1、 通常查询... 2html
(一) matchAllQuery(client). 2java
(二) matchQuery(client);3正则表达式
(三) multiMatchQuery(client);3sql
(四) wildcardQuery()模糊查询... 3json
(五) commonTermQuery(client);3app
(六) termQuery(client);4less
(七) testPrefixQuery前缀... 4curl
(八) rangeQuery(client); 范围查询... 4ui
一、 两种写法... 5url
(九) nested query. 5
(十) 其余查询... 6
2、 聚合查询AggsQueryTest7
(一) avgQuery(client);7
(二) minQuery(client);8
(三) maxQuery(client). 8
(四) valueCountQuery(client); //统计个数... 8
值计算聚合... 8
(五) extendedStatsQuery(client);//统计聚合(一堆). 8
(六) percentileQuery(client). 9
(七) percentileRankQuery(client);//百分比... 9
(八) rangeQuery(client)//范围... 9
(九) histogramQuery(client);//柱状图聚合... 10
(十) dateHistogramQuery(client);// 按日期间隔分组... 10
(十一) 获取聚合里面的结果... 10
(十二) 嵌套的聚合... 10
(十三) 反转嵌套... 10
3、 二级分组的例子:... 10
4、 嵌套查询... 11
(一) constantScoreQuery(client);11
(二) booQuery(client)(最经常使用)... 12
一、 经典案例... 12
(三) disMaxQuery(client);13
5、 本案例数据导入... 14
matchAllQuery()方法用来匹配所有文档
public static void matchAllQuery(Client client ) { SearchResponse res = null; QueryBuilder qb = QueryBuilders.matchAllQuery();
res = client.prepareSearch("search_test") .setTypes("article") .setSearchType(SearchType.DFS_QUERY_THEN_FETCH) .setQuery(qb) .setFrom(0) .setSize(10) .execute().actionGet(); for (SearchHit hit: res.getHits().getHits()){ System.out.println(hit.getSourceAsString()); } |
for有选择的打印
1. for (SearchHit searchHit : searchHits) { 2. String name = (String) searchHit.getSource().get("name"); 3. String birth = (String) searchHit.getSource().get("birth"); 4. String interest = (String) searchHit.getSource().get("interest"); 5. System.out.println("-------------" + (++i) + "------------"); 6. System.out.println(name); 7. System.out.println(birth); 8. System.out.println(interest); 9. }
|
不能写为matchQuery("name", "to*")
matchQuery("filedname","value")匹配单个字段,匹配字段名为filedname,值为value的文档
QueryBuilder qb = QueryBuilders.matchQuery("title", "article"); |
多个字段匹配某一个值
1. QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("music",
2. "name", "interest");//搜索name中或interest中包含有music的文档(必须与music一致)
模糊查询,?匹配单个字符,*匹配多个字符
[java] view plain copy
1. WildcardQueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name",
2. "*jack*");//搜索名字中含有jack文档(name中只要包含jack便可)
一种略高级的查询,充分考虑了stop-word的低优先级,提升了查询精确性。
将terms分为了两种:more-importent(low-frequency) and less important(high-frequency)。less-important好比stop-words,eg:the and。
QueryBuilder qb = QueryBuilders
.commonTermsQuery("title","article");
* termQuery("key", obj) 彻底匹配
* termsQuery("key", obj1, obj2..) 一次匹配多个值
QueryBuilder qb =QueryBuilders
.termQuery("title","article");
// QueryBuilder qb = QueryBuilders
// .termsQuery("title","article","relevence");
参考网址:https://www.cnblogs.com/wenbronk/p/6432990.html
/**
* 前缀查询
*/
@Test
public void testPrefixQuery() {
QueryBuilder queryBuilder = QueryBuilders.matchQuery("user", "kimchy");
searchFunction(queryBuilder);
}
// 闭区间 QueryBuilderquery = QueryBuilders.rangeQuery("age").from(10).to(20); // 开区间 QueryBuilder query = QueryBuilders.rangeQuery("age").gt(10).lt(20);
QueryBuilder qb = QueryBuilders
.rangeQuery("like")
.gte(5)
.lt(7);
// QueryBuilderqb = QueryBuilders
// .rangeQuery("like")
// .from(5)
// .to(7)
// .includeLower(true)// 包含上届
// .includeUpper(false);// 包含下届
在关系查询中,存在一对多和多对一的关系。由于就会出现两种查询状况。
在解释查询关系以前,须要理解一下Relationship Name,如文档中contact和account的关系 ,一个Account会有多个contact,一个Contact也会有多个Account,可是最终归结的关系为Account对contact的关系为一对多。也就是说 在contact上保存有对account'的引用,这个引用的名称就是RelationshipName(区别于field name),相似于外键的名称。
