I would like to retrieve a list of values that comes from the oldest document currently signed.But i failed to select a document absed on the date.Thanks
here is json :
"ad" : "noc3",
"createdDate" : ISODate(),
"list" : [
{
"id" : "p45",
"value" : 21,
},
{
"id" : "p6",
"value" : 20,
},
{
"id" : "4578",
"value" : 319
}
]
and here my aggregate request :
db.friends.aggregate({$match:{advertiser:"noc3", {$sort:{timestamps:-1},{$limit:1} }},{$unwind:"$list"},{$project:{_id: "$list.id", value:{$add:[0]}}});
Your aggregate query is incorrect. You add the sort and limit to the match, but that's now how you do that. You use different pipeline operators:
db.friends.aggregate( [
{ $match: { advertiser: "noc3" } },
{ $sort: { createdDate: -1 } },
{ $limit: 1 },
Your other pipeline operators are bit strange too, and your code vs query mismatches on timestamps vs createdDate. If you add the expected output, I can update the answer to include the last bits of the query too.
Related
In my aggregate query I'm trying to add conditions in the $match statement to return only records within given date range. Without converting to ISOString, I get a set of records that ignores the date range completely. When I convert to ISOString, I get nothing (returns empty set). I've tried using the $and operator, still nothing.
I've tried all the solutions on stack to no avail. Here's my code:
$match: {
$and: [
{'author.id': { $ne: req.user._id }},
{'blurtDate': { $gte: test1.toISOString() }},
{'blurtDate': { $lte: test2.toISOString() }}
]
}
test1 and test2 are correct, I checked them on console log they reflect as follows:
2019-06-02T12:44:39.000Z -- 2019-07-02T12:44:39.928Z
I also tried without the $and operator like so:
$match: {
'author.id': { $ne: req.user._id },
'blurtDate': { $gte: test1.toISOString() },
'blurtDate': { $lte: test2.toISOString() }
}
Which again returns nothing. Any help much appreciated!
EDIT: Wanted to emphasize that test1 and test2 are new date objects:
test1 = new Date(qryDateFrom); //Tried .toISOString() as well
test2 = new Date(qryDateTo);
Without .toISOString(), I get a return of values that ignores the dates. With .toISOString I get an empty return.
Here's an example document that should be returned:
{
"_id" : ObjectId("5d0a807345c85d00ac4b7217"),
"text" : "<p>Seriously RV style.</p>",
"blurtDate" : ISODate("2019-06-19T18:35:31.156Z"),
"blurtImg" : "04643410-92c1-11e9-80b6-a3262311afff.png",
"vote" : 0,
"author" : {
"id" : ObjectId("5cb5df0ef7a3570bb4ac6e05"),
"name" : "Benjamin Paine"
},
"__v" : 0
}
When I remove .toISOString(), I get documents outside of the expected date range, such as this one in May (query should only return between june 2 and july 2).
{
"_id" : ObjectId("5d07ebaf9a035117e4546349"),
"text" : "<p>A start to something more...</p>",
"blurtDate" : ISODate("2019-05-15T19:36:15.737Z"),
"blurtImg" : "2be7a160-9137-11e9-933f-6966b2e503c7.png",
"vote" : 0,
"author" : {
"id" : ObjectId("5cb5df0ef7a3570bb4ac6e05"),
"name" : "Benjamin Paine"
},
"__v" : 0
}
Your docs contain actual Date objects, so remove the .toISOString()s from your query. But you'll also need to combine your $gte and $lte terms into a single object:
$match: {
'author.id': { $ne: req.user._id },
'blurtDate': { $gte: test1, $lte: test2 }
}
It's one of my data as JSON format:
{
"_id" : ObjectId("5bfdb412a80939b6ed682090"),
"accounts" : [
{
"_id" : ObjectId("5bf106eee639bd0df4bd8e05"),
"accountType" : "DDA",
"productName" : "DDA1"
},
{
"_id" : ObjectId("5bf106eee639bd0df4bd8df8"),
"accountType" : "VSA",
"productName" : "VSA1"
},
{
"_id" : ObjectId("5bf106eee639bd0df4bd8df9"),
"accountType" : "VSA",
"productName" : "VSA2"
}
]
}
I want to make a query to get all productName(no duplicate) of accountType = VSA.
I write a mongo query:
db.Collection.distinct("accounts.productName", {"accounts.accountType": "VSA" })
I expect: ['VSA1', 'VSA2']
I get: ['DDA','VSA1', 'VSA2']
Anybody knows why the query doesn't work in distinct?
Second parameter of distinct method represents:
A query that specifies the documents from which to retrieve the distinct values.
But the thing is that you showed only one document with nested array of elements so whole document will be returned for your condition "accounts.accountType": "VSA".
To fix that you have to use Aggregation Framework and $unwind nested array before you apply the filtering and then you can use $group with $addToSet to get unique values. Try:
db.col.aggregate([
{
$unwind: "$accounts"
},
{
$match: {
"accounts.accountType": "VSA"
}
},
{
$group: {
_id: null,
uniqueProductNames: { $addToSet: "$accounts.productName" }
}
}
])
which prints:
{ "_id" : null, "uniqueProductNames" : [ "VSA2", "VSA1" ] }
I'm evaluating the following query on my collection with fake data:
db.test_result.find({"date": {$gte: ISODate("2021-07-27"), $lte: ISODate("2021-08-31")}}).count()
And despite the fact that I use $lte it does not include the second date value. Is it a bug? If so then how do I make the query so that the left and right borders are included?
