Github user gatorsmile commented on the issue:
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Since the expected release of our next version Spark 2.3 is the end of this
year, we still can revert it back to 2.2.1 if we realize this release 2.5.4
introduces new bugs or performance regressi
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retest this please
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Github user gatorsmile commented on the issue:
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Changing the usage/semantics of `output` is risky. It could easily break
the existing codes without notice, especially when you do not completely remove
`output` from `QueryPlan`.
Addin
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retest this please
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ok, will look this around based on the suggestion.
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--- Diff:
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@@ -169,6 +172,18 @@ class OrcFileFormat extends FileFormat with
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@@ -2000,4 +2000,15 @@ class SQLQuerySuite extends QueryTe
Github user yaooqinn commented on the issue:
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@jerryshao thanks for replying
if a user explicitly set `SPARK_USER` but not wrapping the `SPARK_USER`
UGI doAs for SparkContext initialization, there might be two different users
commu
Github user gatorsmile commented on the issue:
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LGTM
Thanks! Merging to master.
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hey i am working on this plz check
https://github.com/apache/spark/pull/19068
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--- Diff:
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@@ -0,0 +1,125 @@
+/*
+ * Licensed to the Apache Softwar
Github user jerryshao commented on the issue:
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No, I don't agree with you.
SPARK_USER is set in SparkContext with driver's current UGI and this env
variable will be propagated to executors to create executor's UGI with the same
user i
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Thank you for reviewing and merging, @gatorsmile !
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[SPARK-13656][SQL] Delete spark.sql.parquet.cacheMetadata from SQLConf and
docs
## What changes were proposed in this pull request?
`spark.sql.parquet.cacheMetadata` is not used anym
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -255,18 +257,23 @@ def _fit(self, dataset):
randCol = self.uid + "_rand"
df = dataset.s
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[SPARK-21917][CORE][YARN] Supporting Download http(s) resources in yarn mode
## What changes were proposed in this pull request?
In the current Spark, when submitting application on YARN with
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -255,18 +257,24 @@ def _fit(self, dataset):
randCol = self.uid + "_rand"
df = dataset.s
GitHub user heary-cao opened a pull request:
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[MINOR][SQL]remove unuse import class
## What changes were proposed in this pull request?
this PR describe remove the import class that are unused.
## How was this patch tested?
Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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@@ -85,6 +87,13 @@ case class CreateDataSou
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--- Diff:
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@@ -0,0 +1,36 @@
+/*
+ * Licensed to
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--- Diff:
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@@ -100,31 +113,53 @@ class CrossValidator @Since("1.2.0") (@Since("1.4.0"
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Github user srowen commented on the issue:
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On the one hand, we don't normally just make a change to remove unused
imports. But it's a good idea once in a while to clean up. Would you actually
try to find all of them? at least, in several whol
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Github user srowen commented on the issue:
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If we need 2.5.x for the fix, then we need 2.5.x. It's worth picking up an
update if it solves a real problem. And if we're going to update minor
versions, it's generally good practice to pick the la
Github user jerryshao commented on the issue:
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@ArtRand @vanzin , is it only worked in client deploy mode, am I
understanding correctly? I don't see a code to ship tokens from local client to
remote driver.
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@@ -0,0 +1,125 @@
+/*
+ * Licensed to the Apache Soft
Github user yaooqinn commented on the issue:
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@jerryshao Yes, you are right. unlike yarn standalone donât switch the
jvm process user. but you said that if a user explicitly set `SPARK_USER`,
there is no mechanism in spark to set this user
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -255,18 +257,23 @@ def _fit(self, dataset):
randCol = self.uid + "_rand"
df = dat
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--- Diff: python/pyspark/ml/tuning.py ---
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Github user jerryshao commented on the issue:
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Sorry I didn't clearly say the problem. But IMO the changes you made is
really not so necessary.
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em..this may also not work for `DefaultContainerExecutor` which launch
containers via admin. might close this pr
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ok, i will do it.
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I roughly checked other options around parquet and I probably found
`parquetOutputCommitterClass` in `SQLConf` also is not used now?
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Sure, I will close this then.
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GitHub user caneGuy opened a pull request:
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[SPARK-21922] Fix duration always updating when task failed but status is
still RUNâ¦
â¦NING
## What changes were proposed in this pull request?
When executor failed and task metrics
Github user dongjoon-hyun commented on the issue:
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Hi, @gatorsmile .
I can fix it in most cases, but we have the [following test
case](https://github.com/apache/spark/blob/master/sql/core/src/test/resources/sql-tests/results/show_colum
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[SPARK-21902] Uniform calling for DiskBlockManager.getFile and print root
cause for doPut
## What changes were proposed in this pull request?
As logging below, actually exception will be h
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I just updated the output answer file to show the result for review only.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/19133
Can one of the admins verify this patch?
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/19116
Thank you @srowen and @viirya for reviewing this.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/19129
oh, yea. I got you. Thanks!
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19112#discussion_r136957034
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/streaming/progress.scala ---
@@ -200,7 +202,7 @@ class SourceProgress protected[sql](
*/
GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/19134
[SPARK-21893][BUILD][STREAMING] Put Kafka 0.8 behind a profile
## What changes were proposed in this pull request?
Put Kafka 0.8 support behind a kafka-0-8 profile.
## How was this
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19130
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Github user SparkQA commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/19134#discussion_r136960925
--- Diff: dev/create-release/release-build.sh ---
@@ -80,8 +80,17 @@ NEXUS_PROFILE=d63f592e7eac0 # Profile for Spark staging
uploads
BASE_DIR=$(pwd)
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