I would prefer sharing the spark context  and using FAIR scheduler for user
concurrency

Le 27 oct. 2016 12:48 PM, "Mich Talebzadeh" <mich.talebza...@gmail.com> a
écrit :

> thanks Vince.
>
> So Ignite uses some hash/in-memory indexing.
>
> The question is in practice is there much use case to use these two
> fabrics for sharing RDDs.
>
> Remember all RDBMSs do this through shared memory.
>
> In layman's term if I have two independent spark-submit running, can they
> share result set. For example the same tempTable etc?
>
> Cheers
>
> Dr Mich Talebzadeh
>
>
>
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> On 27 October 2016 at 11:44, vincent gromakowski <
> vincent.gromakow...@gmail.com> wrote:
>
>> Ignite works only with spark 1.5
>> Ignite leverage indexes
>> Alluxio provides tiering
>> Alluxio easily integrates with underlying FS
>>
>> Le 27 oct. 2016 12:39 PM, "Mich Talebzadeh" <mich.talebza...@gmail.com>
>> a écrit :
>>
>>> Thanks Chanh,
>>>
>>> Can it share RDDs.
>>>
>>> Personally I have not used either Alluxio or Ignite.
>>>
>>>
>>>    1. Are there major differences between these two
>>>    2. Have you tried Alluxio for sharing Spark RDDs and if so do you
>>>    have any experience you can kindly share
>>>
>>> Regards
>>>
>>>
>>> Dr Mich Talebzadeh
>>>
>>>
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>>> On 27 October 2016 at 11:29, Chanh Le <giaosu...@gmail.com> wrote:
>>>
>>>> Hi Mich,
>>>> Alluxio is the good option to go.
>>>>
>>>> Regards,
>>>> Chanh
>>>>
>>>> On Oct 27, 2016, at 5:28 PM, Mich Talebzadeh <mich.talebza...@gmail.com>
>>>> wrote:
>>>>
>>>>
>>>> There was a mention of using Zeppelin to share RDDs with many users.
>>>> From the notes on Zeppelin it appears that this is sharing UI and I am not
>>>> sure how easy it is going to be changing the result set with different
>>>> users modifying say sql queries.
>>>>
>>>> There is also the idea of caching RDDs with something like Apache
>>>> Ignite. Has anyone really tried this. Will that work with multiple
>>>> applications?
>>>>
>>>> It looks feasible as RDDs are immutable and so are registered
>>>> tempTables etc.
>>>>
>>>> Thanks
>>>>
>>>>
>>>> Dr Mich Talebzadeh
>>>>
>>>>
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>>>
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