Flink会话集群docker-compose一键安装

1、安装docker

参考，本人这篇博客：https://blog.csdn.net/taotao_guiwang/article/details/135508643?spm=1001.2014.3001.5501

2、flink-conf.yaml

flink-conf.yaml放在/home/flink/conf/job、/home/flink/conf/task下面，flink-conf.yaml内容如下：

################################################################################
#  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.
#################################################################################==============================================================================
# Common
#==============================================================================# The external address of the host on which the JobManager runs and can be
# reached by the TaskManagers and any clients which want to connect. This setting
# is only used in Standalone mode and may be overwritten on the JobManager side
# by specifying the --host <hostname> parameter of the bin/jobmanager.sh executable.
# In high availability mode, if you use the bin/start-cluster.sh script and setup
# the conf/masters file, this will be taken care of automatically. Yarn/Mesos
# automatically configure the host name based on the hostname of the node where the
# JobManager runs.jobmanager.rpc.address: jobmanager# The RPC port where the JobManager is reachable.jobmanager.rpc.port: 6123# The total process memory size for the JobManager.
#
# Note this accounts for all memory usage within the JobManager process, including JVM metaspace and other overhead.jobmanager.memory.process.size: 4096m# The total process memory size for the TaskManager.
#
# Note this accounts for all memory usage within the TaskManager process, including JVM metaspace and other overhead.taskmanager.memory.process.size: 16384m# To exclude JVM metaspace and overhead, please, use total Flink memory size instead of 'taskmanager.memory.process.size'.
# It is not recommended to set both 'taskmanager.memory.process.size' and Flink memory.
#
# taskmanager.memory.flink.size: 1280m# The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.taskmanager.numberOfTaskSlots: 10# The parallelism used for programs that did not specify and other parallelism.parallelism.default: 1# The default file system scheme and authority.
# 
# By default file paths without scheme are interpreted relative to the local
# root file system 'file:///'. Use this to override the default and interpret
# relative paths relative to a different file system,
# for example 'hdfs://mynamenode:12345'
#
# fs.default-scheme#==============================================================================
# High Availability
#==============================================================================# The high-availability mode. Possible options are 'NONE' or 'zookeeper'.
#
# high-availability: zookeeper# The path where metadata for master recovery is persisted. While ZooKeeper stores
# the small ground truth for checkpoint and leader election, this location stores
# the larger objects, like persisted dataflow graphs.
# 
# Must be a durable file system that is accessible from all nodes
# (like HDFS, S3, Ceph, nfs, ...) 
#
# high-availability.storageDir: hdfs:///flink/ha/# The list of ZooKeeper quorum peers that coordinate the high-availability
# setup. This must be a list of the form:
# "host1:clientPort,host2:clientPort,..." (default clientPort: 2181)
#
# high-availability.zookeeper.quorum: localhost:2181# ACL options are based on https://zookeeper.apache.org/doc/r3.1.2/zookeeperProgrammers.html#sc_BuiltinACLSchemes
# It can be either "creator" (ZOO_CREATE_ALL_ACL) or "open" (ZOO_OPEN_ACL_UNSAFE)
# The default value is "open" and it can be changed to "creator" if ZK security is enabled
#
# high-availability.zookeeper.client.acl: open#==============================================================================
# Fault tolerance and checkpointing
#==============================================================================# The backend that will be used to store operator state checkpoints if
# checkpointing is enabled.
#
# Supported backends are 'jobmanager', 'filesystem', 'rocksdb', or the
# <class-name-of-factory>.
#
# state.backend: filesystem# Directory for checkpoints filesystem, when using any of the default bundled
# state backends.
#
# state.checkpoints.dir: hdfs://namenode-host:port/flink-checkpoints# Default target directory for savepoints, optional.
#
#state.savepoints.dir: file:/tmp/savepoint# Flag to enable/disable incremental checkpoints for backends that
# support incremental checkpoints (like the RocksDB state backend). 
#
# state.backend.incremental: false# The failover strategy, i.e., how the job computation recovers from task failures.
# Only restart tasks that may have been affected by the task failure, which typically includes
# downstream tasks and potentially upstream tasks if their produced data is no longer available for consumption.jobmanager.execution.failover-strategy: region#==============================================================================
# Rest & web frontend
#==============================================================================# The port to which the REST client connects to. If rest.bind-port has
