mongodb 查询条件
这节来说说mongodb条件操作符,"$lt", "$lte", "$gt", "$gte", "$ne"就是全部的比较操作符,对应于"<", "<=", ">", ">=","!="。
原子操作符:"$and“, "$or“, "$nor“。
or查询有两种方式:一种是用$in来查询一个键的多个值,另一种是用$or来完成多个键值的任意给定值。$in相当于SQL语句的in操作。
$nin不属于。
$not与正则表达式联合使用时候极其有用,用来查询哪些与特定模式不匹配的文档。
$slice相当于数组函数的切片,检索一个数组文档并获取数组的一部分。限制集合中大量元素节省带宽。理论上可以通过 limit() 和 skip() 函数来实现,但是,对于数组就无能为力了。 $slice可以指定两个参数。第一个参数表示要返回的元素总数。第二个参数是可选的。如果使用的话,第一个参数定义的是偏移量,而第二个参数是限定的个数。第二个参数还可以指定一个负数。
$mod取摸操作。
$size操作符允许对结果进行筛选,匹配指定的元素数的数组。
$exists操作符允许返回一个特定的对象。注意:当前版本$exists是无法使用索引的,因此,使用它需要全表扫描。
$type操作符允许基于BSON类型来匹配结果。
1. 插入一些数据
|
1
2
3
4
5
|
> use ttlsa_com
switched to db ttlsa_com
> db.mediaCollection.insert({ "Type" : "DVD", "Title" : "Matrix, The", "Released" : 1999, "Cast" : ["Keanu Reeves","Carry-Anne Moss","Laurence Fishburne","Hugo Weaving","Gloria Foster","Joe Pantoliano"] })
> db.mediaCollection.insert({ "Type" : "DVD", Title : "Blade Runner", Released : 1982 })
> db.mediaCollection.insert({ "Type" : "DVD", Title : "Toy Story 3", Released : 2010 })
|
2. $gt (greater than)
|
1
2
3
4
5
6
7
8
9
|
> db.mediaCollection.find({ Released : {$gt : 2000} }, { "Cast" : 0 }).toArray()
[
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
3. $gte(greater than or equal to)
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
|
> db.mediaCollection.find( { Released : {$gte : 1999 } }, { "Cast" : 0 } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
4. $lt (less than)
|
1
2
3
4
5
6
7
8
9
|
> db.mediaCollection.find( { Released : {$lt : 1999 } }, { "Cast" : 0 } ).toArray()
[
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
}
]
|
5. $lte (less than or equal to)
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
|
> db.mediaCollection.find( {Released : {$lte: 1999}}, { "Cast" : 0 } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999
},
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
}
]
|
6. 组合使用
|
1
2
3
4
5
6
7
8
9
|
> db.mediaCollection.find( {Released : {$gte: 1990, $lt : 2010}}, { "Cast" : 0 } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999
}
]
|
7. $ne (not equals)
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
|
> db.mediaCollection.find( { Type : "DVD"} ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
},
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
> db.mediaCollection.find( { Type : "DVD", Released : { $ne: 1999}} ).toArray()
[
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
8. $in/$or
|
1
2
3
4
5
6
7
8
9
|
> db.mediaCollection.find( {Released : {$in : [1999,2008,2009] } }, { "Cast" : 0 } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999
}
]
|
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
|
> db.mediaCollection.find( {$or : [ {Released:1999}, {Released:2008}, {Released:2009} ] } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
}
]
|
9. $nin
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
|
> db.mediaCollection.find( {Type : "DVD" }, { "Cast" : 0 }).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999
},
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
> db.mediaCollection.find( {Released : {$nin : [1999,2008,2009] },Type : "DVD" }, { "Cast" : 0 }).toArray()
[
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
10. $all
与$in有点相似,只不过$all是所有属性要与文档匹配。$in只匹配其一就行。
|
1
2
|
> db.mediaCollection.find( { Released : {$all : ["2010","2009"] } }, { "Cast" : 0 } ).toArray()
[ ]
|
11. 多个表达式
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
> db.mediaCollection.find({ $or : [ { "Title" : "Toy Story 3" }, { "ISBN" : "987-1-4302-3051-9" } ] } ).toArray()
[
{
"_id" : ObjectId("5353462f93efef02c962da71"),
"Type" : "Book",
"Title" : "Definitive Guide to MongoDB, the",
"ISBN" : "987-1-4302-3051-9",
"Publisher" : "Apress",
"Author" : [
"Membrey, Peter",
"Plugge, Eelco",
"Hawkins, Tim"
]
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
|
1
2
3
4
5
6
7
8
9
|
> db.mediaCollection.find({ "Type" : "DVD", $or : [ { "Title" : "Toy Story 3" }, { "ISBN" : "987-1-4302-3051-9" } ] }).toArray()
[
