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https://issues.apache.org/jira/browse/SPARK-46830?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17810713#comment-17810713
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Jungtaek Lim commented on SPARK-46830:
--------------------------------------

drive-by comment: you'd like to check the ACL of design doc you linked. At 
least it doesn't allow me.

> 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
>
> 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/1G3Xap-0Aj-QC6qoWZDDqO84IulHnogjD1REE3yh1_jk/edit?usp=sharing]
>  link.
>  



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