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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/07/27 18:13:00 UTC
[jira] [Commented] (SPARK-21550) approxQuantiles throws "next on
empty iterator" on empty data
[ https://issues.apache.org/jira/browse/SPARK-21550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16103629#comment-16103629 ]
Sean Owen commented on SPARK-21550:
-----------------------------------
I think this was fixed in https://issues.apache.org/jira/browse/SPARK-19573
> approxQuantiles throws "next on empty iterator" on empty data
> -------------------------------------------------------------
>
> Key: SPARK-21550
> URL: https://issues.apache.org/jira/browse/SPARK-21550
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: peay
>
> The documentation says:
> {code}
> null and NaN values will be removed from the numerical column before calculation. If
> the dataframe is empty or the column only contains null or NaN, an empty array is returned.
> {code}
> However, this small pyspark example
> {code}
> sql_context.range(10).filter(col("id") == 42).approxQuantile("id", [0.99], 0.001)
> {code}
> throws
> {code}
> Py4JJavaError: An error occurred while calling o3493.approxQuantile.
> : 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$$super$head(ArrayOps.scala:186)
> at scala.collection.IndexedSeqOptimized$class.head(IndexedSeqOptimized.scala:126)
> at scala.collection.mutable.ArrayOps$ofRef.head(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.last(TraversableLike.scala:431)
> at scala.collection.mutable.ArrayOps$ofRef.scala$collection$IndexedSeqOptimized$$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.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply$mcDD$sp(StatFunctions.scala:92)
> at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(StatFunctions.scala:92)
> at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$multipleApproxQuantiles$1$$anonfun$apply$1.apply(StatFunctions.scala:92)
> {code}
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