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https://issues.apache.org/jira/browse/BEAM-10962?focusedWorklogId=493236&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-493236
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ASF GitHub Bot logged work on BEAM-10962:
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Author: ASF GitHub Bot
Created on: 01/Oct/20 00:03
Start Date: 01/Oct/20 00:03
Worklog Time Spent: 10m
Work Description: boyuanzz commented on pull request #12930:
URL: https://github.com/apache/beam/pull/12930#issuecomment-701708484
Expect what Cham has mentioned, another thing is current implementation of
`MultipleReadFromPubSub` only can configure multiple `ReadFromPubSub` with the
same attribute, like the same `with_attributes`, `timestamp_label`, `id_label`,
which is not ideal. Given that `ReadPubSub` is a native transform for Dataflow,
having `MultipleReadFromPubSub` seems like the only solution for now. I'm
thinking we could create a `PubSubSourceDescriptor` which includes `topic`,
`subscription` and other attributes. And we expose `add` API from
`MultipleReadFromPubSub` to allow end users to add a new Read.
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Issue Time Tracking
-------------------
Worklog Id: (was: 493236)
Time Spent: 2.5h (was: 2h 20m)
> Multiple PubSub Source Reader
> ------------------------------
>
> Key: BEAM-10962
> URL: https://issues.apache.org/jira/browse/BEAM-10962
> Project: Beam
> Issue Type: New Feature
> Components: io-py-gcp
> Reporter: Inigo San Jose Visiers
> Priority: P2
> Time Spent: 2.5h
> Remaining Estimate: 0h
>
> A very common use case in Dataflow / Beam is reading from multiple PubSub
> topics/subscriptions and flatten them out.
> I would be nice to have a PTransform that does this without users having to
> built it themselves.
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