將多行的彙總日期合併爲一個

我有一個表格，用於在事件（如搖滾音樂會）中存儲GPS座標。將多行的彙總日期合併爲一個

它看起來像這樣：

sequence | event_id | location_id | device_number |   timestamp  | latitude | longitude | event 
-------------------------------------------------------------------------------------------------------------------------------- 
    1  | 101 | 2201  |  220  |  2013-10-29 05:01:00 | 37.757196 | -122.441681 | enter 
    2  | 101 | 2202  |  220  |  2013-10-29 05:02:00 | 37.757196 | -122.441681 | NULL 
    3  | 101 | 2203  |  220  |  2013-10-29 05:03:00 | 37.757196 | -122.441681 | NULL 
    4  | 101 | 2204  |  220  |  2013-10-29 05:04:00 | 37.757196 | -122.441681 | NULL 
    5  | 101 | 2205  |  220  |  2013-10-29 05:05:00 | 37.757196 | -122.441681 | NULL 
    6  | 101 | 2206  |  220  |  2013-10-29 05:06:00 | 37.757196 | -122.441681 | NULL 
    7  | 101 | 2207  |  220  |  2013-10-29 05:07:00 | 37.757196 | -122.441681 | exit 
    8  | 102 | 2208  |  220  |  2013-10-29 05:08:00 | 38.865221 | -123.920201 | enter 
    9  | 102 | 2209  |  220  |  2013-10-29 05:09:00 | 38.865221 | -123.920201 | NULL 
    10  | 102 | 2210  |  220  |  2013-10-29 05:10:00 | 38.865221 | -123.920201 | NULL 
    11  | 102 | 2211  |  220  |  2013-10-29 05:11:00 | 38.865221 | -123.920201 | NULL 
    12  | 102 | 2212  |  220  |  2013-10-29 05:12:00 | 38.865221 | -123.920201 | NULL 
    13  | 102 | 2213  |  220  |  2013-10-29 05:13:00 | 38.865221 | -123.920201 | NULL 
    14  | 102 | 2214  |  220  |  2013-10-29 05:14:00 | 38.865221 | -123.920201 | exit 
    15  | 101 | 2215  |  220  |  2013-10-29 05:15:00 | 37.757196 | -122.441681 | enter 
    16  | 101 | 2216  |  220  |  2013-10-29 05:16:00 | 37.757196 | -122.441681 | NULL 
    17  | 101 | 2217  |  220  |  2013-10-29 05:17:00 | 37.757196 | -122.441681 | NULL 
    18  | 101 | 2218  |  220  |  2013-10-29 05:18:00 | 37.757196 | -122.441681 | NULL 
    19  | 101 | 2219  |  220  |  2013-10-29 05:19:00 | 37.757196 | -122.441681 | NULL 
    20  | 101 | 2220  |  220  |  2013-10-29 05:20:00 | 37.757196 | -122.441681 | NULL 
    21  | 101 | 2221  |  220  |  2013-10-29 05:21:00 | 37.757196 | -122.441681 | exit 
    22  | 101 | 2222  |  330  |  2013-10-29 05:15:00 | 37.757197 | -122.441682 | enter 
    23  | 101 | 2223  |  330  |  2013-10-29 05:16:00 | 37.757197 | -122.441682 | NULL 
    24  | 101 | 2224  |  330  |  2013-10-29 05:17:00 | 37.757197 | -122.441682 | NULL 
    25  | 101 | 2225  |  330  |  2013-10-29 05:18:00 | 37.757197 | -122.441682 | NULL 
    26  | 101 | 2226  |  330  |  2013-10-29 05:19:00 | 37.757197 | -122.441682 | NULL 
    27  | 101 | 2227  |  330  |  2013-10-29 05:20:00 | 37.757197 | -122.441682 | exit

一個device_number是用戶擁有特定的GPS設備。
event列根據地理座標指示特定GPS device_number何時進入或離開event_id。

我想總結在表上面的數據稱爲billable_times：

id | event_id | device_number | begin_time  |  end_time  | duration (minutes) 
---------------------------------------------------------------------------------------------- 
1 | 101 |  220  | 2013-10-29 05:01:00 | 2013-10-29 05:07:00 | 6 
2 | 102 |  220  | 2013-10-29 05:08:00 | 2013-10-29 05:14:00 | 6 
3 | 101 |  220  | 2013-10-29 05:15:00 | 2013-10-29 05:21:00 | 6 
4 | 101 |  330  | 2013-10-29 05:15:00 | 2013-10-29 05:20:00 | 5

我怎麼能存儲範圍時間戳作爲單行只有begin_time和end_time？

下面是一些有用的表創建腳本：

CREATE TABLE `intersections` (
    `sequence` int(11) NOT NULL AUTO_INCREMENT, 
    `event_id` int(11) DEFAULT NULL, 
    `location_id` int(11) NOT NULL, 
    `device_number` varchar(255) NOT NULL, 
    `timestamp` datetime NOT NULL, 
    `latitude` decimal(20,15) NOT NULL, 
    `longitude` decimal(20,15) NOT NULL, 
    `event` varchar(255) DEFAULT NULL, 
    PRIMARY KEY (`sequence`), 
    UNIQUE KEY `index_intersections_on_location_id_and_event_id` (`location_id`,`event_id`) 
); 


