使用 SQL 脚本填充时间维度 - Teradata

Populating Time Dimension with SQL script - Teradata

各位,

我正在尝试使用 SQL 脚本填充时间维度 table。

预期输出如下所示。

& 以下是未给出正确输出的部分 SQL 脚本。

SEL   calendar_date AS DATE_,
      RANK( ) OVER ( ORDER BY calendar_date) AS Date_Key,
      RANK( ) OVER ( ORDER BY EXTRACT(MONTH FROM CALENDAR_DATE)) AS Month_Key
FROM  SYS_CALENDAR.CALENDAR 
ORDER BY calendar_Date

你能帮我找出代码中的问题吗?

由于代码停留在 Month_Key 人口,我还没有完成剩余的代码...

RANK() OVER (ORDER BY EXTRACT(MONTH FROM CALENDAR_DATE)) AS Month_Key 更改为使用 DENSE_RANK,因为看起来一年中一个月的所有行都应该具有相同的键。

SEL   calendar_date AS DATE_,
  RANK() OVER (ORDER BY calendar_date) AS Date_Key,
  DENSE_RANK() OVER (ORDER BY EXTRACT(YEAR FROM CALENDAR_DATE),EXTRACT(MONTH FROM CALENDAR_DATE)) AS Month_Key
FROM  SYS_CALENDAR.CALENDAR 
ORDER BY calendar_Date

当你有 sys_calendar.calendar

时,我看不出这样做有什么意义
select      calendar_date

           ,day_of_calendar     - 32872     as day_key
           ,month_of_calendar   -  1080     as month_key
           ,quarter_of_calendar -   360     as quarter_key
           ,year_of_calendar    -  1989     as year_key

from        sys_calendar.calendar 

-- where       calendar_date between date '2015-09-25' and date '2015-10-05'

-- order by    calendar_date

+---------------+---------+-----------+-------------+----------+
| calendar_date | day_key | month_key | quarter_key | year_key |
+---------------+---------+-----------+-------------+----------+
| 2015-09-25    | 9,399   |       309 |         103 |       26 |
| 2015-09-26    | 9,400   |       309 |         103 |       26 |
| 2015-09-27    | 9,401   |       309 |         103 |       26 |
| 2015-09-28    | 9,402   |       309 |         103 |       26 |
| 2015-09-29    | 9,403   |       309 |         103 |       26 |
| 2015-09-30    | 9,404   |       309 |         103 |       26 |
| 2015-10-01    | 9,405   |       310 |         104 |       26 |
| 2015-10-02    | 9,406   |       310 |         104 |       26 |
| 2015-10-03    | 9,407   |       310 |         104 |       26 |
| 2015-10-04    | 9,408   |       310 |         104 |       26 |
| 2015-10-05    | 9,409   |       310 |         104 |       26 |
+---------------+---------+-----------+-------------+----------+