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ElasticSearch编程操作

由 假如想象 提交于 2020-02-26 22:22:57

1.创建工程，导入依赖

    <dependency>
      <groupId>org.elasticsearch</groupId>
      <artifactId>elasticsearch</artifactId>
      <version>5.6.8</version>
    </dependency>

    <dependency>
      <groupId>org.elasticsearch.client</groupId>
      <artifactId>transport</artifactId>
      <version>5.6.8</version>
    </dependency>

    <dependency>
      <groupId>org.apache.logging.log4j</groupId>
      <artifactId>log4j-to-slf4j</artifactId>
      <version>2.9.1</version>
    </dependency>

    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>slf4j-api</artifactId>
      <version>1.7.24</version>
    </dependency>

    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>slf4j-simple</artifactId>
      <version>1.7.21</version>
    </dependency>

    <dependency>
      <groupId>log4j</groupId>
      <artifactId>log4j</artifactId>
      <version>1.2.12</version>
    </dependency>

    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>4.12</version>
    </dependency>

2.创建索引index

package com.wn.index;

import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.junit.Test;

import java.net.InetAddress;
import java.net.UnknownHostException;

public class IndexTest {
    /*创建索引*/
    @Test
    public void test01() throws UnknownHostException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));
        //创建名称为blog2的索引
        client.admin().indices().prepareCreate("blog2").get();
        //释放资源
        client.close();
    }
}

　　　　

3.创建映射mapping

  /*创建映射*/
    @Test
    public void test02() throws IOException, ExecutionException, InterruptedException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));
        //添加映射
        XContentBuilder builder= XContentFactory.jsonBuilder()
                .startObject()
                .startObject("table01")
                .startObject("properties")
                .startObject("id")
                .field("type","integer").field("store","yes")
                .endObject()
                .startObject("title")
                .field("type","string").field("store","yes").field("analyzer","ik_smart")
                .endObject()
                .startObject("content")
                .field("type","string").field("store","yes").field("analyzer","ik_smart")
                .endObject()
                .endObject()
                .endObject()
                .endObject();
        //创建映射
        PutMappingRequest mapping= Requests.putMappingRequest("blog2").type("table01").source(builder);
        client.admin().indices().putMapping(mapping).get();
        //释放资源
        client.close();
    }

　　　　

4.创建文档document

　　4.1 通过XContentFactory方式

/*创建文档document*/
    @Test
    public void test03() throws IOException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));
        //创建文档信息
        XContentBuilder builder=XContentFactory.jsonBuilder()
                .startObject()
                .field("id",1)
                .field("title","ES是一个基于Lucene的搜索服务器")
                .field("content","提供了一个分布式多用户能力的全文引擎")
                .endObject();
        client.prepareIndex("blog2","table01","1").setSource(builder).get();
        //释放资源
        client.close();
    }

　　　　

　　4.2 通过Jackson转换实体

　　　　4.2.1 创建实体

package com.wn.index;

public class Table01 {
    private Integer id;
    private String title;
    private String content;

    public Integer getId() {
        return id;
    }

    public void setId(Integer id) {
        this.id = id;
    }

    public String getTitle() {
        return title;
    }

    public void setTitle(String title) {
        this.title = title;
    }

    public String getContent() {
        return content;
    }

    public void setContent(String content) {
        this.content = content;
    }
}

　　　　4.2.2 导入依赖

　　<dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-core</artifactId>
      <version>2.8.1</version>
    </dependency>

    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-databind</artifactId>
      <version>2.8.1</version>
    </dependency>

    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-annotations</artifactId>
      <version>2.8.1</version>
    </dependency>

　　　　4.2.3 编写代码

    /*创建文档document*/
    /*使用Jackson转换实体*/
    @Test
    public void test04() throws UnknownHostException, JsonProcessingException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));
        //描述数据
        Table01 table01=new Table01();
        table01.setId(2);
        table01.setTitle("搜索工作其实很快乐");
        table01.setContent("希望我们的搜索解决方案要快");
        ObjectMapper objectMapper=new ObjectMapper();
        //建立文档
        client.prepareIndex("blog2","table01",table01.getId().toString())
                .setSource(objectMapper.writeValueAsString(table01).getBytes(),
                XContentType.JSON).get();
        //释放资源
        client.close();
    }

　　　　

5.查询文档操作

　　5.1 关键词查询

/*关键词查询*/
    @Test
    public void testTermQuery() throws UnknownHostException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));

        //设置搜索条件
        SearchResponse searchResponse=client.prepareSearch("blog2")
                .setTypes("table01")
                .setQuery(QueryBuilders.termQuery("content","搜索")).get();

        //遍历搜索结果数据
        SearchHits hits=searchResponse.getHits();    //获取命中次数，查询结果有多少对象
        System.out.println("查询结果有："+hits.getTotalHits()+"条");
        Iterator<SearchHit> iterator=hits.iterator();
        while (iterator.hasNext()){
            SearchHit searchHit=iterator.next();    //每个查询对象
            System.out.println(searchHit.getSourceAsString());  //获取字符串格式打印
            System.out.println("title:"+searchHit.getSource().get("title"));
        }
        //释放资源
        client.close();
    }

　　　　

　　5.2 字符串查询

 /*字符串查询*/
    @Test
    public void testStringQuery() throws UnknownHostException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));

        //设置搜索条件
        SearchResponse searchResponse=client.prepareSearch("blog2")
                .setTypes("table01")
                .setQuery(QueryBuilders.queryStringQuery("搜索")).get();

