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原文网址:Spring Data Elasticsearch--ElasticsearchRestTemplate--使用/教程/实例_IT利刃出鞘的博客-CSDN博客
简介
说明
本文用实例来介绍如何使用Spring Data Elasticsearch的ElasticsearchRestTemplate来操作ES。包括:索引的增删等、文档的增删改查、文档的动态查询(或者说:多条件查询、复杂查询)。
动态查询的含义:查询条件有多个时,某个查询条件可能有也可能没有,这时就需要手动判断,如果为空则不拼装搜索条件。
本文用博客的业务进行示例。索引名:blog,里边有标题、内容、作者、创建时间等。
官网
Elasticsearch Operations
为什么用ElasticsearchRestTemplate
在Spring Data Elasticsearch4.0之后,ElasticsearchRepository里边大部分搜索方法都已经被标记为废弃,注释中让我们用两种方法来操作:
- 在方法上使用@Query自定义DSL。
- 使用 ElasticsearchOperations来操作。
使用@Query自定义DSL不支持动态查询,其用法见:Spring Data Elasticsearch--使用/教程/实例_IT利刃出鞘的博客-CSDN博客
ElasticsearchOperations支持动态查询,ElasticsearchRestTemplate是ElasticsearchOperations的实现类。
公共代码
依赖及配置
依赖
主要是spring-boot-starter-data-elasticsearch这个依赖:
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
配置
spring:elasticsearch:rest:# 如果是集群,用逗号隔开uris: http://127.0.0.1:9200# username: xxx# password: yyy# connection-timeout: 1# read-timeout: 30# 上边是客户端High Level REST Client的配置,推荐使用。# 下边是reactive客户端的配置,非官方,不推荐。
# data:
# elasticsearch:
# client:
# reactive:
# endpoints: 127.0.0.1:9200
# username: xxx
# password: yyy
# connection-timeout: 1
# socket-timeout: 30
# use-ssl: false
整个pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.3.12.RELEASE</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>com.example</groupId><artifactId>demo_spring-data-elasticsearch</artifactId><version>0.0.1-SNAPSHOT</version><name>demo_spring-data-elasticsearch</name><description>demo_spring-data-elasticsearch</description><properties><java.version>1.8</java.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>com.github.xiaoymin</groupId><artifactId>knife4j-spring-boot-starter</artifactId><version>3.0.3</version></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><configuration><excludes><exclude><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></exclude></excludes></configuration></plugin></plugins></build></project>
索引结构及数据
索引结构
http://localhost:9200/
PUT blog
{"mappings": {"properties": {"id":{"type":"long"},"title": {"type": "text"},"content": {"type": "text"},"author":{"type": "text","fields": {"keyword": {"type": "keyword"}}},"category":{"type": "keyword"},"createTime": {"type": "date","format":"yyyy-MM-dd HH:mm:ss.SSS||yyyy-MM-dd'T'HH:mm:ss.SSS||yyyy-MM-dd HH:mm:ss||epoch_millis"},"updateTime": {"type": "date","format":"yyyy-MM-dd HH:mm:ss.SSS||yyyy-MM-dd'T'HH:mm:ss.SSS||yyyy-MM-dd HH:mm:ss||epoch_millis"},"status":{"type":"integer"},"serialNum": {"type": "keyword"}}}
}
数据
- 每个文档必须独占一行,不能换行。
- 此命令要放到postman中去执行,如果用head执行会失败
http://localhost:9200/
POST _bulk
{"index":{"_index":"blog","_id":1}}
{"blogId":1,"title":"Spring Data ElasticSearch学习教程1","content":"这是批量添加的文档1","author":"Iron Man","category":"ElasticSearch","status":1,"serialNum":"1","createTime":"2021-10-10 11:52:01.249","updateTime":null}
{"index":{"_index":"blog","_id":2}}
{"blogId":2,"title":"Spring Data ElasticSearch学习教程2","content":"这是批量添加的文档2","author":"Iron Man","category":"ElasticSearch","status":1,"serialNum":"2","createTime":"2021-10-10 11:52:02.249","updateTime":null}
{"index":{"_index":"blog","_id":3}}
{"blogId":3,"title":"Spring Data ElasticSearch学习教程3","content":"这是批量添加的文档3","author":"Captain America","category":"ElasticSearch","status":1,"serialNum":"3","createTime":"2021-10-10 11:52:03.249","updateTime":null}
{"index":{"_index":"blog","_id":4}}
{"blogId":4,"title":"Spring Data ElasticSearch学习教程4","content":"这是批量添加的文档4","author":"Captain America","category":"ElasticSearch","status":1,"serialNum":"4","createTime":"2021-10-10 11:52:04.249","updateTime":null}
