(Sorry Mehmet, I'm seeing just now your first reply with the link to SO; it had 
first gone to my spam folder :-/ )


On 2017-09-14 10:02 CEST, GRANDE Johan Ext DTSI/DSI wrote:

Well if the order cannot be guaranteed in case of a failure (or at all since 
failure can happen transparently), what does it mean to sort an RDD (method 
sortBy)?


On 2017-09-14 03:36 CEST mehmet.su...@gmail.com wrote:

I think it is one of the conceptual difference in Spark compare to other 
languages, there is no indexing in plain RDDs, This was the thread with Ankit:

Yes. So order preservation can not be guaranteed in the case of failure. Also 
not sure if partitions are ordered. Can you get the same sequence of partitions 
in mapPartition?

On 13 Sep 2017 19:54, "Ankit Maloo" <ankitmaloo1...@gmail.com> wrote:
>
> Rdd are fault tolerant as it can be recomputed using DAG without storing the 
> intermediate RDDs.
>
> On 13-Sep-2017 11:16 PM, "Suzen, Mehmet" <su...@acm.org> wrote:
>>
>> But what happens if one of the partitions fail, how fault tolerance recover 
>> elements in other partitions.

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