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Thanks! Merged to master/2.2
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+CC @HyukjinKwon, @steveloughran
Sorry for messing up PR #19487
The only change in this PR is to use `::invalid::` instead of `test:` in
the test to address @steveloughran's comment.
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[SPARK-21549][CORE] Respect OutputFormats with no/invalid output directory
provided
## What changes were proposed in this pull request?
PR #19294 added support for null's - but s
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OK to test
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/except.sql ---
@@ -0,0 +1,43 @@
+-- Tests different scenarios of except operation
+create t
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crap, my branch got messed up.
I will resubmit the PR - sorry for the mess up.
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@HyukjinKwon That was exactly the initial solution I tested locally when we
saw the problem with Phoenix.
The reason to expand it was two fold:
a) This change preserves existing behavior from
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@mridulm, what do you think about dealing with empty string for now and
other cases later if we can't male sure for other cases for now? I guess the
actual issue found is about empty string anyw
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[SPARK-22271][SQL]mean overflows and returns null for some decimal variables
## What changes were proposed in this pull request?
In Average.scala, it has
```
override
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@vanzin Thanks for the review. I'll address the comments ASAP.
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--- Diff: docs/running-on-mesos.md ---
@@ -522,6 +522,43 @@ See the [configuration page](configuration.html) for
information on Spark config
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[SPARK-22278][SS] Expose current event time watermark and current
processing time in GroupState
## What changes were proposed in this pull request?
Complex state-updating and/or timeout-handl
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Will identify better solution to fix this issue and create a new PR,
closing it.
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@jerryshao Please let me know if you don't convince with the above comment,
I can make the changes to PR to make Worker do down on external shuffle service
start failure.
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Thanks @vanzin for looking into this.
> This only solves half the problem, right? What about cluster mode?
Yes, it solves the Mesos/Client mode. For Mesos/Cluster mode, I think the
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This only solves half the problem, right? What about cluster mode?
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Github user tdas commented on the issue:
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LGTM, assuming tests pass.
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Github user maryannxue commented on a diff in the pull request:
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--- Diff:
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@@ -205,14 +205,17 @@ object PhysicalAggregation {
Github user superbobry commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala ---
@@ -100,7 +100,16 @@ private[spark] class DiskBlockManager(conf: SparkC
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Github user rednaxelafx commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/planning/patterns.scala
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@@ -205,14 +205,17 @@ object PhysicalAggregation {
Github user tdas commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingSymmetricHashJoinHelperSuite.scala
---
@@ -0,0 +1,118 @@
+/*
+ * Licensed to
Github user dongjoon-hyun closed the pull request at:
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