Sql 如何使用BigQuery分析函数计算时间戳行之间的时间？

我有一个表示分析事件的数据集，如：

Row     timestamp   account_id  type     
1   2018-11-14 21:05:40 UTC abc start    
2   2018-11-14 21:05:40 UTC xyz another_type     
3   2018-11-26 22:01:19 UTC xyz start    
4   2018-11-26 22:01:23 UTC abc start    
5   2018-11-26 22:01:29 UTC xyz some_other_type
11  2018-11-26 22:13:58 UTC xyz start
...

具有一定数量的帐户ID。我需要找到每个

帐户id

的

开始

记录之间的平均时间

我试图使用前面描述的解析函数。我的最终目标是这样一张桌子：

Row     account_id     avg_time_between_events_mins
1     xyz     53
2     abc     47
3     pqr     65
...

我的最佳尝试（基于）如下所示：

WITH
  events AS (
  SELECT
    COUNTIF(type = 'start' AND account_id='abc') OVER (ORDER BY timestamp) as diff,
    timestamp
  FROM
    `myproject.dataset.events`
  WHERE
    account_id='abc')
SELECT
  min(timestamp) AS start_time,
  max(timestamp) AS next_start_time,
  ABS(timestamp_diff(min(timestamp), max(timestamp), MINUTE)) AS minutes_between
FROM
  events
GROUP BY
  diff

WITH
  events AS (
  SELECT
    COUNT(*) OVER (PARTITION BY account_id ORDER BY timestamp ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING) as diff,
    timestamp
  FROM
    `myproject.dataset.events`
  WHERE
    type = 'start')
SELECT
  min(timestamp) AS start_time,
  max(timestamp) AS next_start_time,
  ABS(timestamp_diff(min(timestamp), max(timestamp), MINUTE)) AS minutes_between
FROM
  events
GROUP BY
  diff

这将计算每个

启动

事件与下一个

启动

事件之前的上一个非

启动

事件之间的时间，该事件针对特定的

帐户id

我尝试使用

分区

和

窗口框架子句

，如下所示：

WITH
  events AS (
  SELECT
    COUNTIF(type = 'start' AND account_id='abc') OVER (ORDER BY timestamp) as diff,
    timestamp
  FROM
    `myproject.dataset.events`
  WHERE
    account_id='abc')
SELECT
  min(timestamp) AS start_time,
  max(timestamp) AS next_start_time,
  ABS(timestamp_diff(min(timestamp), max(timestamp), MINUTE)) AS minutes_between
FROM
  events
GROUP BY
  diff

WITH
  events AS (
  SELECT
    COUNT(*) OVER (PARTITION BY account_id ORDER BY timestamp ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING) as diff,
    timestamp
  FROM
    `myproject.dataset.events`
  WHERE
    type = 'start')
SELECT
  min(timestamp) AS start_time,
  max(timestamp) AS next_start_time,
  ABS(timestamp_diff(min(timestamp), max(timestamp), MINUTE)) AS minutes_between
FROM
  events
GROUP BY
  diff

---

但我得到了一张毫无意义的结果表。有人能告诉我，我会如何写这样一个问题，并对其进行推理吗

这并不需要解析函数：

select timestamp_diff(min(timestamp), max(timestamp), MINUTE)) / nullif(count(*) - 1, 0)
from `myproject.dataset.events`
where type = 'start'
group by account_id;

---

这是最近的时间戳减去最早的时间戳，除以比开始次数少一的时间戳。这是两次出发之间的平均值。

哦，哇！我不敢相信这个解决方案是多么简单和明智。非常感谢。@SolomonBothwell-同意，这很简单-但我真的怀疑它是否真的回答了你的问题！如果你接受这个答案，我会相信你的。但在这种情况下，你需要考虑调整你的问题来匹配答案：O？这是因为建议的结果有

行

列吗？没有。我想OP要求在下次启动之前，从启动到最后一次非启动事件之间的平均时间。当你回答两次开始之间的平均值时。有道理？这显然是一项简单的任务，但如果我的帖子让人困惑的话，就需要窗口函数库。我要求按帐户id设置

开始

事件之间的时间间隔。我认为@GordonLinoff的解决方案需要修改为按帐户id设置的第一部分