Description
>>> 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)
Attachments
Issue Links
- is related to
-
SPARK-32301 Add a test case for toPandas to work with empty partitioned Spark DataFrame
- Resolved
- links to