Amount of partitions depends on configured affinity function.

RendezvousAffinityFunction with 1024 partitions is default for
replicated or partitioned cache (for single node too). So for example
you can perform scan query by partitions in concurrent threads.
Another example of parallel processing is IgniteCompute.affinityRun()
and IgniteCompute.affinityCall() that can use partition ID as
parameter.

Local cache always has only one partition.

On Sun, Dec 25, 2016 at 11:04 AM, rishi007bansod
<rishi007ban...@gmail.com> wrote:
> Is there any concept of partitions in Ignite for parallel processing of data
> within single node. That is, can there be more than one partitions within
> one node for multi-threading queries within single node. If there is any
> option, how can we set it?
>
>
>
> --
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