Nick Nicolini created SPARK-24884:
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Summary: Implement regexp_extract_all
Key: SPARK-24884
URL: https://issues.apache.org/jira/browse/SPARK-24884
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 2.3.1
Reporter: Nick Nicolini
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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