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  1. Containerized Functions + Logging + Dependencies Improvements

    I believe most of the below asks would be resolved if you allowed containerized functions to be uploaded and we can have the correct execution environment.
    Allow larger function sizes
    Allow more larger dependency sizes
    Allow 256kb size per log entry
    Allow Unlimited log entries per function execution
    Output formatted logs, don't want to scroll right forever
    Add refresh button for logs
    Log arguments for triggered function automatically
    Don't truncate logs
    Allow logs to be streamed so that you don't need to refresh logs
    Increase execution time to 15-30 minutes
    Allow dependencies to be imported outside of function definition
    Allow…

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  2. More Mongo DB actions parity with the Node driver

    The actions available via https://docs.mongodb.com/realm/mongodb/actions/ do not match the API exposed by the Node driver.

    For example, the https://mongodb.github.io/node-mongodb-native/4.0/classes/collection.html#createindex function would be extremely useful for our use case, I can't see any method for programmatically creating indexes via Realm.

    For example, the https://mongodb.github.io/node-mongodb-native/4.0/classes/collection.html#bulkwrite function returns a completely different type from https://docs.mongodb.com/realm/mongodb/actions/collection.bulkWrite/, making unit testing our realm functions locally extremely difficult.

    I'm unsure what reasons there are for this disparity (especially when I can use the mongo node driver to connect locally to an Atlas cluster, but I can't use any of these methods in our deployed application in Realm).

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  3. Retry function

    We use Realm functions to update related documents in our Mongo Atlas cluster. Sometimes, the DB connection (via context.services.get("mongodb-atlas")) fails. We should... be able to retry establishing a connection? (Or even easier, just configure a retry for the Realm Function itself.)

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  4. External Dependencies Should Be Per Function

    10mb compressed size constraint is very limited. Plus, dependencies are not siloed per function. Either uncap the dependencies constraint or allow dependencies to be uploaded per function, still with a higher compressed size constraint (preferably at least 100mb to support large dependencies such as for image processing).

    I think the thought was "functions are meant to be short running operations" but I think that is a huge assumption. Why not offer options for powerful compute that respond to database change events. Sure you may need to just update something else in the db, and that may be sufficient for some…

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  5. Support mongoose

    Add mongoose to Functions and a place to store mongoose Schemas,

    Also, Realm UI Schema and authorization documentations are not very complete or clear

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  6. Allow upload of large files through Realm Functions

    Right now we have a 30s input timeout on Realm Functions. We can't upload large files.

    Users in my case uploads large images of 20Mbs, and videos ~50Mb.

    Would be great to see this change, right now we are unable to use Realm for that.

    Also, AWS S3 service has a 4MB limitation as noted here, but not sure, I was able to upload a 7.8MB file https://docs.mongodb.com/realm/services/aws

    1 vote

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  7. Add 'Previously Used' column to table of functions

    Add a column indicating when each function was previously used in the functions screen.

    It would also be helpful to have some basic stats about each functions usage, like total usage count, used in last 30 days, and total usage as a % of all function calls.

    This would help you to find which functions are used most to make them as efficient as possible, and to remove ones that aren't used much.

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  8. Expose dbstats / stats in Functions

    Add to the allowable MongoDB actions to be able query the database size, like: db.runCommand({ dbStats: 1, scale: 1 }) or by collection like db.sources.stats()

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  9. Availability of Args in Function Context

    Not sure if this is do-able already or not. Couldn't find documentation.

    I have a function that looks like

    exports = function(dbName, collectionName, pipeline){...

    I want to be able to access the arguments sent to the function in the Can Evaluate JSON expression.

    I assumed it might work like

    {
    "%%args.dbName": "eflex-test"
    }

    but that doesn't seem to work

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  10. Access to %%args in Filters

    Allow the access to %%args in filters. This would make it possible to make the apply_when of filters more dynamic by accessing the incoming queries. As of now, filters are completely static due not having access to any incoming information.

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