[ https://issues.apache.org/jira/browse/SPARK-19317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Barry Becker updated SPARK-19317: --------------------------------- Description: 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 someColumn.isNull. 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$$anon$12.hasNext(Iterator.scala:440) org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92) org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:79) org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:75) org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:84) org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84) org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2774) org.apache.spark.sql.Dataset.count(Dataset.scala:2404) mypackage.Selection(Selection.scala:34) {code} was: I wish I had more of a simple reproducible case to give, but I got the below exception while selecting null values in one of the columns of a dataframe. My client code that failed was df.filter(filterExp).count() where the filter expression was something like someColumn.isNull. There were 412 nulls out of 716,000 total rows for the column being filtered. Its odd because I have a different, smaller dataset where I did the same thing on a column with 100 nulls out of 800 and did not get the error. The exception seems to indicate that spark is trying to do reduceLeft on an empy list. {code} java.lang.UnsupportedOperationException: empty.reduceLeftscala.collection.LinearSeqOptimized$class.reduceLeft(LinearSeqOptimized.scala:137) scala.collection.immutable.List.reduceLeft(List.scala:84) scala.collection.TraversableOnce$class.reduce(TraversableOnce.scala:208) scala.collection.AbstractTraversable.reduce(Traversable.scala:104) org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$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$lzycompute(QueryExecution.scala:84) org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84) org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2774) org.apache.spark.sql.Dataset.count(Dataset.scala:2404) mypackage.Selection(Selection.scala:34) {code} > UnsupportedOperationException: empty.reduceLeft in LinearSeqOptimized > --------------------------------------------------------------------- > > Key: SPARK-19317 > URL: https://issues.apache.org/jira/browse/SPARK-19317 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.1.0 > Reporter: Barry Becker > > I wish I had more of a simple reproducible case to give, but I got the below > exception while selecting null values in one of the columns of a dataframe. > My client code that failed was > df.filter(filterExp).count() > where the filter expression was something like someColumn.isNull. > There were 412 nulls out of 716,000 total rows for the column being filtered. > The exception seems to indicate that spark is trying to do reduceLeft on an > empty list, but the dataset is not empty. > {code} > java.lang.UnsupportedOperationException: > empty.reduceLeftscala.collection.LinearSeqOptimized$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 (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: 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