----------Query i have tried----------
db.getCollection('rates').aggregate([
{ $match: { "userId" : "5d4c4f69341b7b1746c80d13"}},
{ $unwind: '$ratewithdate.daywiserates'},{$match : {"$and" :
[{"ratewithdate.daywiserates.date" :{$gte :new ISODate("2019-09-
23T00:00:00.000Z")} },
{"ratewithdate.daywiserates.date" :{$lte :new ISODate("2019-09-
27T00:00:00.000Z")}}]}}])
-------------------------------------------------------------
In My query is here i want to know the query between two dates ,i want
get the data between two dates in the array? am unable to do that ,can
any one send me query,
here my question is i want get the date range from given date to next 30
days,i have tried with aggregate but data become slow..can any one suggest
any better solution for the making query formation
i have tried with aggregation as well find queries am not able find any
results,my goal here is find get the data between two dates,for example
if i selected 2019-09-23T10:43:14.239Z thi date from this date i wanna i
want to show the data.
please send me your value able suggestions to, am not bale to query with
double nested array queries in mongodb,please send me your value able
suggestions to,am not bale to query with double nested array queries in
mongodb please send me your value able suggestions to,
am not bale to query with double nested array queries in mongodb.
请给我您有价值的建议给我，不包查询 mongodb中的双嵌套数组查询，请向我发送您的值能够 的建议，不要大胆地使用双嵌套数组查询 mongodb，请将您有价值的建议发送给我， 在mongodb中使用双嵌套数组查询不是大包
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1bff"),
"alloted_roomid" : [],
"name" : "working_rate3",
"description" : "bitcpin",
"type" : "room",
"value" : null,
"inclusive" : "General",
"refundable" : {
"cancellationWindow" : "",
"outsideWindowPenalty" : "",
"insideWindowPenalty" : ""
},
"nonRefundable" : true,
"cancellationWindow" : "",
"daysWiseRate" : "30",
"insideWindowPenalty" : "",
"outsideWindowPenalty" : "",
"deviations" : 980,
"policy" : "",
"funds" : "nonRefundable",
"vat" : 890,
"other_tax" : 90,
"roomRates" : [
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c00"),
"roomId" : ObjectId("5d7c8f2950a6c766c64b2a46"),
"roomName" : "Basic",
"rate" : 9888
}
],
"userId" : "5d4c4f69341b7b1746c80d13",
"hotelCode" : 10034,
"ratewithdate" : [
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c01"),
"roomCategory" : "Basic",
"roomId" : ObjectId("5d7c8f2950a6c766c64b2a46"),
"createdAt" : ISODate("2019-09-21T10:43:14.243Z"),
"daywiserates" : [
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c1f"),
"date" : ISODate("2019-09-21T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c1e"),
"date" : ISODate("2019-09-22T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c1d"),
"date" : ISODate("2019-09-23T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c1c"),
"date" : ISODate("2019-09-24T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c1b"),
"date" : ISODate("2019-09-25T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c1a"),
"date" : ISODate("2019-09-26T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c19"),
"date" : ISODate("2019-09-27T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c18"),
"date" : ISODate("2019-09-28T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c17"),
"date" : ISODate("2019-09-29T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c16"),
"date" : ISODate("2019-09-30T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c15"),
"date" : ISODate("2019-10-01T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c14"),
"date" : ISODate("2019-10-02T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c13"),
"date" : ISODate("2019-10-03T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c12"),
"date" : ISODate("2019-10-04T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c11"),
"date" : ISODate("2019-10-05T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c10"),
"date" : ISODate("2019-10-06T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c0f"),
"date" : ISODate("2019-10-07T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c0e"),
"date" : ISODate("2019-10-08T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c0d"),
"date" : ISODate("2019-10-09T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c0c"),
"date" : ISODate("2019-10-10T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c0b"),
"date" : ISODate("2019-10-11T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c0a"),
"date" : ISODate("2019-10-12T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c09"),
"date" : ISODate("2019-10-13T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c08"),
"date" : ISODate("2019-10-14T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c07"),
"date" : ISODate("2019-10-15T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c06"),
"date" : ISODate("2019-10-16T10:43:14.239Z"),
"rate" : 9888
},
{
"_id" : ObjectId("5d85fec2e8652a5c20ae1c05"),
"date" : ISODate("2019-10-17T10:43:14.239Z"),
"rate" : 9888
},
]
}
],
"id" : "rat-W262IxTjk",
"__v" : 0
}
答案 0 :(得分：0)
尝试一下：
db.getCollection('rates').aggregate([
{ $match: { "userId" : "5d4c4f69341b7b1746c80d13"}},
{ $unwind: '$ratewithdate'},
{ $unwind: '$ratewithdate.daywiserates'},
{ $match : {
"$and" :[
{ "ratewithdate.daywiserates.date" :{$gte :new ISODate("2019-09-23T00:00:00.000Z")} },
{ "ratewithdate.daywiserates.date" :{$lte :new ISODate("2019-09-27T00:00:00.000Z")} }
]
}
},
{ $addFields: {result: "$ratewithdate.daywiserates"}},
{ $project: {result: 1, _id: 0}}
])