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Spark 2.4.0 standalone 模式安装

分类: 文章 • 2023-12-17 13:19:58

park 2.4.0 standalone 模式安装

Spark 2.4.0 standalone 模式安装

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技能标签

  • 学会安装Spark 2.4.0 standalone模式环境安装
  • Spark 集群环境maste，worker,history server 启动停止命令
  • Spark master,worker,history server 配置和管理界面查看
  • Spark shell 终端执行交互式命令，Spark shell 作业监控
  • WorldCount案例运行，界面查看
  • Spark master,worker,history,executor 日志查看
  • 官网: http://spark.apache.org/docs/latest/spark-standalone.html

前置条件

  • 已安装好java(选用的是java 1.8.0_191)
  • 已安装好scala(选用的是scala 2.11.121)
  • 已安装好hadoop(选用的是Hadoop 3.1.1)

安装

tar -zxvf spark-2.4.0-bin-without-hadoop.tgz -C /opt/module/bigdata/

  • 配置环境变量(配的是~/.bashrc)

export JAVA_HOME=/opt/module/jdk/jdk1.8.0_191export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jarexport SCALA_HOME=/opt/module/scala/scala-2.11.12export HADOOP_HOME=/opt/module/bigdata/hadoop-3.1.1export SPARK_HOME=/opt/module/bigdata/spark-2.4.0-bin-without-hadoopexport PATH=$JAVA_HOME/bin:$SCALA_HOME/bin:$SPARK_HOME/bin:$SPARK_HOME/sbin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH配置配置hadoop的classpath

  • 下载不带hadoop依赖jar的spark版本
  • 需要在spark配置中指定hadoop的classpath
  • 配置文件spark-env.sh

### in conf/spark-env.sh #### If 'hadoop' binary is on your PATHexportSPARK_DIST_CLASSPATH=$(hadoop classpath)# With explicit path to 'hadoop' binaryexportSPARK_DIST_CLASSPATH=$(/path/to/hadoop/bin/hadoop classpath)# Passing a Hadoop configuration directoryexport SPARK_DIST_CLASSPATH=$(hadoop --config /path/to/configs classpath)spark-env.sh配置#!/usr/bin/env bash## 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.## This file is sourced when running various Spark programs.# Copy it as spark-env.sh and edit that to configure Spark for your site.# Options read when launching programs locally with# ./bin/run-example or ./bin/spark-submit# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node# - SPARK_PUBLIC_DNS, to set the public dns name of the driver program# Options read by executors and drivers running inside the cluster# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node# - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program# - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and RDD data# - MESOS_NATIVE_JAVA_LIBRARY, to point to your libmesos.so if you use Mesos# Options read in YARN client/cluster mode# - SPARK_CONF_DIR, Alternate conf dir. (Default: ${SPARK_HOME}/conf)# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files# - YARN_CONF_DIR, to point Spark towards YARN configuration files when you use YARN# - SPARK_EXECUTOR_CORES, Number of cores for the executors (Default: 1).# - SPARK_EXECUTOR_MEMORY, Memory per Executor (e.g. 1000M, 2G) (Default: 1G)# - SPARK_DRIVER_MEMORY, Memory for Driver (e.g. 1000M, 2G) (Default: 1G)# Options for the daemons used in the standalone deploy mode# - SPARK_MASTER_HOST, to bind the master to a different IP address or hostname# - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports for the master# - SPARK_MASTER_OPTS, to set config properties only for the master (e.g. "-Dx=y")# - SPARK_WORKER_CORES, to set the number of cores to use on this machine# - SPARK_WORKER_MEMORY, to set how much total memory workers have to give executors (e.g. 1000m, 2g)# - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for the worker# - SPARK_WORKER_DIR, to set the working directory of worker processes# - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g. "-Dx=y")# - SPARK_DAEMON_MEMORY, to allocate to the master, worker and history server themselves (default: 1g).# - SPARK_HISTORY_OPTS, to set config properties only for the history server (e.g. "-Dx=y")# - SPARK_SHUFFLE_OPTS, to set config properties only for the external shuffle service (e.g. "-Dx=y")# - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g. "-Dx=y")# - SPARK_DAEMON_CLASSPATH, to set the classpath for all daemons# - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers# Generic options for the daemons used in the standalone deploy mode# - SPARK_CONF_DIR      Alternate conf dir. (Default: ${SPARK_HOME}/conf)# - SPARK_LOG_DIR       Where log files are stored.  (Default: ${SPARK_HOME}/logs)# - SPARK_PID_DIR       Where the pid file is stored. (Default: /tmp)# - SPARK_IDENT_STRING  A string representing this instance of spark. (Default: $USER)# - SPARK_NICENESS      The scheduling priority for daemons. (Default: 0)# - SPARK_NO_DAEMONIZE  Run the proposed command in the foreground. It will not output a PID file.# Options for native BLAS, like Intel MKL, OpenBLAS, and so on.# You might get better performance to enable these options if using native BLAS (see SPARK-21305).# - MKL_NUM_THREADS=1        Disable multi-threading of Intel MKL# - OPENBLAS_NUM_THREADS=1   Disable multi-threading of OpenBLAS# Passing a Hadoop configuration directoryexport SPARK_DIST_CLASSPATH=$(hadoop classpath)#master settingSPARK_MASTER_HOST=standalone.com  #绑定master的主机域名SPARK_MASTER_PORT=7077            # master 通信端口,worker和master通信端口SPARK_MASTER_WEBUI_PORT=8080      # master SParkUI用的端口# worker settingSPARK_WORKER_MEMORY=1g  #配置worker的内存大小slaves配置

