HyukjinKwon commented on pull request #29685:
URL: https://github.com/apache/spark/pull/29685#issuecomment-690911326
Yeah, there was no conflict and tests passed
(https://github.com/apache/spark/commit/e86d90b21d4b3d6658b3cb6dd30daafb32b0c1bd).
HyukjinKwon commented on pull request #29286:
URL: https://github.com/apache/spark/pull/29286#issuecomment-690910244
@gemelen can you set it here
https://github.com/apache/spark/blob/master/project/SparkBuild.scala#L1010?
Th
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karolchmist edited a comment on pull request #28545:
URL: https://github.com/apache/spark/pull/28545#issuecomment-690077928
Hello @srowen , for me the PR is ready to be reviewed.
I extracted a Scala 2.12/2.13 specific code to separate directories, as the
interface of `ILoop` changed.
maropu commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797845
##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##
@@ -104,6 +104,16 @@ class HiveQuerySuite extends HiveCo
HyukjinKwon commented on a change in pull request #29721:
URL: https://github.com/apache/spark/pull/29721#discussion_r486797352
##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
##
@@ -104,6 +104,16 @@ class HiveQuerySuite extends H
HyukjinKwon commented on a change in pull request #29720:
URL: https://github.com/apache/spark/pull/29720#discussion_r486794746
##
File path: python/pyspark/sql/types.py
##
@@ -305,7 +305,7 @@ def jsonValue(self):
@classmethod
def fromJson(cls, json):
Review comment:
HyukjinKwon commented on a change in pull request #29720:
URL: https://github.com/apache/spark/pull/29720#discussion_r486794529
##
File path: python/pyspark/sql/types.py
##
@@ -305,7 +305,7 @@ def jsonValue(self):
@classmethod
def fromJson(cls, json):
return
liaoaoyuan97 commented on a change in pull request #21164:
URL: https://github.com/apache/spark/pull/21164#discussion_r486793639
##
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformationExec.scala
##
@@ -137,13 +137,12 @@ case class ScriptT
HyukjinKwon edited a comment on pull request #29706:
URL: https://github.com/apache/spark/pull/29706#issuecomment-690896035
I'll merge this in few days. I am not sure who to ask review. Maybe @srowen.
..
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I'll merge this in few days. I am not sure who to ask review.
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c21 opened a new pull request #29724:
URL: https://github.com/apache/spark/pull/29724
### What changes were proposed in this pull request?
Several minor code and documentation improvement for stream-stream join.
Specifically:
* Remove extending from `SparkPlan`, as ext
c21 commented on pull request #29724:
URL: https://github.com/apache/spark/pull/29724#issuecomment-690887740
cc @cloud-fan and @sameeragarwal if you have time to take a look, thanks.
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cloud-fan opened a new pull request #29723:
URL: https://github.com/apache/spark/pull/29723
### What changes were proposed in this pull request?
This is a followup of https://github.com/apache/spark/pull/29328
In https://github.com/apache/spark/pull/29328 , we forbid th
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@imback82 @dongjoon-hyun
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LantaoJin commented on pull request #25840:
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ping @dongjoon-hyun @viirya .
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linar-jether commented on pull request #29719:
URL: https://github.com/apache/spark/pull/29719#issuecomment-690876526
Thank you @HyukjinKwon, issue is that this only applies to dataframes, this
means that only spark supported types can be input to `.mapInPandas`.
so this does not cover
LantaoJin commented on pull request #25840:
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retest this please
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AngersZh commented on pull request #29692:
URL: https://github.com/apache/spark/pull/29692#issuecomment-690873256
> > after stream side executed, we will get the raw count of each partition
and judge if it's skewed seriously, if skewed seriously and volume is large,
repartition stream
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sarutak commented on a change in pull request #29677:
URL: https://github.com/apache/spark/pull/29677#discussion_r486772296
##
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##
@@ -994,6 +994,38 @@ class PlannerSuite extends SharedSparkSes
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cloud-fan commented on pull request #29692:
URL: https://github.com/apache/spark/pull/29692#issuecomment-690871544
> after stream side executed, we will get the raw count of each partition
and judge if it's skewed seriously, if skewed seriously and volume is large,
repartition stream side
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viirya commented on a change in pull request #29587:
URL: https://github.com/apache/spark/pull/29587#discussion_r486762671
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnion.scala
##
@@ -17,29 +17,101 @@
package org.apache.spark.sq
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##
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@@ -536,4 +536,71 @@ class DataFrameSetOperationsSuite ext
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URL: https://github.com/apache/spark/pull/29572#discussion_r486756148
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@@ -251,7 +251,8 @@ case class SortMergeJoinExec(
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Ngone51 commented on pull request #29722:
URL: https://github.com/apache/spark/pull/29722#issuecomment-690851376
@cloud-fan @agrawaldevesh @holdenk Please take a look, thanks!
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Ngone51 opened a new pull request #29722:
URL: https://github.com/apache/spark/pull/29722
### What changes were proposed in this pull request?
This PR cleans up the RPC message flow among the multiple decommission use
cases, it includes changes:
* Keep `Worker`
dongjoon-hyun commented on pull request #29707:
URL: https://github.com/apache/spark/pull/29707#issuecomment-690850790
Thank you all. Merged to branch-2.4.
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HeartSaVioR commented on pull request #29066:
URL: https://github.com/apache/spark/pull/29066#issuecomment-690848690
This is definitely a major missing piece on DSv2 compared to DSv1, as DSv1
writer can deal with Dataframe directly, hence able to do arbitrary changes
(including repartition
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maropu opened a new pull request #29721:
URL: https://github.com/apache/spark/pull/29721
### What changes were proposed in this pull request?
This PR intends to set `CODEGEN_ONLY` at `CODEGEN_FACTORY_MODE` in test
spark context so that tests can fail if errors happen when gen
maropu closed pull request #29713:
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beliefer commented on pull request #29626:
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@cloud-fan Thanks
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maropu closed pull request #29714:
URL: https://github.com/apache/spark/pull/29714
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AmplabJenkins removed a comment on pull request #29706:
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AmplabJenkins commented on pull request #29706:
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