Atlas Search

  1. 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.

    1 vote

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  2. Allow $match or $sort stages that follow the $search stage to use MongoDB native indexes

    Currently, if there are $match or $sort stages that follow the $search stage, then those $match and $sort stages are unable to use MongoDB's native indexes on the fields being matched/sorted.

    While the documentation recommends 1) designing your $search query so that all necessary filtering occurs in the $search stage which removes the need for a $match stage and 2) instead of using a $sort stage, using the $near operator to sort documents based on a numeric, date, or geo field, such changes are not always feasible depending on the use-case. In such instances, having a $match and …

    1 vote

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  3. Allow to create Atlas Search index on a not existing collection

    Currently it is not possible to create an Atlas Search index on a not existing collection, this makes more complicated to automatise the index creation on new clusters (e.g. via terraform).

    Would be nice to allow the implicit collection creation when creating an Atlas Search Index.

    3 votes

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  4. Percolator/reverse search

    Ability to store queries that allow you to supply a document and return the queries that match it.

    1 vote

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  5. Automatically recreate Atlas Search indexes on a collection after the collection is dropped and recreated or overwritten

    Currently, if you use the $out aggregation stage to modify a collection with an Atlas Search index, you must delete and re-create the search index. Also, if another collection is renamed with dropTarget:true to an existing collection that already has Atlas Search indexes on it, then it is necessary to recreate the Atlas Search indexes after the collection rename completes (which involves dropping the original collection).

    This is a feature request to automatically recreate the pre-existing Atlas Search indexes on a collection after that collection is dropped and recreated (using either $out or renameCollection).

    2 votes

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  6. wildcard path support for range operator

    Currently wildcard path can be constructed to 4 operator(text, phrase, wildcard and regex). Some use cases will be there to use the wildcard path for numeric which can be used by range operator

    { a : { "6578ghg" : { value : "not 55" } } }
    { a : { "9578uhg" : { value : 55 } } }

    Above 2 document if we have dynamic mapping of search index and below query cannot be used as range does not support wildcard in path:

    db.dates.aggregate([ { $search :{ index:"synonyms", compound:{filter:[{text:{query:"55",path:{wildcard:"metadata.*.value"}}},{range:{gte:55,lte:55,path:{wildcard:"metadata.*.value"}}}]}}}])
    

    Is there any plans/restriction for adding wildcard path support…

    2 votes

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  7. 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 MongoCLI.

    3 votes

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  8. Allow the option to mention the number of search results needed

    I would like to get only the top scored 1000 or 2000 records while doing the search. Currently this is 2 step process : $search and then use the $limit stage.

    2 votes

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  9. 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.

    3 votes

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  10. API to list all Atlas Search Indexes configured across all collections in the cluster

    Currently, there is an API to list all Atlas Search indexes configured for a specific collection. However, there is no API that lists all Atlas Search indexes configured across all collections across all databases, in a particular cluster. The Atlas UI shows this, but the Atlas API does not have that functionality.

    This is a feature request to add the API capability to list all Atlas Search indexes configured on all collections in a cluster.

    2 votes

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  11. 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 vote

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  12. Target $search queries to specific shards

    Currently, sharded $search queries are scatter-gather queries and they cannot be targeted to specific shards. This is an enhancement request to target $search queries to specific shards, and thereby make them more efficient/performant.

    13 votes

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  13. 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 vote

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  14. Atlas search to provide the ability to query number (long/double) fields

    When querying mongo using atlas search, today it requires that the query parameter be a string. Ideally, I would like to be able to also search using numbers. Our stakeholders want the ability to type into a dropdown select field , type a number, and have it pull back a list of data.

    Today, we are using atlas search to query against a multiple set of fields, and pull back the most relevant results. It would be nice to include number fields as part of our index in order to allow those same stakeholder the ability to query by the…

    8 votes

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  15. Add Atlas Search metrics into integration with Datadog

    Problem Statement,
    Atlas Search metrics (https://docs.atlas.mongodb.com/view-atlas-search-metrics#atlas-search) are not sent to Datadog (Datadog's MongoDB Atlas integration (https://docs.datadoghq.com/integrations/mongodb_atlas/)).

    Proposal,
    Add Atlas Search metrics to Datadog integration (start sending Atlas Search metrics from Atlas to Datadog).

    2 votes

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  16. 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,…

    5 votes

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  17. Don't require path on search queries

    It would be nice if a path defaults to all paths in the index. For example, imagine I have a customers collections with the fields "firstName" and "lastName" and I want to create a search based on user's full name. Then I create a search index on these two fields. Now imagine I call this index "fullNameSearch". Then whenever the "fullNameSearch" index is used, I want to run it on all paths. Instead of me having to specify the paths, it would be nice if the path defaults to all fields used in the index.

    Another example where this would…

    1 vote

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  18. Allow queries with $search to be covered by the Lucene indexes without loading from disk in Mongo

    If the fields to be filtered on or projected on are all in the Lucene index, it would give the best latency to be able to return the data from the Lucene index only, and not have to separately look that data up from the Mongod

    2 votes

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  19. 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

    2 votes

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  20. Autocomplete with `fuzzy` scores all results as `1`

    Using autocomplete with the fuzzy operator returns results, but they are scored all with the same value (1). This has been reported a couple times in the developer forum as well:

    https://developer.mongodb.com/community/forums/t/fuzzy-autocomplete-score/13341/4

    https://developer.mongodb.com/community/forums/t/trying-to-understand-atlas-search-autocomplete-result/13819

    This can make it difficult to process and rank results on the client side, especially for high volumes of returned documents. It would be helpful if autocomplete + fuzzy would support relative scoring.

    1 vote

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