选择单列时差小于 2 小时的行

Tus*_*sar 4 sql oracle

表:测试

表:测试

选择同一天时差小于 2 小时的行(按日期分组)。

这里输出应该是前两行,因为前两行的时间差(18-JAN-15 01.08.40.000000000 PM - 18-JAN-15 11.21.28.000000000 AM < 2 小时)

NB: compare rows of same date.
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输出:

输出

  CREATE TABLE TEST
  ( "ID" VARCHAR2(20 BYTE), 
    "CAM_TIME" TIMESTAMP (6)
  ) 

Insert into TEST (ID,CAM_TIME) values ('1',to_timestamp('18-JAN-15 11.21.28.000000000 AM','DD-MON-RR HH.MI.SSXFF AM'));
Insert into TEST (ID,CAM_TIME) values ('2',to_timestamp('18-JAN-15 01.08.40.000000000 PM','DD-MON-RR HH.MI.SSXFF AM'));

Insert into TEST (ID,CAM_TIME) values ('3',to_timestamp('23-JAN-15 09.18.40.000000000 AM','DD-MON-RR HH.MI.SSXFF AM'));
Insert into TEST (ID,CAM_TIME) values ('4',to_timestamp('23-JAN-15 04.22.22.000000000 PM','DD-MON-RR HH.MI.SSXFF AM'));
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Pon*_*ons 5

这个自连接查询完成以下工作:

SQL小提琴

select distinct t1.id, t1.cam_time 
  from test t1 join test t2 on t1.rowid <> t2.rowid  
    and trunc(t1.cam_time) = trunc(t2.cam_time)
  where abs(t1.cam_time-t2.cam_time) <= 2/24
  order by t1.id
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编辑:

如果 cam_time 是 time_stamp 类型,那么条件应该是:

where t1.cam_time between t2.cam_time - interval '2' Hour 
                      and t2.cam_time + interval '2' Hour
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  • 我建议使用@David Faber 的解决方案。我测试了 10k 行表上的两个查询的速度,他的解决方案花费了大约 0.02 秒,我的解决方案花费了大约 40 秒。这就是分析函数的用途。 (3认同)

Dav*_*ber 5

我采取了稍微不同的策略并使用了LAG()LEAD()分析函数:

WITH mydata AS (
  SELECT 1 AS id, timestamp '2015-01-15 11:21:28.000' AS cam_time
    FROM dual
   UNION ALL
  SELECT 2 AS id, timestamp '2015-01-15 13:08:40.000' AS cam_time
    FROM dual
   UNION ALL
  SELECT 3 AS id, timestamp '2015-01-23 09:18:40.000' AS cam_time
    FROM dual
   UNION ALL
  SELECT 4 AS id, timestamp '2015-01-23 16:22:22.000' AS cam_time
    FROM dual
)
SELECT id, cam_time FROM (
    SELECT id, cam_time
         , LAG(cam_time) OVER ( PARTITION BY TRUNC(cam_time) ORDER BY cam_time ) AS lag_time
         , LEAD(cam_time) OVER ( PARTITION BY TRUNC(cam_time) ORDER BY cam_time ) AS lead_time
      FROM mydata
) WHERE CAST(lead_time AS DATE) - CAST(cam_time AS DATE) < 1/12
     OR CAST(cam_time AS DATE) - CAST(lag_time AS DATE) < 1/12
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