使用 BigQuery 计算当前第 7 天的活跃用户

Question

如果我没记错的话，计算当前日活跃用户应该很简单。只需将今天和 x 天带回(7 天活跃将是 6 天(，然后计算不同的 ID。我对 2 天活跃用户有以下查询：

WITH allTables AS (
  SELECT 
    CONCAT(user_dim.app_info.app_id, ':', user_dim.app_info.app_platform) AS app,
    event.date,
    user_dim.app_info.app_instance_id as users
  FROM `dataset.app_events_intraday_20170407`
  CROSS JOIN
    UNNEST(event_dim) AS event
  UNION ALL
  SELECT 
    CONCAT(user_dim.app_info.app_id, ':', user_dim.app_info.app_platform) AS app,
    event.date,
    user_dim.app_info.app_instance_id as users
  FROM `dataset.app_events_20170406`
  CROSS JOIN
    UNNEST(event_dim) AS event
) SELECT COUNT(DISTINCT(users)) AS unique,
   COUNT(users) as total
FROM allTables

这是 2 天的活动，但对于 7 天或 30 天，我只会将所有这些表合并在一起。这是正确的还是需要修改？

Answer 1

与其使用

UNION ALL，不如尝试使用 Querying Multiple Tables Using a Wildcard Table

尝试如下操作

#standardSQL
WITH allTables AS (
  SELECT 
    CONCAT(user_dim.app_info.app_instance_id, ':', user_dim.app_info.app_platform) AS app,
    event.date,
    user_dim.app_info.app_instance_id AS users
  FROM `dataset.app_events_intraday_*`, UNNEST(event_dim) AS event
  WHERE _TABLE_SUFFIX BETWEEN '20170401' AND '20170407' 
  UNION ALL
  SELECT 
    CONCAT(user_dim.app_info.app_instance_id, ':', user_dim.app_info.app_platform) AS app,
    event.date,
    user_dim.app_info.app_instance_id AS users
  FROM `dataset.app_events_*`, UNNEST(event_dim) AS event
  WHERE _TABLE_SUFFIX BETWEEN '20170401' AND '20170407' 
) 
SELECT 
  COUNT(DISTINCT(users)) AS unique,
  COUNT(users) AS total
FROM allTables

您可以在下面使用 for WHERE 子句以使其更通用

WHERE _TABLE_SUFFIX 
   BETWEEN FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 6 DAY)) 
   AND FORMAT_DATE('%Y%m%d', CURRENT_DATE())

另请注意：我将user_dim.app_info.app_id app_id更改为app_instance_id，因为我认为这是您的错字 - 但我可能是错的