带条件group by语句的MongoDB查询 [英] MongoDB query with conditional group by statement

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本文介绍了带条件group by语句的MongoDB查询的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我需要从mongoDB的数据库中导出客户记录.导出的客户记录不应有重复的值. "firstName + lastName + code"是用于删除记录重复数据的键,如果数据库中存在两个具有相同键的记录,那么我需要将源字段的优先级赋予电子邮件以外的其他值.

I need to export customer records from database of mongoDB. Exported customer records should not have duplicated values. "firstName+lastName+code" is the key to DE-duped the record and If there are two records present in database with same key then I need to give preference to source field with value other than email.

客户(id,firstName,lastName,code,source)集合是这个.

如果有3条记录具有相同的唯一键和3个不同的来源,那么我只需要在2个来源(电视,互联网)之间选择一个记录{或者如果有n个来源,我只需要一个记录}就不带有电子邮件"(因为只有一个具有唯一键的记录存在且源是电子邮件时,才会选择电子邮件) 使用以下查询:

If there are record 3 records with same unique key and 3 different sources then i need to choose only one record between 2 sources(TV,internet){or if there are n number of sources i need the one record only}not with the 'email'(as email will be choosen when only one record is present with the unique key and source is email) query using:

`db.customer.aggregate([
 { "$match" : { "active" : true , "dealerCode" : { "$in" : [ "111391"]} , "source" : { "$in" : [ "email","TV","internet"]}}},
   {$group:{"_id":{
                  "firstName":"$personalInfo.firstName",
                  "lastName":"$personalInfo.lastName",
                  "code":"$vehicle.code"},              
        "source":{
                   $addToSet:{"source":"$source"}
                 }
        }
    },
    {$redact: 
        {$cond:[{$eq:[{$ifNull:["$source","other"]},"email"]},"$$PRUNE","$$DESCEND"]}
    },
   {$project:
        {"source":
            {$map:
                  {"input":
                       {$cond:[
                         {$eq:[{$size:"$source"},0]},[{"source":"email"}],"$source"]
                        },"as":"inp","in":"$$inp.source"}
            },
            "record":{"_id":1}
        }
    } ])`

样本输出: { "_id" : { "firstName" : "sGI6YaJ36WRfI4xuJQzI7A==", "lastName" : "99eQ7i+uTOqO8X+IPW+NOA==", "code" : "1GTHK23688F113955" }, "source" : [ "internet" ] } { "_id" : { "firstName" : "WYDROTF/9vs9O7XhdIKd5Q==", "lastName" : "BM18Uq/ltcbdx0UJOXh7Sw==", "code" : "1G4GE5GV5AF180133" }, "source" : [ "internet" ] } { "_id" : { "firstName" : "id+U2gYNHQaNQRWXpe34MA==", "lastName" : "AIs1G33QnH9RB0nupJEvjw==", "code" : "1G4GE5EV0AF177966" }, "source" : [ "internet" ] } { "_id" : { "firstName" : "qhreJVuUA5l8lnBPVhMAdw==", "lastName" : "petb0Qx3YPfebSioY0wL9w==", "code" : "1G1AL55F277253143" }, "source" : [ "TV" ] } { "_id" : { "firstName" : "qhreJVuUA5l8lnBPVhMAdw==", "lastName" : "6LB/NmhbfqTagbOnHFGoog==", "code" : "1GCVKREC0EZ168134" }, "source" : [ "TV", "internet" ] }

sample output: { "_id" : { "firstName" : "sGI6YaJ36WRfI4xuJQzI7A==", "lastName" : "99eQ7i+uTOqO8X+IPW+NOA==", "code" : "1GTHK23688F113955" }, "source" : [ "internet" ] } { "_id" : { "firstName" : "WYDROTF/9vs9O7XhdIKd5Q==", "lastName" : "BM18Uq/ltcbdx0UJOXh7Sw==", "code" : "1G4GE5GV5AF180133" }, "source" : [ "internet" ] } { "_id" : { "firstName" : "id+U2gYNHQaNQRWXpe34MA==", "lastName" : "AIs1G33QnH9RB0nupJEvjw==", "code" : "1G4GE5EV0AF177966" }, "source" : [ "internet" ] } { "_id" : { "firstName" : "qhreJVuUA5l8lnBPVhMAdw==", "lastName" : "petb0Qx3YPfebSioY0wL9w==", "code" : "1G1AL55F277253143" }, "source" : [ "TV" ] } { "_id" : { "firstName" : "qhreJVuUA5l8lnBPVhMAdw==", "lastName" : "6LB/NmhbfqTagbOnHFGoog==", "code" : "1GCVKREC0EZ168134" }, "source" : [ "TV", "internet" ] }

此查询有问题,请提出:(

This is a problem with this query please suggest :(

推荐答案

您的代码不起作用,因为这些累加器运算符可用于$group阶段.

Your code doesn't work, because $cond is not an accumulator operator. Only these accumulator operators, can be used in a $group stage.

假设您的记录中所包含的source值不超过两个,您可以添加条件$project阶段并将$group阶段修改为

Assuming your records contain not more than two possible values of source as you mention in your question, you could add a conditional $project stage and modify the $group stage as,

代码:

db.customer.aggregate([
{$group:{"_id":{"id":"$id",
                "firstName":"$firstName",
                "lastName":"$lastName",
                "code":"$code"},
         "sourceA":{$first:"$source"},
         "sourceB":{$last:"$source"}}},
{$project:{"source":{$cond:[{$eq:["$sourceA","email"]},
                            "$sourceB",
                            "$sourceA"]}}}
])

如果source可能有两个以上的值,则可以执行以下操作:

In case there can be more that two possible values for source, then you could do the following:

    firstNamelastNamecode中的
  • Group.积累 source的唯一值,使用 $ addToSet 运算符.
  • 使用 $ redact 仅保留email以外的其他值.
  • Project必填字段,如果source数组为空(所有元素均已删除),请添加一个 值email.
  • Unwind源字段,将其列出为字段而不是数组. (可选)
  • Group by the id, firstName, lastName and code. Accumulate the unique values of source, using the $addToSet operator.
  • Use $redact to keep only the values other than email.
  • Project the required fields, if the source array is empty(all the elements have been removed), add a value email to it.
  • Unwind the source field to list it as a field and not an array. (optional)

代码:

db.customer.aggregate([
{$group:{"_id":{"id":"$id",
                "firstName":"$firstName",
                "lastName":"$lastName",
                "code":"$code"},
         "sourceArr":{$addToSet:{"source":"$source"}}}},
{$redact:{$cond:[{$eq:[{$ifNull:["$source","other"]},"email"]},
          "$$PRUNE",
          "$$DESCEND"]}},
{$project:{"source":{$map:{"input":
                           {$cond:[{$eq:[{$size:"$sourceArr"},
                                         0]},
                                   [{"source":"item"}],
                                   "$sourceArr"]},
                           "as":"inp",
                           "in":"$$inp.source"}}}}
])

这篇关于带条件group by语句的MongoDB查询的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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