Hi,

Thank you all for your answers,

If I correctly understand, actions (in my case foreach) can be run
concurrently and simultaneously on the SAME rdd, (which is logical because
they are read only object). however, I want to know if the same workers are
used for the concurrent analysis ?

Thank you

2016-01-15 21:11 GMT+01:00 Jakob Odersky <joder...@gmail.com>:

> I stand corrected. How considerable are the benefits though? Will the
> scheduler be able to dispatch jobs from both actions simultaneously (or on
> a when-workers-become-available basis)?
>
> On 15 January 2016 at 11:44, Koert Kuipers <ko...@tresata.com> wrote:
>
>> we run multiple actions on the same (cached) rdd all the time, i guess in
>> different threads indeed (its in akka)
>>
>> On Fri, Jan 15, 2016 at 2:40 PM, Matei Zaharia <matei.zaha...@gmail.com>
>> wrote:
>>
>>> RDDs actually are thread-safe, and quite a few applications use them
>>> this way, e.g. the JDBC server.
>>>
>>> Matei
>>>
>>> On Jan 15, 2016, at 2:10 PM, Jakob Odersky <joder...@gmail.com> wrote:
>>>
>>> I don't think RDDs are threadsafe.
>>> More fundamentally however, why would you want to run RDD actions in
>>> parallel? The idea behind RDDs is to provide you with an abstraction for
>>> computing parallel operations on distributed data. Even if you were to call
>>> actions from several threads at once, the individual executors of your
>>> spark environment would still have to perform operations sequentially.
>>>
>>> As an alternative, I would suggest to restructure your RDD
>>> transformations to compute the required results in one single operation.
>>>
>>> On 15 January 2016 at 06:18, Jonathan Coveney <jcove...@gmail.com>
>>> wrote:
>>>
>>>> Threads
>>>>
>>>>
>>>> El viernes, 15 de enero de 2016, Kira <mennou...@gmail.com> escribió:
>>>>
>>>>> Hi,
>>>>>
>>>>> Can we run *simultaneous* actions on the *same RDD* ?; if yes how can
>>>>> this
>>>>> be done ?
>>>>>
>>>>> Thank you,
>>>>> Regards
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> View this message in context:
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>>>>>
>>>
>>>
>>
>

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