[
https://issues.apache.org/jira/browse/IGNITE-7077?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16601259#comment-16601259
]
Valentin Kulichenko commented on IGNITE-7077:
---------------------------------------------
[~lzzukowski], you can join different dataframes with each other, so you can
have an Ignite dataframe joined with a non-Ignite dataframe. You will not take
advantage of all performance optimization Ignite integration provides, why it
should work.
P.S. Going forward, please ask such questions on the user list.
> Spark Data Frame Support. Strategy to convert complete query to Ignite SQL
> --------------------------------------------------------------------------
>
> Key: IGNITE-7077
> URL: https://issues.apache.org/jira/browse/IGNITE-7077
> Project: Ignite
> Issue Type: New Feature
> Components: spark
> Affects Versions: 2.3
> Reporter: Nikolay Izhikov
> Assignee: Nikolay Izhikov
> Priority: Major
> Labels: bigdata
> Fix For: 2.5
>
>
> Basic support of Spark Data Frame for Ignite implemented in IGNITE-3084.
> We need to implement custom spark strategy that can convert whole Spark SQL
> query to Ignite SQL Query if query consists of only Ignite tables.
> The strategy does nothing if spark query includes not only Ignite tables.
> Memsql implementation can be taken as an example -
> https://github.com/memsql/memsql-spark-connector
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
