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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