一、 一般查詢... 2
（一） matchAllQuery(client). 2
（二） matchQuery(client);3
（三） multiMatchQuery(client);3
（四） wildcardQuery()模糊查詢... 3
（五） commonTermQuery(client);3
（六） termQuery(client);4
（七） testPrefixQuery前綴... 4
（八） rangeQuery(client); 範圍查詢... 4
1、 兩種寫法... 5
（九） nested query. 5
（十） 其他查詢... 6
二、 聚合查詢AggsQueryTest7
（一） avgQuery(client);7
（二） minQuery(client);8
（三） maxQuery(client). 8
（四） valueCountQuery(client); //統計個數... 8
值計算聚合... 8
（五） extendedStatsQuery(client);//統計聚合(一堆). 8
（六） percentileQuery(client). 9
（七） percentileRankQuery(client);//百分比... 9
（八） rangeQuery(client)//範圍... 9
（九） histogramQuery(client);//柱狀圖聚合... 10
（十） dateHistogramQuery(client);// 按日期間隔分組... 10
（十一） 獲取聚合裏面的結果... 10
（十二） 嵌套的聚合... 10
（十三） 反轉嵌套... 10
三、 二級分組的例子：... 10
四、 嵌套查詢... 11
（一） constantScoreQuery(client);11
（二） booQuery(client)（最常用）... 12
1、 經典案例... 12
（三） disMaxQuery(client);13
五、 本案例數據導入... 14
一、一般查詢
（一）matchAllQuery(client)
matchAllQuery()方法用來匹配全部文檔
|
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有選擇的打印
|
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. }
|
（二）matchQuery(client);
不能寫爲matchQuery("name", "to")
matchQuery("filedname","value")匹配單個字段，匹配字段名爲filedname,值爲value的文檔
|
QueryBuilder qb = QueryBuilders.matchQuery("title", "article"); |
（三）multiMatchQuery(client);
多個字段匹配某一個值
1. QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("music",
2. "name", "interest");//搜索name中或interest中包含有music的文檔（必須與music一致）
（四）wildcardQuery()模糊查詢
模糊查詢，?匹配單個字符，匹配多個字符
[java] view plain copy
1. WildcardQueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name",
2. "jack");//搜索名字中含有jack文檔（name中只要包含jack即可）
（五）commonTermQuery(client);
一種略高級的查詢，充分考慮了stop-word的低優先級，提高了查詢精確性。
將terms分爲了兩種：more-importent（low-frequency） and less important（high-frequency）。less-important比如stop-words，eg：the and。
QueryBuilder qb = QueryBuilders
.commonTermsQuery("title","article");
（六）termQuery(client);
termQuery("key", obj) 完全匹配
termsQuery("key", obj1, obj2..) 一次匹配多個值
QueryBuilder qb =QueryBuilders
.termQuery("title","article");
// QueryBuilder qb = QueryBuilders
// .termsQuery("title","article","relevence");
（七）testPrefixQuery前綴
參考網址：https://www.cnblogs.com/wenbronk/p/6432990.html</p>
/
前綴查詢
/
@Test
public void testPrefixQuery() {
QueryBuilder queryBuilder = QueryBuilders.matchQuery("user", "kimchy");
searchFunction(queryBuilder);
}
（八）rangeQuery(client);範圍查詢
// 閉區間 QueryBuilderquery = QueryBuilders.rangeQuery("age").from(10).to(20); // 開區間 QueryBuilder query = QueryBuilders.rangeQuery("age").gt(10).lt(20);
1、兩種寫法
QueryBuilder qb = QueryBuilders
.rangeQuery("like")
.gte(5)
.lt(7);
// QueryBuilderqb = QueryBuilders
// .rangeQuery("like")
// .from(5)
// .to(7)
// .includeLower(true)// 包含上屆
// .includeUpper(false);// 包含下屆
（九）nested query
在關係查詢中，存在一對多和多對一的關係。因爲就會出現兩種查詢情況。
在解釋查詢關係之前，需要理解一下Relationship Name，如文檔中contact和account的關係 ，一個Account會有多個contact，一個Contact也會有多個Account，但是最終歸結的關係爲Account對contact的關係爲一對多。也就是說 在contact上保存有對account'的引用，這個引用的名稱就是RelationshipName（區別於field name），類似於外鍵的名稱。
下面介紹兩種查詢
1、多對一的查詢。
salesforce 中特有的__r模式，直接關聯到parent上，如contact上存有對account的引用，那麼我可以直接關聯出account上的相關字段。
[sql] view plain copy
1. select id,name ,account.name,account.id from contact
2、一對多的查詢
嵌入式查詢(nestedquery),這種方式適合在父的一端查詢相關子的記錄。如：我想查找到負責這個account的全部contact。
[sql] view plain copy
1. select id,name,(select id,name from contacts)
2. from account
查詢結果如圖：
這樣就會關聯出所以的contact數據，contact部分的展示形式json串。注意contacts不是對象名稱，是Relationshipname
（十）其他查詢
QueryBuilder qb =QueryBuilders.existsQuery("str");
//QueryBuilder qb =QueryBuilders.prefixQuery("name", "prefix");
//QueryBuilder qb =QueryBuilders.regexpQuery("user", "k.*y");
正則表達式
/ 模糊查詢 不能用通配符, 不知道幹啥用 /
//QueryBuilder qb = QueryBuilders.fuzzyQuery("name", "kimzhy");
|
