标签：ElasticSearch8.Kibana8；
一、简介
Elasticsearch是一个分布式、RESTful格调的搜寻和数据分析引擎，实用于各种数据类型，数字、文本、地理位置、结构化数据、非结构化数据；
在理论的工作中，历经过Elasticsearch从6.0到7.0的版本升级，而这次SpringBoot3和ES8.0的集成，尽管脚本的语法变动很小，然而Java客户端的API语法变化很大；
二、环境搭建
1、下载安装包
须要留神的是，这些安装包的版本要抉择对应的，不然容易出问题；
软件包：elasticsearch-8.8.2-darwin-x86_64.tar.gz分词器工具：elasticsearch-analysis-ik-8.8.2.zip可视化工具：kibana-8.8.2-darwin-x86_64.tar.gz2、服务启动
不论是ES还是Kibana，在首次启动后，会初始化很多配置文件，能够依据本人的须要做相干的配置调整，比方常见的端口调整，资源占用，平安校验等；
1、启动ESelasticsearch-8.8.2/bin/elasticsearch本地拜访：localhost:92002、启动Kibanakibana-8.8.2/bin/kibana本地拜访：http://localhost:5601# 3、查看装置的插件http://localhost:9200/_cat/plugins -> analysis-ik 8.8.2三、工程搭建
1、工程构造
2、依赖治理
在starter-elasticsearch组件中，实际上依赖的是elasticsearch-java组件的8.7.1版本；
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId> <version>${spring-boot.version}</version></dependency>3、配置文件
在下面环境搭建的过程中，曾经禁用了用户和明码的登录验证，配置ES服务地址即可；
spring: # ElasticSearch配置 elasticsearch: uris: localhost:9200四、根底用法
1、实体类
通过Document和Field注解形容ES索引构造的实体类，留神这里JsonIgnoreProperties注解，解决索引中字段和实体类非一一对应的而引起的JSON解析问题；
@JsonIgnoreProperties(ignoreUnknown = true)@Document(indexName = "contents_index", createIndex = false)public class ContentsIndex implements Serializable { private static final long serialVersionUID=1L; @Field(type= FieldType.Integer) private Integer id; @Field(type= FieldType.Keyword) private String title; @Field(type= FieldType.Keyword) private String intro; @Field(type= FieldType.Text) private String content; @Field(type= FieldType.Integer) private Integer createId; @Field(type= FieldType.Keyword) private String createName; @Field(type= FieldType.Date,format = DateFormat.date_hour_minute_second) private Date createTime;}2、初始化索引
基于ElasticsearchTemplate类和上述实体类，实现索引构造的初始化，并且将tb_contents表中的数据同步到索引中，最初通过ID查问一条测试数据；
@Servicepublic class ContentsIndexService { private static final Logger log = LoggerFactory.getLogger(ContentsIndexService.class); @Resource private ContentsService contentsService ; @Resource private ElasticsearchTemplate template ; /** * 初始化索引构造和数据 */ public void initIndex (){ // 解决索引构造 IndexOperations indexOps = template.indexOps(ContentsIndex.class); if (indexOps.exists()){ boolean delFlag = indexOps.delete(); log.info("contents_index exists，delete:{}",delFlag); indexOps.createMapping(ContentsIndex.class); } else { log.info("contents_index not exists"); indexOps.createMapping(ContentsIndex.class); } // 同步数据库表记录 List<Contents> contentsList = contentsService.queryAll(); if (contentsList.size() > 0){ List<ContentsIndex> contentsIndexList = new ArrayList<>() ; contentsList.forEach(contents -> { ContentsIndex contentsIndex = new ContentsIndex() ; BeanUtils.copyProperties(contents,contentsIndex); contentsIndexList.add(contentsIndex); }); template.save(contentsIndexList); } // ID查问 ContentsIndex contentsIndex = template.get("10",ContentsIndex.class); log.info("contents-index-10:{}",contentsIndex); }}3、仓储接口
继承ElasticsearchRepository接口，能够对ES这种特定类型的存储库进行通用增删改查操作；在测试类中对该接口的办法进行测试；
// 1、接口定义public interface ContentsIndexRepository extends ElasticsearchRepository<ContentsIndex,Long> {}// 2、接口测试public class ContentsIndexRepositoryTest { @Autowired private ContentsIndexRepository contentsIndexRepository; @Test public void testAdd (){ // 单个新增 contentsIndexRepository.save(buildOne()); // 批量新增 contentsIndexRepository.saveAll(buildList()) ; } @Test public void testUpdate (){ // 依据ID查问后再更新 Optional<ContentsIndex> contentsOpt = contentsIndexRepository.findById(14L); if (contentsOpt.isPresent()){ ContentsIndex contentsId = contentsOpt.get(); System.out.println("id=14:"+contentsId); contentsId.setContent("update-content"); contentsId.setCreateTime(new Date()); contentsIndexRepository.save(contentsId); } } @Test public void testQuery (){ // 单个ID查问 Optional<ContentsIndex> contentsOpt = contentsIndexRepository.findById(1L); if (contentsOpt.isPresent()){ ContentsIndex contentsId1 = contentsOpt.get(); System.out.println("id=1:"+contentsId1); } // 批量ID查问 Iterator<ContentsIndex> contentsIterator = contentsIndexRepository .findAllById(Arrays.asList(10L,12L)).iterator(); while (contentsIterator.hasNext()){ ContentsIndex contentsIndex = contentsIterator.next(); System.out.println("id="+contentsIndex.getId()+":"+contentsIndex); } } @Test public void testDelete (){ contentsIndexRepository.deleteById(15L); contentsIndexRepository.deleteById(16L); }}4、查问语法
