matchAllQuery查询
@BeforeEach
void setUp() {
this.client = new RestHighLevelClient(RestClient.builder(
HttpHost.create("http://43.139.59.28:9200")
));
}
@AfterEach
void tearDown() throws IOException {
this.client.close();
}
@Test
void testMatchAll() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
request.source()
.query(QueryBuilders.matchAllQuery());
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}
private void handleResponse(SearchResponse response) {
// 4.解析响应
SearchHits searchHits = response.getHits();
// 4.1.获取总条数
long total = searchHits.getTotalHits().value;
System.out.println("共搜索到" + total + "条数据");
// 4.2.文档数组
SearchHit[] hits = searchHits.getHits();
// 4.3.遍历
for (SearchHit hit : hits) {
// 获取文档source
String json = hit.getSourceAsString();
// 反序列化
HotelDoc hotelDoc = JSON.parseObject(json, HotelDoc.class);
System.out.println("hotelDoc = " + hotelDoc);
}
}结果
match查询
全文检索的match和multi_match查询与match_all的API基本一致。差别是查询条件，也就是query的部分
match
@Test
void testMatch() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
request.source()
.query(QueryBuilders.matchQuery("all", "百家"));
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}结果
multi_match
@Test
void testMatch() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
request.source()
.query(QueryBuilders.multiMatchQuery("百家", "name","business"));
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}结果
精确查询
精确查询主要是两者：
term：词条精确匹配
range：范围查询
与之前的查询相比，差异同样在查询条件，其它都一样
term
@Test
void testTerm() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
request.source()
.query(QueryBuilders.termQuery("city", "北京"));
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}结果
range
@Test
void testTerm() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
request.source()
.query(QueryBuilders.rangeQuery("price").gte(100).lte(2000));
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}结果
布尔查询
布尔查询是用must、must_not、filter等方式组合其它查询
@Test
void testBool() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
// 2.1.准备BooleanQuery
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
// 2.2.添加term
boolQuery.must(QueryBuilders.termQuery("city", "上海"));
// 2.3.添加range
boolQuery.filter(QueryBuilders.rangeQuery("price").lte(2000));
request.source().query(boolQuery);
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}结果
排序、分页
搜索结果的排序和分页是与query同级的参数，因此同样是使用request.source()来设置
@Test
void testPageAndSort() throws IOException {
// 页码，每页大小
int page = 1, size = 5;
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
// 2.1.query
request.source().query(QueryBuilders.matchAllQuery());
// 2.2.排序 sort
request.source().sort("price", SortOrder.ASC);
// 2.3.分页 from、size
request.source().from((page - 1) * size).size(5);
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse(response);
}结果
高亮
高亮的代码与之前代码差异较大，有两点：
查询的DSL：其中除了查询条件，还需要添加高亮条件，同样是与query同级。
结果解析：结果除了要解析_source文档数据，还要解析高亮结果
@Test
void testHighlight() throws IOException {
// 1.准备Request
SearchRequest request = new SearchRequest("hotel");
// 2.准备DSL
// 2.1.query
request.source().query(QueryBuilders.matchQuery("all", "如家"));
// 2.2.高亮
request.source().highlighter(new HighlightBuilder().field("name").requireFieldMatch(false));
// 3.发送请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 4.解析响应
handleResponse1(response);
}
private void handleResponse1(SearchResponse response) {
// 4.解析响应
SearchHits searchHits = response.getHits();
// 4.1.获取总条数
long total = searchHits.getTotalHits().value;
System.out.println("共搜索到" + total + "条数据");
// 4.2.文档数组
SearchHit[] hits = searchHits.getHits();
// 4.3.遍历
for (SearchHit hit : hits) {
// 获取文档source
String json = hit.getSourceAsString();
// 反序列化
HotelDoc hotelDoc = JSON.parseObject(json, HotelDoc.class);
// 获取高亮结果
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
if (!CollectionUtils.isEmpty(highlightFields)) {
// 根据字段名获取高亮结果
HighlightField highlightField = highlightFields.get("name");
if (highlightField != null) {
// 获取高亮值
String name = highlightField.getFragments()[0].string();
// 覆盖非高亮结果
hotelDoc.setName(name);
}
}
System.out.println("hotelDoc = " + hotelDoc);
}
}结果
