ElasticSearch教程入门到精通——第二部分（基于ELK技术栈elasticsearch 7.x新特性）

news/2024/10/18 14:24:52/

ElasticSearch教程入门到精通——第二部分（基于ELK技术栈elasticsearch 7.x新特性）

  • 1. JavaAPI-环境准备
    • 1.1 新建Maven工程——添加依赖
    • 1.2 HelloElasticsearch
  • 2. 索引
    • 2.1 索引——创建
    • 2.2 索引——查询
    • 2.3 索引——删除
  • 3. 文档
    • 3.1 文档——重构
    • 3.2 文档——新增
    • 3.3 文档——修改
    • 3.4 文档——简单操作
      • 3.4.1 文档——简单查询
      • 3.4.2 文档——简单删除
    • 3.5 文档——批量操作
      • 3.5.1 文档——批量新增
      • 3.5.2 文档——批量删除
    • 3.6 文档——高级查询
      • 3.6.1 文档——高级查询——全量查询
      • 3.6.2 文档——高级查询——条件查询
      • 3.6.3 文档——高级查询——分页查询
      • 3.6.4 文档——高级查询——查询排序
      • 3.6.5 文档——高级查询——组合查询
      • 3.6.6 文档——高级查询——范围查询
      • 3.6.7 文档——高级查询——模糊查询
      • 3.6.9 文档——高级查询——高亮查询
      • 3.6.10 文档——高级查询——最大值查询
      • 3.6.11 文档——高级查询——分组查询

在这里插入图片描述

在这里插入图片描述

1. JavaAPI-环境准备

1.1 新建Maven工程——添加依赖

<dependencies><dependency><groupId>org.elasticsearch</groupId><artifactId>elasticsearch</artifactId><version>7.8.0</version></dependency><!-- elasticsearch 的客户端 --><dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId><version>7.8.0</version></dependency><!-- elasticsearch 依赖 2.x 的 log4j --><dependency><groupId>org.apache.logging.log4j</groupId><artifactId>log4j-api</artifactId><version>2.8.2</version></dependency><dependency><groupId>org.apache.logging.log4j</groupId><artifactId>log4j-core</artifactId><version>2.8.2</version></dependency><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>2.9.9</version></dependency><!-- junit 单元测试 --><dependency><groupId>junit</groupId><artifactId>junit</artifactId><version>4.12</version></dependency>
</dependencies>

1.2 HelloElasticsearch

import java.io.IOException;import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;public class HelloElasticsearch {public static void main(String[] args) throws IOException {// 创建客户端对象RestHighLevelClient client = new RestHighLevelClient(RestClient.builder(new HttpHost("localhost", 9200, "http")));
//		...System.out.println(client);// 关闭客户端连接client.close();}
}

在这里插入图片描述

2. 索引

2.1 索引——创建

在这里插入图片描述

import org.apache.http.HttpHost;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;import java.io.IOException;public class ESTest_Index_Create {public static void main(String[] args) throws IOException {RestHighLevelClient restHighLevelClient = new RestHighLevelClient(RestClient.builder(new HttpHost("localhost",9200,"http")));// 创建索引CreateIndexRequest createIndexRequest = new CreateIndexRequest("user");CreateIndexResponse createIndexResponse = restHighLevelClient.indices().create(createIndexRequest, RequestOptions.DEFAULT);boolean acknowledged = createIndexResponse.isAcknowledged();System.out.println("acknowledged = " + acknowledged);restHighLevelClient.close();}
}

后台打印：

在这里插入图片描述
在这里插入图片描述

在这里插入图片描述

2.2 索引——查询

package com.atguigu.es.test;import org.apache.http.HttpHost;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.elasticsearch.client.indices.GetIndexResponse;
import org.elasticsearch.cluster.metadata.AliasMetadata;
import org.elasticsearch.cluster.metadata.MappingMetadata;
import org.elasticsearch.common.settings.Settings;import java.io.IOException;
import java.util.List;
import java.util.Map;public class ESTest_Index_Search {public static void main(String[] args) throws IOException {RestHighLevelClient restHighLevelClient = new RestHighLevelClient(RestClient.builder(new HttpHost("localhost",9200,"http")));// 查询索引GetIndexRequest getIndexRequest = new GetIndexRequest("user");GetIndexResponse getIndexResponse = restHighLevelClient.indices().get(getIndexRequest, RequestOptions.DEFAULT);Map<String, List<AliasMetadata>> aliases = getIndexResponse.getAliases();System.out.println("aliases = " + aliases);Map<String, MappingMetadata> mappings = getIndexResponse.getMappings();System.out.println("mappings = " + mappings);Map<String, Settings> settings = getIndexResponse.getSettings();System.out.println("settings = " + settings);restHighLevelClient.close();}
}

