Flink 1.7 本地模式安裝配置(local)
阿新 • • 發佈：2019-01-11
centos7.5
安裝jdk:
# rpm -ivh jdk-8u172-linux-x64.rpm
# java -version
java version "1.8.0_172"
Java(TM) SE Runtime Environment (build 1.8.0_172-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)
# tar -xzvf flink-1.7.1-bin-scala_2.12.tgz -C /usr/local/
# mv /usr/local/flink-1.7.1/ /usr/local/flink
設定環境變數：
# cat /etc/profile.d/flink.sh
export MYSQL_HOME=/usr/local/flink
export PATH=$PATH:/usr/local/flink/bin
flink版本查詢:
# flink --version
Version: 1.7.1, Commit ID: 89eafb4
# flink list
Waiting for response...
No running jobs.
No scheduled jobs.
--啟動flink：
# ./jobmanager.sh start
# ./taskmanager.sh start
# ./historyserver.sh start
Starting historyserver daemon on host node4.
# ./standalone-job.sh start
Starting standalonejob daemon on host node4.
注意：historyserver的啟動依賴於hadoop
--直接啟動的指令碼:
# ./start-cluster.sh
Starting cluster.
Starting standalonesession daemon on host node4.
Starting taskexecutor daemon on host node4.
#./stop-cluster.sh stop
--相關的引數：
# ./historyserver.sh
Unknown daemon ''. Usage: flink-daemon.sh (start|stop|stop-all) (taskexecutor|zookeeper|historyserver|standalonesession|standalonejob) [args].
# ./jobmanager.sh
Usage: jobmanager.sh ((start|start-foreground) [host] [webui-port])|stop|stop-all
# ./taskmanager.sh
Usage: taskmanager.sh (start|start-foreground|stop|stop-all)
# ./standalone-job.sh
Usage: standalone-job.sh ((start|start-foreground))|stop [args]
--相關的命令：
# ll
total 128
-rwxrwxrwx 1 root root 28869 Dec 11 23:30 config.sh
-rwxrwxrwx 1 root root 2224 Dec 11 20:39 flink
-rwxrwxrwx 1 root root 1271 Dec 11 20:39 flink.bat
-rwxrwxrwx 1 root root 2774 Dec 11 23:30 flink-console.sh
-rwxrwxrwx 1 root root 6358 Dec 11 23:30 flink-daemon.sh
-rwxrwxrwx 1 root root 1564 Dec 11 23:30 historyserver.sh
-rwxrwxrwx 1 root root 2891 Dec 11 23:30 jobmanager.sh
-rwxrwxrwx 1 root root 1802 Dec 11 20:39 mesos-appmaster-job.sh
-rwxrwxrwx 1 root root 1834 Dec 11 23:30 mesos-appmaster.sh
-rwxrwxrwx 1 root root 1888 Dec 11 23:30 mesos-taskmanager.sh
-rwxrwxrwx 1 root root 1164 Dec 11 20:39 pyflink.bat
-rwxrwxrwx 1 root root 1107 Dec 11 20:39 pyflink.sh
-rwxrwxrwx 1 root root 1182 Dec 11 20:39 pyflink-stream.sh
-rwxrwxrwx 1 root root 3434 Dec 11 20:40 sql-client.sh
-rwxrwxrwx 1 root root 2533 Dec 11 23:30 standalone-job.sh
-rwxrwxrwx 1 root root 3364 Dec 11 20:39 start-cluster.bat
-rwxrwxrwx 1 root root 1836 Dec 11 20:39 start-cluster.sh
-rwxrwxrwx 1 root root 2960 Dec 14 23:45 start-scala-shell.sh
-rwxrwxrwx 1 root root 1854 Dec 11 20:39 start-zookeeper-quorum.sh
-rwxrwxrwx 1 root root 1616 Dec 11 20:39 stop-cluster.sh
-rwxrwxrwx 1 root root 1845 Dec 11 20:39 stop-zookeeper-quorum.sh
-rwxrwxrwx 1 root root 3845 Dec 11 23:30 taskmanager.sh
-rwxrwxrwx 1 root root 1674 Dec 11 20:39 yarn-session.sh
-rwxrwxrwx 1 root root 2281 Dec 11 20:39 zookeeper.sh
--啟動之後的日誌資訊：
# ls -l
total 48
-rw-r--r-- 1 root root 6093 Dec 25 10:06 flink-root-client-node4.log
-rw-r--r-- 1 root root 2749 Dec 25 10:10 flink-root-historyserver-0-node4.log
-rw-r--r-- 1 root root 693 Dec 25 10:10 flink-root-historyserver-0-node4.out
-rw-r--r-- 1 root root 3868 Dec 25 10:11 flink-root-standalonejob-0-node4.log
-rw-r--r-- 1 root root 1422 Dec 25 10:11 flink-root-standalonejob-0-node4.out
-rw-r--r-- 1 root root 11020 Dec 25 09:59 flink-root-standalonesession-0-node4.log
