Docker 搭建Spark 依赖singularities/spark:2.2镜像

singularities/spark:2.2版本中

Hadoop版本:2.8.2

Spark版本: 2.2.1

Scala版本:2.11.8

Java版本:1.8.0_151

拉取镜像:

[root@localhost docker-spark-2.1.0]# docker pull singularities/spark

查看:

[root@localhost docker-spark-2.1.0]# docker image ls
REPOSITORY                      TAG                 IMAGE ID            CREATED             SIZE
docker.io/singularities/spark   latest              84222b254621        6 months ago        1.39 GB

创建docker-compose.yml文件

[root@localhost home]# mkdir singularitiesCR
[root@localhost home]# cd singularitiesCR
[root@localhost singularitiesCR]# touch docker-compose.yml

内容:

version: "2"

services:
  master:
    image: singularities/spark
    command: start-spark master
    hostname: master
    ports:
      - "6066:6066"
      - "7070:7070"
      - "8080:8080"
      - "50070:50070"
  worker:
    image: singularities/spark
    command: start-spark worker master
    environment:
      SPARK_WORKER_CORES: 1
      SPARK_WORKER_MEMORY: 2g
    links:
      - master

执行docker-compose up即可启动一个单工作节点的standlone模式下运行的spark集群

[root@localhost singularitiesCR]# docker-compose up -d
Creating singularitiescr_master_1 ... done
Creating singularitiescr_worker_1 ... done

查看容器:

[root@localhost singularitiesCR]# docker-compose ps
          Name                      Command            State                                             Ports                                          
--------------------------------------------------------------------------------------------------------------------------------------------------------
singularitiescr_master_1   start-spark master          Up      10020/tcp, 13562/tcp, 14000/tcp, 19888/tcp, 50010/tcp, 50020/tcp,                        
                                                               0.0.0.0:50070->50070/tcp, 50075/tcp, 50090/tcp, 50470/tcp, 50475/tcp,                    
                                                               0.0.0.0:6066->6066/tcp, 0.0.0.0:7070->7070/tcp, 7077/tcp, 8020/tcp,                      
                                                               0.0.0.0:8080->8080/tcp, 8081/tcp, 9000/tcp                                               
singularitiescr_worker_1   start-spark worker master   Up      10020/tcp, 13562/tcp, 14000/tcp, 19888/tcp, 50010/tcp, 50020/tcp, 50070/tcp, 50075/tcp,  
                                                               50090/tcp, 50470/tcp, 50475/tcp, 6066/tcp, 7077/tcp, 8020/tcp, 8080/tcp, 8081/tcp,       
                                                               9000/tcp           

查看结果:

停止容器:

[root@localhost singularitiesCR]# docker-compose stop
Stopping singularitiescr_worker_1 ... done
Stopping singularitiescr_master_1 ... done
[root@localhost singularitiesCR]# docker-compose ps
          Name                      Command             State     Ports
-----------------------------------------------------------------------
singularitiescr_master_1   start-spark master          Exit 137        
singularitiescr_worker_1   start-spark worker master   Exit 137       

删除容器:

[root@localhost singularitiesCR]# docker-compose rm
Going to remove singularitiescr_worker_1, singularitiescr_master_1
Are you sure? [yN] y
Removing singularitiescr_worker_1 ... done
Removing singularitiescr_master_1 ... done
[root@localhost singularitiesCR]# docker-compose ps
Name   Command   State   Ports
------------------------------

进入master容器查看版本:

[root@localhost singularitiesCR]# docker exec -it 497 /bin/bash
root@master:/# hadoop version
Hadoop 2.8.2
Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r 66c47f2a01ad9637879e95f80c41f798373828fb
Compiled by jdu on 2017-10-19T20:39Z
Compiled with protoc 2.5.0
From source with checksum dce55e5afe30c210816b39b631a53b1d
This command was run using /usr/local/hadoop-2.8.2/share/hadoop/common/hadoop-common-2.8.2.jar
root@master:/# which is hadoop
/usr/local/hadoop-2.8.2/bin/hadoop
root@master:/# spark-shell
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
18/08/14 09:20:44 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Spark context Web UI available at http://172.18.0.2:4040
Spark context available as 'sc' (master = local[*], app id = local-1534238447256).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _ / _ / _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_   version 2.2.1
      /_/
         
Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_151)
Type in expressions to have them evaluated.
Type :help for more information.

参考:

https://github.com/SingularitiesCR/spark-docker

https://blog.csdn.net/u013705066/article/details/80030732

原文地址:https://www.cnblogs.com/hongdada/p/9475406.html