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Transpose SQL Table: Achieving a Flexible Data Transformation
Transpose operations in SQL involve converting rows into columns and vice versa. In this context, let's tackle the problem of transposing a table with user-defined field names for user-specific data.
Problem:
Given a table with user-defined field names and corresponding values, the goal is to transpose it into a format where each user's data is presented in a single row, with column names representing the field names.
Example:
Input Table:
Id | UserId | FieldName | FieldValue |
---|---|---|---|
1 | 100 | Username | John Doe |
2 | 100 | Password | pass123! |
3 | 102 | Username | Jane |
4 | 102 | Password | $ecret |
5 | 102 | Email Address | [email protected] |
Desired Output:
UserId | Username | Password | Email Address |
---|---|---|---|
100 | John Doe | pass123! | NULL |
102 | Jane | $ecret | [email protected] |
Solution in MySQL (Without ANSI Syntax):
As MySQL does not support ANSI PIVOT/UNPIVOT syntax, we can use a conditional aggregation approach:
SELECT t.userid, MAX(CASE WHEN t.fieldname = 'Username' THEN t.fieldvalue ELSE NULL END) AS Username, MAX(CASE WHEN t.fieldname = 'Password' THEN t.fieldvalue ELSE NULL END) AS Password, MAX(CASE WHEN t.fieldname = 'Email Address' THEN t.fieldvalue ELSE NULL END) AS Email FROM TABLE t GROUP BY t.userid
This approach iterates over each row and uses CASE statements to assign values to the desired output columns based on the fieldname. It then aggregates the results for each userId.
Dynamic Solution using Prepared Statements:
To make the solution more versatile, we can use MySQL's Prepared Statement syntax, which allows us to dynamically specify the fields:
SET @query = "SELECT userid, "; SET @enum_query = ""; SELECT CONCAT(@enum_query, "MAX(CASE WHEN fieldname = '", fieldname, "' THEN fieldvalue ELSE NULL END) AS ", fieldname,", ") INTO @enum_query FROM ( SELECT DISTINCT fieldname FROM TABLE ) AS subquery; SET @enum_query = SUBSTRING(@enum_query, 1, LENGTH(@enum_query) - 2); SET @query = CONCAT(@query, @enum_query, " FROM TABLE GROUP BY userid;"); PREPARE stmt FROM @query; EXECUTE stmt;
This approach creates a dynamic query that includes all the desired field names as columns in the output.
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