[jira] [Created] (SPARK-23950) Coalescing an empty dataframe to 1 partition

["João Neves (JIRA)" <ji...@apache.org>]

João Neves created SPARK-23950:
----------------------------------

             Summary: Coalescing an empty dataframe to 1 partition
                 Key: SPARK-23950
                 URL: https://issues.apache.org/jira/browse/SPARK-23950
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.2.1
         Environment: Operating System: Windows 7

Tested in Jupyter notebooks using Python 2.7.14 and Python 3.6.3.

Hardware specs not relevant to the issue.
            Reporter: João Neves


Coalescing an empty dataframe to 1 partition returns an error.

The funny thing is that coalescing an empty dataframe to 2 or more partitions seem to work.

The test case is the following:
{code}
from pyspark.sql.types import StructType

df = spark.createDataFrame(spark.sparkContext.emptyRDD(), StructType([]))

print(df.coalesce(2).count())
print(df.coalesce(3).count())
print(df.coalesce(4).count())

df.coalesce(1).count(){code}
Output:
{code:java}
0
0
0
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-5-c067400f2ef0> in <module>()
7 print(df.coalesce(4).count())
8 
----> 9 print(df.coalesce(1).count())

C:\spark-2.2.1-bin-hadoop2.7\python\pyspark\sql\dataframe.py in count(self)
425 2
426 """
--> 427 return int(self._jdf.count())
428 
429 @ignore_unicode_prefix

c:\python36\lib\site-packages\py4j\java_gateway.py in __call__(self, *args)
1131 answer = self.gateway_client.send_command(command)
1132 return_value = get_return_value(
-> 1133 answer, self.gateway_client, self.target_id, self.name)
1134 
1135 for temp_arg in temp_args:

C:\spark-2.2.1-bin-hadoop2.7\python\pyspark\sql\utils.py in deco(*a, **kw)
61 def deco(*a, **kw):
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
65 s = e.java_exception.toString()

c:\python36\lib\site-packages\py4j\protocol.py in get_return_value(answer, gateway_client, target_id, name)
317 raise Py4JJavaError(
318 "An error occurred while calling {0}{1}{2}.\n".
--> 319 format(target_id, ".", name), value)
320 else:
321 raise Py4JError(

Py4JJavaError: An error occurred while calling o176.count.
: 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$$super$head(ArrayOps.scala:186)
at scala.collection.IndexedSeqOptimized$class.head(IndexedSeqOptimized.scala:126)
at scala.collection.mutable.ArrayOps$ofRef.head(ArrayOps.scala:186)
at org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2435)
at org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2434)
at org.apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2842)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2841)
at org.apache.spark.sql.Dataset.count(Dataset.scala:2434)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
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(Unknown Source){code}
Shouldn't this be consistent?

Thank you very much.



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