下面介绍两种查询
一、多对一的查询。
salesforce 中特有的__r模式,直接关联到parent上,如contact上存有对account的引用,那么我能够直接关联出account上的相关字段。
[sql] view plain copy
1. select id,name ,account.name,account.id from contact
二、一对多的查询
嵌入式查询(nestedquery),这种方式适合在父的一端查询相关子的记录。如:我想查找到负责这个account的所有contact。
[sql] view plain copy
1. select id,name,(select id,name from contacts)
2. from account
查询结果如图:
这样就会关联出因此的contact数据,contact部分的展现形式json串。注意contacts不是对象名称,是Relationshipname
QueryBuilder qb =QueryBuilders.existsQuery("str");
//QueryBuilder qb =QueryBuilders.prefixQuery("name", "prefix");
//QueryBuilder qb =QueryBuilders.regexpQuery("user", "k.*y");
正则表达式
/** * 模糊查询 * 不能用通配符, 不知道干啥用 */
//QueryBuilder qb = QueryBuilders.fuzzyQuery("name", "kimzhy");
|
//QueryBuilder qb =QueryBuilders.typeQuery("my_type");
/** * 只查询一个id的 * QueryBuilders.idsQuery(String...type).ids(Collection<String> ids) */
//QueryBuilder qb = QueryBuilders.idsQuery("my_type","type2").addIds("1","2","5");
|
publicstatic void avgQuery(Client client ) {
SearchResponseres = null;
AvgBuilderagg = AggregationBuilders
.avg("avg_num")
.field("like");
res= client.prepareSearch("search_test")
.setTypes("article")
.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
.addAggregation(agg)
.setFrom(0)
.setSize(10)
.execute().actionGet();
System.out.println(res);
//on shutdown
client.close();
}
MinBuilderagg = AggregationBuilders
.min("min_num")
.field("like");
MaxBuilderagg = AggregationBuilders
.max("max_num")
.field("like");
SearchResponseres = null;
ExtendedStatsBuilderagg = AggregationBuilders
.extendedStats("extended_stats_num")
.field("like");
返回聚合分析后全部指标,比Stats多三个统计结果:平方和、方差、标准差
1 2 3 4 5 |
{ "aggs" : { "grades_stats" : { "extended_stats" : { "field" : "grade" } } } } |
ExtendedStatsBuilder agg =AggregationBuilders.extendedStats("extended_stats_num").field("like");
PercentilesBuilderagg = AggregationBuilders
.percentiles("percentile_num")
.field("like")
.percentiles(95,99,99.9);
PercentileRanksBuilderagg = AggregationBuilders
.percentileRanks("percentile_rank_num")
.field("like")
.percentiles(3,5);
AggregationBuilder agg =
AggregationBuilders
.range("agg")
.field("like")
.addUnboundedTo(3)
.addRange(3, 5)
.addUnboundedFrom(5);
按日期间隔分组
(十一)
获取聚合里面的结果
"top_result"TopHitsBuilder thb= AggregationBuilders.topHits();
(十二)
嵌套的聚合
"negsted_path""quests"NestedBuilder nb= AggregationBuilders.nested().path();
(十三)
反转嵌套
"res_negsted""kps "AggregationBuilders.reverseNested().path();
上面这些基本就是经常使用的聚合查询了,在嵌套(nested)下面的子聚合查询就是嵌套查询了,除了嵌套查询,其余的聚合查询也能够无限级添加子查询
举个例子
search"index""type"SearchRequestBuilder= client.prepareSearch().setTypes();
one"group_name""name"TermsBuilder= AggregationBuilders.terms().field();
two"group_age""age"TermsBuilder= AggregationBuilders.terms().field();
onetwo.subAggregation()
searchone.addAggregation();
searchgetget"group_name" Terms terms=.().getAggregations().();
for (Terms.Bucket name_buk:terms.getBuckets()){
//一级分组的内容
get"group_age" Terms terms_age= name_buk.getAggregations().();
for (Terms.Bucket age_buk:terms_age.getBuckets()){
//二级分组的内容
out" "" " System..println(name_buk.getKey()++age_buk.getKey()++age_buk.getDocCount());
}
}
/**
* 包裹查询, 高于设定分数, 不计算相关性
*/
@Test
public void testConstantScoreQuery() {
QueryBuilder queryBuilder = QueryBuilders.constantScoreQuery(QueryBuilders.termQuery("name", "kimchy")).boost(2.0f);
searchFunction(queryBuilder);
/**
* 组合查询
* must(QueryBuilders) : AND
* mustNot(QueryBuilders): NOT
* should: : OR
*/
