可以使用 Quartz 定时任务框架来实现，以下是一个简单的示例代码：
首先引入相关依赖：
```xml
<dependency>
<groupId>org.quartz-scheduler</groupId>
<artifactId>quartz</artifactId>
<version>2.3.2</version>
</dependency>
<dependency>
<groupId>org.
elasticsearch.client</groupId>
<artifactId>
elasticsearch-
rest-high-level-client</artifactId>
<version>7.0.0</version>
</dependency>
```
然后定义一个 Job 类来执行清理操作：
```java
import org.
elasticsearch.action.
delete.
DeleteR
esponse;
import org.
elasticsearch.action.
deletebyquery.
DeleteByQueryRequ
est;
import org.
elasticsearch.action.
deletebyquery.
DeleteByQueryR
esponse;
import org.
elasticsearch.client.Requ
estOptions;
import org.
elasticsearch.client.
RestHighLevelClient;
import org.
elasticsearch.index.
query.
QueryBuilders;
import org.quartz.Job;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import java.io.IOException;
import java.time.LocalDateTime;
import java.time.ZoneOffset;
import java.util.Date;
public class
EsCleanJob implements Job {
private
RestHighLevelClient
esClient;
public
EsCleanJob(
RestHighLevelClient
esClient) {
this.
esClient =
esClient;
}
@Override
public void execute(JobExecutionContext context) throws JobExecutionException {
System.out.println("开始清理
es数据...");
// 计算30天前的时间戳
LocalDateTime thirtyDaysAgo = LocalDateTime.now().minusDays(30);
long tim
estamp = thirtyDaysAgo.toInstant(ZoneOffset.of("+8")).toEpochMilli();
// 构建
delete by query 请求
DeleteByQueryRequ
est requ
est = new
DeleteByQueryRequ
est("index_name");
requ
est.set
Query(
QueryBuilders.range
Query("mtime").lt(tim
estamp));
// 执行
delete by query 操作
try {
DeleteByQueryR
esponse r
esponse =
esClient.
deleteByQuery(requ
est, Requ
estOptions.DEFAULT);
System.out.println("清理完成，
删除 " + r
esponse.get
Deleted() + " 条
数据");
} catch (IOException e) {
throw new JobExecutionException("清理
es数据失败", e);
}
}
}
```
最后在主函数中启动定时任务：
```java
import org.
elasticsearch.client.
RestHighLevelClient;
import org.quartz.*;
import org.quartz.impl.StdSchedulerFactory;
public class
EsCleanScheduler {
public static void main(String[] args) throws SchedulerException {
// 创建
es 客户端
RestHighLevelClient
esClient = new
RestHighLevelClient(/*
es 配置 */);
// 创建 JobDetail 实例
JobDetail jobDetail = JobBuilder.newJob(
EsCleanJob.class).withIdentity("
esCleanJob").build();
// 创建 Trigger 实例
Trigger trigger = TriggerBuilder.newTrigger()
.withIdentity("
esCleanTrigger")
.withSchedule(Simpl
eScheduleBuilder.repeatSecondlyForever(86400)) // 每隔一天执行一次
.build();
// 创建 Scheduler 实例
SchedulerFactory schedulerFactory = new StdSchedulerFactory();
Scheduler scheduler = schedulerFactory.getScheduler();
scheduler.start();
scheduler.scheduleJob(jobDetail, trigger);
}
}
```
这样就完成了定时清理
es 数据的任务。
本文展示了如何通过REST接口来查询和删除Elasticsearch中的数据。查询操作使用了wildcard查询，针对字段accountID匹配以v*开头的记录。删除操作则通过/_delete_by_query接口，同样基于wildcard查询，删除accountID以V*开头的文档。所有的操作都在Postman中进行了演示。
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