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https://issues.apache.org/jira/browse/BEAM-11266?focusedWorklogId=515713&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-515713
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ASF GitHub Bot logged work on BEAM-11266:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Nov/20 18:48
Start Date: 23/Nov/20 18:48
Worklog Time Spent: 10m
Work Description: y1chi commented on pull request #13350:
URL: https://github.com/apache/beam/pull/13350#issuecomment-732355028
Run Python MongoDBIO_IT
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Issue Time Tracking
-------------------
Worklog Id: (was: 515713)
Time Spent: 2.5h (was: 2h 20m)
> 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: 2.5h
> 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:[email protected]',
> db='testdb',
> coll='input',
> bucket_auto=True)
> {code}
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