Database
34 results found
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Need an array query operator like elem match which matches all array nested object instead of at least one array element
as per documentation elem match query matches at least one match in array of nested object,
same we need a array query operator which returns the whole document only if elem match like criteria matches all elements in array of nested objects.
I have gone through usecase of $all with $elemMatch but it behaviour different it is like $and with $elemMatch instead excepted behaviour i am asking or excepting mentioned earlier.
https://www.mongodb.com/docs/manual/reference/operator/query/all/#use--all-with--elemmatch
https://www.mongodb.com/docs/manual/reference/operator/query/elemMatch/1 vote -
Make redundant createView() a no-op
If I call createView() with params that match an existing view (in name and all other attributes), it returns an error. It'd be more convenient if the call simply succeeded without doing any work. The behavior I propose is analogous to the way that createIndex() behaves. With the current behavior my only choices are to (1) unconditionally drop and recreate the view, or (2) read the current view definition and see whether it matches the definition I want. The first choice is unacceptable because for a period of time (albeit a short one) the view won't exist and queries that…
1 vote -
Allow Dynamic Object In $project and $addFields
Assume I have a field mapping defined in some configuration collection of my application. And this field mapping varies for different clients on my application.
I would like to pass the dynamic object in my $project or $addFields stage
Like:
$project: {
{$arrayToObject: "$field_mapping"},
}{$arrayToObject: "$field_mapping"} would return something like
"email" : "$data.Email",
"phone" : "$data.Phone,
"firstname" : "$data.FirstName",
"lastname" : "$data.LastName",
"preferredchannel" : "$data.Channel",
"preferredlanguage" : "$data.LanguageCode",
"emailchannel" : "$data.Email",
"smschannel" : "$data.SMS",
"province" : "$data.CustomerState"1 vote -
hint support for $graphLookup
Currently you can supply a
hint
to theaggregation
call in order to tell MongoDB to use a specific index for the initial$match
. But there is currently no way to specify which index to use for a$graphLookup
later in the pipeline.I would like an optional
hint
property on the$graphLookup
stage.1 vote -
Create operators that support Centrality Algorithms use cases
Degree Centrality
Closeness Centrality
Harmonic Centrality
Betweenness Centrality
Eigenvector Centrality
PageRank
ArticleRank1 vote -
Add a $sample accumulator operator
So that it's easier to sample a number of items from each group, instead of writing lengthy DSL like this:
Ideally it can be expressed like this:
{
$group: {
_id: '$year',
samples: { $sample: 100 },
}
}
Hence making sampling 100 items from each group a snap to achieve!
1 vote -
kNN Searches with MongoDB
Dear MongoDB team,
The possibility for kNN searches within a collection would be a real game changer. Not only in machine learning, but also in other areas you need this query method to find similar structures.
Practically, it could go in the same direction as text searches. So that you have to create an index that you can also query similarly and then sort according to the score.I speak from my own suffering, as I had to switch from MongoDB to Open-/Elasticsearch for my current project, as they are also non-relational databases but support kNN searches. However, I like…
1 vote -
Support expressions in $densify range bounds
The $densify aggregation pipeline stage seems unable to evaluate range bounds expressions, requiring the range bounds to be constant.
See the following example (the collection testcoll contains a single documents with only the _id field):
…sometestdb> db.testcoll.aggregate([{$addFields: {a: 1}}, {$densify: {field: "a", range: {bounds: [0, 5], step: 1}}}]) [ { a: 0 }, { _id: ObjectId("6284a16d64553eaf74b1e189"), a: 1 }, { a: 2 }, { a: 3 }, { a: 4 } ] sometestdb> db.testcoll.aggregate([{$addFields: {a: 1}}, {$densify: {field: "a", range: {bounds: [{$toInt: "0"}, 5], step: 1}}}]) MongoServerError: A bounding array must be an ascending array of either two dates or
1 vote -
Add option to $dayOfWeek to choose between Monday and Sunday
Hi!
I was wondering if you could add an optional parameter to $dayOfWeek that allows you to choose on which day you want the functionality to start counting.
Thanks!
1 vote -
Add regex support in pipeline operator `replaceAll`
It would be very nice to have something like this possible:
{ $replaceAll: { input: "$text", find: "/[;,.]/g", replacement: "." } }
Many thanks !
1 vote -
the profile output in association with the $comment query operator need to have consistency across operations.
I have observed the different profile result with regard to $comment query operator in association with find and update operation respectively as follows;
find operation shows a comment on the command.filter.$comment and the command.comment field in the system.profile collection.
op: 'query',
ns: 'db101.Bets',
command: {
find: 'Bets',
filter: {
_id: ObjectId("61a9db4b3bd34e4f68fb9abc"),
'$comment': 'test-dba'
},
comment: 'test-dba',
lsid: { id: UUID("43ebee67-3184-4ede-9cee-ecca7457861a") },
'$db': 'db101'
},update operation shows a comment only on the command.q.$comment field in the system.profile collection.
op: 'update',
ns: 'db101.Bets',
command: {
q: {
_id: ObjectId("61a9db4b3bd34e4f68fb9abc"),
'$comment': 'test-dba'
},
u: { '$set': { odds: 0.5 } },
multi:…
1 vote -
multiple centersphere as a geometry for geowithin
im looking at one of my queries that a system regularly runs and some times we look for records that are within up to 250 different centerspheres, i wornder if we could enable, like geowithin has the ability to support multiple poligons, we could enable multiple centerspheres ,
$match: {{'location':{
"$geoWithin" : {
"$centerSphere" : [[ 14.4321, -9.4321], 2.5232135647961246e-05]
}
}}, {'location':{
"$geoWithin" : {
"$centerSphere" : [[ 14.4321, -9.4321], 2.5232135647961246e-05]
}
}}, ...}
we could do :
```
$match: {'location':{
"$geoWithin" : {
"$centerSpheres" : [
[[ 14.4321, -9.4321], 2.5232135647961246e-05] ,
[[ 14.4321, -9.4321], 2.5232135647961246e-05],
...
]} }}
1 vote -
$populate stage
Please provide a $populate stage that allows to resolve single referenced documents.
Internally it could use the combination of $lookup and $unwind:Related:
https://stackoverflow.com/questions/37793844/mongodb-how-to-resolve-dbref-on-client-side
1 vote -
Provide straightforward syntax for 1-to-1 joins in aggregation
The syntax for joins that bring back multiple documents from foreign collections is very straightforward and yields exactly what one would expect, but simple joins that are bread and butter in SQL require very convoluted and expensive to run syntax.
Consider a product database that has
products
,categories
andreviews
collections. Each product has a unique category and may have multiple reviews. Getting all reviews in an aggregation is very straightforward (top stage), but getting categories, similar to SQL, is as convoluted as it gets (bottom stage).
…db.products.aggregate( [ // // Document aggregates naturally aggregate foreign documents // into
1 vote
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