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Atlas Search

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  1. Allow ability to exclude specific fields from Atlas Search

    In order to reduce index size and improve performance, we should be able to exclude specific fields from the Atlas Search index.

    2 votes

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    1 comment  ·  Admin →
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  2. Leverage atlas search indexes in find and count operations

    Currently the documentation wasn't outright clear that Atlas search indexes can only be leveraged through Aggregation operation. It will be great if we can leverage them in find and count operations as well.

    1 vote

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  3. 2 votes

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  4. Add truncate collection button, delete documents older than...

    In the old interface we can truncate collections without using additional software, just using WEB GUI to keep small database size.
    It would be nice to have the ability to delete older documents. This option is usable for IOT or medical implementations (Nightscout).

    2 votes

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  5. 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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  6. profiler search by db

    Currently, the profiler search is for namespace.collection_name. If I would like to see how all collections for a given namespace or DB are behaving it's a very tedious task and not user friendly at all.

    1 vote

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  7. Please support on-prem installations

    Can we get Search on-prem? Is this always going to be an Atlas-only feature?

    67 votes

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    Revisiting this request, MongoDB announced plans to support search and vector search features in both MongoDB Community Edition and MongoDB Enterprise Advanced at .local NYC 2024. Work is underway on bringing these features to our self-managed offerings.


    We anticipate a public preview for search and vector search on MongoDB Community edition later in 2025 and would like to move quickly on making a GA version available towards the end of 2025 or beginning of 2026. Around the time we make search and vector search features GA for MongoDB Community Edition, we anticipate a preview release of these features for MongoDB Enterprise Advanced.


    Great things are in the works! Stay tuned for updates coming soon.

  8. Atlas Search for Online Archive

    As a user of Online Archive, I would like full text search capabilities from Atlas Search available to me.

    6 votes

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  9. Save pipelines to run in aggregation mode

    A Button to save pipeline in aggregation tab and run this saved pipelines.

    7 votes

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    under review  ·  Rez responded

    Danilo – Great idea. We are reviewing it at the moment. Just curious whether you use the agg tab to do adhoc analysis or test queries which you eventually put in your app?

  10. Official React Component for Atlas Search

    One of the reasons Algolia got so popular might be the fact that they provided instantsearch.js. The library was really easy to get started and intuitive to understand.

    I read the Atlas Search's great tutorial(1) and watched the video(2) and cloned the repo FTS_MovieSearch on GitHub. They are really insightful and helpful. Yet, if there is official React component which provides some of (not all) functionalities that instasearch.js offers, that would help Atlas Search to grow.

    (I put "React" in title, but maybe vanilla JS/TS component would be better to consider)

    I used to try setting up Atlas + Elastic…

    4 votes

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  11. Errors When Querying Non-existent Indexes

    I renamed the first index I created when testing out the feature so it wasn't default, and spent quite a bit of time debugging why my queries were returning no documents. As it turns out it the default index that it queries if not defined is "default", but that index didn't exist. Instead of throwing an error about querying a non-existent index, it just returned an empty array which was very frustrating

    9 votes

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  12. Support for nested datatype search

    It appears that Atlas Search does not yet support nested documents in arrays like MongoDB

    https://docs.mongodb.com/v4.2/reference/operator/query/elemMatch/

    41 votes

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  13. Ability to search for a cluster

    As an enterprise we have many projects with many clusters in each project. Our naming convention isn't always standard so it would be helpful to be able to search for a cluster based on part of the cluster name and have the search result tell me in which project the cluster exists.

    1 vote

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  14. 1 vote

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  15. New Analyzers

    Customer is asking about adding new Analyzers language for Polish , Slovenian, Slovak and Croatian .

    5 votes

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  16. Support unstructured text entity recognition

    We have unstructured text and would like Atlas Search to detect important entities so that we can use them for relevance and ranking

    3 votes

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  17. Support additional highlighting options

    Right now Atlas Search highlighting only supports text in the sentence surrounding a match, ignoring any other sentences in a field that have also been indexed.

    I would like to be able to change the default behavior to meet my needs.

    6 votes

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    under review  ·  1 comment  ·  Admin →
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  18. Search Page User Interface

    We would like to have a search page that automatically hooks up our Atlas Search indexes to our application.

    2 votes

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  19. Run aggregation pipelines on dedicated resources

    When dealing with large collections(my usecase is 2billion+) it would make sense to run these aggregation's on dedicated resources like Azure Functions(my guess is that currently the aggregation pipelines are run(and somehow throttled) on the same resources as the cluster runs.

    Not sure how much are the aggregations internally tied to how the data is stored(maybe they are somehow taking advantage of that) but if its straight up pipe with filters and aggregations on top of it, this would be a huge step to allow using Mongo as Big Data Platform, since it would allow reasonable scaling of the pipeline…

    1 vote

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  20. toggle or autohide left side menu and upper menu while

    add a toggle button to minimize the width of menus taking the larger part of the screen while working with a specific cluster.

    2 votes

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