[jira] [Updated] (BEAM-11266) Cannot use Python MongoDB connector with Atlas MongoDB

["Anonymous (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-11266?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anonymous updated BEAM-11266:
-----------------------------
    Status: Triage Needed  (was: Resolved)

> Cannot use Python MongoDB connector with Atlas MongoDB
> ------------------------------------------------------
>
>                 Key: BEAM-11266
>                 URL: https://issues.apache.org/jira/browse/BEAM-11266
>             Project: Beam
>          Issue Type: Bug
>          Components: io-py-mongodb
>    Affects Versions: 2.25.0
>         Environment: Google Cloud Dataflow
>            Reporter: Eugene Nikolaiev
>            Assignee: Yichi Zhang
>            Priority: P2
>              Labels: mongodb, python
>             Fix For: 2.27.0
>
>          Time Spent: 2h 50m
>  Remaining Estimate: 0h
>
> Cannot use the Python MongoDB connector with a managed Atlas instance. The current implementations makes use of splitVector which is a high-privilege function that cannot be assigned to any user in Atlas. Getting error:
> {code:java}
> pymongo.errors.OperationFailure: not authorized on properties to execute command
>  { splitVector: "properties.properties", keyPattern: { _id: 1 },
> ...{code}
> BEAM-4567 addressed the same issue in Java connector.
> Proposed solution for Python is to add {{bucket_auto}} option for the connector which would configure it to use {{@bucketAuto}} MongoDB aggregation instead of {{splitVector}} command:
> {code:java}
> pipeline | ReadFromMongoDB(uri='mongodb+srv://user:pwd@cluster0.mongodb.net',
>                            db='testdb',
>                            coll='input',
>                            bucket_auto=True)
> {code}



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