我每小时将不同用户钱包的余额存储在数据库中:
Table: snapshots
id wall_id balance created_at
--------------------------------------------------
...
1300 30 1461.18721408 2019-07-05 18:00:05
1301 30 2922.37442816 2019-07-05 19:00:05
1302 30 228.31050220 2019-07-05 20:00:05
1303 30 2283.10502200 2019-07-05 21:00:05
1304 30 285.38812775 2019-07-05 22:00:05
1305 30 57.07762555 2019-07-05 23:00:05 <--
1306 25 2511.41552420 2019-07-05 18:00:05
1307 25 251.14155242 2019-07-05 19:00:05
1308 25 21735.61642968 2019-07-05 20:00:05
1309 25 22523.28766227 2019-07-05 21:00:05
1310 25 79.90867577 2019-07-05 22:00:05
1311 25 285.38812775 2019-07-05 23:00:05 <--
1312 100 2511.41552420 2019-07-05 18:00:05
1313 100 251.14155242 2019-07-05 19:00:05
1314 100 21735.61642968 2019-07-05 20:00:05
1315 100 22523.28766227 2019-07-05 21:00:05
1316 100 79.90867577 2019-07-05 22:00:05
1317 100 285.38812775 2019-07-05 23:00:05
1318 30 1461.18721408 2019-07-06 18:00:05
1319 30 2922.37442816 2019-07-06 19:00:05
1320 30 228.31050220 2019-07-06 20:00:05
1321 30 2283.10502200 2019-07-06 21:00:05
1322 30 285.38812775 2019-07-06 22:00:05
1323 30 79.90867577 2019-07-06 23:00:05 <--
1324 25 2511.41552420 2019-07-06 18:00:05
1325 25 251.14155242 2019-07-06 19:00:05
1326 25 21735.61642968 2019-07-06 20:00:05
1327 25 22523.28766227 2019-07-06 21:00:05
1328 25 79.90867577 2019-07-06 22:00:05
1329 25 21735.61642968 2019-07-06 23:00:05 <--
1330 100 2511.41552420 2019-07-06 18:00:05
1331 100 251.14155242 2019-07-06 19:00:05
1332 100 21735.61642968 2019-07-06 20:00:05
1333 100 22523.28766227 2019-07-06 21:00:05
1334 100 79.90867577 2019-07-06 22:00:05
1335 100 285.38812775 2019-07-06 23:00:05
...
现在我想获取在wall.id = 30 && 25的每一天所做的最后快照的总和。
要了解算法,我标记了应添加的值。
F.e。:
Example result for wall_id 30 & 25 on EOD
day sumEOD
--------------------------------------------------
2019-07-05 00:00:00 342.4657533
2019-07-06 00:00:00 21815.52510545
还应该可以对其进行修改,并获取在wall.id = 30 && 25的情况下每周进行的最新快照的总和。
实现这一目标的最简单方法是什么?我正在运行postgresql。
答案 0 :(得分:1)
SELECT
created_date,
SUM(balance) AS sum_balance
FROM (
SELECT DISTINCT ON (1, 2)
wall_id,
created_at::date AS created_date,
balance
FROM
snapshots
WHERE wall_id IN (25, 30)
ORDER BY 1, 2, created_at DESC
) s
GROUP BY created_date
DISTINCT ON
为您提供有序组的第一条记录。在这种情况下,组为(wall_id, created_at::date)
。 created_at::date
给出了时间戳的一部分。当然,顺序是按组排序的,在该组内,记录按其时间戳记DESC
进行排序,时间戳记将每天的最新记录排序到组的顶部。这个由DISTINCT ON
拍摄。
之后,您可以简单地将结果分组。
答案 1 :(得分:1)
首先使用group by wall_id, date(created_at)
查找每天制作的最后快照,然后加入表并按天获取总和:
select
date(s.created_at) "day",
sum(s.balance) sumEOD
from snapshots s inner join (
select wall_id, max(created_at) maxdate
from snapshots
where wall_id in ('25', '30')
group by wall_id, date(created_at)
) g on g.wall_id = s.wall_id and g.maxdate = s.created_at
group by "day"
order by "day"
请参见demo。
结果:
| day | sumeod |
| ------------------------ | -------------- |
| 2019-07-05T00:00:00.000Z | 342.4657533 |
| 2019-07-06T00:00:00.000Z | 21815.52510545 |
如果您想获取每周的总和,则可以更改:
group by wall_id, date(created_at)
收件人:
group by wall_id, date_trunc('week', created_at)