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Posted to issues@spark.apache.org by "Hsueh-Min Chen (JIRA)" <ji...@apache.org> on 2015/08/31 11:07:46 UTC
[jira] [Created] (SPARK-10362) Cannot create DataFrame from large
pandas.DataFrame
Hsueh-Min Chen created SPARK-10362:
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Summary: Cannot create DataFrame from large pandas.DataFrame
Key: SPARK-10362
URL: https://issues.apache.org/jira/browse/SPARK-10362
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 1.4.1
Environment: Ubuntu 14.04
Spark 1.4.1
Reporter: Hsueh-Min Chen
Priority: Minor
I tried to convert a pandas.DataFrame object to pyspark's DataFrame. It works for small size of pandas.DataFrame (~10000) but failed for larger size.
>>> sqlc = pyspark.sql.SQLContext(sc)
>>> log = sqlc.createDataFrame(logs.head(10000000))
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
/home/elsdrm/spark-1.4.1-bin-hadoop2.6/python/pyspark/sql/context.py in createDataFrame(self, data, schema, samplingRatio)
325 # data could be list, tuple, generator ...
--> 326 rdd = self._sc.parallelize(data)
327 except Exception:
/home/elsdrm/spark-1.4.1-bin-hadoop2.6/python/pyspark/context.py in parallelize(self, c, numSlices)
395 readRDDFromFile = self._jvm.PythonRDD.readRDDFromFile
--> 396 jrdd = readRDDFromFile(self._jsc, tempFile.name, numSlices)
397 return RDD(jrdd, self, serializer)
/home/elsdrm/spark-1.4.1-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
537 return_value = get_return_value(answer, self.gateway_client,
--> 538 self.target_id, self.name)
539
/home/elsdrm/spark-1.4.1-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
299 'An error occurred while calling {0}{1}{2}.\n'.
--> 300 format(target_id, '.', name), value)
301 else:
Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.readRDDFromFile.
: java.lang.OutOfMemoryError: Java heap space
at org.apache.spark.api.python.PythonRDD$.readRDDFromFile(PythonRDD.scala:389)
at org.apache.spark.api.python.PythonRDD.readRDDFromFile(PythonRDD.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-12-32fb25f5be64> in <module>()
----> 1 log = sqlc.createDataFrame(logs.head(10000000))
/home/elsdrm/spark-1.4.1-bin-hadoop2.6/python/pyspark/sql/context.py in createDataFrame(self, data, schema, samplingRatio)
326 rdd = self._sc.parallelize(data)
327 except Exception:
--> 328 raise TypeError("cannot create an RDD from type: %s" % type(data))
329 else:
330 rdd = data
TypeError: cannot create an RDD from type: <class 'list'>
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