Hadoop+Spark:集群环境搭建

时间:2021-08-07 08:21:58
  • 环境准备:

在虚拟机下,大家三台Linux ubuntu 14.04 server x64 系统(下载地址:http://releases.ubuntu.com/14.04.2/ubuntu-14.04.2-server-amd64.iso):

192.168.1.200 master

192.168.1.201 node1

192.168.1.202 node2

  • 在Master上安装Spark环境:

Spark集群环境搭建:

搭建hadoop集群使用hadoop版本是hadoop2.6.4(这里hadoop我已经安装完成,具体如何安装hadoop具体请参考我的文章:《Hadoop:搭建hadoop集群》)

搭建spark这里使用spark版本是spark1.6.2(spark-1.6.2-bin-hadoop2.6.tgz)

1、下载安装包到master虚拟服务器:

在线下载:

hadoop@master:~/ wget http://mirror.bit.edu.cn/apache/spark/spark-1.6.2/spark-1.6.2-bin-hadoop2.6.tgz

离线上传到集群:

Hadoop+Spark:集群环境搭建

2、解压spark安装包到master虚拟服务器/usr/local/spark下,并分配权限:

#解压到/usr/local/下
hadoop@master:~$ sudo tar -zxvf spark-1.6.2-bin-hadoop2.6.tgz -C /usr/local/
hadoop@master:~$ cd /usr/local/
hadoop@master:/usr/local$ ls
bin games include man share src
etc hadoop lib sbin spark-1.6.2-bin-hadoop2.6
#重命名 为spark
hadoop@master:/usr/local$ sudo mv spark-1.6.2-bin-hadoop2.6/ spark/
hadoop@master:/usr/local$ ls
bin etc games hadoop include lib man sbin share spark src
#分配权限
hadoop@master:/usr/local$ sudo chown -R hadoop:hadoop spark
hadoop@master:/usr/local$

3、在master虚拟服务器/etc/profile中添加Spark环境变量:

 编辑/etc/profile文件

sudo vim /etc/profile

在尾部添加$SPARK_HOME变量,添加后,目前我的/etc/profile文件尾部内容如下:

export JAVA_HOME=/usr/lib/jvm/java-8-oracle
export JRE_HOME=/usr/lib/jvm/java-8-oracle
export SCALA_HOME=/opt/scala/scala-2.10.5
# add hadoop bin/ directory to PATH
export HADOOP_HOME=/usr/local/hadoop
export SPARK_HOME=/usr/local/spark
export PATH=$JAVA_HOME/bin:$JAVA_HOME/jre/bin:$JAVA_HOME:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$SCALA_HOME/bin:$SPARK_HOME/bin:$PATH
export CLASSPATH=$CLASS_PATH::$JAVA_HOME/lib:$JAVA_HOME/jre/lib

生效:

source /etc/profile
  • 在Master配置Spark:

1、配置master虚拟服务器hadoop-env.sh文件:

sudo vim /usr/local/spark/conf/hadoop-env.sh

注意:默认情况下没有hadoop-env.sh和slaves文件,而是*.template文件,需要重命名:

hadoop@master:/usr/local/spark/conf$ ls
docker.properties.template metrics.properties.template spark-env.sh
fairscheduler.xml.template slaves.template
log4j.properties.template spark-defaults.conf.template
hadoop@master:/usr/local/spark/conf$ sudo vim spark-env.sh
hadoop@master:/usr/local/spark/conf$ mv slaves.template slaves

在文件末尾追加如下内容:

export STANDALONE_SPARK_MASTER_HOST=192.168.1.200
export SPARK_MASTER_IP=192.168.1.200
export SPARK_WORKER_CORES=1
#every slave node start work instance count
export SPARK_WORKER_INSTANCES=1
export SPARK_MASTER_PORT=7077
export SPARK_WORKER_MEMORY=1g
export MASTER=spark://${SPARK_MASTER_IP}:${SPARK_MASTER_PORT}
export SCALA_HOME=/opt/scala/scala-2.10.5
export JAVA_HOME=/usr/lib/jvm/java-8-oracle
export SPARK_HISTORY_OPTS="-Dspark.history.fs.logDirectory=hdfs://192.168.1.200:9000/SparkEventLog"
export SPARK_WORKDER_OPTS="-Dspark.worker.cleanup.enabled=true"
export HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop

2、配置master虚拟服务器下slaves文件:

sudo vim /usr/local/spark/conf/slaves

在slaves文件中内容如下:

192.168.1.201
192.168.1.202

注意:每行写一个机器的ip。

3、Master虚拟机下/usr/local/spark/目录下创建logs文件夹,并分配777权限:

hadoop@master:/usr/local/spark$ mkdir logs
hadoop@master:/usr/local/spark$ chmod 777 logs
  • 复制Master虚拟服务器上的/usr/loca/spark下文件到所有slaves节点(node1、node2)下:

1、复制Master虚拟服务器上/usr/local/spark/安装文件到各个salves(node1、node2)上:

注意:拷贝钱需要在ssh到所有salves节点(node1、node2)上,创建/usr/local/spark/目录,并分配777权限。

hadoop@master:/usr/local/spark/conf$ cd ~/
hadoop@master:~$ sudo chmod 777 /usr/local/spark
hadoop@master:~$ scp -r /usr/local/spark hadoop@node1:/usr/local
scp: /usr/local/spark: Permission denied
hadoop@master:~$ sudo scp -r /usr/local/spark hadoop@node1:/usr/local
hadoop@node1's password:
scp: /usr/local/spark: Permission denied
hadoop@master:~$ sudo chmod 777 /usr/local/spark
hadoop@master:~$ ssh node1
Welcome to Ubuntu 14.04.2 LTS (GNU/Linux 3.16.0-30-generic x86_64) * Documentation: https://help.ubuntu.com/ System information as of Fri Sep 23 16:40:31 UTC 2016 System load: 0.08 Processes: 400
Usage of /: 12.2% of 17.34GB Users logged in: 0
Memory usage: 5% IP address for eth0: 192.168.1.201
Swap usage: 0% Graph this data and manage this system at:
https://landscape.canonical.com/ New release '16.04.1 LTS' available.
Run 'do-release-upgrade' to upgrade to it. Last login: Wed Sep 21 16:19:25 2016 from master
hadoop@node1:~$ cd /usr/local/
hadoop@node1:/usr/local$ sudo mkdir spark
[sudo] password for hadoop:
hadoop@node1:/usr/local$ ls
bin etc games hadoop include lib man sbin share spark src
hadoop@node1:/usr/local$ sudo chmod 777 ./spark
hadoop@node1:/usr/local$ exit
hadoop@master:~$ scp -r /usr/local/spark hadoop@node1:/usr/local
...........
hadoop@master:~$ ssh node2
Welcome to Ubuntu 14.04.2 LTS (GNU/Linux 3.16.0-30-generic x86_64) * Documentation: https://help.ubuntu.com/ System information as of Fri Sep 23 16:15:03 UTC 2016 System load: 0.08 Processes: 435
Usage of /: 13.0% of 17.34GB Users logged in: 0
Memory usage: 6% IP address for eth0: 192.168.1.202
Swap usage: 0% Graph this data and manage this system at:
https://landscape.canonical.com/ Last login: Wed Sep 21 16:19:47 2016 from master
hadoop@node2:~$ cd /usr/local
hadoop@node2:/usr/local$ sudo mkdir spark
[sudo] password for hadoop:
hadoop@node2:/usr/local$ sudo chmod 777 ./spark
hadoop@node2:/usr/local$ exit
logout
Connection to node2 closed.
hadoop@master:~$ scp -r /usr/local/spark hadoop@node2:/usr/local
...........