-rw-r--r-- 1 root root 0 Dec 25 09:59 flink-root-standalonesession-0-node4.out
-rw-r--r-- 1 root root 11636 Dec 25 09:59 flink-root-taskexecutor-0-node4.log
-rw-r--r-- 1 root root 0 Dec 25 09:59 flink-root-taskexecutor-0-node4.out
-- 配置檔案：
# cat /usr/local/flink/conf/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: localhost
# 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: 1
# 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: hdfs://namenode-host:port/flink-checkpoints
# Flag to enable/disable incremental checkpoints for backends that
# support incremental checkpoints (like the RocksDB state backend).
#
# state.backend.incremental: false
#==============================================================================
# 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
#==============================================================================
# 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
# 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
--埠說明：
jobmanager 6123
rest 8081
historyserver 8082
--java 程序檢視：
# jps
8093 TaskManagerRunner
21054 Jps
7535 StandaloneSessionClusterEntrypoint
可以看到在單主機上有TaskManagerRunner和StandaloneSessionClusterEntrypoint程序。
--啟動之後的埠：
# netstat -nultp | grep -i 8081
tcp6 0 0 :::8081 :::* LISTEN 7535/java
# netstat -nultp | grep -i 6123
tcp6 0 0 :::6123 :::* LISTEN 7535/java
--程序：
# ps -ef | grep -i flink
root 7535 1 1 09:59 pts/2 00:00:15 java -Xms1024m -Xmx1024m -Dlog.file=/usr/local/flink/log/flink-root-standalonesession-0-node4.log -Dlog4j.configuration=file:/usr/local/flink/conf/log4j.properties -Dlogback.configurationFile=file:/usr/local/flink/conf/logback.xml -classpath /usr/local/flink/lib/flink-python_2.12-1.7.1.jar:/usr/local/flink/lib/log4j-1.2.17.jar:/usr/local/flink/lib/slf4j-log4j12-1.7.15.jar:/usr/local/flink/lib/flink-dist_2.12-1.7.1.jar::: org.apache.flink.runtime.entrypoint.StandaloneSessionClusterEntrypoint --configDir /usr/local/flink/conf --executionMode cluster
root 8093 1 1 09:59 pts/2 00:00:12 java -XX:+UseG1GC -Xms922M -Xmx922M -XX:MaxDirectMemorySize=8388607T -Dlog.file=/usr/local/flink/log/flink-root-taskexecutor-0-node4.log -Dlog4j.configuration=file:/usr/local/flink/conf/log4j.properties -Dlogback.configurationFile=file:/usr/local/flink/conf/logback.xml -classpath /usr/local/flink/lib/flink-python_2.12-1.7.1.jar:/usr/local/flink/lib/log4j-1.2.17.jar:/usr/local/flink/lib/slf4j-log4j12-1.7.15.jar:/usr/local/flink/lib/flink-dist_2.12-1.7.1.jar::: org.apache.flink.runtime.taskexecutor.TaskManagerRunner --configDir /usr/local/flink/conf
--日誌檢視資訊：
# ll
total 48
-rw-r--r-- 1 root root 6093 Dec 25 10:06 flink-root-client-node4.log
-rw-r--r-- 1 root root 2749 Dec 25 10:10 flink-root-historyserver-0-node4.log
-rw-r--r-- 1 root root 693 Dec 25 10:10 flink-root-historyserver-0-node4.out
-rw-r--r-- 1 root root 3868 Dec 25 10:11 flink-root-standalonejob-0-node4.log
-rw-r--r-- 1 root root 1422 Dec 25 10:11 flink-root-standalonejob-0-node4.out
-rw-r--r-- 1 root root 11020 Dec 25 09:59 flink-root-standalonesession-0-node4.log
-rw-r--r-- 1 root root 0 Dec 25 09:59 flink-root-standalonesession-0-node4.out
-rw-r--r-- 1 root root 11636 Dec 25 09:59 flink-root-taskexecutor-0-node4.log
-rw-r--r-- 1 root root 0 Dec 25 09:59 flink-root-taskexecutor-0-node4.out
--檢視task的日誌：
# cat flink-root-taskexecutor-0-node4.log
2018-12-25 09:59:53,282 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - --------------------------------------------------------------------------------
2018-12-25 09:59:53,284 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Starting TaskManager (Version: 1.7.1, Rev:89eafb4, Date:14.12.2018 @ 15:48:34 GMT)
2018-12-25 09:59:53,284 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - OS current user: root
2018-12-25 09:59:53,284 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Current Hadoop/Kerberos user: <no hadoop dependency found>
2018-12-25 09:59:53,284 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - JVM: Java HotSpot(TM) 64-Bit Server VM - Oracle Corporation - 1.8/25.172-b11
2018-12-25 09:59:53,284 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Maximum heap size: 922 MiBytes
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - JAVA_HOME: (not set)
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - No Hadoop Dependency available
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - JVM Options:
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -XX:+UseG1GC
