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_region_size_bucket[1m])) by (le)) > 1073741824 - for: 1m - labels: - env: test-cluster - level: warning - expr: histogram_quantile(0.99, sum(rate(tikv_raftstore_region_size_bucket[1m])) by (le)) > 1073741824 - annotations: - description: 'cluster: test-cluster, type: {{ $labels.type }}, instance: {{ $labels.instance }}, values: {{ $value }}' - value: '{{ $value }}' - summary: TiKV approximate region size is more than 1GB diff --git a/docker/tidb/config/tikv.toml b/docker/tidb/config/tikv.toml deleted file mode 100644 index 6606cd9..0000000 --- a/docker/tidb/config/tikv.toml +++ /dev/null @@ -1,497 +0,0 @@ -# TiKV config template -# Human-readable big numbers: -# File size(based on byte): KB, MB, GB, TB, PB -# e.g.: 1_048_576 = "1MB" -# Time(based on ms): ms, s, m, h -# e.g.: 78_000 = "1.3m" - -# log level: trace, debug, info, warn, error, off. -log-level = "error" -# file to store log, write to stderr if it's empty. -# log-file = "" - -[readpool.storage] -# size of thread pool for high-priority operations -# high-concurrency = 4 -# size of thread pool for normal-priority operations -# normal-concurrency = 4 -# size of thread pool for low-priority operations -# low-concurrency = 4 -# max running high-priority operations, reject if exceed -# max-tasks-high = 8000 -# max running normal-priority operations, reject if exceed -# max-tasks-normal = 8000 -# max running low-priority operations, reject if exceed -# max-tasks-low = 8000 -# size of stack size for each thread pool -# stack-size = "10MB" - -[readpool.coprocessor] -# Notice: if CPU_NUM > 8, default thread pool size for coprocessors -# will be set to CPU_NUM * 0.8. - -# high-concurrency = 8 -# normal-concurrency = 8 -# low-concurrency = 8 -# max-tasks-high = 16000 -# max-tasks-normal = 16000 -# max-tasks-low = 16000 -# stack-size = "10MB" - -[server] -# set listening address. -# addr = "127.0.0.1:20160" -# set advertise listening address for client communication, if not set, use addr instead. -# advertise-addr = "" -# notify capacity, 40960 is suitable for about 7000 regions. -# notify-capacity = 40960 -# maximum number of messages can be processed in one tick. -# messages-per-tick = 4096 - -# compression type for grpc channel, available values are no, deflate and gzip. -# grpc-compression-type = "no" -# size of thread pool for grpc server. -# grpc-concurrency = 4 -# The number of max concurrent streams/requests on a client connection. -# grpc-concurrent-stream = 1024 -# The number of connections with each tikv server to send raft messages. -# grpc-raft-conn-num = 10 -# Amount to read ahead on individual grpc streams. -# grpc-stream-initial-window-size = "2MB" - -# How many snapshots can be sent concurrently. -# concurrent-send-snap-limit = 32 -# How many snapshots can be recv concurrently. -# concurrent-recv-snap-limit = 32 - -# max count of tasks being handled, new tasks will be rejected. -# end-point-max-tasks = 2000 - -# max recursion level allowed when decoding dag expression -# end-point-recursion-limit = 1000 - -# max time to handle coprocessor request before timeout -# end-point-request-max-handle-duration = "60s" - -# the max bytes that snapshot can be written to disk in one second, -# should be set based on your disk performance -# snap-max-write-bytes-per-sec = "100MB" - -# set attributes about this server, e.g. { zone = "us-west-1", disk = "ssd" }. -# labels = {} - -[storage] -# set the path to rocksdb directory. -# data-dir = "/tmp/tikv/store" - -# notify capacity of scheduler's channel -# scheduler-notify-capacity = 10240 - -# maximum number of messages can be processed in one tick -# scheduler-messages-per-tick = 1024 - -# the number of slots in scheduler latches, concurrency control for write. -# scheduler-concurrency = 2048000 - -# scheduler's worker pool size, should increase it in heavy write cases, -# also should less than total cpu cores. -# scheduler-worker-pool-size = 4 - -# When the pending write bytes exceeds this threshold, -# the "scheduler too busy" error is displayed. -# scheduler-pending-write-threshold = "100MB" - -[pd] -# pd endpoints -# endpoints = [] - -[metric] -# the Prometheus client push interval. Setting the value to 0s stops Prometheus client from pushing. -# interval = "15s" -# the Prometheus pushgateway address. Leaving it empty stops Prometheus client from pushing. -address = "pushgateway:9091" -# the Prometheus client push job name. Note: A node id will automatically append, e.g., "tikv_1". -# job = "tikv" - -[raftstore] -# true (default value) for high reliability, this can prevent data loss when power failure. -# sync-log = true - -# set the path to raftdb directory, default value is data-dir/raft -# raftdb-path = "" - -# set store capacity, if no set, use disk capacity. -# capacity = 0 - -# notify capacity, 40960 is suitable for about 7000 regions. -# notify-capacity = 40960 - -# maximum number of messages can be processed in one tick. -# messages-per-tick = 4096 - -# Region heartbeat tick interval for reporting to pd. -# pd-heartbeat-tick-interval = "60s" -# Store heartbeat tick interval for reporting to pd. -# pd-store-heartbeat-tick-interval = "10s" - -# When region size changes exceeds region-split-check-diff, we should check -# whether the region should be split or not. -# region-split-check-diff = "6MB" - -# Interval to check region whether need to be split or not. -# split-region-check-tick-interval = "10s" - -# When raft entry exceed the max size, reject to propose the entry. -# raft-entry-max-size = "8MB" - -# Interval to gc unnecessary raft log. -# raft-log-gc-tick-interval = "10s" -# A threshold to gc stale raft log, must >= 1. -# raft-log-gc-threshold = 50 -# When entry count exceed this value, gc will be forced trigger. -# raft-log-gc-count-limit = 72000 -# When the approximate size of raft log entries exceed this value, gc will be forced trigger. -# It's recommanded to set it to 3/4 of region-split-size. -# raft-log-gc-size-limit = "72MB" - -# When a peer hasn't been active for max-peer-down-duration, -# we will consider this peer to be down and report it to pd. -# max-peer-down-duration = "5m" - -# Interval to check whether start manual compaction for a region, -# region-compact-check-interval = "5m" -# Number of regions for each time to check. -# region-compact-check-step = 100 -# The minimum number of delete tombstones to trigger manual compaction. -# region-compact-min-tombstones = 10000 -# Interval to check whether should start a manual compaction for lock column family, -# if written bytes reach lock-cf-compact-threshold for lock column family, will fire -# a manual compaction for lock column family. -# lock-cf-compact-interval = "10m" -# lock-cf-compact-bytes-threshold = "256MB" - -# Interval (s) to check region whether the data are consistent. -# consistency-check-interval = 0 - -# Use delete range to drop a large number of continuous keys. -# use-delete-range = false - -# delay time before deleting a stale peer -# clean-stale-peer-delay = "10m" - -# Interval to cleanup import sst files. -# cleanup-import-sst-interval = "10m" - -[coprocessor] -# When it is true, it will try to split a region with table prefix if -# that region crosses tables. It is recommended to turn off this option -# if there will be a large number of tables created. -# split-region-on-table = true -# When the region's size exceeds region-max-size, we will split the region -# into two which the left region's size will be region-split-size or a little -# bit smaller. -# region-max-size = "144MB" -# region-split-size = "96MB" - -[rocksdb] -# Maximum number of concurrent background jobs (compactions and flushes) -# max-background-jobs = 8 - -# This value represents the maximum number of threads that will concurrently perform a -# compaction job by breaking it into multiple, smaller ones that are run simultaneously. -# Default: 1 (i.e. no subcompactions) -# max-sub-compactions = 1 - -# Number of open files that can be used by the DB. You may need to -# increase this if your database has a large working set. Value -1 means -# files opened are always kept open. You can estimate number of files based -# on target_file_size_base and target_file_size_multiplier for level-based -# compaction. -# If max-open-files = -1, RocksDB will prefetch index and filter blocks into -# block cache at startup, so if your database has a large working set, it will -# take several minutes to open the db. -max-open-files = 1024 - -# Max size of rocksdb's MANIFEST file. -# For detailed explanation please refer to https://github.com/facebook/rocksdb/wiki/MANIFEST -# max-manifest-file-size = "20MB" - -# If true, the database will be created if it is missing. -# create-if-missing = true - -# rocksdb wal recovery mode -# 0 : TolerateCorruptedTailRecords, tolerate incomplete record in trailing data on all logs; -# 1 : AbsoluteConsistency, We don't expect to find any corruption in the WAL; -# 2 : PointInTimeRecovery, Recover to point-in-time consistency; -# 3 : SkipAnyCorruptedRecords, Recovery after a disaster; -# wal-recovery-mode = 2 - -# rocksdb write-ahead logs dir path -# This specifies the absolute dir path for write-ahead logs (WAL). -# If it is empty, the log files will be in the same dir as data. -# When you set the path to rocksdb directory in memory like in /dev/shm, you may want to set -# wal-dir to a directory on a persistent storage. -# See https://github.com/facebook/rocksdb/wiki/How-to-persist-in-memory-RocksDB-database -# wal-dir = "/tmp/tikv/store" - -# The following two fields affect how archived write-ahead logs will be deleted. -# 1. If both set to 0, logs will be deleted asap and will not get into the archive. -# 2. If wal-ttl-seconds is 0 and wal-size-limit is not 0, -# WAL files will be checked every 10 min and if total size is greater -# then wal-size-limit, they will be deleted starting with the -# earliest until size_limit is met. All empty files will be deleted. -# 3. If wal-ttl-seconds is not 0 and wal-size-limit is 0, then -# WAL files will be checked every wal-ttl-seconds / 2 and those that -# are older than wal-ttl-seconds will be deleted. -# 4. If both are not 0, WAL files will be checked every 10 min and both -# checks will be performed with ttl being first. -# When you set the path to rocksdb directory in memory like in /dev/shm, you may want to set -# wal-ttl-seconds to a value greater than 0 (like 86400) and backup your db on a regular basis. -# See https://github.com/facebook/rocksdb/wiki/How-to-persist-in-memory-RocksDB-database -# wal-ttl-seconds = 0 -# wal-size-limit = 0 - -# rocksdb max total wal size -# max-total-wal-size = "4GB" - -# Rocksdb Statistics provides cumulative stats over time. -# Turn statistics on will introduce about 5%-10% overhead for RocksDB, -# but it is worthy to know the internal status of RocksDB. -# enable-statistics = true - -# Dump statistics periodically in information logs. -# Same as rocksdb's default value (10 min). -# stats-dump-period = "10m" - -# Due to Rocksdb FAQ: https://github.com/facebook/rocksdb/wiki/RocksDB-FAQ, -# If you want to use rocksdb on multi disks or spinning disks, you should set value at -# least 2MB; -# compaction-readahead-size = 0 - -# This is the maximum buffer size that is used by WritableFileWrite -# writable-file-max-buffer-size = "1MB" - -# Use O_DIRECT for both reads and writes in background flush and compactions -# use-direct-io-for-flush-and-compaction = false - -# Limit the disk IO of compaction and flush. Compaction and flush can cause -# terrible spikes if they exceed a certain threshold. Consider setting this to -# 50% ~ 80% of the disk throughput for a more stable result. However, in heavy -# write workload, limiting compaction and flush speed can cause write stalls too. -# rate-bytes-per-sec = 0 - -# Enable or disable the pipelined write -# enable-pipelined-write = true - -# Allows OS to incrementally sync files to disk while they are being -# written, asynchronously, in the background. -# bytes-per-sync = "0MB" - -# Allows OS to incrementally sync WAL to disk while it is being written. -# wal-bytes-per-sync = "0KB" - -# Specify the maximal size of the Rocksdb info log file. If the log file -# is larger than `max_log_file_size`, a new info log file will be created. -# If max_log_file_size == 0, all logs will be written to one log file. -# Default: 1GB -# info-log-max-size = "1GB" - -# Time for the Rocksdb info log file to roll (in seconds). -# If specified with non-zero value, log file will be rolled -# if it has been active longer than `log_file_time_to_roll`. -# Default: 0 (disabled) -# info-log-roll-time = "0" - -# Maximal Rocksdb info log files to be kept. -# Default: 10 -# info-log-keep-log-file-num = 10 - -# This specifies the Rocksdb info LOG dir. -# If it is empty, the log files will be in the same dir as data. -# If it is non empty, the log files will be in the specified dir, -# and the db data dir's absolute path will be used as the log file -# name's prefix. -# Default: empty -# info-log-dir = "" - -# Column Family default used to store actual data of the database. -[rocksdb.defaultcf] -# compression method (if any) is used to compress a block. -# no: kNoCompression -# snappy: kSnappyCompression -# zlib: kZlibCompression -# bzip2: kBZip2Compression -# lz4: kLZ4Compression -# lz4hc: kLZ4HCCompression -# zstd: kZSTD - -# per level compression -# compression-per-level = ["no", "no", "lz4", "lz4", "lz4", "zstd", "zstd"] - -# Approximate size of user data packed per block. Note that the -# block size specified here corresponds to uncompressed data. -# block-size = "64KB" - -# If you're doing point lookups you definitely want to turn bloom filters on, We use -# bloom filters to avoid unnecessary disk reads. Default bits_per_key is 10, which -# yields ~1% false positive rate. Larger bits_per_key values will reduce false positive -# rate, but increase memory usage and space amplification. -# bloom-filter-bits-per-key = 10 - -# false means one sst file one bloom filter, true means evry block has a corresponding bloom filter -# block-based-bloom-filter = false - -# level0-file-num-compaction-trigger = 4 - -# Soft limit on number of level-0 files. We start slowing down writes at this point. -# level0-slowdown-writes-trigger = 20 - -# Maximum number of level-0 files. We stop writes at this point. -# level0-stop-writes-trigger = 36 - -# Amount of data to build up in memory (backed by an unsorted log -# on disk) before converting to a sorted on-disk file. -# write-buffer-size = "128MB" - -# The maximum number of write buffers that are built up in memory. -# max-write-buffer-number = 5 - -# The minimum number of write buffers that will be merged together -# before writing to storage. -# min-write-buffer-number-to-merge = 1 - -# Control maximum total data size for base level (level 1). -# max-bytes-for-level-base = "512MB" - -# Target file size for compaction. -# target-file-size-base = "8MB" - -# Max bytes for compaction.max_compaction_bytes -# max-compaction-bytes = "2GB" - -# There are four different algorithms to pick files to compact. -# 0 : ByCompensatedSize -# 1 : OldestLargestSeqFirst -# 2 : OldestSmallestSeqFirst -# 3 : MinOverlappingRatio -# compaction-pri = 3 - -# block-cache used to cache uncompressed blocks, big block-cache can speed up read. -# in normal cases should tune to 30%-50% system's total memory. -# block-cache-size = "1GB" - -# Indicating if we'd put index/filter blocks to the block cache. -# If not specified, each "table