Great news, Thanks Nikolay and Val!
Nikolay, could you document the feature before the release [1]? I’ve granted you required permission. More on the doc process can be found here [2]. [1] https://issues.apache.org/jira/browse/IGNITE-7345 <https://issues.apache.org/jira/browse/IGNITE-7345> [2] https://cwiki.apache.org/confluence/display/IGNITE/How+to+Document <https://cwiki.apache.org/confluence/display/IGNITE/How+to+Document> — Denis > On Dec 29, 2017, at 1:22 PM, Valentin Kulichenko > <valentin.kuliche...@gmail.com> wrote: > > Igniters, > > Great news! We completed and merged first part of integration with Spark data > frames [1]. It contains implementation of Spark data source which allows to > use DataFrame API to query Ignite data, as well as join it with other data > frames originated from different sources. > > Next planned steps are the following: > - Implement custom execution strategy to avoid transferring data from Ignite > to Spark when possible [2]. This should give serious performance improvement > in cases when only Ignite tables participate in a query. > - Implement ability to save a data frame into Ignite via DataFrameWrite API > [3]. > > [1] https://issues.apache.org/jira/browse/IGNITE-3084 > <https://issues.apache.org/jira/browse/IGNITE-3084> > [2] https://issues.apache.org/jira/browse/IGNITE-7077 > <https://issues.apache.org/jira/browse/IGNITE-7077> > [3] https://issues.apache.org/jira/browse/IGNITE-7337 > <https://issues.apache.org/jira/browse/IGNITE-7337> > > Nikolay Izhikov, thanks for the contribution and for all the hard work! > > -Val
