System Requirements

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

作者:Jeebiz  创建时间:2020-05-02 15:09
 更新时间:2024-07-10 22:55