Ami*_*Das 11 mongodb mongodb-query aggregation-framework
我必须在mongodb聚合pipiline中将毫秒转换为日期格式 -
我的疑问是 -
db.campaign_wallet.aggregate({"$match" : {"campaignId" : 1, "txnTime" : { "$gte" : 1429554600000, "$lte" : 1430159400000}}}, {"$group" : {"_id" : {"msisdn" : "$msisdn", "txnTime" : "$txnTime"}, "count" : {"$sum": 1}}});
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在此查询中如何将txnTime(以毫秒为单位)转换为管道中的日期?
chr*_*dam 16
我试图获得将txnTime字段转换为日期对象的逻辑,因为按日期字段或时间戳(以毫秒为单位)进行分组(就像您目前所做的那样)将产生相同的结果,因为它们在各自的格式中都是唯一的!
要将txnTime字段更改为日期对象,您应该$project在$group具有此表达式的管道阶段之前包含管道
"txnTime": {
"$add": [ new Date(0), "$txnTime" ]
}
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这样您就可以$group对转换/投影的txnTime字段进行操作:
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" : { "$sum" : 1}
} }
]);
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输出 :(基于此问题的样本文件)
/* 0 */
{
"result" : [
{
"_id" : {
"txnTime" : ISODate("2015-04-25T18:30:00.000Z"),
"msisdn" : "91808770101"
},
"msisdnCount" : 1
},
{
"_id" : {
"txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
"msisdn" : "9180877010"
},
"msisdnCount" : 1
},
{
"_id" : {
"txnTime" : ISODate("2015-04-25T18:30:01.111Z"),
"msisdn" : "91808070101"
},
"msisdnCount" : 1
},
{
"_id" : {
"txnTime" : ISODate("2015-04-25T18:30:00.000Z"),
"msisdn" : "91808070101"
},
"msisdnCount" : 2
},
{
"_id" : {
"txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
"msisdn" : "9189877000"
},
"msisdnCount" : 1
},
{
"_id" : {
"txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
"msisdn" : "9189877667"
},
"msisdnCount" : 1
}
],
"ok" : 1
}
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- 更新 -
要按日期使用格式对文档进行分组YYYY-MM-DD,请使用日期聚合运算符
例:
var convertedTxnTime = { "$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}
} }
]);
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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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