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
11. 切片
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
|
> db.mediaCollection.find({"Title" : "Matrix, The"}).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
}
]
> db.mediaCollection.find({"Title" : "Matrix, The"}, {"Cast" : {$slice: 3}}).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne"
]
}
]
> db.mediaCollection.find({"Title" : "Matrix, The"}, {"Cast" : {$slice: -3}}).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
}
]
> db.mediaCollection.find({"Title" : "Matrix, The"}, {"Cast" : {$slice: [2,3] }}).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster"
]
}
]
> db.mediaCollection.find({"Title" : "Matrix, The"}, {"Cast" : {$slice: [-5,4] }}).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster"
]
}
]
|
12. $mod
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
> db.mediaCollection.find( { Type : "DVD", Released : { $mod: [2,0] } } ).toArray()
[
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
> db.mediaCollection.find( { Type : "DVD", Released : { $mod: [2,1] } } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
}
]
|
13. $size
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
|
> db.mediaCollection.find( { Tracklist : {$size : 2} } ).toArray()
[
{
"_id" : ObjectId("5353463193efef02c962da73"),
"Type" : "CD",
"Artist" : "Nirvana",
"Title" : "Nevermind",
"Tracklist" : [
{
"Track" : "1",
"Title" : "Smells like teen spirit",
"Length" : "5:02"
},
{
"Track" : "2",
"Title" : "In Bloom",
"Length" : "4:15"
}
]
}
]
> db.mediaCollection.find( { Cast : {$size : 1} } ).toArray()
[ ]
> db.mediaCollection.find( { Cast : {$size : 6} } ).toArray()
[
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
}
]
|
14. $exists
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
|
> db.mediaCollection.find( { Author : {$exists : true } } ).toArray()
[
{
"_id" : ObjectId("5353462f93efef02c962da71"),
"Type" : "Book",
"Title" : "Definitive Guide to MongoDB, the",
"ISBN" : "987-1-4302-3051-9",
"Publisher" : "Apress",
"Author" : [
"Membrey, Peter",
"Plugge, Eelco",
"Hawkins, Tim"
]
}
]
> db.mediaCollection.find( { Author : {$exists : false } } ).toArray()
[
{
"_id" : ObjectId("5353462f93efef02c962da72"),
"Type" : "CD",
"Artist" : "Nirvana",
"Title" : "Nevermind"
},
{
"_id" : ObjectId("5353463193efef02c962da73"),
"Type" : "CD",
"Artist" : "Nirvana",
"Title" : "Nevermind",
"Tracklist" : [
{
"Track" : "1",
"Title" : "Smells like teen spirit",
"Length" : "5:02"
},
{
"Track" : "2",
"Title" : "In Bloom",
"Length" : "4:15"
}
]
},
{
"_id" : ObjectId("53548225d85b463e729a2e57"),
"Type" : "DVD",
"Title" : "Matrix, The",
"Released" : 1999,
"Cast" : [
"Keanu Reeves",
"Carry-Anne Moss",
"Laurence Fishburne",
"Hugo Weaving",
"Gloria Foster",
"Joe Pantoliano"
]
},
{
"_id" : ObjectId("5354823fd85b463e729a2e58"),
"Type" : "DVD",
"Title" : "Blade Runner",
"Released" : 1982
},
{
"_id" : ObjectId("53548254d85b463e729a2e59"),
"Type" : "DVD",
"Title" : "Toy Story 3",
"Released" : 2010
}
]
|
15. $type
根据BSON类型来检索集合中匹配的结果。
MongoDB中可以使用的类型如下表所示:
| 类型描述 | 类型值 |
|---|---|
| Double | 1 |
| String | 2 |
| Object | 3 |
| Array | 4 |
| Binary data | 5 |
| Object id | 7 |
| Boolean | 8 |
| Date | 9 |
| Null | 10 |
| Regular expression | 11 |
| JavaScript code | 13 |
| Symbol | 14 |
| JavaScript code with scope | 15 |
| 32-bit integer | 16 |
| Timestamp | 17 |
| 64-bit integer | 18 |
| Min key | 255 |
| Max key | 127 |
下面这个实例是查询嵌入对象。
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
> db.mediaCollection.find ( { Tracklist: { $type : 3 } } ).toArray()
[
{
"_id" : ObjectId("5353463193efef02c962da73"),
"Type" : "CD",
"Artist" : "Nirvana",
"Title" : "Nevermind",
"Tracklist" : [
{
"Track" : "1",
"Title" : "Smells like teen spirit",
"Length" : "5:02"
},
{
"Track" : "2",
"Title" : "In Bloom",
"Length" : "4:15"
}
]
}
]
|
mongodb 查询条件的更多相关文章
- [转]mongodb 查询条件:关系运算符"$lt", "$lte", "$gt", "$gte", "$ne" 逻辑运算符"$and“, "$or“, "$nor“
mongodb 查询条件 这节来说说mongodb条件操作符,"$lt", "$lte", "$gt", "$gte" ...
