如何获得累积数据？ 我试图在 SQL 中获得以下分桶，但没有得到想要的结果/pyspark

Question

So that <30 bucket vales are not being shown in <60 and so on. how can I achieve this

    case when DATEDIFF((to_date('2022-01-07', 'yyyy-MM-dd')),max(to_date((column), 'yyyy-MM-dd'))) between 0 and 29 then '<30' 
        when DATEDIFF((to_date('2022-01-07', 'yyyy-MM-dd')),max(to_date((column), 'yyyy-MM-dd'))) between 0 and 59 then '<60'
        when DATEDIFF((to_date('2022-01-07', 'yyyy-MM-dd')),max(to_date((column), 'yyyy-MM-dd'))) between 0 and 89 then '<90' 
        when DATEDIFF((to_date('2022-01-07', 'yyyy-MM-dd')),max(to_date((column), 'yyyy-MM-dd'))) between 0 and 179 then '<180' 
        when DATEDIFF((to_date('2022-01-07', 'yyyy-MM-dd')),max(to_date((column), 'yyyy-MM-dd'))) > 180 then '>180'
     end 
     else 'bad_date' 

Answer 1

Just change your between conditions

... between 0 and 29 then '<30'
... between 30 and 59 then '<60'
... between 60 and 89 then '<90'
... between 90 and 179 then '<180'
... > 180 then '>180'