Jorn, thanks for your feedback!

Can you explain how the direct support would be different from the JDBC
support?

Thanks,
D.

On Thu, Aug 3, 2017 at 7:40 AM, Jörn Franke <jornfra...@gmail.com> wrote:

> These are two different things. Spark applications themselves do not use
> JDBC - it is more for non-spark applications to access Spark DataFrames.
>
> A direct support by Ignite would make more sense. Although you have in
> theory IGFS, if the user is using HDFS, which might not be the case. It is
> now also very common to use Object stores, such as S3.
> Direct support could be leverage for interactive analysis or different
> Spark applications sharing data.
>
> > On 3. Aug 2017, at 05:12, Dmitriy Setrakyan <dsetrak...@apache.org>
> wrote:
> >
> > Igniters,
> >
> > We have had the integration with Spark Data Frames on our roadmap for a
> > while:
> > https://issues.apache.org/jira/browse/IGNITE-3084
> >
> > However, while browsing Spark documentation, I cam across the generic
> JDBC
> > data frame support in Spark:
> > https://spark.apache.org/docs/latest/sql-programming-guide.
> html#jdbc-to-other-databases
> >
> > Given that Ignite has a JDBC driver, does it mean that it transitively
> also
> > supports Spark data frames? If yes, we should document it.
> >
> > D.
>

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