[GitHub] [spark] AmplabJenkins removed a comment on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

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[GitHub] [spark] SparkQA removed a comment on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

2019-06-13 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

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[GitHub] [spark] AmplabJenkins commented on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

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[GitHub] [spark] ueshin commented on issue #24761: [SPARK-27905] [SQL] Add higher order function 'forall'

2019-06-13 Thread GitBox
ueshin commented on issue #24761: [SPARK-27905] [SQL] Add higher order function 
'forall'
URL: https://github.com/apache/spark/pull/24761#issuecomment-501991189
 
 
   @nvander1 I'm sorry for the delay.
   Actually I had an offline discussion about this, and during the discussion 
we found that `ArrayExists` (also `ArrayForAll` if we provide) should follow 
the three-valued boolean logic.
   
   After the discussion, I became okay to provide this since, even if the 
rewrite under the three-valued boolean logic works, it's easier and more 
confident for users.
   
   Let me fix it first, then, although I'm not sure whether we can still share 
an implementation between the two, could you follow the fix here as well?
   
   Thanks.


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[GitHub] [spark] SparkQA commented on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

2019-06-13 Thread GitBox
SparkQA commented on issue #24706: [SPARK-23128][SQL] A new approach to do 
adaptive execution in Spark SQL
URL: https://github.com/apache/spark/pull/24706#issuecomment-501990688
 
 
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* This patch merges cleanly.
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[GitHub] [spark] AmplabJenkins commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

2019-06-13 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

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[GitHub] [spark] SparkQA removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

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URL: https://github.com/apache/spark/pull/24869#issuecomment-501974247
 
 
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[GitHub] [spark] SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

2019-06-13 Thread GitBox
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[GitHub] [spark] mengxr commented on a change in pull request #24830: [SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from datasource

2019-06-13 Thread GitBox
mengxr commented on a change in pull request #24830: 
[SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from 
datasource
URL: https://github.com/apache/spark/pull/24830#discussion_r293613641
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala
 ##
 @@ -96,30 +102,36 @@ abstract class PartitioningAwareFileIndex(
 
   def allFiles(): Seq[FileStatus] = {
 val files = if (partitionSpec().partitionColumns.isEmpty) {
-  // For each of the root input paths, get the list of files inside them
-  rootPaths.flatMap { path =>
-// Make the path qualified (consistent with listLeafFiles and 
bulkListLeafFiles).
-val fs = path.getFileSystem(hadoopConf)
-val qualifiedPathPre = fs.makeQualified(path)
-val qualifiedPath: Path = if (qualifiedPathPre.isRoot && 
!qualifiedPathPre.isAbsolute) {
-  // SPARK-17613: Always append `Path.SEPARATOR` to the end of parent 
directories,
-  // because the `leafFile.getParent` would have returned an absolute 
path with the
-  // separator at the end.
-  new Path(qualifiedPathPre, Path.SEPARATOR)
-} else {
-  qualifiedPathPre
-}
-
-// There are three cases possible with each path
-// 1. The path is a directory and has children files in it. Then it 
must be present in
-//leafDirToChildrenFiles as those children files will have been 
found as leaf files.
-//Find its children files from leafDirToChildrenFiles and include 
them.
-// 2. The path is a file, then it will be present in leafFiles. 
Include this path.
-// 3. The path is a directory, but has no children files. Do not 
include this path.
+  if (recursive) {
+leafFiles.values.toSeq
 
 Review comment:
   I'm not sure if we can trust that `leafFiles` contains all files. The doc 
doesn't say anything ...


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[GitHub] [spark] mengxr commented on a change in pull request #24830: [SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from datasource

2019-06-13 Thread GitBox
mengxr commented on a change in pull request #24830: 
[SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from 
datasource
URL: https://github.com/apache/spark/pull/24830#discussion_r292212772
 
 

 ##
 File path: 
mllib/src/test/scala/org/apache/spark/ml/source/image/ImageFileFormatSuite.scala
 ##
 @@ -104,6 +105,30 @@ class ImageFileFormatSuite extends SparkFunSuite with 
MLlibTestSparkContext {
 assert(firstBytes20Set === expectedFirstBytes20Set)
   }
 
+  test("recursive loading") {
+val imagesPath = spark.read.format("image")
+  .option("dropInvalid", true)
+  .option("recursive", true)
 
 Review comment:
   It is okay to test here. But we should also add a more generic test for the 
new option, not specific to a data source in MLlib.