后台打印：

在这里插入图片描述
在这里插入图片描述

在这里插入图片描述

2.3 索引——删除

package com.atguigu.es.test;import org.apache.http.HttpHost;
import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;
import org.elasticsearch.action.support.master.AcknowledgedResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.elasticsearch.client.indices.GetIndexResponse;
import org.elasticsearch.cluster.metadata.AliasMetadata;
import org.elasticsearch.cluster.metadata.MappingMetadata;
import org.elasticsearch.common.settings.Settings;import java.io.IOException;
import java.util.List;
import java.util.Map;public class ESTest_Index_Delete {public static void main(String[] args) throws IOException {RestHighLevelClient restHighLevelClient = new RestHighLevelClient(RestClient.builder(new HttpHost("localhost",9200,"http")));// 删除索引DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest("user");AcknowledgedResponse delete = restHighLevelClient.indices().delete(deleteIndexRequest, RequestOptions.DEFAULT);boolean acknowledged = delete.isAcknowledged();System.out.println("acknowledged = " + acknowledged);restHighLevelClient.close();}
}

后台打印：

在这里插入图片描述
在这里插入图片描述

在这里插入图片描述

3. 文档

3.1 文档——重构

上文由于频繁使用以下连接Elasticsearch和关闭它的代码，于是个人对它进行重构。

public class SomeClass {public static void main(String[] args) throws IOException {RestHighLevelClient client = new RestHighLevelClient(RestClient.builder(new HttpHost("localhost", 9200, "http")));...client.close();}
}

重构后的代码：

import org.elasticsearch.client.RestHighLevelClient;public interface ElasticsearchTask {void doSomething(RestHighLevelClient client) throws Exception;}

public class ConnectElasticsearch{public static void connect(ElasticsearchTask task){// 创建客户端对象RestHighLevelClient client = new RestHighLevelClient(RestClient.builder(new HttpHost("localhost", 9200, "http")));try {task.doSomething(client);// 关闭客户端连接client.close();} catch (Exception e) {e.printStackTrace();}}
}

接下来，如果想让Elasticsearch完成一些操作，就编写一个lambda式即可。

public class SomeClass {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {//do something});}
}

在这里插入图片描述

3.2 文档——新增

import com.fasterxml.jackson.databind.ObjectMapper;
import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.model.User;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.xcontent.XContentType;public class InsertDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {// 新增文档 - 请求对象IndexRequest request = new IndexRequest();// 设置索引及唯一性标识request.index("user").id("1001");// 创建数据对象User user = new User();user.setName("zhangsan");user.setAge(30);user.setSex("男");ObjectMapper objectMapper = new ObjectMapper();String productJson = objectMapper.writeValueAsString(user);// 添加文档数据，数据格式为 JSON 格式request.source(productJson, XContentType.JSON);// 客户端发送请求，获取响应对象IndexResponse response = client.index(request, RequestOptions.DEFAULT);3.打印结果信息System.out.println("_index:" + response.getIndex());System.out.println("_id:" + response.getId());System.out.println("_result:" + response.getResult());});}
}

后台打印：

在这里插入图片描述

在这里插入图片描述

3.3 文档——修改

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.xcontent.XContentType;public class UpdateDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {// 修改文档 - 请求对象UpdateRequest request = new UpdateRequest();// 配置修改参数request.index("user").id("1001");// 设置请求体，对数据进行修改request.doc(XContentType.JSON, "sex", "女");// 客户端发送请求，获取响应对象UpdateResponse response = client.update(request, RequestOptions.DEFAULT);System.out.println("_index:" + response.getIndex());System.out.println("_id:" + response.getId());System.out.println("_result:" + response.getResult());});}}

后台打印：

_index:user
_id:1001
_result:UPDATEDProcess finished with exit code 0

在这里插入图片描述

3.4 文档——简单操作

3.4.1 文档——简单查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.RequestOptions;public class GetDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {//1.创建请求对象GetRequest request = new GetRequest().index("user").id("1001");//2.客户端发送请求，获取响应对象GetResponse response = client.get(request, RequestOptions.DEFAULT);3.打印结果信息System.out.println("_index:" + response.getIndex());System.out.println("_type:" + response.getType());System.out.println("_id:" + response.getId());System.out.println("source:" + response.getSourceAsString());});}
}

后台打印：

_index:user
_type:_doc
_id:1001
source:{"name":"zhangsan","age":30,"sex":"男"}Process finished with exit code 0

