在 SQL 中，我需要一列的最大值并返回最大值和相应的日期

Question

I have been researching this problem and have found a couple of similar questions, but none of the answers provided have worked for my situation. So, I wanted to reach out and directly pose my aituation

Basically, I need to return a max value where months are equal to January, February, or march (first quarter) and so on with the second quarter through the fourth quarter for each name and return the correspinding date that max value occurred.

For example, my table maybe looks like this: (However, there are many more names and date and money values)

Name	Money	Date
John	1000	1-15-20
John	200	5-30-20
John	2000	8-30-20
John	800	11-19-20

And i would need a table return like this:

Name	Q1 Max	Date	Q2 Max	Date	Q3 Max	Date	Q4 Max	Date
John	1000	1-15-20	200	5-30-20	2000	8-30-20	800	11-19-20

Answer 1

The query you are looking for should look like this:

with data as (
  select 'John' as name, 1000 as "money", cast('1-15-20' as date) as "date" union all
  select 'John', 200, cast('5-30-20' as date) union all
  select 'John', 2000, cast('8-30-20' as date) union all
  select 'John', 800, cast('11-19-20' as date)
)
select
  name,
  max(case when month("date") in (1,2,3) then money else null end) as Q1Max,
  max(case when month("date") in (1,2,3) then date else null end) as "DateQ1",
  max(case when month("date") in (4,5,6) then money else null end) as Q2Max,
  max(case when month("date") in (4,5,6) then date else null end) as "DateQ2",
  max(case when month("date") in (7,8,9) then money else null end) as Q3Max,
  max(case when month("date") in (7,8,9) then date else null end) as "DateQ3",
  max(case when month("date") in (10,11,12) then money else null end) as Q4Max,
  max(case when month("date") in (10,11,12) then date else null end) as "DateQ4"
from data
group by name

You just need to get the max when the months are in the group of the condition in the case when

OUTPUT

name	Q1Max	DateQ1	Q2Max	DateQ2	Q3Max	DateQ3	Q4Max	DateQ4
John	1000	2020-01-15	200	2020-05-30	2000	2020-08-30	800	2020-11-19