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thanks, merging to master!
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Ngone51 commented on pull request #32590:
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thanks all!
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gengliangwang closed pull request #32590:
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Thanks, merging to master
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HyukjinKwon closed pull request #32600:
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Merged to master.
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MaxGekk commented on pull request #32574:
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@gengliangwang @HyukjinKwon Could you take a look at the PR, please.
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allisonwang-db commented on a change in pull request #32606:
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##
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##
@@ -215,6 +217,27 @@ abstract class
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MaxGekk commented on pull request #32574:
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@cloud-fan Any objections to the changes?
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itholic commented on a change in pull request #32546:
URL: https://github.com/apache/spark/pull/32546#discussion_r636625094
##
File path: docs/sql-data-sources-orc.md
##
@@ -172,3 +172,29 @@ When reading from Hive metastore ORC tables and inserting
to Hive metastore ORC
chrismbryant commented on pull request #27278:
URL: https://github.com/apache/spark/pull/27278#issuecomment-845642088
@HyukjinKwon Thanks, here's that ticket:
https://issues.apache.org/jira/browse/SPARK-35480
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Nice, LGTM2
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yaooqinn commented on a change in pull request #32600:
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dongjoon-hyun commented on a change in pull request #32610:
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##
File path:
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##
@@ -250,11 +250,21 @@ private[spark]
dongjoon-hyun edited a comment on pull request #32546:
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Thank you, @itholic and @HyukjinKwon . The refactoring idea looks good to
me. I commented only a technical issue about the link usage. I'll leave this to
dongjoon-hyun commented on pull request #32546:
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Thank you, @itholic and @HyukjinKwon . The refactoring idea looks good to
me. I commented only a technical issue about the link usage.
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##
File path: python/pyspark/sql/readwriter.py
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@@ -793,28 +793,13 @@ def orc(self, path, mergeSchema=None,
pathGlobFilter=None,
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Thank you for pinging me, @HyukjinKwon .
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xinrong-databricks commented on a change in pull request #32611:
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##
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#
import numbers
-from typing import TYPE_CHECKING,
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@HyukjinKwon Certainly, examples are added.
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HyukjinKwon commented on pull request #32595:
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@Kimahriman would you mind describing what behaviour change (bug fix)
happens in "Does this PR introduce any user-facing change?"? The fix itself
looks making sense but it
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cloud-fan commented on pull request #32391:
URL: https://github.com/apache/spark/pull/32391#issuecomment-845616002
To add a bit more color: The static size estimation in Spark is usually
underestimated, due to things like file compression. We can set the AQE
broadcast threshold a bit
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weixiuli commented on pull request #32571:
URL: https://github.com/apache/spark/pull/32571#issuecomment-845613438
Thank you so much ! @HyukjinKwon @srowen @mridulm
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maropu commented on a change in pull request #32616:
URL: https://github.com/apache/spark/pull/32616#discussion_r636598360
##
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##
@@ -231,9 +231,10 @@ class Dataset[T] private[sql](
case _ =>
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itholic commented on pull request #32516:
URL: https://github.com/apache/spark/pull/32516#issuecomment-845603789
Thanks for all the reviews :-)
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ulysses-you commented on pull request #32391:
URL: https://github.com/apache/spark/pull/32391#issuecomment-845603097
@Gabriel39 I guess you misunderstand the logic of AQE.
> AQE should not optimize it to other join type since static stats (e.g
sizeInBytes) is always larger or equal
Ngone51 commented on pull request #32616:
URL: https://github.com/apache/spark/pull/32616#issuecomment-845602413
cc @cloud-fan @maropu Please take a look, thanks!
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Ngone51 opened a new pull request #32616:
URL: https://github.com/apache/spark/pull/32616
### What changes were proposed in this pull request?
Change the type of `DATASET_ID_TAG` from `Long` to `HashSet[Long]` to allow
the logical plan to match multiple datasets.
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