3.4.2 文档——简单删除

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.client.RequestOptions;public class DeleteDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {//创建请求对象DeleteRequest request = new DeleteRequest().index("user").id("1001");//客户端发送请求，获取响应对象DeleteResponse response = client.delete(request, RequestOptions.DEFAULT);//打印信息System.out.println(response.toString());});}
}

后台打印：

DeleteResponse[index=user,type=_doc,id=1001,version=16,result=deleted,shards=ShardInfo{total=2, successful=1, failures=[]}]Process finished with exit code 0

在这里插入图片描述

3.5 文档——批量操作

3.5.1 文档——批量新增

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.xcontent.XContentType;public class BatchInsertDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {//创建批量新增请求对象BulkRequest request = new BulkRequest();request.add(newIndexRequest().index("user").id("1001").source(XContentType.JSON, "name","zhangsan"));request.add(newIndexRequest().index("user").id("1002").source(XContentType.JSON, "name","lisi"));request.add(newIndexRequest().index("user").id("1003").source(XContentType.JSON, "name","wangwu"));//客户端发送请求，获取响应对象BulkResponse responses = client.bulk(request, RequestOptions.DEFAULT);//打印结果信息System.out.println("took:" + responses.getTook());System.out.println("items:" + responses.getItems());});}
}

后台打印

took:294ms
items:[Lorg.elasticsearch.action.bulk.BulkItemResponse;@2beee7ffProcess finished with exit code 0

在这里插入图片描述

3.5.2 文档——批量删除

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.client.RequestOptions;public class BatchDeleteDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {//创建批量删除请求对象BulkRequest request = new BulkRequest();request.add(new DeleteRequest().index("user").id("1001"));request.add(new DeleteRequest().index("user").id("1002"));request.add(new DeleteRequest().index("user").id("1003"));//客户端发送请求，获取响应对象BulkResponse responses = client.bulk(request, RequestOptions.DEFAULT);//打印结果信息System.out.println("took:" + responses.getTook());System.out.println("items:" + responses.getItems());});}
}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6 文档——高级查询

3.6.1 文档——高级查询——全量查询

先批量增加数据

public class BatchInsertDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {//创建批量新增请求对象BulkRequest request = new BulkRequest();request.add(new IndexRequest().index("user").id("1001").source(XContentType.JSON, "name", "zhangsan", "age", "10", "sex","女"));request.add(new IndexRequest().index("user").id("1002").source(XContentType.JSON, "name", "lisi", "age", "30", "sex","女"));request.add(new IndexRequest().index("user").id("1003").source(XContentType.JSON, "name", "wangwu1", "age", "40", "sex","男"));request.add(new IndexRequest().index("user").id("1004").source(XContentType.JSON, "name", "wangwu2", "age", "20", "sex","女"));request.add(new IndexRequest().index("user").id("1005").source(XContentType.JSON, "name", "wangwu3", "age", "50", "sex","男"));request.add(new IndexRequest().index("user").id("1006").source(XContentType.JSON, "name", "wangwu4", "age", "20", "sex","男"));//客户端发送请求，获取响应对象BulkResponse responses = client.bulk(request, RequestOptions.DEFAULT);//打印结果信息System.out.println("took:" + responses.getTook());System.out.println("items:" + responses.getItems());});}
}

后台打印

在这里插入图片描述

查询所有索引数据

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;public class QueryDoc {public static void main(String[] args) {ConnectElasticsearch.connect(client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();// 查询所有数据sourceBuilder.query(QueryBuilders.matchAllQuery());request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");});}}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.2 文档——高级查询——条件查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;public class QueryDoc {public static final ElasticsearchTask SEARCH_BY_CONDITION = client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();sourceBuilder.query(QueryBuilders.termQuery("age", "30"));request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_BY_CONDITION);}
}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.3 文档——高级查询——分页查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;public class QueryDoc {public static final ElasticsearchTask SEARCH_BY_PAGING = client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();sourceBuilder.query(QueryBuilders.matchAllQuery());// 分页查询// 当前页其实索引(第一条数据的顺序号)， fromsourceBuilder.from(0);// 每页显示多少条 sizesourceBuilder.size(2);request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_BY_CONDITION);}}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.4 文档——高级查询——查询排序

