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SQL Server 지연을 사용하여 행을 병합 하시겠습니까?

2017-11-08 2 views
1

내가SQL Server 지연을 사용하여 행을 병합 하시겠습니까?

한 경우 내가 10:40에 예를

에 대한 10시 10분 내부

제안보고를 병합해야, 외부 의미 널 (null), 내부 의미 인 타임, OUTTIME이, 테이블, zonechk 플래그가 14시 40분

,691,363 14:00 14시 10분 내부

12:30 12시 31분 외부

에 11시 10분 내부

15시 반

15시 10분에 내부 (210)는

14시 10분 15 내부 14시

12:30 12시 31분 외부

에 10시 10분 내부

이어야 :

+--------+--------------+----------------+--------------+----------+-------------------------+--------+---------+ 
| Number | plate_number | move_from_date | move_to_date | Duration |   inTime   | zoneid | zonechk | 
+--------+--------------+----------------+--------------+----------+-------------------------+--------+---------+ 
| 5934 | NULL   |  1507713204 | 1508147403 | 434199 | 2017-10-11 09:13:24.100 |  54 | 1  | 
| 5934 | NULL   |  1507793515 | 1507793924 |  409 | 2017-10-12 07:31:55.310 | 709 | NULL | 
| 5934 | NULL   |  1508051465 | 1508051861 |  396 | 2017-10-15 07:11:05.010 | 709 | 1  | 
| 5934 | NULL   |  1508139025 | 1508139551 |  526 | 2017-10-16 07:30:25.570 | 709 | 1  | 
| 5934 | NULL   |  1508147732 | 1508148337 |  605 | 2017-10-16 09:55:32.650 | 698 | NULL | 
| 5934 | NULL   |  1508148802 | 1508235374 | 86572 | 2017-10-16 10:13:22.060 |  54 | 1  | 
| 5934 | NULL   |  1508227127 | 1508227707 |  580 | 2017-10-17 07:58:47.040 | 709 | NULL | 
| 5934 | NULL   |  1508235727 | 1508236062 |  335 | 2017-10-17 10:22:07.150 | 698 | 1  | 
| 5934 | NULL   |  1508236426 | 1508320755 | 84329 | 2017-10-17 10:33:46.040 |  54 | 1  | 
| 5934 | NULL   |  1508312035 | 1508312473 |  438 | 2017-10-18 07:33:55.780 | 709 | 1  | 
| 5934 | NULL   |89 | 1508321767 |  678 | 2017-10-18 10:04:49.110 | 698 | 1  | 
| 5934 | NULL   |  1508322313 | 1508405959 | 83646 | 2017-10-18 10:25:13.990 |  54 | 1  | 
| 5934 | NULL   |  1508398316 | 1508398778 |  462 | 2017-10-19 07:31:56.680 | 709 | 1  | 
| 5934 | NULL   |  1508406309 | 1508406811 |  502 | 2017-10-19 09:45:09.260 | 698 | NULL | 
| 5934 | NULL   |  1508407153 | 1508575805 | 168652 | 2017-10-19 09:59:13.857 |  54 | 1  | 
| 5934 | NULL   |  1508565909 | 1508566376 |  467 | 2017-10-21 06:05:09.240 | 709 | NULL | 
| 5934 | NULL   |  1508576176 | 1508576601 |  425 | 2017-10-21 08:56:16.473 | 698 | 1  | 
| 5934 | NULL   |  1508577010 | 1508834353 | 257343 | 2017-10-21 09:10:10.710 |  54 | 1  | 
| 5934 | NULL   |  1508584759 | 1508585455 |  696 | 2017-10-21 11:19:19.930 | 709 | NULL | 
| 5934 | NULL   |  1508659492 | 1508660021 |  529 | 2017-10-22 08:04:52.490 | 709 | 1  | 
| 5934 | NULL   |  1508741980 | 1508742462 |  482 | 2017-10-23 06:59:40.960 | 709 | 1  | 
| 5934 | NULL   |  1508749508 | 1508750050 |  542 | 2017-10-23 09:05:08.893 | 709 | NULL | 
