Atlas

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  1. Save pipelines to run in aggregation mode

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

    5 votes

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  2. Total Document count on Filter

    It's a very small feature but very useful with respect to use case, whenever someone filters on Atlas nowhere it shows the total number of result we got, till we didn't reach the last page so it's very useful if we can see the total number of records at least after filtering or it will be great if it is visible on each page.

    3 votes

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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 1 vote

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  10. More useful query error

    When you enter a query, if there is any kind of syntax error, you get dumped to a page where your only option is to return to clusters. Then you need to renavigate to your db and collection to attempt a new query.

    This is really frustrating as instead of just being able to go back and correct your mistake, you must start writing the query again from scratch.

    Why not put users back where they were and restore the query they were attempting so it can be easily fixed? Or better yet, check the query before you try to…

    1 vote

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