Restful API查询

准备测试数据
1、match_all
2、match
3、bool
4、term
5、range
6、exists
7、filter
8、浅分页
9、深分页

准备测试数据

POST /school/student/_bulk
{ "index": { "_id": 1 }}
{ "name" : "liubei", "age" : 20 , "sex": "boy", "birth": "1996-01-02" , "about": "i like diaocan he girl" }
{ "index": { "_id": 2 }}
{ "name" : "guanyu", "age" : 21 , "sex": "boy", "birth": "1995-01-02" , "about": "i like diaocan" }
{ "index": { "_id": 3 }}
{ "name" : "zhangfei", "age" : 18 , "sex": "boy", "birth": "1998-01-02" , "about": "i like travel" }
{ "index": { "_id": 4 }}
{ "name" : "diaocan", "age" : 20 , "sex": "girl", "birth": "1996-01-02" , "about": "i like travel and sport" }
{ "index": { "_id": 5 }}
{ "name" : "panjinlian", "age" : 25 , "sex": "girl", "birth": "1991-01-02" , "about": "i like travel and wusong" }
{ "index": { "_id": 6 }}
{ "name" : "caocao", "age" : 30 , "sex": "boy", "birth": "1988-01-02" , "about": "i like xiaoqiao" }
{ "index": { "_id": 7 }}
{ "name" : "zhaoyun", "age" : 31 , "sex": "boy", "birth": "1997-01-02" , "about": "i like travel and music" }
{ "index": { "_id": 8 }}
{ "name" : "xiaoqiao", "age" : 18 , "sex": "girl", "birth": "1998-01-02" , "about": "i like caocao" }
{ "index": { "_id": 9 }}
{ "name" : "daqiao", "age" : 20 , "sex": "girl", "birth": "1996-01-02" , "about": "i like travel and history" }
{ "index": { "_id": 10 }}
{ "name" : "luban", "age" : 21 , "sex": "girl", "birth": "1996-01-02" , "about": "i like travel and history" }
{ "index": { "_id": 11 }}
{ "name" : "guiguzi", "age" : 29 , "sex": "girl", "birth": "1996-01-02" , "about": "i like football" }
{ "index": { "_id": 12 }}
{ "name" : "zhuangzhou", "age" : 40 , "sex": "girl", "birth": "1996-01-02" , "about": "i like history" }

ES中两种查询方式
- GET：指定documentId来查询
  - 只能查询这一条documentId的数据
  - 类似于Hbase中的get
- GET：指定_search，通过构建查询器Query来做复杂的条件查询
  - 类似于Hbase中scan

1、match_all

查询：匹配所有查询
- 默认只显示10条

GET /school/student/_search?pretty
{"query": {"match_all": {}}
}

指定条数

GET /school/student/_search?pretty
{"query": {"match_all": {}},"size":12
}

2、match

模糊匹配查询：ES中默认的排序规则：按照评分降序排序

GET /school/student/_search?pretty
{"query": {"match": {"about": "travel"}}
}

{"took": 56,"timed_out": false,"_shards": {"total": 5,"successful": 5,"skipped": 0,"failed": 0},"hits": {"total": 6,"max_score": 0.8538154,                 --所有符合条件的数据中最高评分"hits": [{"_index": "school","_type": "student","_id": "4","_score": 0.8538154,"_source": {"name": "diaocan","age": 20,"sex": "girl","birth": "1996-01-02","about": "i like travel and sport"}},{"_index": "school","_type": "student","_id": "7","_score": 0.6931472,"_source": {"name": "zhaoyun","age": 31,"sex": "boy","birth": "1997-01-02","about": "i like travel and music"}},{"_index": "school","_type": "student","_id": "3","_score": 0.6931472,"_source": {"name": "zhangfei","age": 18,"sex": "boy","birth": "1998-01-02","about": "i like travel"}},{"_index": "school","_type": "student","_id": "5","_score": 0.5000329,"_source": {"name": "panjinlian","age": 25,"sex": "girl","birth": "1991-01-02","about": "i like travel and wusong"}},{"_index": "school","_type": "student","_id": "9","_score": 0.5000329,"_source": {"name": "daqiao","age": 20,"sex": "girl","birth": "1996-01-02","about": "i like travel and history"}},{"_index": "school","_type": "student","_id": "10","_score": 0.5000329,"_source": {"name": "luban","age": 21,"sex": "girl","birth": "1996-01-02","about": "i like travel and history"}}]}
}

