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dongjoon-hyun commented on pull request #29188:
URL: https://github.com/apache/spark/pull/29188#issuecomment-662766767
The demo website looks nice although I didn't generate manually this PR~
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Jenkins, please make pip packaging tests pass! retest this please
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viirya edited a comment on pull request #29152:
URL: https://github.com/apache/spark/pull/29152#issuecomment-662766465
> I'd treat it as not-working if it ONLY works with in-memory catalog. In
production no one use it. The official release of Spark always include the hive
dependencies.
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dongjoon-hyun commented on a change in pull request #29188:
URL: https://github.com/apache/spark/pull/29188#discussion_r459159755
##
File path: dev/requirements.txt
##
@@ -3,3 +3,4 @@ jira==1.0.3
PyGithub==1.26.0
Unidecode==0.04.19
sphinx
+pydata_sphinx_theme
Review
dongjoon-hyun commented on a change in pull request #29188:
URL: https://github.com/apache/spark/pull/29188#discussion_r459159613
##
File path: dev/requirements.txt
##
@@ -3,3 +3,4 @@ jira==1.0.3
PyGithub==1.26.0
Unidecode==0.04.19
sphinx
+pydata_sphinx_theme
Review
viirya commented on pull request #29152:
URL: https://github.com/apache/spark/pull/29152#issuecomment-662766465
> I'd treat it as not-working if it ONLY works with in-memory catalog. In
production no one use it. The official release of Spark always include the hive
dependencies.
Oh
dongjoon-hyun commented on pull request #29191:
URL: https://github.com/apache/spark/pull/29191#issuecomment-662764624
Hi, @cloud-fan and @HyukjinKwon .
Sorry, but could you review this follow-up, please?
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github-actions[bot] commented on pull request #28133:
URL: https://github.com/apache/spark/pull/28133#issuecomment-662764249
We're closing this PR because it hasn't been updated in a while. This isn't
a judgement on the merit of the PR in any way. It's just a way of keeping the
PR queue
ulysses-you commented on pull request #28840:
URL: https://github.com/apache/spark/pull/28840#issuecomment-662763147
@cloud-fan Thanks for merge ! Thanks all !
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zsxwing commented on a change in pull request #29187:
URL: https://github.com/apache/spark/pull/29187#discussion_r459155483
##
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##
@@ -0,0 +1,64 @@
+/*
+ * Licensed to the Apache
ulysses-you commented on pull request #29152:
URL: https://github.com/apache/spark/pull/29152#issuecomment-662762754
How about give user a config that `convertNullAsString`, then we convert
`null` as `StringType` if the config is enable ?
In my practice, most time `select null as c`
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maropu commented on a change in pull request #29085:
URL: https://github.com/apache/spark/pull/29085#discussion_r459136940
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
##
@@ -744,8 +744,29 @@ class AstBuilder(conf: SQLConf)
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##
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retest this please
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HeartSaVioR commented on a change in pull request #29187:
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TJX2014 commented on a change in pull request #29156:
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##
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##
@@ -165,6 +165,24 @@ object ResolveHints {
huaxingao commented on a change in pull request #29159:
URL: https://github.com/apache/spark/pull/29159#discussion_r459120300
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@@ -545,6 +551,10 @@ class _TrainValidationSplitParams(_ValidatorParams):
trainRatio =
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retest this please
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ueshin commented on pull request #29195:
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Also cc @nvander1
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ueshin opened a new pull request #29195:
URL: https://github.com/apache/spark/pull/29195
### What changes were proposed in this pull request?
This is a follow-up of #29138 which added overload `slice` function to
accept `Column` for `start` and `length` in Scala.
This PR is
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huaxingao commented on pull request #29188:
URL: https://github.com/apache/spark/pull/29188#issuecomment-662720777
Looks really nice! It's more organized this way.
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agrawaldevesh commented on pull request #29032:
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retest this please
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jkleckner commented on pull request #28423:
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I took the commits from master and made a partial attempt to rebase this
onto branch-2.4 [1].
However, the k8s api has evolved from 2.4 quite a bit so the watchOrStop
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Ah, thanks so much for fixing this
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c21 commented on pull request #29181:
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@bart-samwel - just to bring us in the same page.
Current spark scala/java implementation for hash join (broadcast hash join
and shuffled hash join) has following
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