ES查询 Java RestHighLevelClient API方法
测试环境准备 查询所有文档 分页查询 关键字查询 根据id查询
matchQuery multiMatchQuery BoolQuery filter过滤器 sort排序 高亮
took：本次操作花费的时间，单位为毫秒。 timed_out：请求是否超时 _shards：说明本次操作共搜索了哪些分片
hits：搜索命中的记录 hits.total ： 符合条件的文档总数 hits.hits ：匹配度较高的前N个文档
hits.max_score：文档匹配得分，这里为最高分 _score：每个文档都有一个匹配度得分，按照降序排列。
_source：显示了文档的原始内容。
测试环境准备
1.创建xc_course 索引库 2.创建映射配置 3.插入三条文档
@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
@Autowired
RestHighLevelClient client;
@Autowired
RestClient restClient;
}查询所有文档
1.构建 searchRequest 搜索请求对象 2.设置请求对象的搜索对象的类型
3.构建搜索源对象searchSourceBuilder 4.设置搜索源对象的搜索方式 5.设置搜索源对象的过滤条件
6.向搜索请求对象中设置 搜索源对象 7.执行搜索,获得搜索结果对象searchResponse
8.获得搜索结果数组 SearchHits [ ]
@Test
public void testSearchAll() throws Exception {
//构建搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//设置搜索对象的类型
searchRequest.types("doc");
//构建搜索源对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索源搜索方式
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
//过滤条件 第一个要显示的字段,第二个不显示的
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起Http请求,获得结果对象
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//获得匹配总记录
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑，这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
} 分页查询
只用在构建搜索源对象后设置参数 即可
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
int page = 1;
//每页记录数
int size = 1;
//计算出记录起始下标
int from = (page-1)*size;
searchSourceBuilder.from(from);//起始记录下标，从0开始
searchSourceBuilder.size(size);//每页显示的记录数
//搜索源搜索方式
searchSourceBuilder.query(QueryBuilders.matchAllQuery());关键字查询
设置搜索源对象的查询方式为 termQuery("name","Spring") 表示查询字段为name的 关键字为Spring
searchSourceBuilder.query(QueryBuilders.termQuery("name","spring"));
//设置源字段过虑,第一个参数结果集包括哪些字段，第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();根据id查询
可以根据多个id查询 所以searchSourceBuilder.query(QueryBuilders.termsQuery("_id",ids)); 中传入一个数组
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式 根据id查询
String[] ids = new String[]{"1","2"};
searchSourceBuilder.query(QueryBuilders.termsQuery("_id",ids));
//设置源字段过虑,第一个参数结果集包括哪些字段，第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);matchQuery
匹配查询 匹配字段 description 搜索关键字 spring 开发 框架会被分词为三个
minimumShouldMatch 为匹配度 0.8*3 =2.4 向下取整 2 所以在 description字段中只要有两个词就算匹配成功
QueryBuilders.matchQuery("description","spring开发框架").minimumShouldMatch("80%"))
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式MatchQuery
searchSourceBuilder.query(QueryBuilders.matchQuery("description","spring开发框架")
.minimumShouldMatch("80%"));
//设置源字段过虑,第一个参数结果集包括哪些字段，第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);multiMatchQuery
匹配搜索多个字段
QueryBuilders.multiMatchQuery("spring css","name","description") .minimumShouldMatch("50%") .field("name",10)
设置搜索方式时,使用multiMatchQuery 第一个参数: 搜索的关键字 第二个参数可以为多个: 要搜索的字段(filed)
使用minimumShouldMatch 设置匹配度 这里是只要有一个词就算
field 提升name 字段的得分 权限 每个结果搜索出来后都会有一个得分 这里设置name属性 提升10倍的得分
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式
//MultiMatchQuery
searchSourceBuilder.query(QueryBuilders.multiMatchQuery("spring css","name","description")
.minimumShouldMatch("50%")
.field("name",10));
//设置源字段过虑,第一个参数结果集包括哪些字段，第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);BoolQuery
用于组合查询上述的查询方式
1.定义一个 MultiMatchQueryBuilder 2.定一个 TermQueryBuilder 3.定一个BoolQueryBuilder
4.使用 BoolQueryBuilder 将他们组合起来
boolQueryBuilder.must(multiMatchQueryBuilder); boolQueryBuilder.must(termQueryBuilder);
5.将 BoolQueryBuilder 放入searchSourceBuilder() 设置查询方式
@Test
public void testBoolQuery() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式
//先定义一个MultiMatchQuery
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
.minimumShouldMatch("50%")
.field("name", 10);
//再定义一个termQuery
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("studymodel", "201001");
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
boolQueryBuilder.must(termQueryBuilder);
searchSourceBuilder.query(boolQueryBuilder);
}
filter过滤器
BoolQueryBuilder 不仅可以组合 普通的查询 还可以组合过滤器 性能更高 对查询出来的结果进行过滤
boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel","201001")); 表示 只需要 studymodel字段为 201001的
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(90).lte(100)); 表示过滤价格 大于等于90 小于等于100的
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式 先定义一个MultiMatchQuery
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
.minimumShouldMatch("50%")
.field("name", 10);
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
//定义过虑器
boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel","201001"));
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(90).lte(100));
searchSourceBuilder.query(boolQueryBuilder);sort排序
对查询后结果进行排序, searchSourceBuilder 使用
searchSourceBuilder.sort("studymodel", SortOrder.DESC);
searchSourceBuilder.sort("price", SortOrder.ASC);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//定义过虑器
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));
searchSourceBuilder.query(boolQueryBuilder);
//添加排序
searchSourceBuilder.sort("studymodel", SortOrder.DESC);
searchSourceBuilder.sort("price", SortOrder.ASC);高亮
1. 定义高亮对象 HighlightBuilder( )
2.在关键字前,后 设置标签 highlightBuilder.preTags("
3.设置需要高亮的字段 highlightBuilder.fields().add(new HighlightBuilder.Field("name"));
4.设置源数据 高亮 searchSourceBuilder.highlighter(highlightBuilder);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式先定义一个MultiMatchQuery
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("开发框架", "name", "description")
.minimumShouldMatch("50%")
.field("name", 10);
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
//定义过虑器
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));
searchSourceBuilder.query(boolQueryBuilder);
//设置源字段过虑,第一个参数结果集包括哪些字段，第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//设置高亮
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.preTags("");
highlightBuilder.postTags(" ");
highlightBuilder.fields().add(new HighlightBuilder.Field("name"));
// highlightBuilder.fields().add(new HighlightBuilder.Field("description"));
searchSourceBuilder.highlighter(highlightBuilder);
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);综合结构图
{
"_source" : [ "name", "studymodel", "description","price"],
"query": {
"bool" : {
"must":[
{
"multi_match" : {
"query" : "开发框架",
"minimum_should_match": "50%",
"fields": [ "name^10", "description" ],
"type":"best_fields"
}
}
],
"filter": [
{ "range": { "price": { "gte": 0 ,"lte" : 100}}}
]
}
},
"sort" : [
{
"price" : "asc"
}
],
"highlight": {
"pre_tags": [""],
"post_tags": [""],
"fields": {
"name": {},
"description":{}
}
}
}