publicstaticvoid booQuery(Client client) {//最有用的嵌套查询
SearchResponse res = null;
QueryBuilder qb =QueryBuilders.boolQuery()
.should(QueryBuilders.termQuery("title", "02"))
// .mustNot(QueryBuilders.termQuery("title","article"))
.should(QueryBuilders.termQuery("title", "relevance"));
// .filter(QueryBuilders.termQuery("title","article"));
res = client.prepareSearch("search_test").setTypes("article").setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
.setQuery(qb).setFrom(0).setSize(10).execute().actionGet();
for (SearchHit hit : res.getHits().getHits()) {
System.out.println(hit.getSourceAsString());
}
若是须要查询(addr = Beijing) && (sex = false) && (10 < age< 20)的doc:
public static QueryBuilder createQuery() {
BoolQueryBuilder query =QueryBuilders.boolQuery();
// addr = Beijing
query.must(new QueryStringQueryBuilder("Beijing").field("addr"));
// sex = falese
query.must(new QueryStringQueryBuilder("false").field("sex"));
// age ∈ (10,20)
query.must(new RangeQueryBuilder("age").gt(10).lt(20));
return query;
}
返回结果:
{"pid":168,"age":16,"sex":false,"name":"Tom","addr":"Beijing"}
{"pid":276,"age":19,"sex":false,"name":"Bill","addr":"Beijing"}
{"pid":565,"age":16,"sex":false,"name":"Brown","addr":"Beijing"}
{"pid":73,"age":13,"sex":false,"name":"David","addr":"Beijing"}
做者:唐影若凡
连接:https://www.jianshu.com/p/a3694b13bf89
來源:简书
著做权归做者全部。商业转载请联系做者得到受权,非商业转载请注明出处。
/**
* disMax查询
* 对子查询的结果作union, score沿用子查询score的最大值,
* 普遍用于muti-field查询
*/
@Test
public void testDisMaxQuery() {
QueryBuilder queryBuilder = QueryBuilders.disMaxQuery()
.add(QueryBuilders.termQuery("user", "kimch")) // 查询条件
.add(QueryBuilders.termQuery("message", "hello"))
.boost(1.3f)
.tieBreaker(0.7f);
searchFunction(queryBuilder);
}
curl -XPUT'http://169.254.135.217:9200/search_test/' -d '{
"settings" : {
"index" : {
"number_of_shards" : 3,
"number_of_replicas" : 1
}
},
"mappings" : {
"article" : {
"properties" : {
"title" : { "type" : "string"},
"body" : { "type" : "string"},
"like" : { "type" : "long"},
"publish_date" : { "type" : "date"}
}
}
}
}'
curl -XGET'http://169.254.135.217:9200/search_test/_mapping?pretty'
curl -XGET'http://169.254.135.217:9200/search_test/_mapping/article?pretty'
curl -XHEAD -i'http://169.254.135.217:9200/search_test/article'
/search_test/article/1
{
"title": "What's relevance?",
"body": "atticle body of relevence:Term frequency/inversedocument frequency",
"like": "1",
"publish_date": "2016-03-24"
}
/search_test/article/2
{
"title": "article 02",
"body": "article 02 atticlebody of relevence:Term frequency/inverse document frequency",
"like": "2",
"publish_date":"2016-05-24"
}
/search_test/article/3
{
"title": "article 03",
"body": "article 03 atticlebody of relevence:Term frequency/inverse document frequency",
"like": "3",
"publish_date":"2016-07-24"
}
/search_test/article/4
{
"title": "article 04",
"body": "article 04 atticlebody of relevence:Term frequency/inverse document frequency",
"like": "4",
"publish_date":"2016-09-24"
}
/search_test/article/5
{
"title": "article 05",
"body": "article 04 atticlebody of relevence:Term frequency/inverse document frequency",
"like": "5",
"publish_date":"2016-11-24"
}
/search_test/article/6
{
"title": "Quick brownrabbits",
"body": "Brown rabbits arecommonly seen.",
"like": "6",
"publish_date":"2016-12-24"
}
/search_test/article/7
{
"title": "Keeping petshealthy",
"body": "My quick brown foxeats rabbits on a regular basis.",
"like": "7",
"publish_date":"2017-11-24"
}