首页 > 解决方案 > $lookup 区分大小写的字段

问题描述

我知道如何进行不区分大小写的搜索。

例子 :

集合成员看起来像:

{
"_id" : ObjectId("5b439c02a5439e00568291fe"),
"members" : [ 
    {
        "email" : "aaa@gmail.com"
    }, 
    {
        "email" : "bbb@gmail.com"
    }, 
    {
        "email" : "ccc@gmail.com"
    }
],
"groupname" : "abuse",
"active" : true,
"createdAt" : ISODate("2018-07-09T17:31:46.098Z"),
"updatedAt" : ISODate("2018-07-09T17:31:46.098Z"),
"__v" : 0
}

集合 member_user 看起来像:

{
"_id" : ObjectId("5a7dfce545e13f0233b2e451"),
"email" : "AAA@gmail.com",
"__v" : 0
}

{
"_id" : ObjectId("5b43ac89bfd90aa9cc4a68c2"),
"email" : "bbb@gmail.com",
"__v" : 0
}

这是我使用的代码:

    db.getCollection('member').aggregate([
    {$unwind: "$members"},
    {$lookup: {'from': 'member_user', 'localField': 'members.email', 'foreignField': 'email', 'as': 'users'}},
    {$unwind: {path: '$users', preserveNullAndEmptyArrays: true}},
    {$match : { users: { $exists: false } }},
], 
{
    collation: {
        locale: 'en_US',
        strength: 1
    }
}
    );

当数据集很小时,速度总是很快。但我有 24K 会员和 7K 用户。正如我所说,当 {$match : { users: { $exists: true } }} 时,速度还可以,但是当 {$match : { users: { $exists: false } }} 时,速度几乎是 60 倍。(1 秒对 1 分钟)

无需整理,速度总是很快

标签: mongodbmongodb-queryaggregation-framework

解决方案


您需要使用聚合将localFieldandforeignField转换为小写,$toLower然后您可以轻松匹配您的字段。

db.collection.aggregate([
  { "$unwind": "$members" },
  { "$addFields": { "members.email": { "$toLower": "$members.email" }}},
  { "$lookup": {
    "from": "users",
    "let": { "membersEmail": "$members.email" },
    "pipeline": [
      { "$addFields": { "email": { "$toLower": "$email" }}},
      { "$match": { "$expr": { "$eq": [ "$email", "$$membersEmail" ] } } }
    ],
    "as": "members.email"
  }},
  { "$unwind": "$members.email" },
  {  "$group": {
    "_id": "$_id",
    "groupname": { "$first": "$groupname" },
    "active": { "$first": "$active" },
    "members": { "$push": "$members.email" }
  }}
])

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