我有这样的在线课程表(空行是只是为了更好的可见性):获取envelope.ie重叠的时间跨度
ip_address | start_time | stop_time
------------|------------------|------------------
10.10.10.10 | 2016-04-02 08:00 | 2016-04-02 08:12
10.10.10.10 | 2016-04-02 08:11 | 2016-04-02 08:20
10.10.10.10 | 2016-04-02 09:00 | 2016-04-02 09:10
10.10.10.10 | 2016-04-02 09:05 | 2016-04-02 09:08
10.10.10.10 | 2016-04-02 09:05 | 2016-04-02 09:11
10.10.10.10 | 2016-04-02 09:02 | 2016-04-02 09:15
10.10.10.10 | 2016-04-02 09:10 | 2016-04-02 09:12
10.66.44.22 | 2016-04-02 08:05 | 2016-04-02 08:07
10.66.44.22 | 2016-04-02 08:03 | 2016-04-02 08:11
而我需要的“包围”在线时间跨度:
ip_address | full_start_time | full_stop_time
------------|------------------|------------------
10.10.10.10 | 2016-04-02 08:00 | 2016-04-02 08:20
10.10.10.10 | 2016-04-02 09:00 | 2016-04-02 09:15
10.66.44.22 | 2016-04-02 08:03 | 2016-04-02 08:11
我有此查询返回所需的结果:
WITH t AS
-- Determine full time-range of each IP
(SELECT ip_address, MIN(start_time) AS min_start_time, MAX(stop_time) AS max_stop_time FROM IP_SESSIONS GROUP BY ip_address),
t2 AS
-- compose ticks
(SELECT DISTINCT ip_address, min_start_time + (LEVEL-1) * INTERVAL '1' MINUTE AS ts
FROM t
CONNECT BY min_start_time + (LEVEL-1) * INTERVAL '1' MINUTE <= max_stop_time),
t3 AS
-- get all "online" ticks
(SELECT DISTINCT ip_address, ts
FROM t2
JOIN IP_SESSIONS USING (ip_address)
WHERE ts BETWEEN start_time AND stop_time),
t4 AS
(SELECT ip_address, ts,
LAG(ts) OVER (PARTITION BY ip_address ORDER BY ts) AS previous_ts
FROM t3),
t5 AS
(SELECT ip_address, ts,
SUM(DECODE(previous_ts,NULL,1,0 + (CASE WHEN previous_ts + INTERVAL '1' MINUTE <> ts THEN 1 ELSE 0 END)))
OVER (PARTITION BY ip_address ORDER BY ts ROWS UNBOUNDED PRECEDING) session_no
FROM t4)
SELECT ip_address, MIN(ts) AS full_start_time, MAX(ts) AS full_stop_time
FROM t5
GROUP BY ip_address, session_no
ORDER BY 1,2;
不过,我关心的性能。该表有几百万行,时间分辨率是毫秒(而不是例子中给出的一分钟)。因此CTE t3
会很大。有没有人有避免自我加入和“连接”的解决方案?
单个智能Analytic Function会很棒。
不错的解决方案,我也没有看到任何问题。 –
@WernfriedDomscheit - 如果你仍然关心这类问题,我发现Stew Ashton在他的博客上有更好的解决方案。它应该是我的两倍。 https://stewashton.wordpress.com/2015/06/08/merging-overlapping-date-ranges/ – mathguy
伟大的方法。是的,它应该更快,因为它不包含“UNION ALL”。我会测试它。 –