| 5934 | NULL   |  1508834742 | 1508835409 |  667 | 2017-10-24 08:45:42.960 | 698 | 1  | 
| 5934 | NULL   |  1508917280 | 1508917694 |  414 | 2017-10-25 07:41:20.940 | 709 | 1  | 
| 5934 | NULL   |  1508966861 | 1509000828 | 33967 | 2017-10-25 21:27:41.490 |  54 | 1  | 
| 5934 | NULL   |  1509000911 | 1509002958 |  2047 | 2017-10-26 06:55:11.330 |  54 | 1  | 
| 5934 | NULL   |  1509001844 | 1509002376 |  532 | 2017-10-26 07:10:44.090 | 709 | NULL | 
| 5934 | NULL   |  1509003211 | 1509007113 |  3902 | 2017-10-26 07:33:31.023 |  54 | 1  | 
| 5934 | NULL   |  1509006789 | 1509006863 |  74 | 2017-10-26 08:33:09.350 |  54 | 1  | 
| 5934 | NULL   |  1509006866 | 1509007049 |  183 | 2017-10-26 08:34:26.130 |  54 | 1  | 
| 5934 | NULL   |  1509007257 | 1509009354 |  2097 | 2017-10-26 08:40:57.170 |  54 | 1  | 
| 5934 | NULL   |  1509008978 | 1509009089 |  111 | 2017-10-26 09:09:38.660 |  54 | 1  | 
| 5934 | NULL   |  1509009092 | 1509009231 |  139 | 2017-10-26 09:11:32.420 |  54 | 1  | 
| 5934 | NULL   |  1509009458 | 1509009946 |  488 | 2017-10-26 09:17:38.590 |  54 | 1  | 
| 5934 | NULL   |  1509009529 | 1509009608 |  79 | 2017-10-26 09:18:49.600 |  54 | 1  | 
| 5934 | NULL   |  1509009610 | 1509009757 |  147 | 2017-10-26 09:20:10.990 |  54 | 1  | 
| 5934 | NULL   |  1509009759 | 1509009909 |  150 | 2017-10-26 09:22:39.610 |  54 | 1  | 
| 5934 | NULL   |  1509010472 | 1509010787 |  315 | 2017-10-26 09:34:32.270 | 698 | 1  | 
| 5934 | NULL   |  1509011192 | 1509011367 |  175 | 2017-10-26 09:46:32.530 |  54 | 1  | 
| 5934 | NULL   |  1509011370 | 1509011424 |  54 | 2017-10-26 09:49:30.100 |  54 | 1  | 
| 5934 | NULL   |  1509011644 | 1509016547 |  4903 | 2017-10-26 09:54:04.390 |  54 | 1  | 
| 5934 | NULL   |  1509016793 | 1509018783 |  1990 | 2017-10-26 11:19:53.370 |  54 | 1  | 
| 5934 | NULL   |  1509018880 | 1509021232 |  2352 | 2017-10-26 11:54:40.680 |  54 | 1  | 
| 5934 | NULL   |  1509021327 | 1509041423 | 20096 | 2017-10-26 12:35:27.760 |  54 | 1  | 
| 5934 | NULL   |  1509042027 | 1509179109 | 137082 | 2017-10-26 18:20:27.460 |  54 | 1  | 
| 5934 | NULL   |  1509174809 | 1509175309 |  500 | 2017-10-28 07:13:29.010 | 709 | NULL | 
| 5934 | NULL   |  1509179335 | 1509179907 |  572 | 2017-10-28 08:28:55.660 |  54 | 1  | 
| 5934 | NULL   |  1509180005 | 1509180828 |  823 | 2017-10-28 08:40:05.890 |  54 | 1  | 
| 5934 | NULL   |  1509180925 | 1509187555 |  6630 | 2017-10-28 08:55:25.270 |  54 | 1  | 
| 5934 | NULL   |  1509187624 | 1509189851 |  2227 | 2017-10-28 10:47:04.630 |  54 | 1  | 
| 5934 | NULL   |  1509190143 | 1509190301 |  158 | 2017-10-28 11:29:03.580 |  54 | 1  | 
| 5934 | NULL   |  1509190387 | 1509191479 |  1092 | 2017-10-28 11:33:07.230 |  54 | 1  | 
