These queries let you define find user sessions against event data logged to Segment SQL, Snowplow, or Google BigQuery.

Finding User Sessions with SQL

-- These queries let you define find user sessions against event data
-- logged to Segment SQL, Snowplow, or Google BigQuery.
-- For more details, see the full post:
-- LINK


--- SEGMENT SQL
-- Finding the start of every session
SELECT *
  FROM (
       SELECT *
              LAG(sent_at,1) OVER (PARTITION BY user_id ORDER BY sent_at) AS last_event
        FROM "your_project".tracks
      ) last
WHERE EXTRACT('EPOCH' FROM sent_at) - EXTRACT('EPOCH' FROM last_event) >= (60 * 10)
   OR last_event IS NULL

-- Mapping every event to its session
SELECT *,
       SUM(is_new_session) OVER (ORDER BY user_id, sent_at ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS global_session_id,
       SUM(is_new_session) OVER (PARTITION BY user_id ORDER BY sent_at ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS user_session_id
  FROM (
       SELECT *,
              CASE WHEN EXTRACT('EPOCH' FROM sent_at) - EXTRACT('EPOCH' FROM last_event) >= (60 * 10) 
                     OR last_event IS NULL 
                   THEN 1 ELSE 0 END AS is_new_session
         FROM (
              SELECT *,
                     LAG(sent_at,1) OVER (PARTITION BY user_id ORDER BY sent_at) AS last_event
                FROM "your_project".tracks
              ) last
       ) final


--- SNOWPLOW
-- Finding the start of every session
SELECT *
  FROM (
       SELECT *
              LAG(collector_tstamp,1) OVER (PARTITION BY domain_userid ORDER BY collector_tstamp) AS last_event
        FROM "your_project".events
      ) last
WHERE EXTRACT('EPOCH' FROM collector_tstamp) - EXTRACT('EPOCH' FROM last_event) >= (60 * 10)
   OR last_event IS NULL

-- Mapping every event to its session
SELECT *,
       SUM(is_new_session) OVER (ORDER BY domain_userid, collector_tstamp ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS global_session_id,
       SUM(is_new_session) OVER (PARTITION BY domain_userid ORDER BY collector_tstamp ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS user_session_id
  FROM (
       SELECT *,
              CASE WHEN EXTRACT('EPOCH' FROM collector_tstamp) - EXTRACT('EPOCH' FROM last_event) >= (60 * 10) 
                     OR last_event IS NULL 
                   THEN 1 ELSE 0 END AS is_new_session
         FROM (
              SELECT *,
                     LAG(collector_tstamp,1) OVER (PARTITION BY domain_userid ORDER BY collector_tstamp) AS last_event
                FROM "your_project".events
              ) last
       ) final


--- GOOGLE BIGQUERY
-- Finding the start of every session
SELECT * 
  FROM (
       SELECT *,
              LAG(occurred_at,1) OVER (PARTITION BY fullVisitorId ORDER BY occurred_at) AS last_event
         FROM (
              SELECT fullVisitorId,
                     visitStartTime + hits.time/1000 AS occurred_at
                FROM "your_tables"
              ) pre
       ) last
 WHERE occurred_at - last_event >= (60 * 10)
    OR last_event IS NULL

-- Mapping every event to its session
SELECT *,
       SUM(is_new_session) OVER (ORDER BY fullVisitorId, occurred_at) AS global_session_id
  FROM (
       SELECT *,
              CASE WHEN occurred_at - last_event >= (60 * 10) OR last_event IS NULL THEN 1 ELSE 0 END AS is_new_session
         FROM (
              SELECT *,
                     LAG(occurred_at,1) OVER (PARTITION BY fullVisitorId ORDER BY occurred_at) AS last_event
                FROM (
                     SELECT fullVisitorId,
                            visitStartTime + hits.time/1000 AS occurred_at
                       FROM "your_tables"
                     ) pre
              ) last
       ) final
 ORDER BY 1,2

In the Google BigQuery queries, what is the reason for adding hits.time/1000 in visitStartTime + hits.time/1000 AS occurred_at?

Following up here, was this ever solved? Using Big Query as well, would be great to get this data