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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'
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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] AmplabJenkins commented 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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[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
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 ... This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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
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` This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] beliefer commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] beliefer closed pull request #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.
beliefer closed pull request #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD. URL: https://github.com/apache/spark/pull/24858 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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
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? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins 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 #24043: [SPARK-11412][SQL] Support merge schema for ORC
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[GitHub] [spark] SparkQA removed a comment on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC
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[GitHub] [spark] SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator
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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] SparkQA removed a comment 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.
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] HyukjinKwon commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] hehuiyuan commented on issue #24839: [SPARK-27258][K8S]Deal with the k8s resource names that don't match their own regular expression
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? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] beliefer commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] [spark] zhengruifeng opened a new pull request #24870: [SPARK-27018][Core] Fix incorrect removal of checkpointed file in PeriodicCheckpointer
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) ``` This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] jerryshao commented on issue #24858: [MINOR][SQL] Avoid wildcard import Network in KafkaRDD.
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] viirya edited a comment on issue #24867: [SPARK-28041][PYTHON] Increase minimum supported Pandas to 0.23.2
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. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator
AmplabJenkins removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator URL: https://github.com/apache/spark/pull/24869#issuecomment-501955004 Test FAILed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/106500/ Test FAILed. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator
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[GitHub] [spark] AmplabJenkins commented 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
SparkQA removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator URL: https://github.com/apache/spark/pull/24869#issuecomment-501954454 **[Test build #106500 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106500/testReport)** for PR 24869 at commit [`28b1c57`](https://github.com/apache/spark/commit/28b1c571e1d2365f418b4c0df14e99de6ab313b0). This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] AmplabJenkins removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator
AmplabJenkins removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator URL: https://github.com/apache/spark/pull/24869#issuecomment-501955000 Merged build finished. Test FAILed. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] [spark] SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator
SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator URL: https://github.com/apache/spark/pull/24869#issuecomment-501954992 **[Test build #106500 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/106500/testReport)** for PR 24869 at commit [`28b1c57`](https://github.com/apache/spark/commit/28b1c571e1d2365f418b4c0df14e99de6ab313b0). * This patch **fails Python style tests**. * This patch merges cleanly. * This patch adds no public classes. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org