You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/10/17 07:44:02 UTC
[jira] [Resolved] (SPARK-19317) UnsupportedOperationException:
empty.reduceLeft in LinearSeqOptimized
[ https://issues.apache.org/jira/browse/SPARK-19317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-19317.
-------------------------------
Resolution: Duplicate
> UnsupportedOperationException: empty.reduceLeft in LinearSeqOptimized
> ---------------------------------------------------------------------
>
> Key: SPARK-19317
> URL: https://issues.apache.org/jira/browse/SPARK-19317
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.0
> Reporter: Barry Becker
> Priority: Minor
>
> I wish I had more of a simple reproducible case to give, but I got the below exception while selecting null values in one of the columns of a dataframe.
> My client code that failed was
> df.filter(filterExp).count()
> where the filter expression was something like "someCall.isin() || someCall.isNulll". Based on the stack trace, I think the problem may be the "isin()" in the expression - since there are no values to match in it.
> There were 412 nulls out of 716,000 total rows for the column being filtered.
> The exception seems to indicate that spark is trying to do reduceLeft on an empty list, but the dataset is not empty.
> {code}
> java.lang.UnsupportedOperationException: empty.reduceLeftscala.collection.LinearSeqOptimized$class.reduceLeft(LinearSeqOptimized.scala:137) scala.collection.immutable.List.reduceLeft(List.scala:84) scala.collection.TraversableOnce$class.reduce(TraversableOnce.scala:208) scala.collection.AbstractTraversable.reduce(Traversable.scala:104) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$1.applyOrElse(InMemoryTableScanExec.scala:90) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$1.applyOrElse(InMemoryTableScanExec.scala:54) scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$1.applyOrElse(InMemoryTableScanExec.scala:61) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$1.applyOrElse(InMemoryTableScanExec.scala:54) scala.PartialFunction$Lifted.apply(PartialFunction.scala:223) scala.PartialFunction$Lifted.apply(PartialFunction.scala:219) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$2.apply(InMemoryTableScanExec.scala:95) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$2.apply(InMemoryTableScanExec.scala:94) scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) scala.collection.immutable.List.foreach(List.scala:381) scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241) scala.collection.immutable.List.flatMap(List.scala:344) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec.(InMemoryTableScanExec.scala:94) org.apache.spark.sql.execution.SparkStrategies$InMemoryScans$$anonfun$6.apply(SparkStrategies.scala:306) org.apache.spark.sql.execution.SparkStrategies$InMemoryScans$$anonfun$6.apply(SparkStrategies.scala:306) org.apache.spark.sql.execution.SparkPlanner.pruneFilterProject(SparkPlanner.scala:96) org.apache.spark.sql.execution.SparkStrategies$InMemoryScans$.apply(SparkStrategies.scala:302) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:62) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:62) scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439) org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:77) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:74) scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) scala.collection.Iterator$class.foreach(Iterator.scala:893) scala.collection.AbstractIterator.foreach(Iterator.scala:1336) scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157) scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:74) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:66) scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:77) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:74) scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) scala.collection.Iterator$class.foreach(Iterator.scala:893) scala.collection.AbstractIterator.foreach(Iterator.scala:1336) scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157) scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:74) org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:66) scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92) org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:79) org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:75) org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:84) org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84) org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2774) org.apache.spark.sql.Dataset.count(Dataset.scala:2404) mypackage.Selection(Selection.scala:34)
> {code}
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org