Hi,
I am using pyspark shell and am trying to create an rdd from numpy matrix
rdd = sc.parallelize(matrix)
I am getting the following error:
JVMDUMP039I Processing dump event "systhrow", detail
"java/lang/OutOfMemoryError" at 2014/09/10 22:41:44 - please wait.
JVMDUMP032I JVM requested Heap dump using
'/global/u2/m/msingh/heapdump.20140910.224144.29660.0005.phd' in response
to an event
JVMDUMP010I Heap dump written to
/global/u2/m/msingh/heapdump.20140910.224144.29660.0005.phd
JVMDUMP032I JVM requested Java dump using
'/global/u2/m/msingh/javacore.20140910.224144.29660.0006.txt' in response
to an event
JVMDUMP010I Java dump written to
/global/u2/m/msingh/javacore.20140910.224144.29660.0006.txt
JVMDUMP032I JVM requested Snap dump using
'/global/u2/m/msingh/Snap.20140910.224144.29660.0007.trc' in response to an
event
JVMDUMP010I Snap dump written to
/global/u2/m/msingh/Snap.20140910.224144.29660.0007.trc
JVMDUMP013I Processed dump event "systhrow", detail
"java/lang/OutOfMemoryError".
Exception AttributeError: "'SparkContext' object has no attribute '_jsc'"
in <bound method SparkContext.__del__ of <pyspark.context.SparkContext
object at 0x11f9450>> ignored
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/common/usg/spark/1.0.2/python/pyspark/context.py", line 271,
in parallelize
jrdd = readRDDFromFile(self._jsc, tempFile.name, numSlices)
File
"/usr/common/usg/spark/1.0.2/python/lib/py4j-0.8.1-src.zip/py4j/java_gateway.py",
line 537, in __call__
File
"/usr/common/usg/spark/1.0.2/python/lib/py4j-0.8.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
py4j.protocol.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:279)
at org.apache.spark.api.python.PythonRDD.readRDDFromFile(PythonRDD.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:88)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:55)
at java.lang.reflect.Method.invoke(Method.java:618)
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:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:804)
I did try to setSystemProperty....
sc.setSystemProperty("spark.executor.memory", "20g")
How do i increase jvm heap from the shell?
--
Mohit
"When you want success as badly as you want the air, then you will get it.
There is no other secret of success."
-Socrates