  • 配置路径$SPARK_HOME/conf/slaves

standalone.comhistory server 配置

  • 配置 $SPARK_HOME/conf/spark-defaults.conf
  • 注意spark.eventLog.dir 和spark.history.fs.logDirectory 要相同路径

## 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.## Default system properties included when running spark-submit.# This is useful for setting default environmental settings.# Example:# spark.master                     spark://master:7077# spark.eventLog.enabled           true# spark.eventLog.dir               hdfs://namenode:8021/directory# spark.serializer                 org.apache.spark.serializer.KryoSerializer# spark.driver.memory              5g# spark.executor.extraJavaOptions  -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"# history spark.master=spark://standalone.com:7077spark.eventLog.enabled=truespark.eventLog.dir=hdfs://standalone.com:9000/spark/log/historyEventLogspark.serializer=org.apache.spark.serializer.KryoSerializerspark.driver.memory=1gspark.history.fs.logDirectory=hdfs://standalone.com:9000/spark/log/historyEventLogspark.history.ui.port=18080spark.history.fs.update.interval=10s#    The number of application UIs to retain. If this cap is exceeded, then the oldest applications will be removed.spark.history.retainedApplications=50spark.history.fs.cleaner.enabled=falsespark.history.fs.cleaner.interval=1dspark.history.fs.cleaner.maxAge=7dspark.history.ui.acls.enable=falsemastermaster启动命令

  • 默认master日志路径 $SPARK_HOME/logs/--org.apache.spark.deploy.master.Master--.out

start-master.shmaster停止命令stop-master.shworkermaster启动命令

  • 默认worker日志路径 $SPARK_HOME/logs/--org.apache.spark.deploy.master.Worker--.out

start-slave.sh spark://standalone.com:7077worker停止命令 stop-slave.sh 启动所有worker命令

  • 配置 $SPARK_HOME/conf/slaves 所有worker配置

start-slaves.sh spark://standalone.com:7077停止所有worker命令 stop-slaves.sh 启动spark-shell命令

spark-shellWorldCount 示例val rdd = sc.textFile("/home/liuwen/data/a.txt").flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_)rdd.saveAsTextFile("hdfs://standalone.com:9000/opt/temp/output_b_4")启动history-server命令

start-history-server.sh

 

停上history-server 命令 stop-history-server.sh 管理控制台

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