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aromanenko-dev commented on issue #11090: [BEAM-9470]
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alexvanboxel commented on issue #11074: Store logical type values in Row
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> @alexvanboxel this will conflict badly with your PR I think (as you moved
code into a new file, which makes merges
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commit 52419e93ee9fa8c823eb505c472969fc7849e247
Merge: 9ee3724 8b653b4
Author: Alexey Romanenko
aromanenko-dev merged pull request #10815: [BEAM-9279] Make HBase.ReadAll based
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URL: https://github.com/apache/beam/pull/10815
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iemejia commented on issue #10815: [BEAM-9279] Make HBase.ReadAll based on
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Thanks Alexey!
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aromanenko-dev commented on issue #10815: [BEAM-9279] Make HBase.ReadAll based
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Thanks! It LGTM, just let's wait for all tests passed before merging.
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iemejia commented on a change in pull request #10815: [BEAM-9279] Make
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alexvanboxel commented on issue #10413: [BEAM-9035] Typed options for Row
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URL: https://github.com/apache/beam/pull/10413#issuecomment-601039811
> @alexvanboxel I'm still not 100% sure that I agree that options are not
schemas, and I don't love making SchemaVerification
Tesio commented on issue #10914: [BEAM-8078] streaming_wordcount_debugging.py
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echauchot commented on issue #11135: Add spark structured streaming runner to
GBK load tests
URL: https://github.com/apache/beam/pull/11135#issuecomment-601050524
@lgajowy @mwalenia thanks again for the great performance framework you made
! It is complementary to Nexmark. Indeed nexmark
iemejia commented on issue #10815: [BEAM-9279] Make HBase.ReadAll based on
Reads instead of HBaseQuery
URL: https://github.com/apache/beam/pull/10815#issuecomment-601080539
Changes done, I rebased since the PR was a bit old. It should be good to go
now. PTAL @aromanenko-dev !
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@mwalenia at least the tests passed
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aromanenko-dev merged pull request #11090: [BEAM-9470]
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kamilwu commented on issue #11092: [BEAM-9085] Fix performance regression in
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I think branching the generation makes the most sense, since Py2 deprecation
in Beam is closer than ever. I'll try to go back
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steveniemitz edited a comment on issue #11154: [BEAM-1819] Key should be
available in @OnTimer methods
URL: https://github.com/apache/beam/pull/11154#issuecomment-601226883
> Thank you @steveniemitz for catching this bug. Can you please mention how
can I reproduce it so that I can fix
steveniemitz commented on issue #11154: [BEAM-1819] Key should be available in
@OnTimer methods
URL: https://github.com/apache/beam/pull/11154#issuecomment-601243984
seems like this is broken/unsupported in dataflow:
```
java.lang.ClassCastException: java.lang.String cannot be
steveniemitz edited a comment on issue #11154: [BEAM-1819] Key should be
available in @OnTimer methods
URL: https://github.com/apache/beam/pull/11154#issuecomment-601243984
seems like this is broken/unsupported in dataflow:
```
java.lang.ClassCastException: java.lang.String
steveniemitz commented on issue #11154: [BEAM-1819] Key should be available in
@OnTimer methods
URL: https://github.com/apache/beam/pull/11154#issuecomment-601221088
I think the type check for `@KeyId` breaks if the key is generic. I was
trying this out and got:
```
steveniemitz commented on issue #11154: [BEAM-1819] Key should be available in
@OnTimer methods
URL: https://github.com/apache/beam/pull/11154#issuecomment-601226883
> Thank you @steveniemitz for catching this bug. Can you please mention how
can I reproduce it so that I can fix this.
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