​ElasticJob​​​的作业分类基于​​class​​​和​​type​​​两种类型。基于​​class​​​的作业需要开发者自行通过实现接口的方式织入业务逻辑;基于​​type​​​的作业则无需编码,只需要提供相应配置即可。基于​​class​​​的作业接口的方法参数​​shardingContext​​​包含作业配置、片和运行时信息。可通过​​getShardingTotalCount()​​​、​​getShardingItem()​​等方法分别获取分片总数和运行在本作业服务器的分片序列号等。

​ElasticJob​​​目前提供​​Simple​​​、​​Dataflow​​​这两种基于​​class​​​的作业类型,并提供​​Script​​​、​​HTTP​​​这两种基于​​type​​​的作业类型,用户可通过实现​​SPI​​接口自行扩展作业类型。

本篇博客介绍​​HTTP​​作业。

添加依赖(​​3.0.1​​​是目前最新的​​Releases​​版本):

<dependency>
<groupId>org.apache.shardingsphere.elasticjob</groupId>
<artifactId>elasticjob-lite-core</artifactId>
<version>3.0.1</version>
</dependency>

HTTP作业

先搭建一个​​Spring Boot​​项目,在项目中定义一个接口。

​pom.xml​​:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>

<groupId>com.kaven</groupId>
<artifactId>server</artifactId>
<packaging>pom</packaging>
<version>1.0-SNAPSHOT</version>

<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.3.2.RELEASE</version>
</parent>

<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
</dependencies>
</project>

​MessageController​​接口定义:

package com.kaven.controller;

import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestHeader;
import org.springframework.web.bind.annotation.RestController;

import java.text.SimpleDateFormat;
import java.util.Date;

/**
* @Author: ITKaven
* @Date: 2021/12/06 19:29
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/

@RestController
public class MessageController {
private static final SimpleDateFormat formatter =new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
private static final String MESSAGE_HEAD = "MessageController";

@GetMapping("/message")
public String getMessage(String messageBody, @RequestHeader String shardingContext) {
String message = MESSAGE_HEAD + " " + messageBody;
System.out.println(formatter.format(new Date()) + " " + message + " - " + shardingContext);
return message;
}
}

​Server​​启动类:

package com.kaven;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

/**
* @Author: ITKaven
* @Date: 2021/12/06 19:28
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/

@SpringBootApplication
public class Server {
public static void main(String[] args) {
SpringApplication.run(Server.class);
}
}

​Application​​类:

package com.kaven.job;

import org.apache.shardingsphere.elasticjob.api.JobConfiguration;
import org.apache.shardingsphere.elasticjob.http.props.HttpJobProperties;
import org.apache.shardingsphere.elasticjob.lite.api.bootstrap.impl.ScheduleJobBootstrap;
import org.apache.shardingsphere.elasticjob.reg.base.CoordinatorRegistryCenter;
import org.apache.shardingsphere.elasticjob.reg.zookeeper.ZookeeperConfiguration;
import org.apache.shardingsphere.elasticjob.reg.zookeeper.ZookeeperRegistryCenter;

/**
* @Author: ITKaven
* @Date: 2021/11/20 17:05
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/
public class Application {
public static void main(String[] args) {
new ScheduleJobBootstrap(createRegistryCenter(), "HTTP",
createJobConfiguration()).schedule();
}
private static CoordinatorRegistryCenter createRegistryCenter() {
ZookeeperConfiguration zc = new ZookeeperConfiguration("192.168.1.184:9000", "my-job");
zc.setConnectionTimeoutMilliseconds(40000);
zc.setMaxRetries(5);
CoordinatorRegistryCenter regCenter = new ZookeeperRegistryCenter(zc);
regCenter.init();
return regCenter;
}

private static JobConfiguration createJobConfiguration() {
return JobConfiguration.newBuilder("MyHTTPJob", 3)
.description("HTTP作业")
.cron("30 * * * * ?")
.setProperty(HttpJobProperties.URI_KEY, "http://localhost:8080/message?messageBody=MyHTTPJob")
.setProperty(HttpJobProperties.METHOD_KEY, "GET")
// .setProperty(HttpJobProperties.DATA_KEY, "messageBody=MyHTTPJob")
.overwrite(true)
.failover(true)
.build();
}
}

定义​​HTTP​​​作业也比较简单,只需要设置​​HTTP​​​作业的相关参数,比如接口的​​URI​​​、类型、参数以及连接超时时间等,​​HttpJobProperties.DATA_KEY​​​用于给​​POST​​这类请求设置参数。

.setProperty(HttpJobProperties.URI_KEY, "http://localhost:8080/message?messageBody=MyHTTPJob")
.setProperty(HttpJobProperties.METHOD_KEY, "GET")
// .setProperty(HttpJobProperties.DATA_KEY, "messageBody=MyHTTPJob")

​HttpJobProperties​​类:

package org.apache.shardingsphere.elasticjob.http.props;

/**
* HTTP job properties.
*/
public final class HttpJobProperties {
public static final String URI_KEY = "http.uri";
public static final String METHOD_KEY = "http.method";
public static final String DATA_KEY = "http.data";
public static final String CONNECT_TIMEOUT_KEY = "http.connect.timeout.milliseconds";
public static final String READ_TIMEOUT_KEY = "http.read.timeout.milliseconds";
public static final String CONTENT_TYPE_KEY = "http.content.type";
public static final String SHARDING_CONTEXT_KEY = "shardingContext";
}

输出如下图所示:

ElasticJob‐Lite:HTTP作业_http

多参数接口

如果​​GET​​​接口有多个参数,在​​URI​​上进行拼接即可。

.setProperty(HttpJobProperties.URI_KEY, "http://localhost:8080/message?arg1=1&arg2=2")