{"index":{"_index":"blog","_id":5}}
{"blogId":5,"title":"Spring Data ElasticSearch学习教程5","content":"这是批量添加的文档5","author":"Spider Man","category":"ElasticSearch","status":1,"serialNum":"5","createTime":"2021-10-10 11:52:05.249","updateTime":null}
{"index":{"_index":"blog","_id":6}}
{"blogId":6,"title":"Java学习教程6","content":"这是批量添加的文档6","author":"Spider Man","category":"ElasticSearch","status":1,"serialNum":"6","createTime":"2021-10-10 11:52:06.249","updateTime":null}
{"index":{"_index":"blog","_id":7}}
{"blogId":7,"title":"Java学习教程7","content":"这是批量添加的文档7","author":"Iron Man","category":"ElasticSearch","status":1,"serialNum":"7","createTime":"2021-10-10 11:52:07.249","updateTime":null}
{"index":{"_index":"blog","_id":8}}
{"blogId":8,"title":"Java学习教程8","content":"这是批量添加的文档8","author":"Iron Man","category":"ElasticSearch","status":1,"serialNum":"8","createTime":"2021-10-10 11:52:08.249","updateTime":null}
{"index":{"_index":"blog","_id":9}}
{"blogId":9,"title":"Java学习教程9","content":"这是批量添加的文档9","author":"Captain America","category":"ElasticSearch","status":1,"serialNum":"9","createTime":"2021-10-10 11:52:09.249","updateTime":null}
{"index":{"_index":"blog","_id":10}}
{"blogId":10,"title":"Java学习教程10","content":"这是批量添加的文档10","author":"God Of Thunder","category":"ElasticSearch","status":1,"serialNum":"10","createTime":"2021-10-10 11:52:10.249","updateTime":null}
执行后的结果
实体类
package com.example.demo.entity;import com.fasterxml.jackson.annotation.JsonFormat;
import lombok.Data;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.DateFormat;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;import java.util.Date;@Data
@Document(indexName = "blog", shards = 1, replicas = 1)
public class Blog {//此项作为id,不会写到_source里边。@Idprivate Long blogId;@Field(type = FieldType.Text)private String title;@Field(type = FieldType.Text)private String content;@Field(type = FieldType.Text)private String author;//博客所属分类。@Field(type = FieldType.Keyword)private String category;//0: 未发布(草稿) 1:已发布 2:已删除@Field(type = FieldType.Integer)private int status;//序列号,用于给外部展示的id@Field(type = FieldType.Keyword)private String serialNum;@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss.SSS")@Field(type= FieldType.Date, format= DateFormat.custom, pattern="yyyy-MM-dd HH:mm:ss.SSS")private Date createTime;@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss.SSS")@Field(type=FieldType.Date, format=DateFormat.custom, pattern="yyyy-MM-dd HH:mm:ss.SSS")private Date updateTime;
}
索引操作(IndexOperations)
本处只是展示索引的操作方法,项目中不会这样创建索引,而是手写DSL去创建。
package com.example.demo.controller;import com.example.demo.entity.Blog;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;/*** 本处只是展示索引的操作方法,项目中不会这样创建索引,而是手写DSL去创建。*/
@Api(tags = "索引操作(用不到)")
@RestController
@RequestMapping("index")
public class IndexController {@Autowiredprivate ElasticsearchRestTemplate elasticsearchRestTemplate;@ApiOperation("创建索引")@PostMapping("createIndex")public String createIndex() {// 创建索引,会根据Blog类的@Document注解信息来创建elasticsearchRestTemplate.createIndex(Blog.class);// 配置映射,会根据Item类中的id、Field等字段来自动完成映射elasticsearchRestTemplate.putMapping(Blog.class);return "success";}@ApiOperation("创建索引")@PostMapping("deleteIndex")public String deleteIndex() {// 删除索引,会根据Blog类的@Document注解信息来删除elasticsearchRestTemplate.deleteIndex(Blog.class);return "success";}
}
文档操作(DocumentOperations)
本处介绍常用的一些方法,这些方法能够满足开发中所有需求:
- 添加单个文档
- 添加多个文档
- 修改单个文档数据
- 修改单个文档部分数据
- 修改多个文档部分数据
- 查看单个文档
- 删除单个文档(根据id)
- 删除单个文档(根据条件)
- 删除所有文档。
