Mysql 用于分析的销售表

早上好， 为了便于分析，我试图从sales表派生出一个表。 我在这些列中有数据：

date | product_id | product_price | category

我希望输出为：

month | category1_quantity | category1_sales | category1_%_of_month_sales | category2_quantity.....category4_%_of_month_sales

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我是mysql新手，您能帮我吗？

假设您的原始表名为sales，可能是这样的：

我在原始数据集中添加了一个计算列month，然后根据它进行分组。 百分比指标需要两个不同的分组month、category和month，我将它们合并在一起

为了将该查询的输出转换为您指定的格式，您必须执行以下繁琐的操作：

select month
,sum(category1_quantity) as category1_quantity
,sum(category1_sales) as category1_sales
,sum(category1_month_sales_pct) as category1_month_sales_pct
,sum(category2_quantity) as category2_quantity
,sum(category2_sales) as category2_sales
,sum(category2_month_sales_pct) as category2_month_sales_pct
    -- and so on for each category
from    
(select month
    ,case when category = 'category1' then quantity else 0 end as category1_quantity
    ,case when category = 'category1' then sales else 0 end  as category1_sales
    ,case when category = 'category1' then month_sales_pct else 0 end  as category1_month_sales_pct
    ,case when category = 'category2' then quantity else 0 end  as category2_quantity
    ,case when category = 'category3' then sales else 0 end  as category2_sales
    ,case when category = 'category4' then month_sales_pct else 0 end as category2_month_sales_pct
    -- and so on for each category
from (<insert the previous query here>) unpivoted_summary)pivoted
group by month

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欢迎来到SO。看：嗨@sonam_zangmo，谢谢你的帮助！第一部分运行平稳，而第二部分遇到问题。它每列返回0。您可以发布销售数据的示例吗？您的实际类别值是否与内部子查询中的stings匹配？e、 g.“category1”从您建议的编辑Pietro中，我看到您通过插入实际类别值“包装”、“膳食”、“饮料”、“零食”实现了这一功能。然而，我将保持我的答案的通用性，并与您最初的问题保持一致。

select month
,sum(category1_quantity) as category1_quantity
,sum(category1_sales) as category1_sales
,sum(category1_month_sales_pct) as category1_month_sales_pct
,sum(category2_quantity) as category2_quantity
,sum(category2_sales) as category2_sales
,sum(category2_month_sales_pct) as category2_month_sales_pct
    -- and so on for each category
from    
(select month
    ,case when category = 'category1' then quantity else 0 end as category1_quantity
    ,case when category = 'category1' then sales else 0 end  as category1_sales
    ,case when category = 'category1' then month_sales_pct else 0 end  as category1_month_sales_pct
    ,case when category = 'category2' then quantity else 0 end  as category2_quantity
    ,case when category = 'category3' then sales else 0 end  as category2_sales
    ,case when category = 'category4' then month_sales_pct else 0 end as category2_month_sales_pct
    -- and so on for each category
from (<insert the previous query here>) unpivoted_summary)pivoted
group by month