Thanks all for your advice.

As I understand in layman's term if I had two applications running
successfully where app 2 was dependent on app 1 I would finish app 1, store
the results in HDFS and the app 2 starts reading the results from HDFS and
work on it.

Using  Alluxio or others replaces HDFS with in-memory storage where app 2
can pick up app1 results from memory or even SSD and do the work.

Actually I am surprised why Spark has not incorporated this type of memory
as temporary storage.



Dr Mich Talebzadeh



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On 27 October 2016 at 11:28, 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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