linux上配置spark集群

环境:

linux

spark1.6.0

hadoop2.2.0

一.安装scala(每台机器)

 

1.下载scala-2.11.0.tgz

 

放在目录: /opt下,tar -zxvf scala-2.11.0.tgz

 

2.在hadoop用户下

 

vim /etc/profile

3.在profile文件加入Scala路径

 

 export SCALA_JAVA=/opt/scala-2.11.0
 export PATH=$PATH:$SCALA_JAVA/bin  

 

4.使配置环境生效

source /etc/profile

5.检验scala是否安装成功

[hadoop@testhdp01 ~]$ scala -version
Scala code runner version 2.10.1 -- Copyright 2002-2013, LAMP/EPF

成功

 

 

二.安装spark

 

1.编译spark1.6.0（在linux下编译很多次都编译不成功，所以我放到mac下编译的。）

 

官网编译方法:http://spark.apache.org/docs/latest/building-spark.html

进入spark目录,然后执行以下命令:

build/mvn -Pyarn -Phadoop-2.2 -Dhadoop.version=2.2.0 -DskipTests clean package
./make-distribution.sh --name custom-spark --tgz -Psparkr -Phadoop-2.2 -Phive -Phive-thriftserver -Pyarn
mvn -Pyarn -Phadoop-2.2 -Dhadoop.version=2.2.0 -Phive -Phive-thriftserver -DskipTests clean package

 

用idea编译方法:

https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools#UsefulDeveloperTools-IDESetup

 

2.配置spark

 

cd /opt/spark-1.6.0-bin-hadoop2.2.0/conf
 
cp spark-env.sh.template spark-env.sh
 
cp slaves.template slaves
 
vim spark-env.sh

 

加入

export SCALA_HOME=/opt/scala-2.10.1
export JAVA_HOME=/opt/jdk1.7.0_51
export SPARK_MASTER_IP=192.168.22.7
export HADOOP_HOME=/opt/hadoop-2.2.0
export SPARK_HOME=/opt/spark-1.6.0-bin-hadoop2.2.0
export SPARK_LIBRARY_PATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib:$HADOOP_HOME/lib/native
export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop/
export LD_LIBRARY_PATH=$HADOOP_HOME/lib/native
export SPARK_JAR=$SPARK_HOME/lib/spark-assembly-1.6.0-hadoop2.2.0.jar

mac 下配置如下，在文件头加入

#jdk
export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.7.0_79.jdk/Contents/Home
export PATH=$PATH:$JAVA_HOME/bin

#scala
export SCALA_HOME=/usr/local/Cellar/scala-2.10.4
export PATH=$PATH:$SCALA_HOME/bin

#hadoop
export HADOOP_HOME=/usr/local/Cellar/hadoop/2.7.2/libexec
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

#hive
export HIVE_HOME=/usr/local/Cellar/hive/2.0.1/libexec
export SPARK_CLASSPATH=$HIVE_HOME/lib/mysql-connector-java-5.1.28.jar:$SPARK_CLASSPATH

#spark
export SPARK_HOME=/usr/local/Cellar/spark-1.3.1-bin-hadoop2.6
export PATH=$PATH:$SPARK_HOME/bin

3.配置spark 支持hive

vim spark-env.sh
export HIVE_HOME=/opt/apache-hive-0.13.0
export SPARK_CLASSPATH=$HIVE_HOME/lib/mysql-connector-java-5.1.26.jar:$SPARK_CLASSPATH

拷贝apache-hive-0.13.1-bin/conf/hive-site.xml到$SPARK_HOME/conf下

cp /opt/apache-hive-0.13.0/conf/hive-site.xml conf/

在/etc/profile.d目录下创建hive.sh文件

加入环境变量设置

#!/bin/bash
export HIVE_HOME=/opt/apache-hive-0.13.0
export PATH=$HIVE_HOME/bin:$PATH

是环境变量生效

source /etc/profile.d/hive.sh

4.配置集群

进入spark的conf目录

vim slaves

删除localhost

加入子节点的名字

testhdp02
testhdp03

 

配置spark系统环境(三个子节点都要配置)

sudo su - root
sudo vim /etc/profile
export SPARK_HOME=/opt/spark-1.5.0-bin-hadoop2.2.0
export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin

 

3.把配置好的spark打包，发送到子节点

 

http://192.168.22.7:8080/

 

 

三:错误分析

 

bin/spark-shell

运行

val textFile = sc.textFile("README.md")
textFile.count()

 

出现如下错误:

 

Caused by: java.lang.reflect.InvocationTargetException
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
        ... 61 more
Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzoCodec not found.
        at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:135)
        at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:175)
        at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45)
        ... 66 more
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found
        at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
        at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128)
        ... 68 more

 

解决方案：

修改saprk-env.sh文件

 

export SCALA_HOME=/opt/scala-2.10.1
export JAVA_HOME=/opt/jdk1.7.0_51
export SPARK_MASTER_IP=192.168.22.7
export HADOOP_HOME=/opt/hadoop-2.2.0
export SPARK_HOME=/opt/spark-1.6.0-bin-hadoop2.2.0
export SPARK_LIBRARY_PATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib:$HADOOP_HOME/lib/native
export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop/
export LD_LIBRARY_PATH=$HADOOP_HOME/lib/native
export SPARK_JAR=$SPARK_HOME/lib/spark-assembly-1.6.0-hadoop2.2.0.jar
export SPARK_CLASSPATH=$SPARK_CLASSPATH:$HADOOP_HOME/share/hadoop/yarn/*:$HADOOP_HOME/share/hadoop/yarn/lib/*:$HADOOP_HOME/share/hadoop/common/*:$HADOOP_HOME/share/hadoop/common/lib/*:$HADOOP_HOME/share/hadoop/hdfs/*:$HADOOP_HOME/share/hadoop/hdfs/lib/*:$HADOOP_HOME/share/hadoop/mapreduce/*:$HADOOP_HOME/share/hadoop/mapreduce/lib/*:$HADOOP_HOME/share/hadoop/tools/lib/*:$SPARK_HOME/lib/*