• 

  Mike Davis

  • 18 de abril de 2025 20:54

  Hi Angel!

  I asked some experts on my end and we have some possible solutions for you here.

  To convert the "(Blank)" values in Wdata to null, you can consider the following recommendations based on SQL functions commonly used in Wdata:

  1. CASE Statement: You can use a CASE statement to evaluate conditions and set the values to NULL if they meet specific criteria:

  sql
     CASE 
         WHEN expression IS NULL THEN NULL
         WHEN expression = '(Blank)' THEN NULL
         ELSE expression 
     END
     

  Ensure that the conditions in your CASE statement correctly identify the "(Blank)" values.

  2. COALESCE Function: Utilize the COALESCE function to return the first non-null value. If "(Blank)" is considered the last option, you can set the earlier options to potentially existing real values while defaulting to null if necessary:
   

  sql
     SELECT COALESCE(expression, NULL) 
     FROM your_table 
     WHERE expression = '(Blank)'
     

   
  3. CAST and TRY_CAST: If you're dealing with numerical fields, consider using CAST or TRY_CAST. TRY_CAST is helpful to return NULL when a conversion fails:

  sql
     TRY_CAST(expression AS type)
     

  4. IS NULL and IS NOT NULL Operators: Use these operators to handle conditions where values should be treated as null or non-null:
   

  sql
     SELECT * 
     FROM your_table 
     WHERE expression IS NULL
     

  Applying these strategies can help address the conversion of "(Blank)" values to NULL. Make sure your SQL conditions and expressions align with the exact structure and data within your Wdata setup.

  Here's an article on our SQL expressions: https://support.workiva.com/hc/en-us/articles/360042533552-SQL-conditional-expressions.

  Let me know if I've missed the mark or you have any follow-ups for me. Cheers!

  0

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