Details
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Bug
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Status: Resolved
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Minor
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Resolution: Duplicate
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2.0.2, 2.1.0
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None
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None
Description
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
if (sampled.length == 0) 0 else sampled.last.value
instead of
sampled.last.value
at the end of QuantileSummaries.query.
Below is the exception:
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)
Attachments
Issue Links
- duplicates
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SPARK-19573 Make NaN/null handling consistent in approxQuantile
- Resolved
- requires
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SPARK-19573 Make NaN/null handling consistent in approxQuantile
- Resolved