reader" object will pre-load index/filter block -# during table initialization. -# cache-index-and-filter-blocks = true - -# Pin level0 filter and index blocks in cache. -# pin-l0-filter-and-index-blocks = true - -# Enable read amplication statistics. -# value => memory usage (percentage of loaded blocks memory) -# 1 => 12.50 % -# 2 => 06.25 % -# 4 => 03.12 % -# 8 => 01.56 % -# 16 => 00.78 % -# read-amp-bytes-per-bit = 0 - -# Pick target size of each level dynamically. -# dynamic-level-bytes = true - -# Options for Column Family write -# Column Family write used to store commit informations in MVCC model -[rocksdb.writecf] -# compression-per-level = ["no", "no", "lz4", "lz4", "lz4", "zstd", "zstd"] -# block-size = "64KB" -# write-buffer-size = "128MB" -# max-write-buffer-number = 5 -# min-write-buffer-number-to-merge = 1 -# max-bytes-for-level-base = "512MB" -# target-file-size-base = "8MB" - -# in normal cases should tune to 10%-30% system's total memory. -# block-cache-size = "256MB" -# level0-file-num-compaction-trigger = 4 -# level0-slowdown-writes-trigger = 20 -# level0-stop-writes-trigger = 36 -# cache-index-and-filter-blocks = true -# pin-l0-filter-and-index-blocks = true -# compaction-pri = 3 -# read-amp-bytes-per-bit = 0 -# dynamic-level-bytes = true - -[rocksdb.lockcf] -# compression-per-level = ["no", "no", "no", "no", "no", "no", "no"] -# block-size = "16KB" -# write-buffer-size = "128MB" -# max-write-buffer-number = 5 -# min-write-buffer-number-to-merge = 1 -# max-bytes-for-level-base = "128MB" -# target-file-size-base = "8MB" -# block-cache-size = "256MB" -# level0-file-num-compaction-trigger = 1 -# level0-slowdown-writes-trigger = 20 -# level0-stop-writes-trigger = 36 -# cache-index-and-filter-blocks = true -# pin-l0-filter-and-index-blocks = true -# compaction-pri = 0 -# read-amp-bytes-per-bit = 0 -# dynamic-level-bytes = true - -[raftdb] -# max-sub-compactions = 1 -max-open-files = 1024 -# max-manifest-file-size = "20MB" -# create-if-missing = true - -# enable-statistics = true -# stats-dump-period = "10m" - -# compaction-readahead-size = 0 -# writable-file-max-buffer-size = "1MB" -# use-direct-io-for-flush-and-compaction = false -# enable-pipelined-write = true -# allow-concurrent-memtable-write = false -# bytes-per-sync = "0MB" -# wal-bytes-per-sync = "0KB" - -# info-log-max-size = "1GB" -# info-log-roll-time = "0" -# info-log-keep-log-file-num = 10 -# info-log-dir = "" - -[raftdb.defaultcf] -# compression-per-level = ["no", "no", "lz4", "lz4", "lz4", "zstd", "zstd"] -# block-size = "64KB" -# write-buffer-size = "128MB" -# max-write-buffer-number = 5 -# min-write-buffer-number-to-merge = 1 -# max-bytes-for-level-base = "512MB" -# target-file-size-base = "8MB" - -# should tune to 256MB~2GB. -# block-cache-size = "256MB" -# level0-file-num-compaction-trigger = 4 -# level0-slowdown-writes-trigger = 20 -# level0-stop-writes-trigger = 36 -# cache-index-and-filter-blocks = true -# pin-l0-filter-and-index-blocks = true -# compaction-pri = 0 -# read-amp-bytes-per-bit = 0 -# dynamic-level-bytes = true - -[security] -# set the path for certificates. Empty string means disabling secure connectoins. -# ca-path = "" -# cert-path = "" -# key-path = "" - -[import] -# the directory to store importing kv data. -# import-dir = "/tmp/tikv/import" -# number of threads to handle RPC requests. -# num-threads = 8 -# stream channel window size, stream will be blocked on channel full. -# stream-channel-window = 128 diff --git a/docker/tidb/dashboard-installer/Dockerfile b/docker/tidb/dashboard-installer/Dockerfile deleted file mode 100644 index 16878b8..0000000 --- a/docker/tidb/dashboard-installer/Dockerfile +++ /dev/null @@ -1,7 +0,0 @@ -FROM python:2.7-alpine - -RUN apk add --no-cache ca-certificates curl - -ADD dashboards / - -ENTRYPOINT ["/tidb-dashboard-installer.sh"] diff --git a/docker/tidb/dashboard-installer/README.md b/docker/tidb/dashboard-installer/README.md deleted file mode 100644 index 4fe583d..0000000 --- a/docker/tidb/dashboard-installer/README.md +++ /dev/null @@ -1,13 +0,0 @@ -# TiDB dashboard installer - -This image is used to configure Grafana datasource and dashboards for TiDB cluster. It is used in [tidb-docker-compose](https://github.com/pingcap/tidb-docker-compose) and [tidb-operator](https://github.com/pingcap/tidb-operator). - -The JSON files in dashboards are copied from [tidb-ansible](https://github.com/pingcap/tidb-ansible/tree/master/scripts). - -Grafana version prior to v5.0.0 can only use import API to automate datasource and dashboard configuration. So this image is needed to run in docker environment. It runs only once in this environment. - -With Grafana v5.x, we can use [provisioning](http://docs.grafana.org/administration/provisioning) feature to statically provision datasources and dashboards. No need to use scripts to configure Grafana. - -But currently, the dashboards in [tidb-ansible](https://github.com/pingcap/tidb-ansible/tree/master/scripts) repository are incompatible with Grafana v5.x and cannot be statically provisioned. So this image is still required. - -In the future, we can use [grafonnet](https://github.com/grafana/grafonnet-lib) to migrate old dashboards and make dashboard updating reviewable. diff --git a/docker/tidb/dashboard-installer/dashboards/LICENSE b/docker/tidb/dashboard-installer/dashboards/LICENSE deleted file mode 100644 index b67d909..0000000 --- a/docker/tidb/dashboard-installer/dashboards/LICENSE +++ /dev/null @@ -1,201 +0,0 @@ -Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. 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') - ret = import_dashboard_via_user_pass(url, user, password, dashboard) - print(ret) - - if ret['status'] != 'success': - print(' > ERROR: ', ret) - raise RuntimeError diff --git a/docker/tidb/dashboard-installer/dashboards/overview.json b/docker/tidb/dashboard-installer/dashboards/overview.json deleted file mode 100644 index 6d54dfd..0000000 --- a/docker/tidb/dashboard-installer/dashboards/overview.json +++ /dev/null @@ -1,4892 +0,0 @@ -{ - "__inputs": [ - { - "name": "DS_TEST-CLUSTER", - "label": "test-cluster", - "description": "", - "type": "datasource", - "pluginId": "prometheus", - "pluginName": "Prometheus" - } - ], - "__requires": [ - { - "type": "grafana", - "id": "grafana", - "name": "Grafana", - "version": "4.6.3" - }, - { - "type": "panel", - "id": "graph", - "name": "Graph", - "version": "" - }, - { - "type": "datasource", - "id": "prometheus", - "name": "Prometheus", - "version": "1.0.0" - }, - { - "type": "panel", - "id": "singlestat", - "name": "Singlestat", - "version": "" - }, - { - "type": "panel", - "id": "table", - "name": "Table", - "version": "" - } - ], - "annotations": { - "list": [ - { - "builtIn": 1, - "datasource": "${DS_TEST-CLUSTER}", - "enable": true, - "hide": true, - "iconColor": "rgba(0, 211, 255, 1)", - "name": "Annotations & Alerts", - "type": "dashboard" - } - ] - }, - "editable": true, - "gnetId": null, - "graphTooltip": 0, - "hideControls": false, - "id": null, - "links": [ - { - "icon": "doc", - "includeVars": true, - "keepTime": true, - "tags": [], - "targetBlank": true, - "title": "Report", - "tooltip": "Open a pdf report for the current dashboard", - "type": "link", - "url": "http://172.16.10.71:8686/api/report/test-cluster-overview?apitoken=eyJrIjoiWTlFZ0M0REpKbFY3aFRvOVNJZEh6cWNJaTkxY3NLdTYiLCJuIjoiZ3JhZmFuYV9hcGlrZXkiLCJpZCI6MX0=" - } - ], - "refresh": "1m", - "rows": [ - { - "collapse": false, - "height": 310, - "panels": [ - { - "columns": [ - { - "text": "Current", - "value": "current" - } - ], - "datasource": "${DS_TEST-CLUSTER}", - 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"options": [], - "query": "label_values(pd_cluster_status{instance=\"$instance\"}, namespace)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - } - ] - }, - "time": { - "from": "now-1h", - "to": "now" - }, - "timepicker": { - "refresh_intervals": [ - "5s", - "10s", - "30s", - "1m", - "5m", - "15m", - "30m", - "1h", - "2h", - "1d" - ], - "time_options": [ - "5m", - "15m", - "1h", - "6h", - "12h", - "24h", - "2d", - "7d", - "30d" - ] - }, - "timezone": "browser", - "title": "Test-Cluster-PD", - "version": 3 -} diff --git a/docker/tidb/dashboard-installer/dashboards/tidb-dashboard-installer.sh b/docker/tidb/dashboard-installer/dashboards/tidb-dashboard-installer.sh deleted file mode 100755 index 826e26a..0000000 --- a/docker/tidb/dashboard-installer/dashboards/tidb-dashboard-installer.sh +++ /dev/null @@ -1,12 +0,0 @@ -#!/bin/sh - -url=$1 -userName=${GRAFANA_USERNAME:-admin} -password=${GRAFANA_PASSWORD:-admin} -datasource_url="http://${url}/api/datasources" -echo "Adding datasource..." -until curl -s -XPOST -H "Content-Type: application/json" --connect-timeout 1 -u ${userName}:${password} ${datasource_url} -d @/datasource.json >/dev/null; do - sleep 1 -done - -python grafana-config-copy.py "http://${url}/" ${userName} ${password} diff --git a/docker/tidb/dashboard-installer/dashboards/tidb.json b/docker/tidb/dashboard-installer/dashboards/tidb.json deleted file mode 100644 index 360be56..0000000 --- a/docker/tidb/dashboard-installer/dashboards/tidb.json +++ /dev/null @@ -1,6928 +0,0 @@ -{ - "__inputs": [ - { - "name": "DS_TEST-CLUSTER", - "label": "test-cluster", - "description": "", - "type": "datasource", - "pluginId": "prometheus", - "pluginName": "Prometheus" - } - ], - "__requires": [ - { - "type": "grafana", - "id": "grafana", - "name": "Grafana", - "version": "4.6.3" - }, - { - "type": "panel", - "id": "graph", - "name": "Graph", - "version": "" - }, - { - "type": "datasource", - "id": "prometheus", - "name": "Prometheus", - "version": "1.0.0" - } - ], - "annotations": { - "list": [ - { - "builtIn": 1, - "datasource": "${DS_TEST-CLUSTER}", - "enable": true, - "hide": true, - "iconColor": "rgba(0, 211, 255, 1)", - "name": "Annotations & Alerts", - "type": "dashboard" - } - ] - }, - "editable": true, - "gnetId": null, - "graphTooltip": 0, - "hideControls": false, - "id": null, - "links": [ - { - "icon": "doc", - "includeVars": true, - "keepTime": true, - "tags": [], - "targetBlank": true, - "title": "Report", - "tooltip": "Open a pdf report for the current dashboard", - "type": "link", - "url": "http://172.16.10.49:8686/api/report/test-cluster-tidb?apitoken=eyJrIjoiQkU2bmFQdjZMeTRmWVJ3UFo0bmV3Ym5zRG04Y2hmMHYiLCJuIjoiZ3JhZmFuYV9hcGlrZXkiLCJpZCI6MX0=" - } - ], - "refresh": "30s", - "rows": [ - { - "collapse": false, - "height": "240", - "panels": [ - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "fill": 1, - "id": 80, - "legend": { - "avg": false, - "current": false, - "max": false, - "min": false, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "histogram_quantile(0.999, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "999", - "refId": "A" - }, - { - "expr": "histogram_quantile(0.99, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "99", - "refId": "B" - }, - { - "expr": "histogram_quantile(0.95, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "95", - "refId": "C" - }, - { - "expr": "histogram_quantile(0.80, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "80", - "refId": "D" - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Duration", - "tooltip": { - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 2, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 42, - "legend": { - "alignAsTable": false, - "avg": false, - "current": true, - "hideEmpty": true, - "hideZero": false, - "max": true, - "min": false, - "rightSide": false, - "show": true, - "sideWidth": 250, - "sort": "max", - "sortDesc": false, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "minSpan": 12, - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(rate(tidb_server_query_total[1m])) by (result)", - "format": "time_series", - "instant": false, - "intervalFactor": 2, - "legendFormat": "query {{result}}", - "refId": "A", - "step": 60 - }, - { - "expr": "sum(rate(tidb_server_query_total{result=\"OK\"}[1m] offset 1d))", - "format": "time_series", - "hide": true, - "instant": false, - "intervalFactor": 3, - "legendFormat": "yesterday", - "refId": "B", - "step": 90 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "QPS", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 0, - "value_type": "cumulative" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "decimals": null, - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 21, - "legend": { - "alignAsTable": true, - "avg": true, - "current": true, - "hideEmpty": true, - "hideZero": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "sort": null, - "sortDesc": null, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(rate(tidb_executor_statement_total[1m])) by (type)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{type}}", - "refId": "A", - "step": 30 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Statement OPS", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "cumulative" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 2, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 0, - "grid": {}, - "id": 2, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "hideEmpty": true, - "hideZero": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": 250, - "sort": "max", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "minSpan": 12, - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [ - { - "alias": "total", - "lines": false - } - ], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "rate(tidb_server_query_total[1m])", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{instance}} {{type}} {{result}}", - "refId": "A", - "step": 30 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "QPS By Instance", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 2, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 0, - "grid": {}, - "id": 92, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "hideEmpty": true, - "hideZero": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "sideWidth": 250, - "sort": "max", - "sortDesc": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "minSpan": 12, - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [ - { - "alias": "total", - "lines": false - } - ], - "spaceLength": 10, - "span": 12, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(increase(tidb_server_execute_error_total[1m])) by (type)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": " {{type}}", - "refId": "A", - "step": 30 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Failed Query OPM", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 2, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 2, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "Query Summary", - "titleSize": "h6" - }, - { - "collapse": true, - "height": 250, - "panels": [ - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 23, - "legend": { - "alignAsTable": true, - "avg": false, - "current": false, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "histogram_quantile(0.80, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le, instance))", - "format": "time_series", - "hide": false, - "intervalFactor": 2, - "legendFormat": "{{instance}}", - "refId": "B", - "step": 60 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Duration 80 By Instance", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 0, - "value_type": "cumulative" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 2, - "max": null, - "min": "0.001", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": false - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 