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;public class QueryDoc {public static final ElasticsearchTask SEARCH_WITH_ORDER = client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();sourceBuilder.query(QueryBuilders.matchAllQuery());// 排序sourceBuilder.sort("age", SortOrder.ASC);request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_WITH_ORDER);}}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.5 文档——高级查询——组合查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;public class QueryDoc {public static final ElasticsearchTask SEARCH_BY_BOOL_CONDITION = client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();// 必须包含boolQueryBuilder.must(QueryBuilders.matchQuery("age", "30"));// 一定不含boolQueryBuilder.mustNot(QueryBuilders.matchQuery("name", "zhangsan"));// 可能包含boolQueryBuilder.should(QueryBuilders.matchQuery("sex", "男"));sourceBuilder.query(boolQueryBuilder);request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_BY_BOOL_CONDITION);}
}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.6 文档——高级查询——范围查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;public class QueryDoc {public static final ElasticsearchTask SEARCH_BY_RANGE = client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("age");// 大于等于//rangeQuery.gte("30");// 小于等于rangeQuery.lte("20");sourceBuilder.query(rangeQuery);request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_BY_RANGE);}}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.7 文档——高级查询——模糊查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.unit.Fuzziness;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;public class QueryDoc {public static final ElasticsearchTask SEARCH_BY_FUZZY_CONDITION = client -> {// 创建搜索请求对象SearchRequest request = new SearchRequest();request.indices("user");// 构建查询的请求体SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();sourceBuilder.query(QueryBuilders.fuzzyQuery("name","wangwu").fuzziness(Fuzziness.ONE));request.source(sourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);// 查询匹配SearchHits hits = response.getHits();System.out.println("took:" + response.getTook());System.out.println("timeout:" + response.isTimedOut());System.out.println("total:" + hits.getTotalHits());System.out.println("MaxScore:" + hits.getMaxScore());System.out.println("hits========>>");for (SearchHit hit : hits) {//输出每条查询的结果信息System.out.println(hit.getSourceAsString());}System.out.println("<<========");};public static void main(String[] args) {
//        ConnectElasticsearch.connect(SEARCH_ALL);
//        ConnectElasticsearch.connect(SEARCH_BY_CONDITION);
//        ConnectElasticsearch.connect(SEARCH_BY_PAGING);
//        ConnectElasticsearch.connect(SEARCH_WITH_ORDER);
//        ConnectElasticsearch.connect(SEARCH_BY_BOOL_CONDITION);
//        ConnectElasticsearch.connect(SEARCH_BY_RANGE);ConnectElasticsearch.connect(SEARCH_BY_FUZZY_CONDITION);}}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.9 文档——高级查询——高亮查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.unit.Fuzziness;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;import java.util.Map;public class QueryDoc {public static final ElasticsearchTask SEARCH_WITH_HIGHLIGHT = client -> {// 高亮查询SearchRequest request = new SearchRequest().indices("user");//2.创建查询请求体构建器SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();//构建查询方式：高亮查询TermsQueryBuilder termsQueryBuilder =QueryBuilders.termsQuery("name","zhangsan");//设置查询方式sourceBuilder.query(termsQueryBuilder);//构建高亮字段HighlightBuilder highlightBuilder = new HighlightBuilder();highlightBuilder.preTags("<font color='red'>");//设置标签前缀highlightBuilder.postTags("</font>");//设置标签后缀highlightBuilder.field("name");//设置高亮字段//设置高亮构建对象sourceBuilder.highlighter(highlightBuilder);//设置请求体request.source(sourceBuilder);//3.客户端发送请求，获取响应对象SearchResponse response = client.search(request, RequestOptions.DEFAULT);//4.打印响应结果SearchHits hits = response.getHits();System.out.println("took::"+response.getTook());System.out.println("time_out::"+response.isTimedOut());System.out.println("total::"+hits.getTotalHits());System.out.println("max_score::"+hits.getMaxScore());System.out.println("hits::::>>");for (SearchHit hit : hits) {String sourceAsString = hit.getSourceAsString();System.out.println(sourceAsString);//打印高亮结果Map<String, HighlightField> highlightFields = hit.getHighlightFields();System.out.println(highlightFields);}System.out.println("<<::::");};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_WITH_HIGHLIGHT);}}

后台打印

在这里插入图片描述

在这里插入图片描述

3.6.10 文档——高级查询——最大值查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.unit.Fuzziness;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;import java.util.Map;public class QueryDoc {public static final ElasticsearchTask SEARCH_WITH_MAX = client -> {// 高亮查询SearchRequest request = new SearchRequest().indices("user");SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();sourceBuilder.aggregation(AggregationBuilders.max("maxAge").field("age"));//设置请求体request.source(sourceBuilder);//3.客户端发送请求，获取响应对象SearchResponse response = client.search(request, RequestOptions.DEFAULT);//4.打印响应结果SearchHits hits = response.getHits();System.out.println(response);};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_WITH_MAX);}}

