System Requirements

• Linux
• JDK(1.8以上，推荐1.8)
• Python(推荐Python2.6.X)
• Apache Maven 3.x (Compile DataX)

Quick Start

• 工具部署

  • 方法一、直接下载DataX工具包：DataX下载地址

    下载后解压至本地某个目录，进入bin目录，即可运行同步作业：

    $ cd  {YOUR_DATAX_HOME}/bin
    $ python datax.py {YOUR_JOB.json}

    自检脚本：
    python {YOUR_DATAX_HOME}/bin/datax.py {YOUR_DATAX_HOME}/job/job.json

  • 方法二、下载DataX源码，自己编译：DataX源码

    (1)、下载DataX源码：

    $ git clone git@github.com:alibaba/DataX.git

    (2)、通过maven打包：

    $ cd  {DataX_source_code_home}
    $ mvn -U clean package assembly:assembly -Dmaven.test.skip=true

    打包成功，日志显示如下：

    [INFO] BUILD SUCCESS
    [INFO] -----------------------------------------------------------------
    [INFO] Total time: 08:12 min
    [INFO] Finished at: 2015-12-13T16:26:48+08:00
    [INFO] Final Memory: 133M/960M
    [INFO] -----------------------------------------------------------------

    打包成功后的DataX包位于 {DataX_source_code_home}/target/datax/datax/ ，结构如下：

    $ cd  {DataX_source_code_home}
    $ ls ./target/datax/datax/
    bin        conf        job        lib        log        log_perf    plugin        script        tmp

• 配置示例：从stream读取数据并打印到控制台

  • 第一步、创建创业的配置文件（json格式）

    可以通过命令查看配置模板： python datax.py -r {YOUR_READER} -w {YOUR_WRITER}

    $ cd  {YOUR_DATAX_HOME}/bin
    $  python datax.py -r streamreader -w streamwriter
    DataX (UNKNOWN_DATAX_VERSION), From Alibaba !
    Copyright (C) 2010-2015, Alibaba Group. All Rights Reserved.
    Please refer to the streamreader document:
        https://github.com/alibaba/DataX/blob/master/streamreader/doc/streamreader.md 
    
    Please refer to the streamwriter document:
         https://github.com/alibaba/DataX/blob/master/streamwriter/doc/streamwriter.md 
    
    Please save the following configuration as a json file and  use
         python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json 
    to run the job.
    
    {
        "job": {
            "content": [
                {
                    "reader": {
                        "name": "streamreader", 
                        "parameter": {
                            "column": [], 
                            "sliceRecordCount": ""
                        }
                    }, 
                    "writer": {
                        "name": "streamwriter", 
                        "parameter": {
                            "encoding": "", 
                            "print": true
                        }
                    }
                }
            ], 
            "setting": {
                "speed": {
                    "channel": ""
                }
            }
        }
    }

    根据模板配置json如下：

    #stream2stream.json
    {
      "job": {
        "content": [
          {
            "reader": {
              "name": "streamreader",
              "parameter": {
                "sliceRecordCount": 10,
                "column": [
                  {
                    "type": "long",
                    "value": "10"
                  },
                  {
                    "type": "string",
                    "value": "hello，你好，世界-DataX"
                  }
                ]
              }
            },
            "writer": {
              "name": "streamwriter",
              "parameter": {
                "encoding": "UTF-8",
                "print": true
              }
            }
          }
        ],
        "setting": {
          "speed": {
            "channel": 5
           }
        }
      }
    }

  • 第二步：启动DataX

    $ cd {YOUR_DATAX_DIR_BIN}
    $ python datax.py ./stream2stream.json 

    同步结束，显示日志如下：

    ...
    2015-12-17 11:20:25.263 [job-0] INFO  JobContainer - 
    任务启动时刻                    : 2015-12-17 11:20:15
    任务结束时刻                    : 2015-12-17 11:20:25
    任务总计耗时                    :                 10s
    任务平均流量                    :              205B/s
    记录写入速度                    :              5rec/s
    读出记录总数                    :                  50
    读写失败总数                    :                   0

Contact us

Google Groups: DataX-user