• MONGODB 与sql聚合操作对应图


     

    MongoDB 高级查询条件操作符  

    2012-04-25 15:35:19|  分类: MongoDB |  标签:mongodb使用  mongodb查询  |举报|字号 订阅

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    MongoDB 支持多种复杂的查询方式,能实现大多数 T-SQL 功能,远不是 Key-Value 之类的 NoSQL DB 所能比拟的。
    Conditional Operators : $slice //切片
    Conditional Operators : $lt <, $lte <=, $gt >, $gte >=
    Conditional Operator : $ne //不等于
    Conditional Operator : $in //属于
    Conditional Operator : $nin //不属于
    Conditional Operator : $mod //取模运算
    Conditional Operator:   $all  //全部属于
    Conditional Operator : $size //数量
    Conditional Operator: $exists //字段存在
    Conditional Operator: $type //字段类型
    Conditional Operator: $or // 或
    Regular Expressions //正则表达式
    Value in an Array // 数组中的值
    Conditional Operator: $elemMatch //要素符合
    Value in an Embedded Object //内嵌对象中的值
    Meta operator: $not //不是
    Javascript Expressions and $where //
    sort() //排序
    limit() //限制取数据条数
    skip() //跳过一定数值开始取
    snapshot() //
    count() // 数量
    group() //分组

    准备数据

    In [9]: db
    Out[9]: Database(Connection('localhost', 27017), u'test')
    In [10]: table = db.table_abeen
    In [11]: table
    Out[11]: Collection(Database(Connection('localhost', 27017), u'test'), u'table_abeen')

    In [12]: table.insert({"name":"abeen", "age":27})
    Sun Aug 8 23:14:20 connection accepted from 127.0.0.1:46143 #27
    Out[12]: ObjectId('4c5f9cbc421aa90fb9000000')

    In [14]: table.insert({"name":"shanshan", "age":22})
    Out[14]: ObjectId('4c5f9ccb421aa90fb9000001')

    Conditional Operator: $ne (not equal)

    //查找name不等于abeen的信息
    In [24]: list(table.find({"name":{"$ne":"abeen"}}))
    Out[24]:
    [{u'_id': ObjectId('4c5f9ccb421aa90fb9000001'),
    u'age': 22,
    u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'),
    u'age': 22,
    u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'}]

    Conditional Operator: $gt $lt(gt= greater than, lt=less than)

    //查找name不等于abeen,并且age大于22的
    In [29]: list(table.find({"name": {"$ne": "abeen"}, "age":{"$gt": 22}}))
    Out[29]:
    [{u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'}]

    获取子集 $ne  $slice 

    //select "age" from table where name = "abeen"
    In [42]: list(table.find({"name": "abeen"}, {"age" : 1}))
    Out[42]: [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27}]

    //get all posts about mongodb without "age"
    In [43]: list(table.find({"name": "abeen"}, {"age" : 0}))
    Out[43]: [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'name': u'abeen'}]

    //name不等于abeen的"age"信息,取前5条
    In [48]: list(table.find({"name": {"$ne":"abeen"}}, {"age":{"$slice":5}}))
    //取name信息,从第10条开始取20条
    In [54]: list(table.find({}, {"name": {"$slice": [10,20]}}))
    //取name信息,从后20条开始取10条
    In [55]: list(table.find({}, {"name": {"$slice": [-20,10]}}))

    取数值范围

    //age大于23的
    In [56]: list(table.find({"age":{"$gt":23}}))
    Out[56]: [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'}]

    //age小于23的
    In [57]: list(table.find({"age":{"$lt":23}}))
    Out[57]:
    [{u'_id': ObjectId('4c5f9ccb421aa90fb9000001'),
    u'age': 22,
    u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'),
    u'age': 22,
    u'name': u'shanshan2'}]

    //age大于等于23的
    In [58]: list(table.find({"age":{"$gte":23}}))
    Out[58]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'),
    u'address': u'da zhong si',
    u'age': 23,
    u'name': u'shanshan3'}]

    //age小于等于23的
    In [59]: list(table.find({"age":{"$lte":23}}))
    Out[59]:
    [{u'_id': ObjectId('4c5f9ccb421aa90fb9000001'),
    u'age': 22,
    u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'),
    u'age': 22,
    u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'),
    u'address': u'da zhong si',
    u'age': 23,
    u'name': u'shanshan3'}]

