BigQuery: how to perform rolling timestamp window group count that produces row for each day

Question

this is an extension to a question that I asked and resolved on StackOverflow here.

I\'m a BigQuery and SQL novice and I wanted to construct a Standard SQL query tha

Answer 1

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
),
calendar AS (
  SELECT day
  FROM UNNEST (GENERATE_DATE_ARRAY('2016-08-28', '2016-11-06')) AS day
)
SELECT 
  c.day, url, event_id, events, 
  SUM(events) 
    OVER(PARTITION BY url, event_id ORDER BY sec 
      RANGE BETWEEN 259200 PRECEDING AND CURRENT ROW
  ) AS rolling4daysEvents
FROM calendar AS c
LEFT JOIN dailyAggregations AS a
ON a.day = c.day