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  1. Tell people that mixing V1 and V2 config files in the same project (note: even outside the gen2 function) will create a port and container error. Right now you don't mention in the docs or anywhere that having ANY function.config files in a project with a gen 2 function will cause a deploy error that says a container is broken and the port is unreachable. This error is misleading. It will also show the gen 2 function in the console as "unknown trigger" which also is misleading.

    In all your documentation you say you can have gen1 and gen2 functions…

    1 vote

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  2. firebase is not updateing to blaze plan i already have an verified billing account you should have to give more information about how to setup properly

    1 vote

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  3. muchas veces flutterflow no permite desplegar cloudFuctions y es muy importante el poder crear cloudFuctions desde flutterflow

    1 vote

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  4. Right now, a Firebase function can only accept a request payload size up to 32Mb.
    Using it as webhook for some external APIs, we would need to have no limits or at least 100Mb limit

    1 vote

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  5. Right now, a Firebase function can only accept a request payload size up to 32Mb.
    Using it as webhook for some external APIs, we would need to have no limits or at least 100Mb limit

    2 votes

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  6. firebase currently has two firebase auth triggers:
    functions.auth.user().onCreate()
    functions.auth.user().onDelete()

    I would like a trigger to respond to onLinkWithCredential so that I can update the user document in the user collection with the additional/changes from the new auth method

    2 votes

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  7. When deploying multiple cloud functions at once via

    firebase deploy --only functions

    we frequently run into quota issues like:

    • functions: got "Quota Exceeded" error while trying to update projects/.... Waiting to retry...

    It never retries though.

    It would make it way easier if you could add an argument to the deployment command like:

    firebase deploy --only functions --chunked 50

    3 votes

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  8. By default HTTP Firebase Functions are made public. In Google Console they are marked as "Allow unauthenticated" because they will allow all callers, without checking authentication.

    I would like an option to deploy them privately.

    Example:

    const privateFunction = onRequest(
    {
    allowUnauthenticated: false,
    },
    (req, res) => {
    res.status(200).send(req.body);
    },
    );

    2 votes

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  9. In the same way, we have onCreate and onDelete, it will be very helpful to have an onUpdate option. For example, so we can react to an email address change.

    12 votes

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  10. We need to be able to insert a new document, update an existing document or delete a document in an ordered list of about 1000 documents. We are doing this using a linked list. Firebase does not offer linked list functionality.

    0 votes

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  11. Checking app

    0 votes

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  12. Functions is behind paywall, (it is still free for some limit in Blaze plan), but IF i upgrade to Blaze, then Cloud Storage, Hosting etc starts to charge right away, even in free plan they have free limits but once switched to Blaze it starts to charge. So to get free Functions, i have to pay cloud storage and hosting and more.

    For any playground project that is not gonna hit market or earn money, how i am supposed to try/learn functions? This forces me to move away from platform

    4 votes

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  13. Currently using 2nd gen cloud functions requires having the default Compute Engine Service Account and there is no way to use custom service account.

    Not all projects have the service account or have any means to re-create the default SA if it has been deleted at some point and using default service accounts is anyway something that is not recommended by Google. So currently not all can move to using 2nd gen cloud functions unless support for using custom SA is added.

    5 votes

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  14. In this code await admin.auth().createUser({
    email: email,
    displayName: name,
    uid: uid,
    emailVerified: false,
    password: password,
    disabled: false,
    });, if email and password are created, please create the user via that login method and if only phone is provided and no email, then let the user be created via phone auth. So that later on, when they try to sign in via phone auth, the system doesn't create a whole new user with a new uid but just lets the user sign into that account

    3 votes

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  15. Right now it is only possible to write functions in main.py, which very quickly gets overwhelmingly large. It would be good to be able to organize code into multiple files.

    2 votes

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  16. Allow for deployments to be either a green or blue deployment to be able to have multiple instances of the same functions deployed within a single Firebase project.

    This would help cover the gap of time between releases of client apps and Cloud Functions, which if not handled correctly cause production issues.

    2 votes

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  17. I am deploying using the Firebase CLI with Next.js. I find it incredibly effective and I am very grateful for it, however, I've encountered a bit of a problem.

    When running code with SSR that requires a certain package, an error occurs and I'm unable to proceed.

    Is it possible to use a Dockerfile or a Docker container image that I've prepared myself?

    Thank you very much for your assistance.

    1 vote

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  18. There should be unit testing for python functions like we have unit testing for typescript here: https://firebase.google.com/docs/functions/unit-testing.

    2 votes

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  19. An article and youtube video explains how to optimize cold boots by updating dependencies to 'commonly used versions' as this will increase the chance that the dependencies can already be found in the 'dependencies cache'.

    https://medium.com/@duhroach/improving-cloud-function-cold-start-time-2eb6f5700f6

    This is quite vague and a bit hard to reason about. Would it be possible to see a list of package names and version info for all packages in the dependencies cache?

    5 votes

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  20. To implement userfriendly generative AI applications it is import to stream data produced by LLMs back to the users browser. Firebase currently buffers all content and only returns when data is complete. Is the firebase team planning to implement this?

    4 votes

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