MongoDB 简单统计$avg,$sum,$min,$max

1、$avg

计算平均值
基础语法:{ $avg: }
{ $avg: [ , ... ] }
注:
(1)$avg计算的时候会忽略非数值数据(包括缺失值)
(2)在$group中使用时,若expression为数组,$avg会忽略这个expression进行计算
(3)在其他管道符中使用时,对于单个expression,若其为数组,$avg会遍历整个数组进行计算;对于多个expression,若其中含数组,$avg会忽略这个expression

2、$sum

数字求和,
基础语法:{ $sum: }
{ $sum: [ , ... ] }
注:
(1)如果expression包含数值和非数值情况,$sum返回值为全部数值字段的和
(2)如果expression为不存在字段,$sum返回值为0
(3)如果expression全部为非数值情况,$sum返回值为全0
(4)在$group中使用时,若expression为数组,$sum会忽略这个expression进行计算
(5)在其他管道符中使用时,对于单个expression,若其为数组,$sum会遍历整个数组进行计算;对于多个expression,若其中含数组,$sum会忽略这个expression

3、$min

求最小值,
基础语法:{ $min: }
{ $min: [ , ... ] }
注:
(1)$min计算的时null值和空值不参与比较
(2)在$group中使用时,若expression为数组,$min会将expression当成一个整体进行比较
(3)在其他管道符中使用时,对于单个expression,若其为数组,$min会遍历整个数组进行比较;对于多个expression,若其中含数组,$min会忽略这个expression

4、$max

求最大值,
基础语法:{ $max: }
{ $max: [ , ... ] }
注:
(1)$max计算的时null值和空值不参与比较
(2)在$group中使用时,若expression为数组,$max会将expression当成一个整体进行比较
(3)在其他管道符中使用时,对于单个expression,若其为数组,$max会遍历整个数组进行比较;对于多个expression,若其中含数组,$max会忽略这个expression

上述内容可以在一下几个管道符中使用

  • $group
  • $project
  • $addFields (在3.4及以后的版本总可用)
  • $set (在4.2及以后的版本总可用)
  • $replaceRoot (在3.4及以后的版本总可用)
  • $replaceWith (在4.2及以后的版本总可用)
  • $match stage that includes an $expr expression

示例

在管道符$group中的应有

{"_id":1,"item":"a","price":10,"quantity":2, "arry":["1",2,3],  "num":9,   "num1":10  },
{"_id":2,"item":"b","price":20,"quantity":1, "arry":[4,5,6],    "num":10,  "num1":"11"},
{"_id":3,"item":"c","price":5, "quantity":5, "arry":[],         "num":null,"num1":"12"},
{"_id":4,"item":"a","price":10,"quantity":10,"arry":[7,8,""],   "num":11,  "num1":["11","12","13"]},
{"_id":5,"item":"c","price":5, "quantity":10,"arry":["10","11"],"num":12,  "num1":"14"},
{"_id":6,"item":"d","price":15,"quantity":10,"arry":[""],       "num":"13","num1":"15"},
{"_id":7,"item":"d","price":15,"quantity":10,"arry":[12,""],    "num":14              },
{"_id":8,"item":"d","price":15,"quantity":10,"arry":[""],       "num":15,  "num1":["11","9","8"]  }

例一:求均值,求和

db.getCollection("test").aggregate([{
    $group: {
        _id: "$item",
        //求均值
        avg_Amount: { $avg: { $multiply: [ "$price", "$quantity" ] } },//两字段乘积
        avg_quantity: { $avg: "$quantity" },//单字段
        avg_arry: { $avg: "$arry" },//数组
        avg_num: { $avg: "$num" },//涉及null值,字符串值,"item":"c","item":"d"
        avg_num1: { $avg: "$num1" },//涉及数组、字符串、部分字段不存在,"item":"a","item":"d"
        avg_num2: { $avg: "$num2" },//全部不存在值
        //求和
        sum_Amount: { $sum: { $multiply: [ "$price", "$quantity" ] } },//两字段乘积
        sum_quantity: { $sum: "$quantity" },//单字段
        sum_arry: { $sum: "$arry" },//数组
        sum_num: { $sum: "$num" },//涉及null值,字符串值,"item":"c","item":"d"
        sum_num1: { $sum: "$num1" },//涉及数组、字符串、部分字段不存在,"item":"a","item":"d"
        sum_num2: { $sum: "$num2" },//全部不存在值
    }
}])

运行结果

{"_id":"a","avg_Amount":60,"avg_quantity":6,"avg_arry":null,"avg_num":10,"avg_num1":10,"avg_num2":null,
"sum_Amount":120,"sum_quantity":12,"sum_arry":NumberInt("0"),"sum_num":20,"sum_num1":10,"sum_num2":NumberInt("0")},
{"_id":"b","avg_Amount":20,"avg_quantity":1,"avg_arry":null,"avg_num":10,"avg_num1":null,"avg_num2":null,
"sum_Amount":20,"sum_quantity":1,"sum_arry":NumberInt("0"),"sum_num":10,"sum_num1":NumberInt("0"),"sum_num2":NumberInt("0")},
{"_id":"c","avg_Amount":37.5,"avg_quantity":7.5,"avg_arry":null,"avg_num":12,"avg_num1":null,"avg_num2":null,
"sum_Amount":75,"sum_quantity":15,"sum_arry":NumberInt("0"),"sum_num":12,"sum_num1":NumberInt("0"),"sum_num2":NumberInt("0")},
{"_id":"d","avg_Amount":150,"avg_quantity":10,"avg_arry":null,"avg_num":14.5,"avg_num1":null,"avg_num2":null,
"sum_Amount":450,"sum_quantity":30,"sum_arry":NumberInt("0"),"sum_num":29,"sum_num1":NumberInt("0"),"sum_num2":NumberInt("0")}
运行结果

例二:最大值,最小值

db.getCollection("test").aggregate([{
    $group: {
        _id: "$item",
        //最小值
        min_Amount: { $min: { $multiply: [ "$price", "$quantity" ] } },//两字段乘积
        min_quantity: { $min: "$quantity" },//单字段
        min_arry: { $min: "$arry" },//数组
        min_num: { $min: "$num" },//涉及null值,字符串值,"item":"c","item":"d"
        min_num1: { $min: "$num1" },//涉及数组、字符串、部分字段不存在,"item":"a","item":"d"
        min_num2: { $min: "$num2" },
        //最大值
        max_Amount: { $max: { $multiply: [ "$price", "$quantity" ] } },//两字段乘积
        max_quantity: { $max: "$quantity" },//单字段
        max_arry: { $max: "$arry" },//数组
        max_num: { $max: "$num" },//涉及null值,字符串值,"item":"c","item":"d"
        max_num1: { $max: "$num1" },//涉及数组、字符串、部分字段不存在,"item":"a","item":"d"
        max_num2: { $max: "$num2" },//全部不存在值
    }
}])

运行结果

//最小值
{"_id":"a","min_Amount":20, "min_quantity":2, "min_arry":[7,8,""],"min_num":9, "min_num1":10,  "min_num2":null},
{"_id":"b","min_Amount":20, "min_quantity":1, "min_arry":[4,5,6], "min_num":10,"min_num1":"11","min_num2":null},
{"_id":"c","min_Amount":25, "min_quantity":5, "min_arry":[],      "min_num":12,"min_num1":"12","min_num2":null},
{"_id":"d","min_Amount":150,"min_quantity":10,"min_arry":[12,""], "min_num":14,"min_num1":"15","min_num2":null
//最大值
{"_id":"a","max_Amount":100,"max_quantity":10,"max_arry":["1",2,3],  "max_num":11,  "max_num1":["11","12","13"],"max_num2":null},
{"_id":"b","max_Amount":20, "max_quantity":1, "max_arry":[4,5,6],    "max_num":10,  "max_num1":"11",            "max_num2":null},
{"_id":"c","max_Amount":50, "max_quantity":10,"max_arry":["10","11"],"max_num":12,  "max_num1":"14",            "max_num2":null},
{"_id":"d","max_Amount":150,"max_quantity":10,"max_arry":[""],       "max_num":"13","max_num1":["11","9","8"],  "max_num2":null},
运行结果

在管道符$project中的应有

{"_id":1,"arry":["1",2,3],  "num":9,    "num1":10  },
{"_id":2,"arry":[4,5,6],    "num":10,   "num1":"11"},
{"_id":3,"arry":[""],       "num":11,   "num1":null},
{"_id":4,"arry":[7,8,""],   "num":"12"             },
{"_id":5,"arry":["10","11"],"num1":"14","num":null },
{"_id":6,"arry":[],         "num1":"15"            }

例三:求均值,求和

db.getCollection("test").aggregate([{
    $project: {
    //求均值
        avg_num: { $avg: "$num" },//单字段
        avg_arry: { $avg: "$arry" },//数组
        avg_num_arry: { $avg: ["$num" ,"$arry"]},//数字和数组
        avg_num_num1: { $avg: ["$num" ,"$num1"]},//涉及null值(_id:3、5),字符串值(_id:2、4、5、6)
        avg_num_num2: { $avg: ["$num" ,"$num2"] },//涉及字段不存在
    //求和
        sum_num: { $sum: "$num" },//单字段
        sum_arry: { $sum: "$arry" },//数组
        sum_num_arry: { $sum: ["$num" ,"$arry"]},//数字和数组
        sum_num_num1: { $sum: ["$num" ,"$num1"] },//涉及null值(_id:3、5),字符串值(_id:2、4、5、6)
        sum_num_num2: { $sum: ["$num" ,"$num2"] },//涉及字段不存在
    }
}])

运行结果

//求均值
{"_id":1,"avg_num":9,   "avg_arry":2.5, "avg_num_arry":9,   "avg_num_num1":9.5, "avg_num_num2":9},
{"_id":2,"avg_num":10,  "avg_arry":5,   "avg_num_arry":10,  "avg_num_num1":10,  "avg_num_num2":10},
{"_id":3,"avg_num":11,  "avg_arry":null,"avg_num_arry":11,  "avg_num_num1":11,  "avg_num_num2":11},
{"_id":4,"avg_num":null,"avg_arry":7.5, "avg_num_arry":null,"avg_num_num1":null,"avg_num_num2":null},
{"_id":5,"avg_num":null,"avg_arry":null,"avg_num_arry":null,"avg_num_num1":null,"avg_num_num2":null},
{"_id":6,"avg_num":null,"avg_arry":null,"avg_num_arry":null,"avg_num_num1":null,"avg_num_num2":null},
//求和
{"_id":1,"sum_num":9,"sum_arry":5,"sum_num_arry":9,"sum_num_num1":19,"sum_num_num2":9},
{"_id":2,"sum_num":10,"sum_arry":15,"sum_num_arry":10,"sum_num_num1":10,"sum_num_num2":10},
{"_id":3,"sum_num":11,"sum_arry":NumberInt("0"),"sum_num_arry":11,"sum_num_num1":11,"sum_num_num2":11},
{"_id":4,"sum_num":NumberInt("0"),"sum_arry":15,"sum_num_arry":NumberInt("0"),"sum_num_num1":NumberInt("0"),"sum_num_num2":NumberInt("0")},
{"_id":5,"sum_num":NumberInt("0"),"sum_arry":NumberInt("0"),"sum_num_arry":NumberInt("0"),"sum_num_num1":NumberInt("0"),"sum_num_num2":NumberInt("0")},
{"_id":6,"sum_num":NumberInt("0"),"sum_arry":NumberInt("0"),"sum_num_arry":NumberInt("0"),"sum_num_num1":NumberInt("0"),"sum_num_num2":NumberInt("0")},
运行结果

例四:最大值,最小值


db.getCollection("test").aggregate([{
    $project: {
    //最小值
        min_num: { $min: "$num" },//单字段
        min_arry: { $min: "$arry" },//数组
        min_num_arry: { $min: ["$num" ,"$arry"]},//数字和数组
        min_num_num1: { $min: ["$num" ,"$num1"]},//涉及null值(_id:3、5),字符串值(_id:2、4、5、6)
        min_num_num2: { $min: ["$num" ,"$num2"] },//涉及字段不存在
    //最大值
        max_num: { $max: "$num" },//单字段
        max_arry: { $max: "$arry" },//数组
        max_num_arry: { $max: ["$num" ,"$arry"]},//数字和数组
        max_num_num1: { $max: ["$num" ,"$num1"]},//涉及null值(_id:3、5),字符串值(_id:2、4、5、6)
        max_num_num2: { $max: ["$num" ,"$num2"] },//涉及字段不存在
    }
}])

运行结果

//最小值
{"_id":1,"min_num":9,   "min_arry":2,   "min_num_arry":9,          "min_num_num1":9,   "min_num_num2":9},
{"_id":2,"min_num":10,  "min_arry":4,   "min_num_arry":10,         "min_num_num1":10,  "min_num_num2":10},
{"_id":3,"min_num":11,  "min_arry":"",  "min_num_arry":11,         "min_num_num1":11,  "min_num_num2":11},
{"_id":4,"min_num":"12","min_arry":7,   "min_num_arry":"12",       "min_num_num1":"12","min_num_num2":"12"},
{"_id":5,"min_num":null,"min_arry":"10","min_num_arry":["10","11"],"min_num_num1":"14","min_num_num2":null},
{"_id":6,"min_num":null,"min_arry":null,"min_num_arry":[],         "min_num_num1":"15","min_num_num2":null},
//最大值
{"_id":1,"max_num":9,   "max_arry":"1", "max_num_arry":["1",2,3], "max_num_num1":10,   "max_num_num2":9},
{"_id":2,"max_num":10,  "max_arry":6,   "max_num_arry":[4,5,6],    "max_num_num1":"11","max_num_num2":10},
{"_id":3,"max_num":11,  "max_arry":"",  "max_num_arry":[""],       "max_num_num1":11,  "max_num_num2":11},
{"_id":4,"max_num":"12","max_arry":"",  "max_num_arry":[7,8,""],   "max_num_num1":"12","max_num_num2":"12"},
{"_id":5,"max_num":null,"max_arry":"11","max_num_arry":["10","11"],"max_num_num1":"14","max_num_num2":null},
{"_id":6,"max_num":null,"max_arry":null,"max_num_arry":[],         "max_num_num1":"15","max_num_num2":null}
运行结果

你可能感兴趣的:(MongoDB 简单统计$avg,$sum,$min,$max)