我在MongoDB中有一个集合和这样的文档 -
[
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"amount": 2,
"balance": 0,
"txnTime": 1428907779206,
"txnSrc": "Dial_In",
"msisdn": "9789877667",
"circle": "Delhi",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Delhi",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9189877667",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Delhi",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9189877000",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 8,
"operatorId": 1,
"txnType": "DR",
"circle": "Delhi",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9189877010",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 8,
"operatorId": 1,
"txnType": "DR",
"circle": "Mumbai",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9180877010",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Mumbai",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9180877010",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Mumbai",
"amount": 2,
"balance": 0,
"txnTime": 1429986600000,
"txnSrc": "Dial_In",
"msisdn": "91808770101",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Delhi",
"amount": 2,
"balance": 0,
"txnTime": 1429986600000,
"txnSrc": "Dial_In",
"msisdn": "91808070101",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Delhi",
"amount": 2,
"balance": 0,
"txnTime": 1429986600000,
"txnSrc": "Dial_In",
"msisdn": "91808070101",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 8,
"operatorId": 1,
"txnType": "DR",
"circle": "Jaipur",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9180877010",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 8,
"operatorId": 1,
"txnType": "DR",
"circle": "UP-West",
"amount": 2,
"balance": 0,
"txnTime": 1430111514796,
"txnSrc": "Dial_In",
"msisdn": "9180877010",
"smsContent": "Hello Mr Arif"
},
{
"campaignId": 1,
"operatorId": 1,
"txnType": "DR",
"circle": "Delhi",
"amount": 2,
"balance": 0,
"txnTime": 1429986601111,
"txnSrc": "Dial_In",
"msisdn": "91808070101",
"smsContent": "Hello Mr Arif"
}
]
我根据日期的唯一msisdn为这个集合进行了group by的聚合查询,这是 -
db.campaign_wallet.aggregate({
"$match": {
"campaignId": 1,
"txnTime": {
"$gte": 1429554600000,
"$lte": 1430159400000
}
}
}, {
"$group": {
"_id": {
"txnTime": "$txnTime",
"msisdn": "$msisdn"
},
"msisdnCount": {
"$sum": 1
}
}
}, {
"$group": {
"_id": "$_id.txnTime",
"msisdns": {
"$push": {
"txnTime": "$_id.txnTime",
"count": "$msisdnCount"
},
},
"count": {
"$sum": "$msisdnCount"
}
}
});
这是基于时间(以毫秒为单位)和msisdns -
给出正确的结果
我必须在查询中转换日期中的时间(毫秒),以便它将根据日期而不是以毫秒为单位的确切时间来过滤数据。解决方案是什么?
答案 0 :(得分:2)
您可以尝试使用$project
算术运算符将毫秒时间添加到$add
运算符中的零毫秒Date()对象,因此如下所示的聚合管道将为您提供时间戳字段转换为日期:
db.campaign_wallet.aggregate([
{
"$match": {
"campaignId" : 1 ,
"txnTime" : {
"$gte" : 1429554600000 ,
"$lte" : 1430159400000
}
}
},
{
"$group" : {
"_id" : {
"txnTime" : "$txnTime",
"msisdn":"$msisdn"
},
"msisdnCount" : { "$sum" : 1}
}
},
{
"$group" : {
"_id" : "$_id.txnTime",
"msisdns" : {
"$push" :{
"txnTime" : "$_id.txnTime",
"count" : "$msisdnCount"
},
},
"count" : {
"$sum" : "$msisdnCount"
}
}
},
{
"$unwind": "$msisdns"
},
{
"$project": {
"msisdns": {
"txnTime" : {
"$add": [ new Date(0), "$msisdns.txnTime" ]
}
},
"msisdns.count": 1,
"count": 1
}
}
]);
<强>输出强>:
/* 0 */
{
"result" : [
{
"_id" : 1430111514796,
"msisdns" : {
"txnTime" : ISODate("2015-04-27T05:11:54.796Z"),
"count" : 1
},
"count" : 1
},
{
"_id" : 1430111514900,
"msisdns" : {
"txnTime" : ISODate("2015-04-27T05:11:54.900Z"),
"count" : 1
},
"count" : 1
}
],
"ok" : 1
}