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Can one of the admins verify this patch?
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Github user gatorsmile commented on the issue:
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@cloud-fan The new behavior looks reasonable to me, unless users are
expecting to keey the original cached data.
I went over the change history. I found @sameeragarwal did this in
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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---
@@ -170,32 +111,21 @@ class CSVFileFormat
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -480,7 +479,12 @@ object SparkSubmit extends CommandLineUtils {
Github user gatorsmile commented on the issue:
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Adding a new option `spark.jars.repositories` afffects more than loading
hive jars, right?
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Github user robbinspg commented on the issue:
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Sorry, I've been away for the w/end. Yes we use maven for our test runs.
Looks like you have it under control.
Thanks
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -232,19 +232,40 @@ class Word2VecModel private[ml] (
@Since("1.5.0")
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@mengxr @rxin
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cc @srowen
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Please rename it to [SPARK-19458][BUILD][SQL]load hive jars from local repo
which has downloaded
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@samkum Any update?
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retest this please
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1272,16 +1272,18 @@ def replace(self, to_replace, value, subset=None):
"""Returns a new
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(FWIW, I am OK but just worried if it might be supposed to be internal
type, maybe in the future)
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@uncleGen I think we should limit this to allowing long values for range
frames only; row frames should not get larger than `1 << 31 + 1`. The reason
for this is that we also need to be able to
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--- Diff:
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@@ -841,5 +841,6 @@ private[client] class Shim_v1_2 extends
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@@ -841,5 +841,6 @@ private[client] class Shim_v1_2 extends
Github user srowen commented on the issue:
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Pardon me, but is there anywhere else keeping track of the build break with
SBT? It's been failing for a while in master:
Github user srowen commented on a diff in the pull request:
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--- Diff: docs/building-spark.md ---
@@ -63,57 +63,30 @@ with Maven profile settings and so on like the direct
Maven build. Example:
This will
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LGTM pending test
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Found the design doc:
https://docs.google.com/document/d/1h5SzfC5UsvIrRpeLNDKSMKrKJvohkkccFlXo-GBAwQQ/edit?ts=574f717f#
> An alternative is to support a new command REFRESH path that
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@sujith71955 Thanks for the test! The test number looks promising!
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@yangw1234 could you also check if we need to do this for whole stage code
generation?
...and you really need to add tests.
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ok to test
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retest this please
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Sorry, I missed the ping. Will review it tonight.
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Github user windpiger commented on a diff in the pull request:
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--- Diff:
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@@ -841,5 +841,6 @@ private[client] class Shim_v1_2 extends
Github user uncleGen commented on the issue:
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@hvanhovell Thanks for your suggestions, it is just what I failed to notice
or consider.
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@zhoucen please close this PR and read
http://spark.apache.org/contributing.html
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@viirya i tested with the above mentioned approach with sample data, it has
improved the performance almost into 3X
Please find the test report
Total No of Executers = 3
Total
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Github user HyukjinKwon commented on the issue:
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It seems there are several ones here and there. Maybe
https://github.com/apache/spark/pull/15751#issuecomment-258518577 is related
too because it is about supporting reading/writing out that
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Github user zhoucen closed the pull request at:
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--- Diff:
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---
@@ -47,7 +47,7 @@ object StreamMetadata extends Logging
Github user srowen commented on the issue:
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I don't think this is a necessary change. Already, you can't ask for more
resources than the cluster has; the cluster won't grant them. Capping it here
means the app can't use more resources if the
Github user srowen commented on the issue:
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CC @cloud-fan for https://github.com/apache/spark/pull/13008#r62947902 and
@yhuai for https://github.com/apache/spark/pull/8597#r38769233 as they might be
what you're referring to?
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(I am fine with changing the name only for CSV ones for now as well. I
would appreciate if you confirm please)
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retest this please.
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GitHub user yangw1234 opened a pull request:
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[SPARK-19471] AggregationIterator does not initialize the generated result
projection before using it
## What changes were proposed in this pull request?
When AggregationIterator
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16269#discussion_r99578597
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
---
@@ -374,25 +375,24 @@ case class
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/16680
@cloud-fan, I just mainly resembled ones in JSON datasource and I am pretty
sure you knew this when you added some comments. But let me just rebase this as
is for now just in case maybe you are
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/16680#discussion_r99583374
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -39,22 +37,76 @@ private[csv] object
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/16680#discussion_r99583376
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVUtils.scala
---
@@ -0,0 +1,134 @@
+/*
+ * Licensed to the
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