I see, thanks. Yes, I have tried already all sorts of changes to these
parameters. Unfortunately, none of seem had any impact.

Thanks,
 Tassilo

On Sun, Feb 22, 2015 at 1:24 PM, Akhil Das <[email protected]>
wrote:

> 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
>>>>
>>>>
>>>>
>>>> --
>>>> View this message in context:
>>>> http://apache-spark-user-list.1001560.n3.nabble.com/Broadcasting-Large-Objects-Fails-tp21752.html
>>>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>>>
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>>>
>>
>

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