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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