1, - "legend": { - "alignAsTable": true, - "avg": false, - "current": false, - "hideEmpty": true, - "hideZero": true, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "histogram_quantile(0.95, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le, instance))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{ instance }}", - "refId": "B", - "step": 60 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Duration 95 By Instance", - "tooltip": { - "msResolution": true, - "shared": false, - "sort": 0, - "value_type": "cumulative" - }, - "transparent": false, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [ - "max" - ] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 2, - "max": null, - "min": "0.001", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": false - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 25, - "legend": { - "alignAsTable": true, - "avg": false, - "current": false, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "histogram_quantile(0.99, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le, instance))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{instance}}", - "refId": "A", - "step": 60 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Duration 99 By Instance", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 0, - "value_type": "cumulative" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 2, - "max": null, - "min": "0.001", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 81, - "legend": { - "alignAsTable": true, - "avg": false, - "current": false, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "histogram_quantile(0.99, sum(rate(tidb_server_handle_query_duration_seconds_bucket[1m])) by (le, instance))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{instance}}", - "refId": "A", - "step": 60 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Duration 999 By Instance", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 0, - "value_type": "cumulative" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "s", - "label": null, - "logBase": 2, - "max": null, - "min": "0.001", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 94, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": true, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "increase(tidb_server_execute_error_total[1m])", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{type}} @ {{instance}}", - "refId": "A", - "step": 60 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Failed Query OPM Detail", - "tooltip": { - "msResolution": true, - "shared": true, - "sort": 0, - "value_type": "cumulative" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "none", - "label": null, - "logBase": 2, - "max": null, - "min": "0.001", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - }, - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "description": "The internal SQL is used by TiDB itself.", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 68, - "legend": { - "avg": false, - "current": false, - "max": false, - "min": false, - "show": false, - "total": false, - "values": false - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [], - "spaceLength": 10, - "span": 6, - "stack": false, - "steppedLine": false, - "targets": [ - { - "expr": "sum(rate(tidb_session_restricted_sql_total[30s]))", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "", - "refId": "A", - "step": 10 - } - ], - "thresholds": [], - "timeFrom": null, - "timeShift": null, - "title": "Internal SQL OPS", - "tooltip": { - "msResolution": false, - "shared": true, - "sort": 0, - "value_type": "individual" - }, - "type": "graph", - "xaxis": { - "buckets": null, - "mode": "time", - "name": null, - "show": true, - "values": [] - }, - "yaxes": [ - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": "0", - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "Query Detail", - "titleSize": "h6" - }, - { - "collapse": false, - "height": "250px", - "panels": [ - { - "aliasColors": {}, - "bars": false, - "dashLength": 10, - "dashes": false, - "datasource": "${DS_TEST-CLUSTER}", - "editable": true, - "error": false, - "fill": 1, - "grid": {}, - "id": 8, - "legend": { - "alignAsTable": true, - "avg": false, - "current": true, - "max": false, - "min": false, - "rightSide": true, - "show": true, - "total": false, - "values": true - }, - "lines": true, - "linewidth": 1, - "links": [], - "nullPointMode": "null as zero", - "percentage": false, - "pointradius": 5, - "points": false, - "renderer": "flot", - "seriesOverrides": [ - { - "alias": "total", - "fill": 0, - "lines": false - } - ], - "spaceLength": 10, - "span": 6, - "stack": true, - "steppedLine": true, - "targets": [ - { - "expr": "tidb_server_connections", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "{{instance}}", - "refId": "A", - "step": 40 - }, - { - "expr": "sum(tidb_server_connections)", - "format": "time_series", - "intervalFactor": 2, - "legendFormat": "total", - 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{ - "format": "ops", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - }, - { - "format": "short", - "label": null, - "logBase": 1, - "max": null, - "min": null, - "show": true - } - ] - } - ], - "repeat": null, - "repeatIteration": null, - "repeatRowId": null, - "showTitle": true, - "title": "PD", - "titleSize": "h6" - } - ], - "schemaVersion": 14, - "style": "dark", - "tags": [], - "templating": { - "list": [ - { - "allValue": null, - "current": {}, - "datasource": "${DS_TEST-CLUSTER}", - "hide": 0, - "includeAll": true, - "label": "db", - "multi": true, - "name": "db", - "options": [], - "query": "label_values(tikv_engine_block_cache_size_bytes, db)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - }, - { - "allValue": null, - "current": {}, - "datasource": "${DS_TEST-CLUSTER}", - "hide": 0, - "includeAll": true, - "label": "command", - "multi": true, - "name": "command", - "options": [], - "query": "label_values(tikv_storage_command_total, type)", - "refresh": 1, - "regex": "", - "sort": 1, - "tagValuesQuery": "", - "tags": [], - "tagsQuery": "", - "type": "query", - "useTags": false - } - ] - }, - "time": { - "from": "now-1h", - "to": "now" - }, - "timepicker": { - "refresh_intervals": [ - "5s", - "10s", - "30s", - "1m", - "5m", - "15m", - "30m", - "1h", - "2h", - "1d" - ], - "time_options": [ - "5m", - "15m", - "1h", - "6h", - "12h", - "24h", - "2d", - "7d", - "30d" - ] - }, - "timezone": "browser", - "title": "Test-Cluster-TiKV", - "version": 2 -} diff --git a/docker/tidb/docker-compose-binlog.yml b/docker/tidb/docker-compose-binlog.yml deleted file mode 100644 index b0369b4..0000000 --- a/docker/tidb/docker-compose-binlog.yml +++ /dev/null @@ -1,448 +0,0 @@ ---- -# Source: tidb-docker-compose/templates/docker-compose.yml -# dashboard-installer has been deleted, because we don't need it any more in docker-compose model -version: '2.1' - -services: - pd0: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd0 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd0:2379 - - --advertise-peer-urls=http://pd0:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd0 - - --config=/pd.toml - - --log-file=/logs/pd0.log - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - pd1: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd1 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd1:2379 - - --advertise-peer-urls=http://pd1:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd1 - - --config=/pd.toml - - --log-file=/logs/pd1.log - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - pd2: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd2 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd2:2379 - - --advertise-peer-urls=http://pd2:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd2 - - --config=/pd.toml - - --log-file=/logs/pd2.log - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - tikv0: - image: pingcap/tikv:latest - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv0:20160 - - --data-dir=/data/tikv0 - - --pd=pd0:2379,pd1:2379,pd2:2379 - - --config=/tikv.toml - - --log-file=/logs/tikv0.log - depends_on: - - "pd0" - - "pd1" - - "pd2" - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - tikv1: - image: pingcap/tikv:latest - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv1:20160 - - --data-dir=/data/tikv1 - - --pd=pd0:2379,pd1:2379,pd2:2379 - - --config=/tikv.toml - - --log-file=/logs/tikv1.log - depends_on: - - "pd0" - - "pd1" - - "pd2" - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - tikv2: - image: pingcap/tikv:latest - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv2:20160 - - --data-dir=/data/tikv2 - - --pd=pd0:2379,pd1:2379,pd2:2379 - - --config=/tikv.toml - - --log-file=/logs/tikv2.log - depends_on: - - "pd0" - - "pd1" - - "pd2" - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - pump0: - image: pingcap/tidb-binlog:latest - volumes: - - ./config/pump.toml:/pump.toml:ro - - ./data:/data - - ./logs:/logs - command: - - /pump - - --addr=0.0.0.0:8250 - - --advertise-addr=pump0:8250 - - --data-dir=/data/pump0 - - --log-file=/logs/pump0.log - - --node-id=pump0 - - --pd-urls=http://pd0:2379,http://pd1:2379,http://pd2:2379 - - --config=/pump.toml - depends_on: - - "pd0" - - "pd1" - - "pd2" - restart: on-failure - - pump1: - image: pingcap/tidb-binlog:latest - volumes: - - ./config/pump.toml:/pump.toml:ro - - ./data:/data - - ./logs:/logs - command: - - /pump - - --addr=0.0.0.0:8250 - - --advertise-addr=pump1:8250 - - --data-dir=/data/pump1 - - --log-file=/logs/pump1.log - - --node-id=pump1 - - --pd-urls=http://pd0:2379,http://pd1:2379,http://pd2:2379 - - --config=/pump.toml - depends_on: - - "pd0" - - "pd1" - - "pd2" - restart: on-failure - - pump2: - image: pingcap/tidb-binlog:latest - volumes: - - ./config/pump.toml:/pump.toml:ro - - ./data:/data - - ./logs:/logs - command: - - /pump - - --addr=0.0.0.0:8250 - - --advertise-addr=pump2:8250 - - --data-dir=/data/pump2 - - --log-file=/logs/pump2.log - - --node-id=pump2 - - --pd-urls=http://pd0:2379,http://pd1:2379,http://pd2:2379 - - --config=/pump.toml - depends_on: - - "pd0" - - "pd1" - - "pd2" - restart: on-failure - - drainer: - image: pingcap/tidb-binlog:latest - volumes: - - ./config/drainer.toml:/drainer.toml:ro - - ./data:/data - - ./logs:/logs - command: - - /drainer - - --addr=0.0.0.0:8249 - - --data-dir=/data/data.drainer - - --log-file=/logs/drainer.log - - --pd-urls=http://pd0:2379,http://pd1:2379,http://pd2:2379 - - --config=/drainer.toml - - --initial-commit-ts=0 - - --dest-db-type=kafka - depends_on: - - "pd0" - - "pd1" - - "pd2" - - "kafka0" - - "kafka1" - - "kafka2" - restart: on-failure - - zoo0: - image: zookeeper:latest - ports: - - "2181:2181" - environment: - ZOO_MY_ID: 1 - ZOO_PORT: 2181 - ZOO_SERVERS: server.1=zoo0:2888:3888 server.2=zoo1:2888:3888 server.3=zoo2:2888:3888 - volumes: - - ./data/zoo0/data:/data - - ./data/zoo0/datalog:/datalog - restart: on-failure - - zoo1: - image: zookeeper:latest - ports: - - "2182:2182" - environment: - ZOO_MY_ID: 2 - ZOO_PORT: 2182 - ZOO_SERVERS: server.1=zoo0:2888:3888 server.2=zoo1:2888:3888 server.3=zoo2:2888:3888 - volumes: - - ./data/zoo1/data:/data - - ./data/zoo1/datalog:/datalog - restart: on-failure - - zoo2: - image: zookeeper:latest - ports: - - "2183:2183" - environment: - ZOO_MY_ID: 3 - ZOO_PORT: 2183 - ZOO_SERVERS: server.1=zoo0:2888:3888 server.2=zoo1:2888:3888 server.3=zoo2:2888:3888 - volumes: - - ./data/zoo2/data:/data - - ./data/zoo2/datalog:/datalog - restart: on-failure - - kafka0: - image: wurstmeister/kafka:2.12-2.1.1 - ports: - - "9092:9092" - environment: - KAFKA_BROKER_ID: 1 - KAFKA_LOG_DIRS: /data/kafka-logs - KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka0:9092 - KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092 - KAFKA_ZOOKEEPER_CONNECT: zoo0:2181,zoo1:2182,zoo2:2183 - volumes: - - ./data/kafka-logs/kafka0:/data/kafka-logs - - ./logs/kafka0:/opt/kafka/logs - - /var/run/docker.sock:/var/run/docker.sock - depends_on: - - "zoo0" - - "zoo1" - - "zoo2" - restart: on-failure - kafka1: - image: wurstmeister/kafka:2.12-2.1.1 - ports: - - "9093:9093" - environment: - KAFKA_BROKER_ID: 2 - KAFKA_LOG_DIRS: /data/kafka-logs - KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka1:9093 - KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9093 - KAFKA_ZOOKEEPER_CONNECT: zoo0:2181,zoo1:2182,zoo2:2183 - volumes: - - ./data/kafka-logs/kafka1:/data/kafka-logs - - ./logs/kafka1:/opt/kafka/logs - - /var/run/docker.sock:/var/run/docker.sock - depends_on: - - "zoo0" - - "zoo1" - - "zoo2" - restart: on-failure - kafka2: - image: wurstmeister/kafka:2.12-2.1.1 - ports: - - "9094:9094" - environment: - KAFKA_BROKER_ID: 3 - KAFKA_LOG_DIRS: /data/kafka-logs - KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka2:9094 - KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9094 - KAFKA_ZOOKEEPER_CONNECT: zoo0:2181,zoo1:2182,zoo2:2183 - volumes: - - ./data/kafka-logs/kafka2:/data/kafka-logs - - ./logs/kafka2:/opt/kafka/logs - - /var/run/docker.sock:/var/run/docker.sock - depends_on: - - "zoo0" - - "zoo1" - - "zoo2" - restart: on-failure - - tidb: - image: pingcap/tidb:latest - ports: - - "4000:4000" - - "10080:10080" - volumes: - - ./config/tidb.toml:/tidb.toml:ro - - ./logs:/logs - command: - - --store=tikv - - --path=pd0:2379,pd1:2379,pd2:2379 - - --config=/tidb.toml - - --log-file=/logs/tidb.log - - --advertise-address=tidb - - --enable-binlog=true - depends_on: - - "tikv0" - - "tikv1" - - "tikv2" - - "pump0" - - "pump1" - - "pump2" - # sysctls: - # net.core.somaxconn: 32768 - # ulimits: - # nofile: - # soft: 1000000 - # hard: 1000000 - restart: on-failure - - tispark-master: - image: pingcap/tispark:latest - command: - - /opt/spark/sbin/start-master.sh - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_MASTER_PORT: 7077 - SPARK_MASTER_WEBUI_PORT: 8080 - ports: - - "7077:7077" - - "8080:8080" - depends_on: - - "tikv0" - - "tikv1" - - "tikv2" - restart: on-failure - tispark-slave0: - image: pingcap/tispark:latest - command: - - /opt/spark/sbin/start-slave.sh - - spark://tispark-master:7077 - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_WORKER_WEBUI_PORT: 38081 - ports: - - "38081:38081" - depends_on: - - tispark-master - restart: on-failure - - tidb-vision: - image: pingcap/tidb-vision:latest - environment: - PD_ENDPOINT: pd0:2379 - ports: - - "8010:8010" - restart: on-failure - pushgateway: - image: prom/pushgateway:v0.3.1 - command: - - --log.level=error - restart: on-failure - - prometheus: - user: root - image: prom/prometheus:v2.2.1 - command: - - --log.level=error - - --storage.tsdb.path=/data/prometheus - - --config.file=/etc/prometheus/prometheus.yml - ports: - - "9090:9090" - volumes: - - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro - - ./config/pd.rules.yml:/etc/prometheus/pd.rules.yml:ro - - ./config/tikv.rules.yml:/etc/prometheus/tikv.rules.yml:ro - - ./config/tidb.rules.yml:/etc/prometheus/tidb.rules.yml:ro - - ./data:/data - restart: on-failure - grafana: - image: grafana/grafana:5.3.0 - user: "0" - environment: - GF_LOG_LEVEL: error - GF_PATHS_PROVISIONING: /etc/grafana/provisioning - GF_PATHS_CONFIG: /etc/grafana/grafana.ini - ports: - - "3000:3000" - volumes: - - ./config/grafana:/etc/grafana - - ./config/dashboards:/tmp/dashboards - - ./data/grafana:/var/lib/grafana - restart: on-failure diff --git a/docker/tidb/docker-compose-test.yml b/docker/tidb/docker-compose-test.yml deleted file mode 100644 index 2801b88..0000000 --- a/docker/tidb/docker-compose-test.yml +++ /dev/null @@ -1,13 +0,0 @@ -version: '2.1' - -services: - tispark-tests: - image: pingcap/tispark:latest - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - - ./tispark-tests/tests:/opt/spark/tests:ro - -networks: - default: - external: - name: tidb-docker-compose_default diff --git a/docker/tidb/docker-compose-tiflash-nightly.yml b/docker/tidb/docker-compose-tiflash-nightly.yml deleted file mode 100644 index 72a468b..0000000 --- a/docker/tidb/docker-compose-tiflash-nightly.yml +++ /dev/null @@ -1,66 +0,0 @@ -version: '2.1' - -services: - pd0: - image: pingcap/pd:nightly - ports: - - "2379" - volumes: - - ./config/pd-nightly-tiflash.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd0 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd0:2379 - - --advertise-peer-urls=http://pd0:2380 - - --initial-cluster=pd0=http://pd0:2380 - - --data-dir=/data/pd - - --config=/pd.toml - - --log-file=/logs/pd.log - restart: on-failure - tikv: - image: pingcap/tikv:nightly - volumes: - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv:20160 - - --status-addr=tikv:20180 - - --data-dir=/data/tikv - - --pd=pd0:2379 - - --log-file=/logs/tikv.log - depends_on: - - "pd0" - restart: on-failure - tidb: - image: pingcap/tidb:nightly - ports: - - "4000:4000" - - "10080:10080" - volumes: - - ./logs:/logs - command: - - --status=10080 - - --advertise-address=tidb - - --store=tikv - - --path=pd0:2379 - - --log-file=/logs/tidb.log - depends_on: - - "tikv" - restart: on-failure - tiflash: - image: pingcap/tiflash:nightly - volumes: - - ./config/tiflash-nightly.toml:/tiflash.toml:ro - - ./config/tiflash-learner-nightly.toml:/tiflash-learner.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --config=/tiflash.toml - depends_on: - - "tikv" - - "tidb" - restart: on-failure diff --git a/docker/tidb/docker-compose.yml b/docker/tidb/docker-compose.yml deleted file mode 100644 index 324962d..0000000 --- a/docker/tidb/docker-compose.yml +++ /dev/null @@ -1,210 +0,0 @@ -version: '2.1' - -services: - pd0: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd0 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd0:2379 - - --advertise-peer-urls=http://pd0:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd0 - - --config=/pd.toml - - --log-file=/logs/pd0.log - restart: on-failure - pd1: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd1 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd1:2379 - - --advertise-peer-urls=http://pd1:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd1 - - --config=/pd.toml - - --log-file=/logs/pd1.log - restart: on-failure - pd2: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd2 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd2:2379 - - --advertise-peer-urls=http://pd2:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd2 - - --config=/pd.toml - - --log-file=/logs/pd2.log - restart: on-failure - tikv0: - image: pingcap/tikv:latest - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv0:20160 - - --data-dir=/data/tikv0 - - --pd=pd0:2379,pd1:2379,pd2:2379 - - --config=/tikv.toml - - --log-file=/logs/tikv0.log - depends_on: - - "pd0" - - "pd1" - - "pd2" - restart: on-failure - tikv1: - image: pingcap/tikv:latest - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv1:20160 - - --data-dir=/data/tikv1 - - --pd=pd0:2379,pd1:2379,pd2:2379 - - --config=/tikv.toml - - --log-file=/logs/tikv1.log - depends_on: - - "pd0" - - "pd1" - - "pd2" - restart: on-failure - tikv2: - image: pingcap/tikv:latest - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --addr=0.0.0.0:20160 - - --advertise-addr=tikv2:20160 - - --data-dir=/data/tikv2 - - --pd=pd0:2379,pd1:2379,pd2:2379 - - --config=/tikv.toml - - --log-file=/logs/tikv2.log - depends_on: - - "pd0" - - "pd1" - - "pd2" - restart: on-failure - - tidb: - image: pingcap/tidb:latest - ports: - - "4000:4000" - - "10080:10080" - volumes: - - ./config/tidb.toml:/tidb.toml:ro - - ./logs:/logs - command: - - --store=tikv - - --path=pd0:2379,pd1:2379,pd2:2379 - - --config=/tidb.toml - - --log-file=/logs/tidb.log - - --advertise-address=tidb - depends_on: - - "tikv0" - - "tikv1" - - "tikv2" - restart: on-failure - tispark-master: - image: pingcap/tispark:latest - command: - - /opt/spark/sbin/start-master.sh - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_MASTER_PORT: 7077 - SPARK_MASTER_WEBUI_PORT: 8080 - ports: - - "7077:7077" - - "8080:8080" - depends_on: - - "tikv0" - - "tikv1" - - "tikv2" - restart: on-failure - tispark-slave0: - image: pingcap/tispark:latest - command: - - /opt/spark/sbin/start-slave.sh - - spark://tispark-master:7077 - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_WORKER_WEBUI_PORT: 38081 - ports: - - "38081:38081" - depends_on: - - tispark-master - restart: on-failure - - tidb-vision: - image: pingcap/tidb-vision:latest - environment: - PD_ENDPOINT: pd0:2379 - ports: - - "8010:8010" - restart: on-failure - - # monitors - pushgateway: - image: prom/pushgateway:v0.3.1 - command: - - --log.level=error - restart: on-failure - prometheus: - user: root - image: prom/prometheus:v2.2.1 - command: - - --log.level=error - - --storage.tsdb.path=/data/prometheus - - --config.file=/etc/prometheus/prometheus.yml - ports: - - "9090:9090" - volumes: - - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro - - ./config/pd.rules.yml:/etc/prometheus/pd.rules.yml:ro - - ./config/tikv.rules.yml:/etc/prometheus/tikv.rules.yml:ro - - ./config/tidb.rules.yml:/etc/prometheus/tidb.rules.yml:ro - - ./data:/data - restart: on-failure - grafana: - image: grafana/grafana:6.0.1 - user: "0" - environment: - GF_LOG_LEVEL: error - GF_PATHS_PROVISIONING: /etc/grafana/provisioning - GF_PATHS_CONFIG: /etc/grafana/grafana.ini - volumes: - - ./config/grafana:/etc/grafana - - ./config/dashboards:/tmp/dashboards - - ./data/grafana:/var/lib/grafana - ports: - - "3000:3000" - restart: on-failure diff --git a/docker/tidb/docker-swarm.yml b/docker/tidb/docker-swarm.yml deleted file mode 100644 index 3635ccf..0000000 --- a/docker/tidb/docker-swarm.yml +++ /dev/null @@ -1,171 +0,0 @@ -version: '3.3' - -networks: - default: - driver: overlay - attachable: true - -services: - pd0: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd0 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd0:2379 - - --advertise-peer-urls=http://pd0:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd0 - - --config=/pd.toml - - --log-file=/logs/pd0.log - pd1: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd1 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd1:2379 - - --advertise-peer-urls=http://pd1:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd1 - - --config=/pd.toml - - --log-file=/logs/pd1.log - pd2: - image: pingcap/pd:latest - ports: - - "2379" - volumes: - - ./config/pd.toml:/pd.toml:ro - - ./data:/data - - ./logs:/logs - command: - - --name=pd2 - - --client-urls=http://0.0.0.0:2379 - - --peer-urls=http://0.0.0.0:2380 - - --advertise-client-urls=http://pd2:2379 - - --advertise-peer-urls=http://pd2:2380 - - --initial-cluster=pd0=http://pd0:2380,pd1=http://pd1:2380,pd2=http://pd2:2380 - - --data-dir=/data/pd2 - - --config=/pd.toml - - --log-file=/logs/pd2.log - tikv: - image: pingcap/tikv:latest - ports: - - target: 20160 - published: 20160 - environment: - - TASK_SLOT={{.Task.Slot}} - volumes: - - ./config/tikv.toml:/tikv.toml:ro - - ./data:/data - - ./logs:/logs - entrypoint: [ "/bin/sh", "-c", "/tikv-server --advertise-addr=$$HOSTNAME:20160 --addr=0.0.0.0:20160 --data-dir=/data/tikv$$TASK_SLOT --pd=pd0:2379,pd1:2379,pd2:2379 --config=/tikv.toml --log-file=/logs/tikv$$TASK_SLOT.log --log-level=info" ] - depends_on: - - "pd0" - - "pd1" - - "pd2" - deploy: - replicas: 3 - restart_policy: - condition: on-failure - - tidb: - image: pingcap/tidb:latest - ports: - - target: 4000 - published: 4000 - - target: 10080 - published: 10080 - environment: - - TASK_SLOT={{.Task.Slot}} - volumes: - - ./config/tidb.toml:/tidb.toml:ro - - ./logs:/logs - entrypoint: [ "/bin/sh", "-c", "/tidb-server --advertise-address=$$HOSTNAME --store=tikv --path=pd0:2379,pd1:2379,pd2:2379 --config=/tidb.toml --log-file=/logs/tidb$$TASK_SLOT.log -L info" ] - depends_on: - - "tikv" - deploy: - replicas: 1 - - tispark-master: - image: pingcap/tispark:latest - command: - - /opt/spark/sbin/start-master.sh - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_MASTER_PORT: 7077 - SPARK_MASTER_WEBUI_PORT: 8080 - ports: - - "7077:7077" - - "8080:8080" - depends_on: - - "tikv" - deploy: - replicas: 1 - tispark-slave: - image: pingcap/tispark:latest - command: - - /opt/spark/sbin/start-slave.sh - - spark://tispark-master:7077 - volumes: - - ./config/spark-defaults.conf:/opt/spark/conf/spark-defaults.conf:ro - environment: - SPARK_WORKER_WEBUI_PORT: 38081 - ports: - - "38081:38081" - depends_on: - - tispark-master - deploy: - replicas: 1 - - tidb-vision: - image: pingcap/tidb-vision:latest - environment: - PD_ENDPOINT: pd0:2379 - ports: - - "8010:8010" - - # monitors - pushgateway: - image: prom/pushgateway:v0.3.1 - command: - - --log.level=error - prometheus: - user: root - image: prom/prometheus:v2.2.1 - command: - - --log.level=error - - --storage.tsdb.path=/data/prometheus - - --config.file=/etc/prometheus/prometheus.yml - ports: - - "9090:9090" - volumes: - - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro - - ./config/pd.rules.yml:/etc/prometheus/pd.rules.yml:ro - - ./config/tikv.rules.yml:/etc/prometheus/tikv.rules.yml:ro - - ./config/tidb.rules.yml:/etc/prometheus/tidb.rules.yml:ro - - ./data:/data - grafana: - image: grafana/grafana:6.0.1 - environment: - GF_LOG_LEVEL: error - GF_PATHS_PROVISIONING: /etc/grafana/provisioning - GF_PATHS_CONFIG: /etc/grafana/grafana.ini - volumes: - - ./config/grafana:/etc/grafana - - ./config/dashboards:/var/lib/grafana/dashboards - ports: - - "3000:3000" diff --git a/docker/tidb/docker/debug/Dockerfile b/docker/tidb/docker/debug/Dockerfile deleted file mode 100644 index 97b5fb2..0000000 --- a/docker/tidb/docker/debug/Dockerfile +++ /dev/null @@ -1,50 +0,0 @@ -FROM centos:7 - -RUN yum update -y && yum install -y \ - curl \ - file \ - gdb \ - git \ - iotop \ - linux-perf \ - mysql \ - net-tools \ - perf \ - perl \ - procps-ng \ - psmisc \ - strace \ - sysstat \ - tree \ - tcpdump \ - unzip \ - vim \ - wget \ - which \ - && yum clean all \ - && rm -rf /var/cache/yum/* - -RUN wget -q http://download.pingcap.org/tidb-latest-linux-amd64.tar.gz \ - && tar xzf tidb-latest-linux-amd64.tar.gz \ - && mv tidb-latest-linux-amd64/bin/* /usr/local/bin/ \ - && rm -rf tidb-latest-linux-amd64.tar.gz tidb-latest-linux-amd64 - -RUN wget https://github.com/brendangregg/FlameGraph/archive/master.zip \ - && unzip master.zip \ - && mv FlameGraph-master /opt/FlameGraph \ - && rm master.zip -ADD run_flamegraph.sh /run_flamegraph.sh - -# used for go pprof -ENV GOLANG_VERSION 1.10 -ENV GOLANG_DOWNLOAD_URL https://golang.org/dl/go$GOLANG_VERSION.linux-amd64.tar.gz -ENV GOLANG_DOWNLOAD_SHA256 b5a64335f1490277b585832d1f6c7f8c6c11206cba5cd3f771dcb87b98ad1a33 -RUN curl -fsSL "$GOLANG_DOWNLOAD_URL" -o golang.tar.gz \ - && echo "$GOLANG_DOWNLOAD_SHA256 golang.tar.gz" | sha256sum -c - \ - && tar -C /usr/local -xzf golang.tar.gz \ - && rm golang.tar.gz -ENV GOPATH /go -ENV GOROOT /usr/local/go -ENV PATH $GOPATH/bin:$GOROOT/bin:$PATH - -ENTRYPOINT ["/bin/bash"] diff --git a/docker/tidb/docker/debug/run_flamegraph.sh b/docker/tidb/docker/debug/run_flamegraph.sh deleted file mode 100755 index e82ac10..0000000 --- a/docker/tidb/docker/debug/run_flamegraph.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/bin/bash - -set -e - -perf record -F 99 -p $1 -g -- sleep 60 -perf script > out.perf -/opt/FlameGraph/stackcollapse-perf.pl out.perf > out.folded -/opt/FlameGraph/flamegraph.pl out.folded > kernel.svg -curl --upload-file ./kernel.svg https://transfer.sh/kernel.svg diff --git a/docker/tidb/pd/Dockerfile b/docker/tidb/pd/Dockerfile deleted file mode 100644 index 96c2f23..0000000 --- a/docker/tidb/pd/Dockerfile +++ /dev/null @@ -1,9 +0,0 @@ -FROM alpine:3.5 - -ADD bin/pd-server /pd-server - -WORKDIR / - -EXPOSE 2379 2380 - -ENTRYPOINT ["/pd-server"] diff --git a/docker/tidb/tidb-binlog/Dockerfile b/docker/tidb/tidb-binlog/Dockerfile deleted file mode 100644 index 6d70a5c..0000000 --- a/docker/tidb/tidb-binlog/Dockerfile +++ /dev/null @@ -1,11 +0,0 @@ -from alpine:3.5 - - ADD bin/pump /pump - - ADD bin/drainer /drainer - - RUN chmod +x /pump /drainer - - WORKDIR / - - EXPOSE 8249 8250 diff --git a/docker/tidb/tidb-vision/Dockerfile b/docker/tidb/tidb-vision/Dockerfile deleted file mode 100644 index 9a5e898..0000000 --- a/docker/tidb/tidb-vision/Dockerfile +++ /dev/null @@ -1,13 +0,0 @@ -FROM node:8 - -ADD tidb-vision /home/node/tidb-vision - -WORKDIR /home/node/tidb-vision - -RUN npm install - -ENV PD_ENDPOINT=localhost:9000 - -EXPOSE 8010 - -CMD ["npm", "start"] diff --git a/docker/tidb/tidb/Dockerfile b/docker/tidb/tidb/Dockerfile deleted file mode 100644 index 410af77..0000000 --- a/docker/tidb/tidb/Dockerfile +++ /dev/null @@ -1,11 +0,0 @@ -from alpine:3.5 - -ADD bin/tidb-server /tidb-server - -RUN chmod +x /tidb-server - -WORKDIR / - -EXPOSE 4000 10080 - -ENTRYPOINT ["/tidb-server"] diff --git a/docker/tidb/tikv/Dockerfile b/docker/tidb/tikv/Dockerfile deleted file mode 100644 index ebb61b5..0000000 --- a/docker/tidb/tikv/Dockerfile +++ /dev/null @@ -1,11 +0,0 @@ -FROM pingcap/alpine-glibc - -ADD bin/tikv-server /tikv-server - -RUN chmod +x /tikv-server - -WORKDIR / - -EXPOSE 20160 - -ENTRYPOINT ["/tikv-server"] diff --git a/docker/tidb/tispark/Dockerfile b/docker/tidb/tispark/Dockerfile deleted file mode 100644 index 52f6d77..0000000 --- a/docker/tidb/tispark/Dockerfile +++ /dev/null @@ -1,40 +0,0 @@ -FROM anapsix/alpine-java:8 - -ENV SPARK_VERSION=2.4.3 \ - HADOOP_VERSION=2.7 \ - TISPARK_PYTHON_VERSION=2.0 \ - SPARK_HOME=/opt/spark \ - SPARK_NO_DAEMONIZE=true \ - SPARK_MASTER_PORT=7077 \ - SPARK_MASTER_HOST=0.0.0.0 \ - SPARK_MASTER_WEBUI_PORT=8080 - -ADD tispark-tests /opt/tispark-tests - -# base image only contains busybox version nohup and ps -# spark scripts needs nohup in coreutils and ps in procps -# and we can use mysql-client to test tidb connection -RUN apk --no-cache add \ - coreutils \ - mysql-client \ - procps \ - python \ - py-pip \ - R - -RUN wget -q https://download.pingcap.org/spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz \ - && tar zxf spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz -C /opt/ \ - && ln -s /opt/spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION} ${SPARK_HOME} \ - && wget -q http://download.pingcap.org/tispark-assembly-latest-linux-amd64.tar.gz \ - && tar zxf ./tispark-assembly-latest-linux-amd64.tar.gz -C /opt/ \ - && cp /opt/assembly/target/tispark-assembly-*.jar ${SPARK_HOME}/jars \ - && wget -q http://download.pingcap.org/tispark-sample-data.tar.gz \ - && tar zxf tispark-sample-data.tar.gz -C ${SPARK_HOME}/data/ \ - && rm -rf /opt/assembly/ spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz tispark-latest-linux-amd64.tar.gz tispark-sample-data.tar.gz - -ADD spark-${SPARK_VERSION}/session.py ${SPARK_HOME}/python/pyspark/sql/ -ADD conf/log4j.properties /opt/spark/conf/log4j.properties - -ENV PYTHONPATH=${SPARK_HOME}/python/lib/py4j-0.10.4-src.zip:${SPARK_HOME}/python:$PYTHONPATH - -WORKDIR ${SPARK_HOME} diff --git a/docker/tidb/tispark/conf/log4j.properties b/docker/tidb/tispark/conf/log4j.properties deleted file mode 100644 index d9d1936..0000000 --- a/docker/tidb/tispark/conf/log4j.properties +++ /dev/null @@ -1,43 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one or more -# contributor license agreements. See the NOTICE file distributed with -# this work for additional