无论是ElasticsearchTemplate类还是ElasticsearchRepository接口，都是对ES罕用的简略性能进行封装，在理论应用时，简单的查问语法还是依赖ElasticsearchClient和原生的API封装；
这里次要演示七个查询方法，次要波及：ID查问，字段匹配，组合与范畴查问，分页与排序，分组统计，最大值查问和含糊匹配；更多的查问API还是要多看文档中的案例才行；
public class ElasticsearchClientTest { @Autowired private ElasticsearchClient client ; @Test public void testSearch1 () throws IOException { // ID查问 GetResponse<ContentsIndex> resp = client.get( getReq ->getReq.index("contents_index").id("7"), ContentsIndex.class); if (resp.found()){ ContentsIndex contentsIndex = resp.source() ; System.out.println("contentsIndex-7："+contentsIndex); } } @Test public void testSearch2 () throws IOException { // 指定字段匹配 SearchResponse<ContentsIndex> resp = client.search(searchReq -> searchReq.index("contents_index") .query(query -> query.match(field -> field .field("createName").query("张三"))),ContentsIndex.class); printResp(resp); } @Test public void testSearch3 () throws IOException { // 组合查问：姓名和工夫范畴 Query byName = MatchQuery.of(field -> field.field("createName").query("王五"))._toQuery(); Query byTime = RangeQuery.of(field -> field.field("createTime") .gte(JsonData.of("2023-07-10T00:00:00")) .lte(JsonData.of("2023-07-12T00:00:00")))._toQuery(); SearchResponse<ContentsIndex> resp = client.search(searchReq -> searchReq.index("contents_index") .query(query -> query.bool(boolQuery -> boolQuery.must(byName).must(byTime))),ContentsIndex.class); printResp(resp); } @Test public void testSearch4 () throws IOException { // 排序和分页，在14条数据中，依据ID倒序排列，从第5条往后取4条数据 SearchResponse<ContentsIndex> resp = client.search(searchReq -> searchReq.index("contents_index") .from(5).size(4) .sort(sort -> sort.field(sortField -> sortField.field("id").order(SortOrder.Desc))),ContentsIndex.class); printResp(resp); } @Test public void testSearch5 () throws IOException { // 依据createId分组统计 SearchResponse<ContentsIndex> resp = client.search(searchReq -> searchReq.index("contents_index") .aggregations("createIdGroup",agg -> agg.terms(term -> term.field("createId"))),ContentsIndex.class); Aggregate aggregate = resp.aggregations().get("createIdGroup"); LongTermsAggregate termsAggregate = aggregate.lterms(); Buckets<LongTermsBucket> buckets = termsAggregate.buckets(); for (LongTermsBucket termsBucket : buckets.array()) { System.out.println(termsBucket.key() + " : " + termsBucket.docCount()); } } @Test public void testSearch6 () throws IOException { // 查问最大的ID SearchResponse<ContentsIndex> resp = client.search(searchReq -> searchReq.index("contents_index") .aggregations("maxId",agg -> agg.max(field -> field.field("id"))),ContentsIndex.class); for (Map.Entry<String, Aggregate> entry : resp.aggregations().entrySet()){ System.out.println(entry.getKey()+":"+entry.getValue().max().value()); } } @Test public void testSearch7 () throws IOException { // 含糊查问title字段，容许1个误差 Query byContent = FuzzyQuery.of(field -> field.field("title").value("设计").fuzziness("1"))._toQuery(); SearchResponse<ContentsIndex> resp = client.search( searchReq -> searchReq.index("contents_index").query(byContent),ContentsIndex.class); printResp(resp); } private void printResp (SearchResponse<ContentsIndex> resp){ TotalHits total = resp.hits().total(); System.out.println("total："+total); List<Hit<ContentsIndex>> hits = resp.hits().hits(); for (Hit<ContentsIndex> hit: hits) { ContentsIndex contentsIndex = hit.source(); System.out.println(hit.id()+"："+contentsIndex); } }}五、参考源码
文档仓库：https://gitee.com/cicadasmile/butte-java-note源码仓库：https://gitee.com/cicadasmile/butte-spring-parent