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Denis Magda commented on IGNITE-7655: ------------------------------------- [~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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)