159 results found

1. Improve the Search Playground
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2. Atlas Search aggregation pipeline TypeScript type definitions

   It would be so much easier to write aggregation pipelines if we had type checking and type hinting.

   At this moment we can pass any JSON there. There is no driver or library that would check if it's correct or that would type check the input.

   I'm attaching some screenshots that show how it could work.

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   3 votes

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3. Atlas Search for time series collections

   It would be nice if we could use atlas search on a time series collection

   1 vote

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4. Ability to see token output for index and query
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   0 comments  ·  Search Playground  ·  Delete…  ·  Admin →
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5. Provide the ability to auto-scale dedicated search nodes

   Currently, dedicated search nodes in Atlas Search cannot be auto-scaled. This is a feature request to introduce the ability to auto-scale dedicated search nodes.

   6 votes

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6. Mutli-select faceting / facets should not affect their own filter field

   I want to build multi-select facet without having to run separate queries to calculate bucket counts for each active filter. Described in detail here: https://yonik.com/multi-select-faceting/

   11 votes

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7. Increase the disk size limit of 3.2 TB on Search tier.

   Atlas search tier limits the disk size to 3.2 TB even on the highest search tier S110.

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8. Compatibility with shard reduction

   We are using Atlas Search (as a sidecar process) and aren't able to reduce the number of our shards without causing downtime to Atlas Search. A shard mechanism that's compatible with Atlas Search is necessary for us to optimize our costs.

   2 votes

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9. allow atlas search for serverless instances

   As of now, atlas search is not allowed for serverless instances, but many people using serverless instances and they atlas search to perform some advanced search queries.

   1 vote

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10. Text Analysis for Field Mappings

    Show how an indexed document and query terms get analyzed to produce tokens based on my field mapping configuration.

    2 votes

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11. expose json schema when doing dynamic mapping

    It would be really helpful to see the json schema when doing dynamic mapping so I’ll be able to alter it according to my needs. Building everything from scratch takes a lot of time.

    I use the json editor. I want to index a lot of fields and some of the fields contains arrays and documents that I want to index as well. Writing the schema to index all the fields takes a lot of time. When I do dynamic indexing I know that you have the schema in the backend. It will be very helpful to expose this schema to users

    It would be really helpful to see the json schema when doing dynamic mapping so I’ll be able to alter it according to my needs. Building everything from scratch takes a lot of time.

    I use the json editor. I want to index a lot of fields and some of the fields contains arrays and documents that I want to index as well. Writing the schema to index all the fields takes a lot of time. When I do dynamic indexing I know that you have the schema in the backend. It will be very helpful to expose this schema… more

    2 votes

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12. Atlas search Index is not updating.

    Each time I perform CRUD operations in my collection, the Search Index doesn't update immediately. Instead, it takes a considerable amount of time. This issue significantly hampers the progress of my project. Any suggestions for improvement would be greatly appreciated.

    1 vote

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13. Allow faceting on boolean fields

    Right now you can only facet on string, number, date fields.
    https://www.mongodb.com/docs/atlas/atlas-search/facet/#facet-definition

    I would like to also be able to facet on boolean fields.

    14 votes

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    AdminAmy (Admin, MongoDB) responded

    You can now transform documents for Atlas Search, enabling you to index and query Boolean fields as a String to support faceting. See how here.

14. Improve Search Query Templates in Search Tester
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15. Support highlights in embeddedDocuments autocomplete

    According to docs, currently it is not possible to get highlights inside embeddedDocuments, in autocomplete requests.

    This makes array of objects (embeddedDocuments) autocomplete unusable in our use case.

    3 votes

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16. Add Atlas Search for Enterprise Advanced

    Due to customer/project constraints, I need to have the ability to use $search to query millions of historical data records with regex and wildcards queries at real-time, on a Enterprise Advanced environment.

    The data cannot be exported to Atlas and it cannot depend on Internet connection, so the functionality must be On-Premises only.

    3 votes

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17. Atlas Search on serverless instances

    Hi,

    I'd like to use Atlas Search on Atlas Serverless.

    24 votes

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18. Sort by a specific array index

    When creating indexes and sorting with "normal" queries, it is possible to index/sort on a specific array index (e.g. foo.0.bar). I do this because the search results grid in our UI only has room to show the first foo.bar result, so it doesn't make sense visually to sort by additional objects which the user can't see.

    Since the new Atlas Search Sort syntax looks the same, I was hoping to do that with it as well, but it doesn't seem possible.

    Example:

    [
      { "xyzzy": "xyzzy",
        "foo": [ { "bar": "A" } ] },
    
      { "xyzzy": "xyzzy",
        "foo": [ { "bar": "B" }, { "bar": "D" } ] },
    
      { "xyzzy": "xyzzy",
        "foo": [ { "bar": "C" } ] }
    ]
    

    {
      index: "myindex",
      returnStoredSource: true,
      phrase: { path: "xyzzy", query: "xyzzy" },
      sort: { "foo.0.bar": -1 }
    }
    

    See: https://support.mongodb.com/case/01169701

    When creating indexes and sorting with "normal" queries, it is possible to index/sort on a specific array index (e.g. foo.0.bar). I do this because the search results grid in our UI only has room to show the first foo.bar result, so it doesn't make sense visually to sort by additional objects which the user can't see.

    Since the new Atlas Search Sort syntax looks the same, I was hoping to do that with it as well, but it doesn't seem possible.

    Example:

    [
      { "xyzzy": "xyzzy",
        "foo": [ { "bar": "A" } ] },
    
      { "xyzzy": "xyzzy",
        "foo": [

    … more
    3 votes

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19. Data type coercion when document field type doesn't match index field type

    When a document field type doesn't match the index field type, it seems to be indexed as "blank" and won't match anything. Many data types are readily convertible between type representations. It would be great if Atlas Search could do that for us and would open up richer functionality by allowing us to use operators/analyzers/etc. on types that don't normally support them.

    My particular use case is to allow searching & sorting on numbers stored as strings. When creating indexes and sorting with "normal" queries, it is possible to sort numbers stored as strings by their numerical ordering rather than alphabetical by using { collation: { locale: "en_US", numericOrdering: true } } on the index definition and applying query.collation(Collation.of(Locale.US).numericOrdering(true)) to the query itself. I was hoping to do this with Atlas Search Sort as well, but it isn't possible.

    Examples:
    string "1000.00" = number 1000.00
    boolean true = number 1
    boolean true = string "true"
    etc.

    See: https://support.mongodb.com/case/01169737

    When a document field type doesn't match the index field type, it seems to be indexed as "blank" and won't match anything. Many data types are readily convertible between type representations. It would be great if Atlas Search could do that for us and would open up richer functionality by allowing us to use operators/analyzers/etc. on types that don't normally support them.

    My particular use case is to allow searching & sorting on numbers stored as strings. When creating indexes and sorting with "normal" queries, it is possible to sort numbers stored as strings by their numerical ordering rather than… more

    2 votes

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20. Support ObjectID as a datatype for search facets

    I'm really interested in using search facets to boost search performance, but one of the fields that I want to filter by is an ObjectId.

    I believe the only supported facet types are [date, numberFacet, stringFacet].

    21 votes

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    AdminAmy (Admin, MongoDB) responded

    You can now transform documents for Atlas Search, enabling you to index and query (including `facet`) ObjectID fields as a String. See how here .