| 5934 | NULL   |  1509191575 | 1509192224 |  649 | 2017-10-28 11:52:55.150 |  54 | 1  | 
| 5934 | NULL   |  1509192314 | 1509192479 |  165 | 2017-10-28 12:05:14.800 |  54 | 1  | 
| 5934 | NULL   |  1509192588 | 1509218423 | 25835 | 2017-10-28 12:09:48.670 |  54 | 1  | 
| 5934 | NULL   |  1509219048 | 1509224551 |  5503 | 2017-10-28 19:30:48.440 |  54 | 1  | 
| 5934 | NULL   |  1509225176 | 1509260681 | 35505 | 2017-10-28 21:12:56.600 |  54 | 1  | 
| 5934 | NULL   |  1509260770 | 1509269210 |  8440 | 2017-10-29 07:06:10.840 |  54 | 1  | 
| 5934 | NULL   |  1509261874 | 1509262382 |  508 | 2017-10-29 07:24:34.730 | 709 | NULL | 
| 5934 | NULL   |  1509269612 | 1509270116 |  504 | 2017-10-29 09:33:32.580 | 698 | 1  | 
| 5934 | NULL   |  150927| 1509270136 |  13 | 2017-10-29 09:42:03.510 | 698 | 1  | 
| 5934 | NULL   |  1509270499 | 1509271818 |  1319 | 2017-10-29 09:48:19.940 |  54 | 1  | 
| 5934 | NULL   |  1509271880 | 1509272029 |  149 | 2017-10-29 10:11:20.030 |  54 | 1  | 
| 5934 | NULL   |  1509339400 | 1509348800 |  9400 | 2017-10-30 04:56:40.890 |  54 | 1  | 
| 5934 | NULL   |  1509348868 | 1509350133 |  1265 | 2017-10-30 07:34:28.720 |  54 | 1  | 
| 5934 | NULL   |  1509349430 | 1509349892 |  462 | 2017-10-30 07:43:50.690 | 709 | 1  | 
| 5934 | NULL   |  1509350202 | 1509352410 |  2208 | 2017-10-30 07:56:42.050 |  54 | 1  | 
| 5934 | NULL   |  1509352779 | 1509353737 |  958 | 2017-10-30 08:39:39.040 |  54 | 1  | 
| 5934 | NULL   |  1509353800 | 1509354320 |  520 | 2017-10-30 08:56:40.150 |  54 | 1  | 
| 5934 | NULL   |  1509354782 | 1509358601 |  3819 | 2017-10-30 09:13:02.250 |  54 | 1  | 
| 5934 | NULL   |  1509359418 | 1509432505 | 73087 | 2017-10-30 10:30:18.960 |  54 | 1  | 
| 5934 | NULL   |  1509432786 | 1509432917 |  131 | 2017-10-31 06:53:06.880 |  54 | 1  | 
| 5934 | NULL   |  1509432999 | 1509433705 |  706 | 2017-10-31 06:56:39.133 |  54 | 1  | 
| 5934 | NULL   |  1509433790 | 1509438679 |  4889 | 2017-10-31 07:09:50.570 |  54 | 1  | 
| 5934 | NULL   |  1509438792 | 1509438859 |  67 | 2017-10-31 08:33:12.063 |  54 | 1  | 
| 5934 | NULL   |  1509438962 | 1509441624 |  2662 | 2017-10-31 08:36:02.810 |  54 | 1  | 
| 5934 | NULL   |  1509443082 | 1509443985 |  903 | 2017-10-31 09:44:42.670 |  54 | 1  | 
| 5934 | NULL   |  1509443897 | 1509443930 |  33 | 2017-10-31 09:58:17.230 |  54 | 1  | 
| 5934 | NULL   |  1509444103 | 1509447041 |  2938 | 2017-10-31 10:01:43.537 |  54 | 1  | 
| 5934 | NULL   |  1509447618 | 1509450979 |  3361 | 2017-10-31 11:00:18.440 |  54 | 1  | 
| 5934 | NULL   |  1509451066 | 1509451371 |  305 | 2017-10-31 11:57:46.560 |  54 | 1  | 
+--------+--------------+----------------+--------------+----------+-------------------------+--------+---------+

