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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/11/15 12:53:00 UTC

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

     [ https://issues.apache.org/jira/browse/BEAM-11266?focusedWorklogId=511928&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-511928 ]

ASF GitHub Bot logged work on BEAM-11266:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 15/Nov/20 12:52
            Start Date: 15/Nov/20 12:52
    Worklog Time Spent: 10m 
      Work Description: nikie opened a new pull request #13350:
URL: https://github.com/apache/beam/pull/13350


   
   This fixes issue BEAM-11266 allowing to use ReadFromMongoDB with MongoDB Atlas by optionally using `@bucketAuto` MongoDB aggregation instead of `splitVector`:
   
   ```
     pipeline | ReadFromMongoDB(uri='mongodb+srv://user:pwd@cluster0.mongodb.net',
                                db='testdb',
                                coll='input',
                                bucket_auto=True)
   ```
   
   This enhancement is based on the solution, provided by Susumu Asaga in this [comment](https://issues.apache.org/jira/browse/BEAM-4567?focusedCommentId=17152256&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17152256) to the issue BEAM-4567, related to Java MongoDB connector.
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 511928)
    Remaining Estimate: 0h
            Time Spent: 10m

> 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: 10m
>  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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