3、bool

多条件查询：条件之间的逻辑关系
- must：必须满足的条件
- must_not：必须不能满足的条件
- should：应该，可有可无，或者
测试
查询所有喜欢旅游但性别不是男性的

GET /school/student/_search?pretty
{"query": {"bool": {"must": { "match": {"about": "travel"}},"must_not": {"match": {"sex": "boy"}}}}
}

查询所有喜欢旅游的，如果有男的也可以

GET /school/student/_search?pretty
{"query": {"bool": {"must": { "match": {"about": "travel"}},"should": {"match": {"sex": "boy"}}         }}
}

4、term

词条查询【重要】，精准匹配

GET /school/student/_search?pretty
{"query": {"bool": {"must": { "term": {"about": "travel"}},"should": {"term": {"sex": "boy"}}         }}
}

terms：多个词匹配

GET /school/student/_search?pretty
{"query": {"bool": {"must": { "terms": {"about": ["travel","history"]}}          }}
}
about": ["travel","history"]：值是或者关系

5、range

范围查询

GET /school/student/_search?pretty
{"query": {"range": {"age": {"gt":20,"lte":25}}}
}

bool多条件嵌套

GET /school/student/_search?pretty
{"query": {"bool": {"must": [{"term": {"about": {"value": "travel"}}},{"range": {"age": {"gte": 20,"lte": 30}}}]}}
}

6、exists

判断是否存在

GET /school/student/_search?pretty
{"query": {"exists": {"field": "age"  }}
}

7、filter

过滤查询

GET /school/student/_search?pretty
{"query": {"bool": {"must": {"match": {"about": "travel"}},     "filter": [{"term":{"age": 20}}]}}
}

8、浅分页

类似于limit M,N
- M：从第几条开始，M从0开始计数
- N：显示几条
需要给定的条件
- 起始位置：从0开始
- 页面大小
分页查询

GET /school/_search?pretty
{"from" : 0 , "size" : 3
}

GET /school/_search?pretty
{"from" : 3 , "size" : 3
}

从0开始一直扫描到起始位置，然后显示size的数据
每次只返回一页
工作中不推荐使用浅分页
原理是对每个分片都查询N条，然后再合并根据评分排序取最后的N条
如果你的from的位置比较大，性能非常差
- from：10000 size：10
- index
  - shard0：from：10000 size：10
  - shard1：from：10000 size：10
  - shard2：from：10000 size：10
  - shard3：from：10000 size：10
  - shard4：from：10000 size：10
  - |
  - 返回50条，根据评分排序，取前10条

9、深分页

自动翻页
不建议将结果在内存中缓存太长时间
初始化：将需要的数据从文件中放到内存中

GET school/_search?scroll=3m
{"query": {"match_all": {}},"size": 3
}
scroll=3m ： 将查询的结果在内存中缓存3分钟

分页查询：从内存中查询，指定缓存的id

GET /_search/scroll
{"scroll" : "1m","scroll_id" : "DnF1ZXJ5VGhlbkZldGNoBQAAAAAAAAOOFjE2Z2ZVZ1B1Um9TMjhmeE1WVHI5S1EAAAAAAAADhhZsS2w3bUk0YlJDT3o4eGlJRjlkN3B3AAAAAAAAA48WMTZnZlVnUHVSb1MyOGZ4TVZUcjlLUQAAAAAAAAORFjE2Z2ZVZ1B1Um9TMjhmeE1WVHI5S1EAAAAAAAADkBYxNmdmVWdQdVJvUzI4ZnhNVlRyOUtR"
}

不建议处理特别大的数据量，建议通过范围来控制页面的数据，做数据过滤

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es--Restful API查询

Restful API查询

准备测试数据

1、match_all

2、match

3、bool

4、term

5、range

6、exists

7、filter

8、浅分页

9、深分页

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