Google bigquery 大查询-如何扩展每个公司列中的值，以使用现有值填充每个公司列中的所有空值？_Google Bigquery

Google bigquery 大查询-如何扩展每个公司列中的值，以使用现有值填充每个公司列中的所有空值？

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Google bigquery 大查询-如何扩展每个公司列中的值，以使用现有值填充每个公司列中的所有空值？,google-bigquery,Google Bigquery,我使用的表如下所示（底部提供了在您的环境中复制此表的查询）：在我的虚拟表中，timestamp\u signup仅在每个id的1行上出现（它出现在显示公司注册的在线会话的行上）。如果一家公司从未注册，则没有timestamp\u signup值我想做的是计算每个团队总共有多少页面浏览量在一个团队注册之前，每个团队有多少页面浏览量（timestamp_page_view试试这个： with mytable as ( SELECT 1 AS id, '2021-04-17 17:01:

我使用的表如下所示（底部提供了在您的环境中复制此表的查询）：

在我的虚拟表中，

timestamp\u signup

仅在每个id的1行上出现（它出现在显示公司注册的在线会话的行上）。如果一家公司从未注册，则没有

timestamp\u signup

值

我想做的是计算

每个团队总共有多少页面浏览量

在一个团队注册之前，每个团队有多少页面浏览量（timestamp_page_view试试这个：

with mytable as (
  SELECT 1 AS id, '2021-04-17 17:01:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 1 AS id, '2021-04-16 14:31:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-14 21:13:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-13 11:15:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 1 AS id, '2021-04-12 14:57:00' AS timestamp_page_view, '2021-04-12 14:59:00' AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-09 11:33:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-05 14:44:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-03-31 17:12:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 2 AS id, '2021-03-31 17:13:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-31 12:45:00' AS timestamp_page_view, '2021-03-31 12:45:00' AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-30 04:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 2 AS id, '2021-03-29 19:47:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-28 17:16:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-27 14:00:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-18 18:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-03 15:54:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-02-27 21:44:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-13 13:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-12 12:56:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-30 17:17:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-04-18 14:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-04-19 14:50:00' AS timestamp_page_view, '2021-04-19 14:54:00' AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-04-20 17:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-30 15:56:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-03 09:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-29 10:10:00' AS timestamp_page_view, NULL AS timestamp_signup
)
select 
  id,
  countif(future_signup is not null) as views_before_signup,
  count(*) as total_views
from (
  select 
    *,
    max(timestamp_signup) over (partition by id order by timestamp_page_view desc) as future_signup
  from mytable
)
group by id

谢谢，这是可行的。我会把你的答案分解一下，以便我能从你的知识中学习。如果你认为这对社区有帮助并且写得好，请考虑一下这个问题。

 id     total_views     views_before_signup
    
    1          4                   8
    2          5                   6
    3          0                   5
    4          6                   7

 SELECT id,
        COUNT(timestamp_page_view) AS total_views, 
        SUM(CASE WHEN timestamp_page_view <= timestamp_signup THEN 1 ELSE 0 END) AS views_before_signups,
FROM table_1 
GROUP BY id

SELECT 1 AS id, '2021-04-17 17:01:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
SELECT 1 AS id, '2021-04-16 14:31:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 1 AS id, '2021-04-14 21:13:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 1 AS id, '2021-04-13 11:15:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
SELECT 1 AS id, '2021-04-12 14:57:00' AS timestamp_page_view, '2021-04-12 14:59:00' AS timestamp_signup UNION ALL 
SELECT 1 AS id, '2021-04-09 11:33:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 1 AS id, '2021-04-05 14:44:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 1 AS id, '2021-03-31 17:12:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
SELECT 2 AS id, '2021-03-31 17:13:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 2 AS id, '2021-03-31 12:45:00' AS timestamp_page_view, '2021-03-31 12:45:00' AS timestamp_signup UNION ALL 
SELECT 2 AS id, '2021-03-30 04:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
SELECT 2 AS id, '2021-03-29 19:47:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 2 AS id, '2021-03-28 17:16:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 2 AS id, '2021-03-27 14:00:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 3 AS id, '2021-03-18 18:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 3 AS id, '2021-03-03 15:54:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 3 AS id, '2021-02-27 21:44:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 3 AS id, '2021-03-13 13:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 3 AS id, '2021-03-12 12:56:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-03-30 17:17:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-04-18 14:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-04-19 14:50:00' AS timestamp_page_view, '2021-04-19 14:54:00' AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-04-20 17:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-03-30 15:56:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-03-03 09:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
SELECT 4 AS id, '2021-03-29 10:10:00' AS timestamp_page_view, NULL AS timestamp_signup

with mytable as (
  SELECT 1 AS id, '2021-04-17 17:01:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 1 AS id, '2021-04-16 14:31:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-14 21:13:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-13 11:15:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 1 AS id, '2021-04-12 14:57:00' AS timestamp_page_view, '2021-04-12 14:59:00' AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-09 11:33:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-04-05 14:44:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 1 AS id, '2021-03-31 17:12:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 2 AS id, '2021-03-31 17:13:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-31 12:45:00' AS timestamp_page_view, '2021-03-31 12:45:00' AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-30 04:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL
  SELECT 2 AS id, '2021-03-29 19:47:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-28 17:16:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 2 AS id, '2021-03-27 14:00:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-18 18:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-03 15:54:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-02-27 21:44:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-13 13:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 3 AS id, '2021-03-12 12:56:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-30 17:17:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-04-18 14:14:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-04-19 14:50:00' AS timestamp_page_view, '2021-04-19 14:54:00' AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-04-20 17:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-30 15:56:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-03 09:18:00' AS timestamp_page_view, NULL AS timestamp_signup UNION ALL 
  SELECT 4 AS id, '2021-03-29 10:10:00' AS timestamp_page_view, NULL AS timestamp_signup
)
select 
  id,
  countif(future_signup is not null) as views_before_signup,
  count(*) as total_views
from (
  select 
    *,
    max(timestamp_signup) over (partition by id order by timestamp_page_view desc) as future_signup
  from mytable
)
group by id