Atlas Search
58 results found
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Allow aggregate pipeline on input documents before Atlas Search indexing
If Altas Search allowed us to apply an aggregate pipeline to input documents before they are sent to Atlas Search for indexing, it would open up a TON of new possibilities not currently supported. We could do data transformations, type conversions, synthetic fields, etc.. I've opened up a number of other suggestions for these things, but an input aggregate pipeline could solve all of them in one "easy" solution. Since aggregate pipelines already exist and are deeply embedded in MongoDB, I'm hoping it would be trivial to implement as well. Simply pick up one or more new documents to be…
5 votesThis feature is now available in Public Preview. Read the docs here.
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Allow sort by boolean fields
When creating indexes and sorting with "normal" queries, it is possible to index/sort on a boolean field. I was hoping to do this with Atlas Search Sort as well, but it only supports date, number and token (string).
While workarounds are available (using custom scoring), these are not easily combined with multiple sort fields and make programmatically building a query vastly more complex.
3 votesThis work has been completed; see changelog and documentation.
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Support sorting by the search relevance when custom sorting search results.
Our search index is mostly data, so we get a lot of documents with identical search relevance. We would like to use the newly announced sort feature, but we need to retain the sort relevance (score) as the primary sort criterion. We want to additionally specify reverse chronological order as the secondary criterion. Adding the missing ability to also sort by the score would solve our need.
2 votesCompleted in our September release. See changelog here.
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case insenstive sorting in atlas search
we need a way to get results back from an atlas search that will be case-insensitive.
currently, we need to index many columns with an upper option just to cover this need.
we looking for the same level of support that ELK has.2 votesThis can be achieved by using the normalizer: lowercase option in the token field mapping. See Case-Insensitive Sort tutorial here.
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Dedicated search nodes
Currently, Atlas Search (mongot) is collocated with Atlas (mongod) on the same database deployment. Today, I have to size their workload based on both search and database requirements, which introduces the possibility of resource contention between their database and search deployment. I'd like to scale my search deployment independently of my database deployment.
13 votesDedicated search nodes have been delivered for GCP and AWS. Azure will ship soon.
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Support querying with numeric arrays (like $in)
I want to be able to query for multiple numbers in the same query without having to specify separate “range” clauses (or “equals” when they are supported with numbers).
ie. I want to be able to query for [1, 2, 3] and any document which matches 1, 2, or 3 gets returned.5 votesIncluded in our May 26th release, see docs and changelog here
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Add storedSource parameter to atlas admin API search index create/update to use with terraform
Right now it is impossible to create atlas search index via terraform with "storedSource" parameter. This brings a lot of inconvenience and configuration-related bugs.
Related issue
https://github.com/mongodb/terraform-provider-mongodbatlas/issues/871
15 votesStored Source Parameter in mongodbatlas_search_index resource and data source has now been released in Terraform. Users will need to upgrade to latest Terraform Atlas provider to be able to use.
For more details see here: https://registry.terraform.io/providers/mongodb/mongodbatlas/latest/docs/resources/search_index#stored_source
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Allow faceting for embeddedDocuments
At the moment embeddedDocuments does not allow number or date faceting.
In my opinion, this does not make the operator useful, since Faceting is now the standard for every search.
21 votesFaceting on numbers and dates in arrays (including embeddedDocuments) is now supported. You must remove any `numberFacet` and `dateFacet` field mappings, and use the `number` and `date` field mapping types instead.
See Changelog.
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Extending Range operator support to ObjectId values
If the Range operator supports ObjectId, it'll be really useful for the application that sorts or paginates data using _id, since _id is sorted by default.
9 votesThis work has been completed; see changelog and documentation.
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Faster Sorting with Atlas Search
I am looking to achieve a faster sort when using Atlas Search.
Please comment if you tried Stored Source Fields and it did not meet the performance you were looking for.
