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Posted to issues@spark.apache.org by "Andreas Maier (JIRA)" <ji...@apache.org> on 2017/10/11 12:00:05 UTC
[jira] [Created] (SPARK-22249) UnsupportedOperationException:
empty.reduceLeft when caching a dataframe
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}
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