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@HyukjinKwon , I was also thinking about holding off on this until 3.0.0
and then make a clean switch. What do you think about that @holdenk ?
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Rerunning tests in case the R CRAN failure was from flakiness
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@cloud-fan, union doesn't really help. I already have support for
mixed-formats working just fine. The format isn't the problem, it is filtering
(and a similar problem with projection). Parquet
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That doesn't look related to these changes, let's try again...
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@hvanhovell @maropu As it turns out, there are at least two places where an
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SimpleTextSource.buildReader, and
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looks like a random failure in spark R, unrelated
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Rerunning tests in case the R CRAN failure was from flakiness
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Thank you for swift updating, @ala .
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@rezsafi, thanks for reviewing. It would be better if the heartbeat wasn't
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@xuanyuanking thanks for the review. I understand that the changes are
broader than what the ticket might imply, but I believe the new implementation
is much simpler to understand and delivers an
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@gatorsmile "In-any-subquery in Pivot can be implemented like what we did
in the other parts", can you make this clearer? The Pivot's "IN" values are
special coz they will later become the
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Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/21145
@cloud-fan and @henryr, do you have an opinion about naming here?
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Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/21040
Jenkins, retest this please.
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