How to match regex pattern multiple times in Pyspark? [closed] - regex

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Below consists of email data present in the single column:
Requirement is to print from Call Example to additional details alone.
Input:
Summary:
Below are the details:
Call Example:
dialFromNumber:***** dialToNumber:***** date:*** time:*** additional details:xxxx
Please check out the call details.
Second Call Example:
dialFromNumber:*****
dialToNumber:*****
date:***
time:***
additional details:xxxx
Some random text.
Output:
Both of the call examples needs to be populated in the new column 'Calldetails1' in two different rows using Pyspark.
Call Example:
dialFromNumber:***** dialToNumber:***** date:*** time:*** additional details:xxxx
Call Example:
dialFromNumber:*****
dialToNumber:*****
date:***
time:***
additional details:xxxx
Regex_extract which i used to print from call example to additional details:
result = df.withColumn('result',regex_extract('comments','(?s)(?=Call Example)(.?additional details:\s[\w+])',1))
It's working for one group. Please suggest options to work globally in python

Answer 1

As mentioned in the chat:
(?=Call Example)([\w\s:\*]+?[\S])$
(?=Call Example) will assert whether there is a string that starts with Call Example
[\w\s:*]+? - Will do a lazy check of atleast 1 or more characters until the last occurence of a character till end of line.
Extracting multiple captured groups using pySpark
https://stackoverflow.com/questions/58930893/extracting-several-regex-matches-in-pyspark
https://stackoverflow.com/questions/54597183/i-have-an-issue-with-regex-extract-with-multiple-matches