Java通过python命令执行DataX任务的实例

1.安装datax

2.安装python并配置环境变量

3.把mysql2odps.json文件放在datax安装目录的job文件夹下

4.运行Test.java测试

mysql2odps.json文件：

{
  "job": {
    "content": [
      {
 "reader": {
   "name": "mysqlreader",
   "parameter": {
     "username": "$username",
     "password": "$password",
     "where": "optime>='$startDate $startTime' and optime<'$endDate $endTime'",
     "column": ["id","xm"],
     "connection": [
{
  "table": [
    "test"
  ],
  "jdbcUrl": [
    "$jdbcUrl"
  ]
}
     ]
   }
 },
 "writer": {
   "name": "odpswriter",
   "parameter": {
     "accessId": "****************",
     "accessKey": "******************************",
     "column": ["id","xm"],
     "odpsServer": "http://service.odps.xxx.com/api",
     "partition": "bt=$bt,region=$region",
     "project": "dst_project_name",
     "table": "test"
   }
 }
      }
    ],
    "setting": {
      "speed": {
 "channel": 10
      }
    }
  }
}

测试程序（我的datax安装路径为F盘根目录）：

import java.io.BufferedReader;
import java.io.InputStreamReader;

public class Test {

  public static void main(String[] args) {
    try {
      System.out.println("start");
      String windowcmd = "cmd /c python F:/datax/bin/datax.py -p " -Dusername=root -Dpassword=1234 -DjdbcUrl=jdbc:mysql://192.168.1.122:3306/center -Dwhere=left(optime,10)=CURDATE() -Dbt=20171214 -Dregion=beijing " F:/datax/job/mysql2odps.json";
      System.out.println(windowcmd);
      Process pr = Runtime.getRuntime().exec(windowcmd);
      BufferedReader in = new BufferedReader(new InputStreamReader(pr.getInputStream()));
      String line;
      while ((line = in.readLine()) != null) {
 System.out.println(line);
      }
      in.close();
      pr.waitFor();
      System.out.println("end");
    } catch (Exception e) {
      e.printStackTrace();
    }
  }

}

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