Stored Source Fields Docs:
Index - https://www.mongodb.com/docs/atlas/atlas-search/stored-source-definition/
Query - https://www.mongodb.com/docs/atlas/atlas-search/return-stored-source/46 votesSort in Search is now GA -- see changelog here for documentation.
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MongoDB University Course on Atlas Search
I'd like to see a MongoDB university course on Atlas Search
3 votesVisit our university course here: https://learn.mongodb.com/courses/mongodb-atlas-search
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Allow autocomplete on nested document field
Although I can index a nested field using the autocomplete type, it does not return any results when queried.
Here's an example snippet from an index definiton:
"Customers": { "dynamic": false, "fields": { "Name": { "foldDiacritics": true, "maxGrams": 8, "minGrams": 3, "type": "autocomplete" } }, "type": "document" },In the above example, for a customer named "John Smith" I'd expect to get a result for "joh" when querying on the Customer.Name path. But I currently get no results.
1 vote -
Allow $elemMatch inside $search
When searching array of objects inside document, it'll be useful if we have a similar operator like $elemMatch
4 votesCompleted, view changelog for more info
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Allow indexing and querying for null datatype in Atlas Search
The null datatype is not amongst the datatypes that Atlas Search supports at this time. As a result, if the use-case is to perform a text search on some fields and perform an equality/inequality check on other field(s) to see if it is/isn't null, then we need to have a $match stage following the $search stage, which is detrimental to the query performance as documented here. This is an enhancement request to allow indexing and querying for null datatype in Atlas Search, to avoid the above scenario.
47 votesThis work is now complete. Update your search index to search for null using the Atlas Search equals operator on any field that is statically or dynamically indexed.
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Add ability edit query syntax in Atlas UI
Right now you can only test simple queries in the Search Tester. I'd like to edit the query syntax to test more complex queries without the need to connect the cluster through Mongo Shell.
6 votesYou can now edit the Search Tester query to run any $search query.
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Allow autocomplete search on an array of strings
Currently, one can't use the autocomplete type to index fields whose value is an array of strings. This is a feature request to allow autocomplete indexing and searching on an array of strings.
17 votesCompleted, view changelog for more info
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Reverse Search using edgeGram in autocomplete searches
For searching on the last few characters of a field's values, currently the only option available is to create a nGram or need to create a custom analyzer with regex split/capture group.
As lucene internally has the reverse option available, can we have reverse flag provided with edgeGram to perform searches from the end?
Use case:
Lets suppose the field is tokenNumber and we usually search by the last 5 digits of the tokenNumber itself.
1 voteWe recently released support for this feature in our latest autocomplete improvements: https://docs.atlas.mongodb.com/reference/atlas-search/autocomplete/
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Add support for creating and editing Custom Analyzers via the Visual Editor
The Visual Editor currently does not support creating or editing custom analyzers. This is a feature request for adding support for creating and editing Custom Analyzers via the Visual Editor.
1 voteCustom Analyzers are now supported in the Visual Index Builder (changelog).
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Functionality that provides details of how a score was calculated for an individual document
Every document returned by an Atlas Search query is assigned a score based on relevance. Many factors can influence a document's score, including the position of the search term in the document, the frequency of occurrence of the search term in the document, the type of operator the query uses, the type of analyzer the query uses, etc.
We do have an explain functionality in Atlas Search, which returns information about the $search query plan and execution statistics. The results returned by explain("executionStats") has a section on score, which provides statistics related to scoring documents in the result set. However,…
14 votes[Changelog] Added scoreDetails boolean option to retrieve a detailed breakdown of the score for each document in the query results.
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support for the storage and high speed search of dense vectors (i.e. word embeddings)
One feature I would like to see in mongoDB is the support for the storage and high speed search of dense vectors (i.e. word embeddings). This feature, in combination with full text search, would bring mongoDB within parity with Elasticsearch and help us simplify our architectures for these types of solutions.
https://www.elastic.co/blog/text-similarity-search-with-vectors-in-elasticsearch
12 votesAtlas Vector Search is now available as a public preview in MongoDB Atlas.
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