Snowflake 中的数据类型与函数
Jake Roach
Field Data Engineer
Snowflake 提供从时间戳提取组件的函数
SELECT
<fields>,
DAY(<1>) -- 还有更多!
FROM ...;
<1>:DATE、TIME 或 TIMESTAMP
DAYMONTHYEARHOURMINUTESECONDDAYNAMEMONTHNAMESELECT
exam_completed_time,
YEAR(exam_completed_time) AS y,
MONTHNAME(exam_completed_time) AS mn,
DAYNAME(exam_completed_time) AS dn,
DAY(exam_completed_time) AS d,
HOUR(exam_completed_time) AS h,
MINUTE(exam_completed_time) AS m,
SECOND(exam_completed_time) AS s
FROM STUDENTS.grades;
exam_completed_time | y | mn | dn | d | h | m | s
--------------------- | ------ | ----- | ----- | ---- | ---- | ---- | ----
2025-06-25 11:17:02 | 2025 | Jun | Wed | 25 | 11 | 6 | 2
2025-06-26 08:49:49 | 2025 | Jun | Thu | 26 | 8 | 49 | 49
2025-06-25 09:56:07 | 2025 | Jun | Wed | 25 | 9 | 56 | 7
2025-06-24 22:14:27 | 2025 | Jun | Tue | 24 | 22 | 14 | 27
2025-06-26 13:36:55 | 2025 | Jun | Thu | 26 | 13 | 36 | 55
2025-06-25 16:23:09 | 2025 | Jun | Wed | 25 | 16 | 23 | 9
...
DATEDIFF 用于计算两个日期或时间戳之间的间隔
SELECT <fields>,DATEDIFF(<1>, <2>, <3>) -- 单位、起始时间戳、结束时间戳FROM ...;
<1>:结果的时间单位,如 MINUTE、HOUR、DAY、YEAR、WEEK 等
<2>:起始时间戳
<3>:结束时间戳
First TIMESTAMP: 2025-05-12 08:24:08
Second TIMESTAMP: 2025-11-13 03:05:46
SELECT
DATEDIFF(
DAY,
TO_DATE('2025-05-12 08:24:08'),
TO_DATE('2025-11-13 03:05:46')
)
185 (DAYS)
SELECT
-- 单位、数量、时间戳
DATEADD(
DAY,
185,
TO_DATE('2025-05-12 08:24:08')
)
FROM ...;
2025-05-12 08:24:08 + 185 DAYs
= 2025-11-13 08:24:08
使用 DATEADD 向 DATE、TIME 或 TIMESTAMP 添加时间间隔
$$
<1>:要添加的时间单位,如 MINUTE、HOUR、DAY、YEAR、WEEK 等
<2>:要添加的"单位"数量
<3>:要添加到的时间戳
SELECT
s_id,
exam_completed_time AS completed_time,
exam_due_time AS due_time,
-- 计算完成与截止之间的时间差
DATEDIFF(HOUR, exam_completed_time, exam_due_time) AS hours_early,
-- 确定教师批改的截止日期
DATEADD(WEEK, 1, exam_completed_time) AS grading_due
FROM STUDENTS.grades;
s_id | completed_time | due_time | hours_early | grading_due
------ | --------------------- | --------------------- | ------------- | ---------------------
919 | 2025-06-25 11:17:02 | 2025-06-26 10:00:00 | 22 | 2025-07-02 11:17:02
871 | 2025-06-26 08:49:49 | 2025-06-26 10:00:00 | 1 | 2025-07-03 08:49:49
111 | 2025-06-25 09:56:07 | 2025-06-26 10:00:00 | 24 | 2025-07-02 09:56:07
465 | 2025-06-24 22:14:27 | 2025-06-26 10:00:00 | 35 | 2025-07-01 22:14:27
248 | 2025-06-26 13:36:55 | 2025-06-26 10:00:00 | -3 | 2025-07-23 13:36:55
767 | 2025-06-25 16:23:09 | 2025-06-26 10:00:00 | 17 | 2025-07-02 16:23:09
...
Snowflake 中的数据类型与函数