ElasticSearch 6.x 学习笔记：28.Java API之文档批量操作

package cn.hadron;

import cn.hadron.es.ESUtil;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.get.MultiGetItemResponse;
import org.elasticsearch.action.get.MultiGetResponse;
import org.elasticsearch.client.transport.TransportClient;

public class MultiGetDemo {
    public static void main(String[] args) throws Exception{
        TransportClient client= ESUtil.getClient();
        MultiGetResponse mgResponse = client.prepareMultiGet()
                .add("index1","blog","1","2")
                .add("my-index","persion","1","2","2")
                .get();
        for(MultiGetItemResponse response:mgResponse){
            GetResponse rp=response.getResponse();
            if(rp!=null && rp.isExists()){
                System.out.println(rp.getSourceAsString());
            }
        }
    }
}

{"id":"1","title":"装饰模式","content":"动态地扩展一个对象的功能","postdate":"2018-02-03 14:38:10","url":"csdn.net/79239072"}
{"id":"2","title":"单例模式解读","content":"枚举单例模式可以防反射攻击。","postdate":"2018-02-03 19:27:00","url":"csdn.net/79247746"}
{
  "name":"张三",
  "age":27,
  "gender":"男",
  "salary":15000,
  "dep":"bigdata"
}

{
  "name":"李四",
  "age":26,
  "gender":"女",
  "salary":15000,
  "dep":"bigdata"
}

{
  "name":"李四",
  "age":26,
  "gender":"女",
  "salary":15000,
  "dep":"bigdata"
}

package cn.hadron;

import cn.hadron.es.ESUtil;
import org.elasticsearch.action.bulk.BulkRequestBuilder;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.client.transport.TransportClient;

import java.util.Date;

import static org.elasticsearch.common.xcontent.XContentFactory.*;
public class BulkDemo {
    public static void main(String[] args) throws Exception{
        TransportClient client= ESUtil.getClient();
        BulkRequestBuilder bulkRequest = client.prepareBulk();

        bulkRequest.add(client.prepareIndex("twitter", "tweet", "1")
                .setSource(jsonBuilder()
                        .startObject()
                        .field("user", "kimchy")
                        .field("postDate", new Date())
                        .field("message", "trying out Elasticsearch")
                        .endObject()
                )
        );
        bulkRequest.add(client.prepareIndex("twitter", "tweet", "2")
                .setSource(jsonBuilder()
                        .startObject()
                        .field("user", "kimchy")
                        .field("postDate", new Date())
                        .field("message", "another post")
                        .endObject()
                )
        );
        //批量执行
        BulkResponse bulkResponse = bulkRequest.get();
        System.out.println(bulkResponse.status());
        if (bulkResponse.hasFailures()) {
            // process failures by iterating through each bulk response item
            System.out.println("存在失败操作");
        }
    }
}

package cn.hadron;
import cn.hadron.es.ESUtil;
import org.elasticsearch.action.bulk.BackoffPolicy;
import org.elasticsearch.action.bulk.BulkProcessor;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.unit.ByteSizeUnit;
import org.elasticsearch.common.unit.ByteSizeValue;
import org.elasticsearch.common.unit.TimeValue;

import java.util.Date;

import static org.elasticsearch.common.xcontent.XContentFactory.jsonBuilder;

public class BulkProcessorDemo {
    public static void main(String[] args) throws Exception{
        TransportClient client= ESUtil.getClient();
        BulkProcessor bulkProcessor = BulkProcessor.builder(
                client,
                new BulkProcessor.Listener() {
                    @Override
                    public void beforeBulk(long executionId,BulkRequest request) {
                        //设置bulk批处理的预备工作
                        System.out.println("请求数:"+request.numberOfActions());
                    }
                    @Override
                    public void afterBulk(long executionId,BulkRequest request,BulkResponse response) {
                        //设置bulk批处理的善后工作
                        if(!response.hasFailures()) {
                            System.out.println("执行成功！");
                        }else {
                            System.out.println("执行失败！");
                        }
                    }
                    @Override
                    public void afterBulk(long executionId,BulkRequest request,Throwable failure) {
                        //设置bulk批处理的异常处理工作
                        System.out.println(failure);
                    }
                })
                .setBulkActions(1000)//设置提交批处理操作的请求阀值数
                .setBulkSize(new ByteSizeValue(5, ByteSizeUnit.MB))//设置提交批处理操作的请求大小阀值
                .setFlushInterval(TimeValue.timeValueSeconds(5))//设置刷新索引时间间隔
                .setConcurrentRequests(1)//设置并发处理线程个数
                //设置回滚策略，等待时间100ms,retry次数为3次
                .setBackoffPolicy(BackoffPolicy.exponentialBackoff(TimeValue.timeValueMillis(100), 3))
                .build();
        // Add your requests
        bulkProcessor.add(new DeleteRequest("twitter", "tweet", "1"));
        bulkProcessor.add(new DeleteRequest("twitter", "tweet", "2"));
        // 刷新所有请求
        bulkProcessor.flush();
        // 关闭bulkProcessor
        bulkProcessor.close();
        // 刷新索引
        client.admin().indices().prepareRefresh().get();
        // Now you can start searching!
        client.prepareSearch().get();
    }
}

GET twitter/_search

{
  "took": 6,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 0,
    "max_score": null,
    "hits": []
  }
}

package cn.hadron;

import cn.hadron.es.ESUtil;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.reindex.BulkByScrollResponse;
import org.elasticsearch.index.reindex.DeleteByQueryAction;

public class DeleteByQueryDemo {
    public static void main(String[] args){
        TransportClient client= ESUtil.getClient();
        BulkByScrollResponse response =DeleteByQueryAction.INSTANCE
                .newRequestBuilder(client)
                .filter(QueryBuilders.matchQuery("title", "模式"))
                .source("index1")//设置索引名称
                .get();
        //被删除文档数目
        long deleted = response.getDeleted();
        System.out.println(deleted);
    }
}

no modules loaded
loaded plugin [org.elasticsearch.index.reindex.ReindexPlugin]
loaded plugin [org.elasticsearch.join.ParentJoinPlugin]
loaded plugin [org.elasticsearch.percolator.PercolatorPlugin]
loaded plugin [org.elasticsearch.script.mustache.MustachePlugin]
loaded plugin [org.elasticsearch.transport.Netty4Plugin]
2

Process finished with exit code 0

GET index1/_search

{
  "took": 2,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 0,
    "max_score": null,
    "hits": []
  }
}