Unpivoting Comma-Separated Columns in DB2
Data storage with comma-separated columns can pose challenges. This query demonstrates how to transform such data in DB2 using recursive SQL techniques.
Consider the initial table:
Id | FK_ID | Reference ----------------------- 1 2100 GI2, GI32 2 2344 GI56
The desired result is to separate the comma-separated values into multiple rows:
Id | FK_ID | Reference ----------------------- 1 2100 GI2 2 2100 GI32 3 2344 GI56
Using recursive SQL, we can achieve this transformation:
WITH unpivot (lvl, id, fk_ref, reference, tail) AS ( SELECT 1, id, fk_ref, CASE WHEN LOCATE(',',reference) > 0 THEN TRIM(LEFT(reference, LOCATE(',',reference)-1)) ELSE TRIM(reference) END, CASE WHEN LOCATE(',',reference) > 0 THEN SUBSTR(reference, LOCATE(',',reference)+1) ELSE '' END FROM yourtable UNION ALL SELECT lvl + 1, id, fk_ref, CASE WHEN LOCATE(',', tail) > 0 THEN TRIM(LEFT(tail, LOCATE(',', tail)-1)) ELSE TRIM(tail) END, CASE WHEN LOCATE(',', tail) > 0 THEN SUBSTR(tail, LOCATE(',', tail)+1) ELSE '' END FROM unpivot WHERE lvl <p>Note: This solution assumes the number of comma-separated values does not exceed 99. Adjusting the lvl condition can increase the supported values.</p>
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