information regarding copyright ownership. -# The ASF licenses this file to You under the Apache License, Version 2.0 -# (the "License"); you may not use this file except in compliance with -# the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -# Set everything to be logged to the console -log4j.rootCategory=INFO, console -log4j.appender.console=org.apache.log4j.ConsoleAppender -log4j.appender.console.target=System.err -log4j.appender.console.layout=org.apache.log4j.PatternLayout -log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n - -# Set the default spark-shell log level to WARN. When running the spark-shell, the -# log level for this class is used to overwrite the root logger's log level, so that -# the user can have different defaults for the shell and regular Spark apps. -log4j.logger.org.apache.spark.repl.Main=WARN - -# Settings to quiet third party logs that are too verbose -log4j.logger.org.spark_project.jetty=WARN -log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR -log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO -log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO -log4j.logger.org.apache.parquet=ERROR -log4j.logger.parquet=ERROR - -# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support -log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL -log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR - -# tispark disable "WARN ObjectStore:568 - Failed to get database" -log4j.logger.org.apache.hadoop.hive.metastore.ObjectStore=ERROR diff --git a/docker/tidb/tispark/spark-2.3.3/session.py b/docker/tidb/tispark/spark-2.3.3/session.py deleted file mode 100644 index b29de16..0000000 --- a/docker/tidb/tispark/spark-2.3.3/session.py +++ /dev/null @@ -1,811 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one or more -# contributor license agreements. See the NOTICE file distributed with -# this work for additional information regarding copyright ownership. -# The ASF licenses this file to You under the Apache License, Version 2.0 -# (the "License"); you may not use this file except in compliance with -# the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from __future__ import print_function -import sys -import warnings -from functools import reduce -from threading import RLock - -if sys.version >= '3': - basestring = unicode = str - xrange = range -else: - from itertools import izip as zip, imap as map - -from pyspark import since -from pyspark.rdd import RDD, ignore_unicode_prefix -from pyspark.sql.conf import RuntimeConfig -from pyspark.sql.dataframe import DataFrame -from pyspark.sql.readwriter import DataFrameReader -from pyspark.sql.streaming import DataStreamReader -from pyspark.sql.types import Row, DataType, StringType, StructType, TimestampType, \ - _make_type_verifier, _infer_schema, _has_nulltype, _merge_type, _create_converter, \ - _parse_datatype_string -from pyspark.sql.utils import install_exception_handler - -__all__ = ["SparkSession"] - - -def _monkey_patch_RDD(sparkSession): - def toDF(self, schema=None, sampleRatio=None): - """ - Converts current :class:`RDD` into a :class:`DataFrame` - - This is a shorthand for ``spark.createDataFrame(rdd, schema, sampleRatio)`` - - :param schema: a :class:`pyspark.sql.types.StructType` or list of names of columns - :param samplingRatio: the sample ratio of rows used for inferring - :return: a DataFrame - - >>> rdd.toDF().collect() - [Row(name=u'Alice', age=1)] - """ - return sparkSession.createDataFrame(self, schema, sampleRatio) - - RDD.toDF = toDF - - -class SparkSession(object): - """The entry point to programming Spark with the Dataset and DataFrame API. - - A SparkSession can be used create :class:`DataFrame`, register :class:`DataFrame` as - tables, execute SQL over tables, cache tables, and read parquet files. - To create a SparkSession, use the following builder pattern: - - >>> spark = SparkSession.builder \\ - ... .master("local") \\ - ... .appName("Word Count") \\ - ... .config("spark.some.config.option", "some-value") \\ - ... .getOrCreate() - - .. autoattribute:: builder - :annotation: - """ - - class Builder(object): - """Builder for :class:`SparkSession`. - """ - - _lock = RLock() - _options = {} - - @since(2.0) - def config(self, key=None, value=None, conf=None): - """Sets a config option. Options set using this method are automatically propagated to - both :class:`SparkConf` and :class:`SparkSession`'s own configuration. - - For an existing SparkConf, use `conf` parameter. - - >>> from pyspark.conf import SparkConf - >>> SparkSession.builder.config(conf=SparkConf()) - >> SparkSession.builder.config("spark.some.config.option", "some-value") - >> s1 = SparkSession.builder.config("k1", "v1").getOrCreate() - >>> s1.conf.get("k1") == s1.sparkContext.getConf().get("k1") == "v1" - True - - In case an existing SparkSession is returned, the config options specified - in this builder will be applied to the existing SparkSession. - - >>> s2 = SparkSession.builder.config("k2", "v2").getOrCreate() - >>> s1.conf.get("k1") == s2.conf.get("k1") - True - >>> s1.conf.get("k2") == s2.conf.get("k2") - True - """ - with self._lock: - from pyspark.context import SparkContext - from pyspark.conf import SparkConf - session = SparkSession._instantiatedSession - if session is None or session._sc._jsc is None: - sparkConf = SparkConf() - for key, value in self._options.items(): - sparkConf.set(key, value) - sc = SparkContext.getOrCreate(sparkConf) - # This SparkContext may be an existing one. - for key, value in self._options.items(): - # we need to propagate the confs - # before we create the SparkSession. Otherwise, confs like - # warehouse path and metastore url will not be set correctly ( - # these confs cannot be changed once the SparkSession is created). - sc._conf.set(key, value) - session = SparkSession(sc) - for key, value in self._options.items(): - session._jsparkSession.sessionState().conf().setConfString(key, value) - for key, value in self._options.items(): - session.sparkContext._conf.set(key, value) - return session - - builder = Builder() - """A class attribute having a :class:`Builder` to construct :class:`SparkSession` instances""" - - _instantiatedSession = None - - @ignore_unicode_prefix - def __init__(self, sparkContext, jsparkSession=None): - """Creates a new SparkSession. - - >>> from datetime import datetime - >>> spark = SparkSession(sc) - >>> allTypes = sc.parallelize([Row(i=1, s="string", d=1.0, l=1, - ... b=True, list=[1, 2, 3], dict={"s": 0}, row=Row(a=1), - ... time=datetime(2014, 8, 1, 14, 1, 5))]) - >>> df = allTypes.toDF() - >>> df.createOrReplaceTempView("allTypes") - >>> spark.sql('select i+1, d+1, not b, list[1], dict["s"], time, row.a ' - ... 'from allTypes where b and i > 0').collect() - [Row((i + CAST(1 AS BIGINT))=2, (d + CAST(1 AS DOUBLE))=2.0, (NOT b)=False, list[1]=2, \ - dict[s]=0, time=datetime.datetime(2014, 8, 1, 14, 1, 5), a=1)] - >>> df.rdd.map(lambda x: (x.i, x.s, x.d, x.l, x.b, x.time, x.row.a, x.list)).collect() - [(1, u'string', 1.0, 1, True, datetime.datetime(2014, 8, 1, 14, 1, 5), 1, [1, 2, 3])] - """ - from pyspark.sql.context import SQLContext - self._sc = sparkContext - self._jsc = self._sc._jsc - self._jvm = self._sc._jvm - if jsparkSession is None: - jsparkSession = self._jvm.SparkSession.builder().getOrCreate() - self._jsparkSession = jsparkSession - self._jwrapped = self._jsparkSession.sqlContext() - self._wrapped = SQLContext(self._sc, self, self._jwrapped) - _monkey_patch_RDD(self) - install_exception_handler() - # If we had an instantiated SparkSession attached with a SparkContext - # which is stopped now, we need to renew the instantiated SparkSession. - # Otherwise, we will use invalid SparkSession when we call Builder.getOrCreate. - if SparkSession._instantiatedSession is None \ - or SparkSession._instantiatedSession._sc._jsc is None: - SparkSession._instantiatedSession = self - - def _repr_html_(self): - return """ -
-

SparkSession - {catalogImplementation}

- {sc_HTML} -
- """.format( - catalogImplementation=self.conf.get("spark.sql.catalogImplementation"), - sc_HTML=self.sparkContext._repr_html_() - ) - - @since(2.0) - def newSession(self): - """ - Returns a new SparkSession as new session, that has separate SQLConf, - registered temporary views and UDFs, but shared SparkContext and - table cache. - """ - return self.__class__(self._sc, self._jsparkSession.newSession()) - - @property - @since(2.0) - def sparkContext(self): - """Returns the underlying :class:`SparkContext`.""" - return self._sc - - @property - @since(2.0) - def version(self): - """The version of Spark on which this application is running.""" - return self._jsparkSession.version() - - @property - @since(2.0) - def conf(self): - """Runtime configuration interface for Spark. - - This is the interface through which the user can get and set all Spark and Hadoop - configurations that are relevant to Spark SQL. When getting the value of a config, - this defaults to the value set in the underlying :class:`SparkContext`, if any. - """ - if not hasattr(self, "_conf"): - self._conf = RuntimeConfig(self._jsparkSession.conf()) - return self._conf - - @property - @since(2.0) - def catalog(self): - """Interface through which the user may create, drop, alter or query underlying - databases, tables, functions etc. - - :return: :class:`Catalog` - """ - from pyspark.sql.catalog import Catalog - if not hasattr(self, "_catalog"): - self._catalog = Catalog(self) - return self._catalog - - @property - @since(2.0) - def udf(self): - """Returns a :class:`UDFRegistration` for UDF registration. - - :return: :class:`UDFRegistration` - """ - from pyspark.sql.udf import UDFRegistration - return UDFRegistration(self) - - @since(2.0) - def range(self, start, end=None, step=1, numPartitions=None): - """ - Create a :class:`DataFrame` with single :class:`pyspark.sql.types.LongType` column named - ``id``, containing elements in a range from ``start`` to ``end`` (exclusive) with - step value ``step``. - - :param start: the start value - :param end: the end value (exclusive) - :param step: the incremental step (default: 1) - :param numPartitions: the number of partitions of the DataFrame - :return: :class:`DataFrame` - - >>> spark.range(1, 7, 2).collect() - [Row(id=1), Row(id=3), Row(id=5)] - - If only one argument is specified, it will be used as the end value. - - >>> spark.range(3).collect() - [Row(id=0), Row(id=1), Row(id=2)] - """ - if numPartitions is None: - numPartitions = self._sc.defaultParallelism - - if end is None: - jdf = self._jsparkSession.range(0, int(start), int(step), int(numPartitions)) - else: - jdf = self._jsparkSession.range(int(start), int(end), int(step), int(numPartitions)) - - return DataFrame(jdf, self._wrapped) - - def _inferSchemaFromList(self, data, names=None): - """ - Infer schema from list of Row or tuple. - - :param data: list of Row or tuple - :param names: list of column names - :return: :class:`pyspark.sql.types.StructType` - """ - if not data: - raise ValueError("can not infer schema from empty dataset") - first = data[0] - if type(first) is dict: - warnings.warn("inferring schema from dict is deprecated," - "please use pyspark.sql.Row instead") - schema = reduce(_merge_type, (_infer_schema(row, names) for row in data)) - if _has_nulltype(schema): - raise ValueError("Some of types cannot be determined after inferring") - return schema - - def _inferSchema(self, rdd, samplingRatio=None, names=None): - """ - Infer schema from an RDD of Row or tuple. - - :param rdd: an RDD of Row or tuple - :param samplingRatio: sampling ratio, or no sampling (default) - :return: :class:`pyspark.sql.types.StructType` - """ - first = rdd.first() - if not first: - raise ValueError("The first row in RDD is empty, " - "can not infer schema") - if type(first) is dict: - warnings.warn("Using RDD of dict to inferSchema is deprecated. " - "Use pyspark.sql.Row instead") - - if samplingRatio is None: - schema = _infer_schema(first, names=names) - if _has_nulltype(schema): - for row in rdd.take(100)[1:]: - schema = _merge_type(schema, _infer_schema(row, names=names)) - if not _has_nulltype(schema): - break - else: - raise ValueError("Some of types cannot be determined by the " - "first 100 rows, please try again with sampling") - else: - if samplingRatio < 0.99: - rdd = rdd.sample(False, float(samplingRatio)) - schema = rdd.map(lambda row: _infer_schema(row, names)).reduce(_merge_type) - return schema - - def _createFromRDD(self, rdd, schema, samplingRatio): - """ - Create an RDD for DataFrame from an existing RDD, returns the RDD and schema. - """ - if schema is None or isinstance(schema, (list, tuple)): - struct = self._inferSchema(rdd, samplingRatio, names=schema) - converter = _create_converter(struct) - rdd = rdd.map(converter) - if isinstance(schema, (list, tuple)): - for i, name in enumerate(schema): - struct.fields[i].name = name - struct.names[i] = name - schema = struct - - elif not isinstance(schema, StructType): - raise TypeError("schema should be StructType or list or None, but got: %s" % schema) - - # convert python objects to sql data - rdd = rdd.map(schema.toInternal) - return rdd, schema - - def _createFromLocal(self, data, schema): - """ - Create an RDD for DataFrame from a list or pandas.DataFrame, returns - the RDD and schema. - """ - # make sure data could consumed multiple times - if not isinstance(data, list): - data = list(data) - - if schema is None or isinstance(schema, (list, tuple)): - struct = self._inferSchemaFromList(data, names=schema) - converter = _create_converter(struct) - data = map(converter, data) - if isinstance(schema, (list, tuple)): - for i, name in enumerate(schema): - struct.fields[i].name = name - struct.names[i] = name - schema = struct - - elif not isinstance(schema, StructType): - raise TypeError("schema should be StructType or list or None, but got: %s" % schema) - - # convert python objects to sql data - data = [schema.toInternal(row) for row in data] - return self._sc.parallelize(data), schema - - def _get_numpy_record_dtype(self, rec): - """ - Used when converting a pandas.DataFrame to Spark using to_records(), this will correct - the dtypes of fields in a record so they can be properly loaded into Spark. - :param rec: a numpy record to check field dtypes - :return corrected dtype for a numpy.record or None if no correction needed - """ - import numpy as np - cur_dtypes = rec.dtype - col_names = cur_dtypes.names - record_type_list = [] - has_rec_fix = False - for i in xrange(len(cur_dtypes)): - curr_type = cur_dtypes[i] - # If type is a datetime64 timestamp, convert to microseconds - # NOTE: if dtype is datetime[ns] then np.record.tolist() will output values as longs, - # conversion from [us] or lower will lead to py datetime objects, see SPARK-22417 - if curr_type == np.dtype('datetime64[ns]'): - curr_type = 'datetime64[us]' - has_rec_fix = True - record_type_list.append((str(col_names[i]), curr_type)) - return np.dtype(record_type_list) if has_rec_fix else None - - def _convert_from_pandas(self, pdf, schema, timezone): - """ - Convert a pandas.DataFrame to list of records that can be used to make a DataFrame - :return list of records - """ - if timezone is not None: - from pyspark.sql.types import _check_series_convert_timestamps_tz_local - copied = False - if isinstance(schema, StructType): - for field in schema: - # TODO: handle nested timestamps, such as ArrayType(TimestampType())? - if isinstance(field.dataType, TimestampType): - s = _check_series_convert_timestamps_tz_local(pdf[field.name], timezone) - if