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[GitHub] [spark] mengxr commented on a change in pull request #24830: [SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from datasource

2019-06-13 Thread GitBox
mengxr commented on a change in pull request #24830: 
[SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from 
datasource
URL: https://github.com/apache/spark/pull/24830#discussion_r292213091
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala
 ##
 @@ -58,6 +58,8 @@ abstract class PartitioningAwareFileIndex(
 
   protected lazy val pathGlobFilter = parameters.get("pathGlobFilter").map(new 
GlobFilter(_))
 
+  protected lazy val recursive = parameters.getOrElse("recursive", 
"false").toBoolean
 
 Review comment:
   * Could you rename it to `recursiveFileLooup`? I'm worried about `recursive` 
being too general and already used by some 3rd-party data sources.
   * Maybe better to define it below `matchGlobPattern`


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[GitHub] [spark] mengxr commented on a change in pull request #24830: [SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from datasource

2019-06-13 Thread GitBox
mengxr commented on a change in pull request #24830: 
[SPARK-27990][SQL][ML][WIP] Provide a way to recursively load data from 
datasource
URL: https://github.com/apache/spark/pull/24830#discussion_r292077612
 
 

 ##
 File path: 
mllib/src/test/scala/org/apache/spark/ml/source/image/ImageFileFormatSuite.scala
 ##
 @@ -104,6 +105,30 @@ class ImageFileFormatSuite extends SparkFunSuite with 
MLlibTestSparkContext {
 assert(firstBytes20Set === expectedFirstBytes20Set)
   }
 
+  test("recursive loading") {
+val imagesPath = spark.read.format("image")
+  .option("dropInvalid", true)
+  .option("recursive", true)
+  .load(recursiveImagePath)
+  .select(col("image.origin"))
+  .collect()
+  .map { row =>
+val path = row.getString(0)
+val keyStr = "images/recursive/"
+path.substring(path.indexOf(keyStr) + keyStr.length)
+  }
+assert(Set(imagesPath: _*) === Set(
+  "multi-channel/chr30.4.184.jpg",
 
 Review comment:
   Could you use existing files or create new files from the test? Checking in 
binary files is generally not good.


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[GitHub] [spark] beliefer commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.

2019-06-13 Thread GitBox
beliefer commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network 
in KafkaRDD.
URL: https://github.com/apache/spark/pull/24858#issuecomment-501981206
 
 
   @jerryshao @HyukjinKwon OK. I get it. I will close this PR.


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[GitHub] [spark] beliefer closed pull request #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.

2019-06-13 Thread GitBox
beliefer closed pull request #24858: [MINOR][SQL] Avoid wildcard import Network 
in KafkaRDD.
URL: https://github.com/apache/spark/pull/24858
 
 
   


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[GitHub] [spark] ketank-new commented on a change in pull request #24861: [SPARK-26985][CORE] Fix "access only some column of the all of columns " for big endian architecture BUG

2019-06-13 Thread GitBox
ketank-new commented on a change in pull request #24861: [SPARK-26985][CORE] 
Fix "access only some column of the all of columns " for big endian 
architecture BUG
URL: https://github.com/apache/spark/pull/24861#discussion_r293668130
 
 

 ##
 File path: common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java
 ##
 @@ -304,7 +304,7 @@ public static void throwException(Throwable t) {
   static {
 boolean _unaligned;
 String arch = System.getProperty("os.arch", "");
-if (arch.equals("ppc64le") || arch.equals("ppc64")) {
+if (arch.equals("ppc64le") || arch.equals("ppc64") || 
arch.matches("s390x")) {
 
 Review comment:
   @srowen : I had used "arch.equals("s390x") initially and by reading ur 
earlier comments i understood you asking me to use "matches", that's what i did 
in this new PR
   
   Do you stilll suggest to change it to some thing else?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

2019-06-13 Thread GitBox
AmplabJenkins removed a comment on issue #24870: [SPARK-27018][Core] Fix 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

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[GitHub] [spark] AmplabJenkins commented on issue #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

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[GitHub] [spark] AmplabJenkins commented on issue #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

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[GitHub] [spark] SparkQA commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

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[GitHub] [spark] SparkQA removed a comment on issue #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

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[GitHub] [spark] SparkQA commented on issue #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

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[GitHub] [spark] SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

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[GitHub] [spark] SparkQA removed a comment on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

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[GitHub] [spark] SparkQA commented on issue #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

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[GitHub] [spark] AmplabJenkins commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate to address performance issue in explode

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[GitHub] [spark] SparkQA commented on issue #24637: [SPARK-27707][SQL] Prune unnecessary nested fields from Generate to address performance issue in explode

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[GitHub] [spark] HyukjinKwon commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.

