yml配置
#es配置
spring:elasticsearch:rest:uris: 192.168.16.188:9200
添加依赖
org.elasticsearch.clientelasticsearch-rest-high-level-client
使用编程的形式设置连接的ES服务器,并获取客户端对象,配置ES服务器地址与端口9200,记得客户端使用完毕需要手工关闭。由于当前客户端是手工维护的,因此不能通过自动装配的形式加载对象
@RunWith(SpringRunner.class)
@SpringBootTest(classes = SpringBootTest.class)
public class JeecgTest {@Test
// @SneakyThrowspublic void name() {HttpHost host = HttpHost.create("http://localhost:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);try {client.close();} catch (IOException e) {throw new RuntimeException(e);}}
}
使用客户端对象操作ES,例如创建索引
@RunWith(SpringRunner.class)
@SpringBootTest(classes = SpringBootTest.class)
public class JeecgTest {private RestHighLevelClient client;@Testvoid testCreateIndex() throws IOException {HttpHost host = HttpHost.create("http://localhost:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);CreateIndexRequest request = new CreateIndexRequest("books");client.indices().create(request, RequestOptions.DEFAULT); client.close();}
}
添加文档,添加文档使用的请求对象是IndexRequest,与创建索引使用的请求对象不同
@RunWith(SpringRunner.class)
@SpringBootTest(classes = SpringBootTest.class)
public class JeecgTest {@Testpublic void testCreateIndex() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);HashMap map = new HashMap<>();map.put("name", "张三");map.put("age", 20);IndexRequest request = new IndexRequest("user");String json = JSON.toJSONString(map);request.source(json, XContentType.JSON);IndexResponse index = client.index(request, RequestOptions.DEFAULT);client.close();}
}
/增量更新文档
@Testpublic void testUpdateDoc() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);UpdateRequest updateRequest = new UpdateRequest("user", "88");updateRequest.timeout("1s");User user = new User();user.setAge(222);updateRequest.doc(JSON.toJSONString(user), XContentType.JSON);UpdateResponse update = client.update(updateRequest, RequestOptions.DEFAULT);client.close();}
批量添加文档:批量做时,先创建一个BulkRequest的对象,可以将该对象理解为是一个保存request对象的容器,将所有的请求都初始化好后,添加到BulkRequest对象中,再使用BulkRequest对象的bulk方法,一次性执行完毕
@Test//批量添加文档public void testCreateDocAll() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);List
按id查询1文档:根据id查询文档使用的请求对象是GetRequest
@Test//按id查询public void getById() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);GetRequest request = new GetRequest("user", "88");GetResponse response = client.get(request, RequestOptions.DEFAULT);String json = response.getSourceAsString();System.out.println(json);client.close();}
通过id查询2
@Test//按id查询public void getById2() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.termQuery("_id",88));request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
按条件查询文档:按条件查询文档使用的请求对象是SearchRequest,查询时调用SearchRequest对象的termQuery方法,需要给出查询属性名,此处支持使用合并字段,也就是前面定义索引属性时添加的all属性
@Test//按条件查询public void getBySearch() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.matchPhraseQuery("name","张三"));request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
按条件高亮查询
@Test//按条件高亮查询public void getBySearch2() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.matchPhraseQuery("name","张三"));HighlightBuilder highlightBuilder = new HighlightBuilder();searchSourceBuilder.highlighter(highlightBuilder.field("name"));request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {Map highlightFields = hit.getHighlightFields();System.out.println(highlightFields);}client.close();}
分页查询
@Test//分页查询public void getBySearch3() throws IOException {// 开始查询的记录数//页码Integer pageNum=1;//页数Integer pageSize=2;int start = (pageNum - 1) * pageSize;HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.matchAllQuery());searchSourceBuilder.from(start);searchSourceBuilder.size(pageSize);request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String sourceAsString = hit.getSourceAsString();System.out.println(sourceAsString);}client.close();}
MultiQuery 全部字段联合搜索
@Test// MultiQuery 全部字段联合搜索 public void getBySearch4() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.multiMatchQuery("三"));request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
