[ https://issues.apache.org/jira/browse/SPARK-32300?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bryan Cutler reassigned SPARK-32300: ------------------------------------ Assignee: Hyukjin Kwon > toPandas with no partitions should work > --------------------------------------- > > Key: SPARK-32300 > URL: https://issues.apache.org/jira/browse/SPARK-32300 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 2.4.6 > Reporter: Hyukjin Kwon > Assignee: Hyukjin Kwon > Priority: Major > > {code} > >>> spark.sparkContext.emptyRDD().toDF("col1 int").toPandas() > An error occurred while calling o158.getResult. > : org.apache.spark.SparkException: Exception thrown in awaitResult: > at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226) > at > org.apache.spark.api.python.PythonServer.getResult(PythonRDD.scala:874) > at > org.apache.spark.api.python.PythonServer.getResult(PythonRDD.scala:870) > 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:282) > at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:238) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.lang.NegativeArraySizeException > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1$$anonfun$apply$17.apply(Dataset.scala:3293) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1$$anonfun$apply$17.apply(Dataset.scala:3287) > at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370) > at > org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3369) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1.apply(Dataset.scala:3287) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1.apply(Dataset.scala:3286) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7$$anonfun$apply$3.apply$mcV$sp(PythonRDD.scala:456) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7$$anonfun$apply$3.apply(PythonRDD.scala:456) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7$$anonfun$apply$3.apply(PythonRDD.scala:456) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7.apply(PythonRDD.scala:457) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7.apply(PythonRDD.scala:453) > at > org.apache.spark.api.python.SocketFuncServer.handleConnection(PythonRDD.scala:994) > at > org.apache.spark.api.python.SocketFuncServer.handleConnection(PythonRDD.scala:988) > at > org.apache.spark.api.python.PythonServer$$anonfun$11$$anonfun$apply$9.apply(PythonRDD.scala:853) > at scala.util.Try$.apply(Try.scala:192) > at > org.apache.spark.api.python.PythonServer$$anonfun$11.apply(PythonRDD.scala:853) > at > org.apache.spark.api.python.PythonServer$$anonfun$11.apply(PythonRDD.scala:852) > at > org.apache.spark.api.python.PythonServer$$anon$1.run(PythonRDD.scala:908) > warnings.warn(msg) > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > File > "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/dataframe.py", > line 2132, in toPandas > batches = self.toDF(*tmp_column_names)._collectAsArrow() > File > "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/dataframe.py", > line 2223, in _collectAsArrow > jsocket_auth_server.getResult() # Join serving thread and raise any > exceptions > File > "/Users/hyukjin.kwon/workspace/forked/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", > line 1257, in __call__ > File > "/Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/utils.py", > line 63, in deco > return f(*a, **kw) > File > "/Users/hyukjin.kwon/workspace/forked/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", > line 328, in get_return_value > py4j.protocol.Py4JJavaError: An error occurred while calling o158.getResult. > : org.apache.spark.SparkException: Exception thrown in awaitResult: > at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226) > at > org.apache.spark.api.python.PythonServer.getResult(PythonRDD.scala:874) > at > org.apache.spark.api.python.PythonServer.getResult(PythonRDD.scala:870) > 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:282) > at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:238) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.lang.NegativeArraySizeException > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1$$anonfun$apply$17.apply(Dataset.scala:3293) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1$$anonfun$apply$17.apply(Dataset.scala:3287) > at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370) > at > org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3369) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1.apply(Dataset.scala:3287) > at > org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1.apply(Dataset.scala:3286) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7$$anonfun$apply$3.apply$mcV$sp(PythonRDD.scala:456) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7$$anonfun$apply$3.apply(PythonRDD.scala:456) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7$$anonfun$apply$3.apply(PythonRDD.scala:456) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7.apply(PythonRDD.scala:457) > at > org.apache.spark.api.python.PythonRDD$$anonfun$7.apply(PythonRDD.scala:453) > at > org.apache.spark.api.python.SocketFuncServer.handleConnection(PythonRDD.scala:994) > at > org.apache.spark.api.python.SocketFuncServer.handleConnection(PythonRDD.scala:988) > at > org.apache.spark.api.python.PythonServer$$anonfun$11$$anonfun$apply$9.apply(PythonRDD.scala:853) > at scala.util.Try$.apply(Try.scala:192) > at > org.apache.spark.api.python.PythonServer$$anonfun$11.apply(PythonRDD.scala:853) > at > org.apache.spark.api.python.PythonServer$$anonfun$11.apply(PythonRDD.scala:852) > at > org.apache.spark.api.python.PythonServer$$anon$1.run(PythonRDD.scala:908) > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org