    Conditional Operator: $gt

    //22 < age < 25的
    In [63]: list(table.find({"age": {"$gt":22, "$lt":25}}))
    Out[63]:
    [{u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'),
    u'address': u'da zhong si',
    u'age': 23,
    u'name': u'shanshan3'}]

    Conditional Operator : $in

    //name在列表["abeen","ab","b"]里面的
    In [67]: list(table.find({"name":{"$in":["abeen","ab","b"]}}))
    Out[67]: [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'}]

    //name在列表["abeen","ab","b"]里面的,限制取1条数据
    In [69]: list(table.find({"name":{"$in":["abeen","ab","b","shanshan"]}}).limit(1))
    Out[69]: [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'}]

    Conditional Operator : $nin (not in)

    //name不在列表["abeen","ab","b"]里面的
    In [70]: list(table.find({"name":{"$nin":["abeen","ab","b"]}}))
    Out[70]:
    [{u'_id': ObjectId('4c5f9ccb421aa90fb9000001'),
    u'age': 22,
    u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'),
    u'age': 22,
    u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'),
    u'address': u'da zhong si',
    u'age': 23,
    u'name': u'shanshan3'}]

    Conditional Operator: $mod

    // 查找age除10模等于1的
    In [71]: list(table.find({"age":{"$mod":[10,1]}}))

    Conditional Operator: $all


    //取name包含所有["abeen","a","b"]的信息
    In [77]: list(table.find({"name":{"$all":["abeen","a","b"]}}))
    Out[77]:
    [{u'_id': ObjectId('4c5facc6421aa90fb9000005'),
    u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']}]

    Conditional Operator: $size


    //取name元素数和$size数相同的信息
    In [81]: list(table.find({"name":{"$size": 6}}))
    Out[81]:
    [{u'_id': ObjectId('4c5facc6421aa90fb9000005'),
    u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']}]

    Conditional Operator: $exists

    //取name存在的信息
    In [83]: list(table.find({"name":{"$exists": True}}))
    Out[83]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'},
    {u'_id': ObjectId('4c5f9ccb421aa90fb9000001'),
    u'age': 22,
    u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'),
    u'age': 22,
    u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'),
    u'address': u'da zhong si',
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5facc6421aa90fb9000005'),
    u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']}]
    //取name不存在信息
    In [84]: list(table.find({"name":{"$exists": False}}))
    Out[84]: []

    Conditional Operator: $type

    //name类型为字符串的
    In [88]: list(table.find({"name":{"$type": 2}}))

    type对应该类型表如下:
    MongoDB 高级查询条件操作符 - wm - wmblog的博客
    Conditional Operator: $or

    //查找name等于abeen或等于shanshan的信息
    In [95]: list(table.find({"$or" :[{"name": "abeen"}, {"name":"shanshan"}]}))
    Out[95]: []

    //查找age等于22,或name等于abeen或等于shanshan的信息
    In [96]: list(table.find({"age":22, "$or" :[{"name": "abeen"}, {"name":"shanshan"}]}))
    Out[96]: []

    Regular Expressions

    //利用正则查询
    In [114]: list(table.find({"name": {"$regex": r".*ee.*"}}))
    Out[114]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'},
    {u'_id': ObjectId('4c5facc6421aa90fb9000005'),
    u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']}]
    正则表达式标记:
    i: 忽略大小写。
    m: 默认为单行处理,此标记表示多行。
    x: 扩展。

    Conditional Operator: $elemMatch

    In [135]: list(table.find( { "age" : {"$elemMatch": {"name": {"$regex": r".*ee.*"},"age":{"$gt":22}}}}))

    Value in an Embedded Object

    //查找内部对象信息,
    //查找内部对象info的name等于abeen的信息
    In [217]: list(table.find({"info.name": "abeen"}))
    Out[217]:
    [{u'_id': ObjectId('4c5fcd7e421aa90fb9000007'),
    u'info': {u'address': u'beijing', u'age': 28, u'name': u'abeen'},
    u'name': u'abeen_object'}]

    Meta operator: $not

    //查询age不在大于23的范围内的信息
    In [160]: list(table.find({"age": {"$not":{"$gt": 23}}}))
    Out[160]:
    [{u'_id': ObjectId('4c5f9ccb421aa90fb9000001'),
    u'age': 22,
    u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'),
    u'age': 22,
    u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'),
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'),
    u'address': u'da zhong si',
    u'age': 23,
    u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5facc6421aa90fb9000005'),
    u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']}]