后台打印

在这里插入图片描述

在这里插入图片描述

在这里插入图片描述

3.6.11 文档——高级查询——分组查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.unit.Fuzziness;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;import java.util.Map;public class QueryDoc {public static final ElasticsearchTask SEARCH_WITH_GROUP = client -> {SearchRequest request = new SearchRequest().indices("user");SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();sourceBuilder.aggregation(AggregationBuilders.terms("age_groupby").field("age"));//设置请求体request.source(sourceBuilder);//3.客户端发送请求，获取响应对象SearchResponse response = client.search(request, RequestOptions.DEFAULT);//4.打印响应结果SearchHits hits = response.getHits();System.out.println(response);};public static void main(String[] args) {ConnectElasticsearch.connect(SEARCH_WITH_GROUP);}}

后台打印

在这里插入图片描述

在这里插入图片描述

在这里插入图片描述


http://www.ppmy.cn/news/1446911.html

相关文章

STL——stackqueue

STL——stackqueue

stack stack即为栈&#xff0c;先进后出是其特点 栈只有栈顶元素能被外界使用&#xff0c;故不存在遍历行为 栈中常用接口 构造函数 stack<T> stk; //默认构造方式 stack(const stack &stk); //拷贝构造 赋值操作 stack& operator(const stack &stk); …
阅读更多...
Java Spring 中构造函数注入和Setter注入的优缺点

Java Spring 中构造函数注入和Setter注入的优缺点

在使用Java Spring框架进行依赖注入时&#xff0c;我们常常会遇到构造函数注入和Setter注入两种方式。这两种方式各有优缺点&#xff0c;本文将对它们进行比较和分析&#xff0c;帮助开发者在实际项目中做出合适的选择。 构造函数注入 构造函数注入是通过在类的构造函数中传入…
阅读更多...
Scala 多版本下载指南

Scala 多版本下载指南

Scala&#xff0c;这一功能丰富的编程语言&#xff0c;结合了面向对象和函数式编程的精华&#xff0c;为开发者提供了强大的工具来构建高效、可扩展的应用程序。随着Scala社区的不断壮大和技术的演进&#xff0c;多个版本的Scala被广泛应用于不同的项目与场景中。本文旨在为您提…
阅读更多...
【后端】redis的缓存使用

【后端】redis的缓存使用

提示&#xff1a;文章写完后&#xff0c;目录可以自动生成&#xff0c;如何生成可参考右边的帮助文档 文章目录 前言一、Redis是什么二、Redis的缓存使用三、总结 前言 随着开发语言及人工智能工具的普及&#xff0c;使得越来越多的人学习Redis&#xff0c;MySQL等数据库&…
阅读更多...
1天搞定uniApp+Vue3+vite+Element UI或者Element Plus开发学习，使用vite构建管理项目,HBuilderX做为开发者工具

1天搞定uniApp+Vue3+vite+Element UI或者Element Plus开发学习，使用vite构建管理项目,HBuilderX做为开发者工具

我们通常给小程序或者app开发后台时&#xff0c;不可避免的要用到可视化的数据管理后台&#xff0c;而vue和Element是我们目前比较主流的开发管理后台的主流搭配。所以今天石头哥就带大家来一起学习下vue3和Element plus的开发。 准备工作 1&#xff0c;下载HBuilderX 开发者…
阅读更多...
VSCode便捷版的制作

VSCode便捷版的制作

VSCode下载地址&#xff1a;https://code.visualstudio.com/#alt-downloads Installer是安装版&#xff0c;.zip是免安装版。 对于安装版&#xff0c;安装成功后在快捷方式的目标中添加参数 示例&#xff1a;D:\VSCode\Code.exe --user-data-dir“D:\VSCode\userData” --exte…
阅读更多...
C++：继承性_程序

C++：继承性_程序

编译器&#xff1a;vs2022 main.cpp #include <iostream> #include <iomanip> #include "person.h"const int Sum 2;class Group { protected:PostGra st[Sum];int sum; public:Group();void Input();void SortByID();void Output(); };Group::Group(…
阅读更多...
深度学习之视觉特征提取器——LeNet

深度学习之视觉特征提取器——LeNet

LeNet 引入 LeNet是是由深度学习巨头Yann LeCun在1998年提出&#xff0c;可以算作多层卷积网络在图像识别领域的首次成功应用。我们现在通常说的LeNet是指LeNet-5&#xff0c;最早的LeNet-1在1988年即开始研究&#xff0c;前后持续十年之久。但是&#xff0c;受限于当时计算机…
阅读更多...
最新文章

Copyright @ 2022~2023