s is not pdf[field.name]: - if not copied: - # Copy once if the series is modified to prevent the original - # Pandas DataFrame from being updated - pdf = pdf.copy() - copied = True - pdf[field.name] = s - else: - for column, series in pdf.iteritems(): - s = _check_series_convert_timestamps_tz_local(series, timezone) - if s is not series: - if not copied: - # Copy once if the series is modified to prevent the original - # Pandas DataFrame from being updated - pdf = pdf.copy() - copied = True - pdf[column] = s - - # Convert pandas.DataFrame to list of numpy records - np_records = pdf.to_records(index=False) - - # Check if any columns need to be fixed for Spark to infer properly - if len(np_records) > 0: - record_dtype = self._get_numpy_record_dtype(np_records[0]) - if record_dtype is not None: - return [r.astype(record_dtype).tolist() for r in np_records] - - # Convert list of numpy records to python lists - return [r.tolist() for r in np_records] - - def _create_from_pandas_with_arrow(self, pdf, schema, timezone): - """ - Create a DataFrame from a given pandas.DataFrame by slicing it into partitions, converting - to Arrow data, then sending to the JVM to parallelize. If a schema is passed in, the - data types will be used to coerce the data in Pandas to Arrow conversion. - """ - from pyspark.serializers import ArrowSerializer, _create_batch - from pyspark.sql.types import from_arrow_schema, to_arrow_type, TimestampType - from pyspark.sql.utils import require_minimum_pandas_version, \ - require_minimum_pyarrow_version - - require_minimum_pandas_version() - require_minimum_pyarrow_version() - - from pandas.api.types import is_datetime64_dtype, is_datetime64tz_dtype - - # Determine arrow types to coerce data when creating batches - if isinstance(schema, StructType): - arrow_types = [to_arrow_type(f.dataType) for f in schema.fields] - elif isinstance(schema, DataType): - raise ValueError("Single data type %s is not supported with Arrow" % str(schema)) - else: - # Any timestamps must be coerced to be compatible with Spark - arrow_types = [to_arrow_type(TimestampType()) - if is_datetime64_dtype(t) or is_datetime64tz_dtype(t) else None - for t in pdf.dtypes] - - # Slice the DataFrame to be batched - step = -(-len(pdf) // self.sparkContext.defaultParallelism) # round int up - pdf_slices = (pdf[start:start + step] for start in xrange(0, len(pdf), step)) - - # Create Arrow record batches - batches = [_create_batch([(c, t) for (_, c), t in zip(pdf_slice.iteritems(), arrow_types)], - timezone) - for pdf_slice in pdf_slices] - - # Create the Spark schema from the first Arrow batch (always at least 1 batch after slicing) - if isinstance(schema, (list, tuple)): - struct = from_arrow_schema(batches[0].schema) - for i, name in enumerate(schema): - struct.fields[i].name = name - struct.names[i] = name - schema = struct - - # Create the Spark DataFrame directly from the Arrow data and schema - jrdd = self._sc._serialize_to_jvm(batches, len(batches), ArrowSerializer()) - jdf = self._jvm.PythonSQLUtils.arrowPayloadToDataFrame( - jrdd, schema.json(), self._wrapped._jsqlContext) - df = DataFrame(jdf, self._wrapped) - df._schema = schema - return df - - @since(2.0) - @ignore_unicode_prefix - def createDataFrame(self, data, schema=None, samplingRatio=None, verifySchema=True): - """ - Creates a :class:`DataFrame` from an :class:`RDD`, a list or a :class:`pandas.DataFrame`. - - When ``schema`` is a list of column names, the type of each column - will be inferred from ``data``. - - When ``schema`` is ``None``, it will try to infer the schema (column names and types) - from ``data``, which should be an RDD of :class:`Row`, - or :class:`namedtuple`, or :class:`dict`. - - When ``schema`` is :class:`pyspark.sql.types.DataType` or a datatype string, it must match - the real data, or an exception will be thrown at runtime. If the given schema is not - :class:`pyspark.sql.types.StructType`, it will be wrapped into a - :class:`pyspark.sql.types.StructType` as its only field, and the field name will be "value", - each record will also be wrapped into a tuple, which can be converted to row later. - - If schema inference is needed, ``samplingRatio`` is used to determined the ratio of - rows used for schema inference. The first row will be used if ``samplingRatio`` is ``None``. - - :param data: an RDD of any kind of SQL data representation(e.g. row, tuple, int, boolean, - etc.), or :class:`list`, or :class:`pandas.DataFrame`. - :param schema: a :class:`pyspark.sql.types.DataType` or a datatype string or a list of - column names, default is ``None``. The data type string format equals to - :class:`pyspark.sql.types.DataType.simpleString`, except that top level struct type can - omit the ``struct<>`` and atomic types use ``typeName()`` as their format, e.g. use - ``byte`` instead of ``tinyint`` for :class:`pyspark.sql.types.ByteType`. We can also use - ``int`` as a short name for ``IntegerType``. - :param samplingRatio: the sample ratio of rows used for inferring - :param verifySchema: verify data types of every row against schema. - :return: :class:`DataFrame` - - .. versionchanged:: 2.1 - Added verifySchema. - - >>> l = [('Alice', 1)] - >>> spark.createDataFrame(l).collect() - [Row(_1=u'Alice', _2=1)] - >>> spark.createDataFrame(l, ['name', 'age']).collect() - [Row(name=u'Alice', age=1)] - - >>> d = [{'name': 'Alice', 'age': 1}] - >>> spark.createDataFrame(d).collect() - [Row(age=1, name=u'Alice')] - - >>> rdd = sc.parallelize(l) - >>> spark.createDataFrame(rdd).collect() - [Row(_1=u'Alice', _2=1)] - >>> df = spark.createDataFrame(rdd, ['name', 'age']) - >>> df.collect() - [Row(name=u'Alice', age=1)] - - >>> from pyspark.sql import Row - >>> Person = Row('name', 'age') - >>> person = rdd.map(lambda r: Person(*r)) - >>> df2 = spark.createDataFrame(person) - >>> df2.collect() - [Row(name=u'Alice', age=1)] - - >>> from pyspark.sql.types import * - >>> schema = StructType([ - ... StructField("name", StringType(), True), - ... StructField("age", IntegerType(), True)]) - >>> df3 = spark.createDataFrame(rdd, schema) - >>> df3.collect() - [Row(name=u'Alice', age=1)] - - >>> spark.createDataFrame(df.toPandas()).collect() # doctest: +SKIP - [Row(name=u'Alice', age=1)] - >>> spark.createDataFrame(pandas.DataFrame([[1, 2]])).collect() # doctest: +SKIP - [Row(0=1, 1=2)] - - >>> spark.createDataFrame(rdd, "a: string, b: int").collect() - [Row(a=u'Alice', b=1)] - >>> rdd = rdd.map(lambda row: row[1]) - >>> spark.createDataFrame(rdd, "int").collect() - [Row(value=1)] - >>> spark.createDataFrame(rdd, "boolean").collect() # doctest: +IGNORE_EXCEPTION_DETAIL - Traceback (most recent call last): - ... - Py4JJavaError: ... - """ - if isinstance(data, DataFrame): - raise TypeError("data is already a DataFrame") - - if isinstance(schema, basestring): - schema = _parse_datatype_string(schema) - elif isinstance(schema, (list, tuple)): - # Must re-encode any unicode strings to be consistent with StructField names - schema = [x.encode('utf-8') if not isinstance(x, str) else x for x in schema] - - try: - import pandas - has_pandas = True - except Exception: - has_pandas = False - if has_pandas and isinstance(data, pandas.DataFrame): - from pyspark.sql.utils import require_minimum_pandas_version - require_minimum_pandas_version() - - if self.conf.get("spark.sql.execution.pandas.respectSessionTimeZone").lower() \ - == "true": - timezone = self.conf.get("spark.sql.session.timeZone") - else: - timezone = None - - # If no schema supplied by user then get the names of columns only - if schema is None: - schema = [str(x) if not isinstance(x, basestring) else - (x.encode('utf-8') if not isinstance(x, str) else x) - for x in data.columns] - - if self.conf.get("spark.sql.execution.arrow.enabled", "false").lower() == "true" \ - and len(data) > 0: - try: - return self._create_from_pandas_with_arrow(data, schema, timezone) - except Exception as e: - warnings.warn("Arrow will not be used in createDataFrame: %s" % str(e)) - # Fallback to create DataFrame without arrow if raise some exception - data = self._convert_from_pandas(data, schema, timezone) - - if isinstance(schema, StructType): - verify_func = _make_type_verifier(schema) if verifySchema else lambda _: True - - def prepare(obj): - verify_func(obj) - return obj - elif isinstance(schema, DataType): - dataType = schema - schema = StructType().add("value", schema) - - verify_func = _make_type_verifier( - dataType, name="field value") if verifySchema else lambda _: True - - def prepare(obj): - verify_func(obj) - return obj, - else: - prepare = lambda obj: obj - - if isinstance(data, RDD): - rdd, schema = self._createFromRDD(data.map(prepare), schema, samplingRatio) - else: - rdd, schema = self._createFromLocal(map(prepare, data), schema) - jrdd = self._jvm.SerDeUtil.toJavaArray(rdd._to_java_object_rdd()) - jdf = self._jsparkSession.applySchemaToPythonRDD(jrdd.rdd(), schema.json()) - df = DataFrame(jdf, self._wrapped) - df._schema = schema - return df - - @ignore_unicode_prefix - @since(2.0) - def sql(self, sqlQuery): - """Returns a :class:`DataFrame` representing the result of the given query. - - :return: :class:`DataFrame` - - >>> df.createOrReplaceTempView("table1") - >>> df2 = spark.sql("SELECT field1 AS f1, field2 as f2 from table1") - >>> df2.collect() - [Row(f1=1, f2=u'row1'), Row(f1=2, f2=u'row2'), Row(f1=3, f2=u'row3')] - """ - return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped) - - @since(2.0) - def table(self, tableName): - """Returns the specified table as a :class:`DataFrame`. - - :return: :class:`DataFrame` - - >>> df.createOrReplaceTempView("table1") - >>> df2 = spark.table("table1") - >>> sorted(df.collect()) == sorted(df2.collect()) - True - """ - return DataFrame(self._jsparkSession.table(tableName), self._wrapped) - - @property - @since(2.0) - def read(self): - """ - Returns a :class:`DataFrameReader` that can be used to read data - in as a :class:`DataFrame`. - - :return: :class:`DataFrameReader` - """ - return DataFrameReader(self._wrapped) - - @property - @since(2.0) - def readStream(self): - """ - Returns a :class:`DataStreamReader` that can be used to read data streams - as a streaming :class:`DataFrame`. - - .. note:: Evolving. - - :return: :class:`DataStreamReader` - """ - return DataStreamReader(self._wrapped) - - @property - @since(2.0) - def streams(self): - """Returns a :class:`StreamingQueryManager` that allows managing all the - :class:`StreamingQuery` StreamingQueries active on `this` context. - - .. note:: Evolving. - - :return: :class:`StreamingQueryManager` - """ - from pyspark.sql.streaming import StreamingQueryManager - return StreamingQueryManager(self._jsparkSession.streams()) - - @since(2.0) - def stop(self): - """Stop the underlying :class:`SparkContext`. - """ - self._sc.stop() - SparkSession._instantiatedSession = None - - @since(2.0) - def __enter__(self): - """ - Enable 'with SparkSession.builder.(...).getOrCreate() as session: app' syntax. - """ - return self - - @since(2.0) - def __exit__(self, exc_type, exc_val, exc_tb): - """ - Enable 'with SparkSession.builder.(...).getOrCreate() as session: app' syntax. - - Specifically stop the SparkSession on exit of the with block. - """ - self.stop() - - -def _test(): - import os - import doctest - from pyspark.context import SparkContext - from pyspark.sql import Row - import pyspark.sql.session - - os.chdir(os.environ["SPARK_HOME"]) - - globs = pyspark.sql.session.__dict__.copy() - sc = SparkContext('local[4]', 'PythonTest') - globs['sc'] = sc - globs['spark'] = SparkSession(sc) - globs['rdd'] = rdd = sc.parallelize( - [Row(field1=1, field2="row1"), - Row(field1=2, field2="row2"), - Row(field1=3, field2="row3")]) - globs['df'] = rdd.toDF() - (failure_count, test_count) = doctest.testmod( - pyspark.sql.session, globs=globs, - optionflags=doctest.ELLIPSIS | doctest.NORMALIZE_WHITESPACE) - globs['sc'].stop() - if failure_count: - exit(-1) - -if __name__ == "__main__": - _test() - diff --git a/docker/tidb/tispark/spark-2.4.3/session.py b/docker/tidb/tispark/spark-2.4.3/session.py deleted file mode 100644 index d60a4c5..0000000 --- a/docker/tidb/tispark/spark-2.4.3/session.py +++ /dev/null @@ -1,872 +0,0 @@ -# -# Licensed to the Apache Software Foundation (ASF) under one or more -# contributor license agreements. See the NOTICE file distributed with -# this work for additional information regarding copyright ownership. -# The ASF licenses this file to You under the Apache License, Version 2.0 -# (the "License"); you may not use this file except in compliance with -# the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from __future__ import print_function -import sys -import warnings -from functools import reduce -from threading import RLock - -if sys.version >= '3': - basestring = unicode = str - xrange = range -else: - from itertools import izip as zip, imap as map - -from pyspark import since -from pyspark.rdd import RDD, ignore_unicode_prefix -from pyspark.sql.conf import RuntimeConfig -from pyspark.sql.dataframe import DataFrame -from pyspark.sql.readwriter import DataFrameReader -from pyspark.sql.streaming import DataStreamReader -from pyspark.sql.types import Row, DataType, StringType, StructType, TimestampType, \ - _make_type_verifier, _infer_schema, _has_nulltype, _merge_type, _create_converter, \ - _parse_datatype_string -from pyspark.sql.utils import install_exception_handler - -__all__ = ["SparkSession"] - - -def _monkey_patch_RDD(sparkSession): - def toDF(self, schema=None, sampleRatio=None): - """ - Converts current :class:`RDD` into a :class:`DataFrame` - - This is a shorthand for ``spark.createDataFrame(rdd, schema, sampleRatio)`` - - :param schema: a :class:`pyspark.sql.types.StructType` or list of names of columns - :param samplingRatio: the sample ratio of rows used for inferring - :return: a DataFrame - - >>> rdd.toDF().collect() - [Row(name=u'Alice', age=1)] - """ - return sparkSession.createDataFrame(self, schema, sampleRatio) - - RDD.toDF = toDF - - -class SparkSession(object): - """The entry point to programming Spark with the Dataset and DataFrame API. - - A SparkSession can be used create :class:`DataFrame`, register :class:`DataFrame` as - tables, execute SQL over tables, cache tables, and read parquet files. - To create a SparkSession, use the following builder pattern: - - >>> spark = SparkSession.builder \\ - ... .master("local") \\ - ... .appName("Word Count") \\ - ... .config("spark.some.config.option", "some-value") \\ - ... .getOrCreate() - - .. autoattribute:: builder - :annotation: - """ - - class Builder(object): - """Builder for :class:`SparkSession`. - """ - - _lock = RLock() - _options = {} - - @since(2.0) - def config(self, key=None, value=None, conf=None): - """Sets a config option. Options set using this method are automatically propagated to - both :class:`SparkConf` and :class:`SparkSession`'s own configuration. - - For an existing SparkConf, use `conf` parameter. - - >>> from pyspark.conf import SparkConf - >>> SparkSession.builder.config(conf=SparkConf()) - >> SparkSession.builder.config("spark.some.config.option", "some-value") - >> s1 = SparkSession.builder.config("k1", "v1").getOrCreate() - >>> s1.conf.get("k1") == s1.sparkContext.getConf().get("k1") == "v1" - True - - In case an existing SparkSession is returned, the config options specified - in this builder will be applied to the existing SparkSession. - - >>> s2 = SparkSession.builder.config("k2", "v2").getOrCreate() - >>> s1.conf.get("k1") == s2.conf.get("k1") - True - >>> s1.conf.get("k2") == s2.conf.get("k2") - True - """ - with self._lock: - from pyspark.context import SparkContext - from pyspark.conf import SparkConf - session = SparkSession._instantiatedSession - if session is None or session._sc._jsc is None: - sparkConf = SparkConf() - for key, value in self._options.items(): - sparkConf.set(key, value) - sc = SparkContext.getOrCreate(sparkConf) - # This SparkContext may be an existing one. - for key, value in self._options.items(): - # we need to propagate the confs - # before we create the SparkSession. Otherwise, confs like - # warehouse path and metastore url will not be set correctly ( - # these confs cannot be changed once the SparkSession is created). - sc._conf.set(key, value) - session = SparkSession(sc) - for key, value in self._options.items(): - session._jsparkSession.sessionState().conf().setConfString(key, value) - for key, value in self._options.items(): - session.sparkContext._conf.set(key, value) - return session - - builder = Builder() - """A class attribute having a :class:`Builder` to construct :class:`SparkSession` instances""" - - _instantiatedSession = None - - @ignore_unicode_prefix - def __init__(self, sparkContext, jsparkSession=None): - """Creates a new SparkSession. - - >>> from datetime import datetime - >>> spark = SparkSession(sc) - >>> allTypes = sc.parallelize([Row(i=1, s="string", d=1.0, l=1, - ... b=True, list=[1, 2, 3], dict={"s": 0}, row=Row(a=1), - ... time=datetime(2014, 8, 1, 14, 1, 5))]) - >>> df = allTypes.toDF() - >>> df.createOrReplaceTempView("allTypes") - >>> spark.sql('select i+1, d+1, not b, list[1], dict["s"], time, row.a ' - ... 