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--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -772,6 +772,12 @@ private[spark] class Executor(
val accumUpdates =
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retest this please
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> I don't know why do you push me to do something with auto-detection.
Because you are documenting it now in this PR.
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`SparkStatusTracker` states the following:
```
* These APIs intentionally provide very weak consistency semantics;
consumers of these APIs should
* be prepared to handle empty /
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[SPARK-23905][SQL] Add UDF weekday
## What changes were proposed in this pull request?
Add UDF weekday
## How was this patch tested?
A new test
You can merge this pull
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(A note to me & future readers) It seems this is actually for [SPARK-3159]
Check for reducible DecisionTree, rather than SPARK-3155
Support DecisionTree pruning. The title is confusing to me
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I am going to merge this after this successfully passes tests
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--- Diff:
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@@ -287,3 +289,165 @@ case class
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bq. I think you should also update "test-dependencies.sh" to make the new
deps file work.
I did, but then things failed because the artifacts were only visible if
you did a run with
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GitHub user mgaido91 opened a pull request:
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[SPARK-23902][SQL] Add roundOff flag to months_between
## What changes were proposed in this pull request?
HIVE-15978 introduced the `roundOff` flag in order to disable the rounding
to 8
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@srowen Could you please help reviewing this? Thanks in advance
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I have finished my review and have not found any additional issue.
LGTM
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> I don't know about you but I used to think if something doesn't work it
means it doesn't work in ALL cases.
I agree with that there are always rooms for improvement. Trust me, I
Github user MaxGekk commented on a diff in the pull request:
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[SPARK-23942][PYTHON][SQL] Makes collect in PySpark as action for a query
executor listener
## What changes were proposed in this pull request?
This PR proposes to add `collect` to a
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LGTM
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retest this please
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Jenkins, test this please.
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@HyukjinKwon Let's sync.
> Automatic encoding detection doesn't work for newlines and schema
inference when multiLine is disabled
I don't know about you but I used to think if
Github user WeichenXu123 commented on a diff in the pull request:
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--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
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@@ -34,86 +35,122 @@ class FPGrowthSuite extends SparkFunSuite with
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[SPARK-22256][MESOS] - Introduce spark.mesos.driver.memoryOverhead
When running spark driver in a container such as when using the Mesos
dispatcher service, we need to apply the same rules as for
Github user HyukjinKwon commented on the issue:
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Wait .. @MaxGekk, I think we should be synced first.
Automatic encoding detection doesn't work for newlines and schema inference
when `multiLine` is disabled, and I want to clarify this
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