spark2.4.0+hadoop2.8.3全分布式集群搭建

集群环境

hadoop-2.8.3搭建详细请查看hadoop系列文章

scala-2.11.12环境请查看scala系列文章

jdk1.8.0_161

spark-2.4.0-bin-hadoop2.7

192.168.217.201 hadoop1.org.cn hadoop1

192.168.217.202 hadoop2.org.cn hadoop2

192.168.217.203 hadoop3.org.cn hadoop3

spark2.4.0完全分布式环境搭建

下载安装包

http://spark.apache.org/downloads.html

解压安装包

tar zxf spark--bin-hadoop2..tgz -C /usr/hdp/

环境配置

# SET SPARK_HOME
export SPARK_HOME=/usr/hdp/spark--bin-hadoop2.
export PATH=$PATH:$SPARK_HOME/bin

配置文件修改

备注：一下文件都在spark安装的conf文件目录下

文件spark-env.sh

cp spark-env.sh.template spark-env.sh

然后修改spark-env.sh，修改的内容如下：

#!/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 ).
# - 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 )
# - 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 ).
# - MKL_NUM_THREADS=        Disable multi-threading of Intel MKL
# - OPENBLAS_NUM_THREADS=   Disable multi-threading of OpenBLAS
export JAVA_HOME=/opt/jdk1..0_161
export SCALA_HOME=/usr/scala/scala-
export HADOOP_HOME=/usr/hdp/hadoop-
export HADOOP_CONF_DIR=/usr/hdp/hadoop-/etc/hadoop
export SPARK_MASTER_HOST=hadoop1
export SPAKR_MASTER_IP=192.168.217.201
export SPARK_LOCAL_IP=192.168.217.201
export SPARK_WORKER_MEMORY=1g
export SPARK_WORKER_CORES=
export SPARK_HOME=/usr/hdp/spark--bin-hadoop2.

文件slaves

cp slaves.template slaves

然后编辑slaves文件，添加的内容如下：

hadoop1
hadoop2
hadoop3

文件的复制

将spark整个的目录复制到另外两个节点上面。

scp -r spark--bin-hadoop2./ root@192.168.217.202:/usr/hdp/
scp -r spark--bin-hadoop2./ root@192.168.217.203:/usr/hdp

文件复制之后，在其他的两个节点上面添加spark的环境变量，同时，修改spark-env.sh文件，将export SPARK_LOCAL_IP=192.168.217.201的IP修改为该节点的IP地址。

集群启动

启动hadoop整个的集群，然后进入到spark的sbin目录下，执行start-all.sh脚本。

[root@hadoop1 hdp]# jps
 NameNode
 ResourceManager
 SecondaryNameNode
 Master
 Jps
 Worker

[root@hadoop2 conf]# jps
 Jps
 DataNode
 Worker
 NodeManager

[root@hadoop3 ~]# jps
 DataNode
 Jps
 Worker
 NodeManager

此时访问相关的页面：

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