    Javascript Expressions and $where

    //age大于23的
    In [164]: list(table.find({"age": {"$gt":23}}))
    Out[164]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'},
    {u'_id': ObjectId('4c5fae95421aa90fb9000006'), u'age': 25, u'name': u''}]
    //age大于23的
    In [165]: list(table.find({"$where": "this.age > 23"}))
    Out[165]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'},
    {u'_id': ObjectId('4c5fae95421aa90fb9000006'), u'age': 25, u'name': u''}]

    //skip()  limit()

    In [204]: result = table.find().skip(2).limit(3)

    In [205]: for r in result : print r
    {u'age': 22, u'_id': ObjectId('4c5f9d2d421aa90fb9000002'), u'name': u'shanshan2'}
    {u'age': 23, u'_id': ObjectId('4c5f9d34421aa90fb9000003'), u'name': u'shanshan3'}
    {u'age': 23, u'_id': ObjectId('4c5fa2ab421aa90fb9000004'), u'name': u'shanshan3',

    u'address': u'da zhong si'}

    Mongo Query Language 类似 Sql 语句

    $query - 查询类似于sql中的 where
    $orderby - 排序{x:1},1为升序 -1为降序

    $query - 查询类似于sql中的 where
    $orderby - 排序{x:1},1为升序 -1为降序

    //select * from table where name="abeen" order by age asc
    In [28]: list(table.find({"$query" : {"name": "abeen"}, "$orderby": { "age": 1 }}))

    //select * from table where name="abeen" order by age desc
    In [29]: list(table.find({"$query" : {"name": "abeen"}, "$orderby": { "age": -1 }}))

    //select name, address from table where name like '%a%'
    按找指定字段按条件,并可指定排序 1:返回字段,0不返回字段

    In [21]: list(t.find({"name":{"$regex": r".*a.*"}},{"name":1, "address":1}))
    Out[23]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'name': u'abeen'},
    {u'_id': ObjectId('4c5f9ccb421aa90fb9000001'), u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'), u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'), u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'), u'address': u'da zhong si', u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5facc6421aa90fb9000005'), u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']},
    {u'_id': ObjectId('4c5fcd7e421aa90fb9000007'), u'name': u'abeen_object'},
    {u'_id': ObjectId('4c64b432421aa90697000000'), u'address': u'shandong', u'name': u'abeen'},
    {u'_id': ObjectId('4c64b438421aa90697000001'), u'address': u'shandong', u'name': u'abeen'},
    {u'_id': ObjectId('4c64b43d421aa90697000002'), u'address': u'shandong', u'name': u'abeen'},
    {u'_id': ObjectId('4c64b441421aa90697000003'), u'address': u'shandong', u'name': u'abeen'}]

    0为不返回字段

    In [24]: list(t.find({"name":{"$regex": r".*a.*"}},{"address":0}))
    Out[24]:
    [{u'_id': ObjectId('4c5f9cbc421aa90fb9000000'), u'age': 27, u'name': u'abeen'},
    {u'_id': ObjectId('4c5f9ccb421aa90fb9000001'), u'age': 22, u'name': u'shanshan'},
    {u'_id': ObjectId('4c5f9d2d421aa90fb9000002'), u'age': 22, u'name': u'shanshan2'},
    {u'_id': ObjectId('4c5f9d34421aa90fb9000003'), u'age': 23, u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5fa2ab421aa90fb9000004'), u'age': 23, u'name': u'shanshan3'},
    {u'_id': ObjectId('4c5facc6421aa90fb9000005'), u'name': [u'abeen', u'a', u'b', u'e', u'e', u'n']},
    {u'_id': ObjectId('4c5fcd7e421aa90fb9000007'), u'name': u'abeen_object'},
    {u'_id': ObjectId('4c64b432421aa90697000000'), u'age': 22, u'name': u'abeen'},
    {u'_id': ObjectId('4c64b438421aa90697000001'), u'age': 23, u'name': u'abeen'},
    {u'_id': ObjectId('4c64b43d421aa90697000002'), u'age': 24, u'name': u'abeen'},
    {u'_id': ObjectId('4c64b441421aa90697000003'), u'age': 18, u'name': u'abeen'}]

    标签: MONGODB
     分类:


    SQL Terms, Functions, and Concepts

                                          MongoDB Aggregation Operators

    WHERE

                                   $match

    GROUP BY

                                   $group

    HAVING

                                   $match

    SELECT

                                   $project

    ORDER BY

                                    $sort

    LIMIT

                                    $limit

    SUM()

                                     $sum

    COUNT()

                                     $sum

    join

    No direct corresponding operator; however, the $unwindoperator allows for somewhat similar functionality, but with fields embedded within the document.

