如何在Postgresql中显示特定状态下客户和产品的每种组合的最大数量? [英] How to show the maximum number for each combination of customer and product in a specific state in Postgresql?
问题描述
我刚刚开始学习Postgresql。
我有一个名为 sales的表:
I just begin learning Postgresql recently. I have a table named 'sales':
create table sales
(
cust varchar(20),
prod varchar(20),
day integer,
month integer,
year integer,
state char(2),
quant integer
)
insert into sales values ('Bloom', 'Pepsi', 2, 12, 2001, 'NY', 4232);
insert into sales values ('Knuth', 'Bread', 23, 5, 2005, 'PA', 4167);
insert into sales values ('Emily', 'Pepsi', 22, 1, 2006, 'CT', 4404);
insert into sales values ('Emily', 'Fruits', 11, 1, 2000, 'NJ', 4369);
insert into sales values ('Helen', 'Milk', 7, 11, 2006, 'CT', 210);
......
它看起来像这样:
总共有500行。
It looks like this: And there are 500 rows in total.
现在,我想使用查询来实现这一点:
Now I want to use the query to implement this:
对于客户和产品的每种组合,请分别在3个单独的列中输出
NY的最大销售量以及NJ和CT的最小销售量。与第一个
报告类似,显示相应的日期(即,最大和最小销售
数量的日期)。此外,对于CT和NJ,仅包括2000年以后发生的销售额;纽约的
,包括所有销售额。
应该是这样的:
It should be like this:
我尝试了以下查询:
SELECT
cust customer,
prod product,
MAX(CASE WHEN rn3 = 1 THEN quant END) NY_MAX,
MAX(CASE WHEN rn3 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date,
MIN(CASE WHEN rn2 = 1 THEN quant END) NJ_MIN,
MIN(CASE WHEN rn2 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date,
MIN(CASE WHEN rn1 = 1 THEN quant END) CT_MIN,
MIN(CASE WHEN rn1 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date
FROM (
SELECT
*,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant) rn1,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant) rn2,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant DESC) rn3
FROM sales
) x
WHERE rn1 = 1 OR rn2 = 1 or rn3 = 1
GROUP BY cust, prod;
结果是:
This is the result:
这是错误的,因为它显示了所有状态的最大数量和最小数量,而不是我想要的特定状态。而且我不知道该如何处理年份这一问题。
This is wrong because it shows me the maximum number and minimum number of all states, not of the specific state I want. And I have no idea how to deal with the year as the question as me to do.
推荐答案
我们可以使用单独的方法进行处理CTE和日历表:
We can handle this using separate CTEs along with a calendar table:
WITH custprod AS (
SELECT DISTINCT cust, prod
FROM sales
),
ny_sales AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY cust, prod ORDER BY quant DESC) rn
FROM sales
WHERE state = 'NY'
),
nj_sales AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY cust, prod ORDER BY quant) rn
FROM sales
WHERE state = 'NJ'
),
ct_sales AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY cust, prod ORDER BY quant) rn
FROM sales
WHERE state = 'CT'
)
SELECT
cp.cust,
cp.prod,
nys.quant AS ny_max,
nys.year::text || '-' || nys.month::text || '-' || nys.day::text AS ny_date,
njs.quant AS nj_max,
njs.year::text || '-' || njs.month::text || '-' || njs.day::text AS nj_date,
cts.quant AS ct_max,
cts.year::text || '-' || cts.month::text || '-' || cts.day::text AS ct_date
FROM custprod cp
LEFT JOIN ny_sales nys
ON cp.cust = nys.cust AND cp.prod = nys.prod AND nys.rn = 1
LEFT JOIN nj_sales njs
ON cp.cust = njs.cust AND cp.prod = njs.prod AND njs.rn = 1
LEFT JOIN ct_sales cts
ON cp.cust = cts.cust AND cp.prod = cts.prod AND cts.rn = 1
ORDER BY
cp.cust,
cp.prod;
注意:您没有提供全面的示例数据,但以上内容似乎在演示中起作用
Note: You didn't provide comprehensive sample data, but the above seems to be working in the demo link below.
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