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https://issues.apache.org/jira/browse/SPARK-19248?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16844547#comment-16844547
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Nicholas Chammas commented on SPARK-19248:
------------------------------------------
Looks like Spark 2.4.3 still exhibits the behavior reported in the original
issue:
{code:java}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.4.3
/_/
Using Python version 3.7.3 (default, Mar 27 2019 13:25:00)
SparkSession available as 'spark'.
>>> df = spark.createDataFrame([('.. 5. ',)], ['col'])
>>> dfout = df.selectExpr(*["regexp_replace(col, '[ \.]*', '') AS
>>> col"]).collect()
>>> dfout
[Row(col='5')]
>>> dfout2 = df.selectExpr(*["regexp_replace(col, '( |\.)*', '') AS
>>> col"]).collect()
>>> dfout2
[Row(col='')]
>>>
{code}
[~hyukjin.kwon] - I'm going to reopen this issue.
> Regex_replace works in 1.6 but not in 2.0
> -----------------------------------------
>
> Key: SPARK-19248
> URL: https://issues.apache.org/jira/browse/SPARK-19248
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2
> Reporter: Lucas Tittmann
> Priority: Major
> Labels: bulk-closed
>
> We found an error in Spark 2.0.2 execution of Regex. Using PySpark In 1.6.2,
> we get the following, expected behaviour:
> {noformat}
> df = sqlContext.createDataFrame([('.. 5. ',)], ['col'])
> dfout = df.selectExpr(*["regexp_replace(col, '[ \.]*', '') AS col"]).collect()
> z.show(dfout)
> >>> [Row(col=u'5')]
> dfout2 = df.selectExpr(*["regexp_replace(col, '( |\.)*', '') AS
> col"]).collect()
> z.show(dfout2)
> >>> [Row(col=u'5')]
> {noformat}
> In Spark 2.0.2, with the same code, we get the following:
> {noformat}
> df = sqlContext.createDataFrame([('.. 5. ',)], ['col'])
> dfout = df.selectExpr(*["regexp_replace(col, '[ \.]*', '') AS col"]).collect()
> z.show(dfout)
> >>> [Row(col=u'5')]
> dfout2 = df.selectExpr(*["regexp_replace(col, '( |\.)*', '') AS
> col"]).collect()
> z.show(dfout2)
> >>> [Row(col=u'')]
> {noformat}
> As you can see, the second regex shows different behaviour depending on the
> Spark version. We checked the regex in Java, and both should be correct and
> work. Therefore, regex execution in 2.0.2 seems to be erroneous. I do not
> have the possibility to confirm in 2.1 at the moment.
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