INSERT INTO `intersections` (`sequence`, `event_id`, `location_id`, `device_number`, `timestamp`, `latitude`, `longitude`, `event`) 
VALUES 
    (1, 101, 2201, '220', '2013-10-29 05:01:00', 37.757196, -122.441681, 'enter'), 
    (2, 101, 2202, '220', '2013-10-29 05:02:00', 37.757196, -122.441681, NULL), 
    (3, 101, 2203, '220', '2013-10-29 05:03:00', 37.757196, -122.441681, NULL), 
    (4, 101, 2204, '220', '2013-10-29 05:04:00', 37.757196, -122.441681, NULL), 
    (5, 101, 2205, '220', '2013-10-29 05:05:00', 37.757196, -122.441681, NULL), 
    (6, 101, 2206, '220', '2013-10-29 05:06:00', 37.757196, -122.441681, NULL), 
    (7, 101, 2207, '220', '2013-10-29 05:07:00', 37.757196, -122.441681, 'exit'), 

    (8, 102, 2208, '220', '2013-10-29 05:08:00', 37.757196, -122.441681, 'enter'), 
    (9, 102, 2209, '220', '2013-10-29 05:09:00', 37.757196, -122.441681, NULL), 
    (10, 102, 2210, '220', '2013-10-29 05:10:00', 37.757196, -122.441681, NULL), 
    (11, 102, 2211, '220', '2013-10-29 05:11:00', 37.757196, -122.441681, NULL), 
    (12, 102, 2212, '220', '2013-10-29 05:12:00', 37.757196, -122.441681, NULL), 
    (13, 102, 2213, '220', '2013-10-29 05:13:00', 37.757196, -122.441681, NULL), 
    (14, 102, 2214, '220', '2013-10-29 05:14:00', 37.757196, -122.441681, 'exit'), 

    (15, 101, 2215, '220', '2013-10-29 05:15:00', 37.757196, -122.441681, 'enter'), 
    (16, 101, 2216, '220', '2013-10-29 05:16:00', 37.757196, -122.441681, NULL), 
    (17, 101, 2217, '220', '2013-10-29 05:17:00', 37.757196, -122.441681, NULL), 
    (18, 101, 2218, '220', '2013-10-29 05:18:00', 37.757196, -122.441681, NULL), 
    (19, 101, 2219, '220', '2013-10-29 05:19:00', 37.757196, -122.441681, NULL), 
    (20, 101, 2220, '220', '2013-10-29 05:20:00', 37.757196, -122.441681, NULL), 
    (21, 101, 2221, '220', '2013-10-29 05:21:00', 37.757196, -122.441681, 'exit'), 

    (22, 101, 2222, '330', '2013-10-29 05:15:00', 37.757196, -122.441681, 'enter'), 
    (23, 101, 2223, '330', '2013-10-29 05:16:00', 37.757196, -122.441681, NULL), 
    (24, 101, 2224, '330', '2013-10-29 05:17:00', 37.757196, -122.441681, NULL), 
    (25, 101, 2225, '330', '2013-10-29 05:18:00', 37.757196, -122.441681, NULL), 
    (26, 101, 2226, '330', '2013-10-29 05:19:00', 37.757196, -122.441681, NULL), 
    (27, 101, 2227, '330', '2013-10-29 05:20:00', 37.757196, -122.441681, 'exit'); 

CREATE TABLE `billable_times` (
    `id` int(11) NOT NULL AUTO_INCREMENT, 
    `event_id` int(11) DEFAULT NULL, 
    `device_number` varchar(255) DEFAULT NULL, 
    `begin_time` datetime DEFAULT NULL, 
    `end_time` datetime DEFAULT NULL, 
    `duration` float DEFAULT NULL, 
    PRIMARY KEY (`id`) 
);

我使用MySQL，但任何SQL味道會被接受。（我會試着將它翻譯成MySQL :)。

來源

2013-11-27 Glenn

試試這個

insert into billable_times 

SELECT event_id, device_number, 
min(timestamp) begin, 
max(timestamp) end, 
sum(dura) duration from 
(
SELECT sequence, event_id, device_number, timestamp, 
if(@id <> concat(event_id,device_number), 0, 
        TIMESTAMPDIFF(MINUTE,@prev, timestamp)) dura, 
@rank := if(@id <> concat(event_id,device_number), @rank + 1, @rank) rn, 
@prev := timestamp, @id := concat(event_id,device_number) 
from intersections, (Select @diff := 0, @id := null, @prev := null, @rank :=1) r 
) v group by event_id, device_number, rn 
order by rn; 

select * from billable_times;

SQL FIDDLE

來源

2013-11-27 19:22:02

啊，SQL變量。爲什麼我沒有想到這一點。這非常有創意和美麗。謝謝你，rs。 – Glenn

將多行的彙總日期合併爲一個

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