- 深入理解mongodb查询条件语句
阅读目录 1. 理解:"$lt"."$lte"."$gt" 和 "$gte" 2. 理解 '$ne' 3. 理解 &qu ...
- MongoDB查询条件常用设置
原文地址:http://blog.csdn.net/mcpang/article/details/8731065 Java操作mongodb进行查询,常用筛选条件的设置如下: 条件列表: BasicD ...
- java 操作mongodb查询条件的常用设置
java操作mongodb进行查询,常用筛选条件的设置如下: 条件列表:BasicDBList condList = new BasicDBList(); 临时条件对象:BasicDBObject c ...
- MongoDB查询内嵌数组(限定返回符合条件的数组中的数据)(1)
https://blog.csdn.net/bicheng4769/article/details/79579830 项目背景 最近在项目中使用mongdb来保存压测结果中的监控数据,那么在获取监控数 ...
- 【Mongodb教程 第十九课 】PHP与MONGODB的条件查询
与普通的关系型数据库类似,在对数据的删.改.查的时候,会用到查询条件,如mysql中的 where… 而MongoDB中,经过php来做的所有的操作指令都是用array来包裹的: MongoColle ...
- mongodb复杂条件查询 (or与and)
分类专栏: mongodb 版权声明:本文为博主原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接和本声明. 本文链接:https://blog.csdn.net/tjbsl/ ...
- mongodb多条件分页查询的三种方法(转)
一.使用limit和skip进行分页查询 public List<User> pageList(int pageNum ,int pageSize){ List<User> u ...
- MongoDB的批量查询条件进行批量更新数据
今天遇到这样一个场景:在Java中批量更新MongoDB数据,不过每次更新的条件有不一样,那如何有效地进行更新操作呢? 刚开始的时候,我是想到循环批量更新操作,即每一种查询条件进行一次批量更新过程,这 ...
随机推荐
- JVM内存占用情况深入分析
内存分布 首先,列举一下一个JVM进程主要占用内存的一些地方: Young Old metaspace java thread count * Xss other thread count * sta ...
- 任性不用for
先看最基础的技巧 示例一: function assign(value) { if (value) { return value; } else { return 0; } } console.log ...
- ApacheOFBiz的相关介绍以及使用总结(一)
由于最近一段时间在给一个创业的公司做客户关系管理CRM系统,限于人力要求(其实是没有多少人力),只能看能否有稳定,开源的半成品进行改造,而且最好不需要前端(js)相关开发人员的支援就可以把事情做成,经 ...
- 5月17日上课笔记-js面向对象
二.js面向对象 js创建对象: var 对象名称 = new Object(); person.name = "小明"; //姓名 person.age = 18; person ...
- 在使用Ajax请求返回json数据的时候IE浏览器弹出下载保存对话框的解决方法
在使用Ajax请求返回json数据的时候IE浏览器弹出下载保存对话框的解决方法 最近在做一个小东西,使用kindeditor上传图片的时候,自己写了一个上传的方法,按照协议规则通过ajax返回json ...
- SVN revert命令的使用
evert命令顾名思义就是对修改过的东西进行回滚操作.一般有2种情况发生时需要用到回滚的操作: 1,修改过的东西没有递交(commit) 这种情况下revert会取消之前的修改 用法:#svn rev ...
- Mellanox infinoband RDMA SDP
IPoIB Internet Protocol over InfiniBand 就是指利用物理IB网络(IB卡,线缆,交换机,更甚者IB3层交换)通过ip协议进行连接,并进行数据传输! SDP Soc ...
- Python操作中缓存Redis
Redis redis是一个key-value存储系统.和Memcached类似,它支持存储的value类型相对更多,包括string(字符串).list(链表).set(集合).zset(sorte ...
- react之本地图片引用
react之本地图片引用 <img src="../images/photo.png"/> 这种写法在react中是不支持的,所以引用本地图片需要用import或者re ...
- maven-resources-plugin使用
命令行中带参数指定${}变量值 <build> <resources> <resource> <directory>src/main/resources ...