Reputation: 5281
I have the following schema in mongodb, where the timestamp is the timestamp at an hourly level
{
"day_chan1" : 54.464,
"day_chan2" : 44.141,
"day_chan3" : 44.89,
"gatewayId" : "443719005AA3",
"timestamp" : ISODate("2016-02-15T23:00:00.000Z"),
"total_curr_chan" : 5.408,
"total_day_chan" : 143.495,
"type" : 1
}
I want to be able to query the last timestamp for the day for the last 7 days and 30 days. In order to do this, I am thinking of doing something like
var d = new Date(); // today!
for(var i =1; i <= 7; i++) {
var n = i; // go back n days!
d.setDate(d.getDate() - n);
d.setHours(23,0,0);
var query = {
gatewayId: req.params.deviceId,
timestamp: { $lt: new Date(d) }
};
db
.find(query,function(resp) {
//return the data here
});
}
But this creates a problem of multiple callbacks and I want to know if there is an easier way of doing so using aggregates or some other method
Upvotes: 0
Views: 45
Reputation: 37048
For arbitrary last hour it must be a bit more complex:
db.collection.aggregate([
{$match:{
timestamp:{$type: "date"}}
// add date constraints here
},
{$project:{
_id:1,
date:{"y":{$year:"$timestamp"}, "d":{$dayOfYear:"$timestamp"}},
doc:"$$CURRENT"}
},
{$group:{
_id:"$date",
maxtime: {$max:"$doc.timestamp"},
doc:{$push:"$doc"}}
},
{$unwind:"$doc"},
{$project:{
latest: {$cmp: ["$maxtime", "$doc.timestamp"]},
doc:"$doc"}
},
{$match:{"latest":0}}
])
With map-reduce it should be simpler, but may be slower.
Upvotes: 0
Reputation: 103425
Use the $hour
operator within the $project
operator to extract the hour part of the timestamp, then query with $match
to filter documents that do not satisfy the given hour criteria:
var pipeline = [
{
"$project": {
"day_chan1": 1,
"day_chan2": 1,
"day_chan3": 1,
"gatewayId": 1,
"timestamp": 1,
"total_curr_chan": 1,
"total_day_chan": 1,
"type": 1,
"hour": { "$hour": "$timestamp" }
}
},
{ "$match": { "hour": 23 } }
];
collection.aggregate(pipeline, function(err, result) {
//return the data here
console.log(result);
});
Upvotes: 1