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()
和 count()
函数按相关年份过滤,DISTINCT
子句确保您每周只获得一行。
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()
和 count()
函数按相关年份过滤,DISTINCT
子句确保您每周只获得一行。