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. >