Quick Start

Quick Start

System Requirements

• Linux、Windows
• JDK(1.6以上，推荐1.6)
• Python(推荐Python2.6.X)
• Apache Maven 3.x (Compile DataX)

一、工具下载以及部署

• 方法一、直接下载DataX工具包(如果仅是使用，推荐直接下载)：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}

• 方法二、下载DataX源码，自己编译：DataX源码编译方法

二、配置示例：从stream读取数据并打印到控制台

• 第一步、创建作业的配置文件（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": ""
              }
          }
      }
  }

  命令打印里面包含对应reader、writer的文档地址，以及配置json样例，根据json样例填空完成配置即可。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

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接下来请根据您所需要的插件完成配置，并完成同步。

所有数据源配置指南，请参考：DataX数据源指南