Phân tích chuỗi thời gian trong SQL Server
Maham Faisal Khan
Senior Data Science Content Developer
SELECT
t.Month,
t.Day,
SUM(t.Events) AS Events
FROM Table
GROUP BY
t.Month,
t.Day
WITH ROLLUP
ORDER BY
t.Month,
t.Day;
| Month | Day | Events |
|---|---|---|
| NULL | NULL | 100 |
| 1 | NULL | 60 |
| 1 | 1 | 3 |
| 1 | 2 | 4 |
| ... | ... | ... |
| 2 | NULL | 40 |
| 2 | 1 | 8 |
SELECT
t.IncidentType,
t.Office,
SUM(t.Events) AS Events
FROM Table
GROUP BY
t.IncidentType,
t.Office
WITH CUBE
ORDER BY
t.IncidentType,
t.Office;
| IncidentType | Office | Events |
|---|---|---|
| NULL | NULL | 250 |
| NULL | NY | 70 |
| NULL | CT | 180 |
| T1 | NULL | 55 |
| T1 | NY | 30 |
| T1 | CT | 25 |
SELECT
t.IncidentType,
t.Office,
SUM(t.Events) AS Events
FROM Table
GROUP BY GROUPING SETS
(
(t.IncidentType, t.Office),
()
)
ORDER BY
t.IncidentType,
t.Office;
| IncidentType | Office | Events |
|---|---|---|
| NULL | NULL | 250 |
| T1 | NY | 30 |
| T1 | CT | 25 |
| T2 | NY | 10 |
| T2 | CT | 110 |
| T3 | NY | 30 |
| T3 | CT | 45 |
Phân tích chuỗi thời gian trong SQL Server