spark1.6.1及scala2.11.8安装配置

首先，安装spark之前需要安装配置的软件有：JDK，Scala,ssh,Hadoop这些开发平台的安装配置在我之前的博客中都有详细的攻略，需要的请去看看。

hadoop安装配置

再此提一句，无论是hadoop，hbase，hive，spark都是需要版本适配的，不然就会多很多步的不必要操作，版本的适配官网上都有，这里写者是使用：jdk1.7+hadoop2.6.4+scala2.11.8+spark1.6.1。

由于spark的内核是scala，所以使用spark之前，必先安装scala，那么废话不多说，开始安装。

scala安装配置

解压scala-2.11.8.tgz

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6$ cd ~

hadoop@master:~$ cd Downloads/ hadoop@master:~/Downloads$ ls

apache-hive-2.0.0-bin.tar.gz scala-2.11.8.tgz hadoop-2.6.4.tar.gz

spark-1.6.1-bin-hadoop2.6.tgz hbase-1.2.1-bin.tar.gz

zookeeper-3.5.0-alpha.tar.gz jdk-7u80-linux-x64.tar.gz

hadoop@master:~/Downloads$ cd /software/ hadoop@master:/software$ tar

-zxvf scala-2.11.8/

2.配置环境变量

hadoop@master:/software$ sudo gedit /etc/profile

里面添加

export SCALA_HOME=/software/scala-2.11.8

export PATH=$SCALA_HOME/bin:$PATH

hadoop@master:/software$ source /etc/profile

3.启动及验证

hadoop@master:/software$ scala

Welcome to Scala 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_80).

Type in expressions for evaluation. Or try :help.

scala> 8*8

res0: Int = 64

scala> ;

安装spark

解压spark-1.6.1-bin-hadoop2.6.tgz

hadoop@master:/software$ tar -zxvf ~/Downloads/spark-1.6.1-bin-hadoop2.6.tgz

2.配置环境变量

sudo gedit /etc/profile

export SPARK_HOME=/software/spark-1.6.1-bin-hadoop2.6

export PATH=$SPARK_HOME/bin:$PATH

hadoop@master:/software$ source /etc/profile

3.修改spark-env.sh

hadoop@master:~$ cd /software/spark-1.6.1-bin-hadoop2.6/conf/

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6/conf$ ls

Docker.properties.template metrics.properties.template

spark-env.sh.template fairscheduler.xml.template slaves.template

log4j.properties.template spark-defaults.conf.template

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6/conf$ cp

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

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6/conf$ sudo gedit

spark-env.sh

加入

export SCALA_HOME=/software/scala-2.11.8

export JAVA_HOME=/software/jdk1.7.0_80

export SPARK_MASTER_IP=master

export SPARK_WORKER_MEMORY=512m

export master=spark://master:7070

修改slaves

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6/conf$ cp slaves.template slaves

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6/conf$ sudo gedit slaves

loaclhost改为master

4.启动spark

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6$ sbin/start-all.sh

starting org.apache.spark.deploy.master.Master, logging to

/software/spark-1.6.1-bin-hadoop2.6/logs/spark-tg-org.apache.spark.deploy.master.Master-1-master.out

master: starting org.apache.spark.deploy.worker.Worker, logging to

/software/spark-1.6.1-bin-hadoop2.6/logs/spark-tg-org.apache.spark.deploy.worker.Worker-1-master.out

jps查看进程 多了Worker，Master

5.进入spark-shell

hadoop@master:/software/spark-1.6.1-bin-hadoop2.6$ bin/spark-shell

log4j:WARN No appenders could be found for logger

(org.apache.hadoop.metrics2.lib.MutableMetricsFactory). log4j:WARN

Please initialize the log4j system properly. log4j:WARN See

http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.

Using Spark’s repl log4j profile:

org/apache/spark/log4j-defaults-repl.properties To adjust logging

level use sc.setLogLevel(“INFO”) Welcome to

__

/ / _ _/ /__

\ \/ \/ _ `/ / ‘/ // ._/_,// //_\ version 1.6.1

/_/

Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java

1.7.0_80) Type in expressions to have them evaluated. Type :help for more information. Spark context available as sc. 16/05/31 05:58:36

WARN Connection: BoneCP specified but not present in CLASSPATH (or one

of dependencies) 16/05/31 05:58:37 WARN Connection: BoneCP specified

but not present in CLASSPATH (or one of dependencies) 16/05/31

05:58:45 WARN ObjectStore: Version information not found in metastore.

hive.metastore.schema.verification is not enabled so recording the

schema version 1.2.0 16/05/31 05:58:46 WARN ObjectStore: Failed to get

database default, returning NoSuchObjectException 16/05/31 05:58:50

WARN Connection: BoneCP specified but not present in CLASSPATH (or one

of dependencies) 16/05/31 05:58:51 WARN Connection: BoneCP specified

but not present in CLASSPATH (or one of dependencies) 16/05/31

05:58:57 WARN ObjectStore: Version information not found in metastore.

hive.metastore.schema.verification is not enabled so recording the

schema version 1.2.0 16/05/31 05:58:58 WARN ObjectStore: Failed to get

database default, returning NoSuchObjectException SQL context

available as sqlContext.

scala>

可以通过浏览器访问查看：url为maste的Ip:4040,master的Ip:7077