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Github user shahidki31 commented on the issue:
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Closing the PR due to the discussions in the JIRA,
https://issues.apache.org/jira/browse/SPARK-15784 and the PR
https://github.com/apache/spark/pull/21493
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Github user yuchaoran2011 commented on the issue:
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I'm not confused about anything.
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You said: "even when LOCATION is not specified, Sentry would still not
allow the table to be created."
I said that if that's the case, then your user doesn't have the needed
permission. Beca
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Github user TomaszGaweda commented on the issue:
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I've tesed it with my application that had problem with predicate pushdowns
to database. Looks good, performance is degradated a bit, but it was previously
ran on Spark 2.3, not 2.4. However, m
Github user HyukjinKwon commented on the issue:
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Thanks @rxin, @tdas, @holdenk and @felixcheung.
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Merged to master.
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Thanks for reviewing this @rxin. Will merge this only to master given the
concerns here.
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You said "If that's the case then your user does not have permission to
create the table." What I'm saying is the user did have the permission.
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--- Diff: python/pyspark/ml/classification.py ---
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HasLabelCol, HasPredictionCol
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Yes, that's exactly what I said. I'm not sure what part is confusing you.
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Github user yuchaoran2011 commented on the issue:
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I can double check. But I remember clearly that the user did have all the
necessary privileges. Without this patch, a permission error was thrown. With
this patch it worked fine. The CREATE TA
Github user zecevicp commented on the issue:
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There's no design doc. I didn't feel the change was big enough to warrant
one.
1. Currently there is no spill-over to disk. If the range is too big, users
can switch this off and use the m
Github user HyukjinKwon commented on the issue:
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Yea, let's leave this open for few more days in case someone has more
comments.
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Seems fine. will take a look before merginf this in. Thanks for working on
this.
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If that's the case then your user does not have permission to create the
table. The issue that my patch works around is a bug in Sentry where creating a
table *with the location specified to the same
Github user icexelloss commented on the issue:
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Thanks @HyukjinKwon for your review! @ueshin Do you want to take another
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@vanzin But in Spark SQL, even when LOCATION is not specified, Sentry would
still not allow the table to be created.
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Q
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--- Diff: python/pyspark/worker.py ---
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return lambda *a: (wrapped(*a), arrow_return_type)
Github user vanzin commented on the issue:
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I'm kinda neutral on what should happen, except maybe for filing a Sentry
bug. I'll let @cloud-fan decide whether this makes sense in Spark.
For the Sentry bug, there's an easy way to reprodu
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Github user mccheah commented on the issue:
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> But I am concerned about it setting a precedent for having to change
Spark's source code every time you want to request a new resource type. I am
very familiar with the space of machine learning a
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Thanks @srowen
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e.isI
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@mengxr @WeichenXu123 I will close this one and submit a new PR soon.
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LGTM
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'mixture.*aggregate function.*grou
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+/
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Github user HyukjinKwon commented on the issue:
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yea, I generally agree with that and I feel in the same way. I think I had
a talk about this @gatorsmile and @cloud-fan multiple times. Here is my
thought: we should not make a configuration onl
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@huaxingao Create a new PR is better I think.
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@HyukjinKwon I agree with you 99% people will mostly certainly not use the
config. I think @gatorsmile 's concern is that in the rare case that some
people are actually depending on the existing
Github user kiszk commented on the issue:
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Since it is Java bytecode analysis, it is available for Scala code, too.
In my quick test, findBugs overlooked a possible overflow. On the other
hand, findBugs found another redundant null check.
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@mengxr Sorry for the delay. I will submit an update later today. Do you
want me to close this PR and do a new one? or just update this PR?
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Thank you @felixcheung, @mengxr and @BryanCutler for reviewing this.
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I'm okay if that's only the way to get through here. but I must say I
wonder who's going to intentionally switch this off though. This now sounds
more like a bug or a design issue to be fixed to
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is findBugs available for scala code as well?
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do we have a design doc? I have a couple of high-level questions:
1. what if the range is big and the queue OOM?
2. can't we apply it with cartesian join if there is no equal condition?
and
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LGTM. Merged into master. Thanks!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/StopWordsRemover.scala ---
@@ -84,7 +86,28 @@ class StopWordsRemover @Since("1.5.0") (@Since("1.5.
Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21502#discussion_r194101781
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/joins/BroadcastJoinSuite.scala
---
@@ -153,6 +154,23 @@ class BroadcastJoinSuite extends
Github user arunmahadevan commented on a diff in the pull request:
https://github.com/apache/spark/pull/21504#discussion_r194101270
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
---
@@ -55,6 +57,19 @@ class StreamingQueryManager priva
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/21504
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Github user tomhanetz commented on the issue:
https://github.com/apache/spark/pull/21512
@abellina No, the page stays at the same view as it was before the refresh.
It is the same functionality as hitting the browser refresh button manually.
---
-
Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/21427
I ran into @ueshin and @gatorsmile at the Summit. It seems the preferable
way to move forward is to having a configuration to fall back to the existing
behavior and change the default behavior to
Github user arunmahadevan commented on a diff in the pull request:
https://github.com/apache/spark/pull/21504#discussion_r194100709
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
---
@@ -55,6 +57,19 @@ class StreamingQueryManager priva
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/21508
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Github user bkrieger commented on a diff in the pull request:
https://github.com/apache/spark/pull/21508#discussion_r194082850
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1568,11 +1568,13 @@ class Analyzer(
expr.fi
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