2019-06-13 Thread GitBox
HyukjinKwon commented on issue #24858: [MINOR][SQL] Avoid wildcard import 
Network in KafkaRDD.
URL: https://github.com/apache/spark/pull/24858#issuecomment-501968104
 
 
   e.g, https://github.com/apache/spark/pull/24857.
   
   Also, causing conflicts itself is a problem because we need to manually fix 
the conflicts in files. This is an overhead comparing to just `git cherry-pick` 
and `git push`.
   
   Also, think about multiple conflicts like this. Those changes are usually 
rejected for those reasons because fixing style is virtually nothing real but 
it causes a real problem.


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[GitHub] [spark] HyukjinKwon commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.

2019-06-13 Thread GitBox
HyukjinKwon commented on issue #24858: [MINOR][SQL] Avoid wildcard import 
Network in KafkaRDD.
URL: https://github.com/apache/spark/pull/24858#issuecomment-501967712
 
 
   Where was the consensus made? They have been usually rejected.
   
   Since we're going ahead for Spark 3, some changes like this are being merged 
when they fix multiple cleanups but the changes like this are not encouraged.


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[GitHub] [spark] hehuiyuan commented on issue #24839: [SPARK-27258][K8S]Deal with the k8s resource names that don't match their own regular expression

2019-06-13 Thread GitBox
hehuiyuan commented on issue #24839: [SPARK-27258][K8S]Deal with the k8s 
resource names that don't match their own regular expression
URL: https://github.com/apache/spark/pull/24839#issuecomment-501967563
 
 
   > LGTM wrt validation part.
   
   Hi  , how is progress now?


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[GitHub] [spark] AmplabJenkins commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

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[GitHub] [spark] beliefer commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.

2019-06-13 Thread GitBox
beliefer commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network 
in KafkaRDD.
URL: https://github.com/apache/spark/pull/24858#issuecomment-501958247
 
 
   > The changes will introduce lots of conflicts to other PRs, I would suggest 
to not fix it unless we have a consensus on this style change.
   
   Thanks for your review first! I think these conflicts is easy to solve. We 
have a consensus on this style change is the important thing. 


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[GitHub] [spark] SparkQA commented on issue #24706: [SPARK-23128][SQL] A new approach to do adaptive execution in Spark SQL

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[GitHub] [spark] SparkQA commented on issue #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

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[GitHub] [spark] zhengruifeng opened a new pull request #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

2019-06-13 Thread GitBox
zhengruifeng opened a new pull request #24870: [SPARK-27018][Core] Fix 
incorrect removal of checkpointed file in PeriodicCheckpointer
URL: https://github.com/apache/spark/pull/24870
 
 
   ## What changes were proposed in this pull request?
   remove the oldest checkpointed file only if next checkpoint exists.
   I think this patch needs back-porting.
   
   ## How was this patch tested?
   existing test
   
   local check in spark-shell with following suite:
   ```
   import org.apache.spark.ml.linalg.Vectors
   import org.apache.spark.ml.classification.GBTClassifier
   
   case class Row(features: org.apache.spark.ml.linalg.Vector, label: Int)
   
   sc.setCheckpointDir("/checkpoints")
   val trainingData = sc.parallelize(1 to 2426874, 256).map(x => 
Row(Vectors.dense(x, x + 1, x * 2 % 10), if (x % 5 == 0) 1 else 0)).toDF
   val classifier = new GBTClassifier()
 .setLabelCol("label")
 .setFeaturesCol("features")
 .setProbabilityCol("probability")
 .setMaxIter(100)
 .setMaxDepth(10)
 .setCheckpointInterval(2)
   
   classifier.fit(trainingData)
   ```
   
   
   


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[GitHub] [spark] jerryshao commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.

2019-06-13 Thread GitBox
jerryshao commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network 
in KafkaRDD.
URL: https://github.com/apache/spark/pull/24858#issuecomment-501956131
 
 
   The changes will introduce lots of conflicts to other PRs, I would suggest 
to not fix it unless we have a consensus on this style change.


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[GitHub] [spark] viirya edited a comment on issue #24867: [SPARK-28041][PYTHON] Increase minimum supported Pandas to 0.23.2

2019-06-13 Thread GitBox
viirya edited a comment on issue #24867: [SPARK-28041][PYTHON] Increase minimum 
supported Pandas to 0.23.2
URL: https://github.com/apache/spark/pull/24867#issuecomment-501951928
 
 
   Agreed. 0.23.2 sounds good.


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[GitHub] [spark] SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

2019-06-13 Thread GitBox
SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing 
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URL: https://github.com/apache/spark/pull/24869#issuecomment-501954992
 
 
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* This patch **fails Python style tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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