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https://issues.apache.org/jira/browse/SPARK-19339?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15893858#comment-15893858
]
Nick Pentreath commented on SPARK-19339:
----------------------------------------
This should be addressed by SPARK-19573 - empty (or all null) columns will
return empty Array rather than throw exception.
> StatFunctions.multipleApproxQuantiles can give NoSuchElementException: next
> on empty iterator
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-19339
> URL: https://issues.apache.org/jira/browse/SPARK-19339
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 2.0.2, 2.1.0
> Reporter: Barry Becker
> Priority: Minor
>
> This problem is easy to reproduce by running
> StatFunctions.multipleApproxQuantiles on an empty dataset, but I think it can
> occur in other cases, like if the column is all null or all one value.
> I have unit tests that can hit it in several different cases.
> The fix that I have introduced locally is to return
> {code}
> if (sampled.length == 0) 0 else sampled.last.value
> {code}
> instead of
> {code}
> sampled.last.value
> {code}
> at the end of QuantileSummaries.query.
> Below is the exception:
> {code}
> next on empty iterator
> java.util.NoSuchElementException: next on empty iterator
> at scala.collection.Iterator$$anon$2.next(Iterator.scala:39)
> at scala.collection.Iterator$$anon$2.next(Iterator.scala:37)
> at
> scala.collection.IndexedSeqLike$Elements.next(IndexedSeqLike.scala:63)
> at scala.collection.IterableLike$class.head(IterableLike.scala:107)
> at
> scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$super$head(ArrayOps.scala:186)
> at
> scala.collection.IndexedSeqOptimized$class.head(IndexedSeqOptimized.scala:126)
> at scala.collection.mutable.ArrayOps$ofRef.head(ArrayOps.scala:186)
> at
> scala.collection.TraversableLike$class.last(TraversableLike.scala:459)
> at
> scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$super$last(ArrayOps.scala:186)
> at
> scala.collection.IndexedSeqOptimized$class.last(IndexedSeqOptimized.scala:132)
> at scala.collection.mutable.ArrayOps$ofRef.last(ArrayOps.scala:186)
> at
> org.apache.spark.sql.catalyst.util.QuantileSummaries.query(QuantileSummaries.scala:207)
> at
> org.apache.spark.sql.SparkPercentileCalculator$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply$mcDD$sp(SparkPercentileCalculator.scala:91)
> at
> org.apache.spark.sql.SparkPercentileCalculator$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(SparkPercentileCalculator.scala:91)
> at
> org.apache.spark.sql.SparkPercentileCalculator$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(SparkPercentileCalculator.scala:91)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
> at scala.collection.immutable.List.map(List.scala:285)
> at
> org.apache.spark.sql.SparkPercentileCalculator$$anonfun$multipleApproxQuantiles$1.apply(SparkPercentileCalculator.scala:91)
> at
> org.apache.spark.sql.SparkPercentileCalculator$$anonfun$multipleApproxQuantiles$1.apply(SparkPercentileCalculator.scala:91)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at
> org.apache.spark.sql.SparkPercentileCalculator.multipleApproxQuantiles(SparkPercentileCalculator.scala:91)
> at
> com.mineset.spark.statistics.model.ContinuousMinesetStats.quartiles$lzycompute(ContinuousMinesetStats.scala:274)
> at
> com.mineset.spark.statistics.model.ContinuousMinesetStats.quartiles(ContinuousMinesetStats.scala:272)
> at
> com.mineset.spark.statistics.model.MinesetStats.com$mineset$spark$statistics$model$MinesetStats$$serializeContinuousFeature$1(MinesetStats.scala:66)
> at
> com.mineset.spark.statistics.model.MinesetStats$$anonfun$calculateWithColumns$1.apply(MinesetStats.scala:118)
> at
> com.mineset.spark.statistics.model.MinesetStats$$anonfun$calculateWithColumns$1.apply(MinesetStats.scala:114)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at
> com.mineset.spark.statistics.model.MinesetStats.calculateWithColumns(MinesetStats.scala:114)
> at
> com.mineset.spark.statistics.model.MinesetStats.toJson(MinesetStats.scala:46)
> at
> com.mineset.spark.statistics.model.MinesetStatsSuite$$anonfun$8.apply$mcV$sp(MinesetStatsSuite.scala:93)
> at
> com.mineset.spark.statistics.model.MinesetStatsSuite$$anonfun$8.apply(MinesetStatsSuite.scala:90)
> at
> com.mineset.spark.statistics.model.MinesetStatsSuite$$anonfun$8.apply(MinesetStatsSuite.scala:90)
> at
> org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
> at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
> at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
> at org.scalatest.Transformer.apply(Transformer.scala:22)
> at org.scalatest.Transformer.apply(Transformer.scala:20)
> at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
> at org.scalatest.Suite$class.withFixture(Suite.scala:1122)
> at org.scalatest.FunSuite.withFixture(FunSuite.scala:1555)
> at
> org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
> at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
> at org.scalatest.FunSuite.runTest(FunSuite.scala:1555)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
> at
> org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:413)
> at
> org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:401)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
> at
> org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:396)
> at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:483)
> at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:208)
> at org.scalatest.FunSuite.runTests(FunSuite.scala:1555)
> at org.scalatest.Suite$class.run(Suite.scala:1424)
> at
> org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1555)
> at
> org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
> at
> org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
> at org.scalatest.SuperEngine.runImpl(Engine.scala:545)
> at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:212)
> at
> com.mineset.spark.statistics.model.MinesetStatsSuite.org$scalatest$BeforeAndAfterAll$$super$run(MinesetStatsSuite.scala:30)
> at
> org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:257)
> at
> org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:256)
> at
> com.mineset.spark.statistics.model.MinesetStatsSuite.run(MinesetStatsSuite.scala:30)
> at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:55)
> at
> org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2563)
> at
> org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2557)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:2557)
> at
> org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1044)
> at
> org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1043)
> at
> org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:2722)
> at
> org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1043)
> at org.scalatest.tools.Runner$.run(Runner.scala:883)
> at org.scalatest.tools.Runner.run(Runner.scala)
> at
> org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2(ScalaTestRunner.java:138)
> at
> org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:28)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
> {code}
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