        //遍历搜索结果数据
        SearchHits hits=searchResponse.getHits();   //获取命中次数，查询结果有多少对象
        System.out.println("查询结果有："+hits.getTotalHits()+"条");
        Iterator<SearchHit> iterator=hits.iterator();
        while (iterator.hasNext()){
            SearchHit searchHit=iterator.next();    //每个查询对象
            System.out.println(searchHit.getSourceAsString());  //获取字符串格式打印
            System.out.println("title:"+searchHit.getSource().get("title"));
        }
        //释放资源
        client.close();
    }

　　　　

　　5.3 使用文档ID查询

 /*使用文档ID查询*/
    @Test
    public void testIdQuery() throws UnknownHostException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));

        //设置搜索条件
        SearchResponse response=client.prepareSearch("blog2")
                .setTypes("table01")
                //设置需要查询的id
                .setQuery(QueryBuilders.idsQuery().addIds("2")).get();
        //取出查询结果
        SearchHits searchHits=response.getHits();
        //取出查询结果总记录数
        System.out.println(searchHits.getTotalHits());
        Iterator<SearchHit> hitIterator=searchHits.iterator();
        while (hitIterator.hasNext()){
            SearchHit searchHit=hitIterator.next();
            System.out.println(searchHit.getSourceAsString());
        }
    }

　　　　

6.查询文档分页操作

　　6.1 批量插入数据

 /*批量插入数据*/
    @Test
    public void test01() throws JsonProcessingException, UnknownHostException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));

        ObjectMapper objectMapper=new ObjectMapper();
        for (int i=1;i<=10;i++){
            //描述JSON数据
            Table01 table01=new Table01();
            table01.setId(i);
            table01.setTitle(i+"搜索工作其实很快乐");
            table01.setContent(i+"我们希望我们的搜索解决方案要快！！！");

            //建立文档
            client.prepareIndex("blog2","table01",table01.getId().toString())
                    .setSource(objectMapper.writeValueAsString(table01).getBytes(), XContentType.JSON).get();
        }
        //释放资源
        client.close();
    }

　　　　

　　6.2 分页查询

    /*分页查询*/
    @Test
    public void test02() throws UnknownHostException {
        //创建client连接对象
        Settings settings=Settings.builder().put("cluster.name","my-elasticsearch").build();
        TransportClient client=new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"),9300));

        //搜索数据
        SearchRequestBuilder searchRequestBuilder=client.prepareSearch("blog2")
                .setTypes("table01").setQuery(QueryBuilders.matchAllQuery());   //默认每页10条数据

        //查询第2页数据，每页3条
        searchRequestBuilder.setFrom(0).setSize(3);
        SearchResponse searchResponse=searchRequestBuilder.get();

        SearchHits hits=searchResponse.getHits();   //获取命中次数，查询结果有多少对象
        System.out.println("查询结果有："+hits.getTotalHits()+"条");
        Iterator<SearchHit> iterator=hits.iterator();
        while (iterator.hasNext()){
            SearchHit searchHit=iterator.next();    //每个查询对象
            System.out.println(searchHit.getSourceAsString());  //获取字符串格式打印
            System.out.println("id:"+searchHit.getSource().get("id"));
            System.out.println("title:"+searchHit.getSource().get("title"));
            System.out.println("content:"+searchHit.getSource().get("content"));
            System.out.println("---------------------------");
        }
        //释放资源
        client.close();
    }

　　　　

7.查询结果高亮操作

　　7.1 什么是高亮显示

　　　　在进行关键字搜索时，搜索出的内容中的关键字会显示不同的颜色，称之为高亮

　　　　　　

　　7.2 高亮显示的html分析

　　　　通过开发者工具查看高亮数据的htmldiamante实现；

　　　　　　

 

 　　　　ES可以查看出的内容中关键字部分进行标签和样式的设置，但是你需要告诉ES使用什么标签对高亮关键字进行包裹；

　　7.3 高亮显示代码实现

package com.wn.index;

import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.junit.Test;

import java.net.InetAddress;
import java.net.UnknownHostException;

public class GaoTest {

    @Test
    public void test01() throws UnknownHostException {
        /*高亮查询*/
        //创建client连接对象
        Settings settings = Settings.builder().put("cluster.name", "my-elasticsearch").build();
        TransportClient client = new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"), 9300));

        //搜索数据
        SearchRequestBuilder searchRequestBuilder = client
                .prepareSearch("blog2").setTypes("table01")
                .setQuery(QueryBuilders.termQuery("title", "搜索"));

        //设置高亮数据
        HighlightBuilder hiBuilder = new HighlightBuilder();
        hiBuilder.preTags("<font style='color:red'>");
        hiBuilder.postTags("</font>"); hiBuilder.field("title");
        searchRequestBuilder.highlighter(hiBuilder);

        //获取查询结果数据
        SearchResponse searchResponse=searchRequestBuilder.get();

        //获取查询结果集
        SearchHits searchHits=searchResponse.getHits();
        System.out.println("共搜索到："+searchHits.getTotalHits()+"条结果");
        //遍历结果
        for (SearchHit hit:searchHits){
            System.out.println("String方式打印文档搜索内容");
            System.out.println(hit.getSourceAsString());
            System.out.println("Map方式打印高亮内容");
            System.out.println(hit.getHighlightFields());
            System.out.println("遍历高亮集合，打印高亮片段");
            org.elasticsearch.common.text.Text[] text = hit.getHighlightFields().get("title").getFragments();
            System.out.println("------------------------------------------------------------------");
            for (Text str:text){
                System.out.println(str);
            }
            //关闭资源
            client.close();
        }
    }

}

　　　　

 

标签
ElasticSearch
test
高亮
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