MultiQuery 多字段联合搜索 ,使用多字段查询的时候,查询的字段要和查询的内容类型一直,不然就会报错,类似age字段是int类型,和name字段是string类型查询就会报错
@Test// MultiQuery 多字段联合搜索public void getBySearch5() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.multiMatchQuery("王","name","file"));request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
多域联合查询的时候,可以通过 boost 来设置某个域在计算得分时候的比重,比重越高的域当他符合条件时计算的得分越高,相应的该记录也更靠前。通过在 fields 中给相应的字段用 ^权重倍数来实现
@Test// MultiQuery 多字段联合搜索和设置权重public void getBySearch6() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.multiMatchQuery("广","name","address").field("name",10));request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
如果我们既要对一些字段进行分词查询,同时要对另一些字段进行精确查询,就需要使用布尔查询来实现了。布尔查询对应于Lucene的BooleanQuery查询,实现将多个查询组合起来,有三个可选的参数:must:文档必须匹配must所包括的查询条件,相当于 “AND”should:文档应该匹配should所包括的查询条件其中的一个或多个,相当于 "OR"must_not:文档不能匹配must_not所包括的该查询条件,相当于“NOT”
```erlang
GET user/_search
{"query": {"bool": { // 布尔查询"must": [ // 查询条件 must 表示数组中的查询方式所规定的条件都必须满足{"multi_match": {"query": "王小妹","minimum_should_match": "50%","fields": ["name^10","title"]}},{"match": {"address": "广州"}}]}}
}
@Test// 布尔查询 BoolQuerypublic void getBySearch7() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();// 搜索方式// 首先构造多关键字查询条件MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("王小妹", "name", "title").field("name", 10);// 然后构造匹配查询条件MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("address", "广州");// 组合两个条件,组合方式为 must 全满足BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();boolQueryBuilder.must(multiMatchQueryBuilder);boolQueryBuilder.must(matchQueryBuilder);// 将查询条件封装给查询对象searchSourceBuilder.query(boolQueryBuilder);request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
定义过滤器查询,是在原本查询结果的基础上对数据进行筛选,因此省略了重新计算的分的步骤,效率更高。并且方便缓存。推荐尽量使用过虑器去实现查询或者过虑器和查询共同使用,过滤器在布尔查询中使用,下边是在搜索结果的基础上进行过滤:
GET user/_search
{"query": {"bool": {"must": [{"multi_match": {"query": "王小妹","minimum_should_match": "50%","fields": ["name^10","title"]}}],"filter": [{// 过滤条件:studymodel 必须是 201001"match": {"address": "广州"}},{// 过滤条件:年龄 >=10 <=100"range": {"age": {"gte": 10,"lte": 100}}}]}}
}
@Test// 过滤器public void getBySearch8() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();// 搜索方式// 首先构造多关键字查询条件MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("王小妹", "name", "title").field("name", 10);// 构造匹配查询条件MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("address", "广州");// 构造范围查询条件RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("age").gt(10).lt(100);BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();boolQueryBuilder.must(multiMatchQueryBuilder);boolQueryBuilder.filter(matchQueryBuilder);boolQueryBuilder.filter(rangeQueryBuilder);// 将查询条件封装给查询对象searchSourceBuilder.query(boolQueryBuilder);request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}
注意:range和term一次只能对一个Field设置范围过虑
排序,在查询的结果上进行二次排序,支持对 keyword、date、float 等类型添加排序,text类型的字段不允许排序
GET user/_search
{"query": {"bool": {"filter": [{"range": {"age": {"gte": 10,"lte": 100}}}]}},"sort": [{"age": "desc" }]
}
@Test// 排序public void getBySearch9() throws IOException {HttpHost host = HttpHost.create("http://192.168.16.188:9200");RestClientBuilder builder = RestClient.builder(host);client = new RestHighLevelClient(builder);SearchRequest request = new SearchRequest("user");SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();// 构造范围查询条件RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("age").gt(10).lt(100);BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();boolQueryBuilder.filter(rangeQueryBuilder);searchSourceBuilder.sort("age", SortOrder.DESC);// 将查询条件封装给查询对象searchSourceBuilder.query(boolQueryBuilder);request.source(searchSourceBuilder);SearchResponse response = client.search(request, RequestOptions.DEFAULT);SearchHits hits = response.getHits();for (SearchHit hit : hits) {String source = hit.getSourceAsString();System.out.println(source);}client.close();}