下面是 BigQuery 标准 SQL,我假设您仍然在处理与上一个问题相同的用例,所以我想让它与该解决方案保持一致 - 例如,当您还想考虑优先级时,您可以扩展它
所以无论如何:
#standardSQL
WITH check_times AS (
SELECT id, start_time AS TIME FROM `project.dataset.table` UNION DISTINCT
SELECT id, stop_time AS TIME FROM `project.dataset.table`
), distinct_intervals AS (
SELECT id, TIME AS start_time, LEAD(TIME) OVER(PARTITION BY id ORDER BY TIME) stop_time
FROM check_times
), deduped_intervals AS (
SELECT a.id, a.start_time, a.stop_time, MAX(some_value) some_value
FROM distinct_intervals a
JOIN `project.dataset.table` b
ON a.id = b.id
AND a.start_time BETWEEN b.start_time AND b.stop_time
AND a.stop_time BETWEEN b.start_time AND b.stop_time
GROUP BY a.id, a.start_time, a.stop_time
), combined_intervals AS (
SELECT id, MIN(start_time) start_time, MAX(stop_time) stop_time, MAX(some_value) some_value
FROM (
SELECT id, start_time, stop_time, some_value, COUNTIF(flag) OVER(PARTITION BY id ORDER BY start_time) grp
FROM (
SELECT id, start_time, stop_time, some_value,
start_time != IFNULL(LAG(stop_time) OVER(PARTITION BY id ORDER BY start_time), start_time) flag
FROM deduped_intervals
)
)
GROUP BY id, grp
)
SELECT *
FROM combined_intervals
-- ORDER BY id, start_time
如果应用到您的样本数据 - 结果是
Row id start_time stop_time some_value
1 1 0 36 50
2 1 41 47 23
是否可以在结果中再添加一列,以显示该时间段内的事件数量
#standardSQL
WITH check_times AS (
SELECT id, start_time AS TIME FROM `project.dataset.table` UNION DISTINCT
SELECT id, stop_time AS TIME FROM `project.dataset.table`
), distinct_intervals AS (
SELECT id, TIME AS start_time, LEAD(TIME) OVER(PARTITION BY id ORDER BY TIME) stop_time
FROM check_times
), deduped_intervals AS (
SELECT a.id, a.start_time, a.stop_time, MAX(some_value) some_value, ANY_VALUE(To_JSON_STRING(b)) event_hash
FROM distinct_intervals a
JOIN `project.dataset.table` b
ON a.id = b.id
AND a.start_time BETWEEN b.start_time AND b.stop_time
AND a.stop_time BETWEEN b.start_time AND b.stop_time
GROUP BY a.id, a.start_time, a.stop_time
), combined_intervals AS (
SELECT id, MIN(start_time) start_time, MAX(stop_time) stop_time, MAX(some_value) some_value, COUNT(DISTINCT event_hash) events
FROM (
SELECT *, COUNTIF(flag) OVER(PARTITION BY id ORDER BY start_time) grp
FROM (
SELECT *,
start_time != IFNULL(LAG(stop_time) OVER(PARTITION BY id ORDER BY start_time), start_time) flag
FROM deduped_intervals
)
)
GROUP BY id, grp
)
SELECT *
FROM combined_intervals
-- ORDER BY id, start_time
有结果
Row id start_time stop_time some_value events
1 1 0 36 50 8
2 1 41 47 23 1