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https://issues.apache.org/jira/browse/IGNITE-7655?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16375007#comment-16375007
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Denis Magda commented on IGNITE-7655:
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[~NIzhikov] , please clarify the following questions.
# You're saying "the data frame will be appended to the existing table.
Existing table data will not be changed.". What does appending mean here? As
far as I understand, you're just going to *insert* new data ignoring the data
which keys are already in the table.
# which mode is a default?
# Is there a mode that updates existing rows, inserts new from the data frame
and does NOT delete the rows that were in the table initially?
# How do I set a mode? You start talking about the data frames right away but
do not explain how to use them.
# You say "Note, internally all inserts are done through IgniteDataStreamer.
Several optional parameters exists to configure internal streamer. Please, see
full list of available options.". I would start "Saving Data Frame" section
with the explanation of how all this works. From what I see, we're going to use
CREATE TABLE to create a table and then store data in Ignite with the streamer,
right? Please elaborate more on this in the doc.
[~abchaudhri], could you please finalize the review after [~NIzhikov] addresses
the notes above? Please feel free to work together to make this doc exceptional
and easy to follow!
> Spark Data Frames: saving data frames into Ignite needs to be documented
> ------------------------------------------------------------------------
>
> Key: IGNITE-7655
> URL: https://issues.apache.org/jira/browse/IGNITE-7655
> Project: Ignite
> Issue Type: Bug
> Components: documentation, spark
> Reporter: Nikolay Izhikov
> Assignee: Denis Magda
> Priority: Major
> Fix For: 2.4
>
>
> Once IGNITE-7337 is ready for merge.
> This new feature of Ignite needs to be documented.
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