前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >elasticsearch2.2之javaApi

elasticsearch2.2之javaApi

作者头像
王念博客
发布2019-07-24 10:38:09
5700
发布2019-07-24 10:38:09
举报
文章被收录于专栏:王念博客王念博客

前言:elasticsearch虽然自带rest接口,但是在真正使用过程中可能更多的是通过不同编程语言的客户端进行交互。

因为代码里有或多或少的注释,所以直接贴代码:

代码语言:javascript
复制
package elasticsearcha;

import com.alibaba.fastjson.JSON;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import entity.User;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.get.MultiGetItemResponse;
import org.elasticsearch.action.get.MultiGetResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.MultiSearchResponse;
import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.Client;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.junit.Test;
import java.net.InetAddress;
import java.util.Date;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;

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

/**
 * Created by wangnian on 2016/5/29.
 */
public class EsTest {

    Client client = getClient("192.168.1.55");

    //创建客户端
    public Client getClient(String host) {
        try {
            Client client = TransportClient.builder().build()
                    .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName(host), 9300));
            return client;
        } catch (Exception ex) {
            System.out.println(ex);
        }
        return null;
    }

    /**
     * 将对象通过jackson.databind转换成byte[]
     * 注意一下date类型需要格式化处理  默认是 时间戳
     *
     * @return
     */
    public byte[] convertByteArray(Object obj) {
        ObjectMapper mapper = new ObjectMapper(); // create once, reuse
        try {
            byte[] json = mapper.writeValueAsBytes(obj);
            return json;
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        }
        return null;
    }

    /**
     * 将对象通过JSONtoString转换成JSON字符串
     * 使用fastjson 格式化注解  在属性上加入 @JSONField(format="yyyy-MM-dd HH:mm:ss")
     *
     * @return
     */
    public String jsonStr(Object obj) {
        return JSON.toJSONString(obj);
    }

    /**
     * 增删改查
     *
     * @throws Exception
     */
    @Test
    public void test() throws Exception {
        Map<String, Object> json = new HashMap<String, Object>();
        json.put("name", "wangnian11");
        json.put("postDate", new Date());
        json.put("message", "trying out Elasticsearch");

        User user = new User();
        user.setId(2);
        user.setName("更新第一条");
        user.setPostDate(new Date());
        user.setMessage("这是一个测试的数据");

        IndexResponse response = client.prepareIndex("index", "user", user.getId().toString())//参数说明: 索引,类型 ,_id
                .setSource(jsonStr(user))//setSource可以传以上map string  byte[] 几种方式
                .get();
        boolean created = response.isCreated();
        System.out.println("创建一条记录:" + created);

        //删除_id为1的类型
        DeleteResponse response2 = client.prepareDelete("index", "user", "2").get();
        System.out.println("删除一条数据:" + response2.isFound());

        //更新
        UpdateResponse updateResponse = client.prepareUpdate("index", "user", "1").setDoc(jsonBuilder()
                .startObject()
                .field("name", "王念")
                .endObject())
                .get();
        System.out.println("更新一条数据:" + updateResponse.isCreated());


        //获取_id为1的类型
        GetResponse response1 = client.prepareGet("index", "user", "1").get();
        response1.getSourceAsMap();//获取值转换成map
        System.out.println("查询一条数据:" + JSON.toJSON(response1.getSourceAsMap()));
    }

    @Test
    public void test2() {
        //查询多个id的值
        MultiGetResponse multiGetItemResponses = client.prepareMultiGet()
                .add("index", "user", "1")
                .add("index", "user", "2", "3", "4")
                .get();
        for (MultiGetItemResponse itemResponse : multiGetItemResponses) {
            GetResponse response = itemResponse.getResponse();
            if (response.isExists()) {
                String json = response.getSourceAsString();
                System.out.println(json);
            }
        }
        //搜索
        SearchResponse response = client.prepareSearch("index")//可以同时搜索多个索引prepareSearch("index","index2")
                .setTypes("user")//可以同时搜索多个类型
                .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
                .setQuery(QueryBuilders.termQuery("name", "张三"))                 // Query
                .setPostFilter(QueryBuilders.rangeQuery("age").from(12).to(18))     // Filter
                .setFrom(0).setSize(2).setExplain(true)
                .execute()
                .actionGet();
        forSearchResponse(response);
        System.out.println("总共查询到有:" + response.getHits().getTotalHits());


        //多查询结果
        SearchRequestBuilder srb1 = client
                .prepareSearch().setQuery(QueryBuilders.queryStringQuery("张三")).setSize(1);
        SearchRequestBuilder srb2 = client
                .prepareSearch().setQuery(QueryBuilders.matchQuery("name", "张三")).setSize(1);

        MultiSearchResponse sr = client.prepareMultiSearch()
                .add(srb1)
                .add(srb2)
                .execute().actionGet();

        long nbHits = 0;
        for (MultiSearchResponse.Item item : sr.getResponses()) {
            SearchResponse response1 = item.getResponse();
            forSearchResponse(response1);
            nbHits += response1.getHits().getTotalHits();
        }
        System.out.println("多查询总共查询到有:" + nbHits);
    }

    public void forSearchResponse(SearchResponse response) {
        for (SearchHit hit1 : response.getHits()) {
            Map<String, Object> source1 = hit1.getSource();
            if (!source1.isEmpty()) {
                for (Iterator<Map.Entry<String, Object>> it = source1.entrySet().iterator(); it.hasNext(); ) {
                    Map.Entry<String, Object> entry = it.next();
                    System.out.println(entry.getKey() + "=======" + entry.getValue());
                }
            }
        }
    }
}
本文参与 腾讯云自媒体分享计划,分享自作者个人站点/博客。
如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体分享计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
相关产品与服务
Elasticsearch Service
腾讯云 Elasticsearch Service(ES)是云端全托管海量数据检索分析服务,拥有高性能自研内核,集成X-Pack。ES 支持通过自治索引、存算分离、集群巡检等特性轻松管理集群,也支持免运维、自动弹性、按需使用的 Serverless 模式。使用 ES 您可以高效构建信息检索、日志分析、运维监控等服务,它独特的向量检索还可助您构建基于语义、图像的AI深度应用。
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档