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https://issues.apache.org/jira/browse/SPARK-24884?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-24884.
---------------------------------
Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 27507
[https://github.com/apache/spark/pull/27507]
> Implement regexp_extract_all
> ----------------------------
>
> Key: SPARK-24884
> URL: https://issues.apache.org/jira/browse/SPARK-24884
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Nick Nicolini
> Assignee: jiaan.geng
> Priority: Major
> Fix For: 3.1.0
>
>
> I've recently hit many cases of regexp parsing where we need to match on
> something that is always arbitrary in length; for example, a text block that
> looks something like:
> {code:java}
> AAA:WORDS|
> BBB:TEXT|
> MSG:ASDF|
> MSG:QWER|
> ...
> MSG:ZXCV|{code}
> Where I need to pull out all values between "MSG:" and "|", which can occur
> in each instance between 1 and n times. I cannot reliably use the existing
> {{regexp_extract}} method since the number of occurrences is always
> arbitrary, and while I can write a UDF to handle this it'd be great if this
> was supported natively in Spark.
> Perhaps we can implement something like {{regexp_extract_all}} as
> [Presto|https://prestodb.io/docs/current/functions/regexp.html] and
> [Pig|https://pig.apache.org/docs/latest/api/org/apache/pig/builtin/REGEX_EXTRACT_ALL.html]
> have?
>
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