package com.example.demo.controller;import com.example.demo.entity.Blog;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import org.elasticsearch.index.query.QueryBuilders;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.document.Document;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.data.elasticsearch.core.query.UpdateQuery;
import org.springframework.data.elasticsearch.core.query.UpdateResponse;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.util.ArrayList;
import java.util.Date;
import java.util.List;@Api(tags = "增删改查(RestTemplate方式)")
@RestController
@RequestMapping("crudViaRestTemplate")
public class CrudViaRestTemplateController {@Autowiredprivate ElasticsearchRestTemplate elasticsearchRestTemplate;@ApiOperation("添加单个文档")@PostMapping("addDocument")public Blog addDocument() {Long id = 1L;Blog blog = new Blog();blog.setBlogId(id);blog.setTitle("Spring Data ElasticSearch学习教程" + id);blog.setContent("这是添加单个文档的实例" + id);blog.setAuthor("Tony");blog.setCategory("ElasticSearch");blog.setCreateTime(new Date());blog.setStatus(1);blog.setSerialNum(id.toString());return elasticsearchRestTemplate.save(blog);}@ApiOperation("添加多个文档")@PostMapping("addDocuments")public Object addDocuments(Integer count) {List<Blog> blogs = new ArrayList<>();for (int i = 1; i <= count; i++) {Long id = (long)i;Blog blog = new Blog();blog.setBlogId(id);blog.setTitle("Spring Data ElasticSearch学习教程" + id);blog.setContent("这是添加单个文档的实例" + id);blog.setAuthor("Tony");blog.setCategory("ElasticSearch");blog.setCreateTime(new Date());blog.setStatus(1);blog.setSerialNum(id.toString());blogs.add(blog);}return elasticsearchRestTemplate.save(blogs);}/*** 跟新增是同一个方法。若id已存在,则修改。* 无法只修改某个字段,只能覆盖所有字段。若某个字段没有值,则会写入null。* @return 成功写入的数据*/@ApiOperation("修改单个文档数据")@PostMapping("editDocument")public Blog editDocument() {Long id = 1L;Blog blog = new Blog();blog.setBlogId(id);blog.setTitle("Spring Data ElasticSearch学习教程" + id);blog.setContent("这是修改单个文档的实例" + id);return elasticsearchRestTemplate.save(blog);}@ApiOperation("修改单个文档部分数据")@PostMapping("editDocumentPart")public UpdateResponse editDocumentPart() {long id = 1L;Document document = Document.create();document.put("title", "修改后的标题" + id);document.put("content", "修改后的内容" + id);UpdateQuery updateQuery = UpdateQuery.builder(Long.toString(id)).withDocument(document).build();UpdateResponse response = elasticsearchRestTemplate.update(updateQuery, IndexCoordinates.of("blog"));return response;}@ApiOperation("修改多个文档部分数据")@PostMapping("editDocumentsPart")public void editDocumentsPart(int count) {List<UpdateQuery> updateQueryList = new ArrayList<>();for (int i = 1; i <= count; i++) {long id = (long) i;Document document = Document.create();document.put("title", "修改后的标题" + id);document.put("content", "修改后的内容" + id);UpdateQuery updateQuery = UpdateQuery.builder(Long.toString(id)).withDocument(document).build();updateQueryList.add(updateQuery);}elasticsearchRestTemplate.bulkUpdate(updateQueryList, IndexCoordinates.of("blog"));}@ApiOperation("查看单个文档")@GetMapping("findById")public Blog findById(Long id) {return elasticsearchRestTemplate.get(id.toString(), Blog.class, IndexCoordinates.of("blog"));}@ApiOperation("删除单个文档(根据id)")@PostMapping("deleteDocumentById")public String deleteDocumentById(Long id) {return elasticsearchRestTemplate.delete(id.toString(), Blog.class);}@ApiOperation("删除单个文档(根据条件)")@PostMapping("deleteDocumentByQuery")public void deleteDocumentByQuery(String title) {NativeSearchQuery nativeSearchQuery = new NativeSearchQueryBuilder().withQuery(QueryBuilders.matchQuery("title", title)).build();elasticsearchRestTemplate.delete(nativeSearchQuery, Blog.class, IndexCoordinates.of("blog"));}@ApiOperation("删除所有文档")@PostMapping("deleteDocumentAll")public void deleteDocumentAll() {NativeSearchQuery nativeSearchQuery = new NativeSearchQueryBuilder().withQuery(QueryBuilders.matchAllQuery()).build();elasticsearchRestTemplate.delete(nativeSearchQuery, Blog.class, IndexCoordinates.of("blog"));}