而如果是​​POST​​​接口有多个参数,就不能多次调用​​setProperty(HttpJobProperties.DATA_KEY, "key=value")​​​来完成多个参数的传值,因为值会被覆盖(即只会取最后一次设置的值,​​ElasticJob​​​使用​​Java​​​的​​Properties​​​来存储参数,而​​Properties​​​继承​​Hashtable​​​,当键相同时,值会被覆盖,而参数的键都是​​HttpJobProperties.DATA_KEY​​)。

private static JobConfiguration createJobConfiguration() {
return JobConfiguration.newBuilder("MyHTTPJob", 3)
.description("HTTP作业")
.cron("30 * * * * ?")
.setProperty(HttpJobProperties.URI_KEY, "http://localhost:8080/message")
.setProperty(HttpJobProperties.METHOD_KEY, "POST")
.setProperty(HttpJobProperties.DATA_KEY, "arg1=1")
.setProperty(HttpJobProperties.DATA_KEY, "arg2=2")
.overwrite(true)
.failover(true)
.build();
}

接口:

package com.kaven.controller;

import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RestController;

/**
* @Author: ITKaven
* @Date: 2021/12/06 19:29
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/

@RestController
public class MessageController {
@PostMapping("/message")
public void getMessage(String arg1, String arg2) {
System.out.println(arg1 + arg2);
}
}

输出如下图所示:

ElasticJob‐Lite:HTTP作业_java_02


第一个参数被覆盖了,所以为​​null​​​,因此给​​POST​​​接口传多个参数,博主想到的方法是将多个参数组合成一个实例,再将其转换成​​JSON​​​字符串,接口那边再将这个​​JSON​​字符串转换成对应的实例。大家如果有更好的方法可以评论区留言。

添加依赖:

<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.9</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.22</version>
<scope>provided</scope>
</dependency>

存储多个参数的​​Data​​类:

package com.kaven.job.data;

import lombok.*;

/**
* @Author: ITKaven
* @Date: 2021/12/07 14:33
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/

@Setter
@AllArgsConstructor
@NoArgsConstructor
@Builder
@ToString
public class Data {
private String username;
private String password;
private School school;

@Setter
@AllArgsConstructor
@NoArgsConstructor
@Builder
@ToString
public static class School{
private String name;
private String address;
}
}

​Application​​类:

package com.kaven.job;

import com.google.gson.Gson;
import com.kaven.job.data.Data;
import org.apache.shardingsphere.elasticjob.api.JobConfiguration;
import org.apache.shardingsphere.elasticjob.http.props.HttpJobProperties;
import org.apache.shardingsphere.elasticjob.lite.api.bootstrap.impl.ScheduleJobBootstrap;
import org.apache.shardingsphere.elasticjob.reg.base.CoordinatorRegistryCenter;
import org.apache.shardingsphere.elasticjob.reg.zookeeper.ZookeeperConfiguration;
import org.apache.shardingsphere.elasticjob.reg.zookeeper.ZookeeperRegistryCenter;

/**
* @Author: ITKaven
* @Date: 2021/11/20 17:05
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/
public class Application {
public static void main(String[] args) {
new ScheduleJobBootstrap(createRegistryCenter(), "HTTP",
createJobConfiguration()).schedule();
}
private static CoordinatorRegistryCenter createRegistryCenter() {
ZookeeperConfiguration zc = new ZookeeperConfiguration("192.168.1.184:9000", "my-job");
zc.setConnectionTimeoutMilliseconds(40000);
zc.setMaxRetries(5);
CoordinatorRegistryCenter regCenter = new ZookeeperRegistryCenter(zc);
regCenter.init();
return regCenter;
}

private static JobConfiguration createJobConfiguration() {
Data data = Data.builder()
.username("kaven")
.password("itkaven")
.school(Data.School.builder().name("xxx").address("中国").build())
.build();
String dataStr = (new Gson()).toJson(data);
System.out.println(dataStr);
return JobConfiguration.newBuilder("MyHTTPJob", 3)
.description("HTTP作业")
.cron("30 * * * * ?")
.setProperty(HttpJobProperties.URI_KEY, "http://localhost:8080/message")
.setProperty(HttpJobProperties.METHOD_KEY, "POST")
.setProperty(HttpJobProperties.DATA_KEY, "args=" + dataStr)
.overwrite(true)
.failover(true)
.build();
}
}

下面这部分就是将要传的多个参数组合成​​Data​​​实例,然后再将其转换成​​JSON​​字符串。

Data data = Data.builder()
.username("kaven")
.password("itkaven")
.school(Data.School.builder().name("xxx").address("中国").build())
.build();
String dataStr = (new Gson()).toJson(data);

接口(将​​JSON​​​字符串再转换成想要的包含多个参数信息的​​Data​​实例):

package com.kaven.controller;

import com.google.gson.Gson;
import com.kaven.data.Data;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestHeader;
import org.springframework.web.bind.annotation.RestController;

import java.text.SimpleDateFormat;
import java.util.Date;

/**
* @Author: ITKaven
* @Date: 2021/12/06 19:29
* @Leetcode: https://leetcode-cn.com/u/kavenit
* @Notes:
*/

@RestController
public class MessageController {
private static final SimpleDateFormat formatter =new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
private static final String MESSAGE_HEAD = "MessageController";

@PostMapping("/message")
public void getMessage(String args, @RequestHeader String shardingContext) {
Gson gson = new Gson();
Data data = gson.fromJson(args, Data.class);
System.out.println(formatter.format(new Date()) + " " + data + " " + shardingContext);
}
}

输出如下图所示:

ElasticJob‐Lite:HTTP作业_spring boot_03


​HTTP​​作业就介绍到这里,如果博主有说错的地方或者大家有不同的见解,欢迎大家评论补充。