I am writing the first query greater than equal to CREATE_DATE and less then CREATE_DATE I got the answer ofter calculate the duration write another query but how to write the single query in the aggregation.
Query 1
db.lights.aggregate({
$match: {
CREATE_DATE: {
$gte: ISODate("2018-01-24T20:05:30.000Z"),
$lt: ISODate("2018-02-24T20:05:30.000Z")
}
}
});
Result
{
"_id": ObjectId("5a9a74843711955836a8b4b5"),
"SWITCHID": "Z4-W40-SS451A/4",
"CREATE_DATE": ISODate("2018-01-24T20:05:30Z"),
"RECEIVEDDATE": ISODate("2018-02-24T20:05:45Z"),
"STATUS": "LIGHTS ON"
}
Query 2
db.lights.aggregate([
{
$addFields: {
offduration: {
$divide: [
{
$subtract: [
"$RECEIVEDDATE",
"$CREATE_DATE"
]
},
3600000
]
}
}
}
]);
Result
{
"_id": ObjectId("5a9a75af3711955836a8b4c8"),
"SWITCHID": "Z4-W40-SS451A/5",
"CREATE_DATE": ISODate("2018-02-24T20:05:30Z"),
"RECEIVEDDATE": ISODate("2018-02-24T20:05:45Z"),
"STATUS": "LIGHTS ON",
"offduration": 0.004166666666666667
}
You need to improve your query like this :
db.lights.aggregate({
$match: {
CREATE_DATE: {
$gte: ISODate("2018-01-24T20:05:30.000Z"),
$lt: ISODate("2018-02-24T20:05:30.000Z")
}
}
},
{
$addFields: {
offduration: {
$divide: [
{
$subtract: [
"$RECEIVEDDATE",
"$CREATE_DATE"
]
},
3600000
]
}
}
},
{
$project: {
_id: 1,
SWITCHID: 1,
CREATE_DATE: 1,
RECEIVEDDATE: 1,
STATUS: 1,
offduration: '$offduration',
avgduration: { $avg: "$offduration" }
}
});
Related
I have a list of places documents which have opening times, which is an object detailed below:
"openingTimes": {
"Wednesday": [ // array of shifts
{
"startTime": { "hour": 1, "minute": 0 }, // shift starts
"endTime": { "hour": 10, "minute": 0} //shift ends
},
{
"startTime": { "hour": 15, "minute": 0 },
"endTime": { "hour": 23, "minute": 59 }
}
],
"Thursday": [
{
"startTime": { "hour": 0, "minute": 0 },
"endTime": { "hour": 23, "minute": 59 }
}
],
}
I need to add a field to indicate if the place is open now or not,
{
$addFields: {
isOpenNow: {
$and: [
{
$or: [
{
$lt: ['$openingTimes.Wednesday.startTime.hour', 14]
},
{
$and: [
{
$lte: ['$openingTimes.Wednesday.startTime.hour', 14]
},
{
$lte: ['$openingTimes.Wednesday.startTime.minute', 0]
}
]
}
]
},
{
$or: [
{
$gt: ['$openingTimes.Wednesday.endTime.hour', 14]
},
{
$and: [
{
$gte: ['$openingTimes.Wednesday.endTime.hour', 14]
},
{
$gte: ['$openingTimes.Wednesday.endTime.minute', 0]
}
]
}
]
}
]
}
but it ends up with a result of false I think $gte: ['$openingTimes.Wednesday.endTime.hour', 14] compares the array of hours to 14, is there is a way to indicate if the place is open based on it's shifts.
You can try below aggregate:
{
isPlaceOPen: {
$cond: {
if: { $gt: [{ $size: {
$filter: {
input: '$openingTimes.Wednesday',
as: 'shift',
cond: {
$and: [
{
$or: [
{
$lt: [
'$$shift.startTime.hour',
14
]
},
{
$and: [
{
$lte: [
'$$shift.startTime.hour',
14
]
},
{
$lte: [
'$$shift.startTime.minute',
0
]
}
]
}
]
},
{
$or: [
{
$gt: [
'$$shift.endTime.hour',
14
]
},
{
$and: [
{
$gte: [
'$$shift.endTime.hour',
14
]
},
{
$gte: [
'$$shift.endTime.minute',
0
]
}
]
}
]
}
]
}
}
} }, 0] },
then: true,
else: false,
},
}
}
I was wondering if someone could help me get my aggregation function right. I'm trying to count load of visits of my Fitness. I have Visits table where every visit (from, to) dates are saved. Also sub-visits to some services saved too.
