MongoDB聚合 - 按唯一对分组
我需要用PyMongo驱动程序将某个集合中的记录按不重复的字段对(sender
和recipient
)进行分组。举个例子,像(sender_field_value, recipient_field_value)和(recipient_field_value, sender_field_value)这样的对被认为是相等的。
我的聚合管道
groups = base.flow.records.aggregate([
{'$match': {'$or': [
{'sender': _id},
{'recipient': _id}
]
}
},
{'$group': {
'_id': {
'sender': '$sender',
'recipient': '$recipient',
},
'data_id': {
'$max': '$_id'
}
}
},
{'$limit': 20}
])
应用到数据上
{ "_id" : ObjectId("533950ca9c3b6222569520c2"), "recipient" : ObjectId("533950ca9c3b6222569520c1"), "sender" : ObjectId("533950ca9c3b6222569520c0") }
{ "_id" : ObjectId("533950ca9c3b6222569520c4"), "recipient" : ObjectId("533950ca9c3b6222569520c0"), "sender" : ObjectId("533950ca9c3b6222569520c1") }
产生了以下结果
{'ok': 1.0,
'result': [
{'_id': {'recipient': ObjectId('533950ca9c3b6222569520c0'), 'sender': ObjectId('533950ca9c3b6222569520c1')},
'data_id': ObjectId('533950ca9c3b6222569520c4')},
{'_id': {'recipient': ObjectId('533950ca9c3b6222569520c1'), 'sender': ObjectId('533950ca9c3b6222569520c0')},
'data_id': ObjectId('533950ca9c3b6222569520c2')}
]
}
但我想要的结果其实是
{'ok': 1.0,
'result': [
{'_id': {'recipient': ObjectId('533950ca9c3b6222569520c0'), 'sender': ObjectId('533950ca9c3b6222569520c1')},
'data_id': ObjectId('533950ca9c3b6222569520c4')}
]
}
那么,正确的管道应该是什么呢?
1 个回答
2
为了实现不同的配对分组,我们可以在 $group _id 中传入相同的“东西”来处理这两种情况。我会用普通的比较方法来做到这一点(如果你的发送者和接收者不能直接比较,你可以想出其他更适合你情况的方法,我这个方案可能就不适用了):
{$project : {
"_id" : 1,
"groupId" : {"$cond" : [{"$gt" : ['$sender', '$recipient']}, {big : "$sender", small : "$recipient"}, {big : "$recipient", small : "$sender"}]}
}},
{$group: {
'_id': "$groupId",
'data_id': {
'$max': '$_id'
}
}}
完整的聚合管道看起来是这样的:
{$match : {
'$or': [{'sender': userId},{'recipient': userId}]
}},
{$project : {
"_id" : 1,
"groupId" : {"$cond" : [{"$gt" : ['$sender', '$recipient']}, {big : "$sender", small : "$recipient"}, {big : "$recipient", small : "$sender"}]}
}},
{$group: {
'_id': "$groupId",
'data_id': {
'$max': '$_id'
}
}},
{$limit: 20}