}
本处就不贴出测试的截图了。功能都是测试通过的。
查询操作(SearchOperations)
简介
查询的方法
Query接口有一个抽象实现和三个实现:
本处我使用NativeSearchQuery。因为它更贴近ES,语法更偏向于ES原来的命令。CriteriaQuery的用法跟JPA的差不多。
构建Query
可通过new NativeSearchQueryBuilder()来构建NativeSearchQuery对象NativeSearchQuery中有众多的方法来为我们实现复杂的查询与筛选等操作。其中的build()返回NativeSearchQuery。
QueryBuilders构造复杂查询条件
NativeSearchQueryBuilder中接收QueryBuilder
public NativeSearchQueryBuilder withQuery(QueryBuilder queryBuilder) {this.queryBuilder = queryBuilder;return this;
}
可以用QueryBuilders构造QueryBuilder对象
基本查询
通过标题和内容来查找博客。
package com.example.demo.controller;import com.example.demo.dao.BlogRepository;
import com.example.demo.entity.Blog;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import org.apache.commons.lang3.StringUtils;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.MatchQueryBuilder;
import org.elasticsearch.index.query.Operator;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilder;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.metrics.ParsedAvg;
import org.elasticsearch.search.aggregations.metrics.ParsedMax;
import org.elasticsearch.search.sort.SortBuilder;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageImpl;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Range;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.query.FetchSourceFilterBuilder;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.util.*;
import java.util.stream.Collectors;@Api(tags = "动态查询")
@RestController
@RequestMapping("dynamicQuery")
public class DynamicQueryController {@Autowiredprivate ElasticsearchRestTemplate elasticsearchRestTemplate;@ApiOperation("简单查询")@GetMapping("simple")public List<Blog> simple(String title, String content) {NativeSearchQueryBuilder query = new NativeSearchQueryBuilder();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();if (StringUtils.isNotBlank(title)) {boolQueryBuilder.must(QueryBuilders.matchQuery("title", title));}if (StringUtils.isNotBlank(content)) {boolQueryBuilder.must(QueryBuilders.matchQuery("content", content));}query.withQuery(boolQueryBuilder);SearchHits<Blog> searchHits = elasticsearchRestTemplate.search(query.build(), Blog.class);List<Blog> blogs = new ArrayList<>();for (SearchHit<Blog> searchHit : searchHits) {blogs.add(searchHit.getContent());}return blogs;}
}
测试
分页排序
通过标题和作者来查找博客,分页,并根据创建时间倒序排序。
@ApiOperation("分页排序")
@GetMapping("pageAndSort")
public Page<Blog> pageAndSort(String title, String author) {PageRequest pageRequest = PageRequest.of(0, 2);NativeSearchQueryBuilder query = new NativeSearchQueryBuilder();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();if (StringUtils.isNotBlank(title)) {boolQueryBuilder.must(QueryBuilders.matchQuery("title", title));}if (StringUtils.isNotBlank(author)) {boolQueryBuilder.must(QueryBuilders.matchQuery("author", author));}query.withQuery(boolQueryBuilder);query.withPageable(pageRequest);query.withSort(SortBuilders.fieldSort("createTime").order(SortOrder.DESC));SearchHits<Blog> searchHits = elasticsearchRestTemplate.search(query.build(), Blog.class);List<Blog> blogs = new ArrayList<>();for (SearchHit<Blog> searchHit : searchHits) {blogs.add(searchHit.getContent());}return new PageImpl<Blog>(blogs, pageRequest, searchHits.getTotalHits());
