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Apache Spark commented on SPARK-24884: -------------------------------------- User 'xueyumusic' has created a pull request for this issue: https://github.com/apache/spark/pull/21985 > 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 > Priority: Major > > 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? > -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org