Der*_*rek 5 sql database postgresql
我目前正在使用这个:
select avg(tank_level)
from (
select row_number() over (order by id) as rn, tank_level
from data_tanksensor
where sensors_on_site_id = 91
) s
group by (rn + ((Select count(*)/10 From data_tanksensor where sensors_on_site_id = 91)-1))/ (Select count(*)/10 From data_tanksensor where sensors_on_site_id = 91)
;
Run Code Online (Sandbox Code Playgroud)
从表中获取 10 个平均值。该表还有时间戳,我想获取 10 个平均 Tank_level 中每一个的平均时间戳。这用于创建历史图表。如果有人可以帮助我修改此查询以获取平均时间戳,我将不胜感激。提前致谢。
桌子看起来像这样
. id sensors_on_site_id tank_level timestamps
[PK] bigint integer double precision time without time zone
........... .................. ................ ......................
12345 91 7.5 2017-03-24 11:16:31.143362
12346 91 7.6 2017-03-24 11:21:31.148639
12347 91 5.4 2017-03-24 11:26:31.155739
12348 91 3.6 2017-03-24 11:31:31.156478
12349 91 8.5 2017-03-24 11:36:31.157303
12350 91 4.2 2017-03-24 11:41:31.172008
例如,如果我只想计算平均值,我的原始查询将是
select avg(tank_level)
from (
select row_number() over (order by id) as rn, tank_level
from data_tanksensor
where sensors_on_site_id = 91
) s
group by (rn + ((Select count(*)/2 From data_tanksensor where sensors_on_site_id = 91)-1))/ (Select count(*)/2 From data_tanksensor where sensors_on_site_id = 91)
;
粗略地说,查询缺少平均时间戳的部分,这就是我想要弄清楚的。但我想要得到的预期结果是
avg timestamp
double precision timestamp without time zone
................ ...........................
6.833333 2017-03-24 11:21:31...
5.433333 2017-03-24 11:36:31...
同样,这只是示例数据,平均的行数一次为数百行。谢谢
select to_timestamp(avg(timestamps)) "timestamps", avg(tank_level) "TankLevel"
from (
select row_number() over (order by id) as rn, tank_level, extract(epoch from timestamps) "timestamps"
from data_tanksensor
where sensors_on_site_id = 91
) s
group by (rn + ((Select count(*)/10 From data_tanksensor where sensors_on_site_id = 91)-1))/ (Select count(*)/10 From data_tanksensor where sensors_on_site_id = 91)
order by timestamps asc
;
弄清楚了谢谢大家的例子