spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-24884) Implement regexp_extract_all
Date Fri, 03 Aug 2018 13:40:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24884?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-24884:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>            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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message