Java通过python命令执行DataX任务

╰半夏微凉° 2022-06-03 05:16 357阅读 0赞

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();
            }
        }
    
    }