[{
"from": ISODate("2020-01-17T10:23:27.645Z"),
"to": ISODate("2020-01-17T12:23:28.760Z"),
"visits": [
{
"from": ISODate("2020-01-17T10:23:27.646Z"),
"to": ISODate("2020-01-17T10:30:28.760Z"),
"service": ObjectId("5e05f17d6b7f7920d4a62403")
},
{
"from": ISODate("2020-01-17T10:30:29.760Z"),
"to": ISODate("2020-01-17T12:23:28.760Z"),
"service": ObjectId("5d05f17dt57f7920d4a62404")
}
],
...
},
{
"from": ISODate("2020-01-17T10:40:00.000Z"),
"to": ISODate("2020-01-17T11:30:28.760Z"),
"visits": [
{
"from": ISODate("2020-01-17T10:40:00.000Z"),
"to": ISODate("2020-01-17T11:30:28.760Z"),
"service": ObjectId("h505f17s6b2f7920d4a6295y")
}
],
...
}
]
I wanted to reach the result for today from 00:00 if current time is 13:35 then get until 13:00 like :
[{
'date': '2020-01-18T00:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T00:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T00:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T01:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T02:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T03:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T04:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T05:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T06:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T07:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T08:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T09:00:0.000Z'
'visits': 0
},
{
'date': '2020-01-18T010:00:0.000Z'
'visits': 2
},
{
'date': '2020-01-18T11:00:0.000Z'
'visits': 2
},
{
'date': '2020-01-18T12:00:0.000Z'
'visits': 1
},
{
'date': '2020-01-18T13:00:0.000Z'
'visits': 0
}]
Tried too many examples, but nothing worked, Please help !
EXPLANATION
If we use $$NOW, we get current date. If you setup currDate, today, nextDay manually, MongoDB aggregation will limit desired values.
Now, we calculate how many hours from today (yyyy-MM-dd 00:00:00) - currDate (yyyy-MM-dd 13:35:00) ~ 13 hours and with $range operator create array
We flatten interval and apply filtering
You may use such query:
db.collection.aggregate([
{
$addFields: {
nextDay: {
$add: [
{
$dateFromString: {
dateString: {
$substr: [
{
$toString: "$$NOW"
},
0,
10
]
},
format: "%Y-%m-%d"
}
},
{
$multiply: [
24,
60,
60,
1000
]
}
]
},
today: {
$dateFromString: {
dateString: {
$substr: [
{
$toString: "$$NOW"
},
0,
10
]
},
format: "%Y-%m-%d"
}
},
currDate: {
$dateFromString: {
dateString: {
$substr: [
{
$toString: "$$NOW"
},
0,
13
]
},
format: "%Y-%m-%dT%H",
timezone: "-01"
}
}
}
},
{
$addFields: {
interval: {
$range: [
0,
{
$add: [
{
$divide: [
{
$subtract: [
"$currDate",
"$today"
]
},
{
$multiply: [
60,
60,
1000
]
}
]
},
1
]
},
1
]
}
}
},
{
$unwind: "$interval"
},
{
$addFields: {
date: {
$add: [
"$today",
{
$multiply: [
"$interval",
60,
60,
1000
]
}
]
},
nextHour: {
$add: [
"$today",
{
$multiply: [
{
$add: [
"$interval",
1
]
},
60,
60,
1000
]
}
]
}
}
},
{
$project: {
_id: 0,
date: 1,
today: 1,
nextDay: 1,
visits: {
$reduce: {
input: "$visits",
initialValue: 0,
in: {
$add: [
"$$value",
{
$cond: [
{
$or: [
{
$and: [
{
$gte: [
"$$this.from",
"$date"
]
},
{
$lte: [
"$$this.from",
"$nextHour"
]
}
]
},
{
$and: [
{
$lte: [
"$date",
"$$this.to"
]
},
{
$gte: [
"$date",
"$$this.from"
]
}
]
}
]
},
1,
0
]
}
]
}
}
}
}
},
{
$match: {
$expr: {
$and: [
{
$gte: [
"$date",
"$today"
]
},
{
$lte: [
"$date",
"$nextDay"
]
},
]
}
}
},
{
$group: {
_id: "$date",
visits: {
$sum: "$visits"
}
}
},
{
$sort: {
_id: 1
}
}
])
MongoPlayground
For JS setup, click here
You may try this solution if you want more elegant way
i am trying this aggregation i got the exact out put but not get all fields please solve my problem how to get all fields in following query