2、修改所有salves节点(node1、node2)上/etc/profile,追加$SPARK_HOME环境变量:

注意:一般都会遇到权限问题。最好登录到各个salves节点(node1、node2)上手动编辑/etc/profile。

hadoop@master:~$ ssh node1
Welcome to Ubuntu 14.04.2 LTS (GNU/Linux 3.16.0-30-generic x86_64) * Documentation: https://help.ubuntu.com/ System information as of Fri Sep 23 16:42:44 UTC 2016 System load: 0.01 Processes: 400
Usage of /: 12.2% of 17.34GB Users logged in: 0
Memory usage: 5% IP address for eth0: 192.168.1.201
Swap usage: 0% Graph this data and manage this system at:
https://landscape.canonical.com/ New release '16.04.1 LTS' available.
Run 'do-release-upgrade' to upgrade to it. Last login: Fri Sep 23 16:40:52 2016 from master
hadoop@node1:~$ sudo vim /etc/profile
[sudo] password for hadoop:
hadoop@node1:~$ exit
logout
Connection to node1 closed.
hadoop@master:~$ ssh node2
Welcome to Ubuntu 14.04.2 LTS (GNU/Linux 3.16.0-30-generic x86_64) * Documentation: https://help.ubuntu.com/ System information as of Fri Sep 23 16:44:42 UTC 2016 System load: 0.0 Processes: 400
Usage of /: 13.0% of 17.34GB Users logged in: 0
Memory usage: 5% IP address for eth0: 192.168.1.202
Swap usage: 0% Graph this data and manage this system at:
https://landscape.canonical.com/ New release '16.04.1 LTS' available.
Run 'do-release-upgrade' to upgrade to it. Last login: Fri Sep 23 16:43:31 2016 from master
hadoop@node2:~$ sudo vim /etc/profile
[sudo] password for hadoop:
hadoop@node2:~$ exit
logout
Connection to node2 closed.
hadoop@master:~$

修改后的所有salves上/etc/profile文件与master节点上/etc/profile文件配置一致。

  • 在Master启动spark并验证是否配置成功:

1、启动命令:

一般要确保hadoop已经启动,之后才启动spark

hadoop@master:~$ cd /usr/local/spark/
hadoop@master:/usr/local/spark$ ./sbin/start-all.sh

2、验证是否启动成功:

方法一、jps

hadoop@master:/usr/local/spark$ ./sbin/start-all.sh
starting org.apache.spark.deploy.master.Master, logging to /usr/local/spark/logs/spark-hadoop-org.apache.spark.deploy.master.Master--master.out
192.168.1.201: starting org.apache.spark.deploy.worker.Worker, logging to /usr/local/spark/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker--node1.out
192.168.1.202: starting org.apache.spark.deploy.worker.Worker, logging to /usr/local/spark/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker--node2.out
hadoop@master:/usr/local/spark$ jps
NameNode
SecondaryNameNode
Jps
ResourceManager
Master
hadoop@master:/usr/local/spark$ cd ~/
hadoop@master:~$ ssh node1
Welcome to Ubuntu 14.04. LTS (GNU/Linux 3.16.--generic x86_64) * Documentation: https://help.ubuntu.com/ System information as of Fri Sep :: UTC System load: 0.06 Processes:
Usage of /: 13.9% of .34GB Users logged in:
Memory usage: % IP address for eth0: 192.168.1.201
Swap usage: % Graph this data and manage this system at:
https://landscape.canonical.com/ New release '16.04.1 LTS' available.
Run 'do-release-upgrade' to upgrade to it. Last login: Fri Sep :: from master
hadoop@node1:~$ jps
1392 DataNode
2449 Jps
2330 Worker
2079 NodeManager
hadoop@node1:~
$ exit
logout
Connection to node1 closed.
hadoop@master:~$ ssh node2
Welcome to Ubuntu 14.04. LTS (GNU/Linux 3.16.--generic x86_64) * Documentation: https://help.ubuntu.com/ System information as of Fri Sep :: UTC System load: 0.07 Processes:
Usage of /: 14.7% of .34GB Users logged in:
Memory usage: % IP address for eth0: 192.168.1.202
Swap usage: % Graph this data and manage this system at:
https://landscape.canonical.com/ New release '16.04.1 LTS' available.
Run 'do-release-upgrade' to upgrade to it. Last login: Fri Sep :: from master
hadoop@node2:~$ jps
Worker
NodeManager
DataNode
Jps
hadoop@node2:~$

方法二、web方式http://192.168.1.200:8080看是否正常:

Hadoop+Spark:集群环境搭建