BigQuery: how to group and count rows within rolling timestamp window?

Question

I have some experience with MongoDB and I\'m learning about BigQuery. I\'m trying to perform the following task, and I don\'t know how to do it using BigQuery\'s standard SQ

Answer 1

Below is for BigQuery Standard SQL (see Enabling Standard SQL

I am using ts as a field name (instead timestamp as it is in your example) and assume this field is of TIMESTAMP data type

WITH dailyAggregations AS (
  SELECT 
    DATE(ts) AS day, 
    url, 
    event_id, 
    UNIX_SECONDS(TIMESTAMP(DATE(ts))) AS sec, 
    COUNT(1) AS events 
  FROM yourTable
  GROUP BY day, url, event_id, sec
)
SELECT 
  url, event_id, day, events, 
  SUM(events) 
    OVER(PARTITION BY url, event_id ORDER BY sec 
      RANGE BETWEEN 259200 PRECEDING AND CURRENT ROW
  ) AS rolling3daysEvents
FROM dailyAggregations
-- ORDER BY url, event_id, day

The value of 259200 is actually 3x24x3600 so sets 3 days range, so you can set whatever actual rolling period you need