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To achieve the desired output, you can use a combination of regular expressions and conditional logic to evaluate each field. In Azure Synapse Analytics or Azure Data Factory, you can use a Data Flow with a derived column transformation to apply this logic.
Here's how you can implement this using a derived column transformation with a regex match:
Create a Derived Column Transformation - Add a derived column transformation to your data flow.
Define the Condition - Use an expression to evaluate whether the field contains only pipe characters or if it includes alphanumeric characters.
You can use the iif
function combined with regexMatch
to create the desired condition. The regular expression will check if the field contains only pipe characters.
iif(isNull(field1) || regexMatch(field1, '^\|+$'), 'Y', 'N')
Explanation:
-
isNull(field1)
: Checks if the field is NULL. -
regexMatch(field1, '^\|+$')
: This regular expression matches strings that consist entirely of pipe characters. The^
and$
denote the start and end of the string, respectively, and\|+
matches one or more pipe characters. - The
iif
function returns 'Y' if the field is either NULL or matches the regex for only pipe characters, and 'N' otherwise.
Apply the Derived Column - Use this expression in the derived column transformation to generate a new field (flag_field
) with the desired output.
By following these steps, you should be able to mark fields with only pipes as 'Y' and all other conditions (alphanumeric with pipes, only alphanumeric, or NULL) as 'N'. For more details refer: https://learn.microsoft.com/en-us/azure/data-factory/data-flow-expression-functions
https://learn.microsoft.com/en-gb/azure/data-factory/control-flow-expression-language-functions
Hope this helps. Do let us know if you have any further queries.
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