mongo中的组,不包括空值 [英] group in mongo excluding null values
本文介绍了mongo中的组,不包括空值的处理方法,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
我有mongo查询,可以对文档进行分组操作.
I have mongo query which does the group operation on the documents.
除了要优化结果而没有空值或空值之外,我几乎得到了预期的结果.
I have almost got the expected results except that I want to refine the results without empty or null values.
当前我的查询如下:
db.productMetadata.aggregate([{$group:{"_id":{"color":"$productAttribute.colour","gender":"$productAttribute.gender"},"count" : {$sum : 1}}}]);
结果看起来像这样:
{ "_id" : { "color" : "BLUE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { }, "count" : 4 }
{ "_id" : { "color" : "NA", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "color" : "BLACK", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "gender" : "MEN" }, "count" : 2 }
{ "_id" : { "color" : "BEIGE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "MEN" }, "count" : 1 }
如果数据库的实际数据中的group by字段值中的任何一个为空或为null,我想删除这些行.
I want to remove the rows if any of the group by field values are empty or null in the actual data of DB.
例外结果应如下所示:
{ "_id" : { "color" : "BLUE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "NA", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "color" : "BLACK", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "color" : "BEIGE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "MEN" }, "count" : 1 }
推荐答案
您需要额外的 $match
管道步骤,该步骤将基于存在的嵌入式字段"$productAttribute.colour"
而不是null来过滤传入的文档:
You need an extra $match
pipeline step that will filter the incoming documents based on the embedded field "$productAttribute.colour"
existing and not null:
db.productMetadata.aggregate([
{
"$match": {
"productAttribute.colour": {
"$exists": true,
"$ne": null
}
}
},
{
"$group": {
"_id": {
"color": "$productAttribute.colour",
"gender": "$productAttribute.gender"
},
"count": {
"$sum": 1
}
}
}
]);
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