我在这里找到了解决方案, sql query that groups different items into buckets
只要有所有范围的数据,它就能正常工作。如果没有数据,我希望查询返回0.
所以,如果我的表是:
item_name | price
i1 | 2
i2 | 22
i3 | 4
i4 | 26
i5 | 44
i6 | 6
我希望输出为:
range | number of item
0 - 10 | 3
11 - 20 | 0
21 - 30 | 2
31 - 40 | 0
41 - 50 | 1
以下查询不会显示0计数案例的结果。
select
case when price >= 0 and price <= 10 then " 0 - 10"
when price > 10 and price <= 20 then " 10 - 20"
when price > 20 and price <= 30 then " 20 - 30"
when price > 30 and price <= 40 then " 30 - 40"
when price > 40 and price <= 50 then " 40 - 50"
else "over 50"
end PriceRange,
count(*) as TotalWithinRange
from
YourTable
group by 1
有人有解决方案吗?
答案 0 :(得分:1)
您需要构建一个包含所有价格范围的内联表。然后根据您的查询对派生表执行LEFT JOIN
以获得预期结果:
SELECT x.PriceRange, COALESCE(TotalWithinRange, 0) AS TotalWithinRange
FROM (
SELECT "0 - 10" AS PriceRange
UNION SELECT "10 - 20"
UNION SELECT "20 - 30"
UNION SELECT "30 - 40"
UNION SELECT "40 - 50"
UNION SELECT "over 50" ) x
LEFT JOIN (
SELECT
CASE when price >= 0 and price <= 10 then "0 - 10"
when price > 10 and price <= 20 then "10 - 20"
when price > 20 and price <= 30 then "20 - 30"
when price > 30 and price <= 40 then "30 - 40"
when price > 40 and price <= 50 then "40 - 50"
else "over 50"
END AS PriceRange,
COUNT(*) as TotalWithinRange
FROM YourTable
GROUP BY 1 ) y ON x.PriceRange = y.PriceRange
答案 1 :(得分:0)
按TotalWithinRange
分组,因此它会计算每个类别
答案 2 :(得分:0)
这可能不是最有效的答案,但您可以为每个组尝试单独的SUM(CASE)
语句。例如:
SUM(CASE WHEN price >= 0 AND price <= 10 THEN 1 ELSE 0 END) AS "0-10"
等等。这应该打印出SUMs为0的类别。