Google bigquery 如何在BigQuerySQL中使用混合（度量和求和（度量））条件？

我有一张这样的桌子：

首先，我想创建两个表，它们按1:

Activity

和2:`Model分组，如下所示： 然后：

现在我想从这两个表中创建第三个表，共有4列：

表1（活动表）中的分数>=0.3*总和（分数）=>这里的分数是总分

表2（模型表）中的分数>=0.3*总和（分数）=>这里的分数是总分

表1（活动表）中的分数>=0.3*总和（分数）=>这里的分数是总分

表2（模型表）中的分数>=0.3*总和（分数）=>这里的分数是总分

对前两个表的查询我很清楚： 从表格中选择活动、总和（分数）、总和（分数）。表格按活动分组； 从表格中选择模型、总和（分数）、总和（分数）。表格按模型分组； 但我不知道在这之后该怎么做。有人知道如何构建这个复杂的表吗

最终结果：

在这里，您看到的分数和分数总和至少为分数和分数总和的0.3%，其中包括：

以下是文本格式的数据：

Date        Activity    Model       Score   Points

01-Dec-20   Football    T2SSHEDF    20       0

02-Dec-20   Cricket     R45SFDVG    60       10

03-Dec-20   Badminton   W348DVG     80       2

04-Dec-20   BasketBall  GH43ERH     90       40

05-Dec-20   Cricket     T2SSHEDF    10       10

06-Dec-20   Football    R45SFDVG    40       10

07-Dec-20   BasketBall  W348DVG     32       30

08-Dec-20   Badminton   GH43ERH     28       20

---

下面是BigQuery标准SQL

#standardSQL
with `project.dataset.table` as (
  select '01-Dec-20' Date, 'Football' Activity, 'T2SSHEDF' Model, 20 Score, 0 Points union all
  select '02-Dec-20', 'Cricket', 'R45SFDVG', 60, 10 union all
  select '03-Dec-20', 'Badminton', 'W348DVG', 80, 2 union all
  select '04-Dec-20', 'BasketBall', 'GH43ERH', 90, 40 union all
  select '05-Dec-20', 'Cricket', 'T2SSHEDF', 10, 10 union all
  select '06-Dec-20', 'Football', 'R45SFDVG', 40, 10 union all
  select '07-Dec-20', 'BasketBall', 'W348DVG', 32, 30 union all
  select '08-Dec-20', 'Badminton', 'GH43ERH', 28, 20 
), table1 as (
  select Activity, sum(Score) Score, sum(Points) Points
  from `project.dataset.table`
  group by Activity
), table2 as (
  select Model, sum(Score) Score, sum(Points) Points
  from `project.dataset.table`
  group by Model
)
select Dimention, sum(Score) as Score, sum(Points) as Points
from (
  select 'Activity' as Dimention, Score, Points, Score >= 0.3 * sum(Score) over() as qualified
  from table1 union all
  select 'Row Labels', Score, