postgres - select T1 中的最新行就在 T2 中每一行的时间戳之前

postgres - select latest row in T1 just before timestamp for each row in T2

我检查了多个问题,但没有找到答案。因此,对于类似的解决方案,我将不胜感激 answer/link。 我有两个 table:车辆和事件。每辆车都有多个 GPS 位置 - 假设玩具示例中有 4 辆车,有 11 行 GPS ping。但说玩具测试只有 2 个事件。

例如车辆(每一行都有唯一的gid,每辆车有vehicle_id,还有时间戳date_time和位置geom):

SELECT gid, vehicle_id, date_time, geom FROM test_v vehicles ORDER BY 2,3,1;


   gid   | vehicle_id |      date_time      |                        geom                        
---------+------------+---------------------+----------------------------------------------------
 1257854 |        742 | 2009-06-06 19:02:01 | 01010000208A7D0000667CC002A7262741A444A87995324041
 1258089 |        742 | 2009-06-06 19:03:29 | 01010000208A7D00007ABCA45AD22227415A5ADEB5662E4041
 1258842 |        742 | 2009-06-06 19:07:23 | 01010000208A7D000083D5151C7414274196D0D21AE7284041
 1259213 |        742 | 2009-06-06 19:09:11 | 01010000208A7D000054160E1FE4052741D6E2E74CD2284041
 1257939 |       3055 | 2009-06-06 19:02:31 | 01010000208A7D0000327D6277FAF426418EA975ECB6504041
 1258898 |       3055 | 2009-06-06 19:07:41 | 01010000208A7D000003519FB5D5F6264166B1B943C3514041
 1259313 |       3425 | 2009-06-06 19:09:35 | 01010000208A7D0000418D23C296442741FCFCEF0069394041
 1258008 |       3426 | 2009-06-06 19:02:56 | 01010000208A7D000011958634824027414D5D3823A43C4041
 1258307 |       3426 | 2009-06-06 19:04:37 | 01010000208A7D0000C8017753AB38274175E727CBA43A4041
 1258744 |       3426 | 2009-06-06 19:06:56 | 01010000208A7D00005F9811D7903A274145135F0589384041
 1259018 |       3426 | 2009-06-06 19:08:13 | 01010000208A7D0000546B478B323A2741F4CB8DB6AD374041
(11 rows)

事件(唯一 gid、时间戳 t_date 和位置 geom):

SELECT gid, t_date, geom FROM test_c events;
  gid  |       t_date        |                        geom                        
-------+---------------------+----------------------------------------------------
 13009 | 2009-06-06 19:04:31 | 01010000208A7D000034F06A423F18274123DF6756B8194041
 13021 | 2009-06-06 19:08:53 | 01010000208A7D0000D093E2A470FE26413E935C3A5E304041

想法是了解每个事件发生时的情况,哪些车辆更近,然后优化车辆分配到事件。

所以我想加入这些 tables 以便我为每个事件获得最多 4 行(作为车辆数量)以及每辆车在 120 分钟之前的时间段内的最后已知位置事件和直到事件时间,按两者之间的距离排序。我希望它们在同一个 table 中,这样我就可以按时间、地点、事件类型等对它们进行比较。

现在我被困在这里了。我知道如何找到特定时间段内车辆的最新记录(比如 19:10)。但这不是我需要的,因为它在时间 19:10 切断了 table 的车辆。但是对于 gid= 13009 时间为 19:04:31 的事件,因此可能包含一个晚于事件的位置。我想要的是事件发生时的最新位置,每个事件显然都不同。

我试过这个:

SELECT DISTINCT ON (1)
  v.vehicle_id
  , row_number() OVER() as gid
  , st_distance(v.geom, c.geom)::float4 as distance_m
  , c.gid as c_gid 
  , v.gid as v_gid
  , c.t_date as dt_c 
  , v.date_time as dt_v 
  , (c.t_date - v.date_time) as d_t
FROM (SELECT * FROM test_c ) as c
  ,  (SELECT * FROM test_v ORDER BY date_time DESC )  v
WHERE date_time >= (c.t_date -  '120 minute' :: INTERVAL) AND date_time <= (c.t_date + '0 minute' :: INTERVAL)
ORDER BY 1, 7  DESC , 5, 6 ,  c.geom <-> v.geom ASC ;

这是我得到的:

 vehicle_id | gid | distance_m | c_gid |  v_gid  |        dt_c         |        dt_v         |   d_t    
------------+-----+------------+-------+---------+---------------------+---------------------+----------
        742 |   3 |     4748.6 | 13021 | 1258842 | 2009-06-06 19:08:53 | 2009-06-06 19:07:23 | 00:01:30
       3055 |   2 |    17125.8 | 13021 | 1258898 | 2009-06-06 19:08:53 | 2009-06-06 19:07:41 | 00:01:12
       3426 |   1 |    8515.65 | 13021 | 1259018 | 2009-06-06 19:08:53 | 2009-06-06 19:08:13 | 00:00:40
(3 rows)

我得到的日期不正确,而且每辆车只出现一次(我猜是因为 DISTINCT),但我需要它们在每个事件中出现一次并具有适当的最后位置(因此在此示例中,2 次事件为 2 次)。

理想情况下,我还希望下一步为每辆车设置 3 个最新位置,但也许那是以后的事。

我是这样理解的:

select *
from (
    select distinct on (c.gid, v.vehicle_id)
        v.vehicle_id
        , row_number() over(order by v.gid) as gid
        , st_distance(v.geom, c.geom)::float4 as distance_m
        , c.gid as c_gid 
        , v.gid as v_gid
        , c.t_date as dt_c 
        , v.date_time as dt_v 
        , (c.t_date - v.date_time) as d_t
    from
        test_c c
        inner join 
        test_v v on
            date_time between c.t_date - '120 minute' :: interval and c.t_date
    order by c.gid, v.vehicle_id, v.date_time desc
) s
order by c_gid, distance_m
;
 vehicle_id | gid | distance_m | c_gid |  v_gid  |        dt_c         |        dt_v         |   d_t    
------------+-----+------------+-------+---------+---------------------+---------------------+----------
        742 |   8 |    10674.9 | 13009 | 1258089 | 2009-06-06 19:04:31 | 2009-06-06 19:03:29 | 00:01:02
       3426 |   5 |    18607.5 | 13009 | 1258008 | 2009-06-06 19:04:31 | 2009-06-06 19:02:56 | 00:01:35
       3055 |   4 |    28516.8 | 13009 | 1257939 | 2009-06-06 19:04:31 | 2009-06-06 19:02:31 | 00:02:00
        742 |  11 |     4748.6 | 13021 | 1258842 | 2009-06-06 19:08:53 | 2009-06-06 19:07:23 | 00:01:30
       3426 |  13 |    8515.65 | 13021 | 1259018 | 2009-06-06 19:08:53 | 2009-06-06 19:08:13 | 00:00:40
       3055 |  12 |    17125.8 | 13021 | 1258898 | 2009-06-06 19:08:53 | 2009-06-06 19:07:41 | 00:01:12