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https://issues.apache.org/jira/browse/IGNITE-7337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16355213#comment-16355213
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Nikolay Izhikov commented on IGNITE-7337:
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[~vkulichenko]
> you're doing single inserts one by one when saving the data, this will not
> perform well.
I agreed.
Is there any way to do some kind of batch data loads?
For example, JdbcPreparedStatement doesn't support batches,
https://github.com/apache/ignite/blob/master/modules/core/src/main/java/org/apache/ignite/internal/jdbc/JdbcPreparedStatement.java#L196
> Is there a way to use IgniteDataStreamer instead?
I look into Streamer API and can't see how it can be used for batch loading.
Can you give me some ideas or examples how to use it for a performance boosting
of SQL inserts?
> Spark Data Frames: support saving a data frame in Ignite
> --------------------------------------------------------
>
> Key: IGNITE-7337
> URL: https://issues.apache.org/jira/browse/IGNITE-7337
> Project: Ignite
> Issue Type: New Feature
> Components: spark
> Affects Versions: 2.3
> Reporter: Valentin Kulichenko
> Assignee: Nikolay Izhikov
> Priority: Major
> Fix For: 2.5
>
>
> Once Ignite data source for Spark is implemented, we need to add an ability
> to store a data frame in Ignite. Most likely if should be enough to provide
> implementation for the following traits:
> * {{InsertableRelation}}
> * {{CreatableRelationProvider}}
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