在mongodb聚合管道中将毫秒转换为日期以进行分组?

问题描述

限时删除！！

我必须在mongodb聚合pipiline中将毫秒转换为日期格式-

I have to convert milliseconds to date format in mongodb aggregation pipiline -

我的查询是-

db.campaign_wallet.aggregate({"$match" : {"campaignId" : 1, "txnTime" : { "$gte" : 1429554600000, "$lte" : 1430159400000}}}, {"$group" : {"_id" : {"msisdn" : "$msisdn", "txnTime" : "$txnTime"}, "count" : {"$sum": 1}}});

在此查询中，如何将txnTime(以毫秒为单位)转换为管道中的日期?

In this query how to convert txnTime (which is in milliseconds) to date in pipeline ?

推荐答案

我正在尝试将txnTime字段转换为日期对象背后的逻辑，因为按日期字段或以毫秒为单位的时间戳进行分组(例如您目前正在执行的操作)将获得相同的结果，因为它们在各自的格式中都是唯一的！

I'm trying to get the logic behind converting the txnTime field to a date object because grouping by either a date field or a timestamp in milliseconds (like what you are presently doing) will yield the same result as they both are unique in their respective formats!

要将txnTime字段更改为日期对象，则应添加 $project 管道，位于带有此表达式的 $group 管道阶段

To change the txnTime field to a date object you should then include a $project pipeline before the $group pipeline stage with this expression

"txnTime": {
    "$add": [ new Date(0), "$txnTime" ]
}

，以便您可以执行 操作:

so that you can do your $group operation on the converted/projected txnTime field:

var convertedTxnTime = { "$add": [new Date(0), "$txnTime"] };

/*
  If using MongoDB 4.0 and newer, use $toDate

  var convertedTxnTime = { "$toDate": "$txnTime" };

  or $convert

  var convertedTxnTime = { "$convert": { "input": "$txnTime", "to": "date" } };

*/

db.campaign_wallet.aggregate([
    { "$match": {
        "campaignId" : 1 ,
        "txnTime" : {
            "$gte" : 1429554600000 ,
            "$lte" : 1430159400000
        }
    } },
    { "$group" : {
        "_id" : {
            "txnTime": convertedTxnTime,
            "msisdn" : "$msisdn"
        },
        "msisdnCount" : { "$sum" : 1}
    } }
]);

输出 :(基于此 )

Output: (based on the sample documents from this question)

/* 0 */
{
    "result" : [
        {
            "_id" : {
                "txnTime" : ISODate("2015-04-25T18:30:00.000Z"),
                "msisdn" : "91808770101"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
                "msisdn" : "9180877010"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime" : ISODate("2015-04-25T18:30:01.111Z"),
                "msisdn" : "91808070101"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime" : ISODate("2015-04-25T18:30:00.000Z"),
                "msisdn" : "91808070101"
            },
            "msisdnCount" : 2
        },
        {
            "_id" : {
                "txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
                "msisdn" : "9189877000"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
                "msisdn" : "9189877667"
            },
            "msisdnCount" : 1
        }
    ],
    "ok" : 1
}

-更新-

要使用格式YYYY-MM-DD按日期对文档进行分组，请使用 日期汇总运算符

To group the documents by date with the format YYYY-MM-DD, use the Date Aggregation Operators

示例:

var convertedTxnTime = { "$add": [new Date(0), "$txnTime"] };

/*
  If using MongoDB 4.0 and newer, use $toDate

  var convertedTxnTime = { "$toDate": "$txnTime" };

  or $convert

  var convertedTxnTime = { "$convert": { "input": "$txnTime", "to": "date" } };

*/

db.campaign_wallet.aggregate([
    { "$match": {
        "campaignId" : 1 ,
        "txnTime" : {
            "$gte" : 1429554600000 ,
            "$lte" : 1430159400000
        }
    } },
    { "$group" : {
        "_id" : {
            "txnTime_year" : { "$year": convertedTxnTime },
            "txnTime_month" : { "$month": convertedTxnTime },
            "txnTime_day" : { "$dayOfMonth": convertedTxnTime },
            "msisdn": "$msisdn"
        },
        "msisdnCount" : { "$sum" : 1}
    } }
]);

输出:

/* 0 */
{
    "result" : [
        {
            "_id" : {
                "txnTime_year" : 2015,
                "txnTime_month" : 4,
                "txnTime_day" : 25,
                "msisdn" : "91808770101"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime_year" : 2015,
                "txnTime_month" : 4,
                "txnTime_day" : 25,
                "msisdn" : "91808070101"
            },
            "msisdnCount" : 3
        },
        {
            "_id" : {
                "txnTime_year" : 2015,
                "txnTime_month" : 4,
                "txnTime_day" : 27,
                "msisdn" : "9180877010"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime_year" : 2015,
                "txnTime_month" : 4,
                "txnTime_day" : 27,
                "msisdn" : "9189877000"
            },
            "msisdnCount" : 1
        },
        {
            "_id" : {
                "txnTime_year" : 2015,
                "txnTime_month" : 4,
                "txnTime_day" : 27,
                "msisdn" : "9189877667"
            },
            "msisdnCount" : 1
        }
    ],
    "ok" : 1
}

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