[jira] [Updated] (SPARK-46830) Introducing collation concept into Spark

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-46830?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-46830:
-----------------------------------
    Labels: pull-request-available  (was: )

> Introducing collation concept into Spark
> ----------------------------------------
>
>                 Key: SPARK-46830
>                 URL: https://issues.apache.org/jira/browse/SPARK-46830
>             Project: Spark
>          Issue Type: Epic
>          Components: Spark Core
>    Affects Versions: 4.0.0
>            Reporter: Aleksandar Tomic
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: Collation Support in Spark.docx
>
>
> This feature will introduce collation support to the Spark engine. This means that:
>  
>  # Every StringType will have an associated collation. Default remains UTF8 Binary, which will behave under the same rules as current UTF8 String comparison.
>  # Collation will be respected in all collation sensitive operations - comparisons, hashing, string operations (contains, startWith, endsWith etc.)
>  # Collation can be set through following ways:
>  ## COLLATE expression. e.g. strExpr COLLATE collation_name
>  ## In CREATE TABLE column definition
>  ## By setting session collation.
>  # All the Spark operators need to respect collation settings (filters, joins, shuffles, aggs etc.)
>  
> This is a high level description of the feature. You can find detailed design under [this|https://docs.google.com/document/d/1A9RQiwq-n3R3vuh571yjOLaaIuIYRTyCx7UFr0Qg-eY/edit?usp=sharing] link (doc is in attachment as well).
>  



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