I have a data like below in my mongoDB collection. I want to count the total number or search_term on today basis.
_id:ObjectId("5b7e1d38981cdc1a7c8bb5fc")
search_term:"Baiyoke Boutique"
date:"August 23rd 2018, 9:34:32 am"
_id:ObjectId("5b7e1fa8fa27fd2754080ad9")
search_term:"Baiyoke Boutique"
date:"August 23rd 2018, 9:44:56 am"
_id:ObjectId("5b7e28314d2d0f388c1596cd")
search_term:"Baiyoke Florting Market"
date:"August 23rd 2018, 10:21:21 am"
I have tried following query. I have used moment. I am not what mistake I did.
var start = moment().startOf('day');
var end = moment().endOf('day');
history.find({
date: {
$gte: start,
$lt: end
}
}).count().toArray(
function (e, res) {
if (e) callback(e)
else callback(null, res)
});
You can try below queries in mongodb 3.6 and above
db.collection.find({
"$expr": {
"$gte": [{ "$dateFromString": { "dateString": "$date" }}, start.toDate() ],
"$lt": [{ "$dateFromString": { "dateString": "$date" }}, end.toDate() ]
}
}).count()
or with aggregation
db.collection.aggregate([
{ "$addFields": {
"date": {
"$dateFromString": {
"dateString": "$date"
}
}
}},
{ "$match": { "date": { "$gte": start.toDate(), "$lt": end.toDate() }}},
{ "$count": "count" }
])
You can try this
db.col.aggregate([{$addFields: {
convertedDate: { $toDate: "$date" }
}},
{"$match" :
{"convertedDate" :
{"$gte" : ISODate("2018-08-23T09:34:32.000Z"),
"$lte" : ISODate("2018-08-23T09:34:32.000Z")}
}
},
{"$group" : {"_id" : null,"count" : {"$sum" : 1}}},
{"$project" : {"_id" : 0}}
])
This is for Node js
var start = moment().startOf('day');
var end = moment().endOf('day');
history.aggregate([{
$addFields: {
convertedDate: { $toDate: "$date" }
}
},
{
"$match":
{
"convertedDate":
{
"$gte": start,
"$lte": end
}
}
},
{ "$group": { "_id": null, "count": { "$sum": 1 } } },
{ "$project": { "_id": 0 } }
], function (err, count) {
console.log(count)
})
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