首页 > 其他 > 详细

ES QueryBuilder学习

时间:2020-11-27 17:26:24      阅读:3      评论:0      收藏:0      [点我收藏+]
public void test() throws IOException {

# 创建一个Search 对象

SearchRequest searchRequest = new SearchRequest();



# 创建一个Builder 对象 对条件进行封装

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



# 查询条件: 字段名为text 内容含有19的数据

searchSourceBuilder.query(QueryBuilders.matchQuery("text", "19"));

# 查询条件: 在上面条件的基础上 加上字段 jiage 内容含有329的数据

searchSourceBuilder.query(QueryBuilders.matchQuery("jiage", "329"));



# 从搜索结果中取第0条开始的10条数据,数据量最多不要超过10000 会报错,有解决方案百度

searchSourceBuilder.from(0);

searchSourceBuilder.size(10);



# 排序根据字段id 按照正序排列

searchSourceBuilder.sort(new FieldSortBuilder("id").order(SortOrder.ASC));



searchSourceBuilder.fetchSource(false);



# 参数,用于是否需要过滤

String[] includeFields = new String[]{"id", "dizhi","text","jiage"};

# 第1个参数是 需要显示的字段,第2个参数是需要过滤的字段

searchSourceBuilder.fetchSource(includeFields, null);



# 进行构建

searchRequest.source(searchSourceBuilder);

searchRequest.scroll(TimeValue.timeValueMinutes(1L));



SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);



# 获取数据 数据可以是多种类型的

SearchHits hits = searchResponse.getHits();

SearchHit[] hits1 = hits.getHits();



List list = new ArrayList();

for (SearchHit hit : hits1) {

list.add(hit.getSourceAsString());

}

System.out.println(list);

}

}



SearchHit[] searchHits = hits.getHits();

for (SearchHit hit : searchHits) {

// 结果的Index

String index = hit.getIndex();

// 结果的type

String type = hit.getType();

// 结果的ID

String id = hit.getId();

// 结果的评分

float score = hit.getScore();

// 查询的结果 JSON字符串形式

String sourceAsString = hit.getSourceAsString();

// 查询的结果 Map的形式

Map<String, Object> sourceAsMap = hit.getSourceAsMap();

// Document的title

String documentTitle = (String) sourceAsMap.get("title");

// 结果中的某个List

List<Object> users = (List<Object>) sourceAsMap.get("user");

// 结果中的某个Map

Map<String, Object> innerObject = (Map<String, Object>)sourceAsMap.get("innerObject");

}

 

 

QueryBuilder  常用来配合 Search 查询来使用 

boolQuery() 布尔查询,可以用来组合多个查询条件 
fuzzyQuery() 相似度查询 
matchAllQuery() 查询所有数据 
regexpQuery() 正则表达式查询 
termQuery() 词条查询 
wildcardQuery() 模糊查询 
等等.....

1.matchQuery 匹配查询: 


    matchQuery可以简单理解为mysql中的like,但是我不知道我这么理解对不对,因为在elasticsearch中使用matchQuery查询时,他会对查询的field进行分词,打个比方,我们搜索"联想笔记本电脑",他可能会将他拆分为:“联想”,“电脑”,“联想电脑”,那么如果一个filed中包括 联想 两个字就可以被搜出来。当然我们进行查询的这个field的mapping必须是text类型。(如果是中文分词的话,还需要配置中文分词器),他的查询语句和上边基本相似

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



# matchQuery 匹配查询

searchSourceBuilder.query(QueryBuilders.matchQuery("text", "19"));





# multiMatchQuery(Object text, String... fieldNames) 多个字段匹配某一个值

# 搜索name中或interest中包含有music的文档 (必须与music一致)

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



searchSourceBuilder.query(QueryBuilders.multiMatchQuery("music", "name", "interest"));

}







# wildcardQuery()模糊查询,?匹配单个字符,*匹配多个字符

# 搜索名字中含有jack文档 (name中只要包含jack即可)

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



searchSourceBuilder.query(QueryBuilders.wildcardQuery("name","*jack?*"));

}

 

2.matchAllQuery 查询所用

查询指定index和type中的所用记录,相当于sql:select * from sales 

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.matchAllQuery());

}

 

3.termQuery等值搜索

我们在数据库中进行查询的时候,sql:select sales from tvs where brand = ‘小米’,那么在elasticsearch中的javaapi怎么写呢?这里我们用到一个termQuery,他相当于sql语句中的“=”,使用这个搜索一般是对索引中keyword的mapping进行等值搜索      term query 属于过滤器查询,可以处理数字(numbers)、布尔值(Booleans)、日期(dates)以及文本(text)。

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.termQuery("name", "张三"));

}





# terms 是多值判断



public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.termsQuery("name", "张三", "李四", "王五"));

}

 

4.matchPhraseQuery短语搜索

理解:   你会发现,使用“小别克老”没有查询出任何结果,而使用“小别克听”则查询出了我们需要的结果,这便matchPhraseQuery和matchQuery等的区别,在使用matchQuery等时,即使你传入的是“小别克老”,在执行查询时,“小别克老”会被分词器分词,例如paoding解析成“小别/别克/老”,而使用matchPhraseQuery时,“小别克老”并不会被分词器分词,而是直接以一个短语的形式查询,而如果你在创建索引所使用的field的value中没有这么一个短语(顺序无差,且连接在一起),那么将查询不出任何结果。