db.lights.aggregate({ $match: { CREATE_DATE: { $gte: ISODate("2018-01-24T20:05:30.000Z"), $lt: ISODate("2018-02-24T20:05:30.000Z") } } }, { $addFields: { offduration: { $divide: [{ $subtract: ["$RECEIVEDDATE", "$CREATE_DATE"] }, 3600000] } } }, { "$group": { _id: { SWITCHID: "$SWITCHID", STATUS: "$STATUS" }, avgduration: { $avg: "$offduration" }, SWITCHID: { $first: "$SWITCHID" }, CREATE_DATE: { $first: "$CREATE_DATE" }, RECEIVEDDATE: { $first: "$RECEIVEDDATE" }, STATUS: { $first: "$STATUS" }, offduration: { $first: "$offduration" }, } }, { $project: { _id: 0, SWI`TCHID: 1, CREATE_DATE: 1, RECEIVEDDATE: 1, STATUS: 1, avgduration: '$avgduration', offduration: '$offduration' } },{"$group" : { _id: { SWITCHID: "$SWITCHID" }, on_minus_off: { $sum:{ "$cond": [ { "$eq": ["$STATUS", "LIGHTS OFF"] }, "$avgduration", { $subtract: [ 0, "$avgduration" ] } ]}} }})
I am trying in this aggregation is working but not get all fields how to get all fields any suggestion me i wright any wrong this query please check
db.lights.aggregate({
$match: {
CREATE_DATE: {
$gte: ISODate("2018-01-24T20:05:30.000Z"),
$lt: ISODate("2018-02-24T20:05:30.000Z")
}
}
}, {
$addFields: {
offduration: {
$divide: [{
$subtract: ["$RECEIVEDDATE", "$CREATE_DATE"]
}, 3600000]
}
}
}, {
"$group": {
_id: {
SWITCHID: "$SWITCHID",
STATUS: "$STATUS"
},
avgduration: {
$avg: "$offduration"
}
}
}, {
$project: {
_id: 1,
SWITCHID: 1,
CREATE_DATE: 1,
RECEIVEDDATE: 1,
STATUS: 1,
avgduration: '$avgduration',
offduration: '$offduration'
}
})
try this,
db.lights.aggregate({
$match: {
CREATE_DATE: {
$gte: ISODate("2018-01-24T20:05:30.000Z"),
$lt: ISODate("2018-02-24T20:05:30.000Z")
}
}
}, {
$addFields: {
offduration: {
$divide: [{
$subtract: ["$RECEIVEDDATE", "$CREATE_DATE"]
}, 3600000]
}
}
}, {
"$group": {
_id: {
SWITCHID: "$SWITCHID",
STATUS: "$STATUS"
},
avgduration: {
$avg: "$offduration"
},
SWITCHID: {
$first: "$SWITCHID"
},
CREATE_DATE: {
$first: "$CREATE_DATE"
},
RECEIVEDDATE: {
$first: "$RECEIVEDDATE"
},
STATUS: {
$first: "$STATUS"
},
offduration: {
$first: "$offduration"
},
}
}, {
$project: {
_id: 1,
SWITCHID: 1,
CREATE_DATE: 1,
RECEIVEDDATE: 1,
STATUS: 1,
avgduration: '$avgduration',
offduration: '$offduration'
}
})
You can use $$ROOT also, It'll add entire object inside data. You have to refer using data.key
{
$group: {
_id: {
SWITCHID: "$SWITCHID",
STATUS: "$STATUS"
},
data: {
$first: "$$ROOT"
}
}
}
i am trying this aggregation but how to write single query in this aggregations how to solve the questions. please suggest me .please suggest me two documents switchID are same . but STATUS different one STATUS IS :LIGHTS OFF another STATUS IS:LIGHTS ON . any possible add the query LIGHTS OFF avgduration - LIGHTS ON avgduration
db.lights.aggregate({
$match: {
CREATE_DATE: {
$gte: ISODate("2018-01-24T20:05:30.000Z"),
$lt: ISODate("2018-02-24T20:05:30.000Z")
}
}
}, {
$addFields: {
offduration: {
$divide: [{
$subtract: ["$RECEIVEDDATE", "$CREATE_DATE"]
}, 3600000]
}
}
}, {
"$group": {
_id: {
SWITCHID: "$SWITCHID",
STATUS: "$STATUS"
},
avgduration: {
$avg: "$offduration"
},
SWITCHID: {
$first: "$SWITCHID"
},
CREATE_DATE: {
$first: "$CREATE_DATE"
},
RECEIVEDDATE: {
$first: "$RECEIVEDDATE"
},
STATUS: {
$first: "$STATUS"
},
offduration: {
$first: "$offduration"
},
}
}, {
$project: {
_id: 1,
SWITCHID: 1,
CREATE_DATE: 1,
RECEIVEDDATE: 1,
STATUS: 1,
avgduration: '$avgduration',
offduration: '$offduration'
}
})
dblights.aggregate({"$group" : {
... _id: {
... SWITCHID: "$_id.SWITCHID"
... },
... on_minus_off: { $sum:{ "$cond": [
... { "$eq": [ "$_id.STATUS", "on" ] },
... "$avgduration",
... { $subtract: [ 0, "$avgduration" ] }
... ]}}
... }}
... ])