用Mongoose中的单个MongoDB查询返回与最新日期匹配的多个文档

Question

The following is MongoDB query. What is the best possible way to write this query in Mongoose?

db.logs.find({date: db.logs.find({}, {date:1,"_id":0}).sort({date:-1}).limit(1).toArray()[0].date})

There could be multiple documents with the same date and we need to retrieve all the documents that match the latest date.

Answer 1

The aggregation framework makes it possible to write this in a single query. You would require a pipeline that has an initial $lookup operator to do a self-join and within the $lookup execute a pipeline on the joined collection which allows for uncorrelated sub-queries to return the latest date:

db.logs.aggregate([
    {  "$lookup": {
        "from": "logs",
        "pipeline": [
            { "$sort": { "date": -1 } },
            { "$limit": 1 },
            { "$project": { "_id": 0, "date": 1 } }
        ],
        "as": "latest"
    } }
])

A further step is required to reshape the new field latest produced above so that the array is flattened. Use $addFields to reshape and $arrayElemAt to flatten the array or use "$unwind" :

db.logs.aggregate([
    {  "$lookup": {
        "from": "logs",
        "pipeline": [
            { "$sort": { "date": -1 } },
            { "$limit": 1 },
            { "$project": { "_id": 0, "date": 1 } }
        ],
        "as": "latest"
    } },
    { "$addFields": { "latest": { "$arrayElemAt": ["$latest", 0] } } }
])

The final step would be to filter the documents in the resulting pipeline using $expr in a $match stage since you will be comparing fields from the same document:

db.logs.aggregate([
    {  "$lookup": {
        "from": "logs",
        "pipeline": [
            { "$sort": { "date": -1 } },
            { "$limit": 1 },
            { "$project": { "_id": 0, "date": 1 } }
        ],
        "as": "latest"
    } },
    { "$addFields": { "latest": { "$arrayElemAt": ["$latest", 0] } } },
    { "$match": {
        "$expr": {
            "$eq": [ "$date", "$latest.date" ]
        } 
    } }
])

Getting the query into Mongoose becomes a trivial exercise.