在 Google BigQuery 中按用户和月份分组

Question

我是 BigQuery 的新手，我编写了以下查询：

select
email,
min(address.zip) as zip,
min(country) as country,
min(source),
min(created_at) as first_order,
max(created_at)as last_order,
count(order_number) as number_orders,
sum(total_price) as total_spent
from orders_data
group by email

它给我的是一个表格，其中所有订单都按客户分组，输出如下：

email | zip | country | source | first_order | last_order | number_orders | total_spent |

我想补充的是另一个按月分组。我希望每月获得每位客户（电子邮件）的 total_spend 和 number_orders。

根据更容易的情况，结果可能如下所示：

email | zip | country | source | first_order | last_order | number_orders | total_spent | 2017_January_spent | 2017_January_num_orders | 2017_February_spent | 2017_February_num_orders | ... | 

或按行分组，如下所示：

 month  | email | zip | country | source | first_order | last_order | number_orders | total_spent | 2017_January_spent | 2017_January_num_orders | 2017_February_spent | 2017_February_num orders | ... | 
 01.2017| cust_A|
 02.2017| cust_A|
 03.2017| cust_A|

不确定是否有帮助，但我的数据范围从 2017 年到 2020 年，我的时间戳变量“created_at”如下所示：2020-01-02 16:20:12 UTC

我已经尝试通过添加group by moth(created_at) 并且还使用timestamp_trunc 但失败了。

我们将不胜感激！

非常感谢！

Answer 1

使用date_trunc() 或适合您的列类型的函数：

select timestamp_trunc(created_at, month) as mon, email,
       min(address.zip) as zip, min(country) as country, min(source),
       min(created_at) as first_order, max(created_at)as last_order,
       count(order_number) as number_orders, sum(total_price) as total_spent
from orders_data
group by mon, email
order by mon, email;