Reputation: 2776
I want to project all the objects from an array, if it matches the given condition.
I have following data
{
_id : 1,
em : '[email protected]',
name : 'NewName',
od :
[
{
"oid" : ObjectId("1234"),
"ca" : ISODate("2016-05-05T13:20:10.718Z")
},
{
"oid" : ObjectId("2345"),
"ca" : ISODate("2016-05-11T13:20:10.718Z")
},
{
"oid" : ObjectId("57766"),
"ca" : ISODate("2016-05-13T13:20:10.718Z")
}
]
},
{
_id : 2,
em : '[email protected]',
name : 'NewName2',
od :
[
{
"oid" : ObjectId("1234"),
"ca" : ISODate("2016-05-11T13:20:10.718Z")
},
{
"oid" : ObjectId("2345"),
"ca" : ISODate("2016-05-12T13:20:10.718Z")
},
{
"oid" : ObjectId("57766"),
"ca" : ISODate("2016-05-05T13:20:10.718Z")
}
]
}
I want to get all the objects from od array, if 'od.ca' comes between range say, if greater than 10th may and less than 15th may.
I tried using aggregate method of mongodb and I am new to this method. My query is as given below.
db.userDetail.aggregate(
{
$match:
{
'od.ca':
{
'$gte': '10/05/2016',
'$lte': '15/05/2016'
},
lo: { '$ne': 'd' }
}
},
{
$redact:
{
$cond:
{
if:
{
$gte: [ "$$od.ca", '10/05/2016' ],
$lte : ["$$od.ca" , '15/05/2016']
},
then: "$$DESCEND",
else: "$$PRUNE"
}
}
})
When I am trying to use this command, getting error :-
assert: command failed: { "errmsg" : "exception: Use of undefined variable: od", "code" : 17276, "ok" : 0 } : aggregate failed
Since I am using mongodb 3.0.0 I can not use $fiter. So I tried using $redact.
Can someone tell me what wrong I am doing? Is the query correct?
Also referred question Since I am not using 3.2 of mongodb (as I have mentioned), can not use the accepted answer of the question.
Upvotes: 1
Views: 1820
Reputation: 2776
The following query gave me the desired result. If you are using mongodb-2.6.X up to 3.0.X can use this solution.
var object = {st : "10/05/2016", et : "13/05/2016"};
db.userDetail.aggregate(
[
{
$match:
{
"od.ca":
{
'$gte': new Date(object.st),
'$lte': new Date(object.et)
},
"lo" : {$ne : 'd'}
}
},
{
$project:
{
em: 1,
fna : 1,
lna : 1,
ca :1,
od:
{
"$setDifference":
[{
"$map":
{
"input": "$od",
"as": "o",
"in":
{
"$cond":[
{
"$and":
[
{ "$gte": [ "$$o.ca", new Date(object.st) ] },
{ "$lte": [ "$$o.ca", new Date(object.et) ] },
{ "$ne": [ "$$o.oid", ObjectID(config.pid.toString())
] }
]
},
"$$o",false]
}
}
},[false]
]
}
}
},
{$sort : {_id : 1}}
];
)
If you are using 3.2.X, use $filter to get the result.
Upvotes: 0
Reputation: 9473
query explanation:
If you are expecting document like this:
{
"_id" : 2,
"od" : [{
"oid" : 1234,
"ca" : ISODate("2016-05-11T13:20:10.718Z")
}, {
"oid" : 2345,
"ca" : ISODate("2016-05-12T13:20:10.718Z")
}
]
}, {
"_id" : 1,
"od" : [{
"oid" : 2345,
"ca" : ISODate("2016-05-11T13:20:10.718Z")
}, {
"oid" : 57766,
"ca" : ISODate("2016-05-13T13:20:10.718Z")
}
]
}
you can use query bellow:
db.userDetail.aggregate([{
$match : {
"od.ca" : {
$lt : new Date(new Date().setDate(new Date().getDate() + 2)),
$gte : new Date(new Date().setDate(new Date().getDate() - 4))
}
}
}, {
$unwind : "$od"
}, {
$match : {
"od.ca" : {
$lt : new Date(new Date().setDate(new Date().getDate() + 2)),
$gte : new Date(new Date().setDate(new Date().getDate() - 4))
}
}
}, {
$group : {
_id : "$_id",
od : {
$push : "$od"
}
}
}
])
Upvotes: 3