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https://issues.apache.org/jira/browse/SPARK-47412?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17834803#comment-17834803
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Uroš Bojanić commented on SPARK-47412:
--------------------------------------

[~gpgp] Thank you for your hard work on 
[SPARK-47413|https://issues.apache.org/jira/browse/SPARK-47413]! We'll put your 
[PR|https://github.com/apache/spark/pull/45738/] under final review, so feel 
free to move on to this ticket. This one should be relatively simple as well, 
and you've also got some experience under your belt already. Nevertheless, feel 
free to let me know if you have any questions!

> StringLPad, StringRPad (all collations)
> ---------------------------------------
>
>                 Key: SPARK-47412
>                 URL: https://issues.apache.org/jira/browse/SPARK-47412
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: Uroš Bojanić
>            Priority: Major
>
> Enable collation support for the *StringLPad* & *StringRPad* built-in string 
> functions in Spark. First confirm what is the expected behaviour for these 
> functions when given collated strings, then move on to the implementation 
> that would enable handling strings of all collation types. Implement the 
> corresponding unit tests (CollationStringExpressionsSuite) and E2E tests 
> (CollationSuite) to reflect how this function should be used with collation 
> in SparkSQL, and feel free to use your chosen Spark SQL Editor to experiment 
> with the existing functions to learn more about how they work. In addition, 
> look into the possible use-cases and implementation of similar functions 
> within other other open-source DBMS, such as 
> [PostgreSQL|https://www.postgresql.org/docs/].
>  
> The goal for this Jira ticket is to implement the *StringLPad* & *StringRPad* 
> functions so that they support all collation types currently supported in 
> Spark. To understand what changes were introduced in order to enable full 
> collation support for other existing functions in Spark, take a look at the 
> Spark PRs and Jira tickets for completed tasks in this parent (for example: 
> Contains, StartsWith, EndsWith).
>  
> Read more about ICU [Collation Concepts|http://example.com/] and 
> [Collator|http://example.com/] class. Also, refer to the Unicode Technical 
> Standard for 
> [collation|https://www.unicode.org/reports/tr35/tr35-collation.html#Collation_Type_Fallback].



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