根据等级将行转换为列

Question

我试图根据客户的购买日期（等级）将行转换为列，目标是找到客户购买的第一、第二、第三、第四和第五产品类别。我的目标是找到客户购买的第一、第二、第三、第四和第五个产品类别。我还想知道客户购买的是什么产品。

销售表

purchaseDate | productCategory | product      | customer_id | customer_phonenumber | customer_email
2020-05-05     Electronics       iPhone         A001          1234567890             [email protected]
2020-05-06     Clothing          T-shirt        A001          1234567890             [email protected]
2020-05-07     Electronics       Keyboard       A001          1234567890             [email protected]
2020-05-08     Accessories       iPhone Case    A001          1234567890             [email protected]

结果

customer_id | customer_phoneNumber | customer_email | first_product_category | second_product_category | third_product_category | fourth_product_category | fifth_product_category  | first_product | second_product | third_product | fourth_product | fifth_product
A001          1234567890             [email protected]     Electonics               Clothing                    Electronics            Accessories               NULL                      iPhone          T-shirt          Keyboard        iPhone Case      NULL

我不知道有没有其他的方法，因为我现在的查询时间太长了。

这是我的查询。

with ranked_order as (
    select 
        purchaseDate
        , productCategory
        , product
        , customer_id
        , customer_phonenumber
        , customer_email
        , row_number() over(partition by productCategory order by purchaseDate desc) rank
    from sales_table
    )

    select
        customer_id
        , customer_phonenumber
        , customer_email
        , max(case when rank = 1 then productCategory end) first_product_category
        , max(case when rank = 2 then productCategory end) second_product_category
        , max(case when rank = 3 then productCategory end) third_product_category
        , max(case when rank = 4 then productCategory end) fourth_product_category
        , max(case when rank = 5 then productCategory end) fifth_product_category
        , max(case when rank = 1 then product end) first_product
        , max(case when rank = 2 then product end) second_product
        , max(case when rank = 3 then product end) third_product
        , max(case when rank = 4 then product end) fourth_product
        , max(case when rank = 5 then product end) fifth_product
    from 
        ranked_order
    group by 1,2,3

Answer 1

下面是BigQuery标准SQL

#standardSQL
SELECT 
  customer_id, 
  customer_phonenumber, 
  customer_email,
  top5[SAFE_OFFSET(0)].productCategory AS first_product_category,
  top5[SAFE_OFFSET(1)].productCategory AS second_product_category,
  top5[SAFE_OFFSET(2)].productCategory AS third_product_category,
  top5[SAFE_OFFSET(3)].productCategory AS fourth_product_category,
  top5[SAFE_OFFSET(4)].productCategory AS fifth_product_category,
  top5[SAFE_OFFSET(0)].product AS first_product,
  top5[SAFE_OFFSET(1)].product AS second_product,
  top5[SAFE_OFFSET(2)].product AS third_product,
  top5[SAFE_OFFSET(3)].product AS fourth_product,
  top5[SAFE_OFFSET(4)].product AS fifth_product
FROM (
  SELECT customer_id, customer_phonenumber, customer_email,
    ARRAY_AGG(STRUCT(productCategory, product) ORDER BY purchaseDate LIMIT 5) AS top5
  FROM `project.dataset.sales_table`
  GROUP BY customer_id, customer_phonenumber, customer_email
)

Answer 2

我会把值放在数组中。

select customer_id, customer_phonenumber, customer_email,
       array_agg(productCategory order by purchaseDate limit 5) as productCategorys_5,
       array_agg(product order by purchaseDate limit 5) as products_5
from sales_table
group by 1,2,3

这将把数值放在数组中，而不是列中。 如果这样做的性能很好，你可以直接给数组编制索引来获取单个元素（尽管我可能会发现数组更方便）。