首页 > 解决方案 > 在 BigQuery 上运行过去 30 天的 Sum

问题描述

我试图在 BigQuery 中的 Google Merchandise Store 公共数据集上获取以下查询:

  1. 日期
  2. 不同用户数
  3. 过去 30 天不同用户数的运行总和

例如(为简单起见,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,但我不知道如何获得运行总和:

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

任何帮助表示赞赏!:)

标签: sqlgoogle-bigquerycumulative-sum

解决方案


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

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