Andreas Maier created SPARK-22249: ------------------------------------- Summary: UnsupportedOperationException: empty.reduceLeft when caching a dataframe Key: SPARK-22249 URL: https://issues.apache.org/jira/browse/SPARK-22249 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 2.2.0 Environment: $ uname -a Darwin MAC-UM-024.local 16.7.0 Darwin Kernel Version 16.7.0: Thu Jun 15 17:36:27 PDT 2017; root:xnu-3789.70.16~2/RELEASE_X86_64 x86_64 $ pyspark --version Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 2.2.0 /_/ Using Scala version 2.11.8, Java HotSpot(TM) 64-Bit Server VM, 1.8.0_92 Branch Compiled by user jenkins on 2017-06-30T22:58:04Z Revision Url Reporter: Andreas Maier
It seems that the {{isin()}} method with an empty list as argument only works, if the dataframe is not cached. If it is cached, it results in an exception. To reproduce {code:java} $ pyspark >>> df = spark.createDataFrame([pyspark.Row(KEY="value")]) >>> df.where(df["KEY"].isin([])).show() +---+ |KEY| +---+ +---+ >>> df.cache() DataFrame[KEY: string] >>> df.where(df["KEY"].isin([])).show() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/anaconda3/envs/<myenv>/lib/python3.6/site-packages/pyspark/sql/dataframe.py", line 336, in show print(self._jdf.showString(n, 20)) File "/usr/local/anaconda3/envs/<myenv>/lib/python3.6/site-packages/pyspark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__ File "/usr/local/anaconda3/envs/<myenv>/lib/python3.6/site-packages/pyspark/sql/utils.py", line 63, in deco return f(*a, **kw) File "/usr/local/anaconda3/envs/<myenv>/lib/python3.6/site-packages/pyspark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o302.showString. : java.lang.UnsupportedOperationException: empty.reduceLeft at scala.collection.TraversableOnce$class.reduceLeft(TraversableOnce.scala:180) at scala.collection.mutable.ArrayBuffer.scala$collection$IndexedSeqOptimized$$super$reduceLeft(ArrayBuffer.scala:48) at scala.collection.IndexedSeqOptimized$class.reduceLeft(IndexedSeqOptimized.scala:74) at scala.collection.mutable.ArrayBuffer.reduceLeft(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.reduce(TraversableOnce.scala:208) at scala.collection.AbstractTraversable.reduce(Traversable.scala:104) at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$1.applyOrElse(InMemoryTableScanExec.scala:107) at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$1.applyOrElse(InMemoryTableScanExec.scala:71) at scala.PartialFunction$Lifted.apply(PartialFunction.scala:223) at scala.PartialFunction$Lifted.apply(PartialFunction.scala:219) at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$2.apply(InMemoryTableScanExec.scala:112) at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$2.apply(InMemoryTableScanExec.scala:111) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241) at scala.collection.immutable.List.flatMap(List.scala:344) at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec.<init>(InMemoryTableScanExec.scala:111) at org.apache.spark.sql.execution.SparkStrategies$InMemoryScans$$anonfun$3.apply(SparkStrategies.scala:307) at org.apache.spark.sql.execution.SparkStrategies$InMemoryScans$$anonfun$3.apply(SparkStrategies.scala:307) at org.apache.spark.sql.execution.SparkPlanner.pruneFilterProject(SparkPlanner.scala:99) at org.apache.spark.sql.execution.SparkStrategies$InMemoryScans$.apply(SparkStrategies.scala:303) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:62) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:62) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439) at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:77) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:74) at scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) at scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157) at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:74) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:66) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:92) at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:84) at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:80) at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:89) at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:89) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2832) at org.apache.spark.sql.Dataset.head(Dataset.scala:2153) at org.apache.spark.sql.Dataset.take(Dataset.scala:2366) at org.apache.spark.sql.Dataset.showString(Dataset.scala:245) 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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Thread.java:745) {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org