Question

我正在尝试在BigQuery的Google商品商店公共数据集中获取以下查询：

日期

不同用户数

最近30天内不同用户的运行总和

例如（为了简单起见，我在示例中使用了3天）：

  date        distinct_users     distinct_users_3days
15/07/2018          8                    15
14/07/2018          2                    12
13/07/2018          5                    20
12/07/2018          5                    15
11/07/2018         10                    10
   ...

这是我当前的SQL代码，它获取前两列，但我不知道如何获取运行总和：

SELECT
  date,
  COUNT(DISTINCT(fullVisitorId)) as daily_active_user
FROM
  `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`
WHERE
  _table_suffix BETWEEN "0101"
  AND "0715"
GROUP BY
  date

感谢您的帮助！：）

Answer 1

请尝试以下查询3天（SQL Server 2014）-：

SELECT date,COUNT(DISTINCT(fullVisitorId)) as daily_active_user,sum(COUNT(DISTINCT(fullVisitorId))) over (PARTITION BY null ORDER BY date desc ROWS 
BETWEEN CURRENT ROW AND 2 FOLLOWING) AS distinct_users_3days FROM YOUR_TABLE_NAME WHERE _table_suffix BETWEEN '0101' AND '715' GROUP BY date

30天-：

SELECT 
date,COUNT(DISTINCT(fullVisitorId)) as daily_active_user,
sum(COUNT(DISTINCT(fullVisitorId))) over (PARTITION BY null ORDER BY date desc ROWS 
BETWEEN CURRENT ROW AND 29 FOLLOWING) AS distinct_users_3days 
FROM YOUR_TABLE_NAME 
WHERE _table_suffix 
BETWEEN '0101' AND '715' 
GROUP BY date

Answer 2

我设法弄清了我的问题的答案，所以我想与其他将来可能遇到此问题的人分享。

SQL代码为：

{{1}}

这将在30天的窗口中提供一列汇总不同用户的信息。

BigQuery最近30天的总和

2 个答案: