GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/19459
[SPARK-20791][PYSPARK] Use Arrow to create Spark DataFrame from Pandas
## What changes were proposed in this pull request?
This change uses Arrow to optimize the creation of a Spark
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/19269
Several things to discuss:
1. Since Spark can't disable speculation during runtime, currently there is
not much benefit to provide an interface for data source to disable
speculation,
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Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19447#discussion_r143540779
--- Diff:
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---
@@ -279,11 +279,11 @@ class
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Github user ArtRand commented on the issue:
https://github.com/apache/spark/pull/19437
@susanxhuynh @skonto The secret-containing protos will be valid in Mesos
1.3 onwards, thus why the scheduler has that requirement. DC/OS with file-based
secrets has Mesos 1.4 thus why we test it
Github user steveloughran commented on a diff in the pull request:
https://github.com/apache/spark/pull/19269#discussion_r143530841
--- Diff:
sql/core/src/test/java/test/org/apache/spark/sql/sources/v2/JavaSimpleWritableDataSource.java
---
@@ -0,0 +1,297 @@
+/*
+ *
Github user shubhamchopra commented on a diff in the pull request:
https://github.com/apache/spark/pull/17673#discussion_r143529694
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/Word2VecSuite.scala ---
@@ -245,5 +508,28 @@ class Word2VecSuite extends SparkFunSuite
Github user shubhamchopra commented on a diff in the pull request:
https://github.com/apache/spark/pull/17673#discussion_r143529286
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/Word2VecSuite.scala ---
@@ -189,6 +305,136 @@ class Word2VecSuite extends SparkFunSuite
Github user shubhamchopra commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -171,20 +210,46 @@ final class Word2Vec @Since("1.4.0") (
Github user shubhamchopra commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -171,20 +210,46 @@ final class Word2Vec @Since("1.4.0") (
Github user kiszk commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
---
@@ -279,11 +279,11 @@ class CodegenContext {
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/19458#discussion_r143527010
--- Diff:
core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala ---
@@ -100,7 +102,9 @@ private[spark] class DiskBlockManager(conf: SparkConf,
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
Thanks! I'll remove the WIP. To clear things up for the future, I'd thought
[WIP] was the appropriate tag for a PR that's ready for review but not ready to
be merged (based on
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GitHub user superbobry opened a pull request:
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[SPARK-7][CORE] DiskBlockManager.getAllBlocks now tolerates temp files
## What changes were proposed in this pull request?
Prior to this commit getAllBlocks implicitly assumed that
Github user rdblue commented on a diff in the pull request:
https://github.com/apache/spark/pull/19269#discussion_r143524057
--- Diff:
sql/core/src/test/java/test/org/apache/spark/sql/sources/v2/JavaSimpleWritableDataSource.java
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@@ -0,0 +1,297 @@
+/*
+ * Licensed to
Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18664
@HyukjinKwon and @ueshin so with Arrow, the Pandas DataFrame from
`toPandas()` timestamp columns will not have a timezone - are we going to do
the same thing for `pandas_udf` Series? I was
Github user gatorsmile commented on the issue:
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LGTM
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Github user gatorsmile commented on the issue:
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@srowen Thanks!
@liufengdb Could you submit a separate PR to fix the issues and also please
include the test cases?
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/19061
Hi, @vanzin and @jerryshao .
Could you review this `ConsoleProgressBar` issue when you have some time?
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Gentle ping~, @gatorsmile . :)
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--- Diff:
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@@ -274,19 +274,26 @@ abstract class SparkPlan extends
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--- Diff:
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@@ -274,19 +274,26 @@ abstract class SparkPlan extends
Github user shubhamchopra commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
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@@ -106,6 +106,45 @@ private[feature] trait Word2VecBase extends Params
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
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@@ -106,6 +106,45 @@ private[feature] trait Word2VecBase extends Params
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
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@@ -106,6 +106,45 @@ private[feature] trait Word2VecBase extends Params
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
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@@ -106,6 +106,45 @@ private[feature] trait Word2VecBase extends Params
Github user cloud-fan commented on a diff in the pull request:
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+/*
+ * Licensed
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Github user susanxhuynh commented on the issue:
https://github.com/apache/spark/pull/19374
@skonto One more question: in your screen shot of the History Server, I
noticed the "Completed" time is 1969-12-31 for all the drivers (the original
one, retry-1, and retry-2). Is that to be
Github user icexelloss commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
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@@ -519,3 +519,18 @@ case class CoGroup(
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--- Diff: python/pyspark/sql/group.py ---
@@ -192,7 +193,69 @@ def pivot(self, pivot_col, values=None):
jgd = self._jgd.pivot(pivot_col)
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Github user sohum2002 commented on the issue:
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@HyukjinKwon - Thank you for your comments and analysis of this PR. I will
also try to improve the `flatMap(identity)` as mentioned by @srowen. Also, will
add a python implementation.
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--- Diff:
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@@ -58,7 +58,7 @@ class
Github user susanxhuynh commented on a diff in the pull request:
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--- Diff:
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@@ -374,6 +375,15 @@
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@@ -804,45 +814,52 @@
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--- Diff:
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@@ -276,8 +276,8 @@
Github user susanxhuynh commented on a diff in the pull request:
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Github user bdrillard commented on the issue:
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I'm blocking out time to prepare the part 2 PR for this issue starting
today over this week, regarding compaction of excess primitive state.
cc: @kiszk
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameStatSuite.scala ---
@@ -157,21 +157,21 @@ class DataFrameStatSuite extends QueryTest with
Github user wzhfy commented on a diff in the pull request:
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--- Diff:
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@@ -58,7 +58,7 @@ class QuantileSummariesSuite
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@@ -58,7 +58,7 @@ class QuantileSummariesSuite
Github user WeichenXu123 commented on the issue:
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@gglanzani And you the `ml.linalg.DenseMatrix` looks have the same bug. Can
you also update it ?
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ping @gglanzani This bug need fixed ASAP. Can you update code when you're
free ? Thanks.
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--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -1131,14 +1131,21 @@ def __getitem__(self, indices):
return self.values[i + j
Github user kiszk commented on the issue:
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ping for review @hvanhovell @tejasapatil
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Github user zivanfi commented on a diff in the pull request:
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--- Diff:
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@@ -266,6 +267,10 @@ final class DataFrameWriter[T] private[sql](ds:
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/19454
BTW, for the answer to
https://github.com/apache/spark/pull/19454#issuecomment-335138642, I think you
should take a look at, for example, `flatMap` as a reference in `rdd.py` and
related
Github user HyukjinKwon commented on the issue:
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I think @srowen requested to fix it in a more performant way as well, for
example, referring https://github.com/apache/spark/pull/16276, if I understood
correctly and otherwise closing it.
Github user DaimonPl commented on the issue:
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@mallman @viirya from my understanding current workaround is for case when
reading columns which are not in file schema
> Parquet-mr will throw an exception if we try to read a superset of
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Github user HyukjinKwon commented on the issue:
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Let's fix up the PR title from `[SPARK-18855 ][SQL]` to
`[SPARK-18855][SQL]` BTW.
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Github user sohum2002 commented on the issue:
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Would appreciate some help in the Python implementation of the `flatten`
function as I have never used pyspark. Could someone help me out?
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Github user pavel-sakun commented on the issue:
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Not aware ATM, this one handles missing value for args expecting one.
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/ProbabilisticClassifier.scala
---
@@ -230,21 +230,22 @@ private[ml] object
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@@ -230,21 +230,22 @@ private[ml] object
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[SPARK] Misleading error message
Fix misleading error message when argument is expected.
## What changes were proposed in this pull request?
Change message to be accurate.
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Github user 10110346 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19077#discussion_r143439369
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
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@@ -116,9 +116,10 @@ private [sql] object
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