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.matchPhraseQuery("name", "张三"));

}

 

5.prefixQuery前缀搜索

如我我们需要查询的title中有“大话西游电影”,“大话西游小说”,使用prefixQuery查询“大话西游”,那么那两条数据就会出来

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.prefixQuery("title", "大话西游"));

}

 

6.disMaxQuery


disMaxQuery适用于多个field的进行搜索,我们在多个field搜索时候,可能会遇到多个field匹配到了更多的词会在前面,而一个field匹配了更多的词就会排名靠后。disMax就是解决这个问题,dismax使搜索到的结果,应该是某一个field中匹配到了尽可能多的关键词,被排在前面;而不是尽可能多的field匹配到了少数的关键词,排在了前面

public void test() throws IOException {

SearchRequest searchRequest = new SearchRequest();

SearchSourceBuilder searchSourceBuilder = newSearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.disMaxQuery().add(QueryBuilders.matchQuery("name", "张三")));

}

 

7.boolQuery 组合查询条件

boolQuery用来将搜索的条件进行组合,即将多个组合条件组合在一起,常用的几种组合方式有must、should、mustNot,我们拿下面对应的sql语句举例子

# sql:select * from sales where brand = ‘小米‘ and color=‘红色‘,通过bool将两个查询条件组合,

# must相当于sql中的= 必须匹配的意思

BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

boolQuery.must(QueryBuilders.termQuery("brand", "小米"))

.must(QueryBuilders.termQuery("color", "红色"));



# sql:select * from sales where brand = ‘小米‘ or color=‘红色‘;使用should相当于sql语句中的or

BoolQueryBuilder boolQuery2 = QueryBuilders.boolQuery();

boolQuery2.should(QueryBuilders.termQuery("brand", "小米"))

.should(QueryBuilders.termQuery("color", "红色"));



# sql:select * from sales where brand = ‘小米‘ and color != ‘红色‘ mustNot相当于!= 必须不匹配

BoolQueryBuilder boolQuery3 = QueryBuilders.boolQuery();

boolQuery2.must(QueryBuilders.termQuery("brand", "小米"))

.mustNot(QueryBuilders.termQuery("color", "红色"));



# sql:select * from sales where (brand = ‘小米‘ or color = ‘红色‘) and brand != ‘长虹‘

BoolQueryBuilder boolQuery4 = QueryBuilders.boolQuery();

BoolQueryBuilder boolQuery5 = QueryBuilders.boolQuery();

boolQuery5.should(QueryBuilders.termQuery("brand", "小米"))

.should(QueryBuilders.termQuery("color", "红色"));

boolQuery4.must(boolQuery5)

.mustNot(QueryBuilders.termQuery("brand", "长虹"));









//设置查询条件



BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

if (StringUtils.isNotEmpty(text)) {

//查询条件:字段名为text,内容含有text的数据

boolQuery.must(QueryBuilders.matchQuery("text", text));

}

if (StringUtils.isNotEmpty(keywords)) {

//查询条件:字段名为keywords,内容含有keywords的数据

boolQuery.must(QueryBuilders.matchQuery("keywords", keywords));

}

if (StringUtils.isNotEmpty(topic)) {

//查询条件:字段名为topic,内容含有topic的数据

boolQuery.must(QueryBuilders.matchQuery("topic", topic));

}

 

8.rangeQuery属于过滤器查询

是范围查询,有时候,范围查询比精确值查询更有用,比如我想知道价格在20到40之间的商品;

range query可以处理数字(numbers)、日期(dates)以及字符串,不过字符串还是不要用范围查询的好,效率会很低;

对数字取范围没啥好说的, 就大于、大于等于、小于、小于等于四个符号加数字就可以;

# 闭区间查询

QueryBuilder qb1 = QueryBuilders.rangeQuery("${fieldName}").from(${fieldValue1}).to(${fieldValue2});



# 开区间查询

QueryBuilder qb1 = QueryBuilders.rangeQuery("${fieldName}").from(${fieldValue1}, false).to(${fieldValue2}, false);



# 大于

QueryBuilder qb1 = QueryBuilders.rangeQuery("${fieldName}").gt(${fieldValue});



#大于等于

QueryBuilder qb1 = QueryBuilders.rangeQuery("${fieldName}").gte(${fieldValue});



# 小于

QueryBuilder qb1 = QueryBuilders.rangeQuery("${fieldName}").lt(${fieldValue});



# 小于等于

QueryBuilder qb1 = QueryBuilders.rangeQuery("${fieldName}").lte(${fieldValue});



# 多条件案例

QueryBuilder qb1 = QueryBuilders.moreLikeThisQuery(new String[]{"${fieldName1}"}, new String[]{"${fieldValue1}"}, null);

QueryBuilder qb2 = QueryBuilders.rangeQuery("${fieldName2}").gt("${fieldValue2}");

QueryBuilder qb3 = QueryBuilders.boolQuery().must(qb1).must(qb2);

转载:ES QueryBuilder学习_qq_42383787的博客-CSDN博客_querybuilder

官网介绍:https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-query-builders.html
 

 

 

ES QueryBuilder学习

原文:https://www.cnblogs.com/dispark/p/14048915.html

(0)
(0)
   
举报
评论 一句话评论(0
© 2014 bubuko.com 版权所有 鲁ICP备09046678号-4
打开技术之扣,分享程序人生!
             

鲁公网安备 37021202000002号