Data Manipulation in Snowflake
Jake Roach
Field Data Engineer
$$
Sometimes, there might be additional values that don't fall into a
WHEN ... THENstatement.
$$
ELSE to capture these additional scenariosSELECT
student,
CASE
WHEN grade_num = 12 THEN 'Senior'
WHEN grade_num = 11 THEN 'Junior'
...
ELSE 'Not in HS' -- Catch others!
END AS grade
FROM students;
| student | grade |
| ---------- | ---------- |
| Viraj | Junior |
| Stephanie | Senior |
| Lewis | Not in HS |
| Operator | Condition | Example |
|---|---|---|
= |
Value is equal to another value | column_a = 'value_a' |
IN (...) |
Value is in a list of values | column_a IN ('value_a', 'value_b') |
>, < |
Value is greater than or less than another value | column_a > 0 |
>=, <= |
Counterparts to > and <, also includes equality |
column_a >= 0 |
BETWEEN |
Value is between two values, inclusive | column_a BETWEEN 0 AND 10 |
These comparison operators can be combined with AND, OR, or NOT
CASE statements in Snowflake are efficient due to being a column-oriented database
SELECT todays_date, temperature, CASEWHEN temperature BETWEEN 70 AND 90 THEN 'Ideal for Swimming'WHEN temperature >= 50 AND tempreature < 70 THEN 'Perfect for Sports'WHEN temperature > 32 AND temperature < 50 THEN 'Spring/Fall Temps' WHEN temperature > 0 AND temperature <= 32 THEN 'Winter Weather' ELSE 'Extreme Temperatures'END AS temperature_description FROM weather;

SELECT todays_date, temperature, status,CASE WHEN temperature > 70 AND status NOT IN ('Rain', 'Wind') THEN 'Beach'WHEN temperature BETWEEN 45 AND 70 AND status = 'Sun' THEN 'Sports'WHEN temperature <= 32 OR status = 'Snow' THEN 'Skiing'ELSE 'Stay In' END AS activity FROM weather;
We can evaluate multiple columns in a single
CASEstatement

Data Manipulation in Snowflake