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https://issues.apache.org/jira/browse/SPARK-47415?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17844937#comment-17844937
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Uroš Bojanić commented on SPARK-47415:
--------------------------------------

Update: [~nikolamand-db] has implemented this function in 
[https://github.com/apache/spark/pull/45963], so most of the implementation 
logic and tests should be there. However, we have recently done some 
refactoring in: https://issues.apache.org/jira/browse/SPARK-47410. Now we need 
to refactor Nikola's changes by following the guidelines outlined in that Jira 
ticket.

Nikola suggested this could be a good onboarding task for Nebojsa, so he could 
get familiar with part of the codebase.

> Levenshtein (all collations)
> ----------------------------
>
>                 Key: SPARK-47415
>                 URL: https://issues.apache.org/jira/browse/SPARK-47415
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: Uroš Bojanić
>            Priority: Major
>              Labels: pull-request-available
>
> Enable collation support for the *Levenshtein* built-in string function in 
> Spark. First confirm what is the expected behaviour for this function when 
> given collated strings, and then move on to implementation and testing. 
> Implement the corresponding unit tests and E2E sql tests 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 *Levenshtein* function so 
> it supports 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 string 
> [searching|https://www.unicode.org/reports/tr10/#Searching] and 
> [collation|https://www.unicode.org/reports/tr35/tr35-collation.html#Collation_Type_Fallback].



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