(40)는 어떻게 달성하기 위해 그 TSQL에서 삭제와 지연을 사용하고 계십니까? 지연 시간은 숫자와 시간대로 입력해야합니다. ASC

출처

2017-11-08 Ayman Elarian

+1

, 당신은을 보여줄 수 예상 결과? – gotqn

답변

1

cross apply을 사용하면 도움이 될 수 있습니다.

select 
* 
from table1 t 
cross apply (
    select top(1) move_to_date as next_move_to 
    from table1 nxt 
    where nxt.zonechk IS NULL 
    and nxt.move_to_date > t.move_from_date 
    order by nxt.move_from_date, nxt.move_to_date 
) ca 
where zonechk = 1

Results : SQL Fiddle

CREATE TABLE Table1 
    ([Number] int, [plate_number] varchar(4), [move_from_date] int, [move_to_date] int, [Duration] int, [inTime] datetime, [zoneid] int, [zonechk] varchar(4)) 
; 

INSERT INTO Table1 
    ([Number], [plate_number], [move_from_date], [move_to_date], [Duration], [inTime], [zoneid], [zonechk]) 
VALUES 
    (5934, NULL, 1507713204, 1508147403, 434199, '2017-10-11 09:13:24', 54, '1'), 
    (5934, NULL, 1507793515, 1507793924, 409, '2017-10-12 07:31:55', 709, NULL), 
    (5934, NULL, 1508051465, 1508051861, 396, '2017-10-15 07:11:05', 709, '1'), 
    (5934, NULL, 1508139025, 1508139551, 526, '2017-10-16 07:30:25', 709, '1'), 
    (5934, NULL, 1508147732, 1508148337, 605, '2017-10-16 09:55:32', 698, NULL), 
    (5934, NULL, 1508148802, 1508235374, 86572, '2017-10-16 10:13:22', 54, '1'), 
    (5934, NULL, 1508227127, 1508227707, 580, '2017-10-17 07:58:47', 709, NULL), 
    (5934, NULL, 1508235727, 1508236062, 335, '2017-10-17 10:22:07', 698, '1') 
;

검색어 1에서 데모로 사용할 수

게시 된 샘플 데이터에 대한

| Number | plate_number | move_from_date | move_to_date | Duration |    inTime | zoneid | zonechk | next_move_to | 
|--------|--------------|----------------|--------------|----------|----------------------|--------|---------|--------------| 
| 5934 |  (null) |  1507713204 | 1508147403 | 434199 | 2017-10-11T09:13:24Z |  54 |  1 | 1507793924 | 
| 5934 |  (null) |  1508051465 | 1508051861 |  396 | 2017-10-15T07:11:05Z | 709 |  1 | 1508148337 | 
| 5934 |  (null) |  1508139025 | 1508139551 |  526 | 2017-10-16T07:30:25Z | 709 |  1 | 1508148337 | 
| 5934 |  (null) |  1508148802 | 1508235374 | 86572 | 2017-10-16T10:13:22Z |  54 |  1 | 1508227707 |

출처

2017-11-08 11:07:18

+0

예상 결과에 대한 더 많은 정보가 유용 할 것입니다. –

+0

잘 작동합니다. 예상대로 고맙습니다. –

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