运行 本年度和上一年的每周总计

Running Total for Current & Previous Year on weekly basis

此查询提供今年和上一年迄今为止的价格和平方英尺的年初至今数字。这更像是 运行 当前年份和上一年的总计,在这种情况下,从 1 到 7 等等……(2017 年第 7 周结束于 02/19/ 2017)当年和上一年(2016 年第 7 周结束于 02/22/2016)。我使用子查询的原因是因为这是我所知道的解决这种情况的 only 方法。当然,如果您认为执行此查询有更短、可行的替代方法,请提出建议。

Actual_Sale_Date 保存一周中所有 7 天的数据,但我们在星期日截止,这就是为什么 2/22/2016(2016 年第 7 周结束的星期日)和 2/19/2017(周日结束 2017 年第 7 周)。

我只试过"Actual_Sale_Date" = date_trunc('week', now())::date - 1这个函数returns前一周的数据在过去的星期天结束。我查看了 interval,因为 dateadd 在 postgresql 中不存在,但我无法解决它。

我的查询:

select (money(Sum("Price") / COUNT("Price"))) as "Avg_Value YTD",
Round(Avg("Price"/"Sq_Ft"),+2) as "Avg_PPSF YTD",

(select 
(money(Sum("Price") / COUNT("Price")))  from allsalesdata
where "Actual_Sale_Date" >=  '01/01/2016' AND "Actual_Sale_Date" < '02/22/2016'
and "Work_ID" = 'SO') AS "Last Year at this time Avg_Value", 


(select Round(Avg("Price"/"Sq_Ft"),+2)
from allsalesdata
where "Actual_Sale_Date" >=  '01/01/2016' AND "Actual_Sale_Date" <  '02/22/2016' 
and "Work_ID" = 'SO') AS "Last Year at this time Avg_PPSF"


from allsalesdata
where "Actual_Sale_Date" >=  '01/01/2017' AND "Actual_Sale_Date" <'02/20/2017'
and "Work_ID" = 'SO'

示例数据:

Price       Sq_Ft        Actual_Sale_Date        Work_ID

45871       3583           01/15/2016             SO
55874       4457           02/05/2016             SO
88745       4788           02/20/2016             SO
58745       1459           01/10/2016             SO
88749       2145           01/25/2017             SO
74856       1478           01/25/2017             SO
74586       4587           01/31/2017             ABC
74745       1142           02/10/2017             SO
74589       2214           02/19/2017             SO

这应该是你需要的(假设你有最新版本的 PG):

SELECT DISTINCT wk AS "Week",
       sum("Price")::money FILTER (WHERE yr = 2017) OVER w / 
       count("Price") FILTER (WHERE yr = 2017) OVER w AS "Avg_Value YTD",
       sum("Price")::money FILTER (WHERE yr = 2017) OVER w / 
       sum("Sq_Ft") FILTER (WHERE yr = 2017) OVER w AS "Avg_PPSF YTD",
       sum("Price")::money FILTER (WHERE yr = 2016) OVER w / 
       count("Price") FILTER (WHERE yr = 2016) OVER w AS "Last Year this time Avg_Value",
       sum("Price")::money FILTER (WHERE yr = 2016) OVER w / 
       sum("Sq_Ft") FILTER (WHERE yr = 2016) OVER w AS "Last Year this time Avg_PPSF",
FROM (
    SELECT extract(isoyear from "Actual_Sale_Date")::integer AS yr,
           extract(week from "Actual_Sale_Date")::integer AS wk,
           "Price", "Sq_Ft"
    FROM allsalesdata
    WHERE "Work_ID" = 'SO') sub
-- optional, show only completed weeks in this year:
WHERE wk <= extract(week from CURRENT_DATE)::integer - 1 
WINDOW w AS (ORDER BY wk)
ORDER BY wk;

在内部查询中,为每次销售提取销售日期的年份和星期。根据您的要求,一周从星期一开始。

在主查询中,这些行作为单个分区 frame 处理,即从分区开始(=第一行)到 最后一个对等点 当前行。由于 window 定义按 wk 对行进行排序,因此从开始(周 = 1)到当前周的所有行都包含在汇总中。这将为您提供 运行 总数。 sum()count() 函数按相关年份过滤,DISTINCT 子句确保您每周只获得一行。