Hsueh-Min Chen created SPARK-10362: -------------------------------------- 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'> -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org