我有一个表,其中有2列日期(时间戳),状态(布尔值)。 我有很多价值,例如:
| date | status |
|-------------------------- |-------- |
| 2018-11-05T19:04:21.125Z | true |
| 2018-11-05T19:04:22.125Z | true |
| 2018-11-05T19:04:23.125Z | true |
....
我需要得到这样的结果:
| date_from | date_to | status |
|-------------------------- |-------------------------- |-------- |
| 2018-11-05T19:04:21.125Z | 2018-11-05T19:04:27.125Z | true |
| 2018-11-05T19:04:27.125Z | 2018-11-05T19:04:47.125Z | false |
| 2018-11-05T19:04:47.125Z | 2018-11-05T19:04:57.125Z | true |
因此,我需要过滤所有“相同”的值,并只返回状态为真/假的时段。
我创建这样的查询:
SELECT max("current_date"), current_status, previous_status
FROM (SELECT date as "current_date",
status as current_status,
(lag(status, 1) OVER (ORDER BY msgtime))::boolean AS previous_status
FROM "table" as table
) as raw_data
group by current_status, previous_status
但是作为回应,我得到的值不超过4
答案 0 :(得分:3)
这是一个孤岛问题。一种典型的方法是使用行号的不同之处:
select min(date), max(date), status
from (select t.*,
row_number() over (order by date) as seqnum,
row_number() over (partition by status order by date) as seqnum_s
from t
) t
group by status, (seqnum - seqnum_s);
答案 1 :(得分:1)
是的,您可以使用LAG
,但是您还需要一个运行计数器,该计数器每次状态改变时都会递增:
WITH cte1 AS (
SELECT date, status, CASE WHEN LAG(status) OVER (ORDER BY date) = status THEN 0 ELSE 1 END AS chg
FROM yourdata
), cte2 AS (
SELECT date, status, SUM(chg) OVER (ORDER BY date) AS grp
FROM cte1
)
SELECT MIN(date) AS date_from, MAX(date) AS date_to, status
FROM cte2
GROUP BY grp, status
ORDER BY date_from