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Posted to issues@ignite.apache.org by "Aleksey Zinoviev (Jira)" <ji...@apache.org> on 2019/09/23 14:56:00 UTC

[jira] [Updated] (IGNITE-8296) Move Spark Scala DataFrames code examples to correct directory and prefix with "Scalar" to follow convention used with other Scala examples

     [ https://issues.apache.org/jira/browse/IGNITE-8296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aleksey Zinoviev updated IGNITE-8296:
-------------------------------------
    Description: 
# The Spark Scala DataFrames code examples are in the wrong directory. They should be moved to the correct directory structure.
 # The Spark Scala DataFrames code examples should follow the naming convention used for other Scala code examples and be prefixed with "Scalar".

or move SparkScalar example and its logic to the appropriate folder in spark folder

  was:
# The Spark Scala DataFrames code examples are in the wrong directory. They should be moved to the correct directory structure.
 # The Spark Scala DataFrames code examples should follow the naming convention used for other Scala code examples and be prefixed with "Scalar".


> Move Spark Scala DataFrames code examples to correct directory and prefix with "Scalar" to follow convention used with other Scala examples 
> --------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: IGNITE-8296
>                 URL: https://issues.apache.org/jira/browse/IGNITE-8296
>             Project: Ignite
>          Issue Type: Improvement
>          Components: spark
>    Affects Versions: 2.4
>            Reporter: Akmal Chaudhri
>            Assignee: Aleksey Zinoviev
>            Priority: Minor
>
> # The Spark Scala DataFrames code examples are in the wrong directory. They should be moved to the correct directory structure.
>  # The Spark Scala DataFrames code examples should follow the naming convention used for other Scala code examples and be prefixed with "Scalar".
> or move SparkScalar example and its logic to the appropriate folder in spark folder



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