具有 NULL 值的 CASE WHEN 表达式 (Hiveql)

Question

我有以下查询：

SELECT
      rv.country
    , coalesce(rv.client_id, client_id2) as AccountID
    , coalesce(c.name, rv.client_id2)  as AccountName
    , rv.prod_type as ProdType,
    CASE WHEN cs.prod_type IS NULL THEN 'Unknown' ELSE cs.prod_type END as ProdType1,
    ROUND(-SUM(CASE WHEN DATEDIFF(current_date(), rv.date_time) < 90 THEN rv.sold_prods END)) as Last3Months,
    ROUND(-SUM(CASE WHEN DATEDIFF(current_date(), rv.date_time) < 180 THEN rv.sold_prods END)) as Last6Months,
    ROUND(-SUM(CASE WHEN DATEDIFF(current_date(), rv.date_time) < 360 THEN rv.sold_prods END)) as Last12Months
FROM
    commercial.sold_products rv
LEFT JOIN commercial.customer c
ON c.client_id2 = rv.client_id

LEFT JOIN 
    commercial.customer_description cs
ON
    cs.clientid = c.client_id2
    
WHERE rv.country NOT IN ('US', 'JP')
AND cs.prod_type = rv.prod_type
GROUP BY
      rv.country
    , rv.client_id
    , rv.client_id2
    , cs.prod_type
    , c.name
    , rv.prod_type;

预期的 output ：（当然是当前的#数量）

我有 3 个 CASE WHEN 语句应该代表过去 3、6 和 12 个月内售出的产品数量。 然而，一些客户出现 NULL 值，即使我知道我们在 22 天前向他们出售了产品（示例）。

我不确定这个查询有什么问题，所以如果你发现了什么，请告诉我！

还！ 忽略列/表名称，因为公司隐私问题，我更改了它们。 谢谢：）

Answer 1

像这样更改您的查询：

SELECT
      rv.country
    , coalesce(rv.client_id, client_id2) as AccountID
    , coalesce(c.name, rv.client_id2)  as AccountName
    , rv.prod_type as ProdType,
    CASE WHEN cs.prod_type IS NULL THEN 'Unknown' ELSE cs.prod_type END as ProdType1,
    ROUND(-SUM(CASE WHEN DATEDIFF(current_date(), rv.date_time) < 90 THEN rv.sold_prods END)) as Last3Months,
    ROUND(-SUM(CASE WHEN DATEDIFF(current_date(), rv.date_time) < 180 THEN rv.sold_prods END)) as Last6Months,
    ROUND(-SUM(CASE WHEN DATEDIFF(current_date(), rv.date_time) < 360 THEN rv.sold_prods END)) as Last12Months
FROM
    commercial.sold_products rv
LEFT JOIN commercial.customer c
ON c.client_id2 = rv.client_id

LEFT JOIN 
    commercial.customer_description cs
ON
    cs.clientid = c.client_id2 AND cs.prod_type = rv.prod_type
    
WHERE rv.country NOT IN ('US', 'JP')
GROUP BY
      rv.country
    , coalesce(rv.client_id, rv.client_id2) 
    , rv.client_id2
    , cs.prod_type
    , coalesce(c.name, rv.client_id2)
    , rv.prod_type;

如果不正确，您可以共享一些示例数据进行检查，我认为您应该按项目关注您的分组。