Question

在雪花SQL中工作。我的日期字段是mm-dd-yyyy。我想将其转换为mm-yyyy，然后在mm-yyyy级别将其余查询分组。

我有：

select
    SFDC_ACCOUNT_KEY,
    date_trunc('month',DATE_CURRENT) as mm_yyyy,
    max(ACTIVE_COMMERCIAL_UNITS) as max_active_commercial_units,
    max(ACTIVE_HOA_UNITS) as max_active_hoa_units,
    max(ACTIVE_RESIDENTIAL_UNITS) as max_active_res_units,
    max(TOTAL_ACTIVE_UNITS) as max_total_active_units
FROM SHARED.CUSTOMERS_DIM
group by sfdc_account_key, date_current
order by sfdc_account_key, date_current;

由于原始日期是mm-dd-yyyyy，所以我仍要返回日级数据集（原始表位于mm-dd-yyyyy级别），当我希望将其包装为mm- yyyy级别。

这让我发疯了，因为我敢肯定这很简单，但是已经晚了，我很困惑。

任何帮助将不胜感激。

Answer 1

在分组依据中使用date_trunc('month',DATE_CURRENT)而不是date_current

select
    SFDC_ACCOUNT_KEY,
    date_trunc('month',DATE_CURRENT) as mm_yyyy,
    max(ACTIVE_COMMERCIAL_UNITS) as max_active_commercial_units,
    max(ACTIVE_HOA_UNITS) as max_active_hoa_units,
    max(ACTIVE_RESIDENTIAL_UNITS) as max_active_res_units,
    max(TOTAL_ACTIVE_UNITS) as max_total_active_units
FROM SHARED.CUSTOMERS_DIM
group by sfdc_account_key, date_trunc('month',DATE_CURRENT)
order by sfdc_account_key, date_trunc('month',DATE_CURRENT)

Snowflake SQL-将mmddyyyy转换为mmyyyy，然后按mmyyyy分组

1 个答案: