I think it'd be great, as it will open even deeper level of the integration
between the two projects!
For the reference, there's already a JIRA opened for this feature
https://issues.apache.org/jira/browse/IGNITE-389
Cos
On Sat, Apr 11, 2015 at 12:00PM, Devl Devel wrote:
> Hi Ingiters
>
> Spark has an RDD interface which lets you plug in various back-ends like
> HDFS and JDBC etc. I think it would be a great idea if the community could
> leverage Ignites in-memory file system to provide blazing fast analytics
> using both ingite and spark.
>
> Here is the interface :
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/RDD.scala
>
> The idea would be to compute splits and partitions from ignitefs and use
> these in an RDD, an example is:
>
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
>
> Would like to know whether this is feasible, as it would be a useful
> addition to both communities and help complement other implementations for
> tachyon for example.
>
> Cheers
> Devl
