本篇内容主要讲解“elasticsearch语法有哪些”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“elasticsearch语法有哪些”吧!
语法
<REST> /<Index>/<Type>/<ID>
命令
| 查询所有索引 | GET /_cat/indices GET /_cat/indices?v |
| 创建索引 | PUT /user |
| 删除索引 | DELETE /user |
| 添加文档 | |
| 删除文档 | |
| 查询文档 | GET /user/_search |
| name字段包含“张三”或“李四”的 | GET /user/_search |
| 匹配所有文档 | GET /user/_search { "query": { "match_all":{} } } |
| 所有name字段，包含“张三”的 | GET /user/_search { "query": { "match_phrase":{"name": "张三"} } } |
| bool查询 所有数据中，name字段同时 包含”张三“、”李四“的 | GET /user/_search { "query": { "bool": { "must": [ {"match": {"name": "张三"}}, {"match": {"name": "李四"}}, ], } } }
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| bool查询 所有数据中，name字段 包含”张三“或”李四“的 | GET /user/_search { "query": { "bool": { "should": [ {"match": {"name": "张三"}}, {"match": {"name": "李四"}}, ], } } }
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| bool查询 所有数据中，name字段同时 不包含”张三“也不包含”李四“的 | GET /user/_search { "query": { "bool": { "must_not": [ {"match": {"name": "张三"}}, {"match": {"name": "李四"}}, ], } } }
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| bool查询 所有数据中，name字段 包含”张三“，但不包含”李四“的 | GET /user/_search { "query": { "bool": { "must": [ {"match": {"name": "张三"}}, ], "must_not": [ {"match": {"name": "李四"}}, ], } } } |
| 过滤查询 所有数据中，10<=age<=20的 | GET /user/_search { "query": { "bool": { "must": [ {"match_all": {}}, ], "filter": { "range": {"age": {"gte":10, "lte": 20}} } } } } |
| 聚合查询 根据state分组，倒序，统计state、count(id) 等同于: SELECT state, COUNT(*) FROM bank GROUP BY state ORDER BY COUNT(*) DESC 说明： size=0 是为了不要查询文档，只要聚合结果 | GET /user/_search |
| 聚合查询 根据state分组，倒序，统计state、 count(id)、avg(balance) 等同于: SELECT state, COUNT(*), avg(balance) FROM bank GROUP BY state ORDER BY COUNT(*) DESC | GET /user/_search { "size": 0, "aggs": { "group_by_state": { "terms": { "field": "state.keyword" }, "aggs": { "average_balance": { "avg": { "field": "balance" } } } } } } |
| 聚合查询 根据state分组，balance平均值倒序，统计state、 count(id)、avg(balance) 等同于: SELECT state, COUNT(*), avg(balance) FROM bank GROUP BY state ORDER BY avg(balance) DESC | GET /user/_search { "size": 0, "aggs": { "group_by_state": { "terms": { "field": "state.keyword", "order": { "average_balance": "desc" } }, "aggs": { "average_balance": { "avg": { "field": "balance" } } } } } } |
| 聚合查询 根据age年龄段分组，然后按照性别分组， 然后获取balance平均值 | GET /user/_search { "size": 0, "aggs": { "group_by_age": { "range": { "field": "age", "ranges": [ { "from": 20, "to": 30 }, { "from": 30, "to": 40 }, { "from": 40, "to": 50 } ] }, "aggs": { "group_by_gender": { "terms": { "field": "gender.keyword" }, "aggs": { "average_balance": { "avg": { "field": "balance" } } } } } } } } |
到此，相信大家对“elasticsearch语法有哪些”有了更深的了解，不妨来实际操作一番吧！这里是亿速云网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！
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