Here is what a fake json obj looks like:
{
"nfl": "Some",
"rStatus": false,
"mac": "02:00:00:00:00:00",
"date": "2021-07-27T12:17:57",
"MDCode": "123132132123",
}
With this given input:
{
"_id" : ObjectId("596c6fea53cc7100104628fa"),
"timestamp" : ISODate("2017-07-17T08:06:02.041Z"),
}
{
"_id" : ObjectId("596c7162973f33000fc8bb81"),
"timestamp" : ISODate("2017-07-17T08:12:18.170Z")
}
{
"_id" : ObjectId("596c736c15371f00106b9e3a"),
"timestamp" : ISODate("2017-07-17T08:21:00.291Z")
}
This query:
...find({"timestamp": {$gte: ISODate("2017-07-17T08:06:02.041Z"), $lte: ISODate("2017-07-17T08:12:18.170Z")}})
Would return:
{
"_id" : ObjectId("596c6fea53cc7100104628fa")
"timestamp" : ISODate("2017-07-17T08:06:02.041Z")
}
{
"_id" : ObjectId("596c7162973f33000fc8bb81"),
"timestamp" : ISODate("2017-07-17T08:12:18.170Z")
}
Which is what you would expect, the results match to the dot the 2 borders. So in a nutshell it would be included if it is an exact match, otherwise you would get only the once in between.
Lets say I have a collection called phone_audit with document entries of the following form - _id which is the phone number, and value containing items that always contains 2 entries (id, and a date).
Please see below:
{
"_id" : {
"phone_number" : "+012345678"
},
"value" : {
"items" : [
{
"_id" : "c14b4ac1db691680a3fb65320fba7261",
"updated_at" : ISODate("2016-03-14T12:35:06.533Z")
},
{
"_id" : "986b58e55f8606270f8a43cd7f32392b",
"updated_at" : ISODate("2016-07-23T11:17:53.552Z")
}
]
}
},
......
I need to get a list of _id values for every entry in that collection representing the older of the two items in each document.
So in the above - result would be [c14b4ac1db691680a3fb65320fba7261,...]
Any pointers at the type of query to execute would be v.helpful even if the exact syntax is not correct.
With aggregate(), you can $unwind value.items, $sort by update_at, then use $first to get the oldest:
[
{
"$unwind": "$value.items"
},
{
"$sort": { "value.items.updated_at": 1 }
},
{
"$group":{
_id: "$_id.phone_number",
oldest:{$first:"$value.items"}
}
},
{
"$project":{
value_id: "$oldest._id"
}
}
]
I have a collection :
gStats : {
"_id" : "id1",
"criteria" : ["key1":"value1", "key2":"value2"],
"groups" : [
{"id":"XXXX", "visited":100, "liked":200},
{"id":"YYYY", "visited":30, "liked":400}
]
}
I want to be able to update a document of the stats Array of a given array of criteria (exact match).
I try to do this on 2 steps :
Pull the stat document from the array of a given "id" :
db.gStats.update({
"criteria" : {$size : 2},
"criteria" : {$all : [{"key1" : "2096955"},{"value1" : "2015610"}]}
},
{
$pull : {groups : {"id" : "XXXX"}}
}
)
Push the new document
db.gStats.findAndModify({
query : {
"criteria" : {$size : 2},
"criteria" : {$all : [{"key1" : "2015610"}, {"key2" : "2096955"}]}
},
update : {
$push : {groups : {"id" : "XXXX", "visited" : 29, "liked" : 144}}
},
upsert : true
})
The Pull query works perfect.
The Push query gives an error :
2014-12-13T15:12:58.571+0100 findAndModifyFailed failed: {
"value" : null,
"errmsg" : "exception: Cannot create base during insert of update. Cause
d by :ConflictingUpdateOperators Cannot update 'criteria' and 'criteria' at the
same time",
"code" : 12,
"ok" : 0
} at src/mongo/shell/collection.js:614
Neither query is working in reality. You cannot use a key name like "criteria" more than once unless under an operator such and $and. You are also specifying different fields (i.e groups) and querying elements that do not exist in your sample document.
So hard to tell what you really want to do here. But the error is essentially caused by the first issue I mentioned, with a little something extra. So really your { "$size": 2 } condition is being ignored and only the second condition is applied.
A valid query form should look like this:
query: {
"$and": [
{ "criteria" : { "$size" : 2 } },
{ "criteria" : { "$all": [{ "key1": "2015610" }, { "key2": "2096955" }] } }
]
}
As each set of conditions is specified within the array provided by $and the document structure of the query is valid and does not have a hash-key name overwriting the other. That's the proper way to write your two conditions, but there is a trick to making this work where the "upsert" is failing due to those conditions not matching a document. We need to overwrite what is happening when it tries to apply the $all arguments on creation:
update: {
"$setOnInsert": {
"criteria" : [{ "key1": "2015610" }, { "key2": "2096955" }]
},
"$push": { "stats": { "id": "XXXX", "visited": 29, "liked": 144 } }
}
That uses $setOnInsert so that when the "upsert" is applied and a new document created the conditions specified here rather than using the field values set in the query portion of the statement are used instead.
Of course, if what you are really looking for is truly an exact match of the content in the array, then just use that for the query instead:
query: {
"criteria" : [{ "key1": "2015610" }, { "key2": "2096955" }]
}
Then MongoDB will be happy to apply those values when a new document is created and does not get confused on how to interpret the $all expression.