    实例:
    [td]

    SQL Example

    MongoDB Example

    Description

    SELECT COUNT(*) AS countFROM orders

    db.orders.aggregate( [   { $group: { _id: null,               count: { $sum: 1 } } }] )

    Count all records fromorders

    SELECT SUM(price) AS totalFROM orders

    db.orders.aggregate( [   { $group: { _id: null,               total: { $sum: "$price" } } }] )

    Sum theprice field from orders,这个非常有用,看官方说明,说_ID是必须,但没想到可以为NULL,

    SELECT cust_id,       SUM(price) AStotalFROM ordersGROUP BY cust_id

    db.orders.aggregate( [   { $group: { _id: "$cust_id",               total: { $sum: "$price" } } }] )

    For each uniquecust_id, sum the pricefield.

    SELECT cust_id,       SUM(price) AStotalFROM ordersGROUP BYcust_idORDER BY total

    db.orders.aggregate( [   { $group: { _id: "$cust_id",               total: { $sum: "$price" } } },   { $sort: { total: 1 } }] )

    For each uniquecust_id, sum the pricefield, results sorted by sum.

    SELECT cust_id,       ord_date,      SUM(price) AS totalFROM ordersGROUPBY cust_id, ord_date

    db.orders.aggregate( [   { $group: { _id: { cust_id: "$cust_id",                      ord_date: "$ord_date" },               total: { $sum: "$price" } } }] )

    For each uniquecust_id,ord_dategrouping, sum the pricefield.

    SELECT cust_id, count(*)FROMordersGROUP BY cust_idHAVING count(*)> 1

    db.orders.aggregate( [   { $group: { _id: "$cust_id",               count: { $sum: 1 } } },   { $match: { count: { $gt: 1 } } }] )

    For cust_idwith multiple records, return thecust_id and the corresponding record count.

    SELECT cust_id,       ord_date,      SUM(price) AS totalFROM ordersGROUPBY cust_id, ord_dateHAVING total > 250

    db.orders.aggregate( [   { $group: { _id: { cust_id: "$cust_id",                      ord_date: "$ord_date" },               total: { $sum: "$price" } } },   { $match: { total: { $gt: 250 } } }] )

    For each uniquecust_id,ord_dategrouping, sum the pricefield and return only where the sum is greater than 250.

    SELECT cust_id,       SUM(price) astotalFROM ordersWHERE status ='A'GROUP BY cust_id

    db.orders.aggregate( [   { $match: { status: 'A' } },   { $group: { _id: "$cust_id",               total: { $sum: "$price" } } }] )

    For each uniquecust_id with status A, sum the pricefield.

    SELECT cust_id,       SUM(price) astotalFROM ordersWHERE status ='A'GROUP BY cust_idHAVING total > 250

    db.orders.aggregate( [   { $match: { status: 'A' } },   { $group: { _id: "$cust_id",               total: { $sum: "$price" } } },   { $match: { total: { $gt: 250 } } }] )

    For each uniquecust_id with status A, sum the pricefield and return only where the sum is greater than 250.

    SELECT cust_id,       SUM(li.qty) asqtyFROM orders o,     order_lineitem liWHERE li.order_id = o.idGROUP BYcust_id

    db.orders.aggregate( [   { $unwind: "$items" },   { $group: { _id: "$cust_id",               qty: { $sum: "$items.qty" } } }] )

    For each uniquecust_id, sum the corresponding line item qtyfields associated with the orders.

    SELECT COUNT(*)FROM (SELECTcust_id, ord_date      FROM orders      GROUP BY cust_id, ord_date) asDerivedTable

    db.orders.aggregate( [   { $group: { _id: { cust_id: "$cust_id",                      ord_date: "$ord_date" } } },   { $group: { _id: null, count: { $sum: 1 } } }] )

     

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  • 原文地址:https://www.cnblogs.com/jayruan/p/5767291.html
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