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https://issues.apache.org/jira/browse/SPARK-47415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-47415:
-----------------------------------
Assignee: Uroš Bojanić
> 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
> Assignee: 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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