}
测试
去重
通过标题和作者来查找博客,根据作者去重。
@ApiOperation("去重")
@GetMapping("collapse")
public List<Blog> collapse(String title, String author) {PageRequest pageRequest = PageRequest.of(0, 2);NativeSearchQueryBuilder query = new NativeSearchQueryBuilder();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();if (StringUtils.isNotBlank(title)) {boolQueryBuilder.must(QueryBuilders.matchQuery("title", title));}if (StringUtils.isNotBlank(author)) {boolQueryBuilder.must(QueryBuilders.matchQuery("author", author));}query.withQuery(boolQueryBuilder);query.withPageable(pageRequest);query.withSort(SortBuilders.fieldSort("createTime").order(SortOrder.DESC));// 去重的字段不能是text类型。所以,author的mapping要有keyword,且通过author.keyword去重。query.withCollapseField("author.keyword");//query.withCollapseField("category");SearchHits<Blog> searchHits = elasticsearchRestTemplate.search(query.build(), Blog.class);List<Blog> blogs = new ArrayList<>();for (SearchHit<Blog> searchHit : searchHits) {blogs.add(searchHit.getContent());}return blogs;
}
测试
聚合
查询标题中带有“java”的每个作者的文章数量。
@ApiOperation("聚合")
@GetMapping("aggregation")
public Map<String, Long> aggregation() {NativeSearchQueryBuilder query = new NativeSearchQueryBuilder();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();boolQueryBuilder.must(QueryBuilders.matchQuery("title", "java"));query.withQuery(boolQueryBuilder);// 作为聚合的字段不能是text类型。所以,author的mapping要有keyword,且通过author.keyword聚合。query.addAggregation(AggregationBuilders.terms("per_count").field("author.keyword"));// 不需要获取source结果集,在aggregation里可以获取结果query.withSourceFilter(new FetchSourceFilterBuilder().build());SearchHits<Blog> searchHits = elasticsearchRestTemplate.search(query.build(), Blog.class);Aggregations aggregations = searchHits.getAggregations();assert aggregations != null;//因为结果为字符串类型 所以用ParsedStringTerms。其他还有ParsedLongTerms、ParsedDoubleTerms等ParsedStringTerms per_count = aggregations.get("per_count");Map<String, Long> map = new HashMap<>();for (Terms.Bucket bucket : per_count.getBuckets()) {map.put(bucket.getKeyAsString(), bucket.getDocCount());}return map;
}
测试
嵌套聚合
查询标题中带有“java”的每个作者的文章数量,再查出各个作者的最新的发文时间。
@ApiOperation("嵌套聚合")
@GetMapping("subAggregation")
public Map<String, Map<String, Object>> subAggregation() {NativeSearchQueryBuilder query = new NativeSearchQueryBuilder();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();boolQueryBuilder.must(QueryBuilders.matchQuery("title", "java"));query.withQuery(boolQueryBuilder);query.addAggregation(AggregationBuilders.terms("per_count").field("author.keyword").subAggregation(AggregationBuilders.max("latest_create_time").field("createTime")));// 不需要获取source结果集,在aggregation里可以获取结果query.withSourceFilter(new FetchSourceFilterBuilder().build());SearchHits<Blog> searchHits = elasticsearchRestTemplate.search(query.build(), Blog.class);Aggregations aggregations = searchHits.getAggregations();assert aggregations != null;//因为结果为字符串类型 所以用ParsedStringTerms。其他还有ParsedLongTerms、ParsedDoubleTerms等ParsedStringTerms per_count = aggregations.get("per_count");Map<String, Map<String, Object>> map = new HashMap<>();for (Terms.Bucket bucket : per_count.getBuckets()) {Map<String, Object> objectMap = new HashMap<>();objectMap.put("docCount", bucket.getDocCount());ParsedMax parsedMax = bucket.getAggregations().get("latest_create_time");objectMap.put("latestCreateTime", parsedMax.getValueAsString());map.put(bucket.getKeyAsString(), objectMap);}return map;
}
测试
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