我有這樣的在線課程表(空行是隻是爲了更好的可見性):獲取envelope.ie重疊的時間跨度
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「包圍」在線時間跨度:
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
我有此查詢返回所需的結果:
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;
不過,我關心的性能。該表有幾百萬行,時間分辨率是毫秒(而不是例子中給出的一分鐘)。因此CTE t3
會很大。有沒有人有避免自我加入和「連接」的解決方案?
單個智能Analytic Function會很棒。
不錯的解決方案,我也沒有看到任何問題。 –
@WernfriedDomscheit - 如果你仍然關心這類問題,我發現Stew Ashton在他的博客上有更好的解決方案。它應該是我的兩倍。 https://stewashton.wordpress.com/2015/06/08/merging-overlapping-date-ranges/ – mathguy
偉大的方法。是的,它應該更快,因爲它不包含「UNION ALL」。我會測試它。 –