Snowflake 中的数据操作
Jake Roach
Field Data Engineer
$$
有时会有额外的取值不符合任一
WHEN ... THEN分支。
$$
ELSE 覆盖这些情形SELECT
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 |
| 运算符 | 条件 | 示例 |
|---|---|---|
= |
值等于另一值 | column_a = 'value_a' |
IN (...) |
值在列表中 | column_a IN ('value_a', 'value_b') |
>, < |
值大于或小于另一值 | column_a > 0 |
>=, <= |
> 和 < 的对应,包含等号 |
column_a >= 0 |
BETWEEN |
值在两者之间(含边界) | column_a BETWEEN 0 AND 10 |
这些比较运算符可与 AND、OR、NOT 组合使用
在 Snowflake 中,CASE 高效,因为其为列式数据库
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;
我们可以在一个
CASE语句中评估多个列

Snowflake 中的数据操作