# not been specified, then the server will bind to this port as well.
#
#rest.port: 8081# The address to which the REST client will connect to
#
#rest.address: 0.0.0.0# Port range for the REST and web server to bind to.
#
#rest.bind-port: 8080-8090# The address that the REST & web server binds to
#
#rest.bind-address: 0.0.0.0# Flag to specify whether job submission is enabled from the web-based
# runtime monitor. Uncomment to disable.#web.submit.enable: false#==============================================================================
# Advanced
#==============================================================================# Override the directories for temporary files. If not specified, the
# system-specific Java temporary directory (java.io.tmpdir property) is taken.
#
# For framework setups on Yarn or Mesos, Flink will automatically pick up the
# containers' temp directories without any need for configuration.
#
# Add a delimited list for multiple directories, using the system directory
# delimiter (colon ':' on unix) or a comma, e.g.:
#     /data1/tmp:/data2/tmp:/data3/tmp
#
# Note: Each directory entry is read from and written to by a different I/O
# thread. You can include the same directory multiple times in order to create
# multiple I/O threads against that directory. This is for example relevant for
# high-throughput RAIDs.
#
# io.tmp.dirs: /tmp# The classloading resolve order. Possible values are 'child-first' (Flink's default)
# and 'parent-first' (Java's default).
#
# Child first classloading allows users to use different dependency/library
# versions in their application than those in the classpath. Switching back
# to 'parent-first' may help with debugging dependency issues.
#
# classloader.resolve-order: child-first# The amount of memory going to the network stack. These numbers usually need 
# no tuning. Adjusting them may be necessary in case of an "Insufficient number
# of network buffers" error. The default min is 64MB, the default max is 1GB.
# 
# taskmanager.memory.network.fraction: 0.1
# taskmanager.memory.network.min: 64mb
# taskmanager.memory.network.max: 1gb#==============================================================================
# Flink Cluster Security Configuration
#==============================================================================# Kerberos authentication for various components - Hadoop, ZooKeeper, and connectors -
# may be enabled in four steps:
# 1. configure the local krb5.conf file
# 2. provide Kerberos credentials (either a keytab or a ticket cache w/ kinit)
# 3. make the credentials available to various JAAS login contexts
# 4. configure the connector to use JAAS/SASL# The below configure how Kerberos credentials are provided. A keytab will be used instead of
# a ticket cache if the keytab path and principal are set.# security.kerberos.login.use-ticket-cache: true
# security.kerberos.login.keytab: /path/to/kerberos/keytab
# security.kerberos.login.principal: flink-user# The configuration below defines which JAAS login contexts# security.kerberos.login.contexts: Client,KafkaClient#==============================================================================
# ZK Security Configuration
#==============================================================================# Below configurations are applicable if ZK ensemble is configured for security# Override below configuration to provide custom ZK service name if configured
# zookeeper.sasl.service-name: zookeeper# The configuration below must match one of the values set in "security.kerberos.login.contexts"
# zookeeper.sasl.login-context-name: Client#==============================================================================
# HistoryServer
#==============================================================================# The HistoryServer is started and stopped via bin/historyserver.sh (start|stop)# Directory to upload completed jobs to. Add this directory to the list of
# monitored directories of the HistoryServer as well (see below).
#jobmanager.archive.fs.dir: hdfs:///completed-jobs/# The address under which the web-based HistoryServer listens.
#historyserver.web.address: 0.0.0.0# The port under which the web-based HistoryServer listens.
#historyserver.web.port: 8082# Comma separated list of directories to monitor for completed jobs.
#historyserver.archive.fs.dir: hdfs:///completed-jobs/# Interval in milliseconds for refreshing the monitored directories.
#historyserver.archive.fs.refresh-interval: 10000blob.server.port: 6124
query.server.port: 6125

3、docker-compose.yaml

使用如下命令部署集群：

docker-compose -f docker-compose.yml up -d

docker-compose.yaml内容如下：

version: "2.1"
services:jobmanager:image: flink:1.12.7-scala_2.11expose:- "6123"ports:- "8081:8081"command: jobmanagerenvironment:- JOB_MANAGER_RPC_ADDRESS=jobmanagervolumes:- /home/flink/conf/job/flink-conf.yaml:/opt/flink/conf/flink-conf.yamlrestart: alwaystaskmanager:image: flink:1.12.7-scala_2.11expose:- "6121"- "6122"depends_on:- jobmanagercommand: taskmanagerlinks:- "jobmanager:jobmanager"environment:- JOB_MANAGER_RPC_ADDRESS=jobmanagervolumes:- /home/flink/conf/task/flink-conf.yaml:/opt/flink/conf/flink-conf.yamlrestart: always

4、启动后

5、页面访问

访问地址：http://IP:8081