'from allTypes where b and i > 0').collect() - [Row((i + CAST(1 AS BIGINT))=2, (d + CAST(1 AS DOUBLE))=2.0, (NOT b)=False, list[1]=2, \ - dict[s]=0, time=datetime.datetime(2014, 8, 1, 14, 1, 5), a=1)] - >>> df.rdd.map(lambda x: (x.i, x.s, x.d, x.l, x.b, x.time, x.row.a, x.list)).collect() - [(1, u'string', 1.0, 1, True, datetime.datetime(2014, 8, 1, 14, 1, 5), 1, [1, 2, 3])] - """ - from pyspark.sql.context import SQLContext - self._sc = sparkContext - self._jsc = self._sc._jsc - self._jvm = self._sc._jvm - if jsparkSession is None: - if self._jvm.SparkSession.getDefaultSession().isDefined() \ - and not self._jvm.SparkSession.getDefaultSession().get() \ - .sparkContext().isStopped(): - jsparkSession = self._jvm.SparkSession.getDefaultSession().get() - else: - jsparkSession = self._jvm.SparkSession.builder().getOrCreate() -# jsparkSession = self._jvm.SparkSession(self._jsc.sc()) - self._jsparkSession = jsparkSession - self._jwrapped = self._jsparkSession.sqlContext() - self._wrapped = SQLContext(self._sc, self, self._jwrapped) - _monkey_patch_RDD(self) - install_exception_handler() - # If we had an instantiated SparkSession attached with a SparkContext - # which is stopped now, we need to renew the instantiated SparkSession. - # Otherwise, we will use invalid SparkSession when we call Builder.getOrCreate. - if SparkSession._instantiatedSession is None \ - or SparkSession._instantiatedSession._sc._jsc is None: - SparkSession._instantiatedSession = self - self._jvm.SparkSession.setDefaultSession(self._jsparkSession) - - def _repr_html_(self): - return """ -
-

SparkSession - {catalogImplementation}

- {sc_HTML} -
- """.format( - catalogImplementation=self.conf.get("spark.sql.catalogImplementation"), - sc_HTML=self.sparkContext._repr_html_() - ) - - @since(2.0) - def newSession(self): - """ - Returns a new SparkSession as new session, that has separate SQLConf, - registered temporary views and UDFs, but shared SparkContext and - table cache. - """ - return self.__class__(self._sc, self._jsparkSession.newSession()) - - @property - @since(2.0) - def sparkContext(self): - """Returns the underlying :class:`SparkContext`.""" - return self._sc - - @property - @since(2.0) - def version(self): - """The version of Spark on which this application is running.""" - return self._jsparkSession.version() - - @property - @since(2.0) - def conf(self): - """Runtime configuration interface for Spark. - - This is the interface through which the user can get and set all Spark and Hadoop - configurations that are relevant to Spark SQL. When getting the value of a config, - this defaults to the value set in the underlying :class:`SparkContext`, if any. - """ - if not hasattr(self, "_conf"): - self._conf = RuntimeConfig(self._jsparkSession.conf()) - return self._conf - - @property - @since(2.0) - def catalog(self): - """Interface through which the user may create, drop, alter or query underlying - databases, tables, functions etc. - - :return: :class:`Catalog` - """ - from pyspark.sql.catalog import Catalog - if not hasattr(self, "_catalog"): - self._catalog = Catalog(self) - return self._catalog - - @property - @since(2.0) - def udf(self): - """Returns a :class:`UDFRegistration` for UDF registration. - - :return: :class:`UDFRegistration` - """ - from pyspark.sql.udf import UDFRegistration - return UDFRegistration(self) - - @since(2.0) - def range(self, start, end=None, step=1, numPartitions=None): - """ - Create a :class:`DataFrame` with single :class:`pyspark.sql.types.LongType` column named - ``id``, containing elements in a range from ``start`` to ``end`` (exclusive) with - step value ``step``. - - :param start: the start value - :param end: the end value (exclusive) - :param step: the incremental step (default: 1) - :param numPartitions: the number of partitions of the DataFrame - :return: :class:`DataFrame` - - >>> spark.range(1, 7, 2).collect() - [Row(id=1), Row(id=3), Row(id=5)] - - If only one argument is specified, it will be used as the end value. - - >>> spark.range(3).collect() - [Row(id=0), Row(id=1), Row(id=2)] - """ - if numPartitions is None: - numPartitions = self._sc.defaultParallelism - - if end is None: - jdf = self._jsparkSession.range(0, int(start), int(step), int(numPartitions)) - else: - jdf = self._jsparkSession.range(int(start), int(end), int(step), int(numPartitions)) - - return DataFrame(jdf, self._wrapped) - - def _inferSchemaFromList(self, data, names=None): - """ - Infer schema from list of Row or tuple. - - :param data: list of Row or tuple - :param names: list of column names - :return: :class:`pyspark.sql.types.StructType` - """ - if not data: - raise ValueError("can not infer schema from empty dataset") - first = data[0] - if type(first) is dict: - warnings.warn("inferring schema from dict is deprecated," - "please use pyspark.sql.Row instead") - schema = reduce(_merge_type, (_infer_schema(row, names) for row in data)) - if _has_nulltype(schema): - raise ValueError("Some of types cannot be determined after inferring") - return schema - - def _inferSchema(self, rdd, samplingRatio=None, names=None): - """ - Infer schema from an RDD of Row or tuple. - - :param rdd: an RDD of Row or tuple - :param samplingRatio: sampling ratio, or no sampling (default) - :return: :class:`pyspark.sql.types.StructType` - """ - first = rdd.first() - if not first: - raise ValueError("The first row in RDD is empty, " - "can not infer schema") - if type(first) is dict: - warnings.warn("Using RDD of dict to inferSchema is deprecated. " - "Use pyspark.sql.Row instead") - - if samplingRatio is None: - schema = _infer_schema(first, names=names) - if _has_nulltype(schema): - for row in rdd.take(100)[1:]: - schema = _merge_type(schema, _infer_schema(row, names=names)) - if not _has_nulltype(schema): - break - else: - raise ValueError("Some of types cannot be determined by the " - "first 100 rows, please try again with sampling") - else: - if samplingRatio < 0.99: - rdd = rdd.sample(False, float(samplingRatio)) - schema = rdd.map(lambda row: _infer_schema(row, names)).reduce(_merge_type) - return schema - - def _createFromRDD(self, rdd, schema, samplingRatio): - """ - Create an RDD for DataFrame from an existing RDD, returns the RDD and schema. - """ - if schema is None or isinstance(schema, (list, tuple)): - struct = self._inferSchema(rdd, samplingRatio, names=schema) - converter = _create_converter(struct) - rdd = rdd.map(converter) - if isinstance(schema, (list, tuple)): - for i, name in enumerate(schema): - struct.fields[i].name = name - struct.names[i] = name - schema = struct - - elif not isinstance(schema, StructType): - raise TypeError("schema should be StructType or list or None, but got: %s" % schema) - - # convert python objects to sql data - rdd = rdd.map(schema.toInternal) - return rdd, schema - - def _createFromLocal(self, data, schema): - """ - Create an RDD for DataFrame from a list or pandas.DataFrame, returns - the RDD and schema. - """ - # make sure data could consumed multiple times - if not isinstance(data, list): - data = list(data) - - if schema is None or isinstance(schema, (list, tuple)): - struct = self._inferSchemaFromList(data, names=schema) - converter = _create_converter(struct) - data = map(converter, data) - if isinstance(schema, (list, tuple)): - for i, name in enumerate(schema): - struct.fields[i].name = name - struct.names[i] = name - schema = struct - - elif not isinstance(schema, StructType): - raise TypeError("schema should be StructType or list or None, but got: %s" % schema) - - # convert python objects to sql data - data = [schema.toInternal(row) for row in data] - return self._sc.parallelize(data), schema - - def _get_numpy_record_dtype(self, rec): - """ - Used when converting a pandas.DataFrame to Spark using to_records(), this will correct - the dtypes of fields in a record so they can be properly loaded into Spark. - :param rec: a numpy record to check field dtypes - :return corrected dtype for a numpy.record or None if no correction needed - """ - import numpy as np - cur_dtypes = rec.dtype - col_names = cur_dtypes.names - record_type_list = [] - has_rec_fix = False - for i in xrange(len(cur_dtypes)): - curr_type = cur_dtypes[i] - # If type is a datetime64 timestamp, convert to microseconds - # NOTE: if dtype is datetime[ns] then np.record.tolist() will output values as longs, - # conversion from [us] or lower will lead to py datetime objects, see SPARK-22417 - if curr_type == np.dtype('datetime64[ns]'): - curr_type = 'datetime64[us]' - has_rec_fix = True - record_type_list.append((str(col_names[i]), curr_type)) - return np.dtype(record_type_list) if has_rec_fix else None - - def _convert_from_pandas(self, pdf, schema, timezone): - """ - Convert a pandas.DataFrame to list of records that can be used to make a DataFrame - :return list of records - """ - if timezone is not None: - from pyspark.sql.types import _check_series_convert_timestamps_tz_local - copied = False - if isinstance(schema, StructType): - for field in schema: - # TODO: handle nested timestamps, such as ArrayType(TimestampType())? - if isinstance(field.dataType, TimestampType): - s = _check_series_convert_timestamps_tz_local(pdf[field.name], timezone) - if s is not pdf[field.name]: - if not copied: - # Copy once if the series is modified to prevent the original - # Pandas DataFrame from being updated - pdf = pdf.copy() - copied = True - pdf[field.name] = s - else: - for column, series in pdf.iteritems(): - s = _check_series_convert_timestamps_tz_local(series, timezone) - if s is not series: - if not copied: - # Copy once if the series is modified to prevent the original - # Pandas DataFrame from being updated - pdf = pdf.copy() - copied = True - pdf[column] = s - - # Convert pandas.DataFrame to list of numpy records - np_records = pdf.to_records(index=False) - - # Check if any columns need to be fixed for Spark to infer properly - if len(np_records) > 0: - record_dtype = self._get_numpy_record_dtype(np_records[0]) - if record_dtype is not None: - return [r.astype(record_dtype).tolist() for r in np_records] - - # Convert list of numpy records to python lists - return [r.tolist() for r in np_records] - - def _create_from_pandas_with_arrow(self, pdf, schema, timezone): - """ - Create a DataFrame from a given pandas.DataFrame by slicing it into partitions, converting - to Arrow data, then sending to the JVM to parallelize. If a schema is passed in, the - data types will be used to coerce the data in Pandas to Arrow conversion. - """ - from pyspark.serializers import ArrowStreamSerializer, _create_batch - from pyspark.sql.types import from_arrow_schema, to_arrow_type, TimestampType - from pyspark.sql.utils import require_minimum_pandas_version, \ - require_minimum_pyarrow_version - - require_minimum_pandas_version() - require_minimum_pyarrow_version() - - from pandas.api.types import is_datetime64_dtype, is_datetime64tz_dtype - - # Determine arrow types to coerce data when creating batches - if isinstance(schema, StructType): - arrow_types = [to_arrow_type(f.dataType) for f in schema.fields] - elif isinstance(schema, DataType): - raise ValueError("Single data type %s is not supported with Arrow" % str(schema)) - else: - # Any timestamps must be coerced to be compatible with Spark - arrow_types = [to_arrow_type(TimestampType()) - if is_datetime64_dtype(t) or is_datetime64tz_dtype(t) else None - for t in pdf.dtypes] - - # Slice the DataFrame to be batched - step = -(-len(pdf) // self.sparkContext.defaultParallelism) # round int up - pdf_slices = (pdf[start:start + step] for start in xrange(0, len(pdf), step)) - - # Create Arrow record batches - batches = [_create_batch([(c, t) for (_, c), t in zip(pdf_slice.iteritems(), arrow_types)], - timezone) - for pdf_slice in pdf_slices] - - # Create the Spark schema from the first Arrow batch (always at least 1 batch after slicing) - if isinstance(schema, (list, tuple)): - struct = from_arrow_schema(batches[0].schema) - for i, name in enumerate(schema): - struct.fields[i].name = name - struct.names[i] = name - schema = struct - - jsqlContext = self._wrapped._jsqlContext - - def reader_func(temp_filename): - return self._jvm.PythonSQLUtils.readArrowStreamFromFile(jsqlContext, temp_filename) - - def create_RDD_server(): - return self._jvm.ArrowRDDServer(jsqlContext) - - # Create Spark DataFrame from Arrow stream file, using one batch per partition - jrdd = self._sc._serialize_to_jvm(batches, ArrowStreamSerializer(), reader_func, - create_RDD_server) - jdf = self._jvm.PythonSQLUtils.toDataFrame(jrdd, schema.json(), jsqlContext) - df = DataFrame(jdf, self._wrapped) - df._schema = schema - return df - - @staticmethod - def _create_shell_session(): - """ - Initialize a SparkSession for a pyspark shell session. This is called from shell.py - to make error handling simpler without needing to declare local variables in that - script, which would expose those to users. - """ - import py4j - from pyspark.conf import SparkConf - from pyspark.context import SparkContext - try: - # Try to access HiveConf, it will raise exception if Hive is not added - conf = SparkConf() - if conf.get('spark.sql.catalogImplementation', 'hive').lower() == 'hive': - SparkContext._jvm.org.apache.hadoop.hive.conf.HiveConf() - return SparkSession.builder\ - .enableHiveSupport()\ - .getOrCreate() - else: - return SparkSession.builder.getOrCreate() - except (py4j.protocol.Py4JError, TypeError): - if conf.get('spark.sql.catalogImplementation', '').lower() == 'hive': - warnings.warn("Fall back to non-hive support because failing to access HiveConf, " - "please make sure you build spark with hive") - - return SparkSession.builder.getOrCreate() - - @since(2.0) - @ignore_unicode_prefix - def createDataFrame(self, data, schema=None, samplingRatio=None, verifySchema=True): - """ - Creates a :class:`DataFrame` from an :class:`RDD`, a list or a :class:`pandas.DataFrame`. - - When ``schema`` is a list of column names, the type of each column - will be inferred from ``data``. - - When ``schema`` is ``None``, it will try to infer the schema (column names and types) - from ``data``, which should be an RDD of :class:`Row`, - or :class:`namedtuple`, or :class:`dict`. - - When ``schema`` is :class:`pyspark.sql.types.DataType` or a datatype string, it must match - the real data, or an exception will be thrown at runtime. If the given schema is not - :class:`pyspark.sql.types.StructType`, it will be wrapped into a - :class:`pyspark.sql.types.StructType` as its only field, and the field name will be "value", - each record will also be wrapped into a tuple, which can be converted to row later. - - If schema inference is needed, ``samplingRatio`` is used to determined the ratio of - rows used for schema inference. The first row will be used if ``samplingRatio`` is ``None``. - - :param data: an RDD of any kind of SQL data representation(e.g. row, tuple, int, boolean, - etc.), or :class:`list`, or :class:`pandas.DataFrame`. - :param schema: a :class:`pyspark.sql.types.DataType` or a datatype string or a list of - column names, default is ``None``. The data type string format equals to - :class:`pyspark.sql.types.DataType.simpleString`, except that top level struct type can - omit the ``struct<>`` and atomic types use ``typeName()`` as their format, e.g. use - ``byte`` instead of ``tinyint`` for :class:`pyspark.sql.types.ByteType`. We can also use - ``int`` as a short name for ``IntegerType``. - :param samplingRatio: the sample ratio of rows used for inferring - :param verifySchema: verify data types of every row against schema. - :return: :class:`DataFrame` - - .. versionchanged:: 2.1 - Added verifySchema. - - .. note:: Usage with spark.sql.execution.arrow.enabled=True is experimental. - - >>> l = [('Alice', 1)] - >>> spark.createDataFrame(l).collect() - [Row(_1=u'Alice', _2=1)] - >>> spark.createDataFrame(l, ['name', 'age']).collect() - [Row(name=u'Alice', age=1)] - - >>> d = [{'name': 'Alice', 'age': 1}] - >>> spark.createDataFrame(d).collect() - [Row(age=1, name=u'Alice')] - - >>> rdd = sc.parallelize(l) - >>> spark.createDataFrame(rdd).collect() - [Row(_1=u'Alice', _2=1)] - >>> df = spark.createDataFrame(rdd, ['name', 'age']) - >>> df.collect() - [Row(name=u'Alice', age=1)] - - >>> from pyspark.sql import Row - >>> Person = Row('name', 'age') - >>> person = rdd.map(lambda r: Person(*r)) - >>> df2 = spark.createDataFrame(person) - >>> df2.collect() - [Row(name=u'Alice', age=1)] - - >>> from pyspark.sql.types import * - >>> schema = StructType([ - ... StructField("name", StringType(), True), - ... StructField("age", IntegerType(), True)]) - >>> df3 = spark.createDataFrame(rdd, schema) - >>> df3.collect() - [Row(name=u'Alice', age=1)] - - >>> spark.createDataFrame(df.toPandas()).collect() # doctest: +SKIP - [Row(name=u'Alice', age=1)] - >>> spark.createDataFrame(pandas.DataFrame([[1, 2]])).collect() # doctest: +SKIP - [Row(0=1, 1=2)] - - >>> spark.createDataFrame(rdd, "a: string, b: int").collect() - [Row(a=u'Alice', b=1)] - >>> rdd = rdd.map(lambda row: row[1]) - >>> spark.createDataFrame(rdd, "int").collect() - [Row(value=1)] - >>> spark.createDataFrame(rdd, "boolean").collect() # doctest: +IGNORE_EXCEPTION_DETAIL - Traceback (most recent call last): - ... - Py4JJavaError: ... - """ - if isinstance(data, DataFrame): - raise TypeError("data is already a DataFrame") - - if isinstance(schema, basestring): - schema = _parse_datatype_string(schema) - elif isinstance(schema, (list, tuple)): - # Must re-encode any unicode strings to be consistent with StructField names - schema = [x.encode('utf-8') if not isinstance(x, str) else x for x in schema] - - try: - import pandas - has_pandas = True - except Exception: - has_pandas = False - if has_pandas and isinstance(data, pandas.DataFrame): - from pyspark.sql.utils import require_minimum_pandas_version - require_minimum_pandas_version() - - if self._wrapped._conf.pandasRespectSessionTimeZone(): - timezone = self._wrapped._conf.sessionLocalTimeZone() - else: - timezone = None - - # If no schema supplied by user then get the names of columns only - if schema is None: - schema = [str(x) if not isinstance(x, basestring) else - (x.encode('utf-8') if not isinstance(x, str) else x) - for x in data.columns] - - if self._wrapped._conf.arrowEnabled() and len(data) > 0: - try: - return self._create_from_pandas_with_arrow(data, schema, timezone) - except Exception as e: - from pyspark.util import _exception_message - - if self._wrapped._conf.arrowFallbackEnabled(): - msg = ( - "createDataFrame attempted Arrow optimization because " - "'spark.sql.execution.arrow.enabled' is set to true; however, " - "failed by the reason below:\n %s\n" - "Attempting non-optimization as " - "'spark.sql.execution.arrow.fallback.enabled' is set to " - "true." % _exception_message(e)) - warnings.warn(msg) - else: - msg = ( - "createDataFrame attempted Arrow optimization because " - "'spark.sql.execution.arrow.enabled' is set to true, but has reached " - "the error below and will not continue because automatic fallback " - "with 'spark.sql.execution.arrow.fallback.enabled' has been set to " - "false.\n %s" % _exception_message(e)) - warnings.warn(msg) - raise - data = self._convert_from_pandas(data, schema, timezone) - - if isinstance(schema, StructType): - verify_func = _make_type_verifier(schema) if verifySchema else lambda _: True - - def prepare(obj): - verify_func(obj) - return obj - elif isinstance(schema, DataType): - dataType = schema - schema = StructType().add("value", schema) - - verify_func = _make_type_verifier( - dataType, name="field value") if verifySchema else lambda _: True - - def prepare(obj): - verify_func(obj) - return obj, - else: - prepare = lambda obj: obj - - if isinstance(data, RDD): - rdd, schema = self._createFromRDD(data.map(prepare), schema, samplingRatio) - else: - rdd, schema = self._createFromLocal(map(prepare, data), schema) - jrdd = self._jvm.SerDeUtil.toJavaArray(rdd._to_java_object_rdd()) - jdf = self._jsparkSession.applySchemaToPythonRDD(jrdd.rdd(), schema.json()) - df = DataFrame(jdf, self._wrapped) - df._schema = schema - return df - - @ignore_unicode_prefix - @since(2.0) - def sql(self, sqlQuery): - """Returns a :class:`DataFrame` representing the result of the given query. - - :return: :class:`DataFrame` - - >>> df.createOrReplaceTempView("table1") - >>> df2 = spark.sql("SELECT field1 AS f1, field2 as f2 from table1") - >>> df2.collect() - [Row(f1=1, f2=u'row1'), Row(f1=2, f2=u'row2'), Row(f1=3, f2=u'row3')] - """ - return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped) - - @since(2.0) - def table(self, tableName): - """Returns the specified table as a :class:`DataFrame`. - - :return: :class:`DataFrame` - - >>> df.createOrReplaceTempView("table1") - >>> df2 = spark.table("table1") - >>> sorted(df.collect()) == sorted(df2.collect()) - True - """ - return DataFrame(self._jsparkSession.table(tableName), self._wrapped) - - @property - @since(2.0) - def read(self): - """ - Returns a :class:`DataFrameReader` that can be used to read data - in as a :class:`DataFrame`. - - :return: :class:`DataFrameReader` - """ - return DataFrameReader(self._wrapped) - - @property - @since(2.0) - def readStream(self): - """ - Returns a :class:`DataStreamReader` that can be used to read data streams - as a streaming :class:`DataFrame`. - - .. note:: Evolving. - - :return: :class:`DataStreamReader` - """ - return DataStreamReader(self._wrapped) - - @property - @since(2.0) - def streams(self): - """Returns a :class:`StreamingQueryManager` that allows managing all the - :class:`StreamingQuery` StreamingQueries active on `this` context. - - .. note:: Evolving. - - :return: :class:`StreamingQueryManager` - """ - from pyspark.sql.streaming import StreamingQueryManager - return StreamingQueryManager(self._jsparkSession.streams()) - - @since(2.0) - def stop(self): - """Stop the underlying :class:`SparkContext`. - """ - self._sc.stop() - # We should clean the default session up. See SPARK-23228. - self._jvm.SparkSession.clearDefaultSession() - SparkSession._instantiatedSession = None - - @since(2.0) - def __enter__(self): - """ - Enable 'with SparkSession.builder.(...).getOrCreate() as session: app' syntax. - """ - return self - - @since(2.0) - def __exit__(self, exc_type, exc_val, exc_tb): - """ - Enable 'with SparkSession.builder.(...).getOrCreate() as session: app' syntax. - - Specifically stop the SparkSession on exit of the with block. - """ - self.stop() - - -def _test(): - import os - import doctest - from pyspark.context import SparkContext - from pyspark.sql import Row - import pyspark.sql.session - - os.chdir(os.environ["SPARK_HOME"]) - - globs = pyspark.sql.session.__dict__.copy() - sc = SparkContext('local[4]', 'PythonTest') - globs['sc'] = sc - globs['spark'] = SparkSession(sc) - globs['rdd'] = rdd = sc.parallelize( - [Row(field1=1, field2="row1"), - Row(field1=2, field2="row2"), - Row(field1=3, field2="row3")]) - globs['df'] = rdd.toDF() - (failure_count, test_count) = doctest.testmod( - pyspark.sql.session, globs=globs, - optionflags=doctest.ELLIPSIS | doctest.NORMALIZE_WHITESPACE) - globs['sc'].stop() - if failure_count: - sys.exit(-1) - -if __name__ == "__main__": - _test() diff --git a/docker/tidb/tispark/tispark-tests/tests/loaddata.sh b/docker/tidb/tispark/tispark-tests/tests/loaddata.sh deleted file mode 100644 index 8bea607..0000000 --- a/docker/tidb/tispark/tispark-tests/tests/loaddata.sh +++ /dev/null @@ -1,5 +0,0 @@ -#!/usr/bin/env bash - -cd /opt/spark/data/tispark-sample-data - -mysql -h tidb -P 4000 -u root < dss.ddl diff --git a/docker/tidb/tispark/tispark-tests/tests/tests.py b/docker/tidb/tispark/tispark-tests/tests/tests.py deleted file mode 100644 index 76aa403..0000000 --- a/docker/tidb/tispark/tispark-tests/tests/tests.py +++ /dev/null @@ -1,9 +0,0 @@ -from pyspark.sql import SparkSession - -spark = SparkSession.builder.master("spark://tispark-master:7077").appName("TiSpark tests").getOrCreate() - -spark.sql("use TPCH_001") - -count = spark.sql("select count(*) as c from lineitem").first()['c'] - -assert 60175 == count diff --git a/docker/tidb/tools/container_debug b/docker/tidb/tools/container_debug deleted file mode 100755 index 890ffbe..0000000 --- a/docker/tidb/tools/container_debug +++ /dev/null @@ -1,190 +0,0 @@ -#!/bin/bash - -# Copyright 2018 PingCAP, Inc. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# See the License for the specific language governing permissions and -# limitations under the License. - -#* --------------------------------------------------------------------- */ -#* log configure */ -#* --------------------------------------------------------------------- */ -### Define logging color -COLOR_ORIGIN="\033[0m" -COLOR_GREEN="\033[32m" -COLOR_YELLOW="\033[33m" -COLOR_RED="\033[31m" - -### Define logging level -LOGGER_LEVEL="3" - -### Define common logger -function logger() { - cur_level=$1 - cur_type=$2 - cur_color=$3 - shift && shift && shift - cur_msg=$* - - [[ ${LOGGER_LEVEL} -lt ${cur_level} ]] && return 0 - - pre_fix="${cur_color}[${cur_type}][$(date +%F)][$(date +%T)]" - pos_fix="${COLOR_ORIGIN}" - echo -e "${pre_fix} ${cur_msg} ${pos_fix}" -} - -### Define notice logger -function notice() { - logger 3 "NOTICE" ${COLOR_GREEN} $* -} - -### Define warning logger -function warning() { - logger 2 "WARNING" ${COLOR_YELLOW} $* -} - -### Define fatal logger -function fatal() { - logger 1 "FATAL" ${COLOR_RED} $* - exit 1 -} -########################################################################## - -function print_help() { -echo "\ -${1:-Debug tool for container.} - -Usage: - container_debug [OPTIONS] [ARG] - -Options: - -i The container's identity, possible values are 'containerID' or 'containerName' - -s The service name defined in docker-compose - -w Run pprof via a web interface for go program - -p The binary path of the debugged process in its own container - -h Print help infomation - -When you enter the debug container, you can find the pid of the debugged process through the ps command, -then you can find the binary of the debugged process through this path /proc/\${pid}/root/\${binary_path}. - -\${binary_path} represents the binary path of the debugged process in its own container. -\${pid} represents the process id of the debugged process as seen in the debug container. -" >&2 -exit -} - -###############################variable define################################## -WORKSPACE=$(cd $(dirname $0)/..; pwd) -DEBUG_IMAGE=${DEBUG_IMAGE:-uhub.service.ucloud.cn/pingcap/tidb-debug:latest} -SUFFIX=$(uuidgen|cut -d'-' -f1|tr '[A-Z]' '[a-z]') -DEBUG_CONTAINER_NAME=debug-${SUFFIX} -TMP_FILE=$(mktemp /tmp/binary.XXXXXX) -################################################################################ - -if [[ $# -eq 0 ]] -then - print_help -fi - -function cleanup() { - notice "start to clean tmp file ${TMP_FILE}" - [[ -f ${TMP_FILE} ]] && rm -f ${TMP_FILE} -} - -### register signal processing function -trap cleanup EXIT - -### change workspace -cd $WORKSPACE - -optstring=":i:s:p:wh" - -while getopts "$optstring" opt; do - case $opt in - i) - container_id=${OPTARG} - ;; - s) - service_name=${OPTARG} - ;; - p) - binary_path=${OPTARG} - ;; - w) - web=true - ;; - h) - print_help - ;; - \?) - fatal "Invalid option: -$OPTARG" >&2 - ;; - :) - fatal "Option -$OPTARG requires an argument" >&2 - ;; - esac -done - -if [[ -z ${service_name} && -z ${container_id} ]] -then - fatal "please use -s or -i options to select the target container" >&2 -elif [[ ! -z ${container_id} ]] -then - ### If both -s and -i options are specified, the -i option is preferred - cid=${container_id} -else - cprefix=$(basename $(pwd)|tr -Cd '[A-Za-z0-9]'|tr '[A-Z]' '[a-z]') - cid="${cprefix}_${service_name}_1" - docker ps | grep ${cid} >/dev/null - [[ $? -ne 0 ]] && fatal "not found docker-compose service ${service_name}, please confirm the correct docker-compose service name" >&2 -fi - -if [[ ! -z ${binary_path} ]] -then - binary_name=$(basename ${binary_path}) - docker cp ${cid}:${binary_path} ${TMP_FILE} - if [[ $? -ne 0 ]] - then - ### not found binary in container, reset variable ${binary_name} - binary_name= - warning "not found ${binary_path} in container ${cid}, please specify the correct binary path in container" >&2 - fi -fi - -if [[ ! -z ${web} ]] -then - ### starts a web server for graphic visualizations of golang program profiles - - ### generate a random web port - ### TODO: Test whether this port has been used - wport=${RANDOM} - [[ ${wport} -lt 10000 ]] && wport=$((wport+10000)) - - ### get the container exposed port - cport=$(docker port ${cid}|grep -E '[0-9]{5}'|awk -F: '{print $NF}') - notice "starts a web server on localhost:${wport}" - pprof -http=:${wport} ${TMP_FILE} http://localhost:${cport}/debug/pprof/profile -else - ### enter debug container to debug the specified container - docker_run_args=(-ti --rm --name=${DEBUG_CONTAINER_NAME}) - docker_run_args+=(--pid=container:${cid}) - docker_run_args+=(--network=container:${cid}) - docker_run_args+=(--ipc=container:${cid}) - docker_run_args+=(--cap-add=SYS_PTRACE) - docker_run_args+=(--privileged=true) - if [[ ! -z ${binary_name} && -e ${TMP_FILE} ]] - then - docker_run_args+=(-v ${TMP_FILE}:/${binary_name}) - else - notice "you can access the debugged container ${cid} file system through this path /proc/\${DEBUGGED_PROCESS_PID}/root" - fi - docker_run_args+=($DEBUG_IMAGE) - docker run ${docker_run_args[@]} -fi