本章主要包括

scala集合操作图标

spark的standalone模式安装部署(java, scala, hdfs环境配好的情况下)
- 解压文件
- 修改配置文件slaves, spark-env.sh, spark-default.conf
- 启动使用sbin/start-all.sh命令
- 测试使用bin/spark-shell进入交互式命令行

1. Scala集合操作

本章主要包括

scala集合操作图标

spark的standalone模式安装部署(java, scala, hdfs环境配好的情况下)
- 解压文件
- 修改配置文件slaves, spark-env.sh, spark-default.conf
- 启动使用sbin/start-all.sh命令
- 测试使用bin/spark-shell进入交互式命令行

1. Scala集合操作

2. spark安装部署

spark有四种部署模式

Local

Standalone

Yarn

Mesos

2.1 standalone安装模式

安装jdk(略)

安装Scala(2.10.4)(略)

安装Hadoop 2.x(略)

安装Spark Standalone

解压tar -zvxfspark-1.3.0-bin-2.5.0

配置环境变量 export SPARK_HOME=/opt/modules/spark-1.3.0-bin-2.5.0

配置文件

slaves 指定workers的服务器

zk1复制代码

spark-env.sh

#!/usr/bin/env bash# This file is sourced when running various Spark programs.# Copy it as spark-env.sh and edit that to configure Spark for your site.JAVA_HOME=/usr/local/jdkSCALA_HOME=/usr/local/scala# 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# - SPARK_CLASSPATH, default classpath entries to appendHADOOP_CONF_DIR=/opt/.../etc/hadoop# 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_CLASSPATH, default classpath entries to append# - 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 mode# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files# - SPARK_EXECUTOR_INSTANCES, Number of workers to start (Default: 2)# - SPARK_EXECUTOR_CORES, Number of cores for the workers (Default: 1).# - SPARK_EXECUTOR_MEMORY, Memory per Worker (e.g. 1000M, 2G) (Default: 1G)# - SPARK_DRIVER_MEMORY, Memory for Master (e.g. 1000M, 2G) (Default: 1G)# - SPARK_YARN_APP_NAME, The name of your application (Default: Spark)# - SPARK_YARN_QUEUE, The hadoop queue to use for allocation requests (Default: ‘default’)# - SPARK_YARN_DIST_FILES, Comma separated list of files to be distributed with the job.# - SPARK_YARN_DIST_ARCHIVES, Comma separated list of archives to be distributed with the job.# Options for the daemons used in the standalone deploy mode# - SPARK_MASTER_IP, 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_INSTANCES, to set the number of worker processes per node# - 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_PUBLIC_DNS, to set the public dns name of the master or workersSPARK_MASTER_IP=zk1SPARK_MASTER_PORT=7077SPARK_MASTER_WEBUI_PORT=8080SPARK_WORKER_CORES=1SPARK_WORKER_MEMORY=2gSPARK_WORKER_PORT=7077SPARK_WORKER_WEBUI_PORT=8081SPARK_WORKER_INSTANCES=1# 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)复制代码

启动

可以通过--help查看options 使用sbin/start-all.sh启动

验证

jps

Web UI zk1:8080

进入交互式界面使用bin/shpark-shell

可以通过--help查看命令帮助通过--master指定运行的master

通过下面命令进行测试

val fd = sc.testFile("hdfs://zk1:8020/test_input")fd.collect复制代码