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -Xms922M
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -Xmx922M
2018-12-25 09:59:53,285 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -XX:MaxDirectMemorySize=8388607T
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -Dlog.file=/usr/local/flink/log/flink-root-taskexecutor-0-node4.log
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -Dlog4j.configuration=file:/usr/local/flink/conf/log4j.properties
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - -Dlogback.configurationFile=file:/usr/local/flink/conf/logback.xml
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Program Arguments:
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - --configDir
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - /usr/local/flink/conf
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Classpath: /usr/local/flink/lib/flink-python_2.12-1.7.1.jar:/usr/local/flink/lib/log4j-1.2.17.jar:/usr/local/flink/lib/slf4j-log4j12-1.7.15.jar:/usr/local/flink/lib/flink-dist_2.12-1.7.1.jar:::
2018-12-25 09:59:53,286 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - --------------------------------------------------------------------------------
2018-12-25 09:59:53,288 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Registered UNIX signal handlers for [TERM, HUP, INT]
2018-12-25 09:59:53,292 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - Maximum number of open file descriptors is 131072.
2018-12-25 09:59:53,306 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.rpc.address, localhost
2018-12-25 09:59:53,306 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.rpc.port, 6123
2018-12-25 09:59:53,307 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.heap.size, 1024m
2018-12-25 09:59:53,307 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: taskmanager.heap.size, 1024m
2018-12-25 09:59:53,307 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: taskmanager.numberOfTaskSlots, 1
2018-12-25 09:59:53,307 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: parallelism.default, 1
2018-12-25 09:59:53,308 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: rest.port, 8081
2018-12-25 09:59:53,316 INFO org.apache.flink.core.fs.FileSystem - Hadoop is not in the classpath/dependencies. The extended set of supported File Systems via Hadoop is not available.
2018-12-25 09:59:53,340 INFO org.apache.flink.runtime.security.modules.HadoopModuleFactory - Cannot create Hadoop Security Module because Hadoop cannot be found in the Classpath.
2018-12-25 09:59:53,364 INFO org.apache.flink.runtime.security.SecurityUtils - Cannot install HadoopSecurityContext because Hadoop cannot be found in the Classpath.
2018-12-25 09:59:53,944 WARN org.apache.flink.configuration.Configuration - Config uses deprecated configuration key 'jobmanager.rpc.address' instead of proper key 'rest.address'
2018-12-25 09:59:53,949 INFO org.apache.flink.runtime.util.LeaderRetrievalUtils - Trying to select the network interface and address to use by connecting to the leading JobManager.
2018-12-25 09:59:53,950 INFO org.apache.flink.runtime.util.LeaderRetrievalUtils - TaskManager will try to connect for 10000 milliseconds before falling back to heuristics
2018-12-25 09:59:53,954 INFO org.apache.flink.runtime.net.ConnectionUtils - Retrieved new target address localhost/127.0.0.1:6123.
2018-12-25 09:59:53,969 INFO org.apache.flink.runtime.taskexecutor.TaskManagerRunner - TaskManager will use hostname/address 'node4' (172.16.1.92) for communication.
2018-12-25 09:59:53,972 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils - Trying to start actor system at node4:0
2018-12-25 09:59:54,552 INFO akka.event.slf4j.Slf4jLogger - Slf4jLogger started
2018-12-25 09:59:54,663 INFO akka.remote.Remoting - Starting remoting
2018-12-25 09:59:54,840 INFO akka.remote.Remoting - Remoting started; listening on addresses :[akka.tcp:// 
可以看到執行的時候只有1個task manager和1個task slot.
--建立檔案及內容：
# cat /opt/flink/hello.txt
Java flink java flink flink
執行例項：
# flink run -m 172.16.1.92:8081 /usr/local/flink/examples/batch/WordCount.jar --input /opt/flink/hello.txt --output /opt/flink/output
Starting execution of program
Program execution finished
Job with JobID c5d638567293db4b0cbf146fa9a116b7 has finished.
Job Runtime: 460 ms
--結果檢視：
# cat /opt/flink/output
flink 3
java 2
執行過程：
--流式計算例項：
# nc -l 9000
china
java
java
java
china
java
同時按ctrl+z結束。
檢視輸出的統計：
# tail -f /usr/local/flink/log/flink-root-taskexecutor-0-node4.out