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首先初始化数据
POST /forums/articles/_bulk
{ "index": { "_id": 1 }} { "articleID" : "XHDK-A-1293-#fJ3", "userID" : 1, "hidden": false, "postDate": "2017-01-01" } { "index": { "_id": 2 }} { "articleID" : "KDKE-B-9947-#kL5", "userID" : 1, "hidden": false, "postDate": "2017-01-02" } { "index": { "_id": 3 }} { "articleID" : "JODL-X-1937-#pV7", "userID" : 2, "hidden": false, "postDate": "2017-01-01" } { "index": { "_id": 4 }} { "articleID" : "QQPX-R-3956-#aD8", "userID" : 2, "hidden": true, "postDate": "2017-01-02" }POST /forums/articles/_bulk
{ "index": { "_id": 5 }} { "articleID" : "XHDK-C-1293-#fJ3", "userID" : 2, "hidden": false, "postDate": "2017-02-01" } { "index": { "_id": 6 }} { "articleID" : "KDKE-D-9947-#kL5", "userID" : 3, "hidden": false, "postDate": "2017-02-02" } { "index": { "_id": 7 }} { "articleID" : "JODL-E-1937-#pV7", "userID" : 4, "hidden": false, "postDate": "2017-02-01" } { "index": { "_id": 8 }} { "articleID" : "QQPX-F-3956-#aD8", "userID" : 5, "hidden": true, "postDate": "2017-03-02" }POST /forum/article/_bulk{ "update": { "_id": "1"} }{ "doc" : {"tag" : ["java", "hadoop"]} }{ "update": { "_id": "2"} }{ "doc" : {"tag" : ["java"]} }{ "update": { "_id": "3"} }{ "doc" : {"tag" : ["hadoop"]} }{ "update": { "_id": "4"} }{ "doc" : {"tag" : ["java", "elasticsearch"]} }{ "update": { "_id": "5"} }{ "doc" : {"tag" : ["java", "hadoop"]} }{ "update": { "_id": "6"} }{ "doc" : {"tag" : ["java","mysql"]} }{ "update": { "_id": "7"} }{ "doc" : {"tag" : ["hadoop"]} }{ "update": { "_id": "8"} }{ "doc" : {"tag" : ["java", "elasticsearch","mysql"]} } 第一个简单的查询 查询postDate 在2017-01-01的帖子
GET /forums/articles/_search{ "query": { "constant_score": { "filter": { "bool": { "must": [ { "term": { "postDate": "2017-01-01" } } ] } }, "boost": 1.2 } }} 第二个查询，查询查询postDate 在2017-01-01的帖子或者是用户userid=2发的帖子
POST /forums/articles/_search
{ "query": { "constant_score": { "filter": { "bool": { "should": [ { "term": { "postDate": "2017-01-01" } }, { "term": { "userID": 2 } } ] } } } } }第三个查询，查询用户userid=2 在2017-01-01和2017-01-01发的帖子
POST /forums/articles/_search{ "query": { "constant_score": { "filter": { "bool": { "must": { "term": { "userID": 2 } }, "should": [ { "term": { "postDate": "2017-01-01" } }, { "term": { "postDate": "2017-01-02" } } ] } } } }} 第4个需求 查询tag中包含java和hadoop的文章
POST /forums/articles/_search{ "query": { "constant_score": { "filter": { "bool": { "must": [ { "terms": { "tag": [ "java", "hadoop" ] } } ] } } } }} 第5个需求，我们要查询tag只是java的数据
这时原有数据如果统计的话比较麻烦，我们更新一下原有数据，添加一个新的字段tag_cnt用来表示tag数量，这样只需要查tag中含有java并且tag_cnt=1的数据即可。
POST /forums/articles/_search{ "query": { "constant_score": { "filter": { "bool": { "must": [ { "term": { "tag_cnt": 1 } }, { "term": { "tag": "java" } } ] } } } }} 第6个需求 添加了字段view_cnt用来表示访问次数，查询访问次数在40到80的文章并且发帖日期在2017年2月1日后
POST /forums/articles/_search{ "query": { "constant_score": { "filter": { "bool": { "must": [ { "range": { "view_cnt": { "gte": 40, "lte": 80 } } }, { "range": { "postDate": { "gte": "2017-02-01" } } } ] } } } }} postDate": { "gte": "2017-01-01||+30d" } 上面这种是针对日期类型的一种用法。
第7个需求：查询title中多个关键词的情况，比如java hadoop mysql 或者elasticsearch中出现3次的
GET /forums/articles/_search{ "query": { "bool": { "should": [ {"match": { "title": "java" }}, {"match": { "title": "elasticsearch" }}, { "match": { "title": "hadoop" } }, {"match": { "title": "mysql" }} ], "minimum_should_match": 3 } }} boost 可以进行细粒度的权重控制。
muti_query的例子，先更新数据
POST /forums/articles/_bulk{ "update": { "_id": "1"} }{ "doc" : {"content" : "i like to write best elasticsearch article"} }{ "update": { "_id": "2"} }{ "doc" : {"content" : "i think java is the best programming language"} }{ "update": { "_id": "3"} }{ "doc" : {"content" : "i am only an elasticsearch beginner"} }{ "update": { "_id": "4"} }{ "doc" : {"content" : "elasticsearch and hadoop are all very good solution, i am a beginner"} }{ "update": { "_id": "5"} }{ "doc" : {"content" : "spark is best big data solution based on scala ,an programming language similar to java"} } 按单个字段的结果优先排序
POST /forums/articles/_search{ "query": { "dis_max": { "queries": [ { "match": { "title": "java solution" } }, { "match": { "content": "java solution" } } ] } }} 加入字段权重 同时加入 tie_breaker进行score分值折中 ，title权重为2
POST /forums/articles/_search{ "query": { "dis_max": { "queries": [ { "match": { "title": { "query": "java solution", "minimum_should_match": "50%", "boost" : 2 } } }, { "match": { "content": "java solution" } } ], "tie_breaker": 0.7 } }} cross_fields的
POST /forums/articles/_search{ "query": { "multi_match": { "query": "Peter Smith", "type": "cross_fields", "operator" : "and", "fields": [ "new_author_first_name", "new_author_last_name" ] } }}
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