Yes it is, you have some more customizable options over here
http://spark.apache.org/docs/1.2.0/configuration.html#compression-and-serialization


Thanks
Best Regards

On Sun, Feb 22, 2015 at 11:47 PM, Tassilo Klein <[email protected]> wrote:

> Hi Akhil,
>
> thanks for your reply. I am using the latest version of Spark 1.2.1 (also
> tried 1.3 developer branch). If I am not mistaken the TorrentBroadcast is
> the default there, isn't it?
>
> Thanks,
>  Tassilo
>
> On Sun, Feb 22, 2015 at 10:59 AM, Akhil Das <[email protected]>
> wrote:
>
>> Did you try with torrent broadcast factory?
>>
>> Thanks
>> Best Regards
>>
>> On Sun, Feb 22, 2015 at 3:29 PM, TJ Klein <[email protected]> wrote:
>>
>>> Hi,
>>>
>>> I am trying to broadcast large objects (order of a couple of 100 MBs).
>>> However, I keep getting errors when trying to do so:
>>>
>>> Traceback (most recent call last):
>>>   File "/LORM_experiment.py", line 510, in <module>
>>>     broadcast_gradient_function = sc.broadcast(gradient_function)
>>>   File "/scratch/users/213444/spark/python/pyspark/context.py", line
>>> 643, in
>>> broadcast
>>>     return Broadcast(self, value, self._pickled_broadcast_vars)
>>>   File "/scratch/users/213444/spark/python/pyspark/broadcast.py", line
>>> 65,
>>> in __init__
>>>     self._path = self.dump(value, f)
>>>   File "/scratch/users/213444/spark/python/pyspark/broadcast.py", line
>>> 82,
>>> in dump
>>>     cPickle.dump(value, f, 2)
>>> SystemError: error return without exception set
>>> 15/02/22 04:52:14 ERROR Utils: Uncaught exception in thread delete Spark
>>> local dirs
>>> java.lang.IllegalStateException: Shutdown in progress
>>>
>>> Any idea how to prevent that? I got plenty of RAM, so there shouldn't be
>>> any
>>> problem with that.
>>>
>>> Thanks,
>>>  Tassilo
>>>
>>>
>>>
>>> --
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>>
>

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