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Merge pull request #1 from apache/master
pull code
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this
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It failed again. I don't know what the problem is. Could you help me
trigger it again?@viirya
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--- Diff:
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@@ -0,0 +1,53 @@
+/*
+ * Licensed to the Apache
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retest this please
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--- Diff: core/src/main/scala/org/apache/spark/Partitioner.scala ---
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[SPARK-25063][SQL] Rename class KnowNotNull to KnownNotNull
## What changes were proposed in this pull request?
Correct the class name typo checked in through SPARK-24891
##
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@@ -442,3 +442,184 @@ case class
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@@ -166,7 +169,16 @@ class RangePartitioner[K : Ordering : ClassTag, V](
//
Github user sddyljsx commented on the issue:
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This optimization is only for SQL, but other places also use
RangePartitioner. What it can affect other places?
The failed UTs are caused by
```
else if (sampleCacheEnabled
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@@ -21,33 +21,39 @@
import
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Thanks @HyukjinKwon @hvanhovell @mgaido91 @kiszk
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@tdas Addressed review comments. Please take a look again. Thanks in
advance.
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@hvanhovell @mn-mikke @mgaido91 Thanks for the review! I have addressed
all your comments and added appropriate test cases for the same.
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GitHub user xuejianbest opened a pull request:
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Fix the show method to display the wide character alignment problem
before:
+---+---+-+
|id |ä¸å½ |s2 |
Github user gatorsmile commented on the issue:
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I hit the following error in my local environment.
```
sbt.ForkMain$ForkError: org.apache.spark.SparkException: Job aborted due to
stage failure: Task 0 in stage 220.0 failed 1 times,
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Good point. [These
failures](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/94431/testReport/)
may show that it affects other places.
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Github user habren commented on the issue:
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@maropu Thanks for your comments. ORC can also benefit from this change
since ORC is also columnar file format. Do you think I should add ORC support
by change the below line
`
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What about R, do we also need a similar setting for R? I was thinking that
with project hydrogen, more and more external processes will be run inside the
Spark's executor (MPP), all these
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btw, we still need the impl. of the vectorized hash map (the comment says
this is for test and benchmark only) in future releases? @hvanhovell @cloud-fan
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@@ -169,6 +171,19 @@ private[spark] class Executor(
Github user markhamstra commented on the issue:
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> Yes, "quick hack", but, as opposed to what in these specific cases?
Yes, that is the key question. I'll admit, I haven't looked at all deeply
to try to figure out whether something
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@@ -169,6 +171,19 @@ private[spark] class Executor(
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Is this a parquet-specific issue? e.g., how about ORC?
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Can you narrow down the title and description? I thinks the current one is
obscure..
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