Calculated field
TAN([score])
Sample data
| id | amount | units | score | other |
|---|---|---|---|---|
| 1 | -2.5 | 2 | -0.8 | 3 |
| 2 | 0 | 0 | 0 | 4 |
| 3 | 1.5 | 3 | 0.25 | 2 |
| 4 | 4 | 4 | 0.5 | 8 |
| 5 | 9 | 5 | 0.8 | 11 |
| 6 | 16 | 6 | 1 | 14 |
| 7 | null | 7 | null | 9 |
| 8 | 4 | 8 | -0.5 | null |
The same calculation as SQL
SELECT tan(score) AS result FROM input ORDER BY id
Runs the example above.
SELECT tan(score) AS result FROM input ORDER BY id
Written for this dialect; not run here.
SELECT tan(score) AS result FROM input ORDER BY id
Written for this dialect; not run here.
Result
| id | amount | units | score | result |
|---|---|---|---|---|
| 1 | -2.5 | 2 | -0.8 | -1.02964 |
| 2 | 0 | 0 | 0 | 0 |
| 3 | 1.5 | 3 | 0.25 | 0.255342 |
| 4 | 4 | 4 | 0.5 | 0.546302 |
| 5 | 9 | 5 | 0.8 | 1.02964 |
| 6 | 16 | 6 | 1 | 1.55741 |
| 7 | null | 7 | null | null |
| 8 | 4 | 8 | -0.5 | -0.546302 |
Same rows from the calculation and from the SQL in DuckDB.
Where a naive translation goes wrong
- Replacing null results with zero changes missing-value semantics.
Naive SQL
SELECT coalesce((tan(score)),0) AS result FROM input ORDER BY id
id amount units score result 1 -2.5 2 -0.8 -1.02964 2 0 0 0 0 3 1.5 3 0.25 0.255342 4 4 4 0.5 0.546302 5 9 5 0.8 1.02964 6 16 6 1 1.55741 7 null 7 null 0 8 4 8 -0.5 -0.546302 Matches the calculation
SELECT tan(score) AS result FROM input ORDER BY id
id amount units score result 1 -2.5 2 -0.8 -1.02964 2 0 0 0 0 3 1.5 3 0.25 0.255342 4 4 4 0.5 0.546302 5 9 5 0.8 1.02964 6 16 6 1 1.55741 7 null 7 null null 8 4 8 -0.5 -0.546302
Signature
TAN(number)