Flink standalone集羣HA高可用搭建

dfs沒準備好...需要配置dfs路徑的位置都用的本地file替換了,倒也能啓動,但不要這樣用

HA 配置爲 3masters 3slavers

java1.8->scala2.12->zookeeper3.4.14->flink1.8.0_2.12

1.配置集羣間ssh免密登陸
    生成ssh密鑰
        ssh-keygen -t rsa
    三個確認回車生成ssh密鑰
    將ssh密鑰拷貝到其他主機
        ssh-copy-id -i /root/.ssh/id_rsa.pub username@ipaddr 

2.java1.8+ 集羣環境需要java1.8及以上

3.scala 2.11 或 2.12,flink的安裝包應該與scala環境對應
    官網下載 scala-2.12.8安裝包到/opt下
        tar -xvf scala-2.12.8.tar
    向/etc/profile添加環境變量(見最後)

4.zookeeper flink的standalone HA(高可用部署)需要zookeeper支持
    官網下載 zookeeper-3.4.14安裝包到/opt下
        tar -xvf zookeeper-3.4.14.tar
    向/etc/profile添加環境變量(見最後)
        配置zookeeper集羣
            cd /opt/zookeeper-3.4.14/
            vi /conf/zoo.cfg 配置zookeeper(見最後)
        按照配置文件中的路徑創建data目錄,這裏
            mkdir /opt/zkData/data
        在data目錄新建myid文件,添加編號,編號與配置文件中對應
            vi /opt/zkData/data/myid (見最後)
        啓動zookeeper集羣
            zkServer.sh start

5.flink 
    官網下載 flink-1.8.0-bin-scala_2.12安裝包到/opt下
        tar -xvf flink-1.8.0-bin-scala_2.12.tar
    向/etc/profile添加環境變量(見最後)
        配置flink集羣
            standalone集羣高可用性部署需要配置flink-conf.yaml masters 和 slaves三個文件 (見最後)
                jobmanager.rpc.address 該地址在高可用模式下會被忽略由集羣自動維護
            啓動高可用standalone集羣
                start-cluster.sh

** /etc/profile文件中新增內容:
[root@node09 zookeeper-3.4.14]# cat /etc/profile
export JAVA_HOME=/opt/jdk1.8.0_211
export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar  
export PATH=$JAVA_HOME/bin:$PATH

export SCALA_HOME=/opt/scala-2.12.8
export PATH=$SCALA_HOME/bin:$PATH

export FLINK_HOME=/opt/flink-current
export PATH=$FLINK_HOME/bin:$PATH

export ZOOKEEPER_HOME=/opt/zookeeper-3.4.14
export PATH=$ZOOKEEPER_HOME/bin:$PATH

**/opt/zookeeper-3.4.14/conf/zoo.cfg zookeeper配置文件
[root@node09 zookeeper-3.4.14]# cat conf/zoo.cfg 
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
#dataDir=/tmp/zookeeper
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1

dataDir=/opt/zkData/data
dataLogDir=/opt/zkData/log
server.1=node08:2888:3888
server.2=node09:2888:3888
server.3=node10:2888:3888

**zookeeper各個節點myid配置規則,以node09爲例
/opt/zkData/data/myid zookeeper集羣myid文件,以109節點爲例,應配置爲2
[root@node09 zookeeper-3.4.14]# cat /opt/zkData/data/myid 
2

**flink.conf文件
[root@node08 conf]# cat flink-conf.yaml 
################################################################################
#  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: node08

# The RPC port where the JobManager is reachable.

#jobmanager.rpc.port: 6123


# The heap size for the JobManager JVM

jobmanager.heap.size: 1024m


# The heap size for the TaskManager JVM

taskmanager.heap.size: 1024m


# The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.

taskmanager.numberOfTaskSlots: 36

# The parallelism used for programs that did not specify and other parallelism.

parallelism.default: 4

# 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

taskmanager.tmp.dirs: /opt/fs/tmp

#==============================================================================
# High Availability
#==============================================================================

# The high-availability mode. Possible options are 'NONE' or 'zookeeper'.
#
# high-availability: 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/
high-availability.storageDir: file:///opt/fs/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
high-availability.zookeeper.quorum: node08:2181,node09:2181,node10:2181


# 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
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
state.checkpoints.dir: file:///opt/fs/checkpoints

# Default target directory for savepoints, optional.
#
# state.savepoints.dir: hdfs://namenode-host:port/flink-checkpoints
state.savepoints.dir: file:///opt/fs/savepoints

# Flag to enable/disable incremental checkpoints for backends that
# support incremental checkpoints (like the RocksDB state backend). 
#
# state.backend.incremental: false

state.checkpoints.num-retained: 5
#==============================================================================
# Web Frontend
#==============================================================================

# The address under which the web-based runtime monitor listens.
#
#web.address: 0.0.0.0

# The port under which the web-based runtime monitor listens.
# A value of -1 deactivates the web server.

rest.port: 8081

# Flag to specify whether job submission is enabled from the web-based
# runtime monitor. Uncomment to disable.

#web.submit.enable: false

web.tmpdir: /opt/fs/web

#==============================================================================
# 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/flinkio

# Specify whether TaskManager's managed memory should be allocated when starting
# up (true) or when memory is requested.
#
# We recommend to set this value to 'true' only in setups for pure batch
# processing (DataSet API). Streaming setups currently do not use the TaskManager's
# managed memory: The 'rocksdb' state backend uses RocksDB's own memory management,
# while the 'memory' and 'filesystem' backends explicitly keep data as objects
# to save on serialization cost.
#
# taskmanager.memory.preallocate: false

# 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, teh default max is 1GB.

# taskmanager.network.memory.fraction: 0.1
# taskmanager.network.memory.min: 64mb
# taskmanager.network.memory.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: 10000


**flink master文件
[root@node08 conf]# cat masters 
node08:8081
node09:8081
node10:8081

**flink slaves文件
[root@node08 conf]# cat slaves
node08
node09
node10


 

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