//QueryBuilder qb =QueryBuilders.typeQuery("my_type");
/** 只查詢一個id的 QueryBuilders.idsQuery(String...type).ids(Collection<String> ids) /
//QueryBuilder qb = QueryBuilders.idsQuery("my_type","type2").addIds("1","2","5");
|
二、聚合查詢AggsQueryTest
（一）avgQuery(client);
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();
}
（二）minQuery(client);
MinBuilderagg = AggregationBuilders
.min("min_num")
.field("like");
（三）maxQuery(client)
MaxBuilderagg = AggregationBuilders
.max("max_num")
.field("like");
（四）valueCountQuery(client); //統計個數
值計算聚合
SearchResponseres = null;
ExtendedStatsBuilderagg = AggregationBuilders
.extendedStats("extended_stats_num")
.field("like");
（五）extendedStatsQuery(client);//統計聚合(一堆)
返回聚合分析後所有指標，比Stats多三個統計結果：平方和、方差、標準差
|
1 2 3 4 5 |
{ "aggs" : { "grades_stats" : { "extended_stats" : { "field" : "grade" } } } } |
ExtendedStatsBuilder agg =AggregationBuilders.extendedStats("extended_stats_num").field("like");
（六）percentileQuery(client)
PercentilesBuilderagg = AggregationBuilders
.percentiles("percentile_num")
.field("like")
.percentiles(95,99,99.9);
（七）percentileRankQuery(client);//百分比
PercentileRanksBuilderagg = AggregationBuilders
.percentileRanks("percentile_rank_num")
.field("like")
.percentiles(3,5);
（八） rangeQuery(client)//範圍
AggregationBuilder agg =
AggregationBuilders
.range("agg")
.field("like")
.addUnboundedTo(3)
.addRange(3, 5)
.addUnboundedFrom(5);
（九）histogramQuery(client);//柱狀圖聚合
（十）dateHistogramQuery(client);// 按日期間隔分組
（十一）獲取聚合裏面的結果
TopHitsBuilder thb= AggregationBuilders.topHits("top_result");
（十二）嵌套的聚合
NestedBuilder nb= AggregationBuilders.nested("negsted_path").path("quests");
（十三）反轉嵌套
AggregationBuilders.reverseNested("res_negsted").path("kps ");
三、二級分組的例子：
上面這些基本就是常用的聚合查詢了，在嵌套（nested）下面的子聚合查詢就是嵌套查詢了，除了嵌套查詢，其他的聚合查詢也可以無限級添加子查詢
舉個例子
SearchRequestBuildersearch= client.prepareSearch("index").setTypes("type");
TermsBuilderone= AggregationBuilders.terms("group_name").field("name");
TermsBuildertwo= AggregationBuilders.terms("group_age").field("age");
one.subAggregation(two)
search.addAggregation(one);
Terms terms=search.get().getAggregations().get("group_name");
for(Terms.Bucket name_buk:terms.getBuckets()){
//一級分組的內容
Terms terms_age= name_buk.getAggregations().get("group_age");
for(Terms.Bucket age_buk:terms_age.getBuckets()){
//二級分組的內容
System.out.println(name_buk.getKey()+" "+age_buk.getKey()+" "+age_buk.getDocCount());
}
}
四、嵌套查詢
（一）constantScoreQuery(client);
/
包裹查詢, 高於設定分數, 不計算相關性
/
@Test
public void testConstantScoreQuery() {
QueryBuilder queryBuilder = QueryBuilders.constantScoreQuery(QueryBuilders.termQuery("name", "kimchy")).boost(2.0f);
searchFunction(queryBuilder);
（二）booQuery(client)（最常用）
/
組合查詢
must(QueryBuilders) : AND
mustNot(QueryBuilders): NOT
should: : OR
/
publicstaticvoid booQuery(Client client) {//最有用的嵌套查詢
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());
}
1、經典案例
如果需要查詢(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;
}
返回結果：
{"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"}
作者：唐影若凡
鏈接：https://www.jianshu.com/p/a3694b13bf89<br> 來源：簡書
著作權歸作者所有。商業轉載請聯繫作者獲得授權，非商業轉載請註明出處。
（三）disMaxQuery(client);
/**
disMax查詢
對子查詢的結果做union, score沿用子查詢score的最大值,
廣泛用於muti-field查詢
*/
@Test
public void testDisMaxQuery() {
QueryBuilder queryBuilder = QueryBuilders.disMaxQuery()
.add(QueryBuilders.termQuery("user", "kimch")) // 查詢條件
.add(QueryBuilders.termQuery("message", "hello"))
.boost(1.3f)
.tieBreaker(0.7f);
searchFunction(queryBuilder);
}
五、本案例數據導入
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'</p>
curl -XGET'http://169.254.135.217:9200/search_test/_mapping/article?pretty'</p>
curl -XHEAD -i'http://169.254.135.217:9200/search_test/article'</p>
/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"
}