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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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SparkQA removed a comment on issue #24637: [SPARK-27707][SQL] Prune unnecessary 
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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] SparkQA commented on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

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[GitHub] [spark] SparkQA commented on issue #24553: [SPARK-27604][SQL] Enhance constant propagation

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SparkQA commented on issue #24553: [SPARK-27604][SQL] Enhance constant 
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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] 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 
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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 removed a comment on issue #24869: [SPARK-28045][ML][PYTHON] add missing RankingEvaluator

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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 
RankingEvaluator
URL: https://github.com/apache/spark/pull/24869#issuecomment-501953655
 
 
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* This patch **fails Python style tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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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 #24868: [SPARK-28044][ML][PYTHON] MulticlassClassificationEvaluator support more metrics

2019-06-13 Thread GitBox
SparkQA commented on issue #24868: [SPARK-28044][ML][PYTHON] 
MulticlassClassificationEvaluator support more metrics
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