In 0.8 I had problems broadcasting variables around that size, for
more info see here:
https://mail-archives.apache.org/mod_mbox/incubator-spark-user/201310.mbox/%3ccamgysq9sivs0j9dhv9qgdzp9qxgfadqkrd58b3ynbnhdgkp...@mail.gmail.com%3E

On Wed, Mar 12, 2014 at 2:12 PM, Matei Zaharia <matei.zaha...@gmail.com> wrote:
> You should try Torrent for this one, it will be faster. It’s still
> experimental but I believe it works pretty well and it just needs more
> testing to become the default.
>
> Matei
>
> On Mar 12, 2014, at 1:12 PM, Aureliano Buendia <buendia...@gmail.com> wrote:
>
> Is TorrentBroadcastFactory out of beta? IS it preferred over
> HttpBroadcastFactory for large broadcasts?
>
> What are the benefits of HttpBroadcastFactory as the default factory?
>
>
> On Wed, Mar 12, 2014 at 7:09 PM, Stephen Boesch <java...@gmail.com> wrote:
>>
>> Hi Josh,
>>   So then   2^31 (2.2Bilion) * 2^6  (length of double)  = 128GB  would be
>> max array byte length with Doubles?
>>
>>
>> 2014-03-12 11:30 GMT-07:00 Josh Marcus <jmar...@meetup.com>:
>>
>>> Aureliano,
>>>
>>> Just to answer your second question (unrelated to Spark), arrays in java
>>> and scala can't be larger than the maximum value of an Integer
>>> (Integer.MAX_VALUE), which means that arrays are limited to about 2.2
>>> billion elements.
>>>
>>> --j
>>>
>>>
>>>
>>> On Wed, Mar 12, 2014 at 1:08 PM, Aureliano Buendia <buendia...@gmail.com>
>>> wrote:
>>>>
>>>> Hi,
>>>>
>>>> I asked a similar question a while ago, didn't get any answers.
>>>>
>>>> I'd like to share a 10 gb double array between 50 to 100 workers. The
>>>> physical memory of workers is over 40 gb, so it can fit in each memory. The
>>>> reason I'm sharing this array is that a cartesian operation is applied to
>>>> this array, and I want to avoid network shuffling.
>>>>
>>>> 1. Is Spark broadcast built for pushing variables of gb size? Does it
>>>> need special configurations (eg akka config, etc) to work under this
>>>> condition?
>>>>
>>>> 2. (Not directly related to spark) Is the an upper limit for scala/java
>>>> arrays other than the physical memory? Do they stop working when the array
>>>> elements count exceeds a certain number?
>>>
>>>
>>
>
>

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