Use SQL’s CASE WHEN statement to pivot columns
In relational databases, in order to analyze or display data, it is often necessary to reshape data into different formats. One common transformation is pivoting, which combines multiple rows of data into a single row.
Question:
Consider a table named "Bank" with columns "name", "val" and "amount":
name | val | amount |
---|---|---|
John | 1 | 2000 |
Peter | 1 | 1999 |
Peter | 2 | 1854 |
John | 2 | 1888 |
The goal is to pivot the "val" column and create two new columns named "amountVal1" and "amountVal2", representing the "amount" values with "val" values of "1" and "2" respectively. The desired output looks like this:
name | amountVal1 | amountVal2 |
---|---|---|
John | 2000 | 1888 |
Peter | 1999 | 1854 |
Solution:
In order to perform this conversion, CASE WHEN expressions can be used along with aggregate functions. The following SQL query achieves the expected results:
SELECT name, SUM(CASE WHEN val = 1 THEN amount ELSE 0 END) AS amountVal1, SUM(CASE WHEN val = 2 THEN amount ELSE 0 END) AS amountVal2 FROM bank GROUP BY name
In this query:
- CASE WHEN expression retrieves the "amount" value for each "val" and converts any unmatched "val" value to 0.
- The SUM() function aggregates the results for each "name", effectively adding the "amount" values corresponding to the "val" values.
- The GROUP BY clause groups the results by "name", ensuring that values are merged for each unique name in the table.
By using this query, you can successfully pivot the data in the "Bank" table, creating the required columns "amountVal1" and "amountVal2" which contain "val" values of "1" and "2" respectively "amount" value.
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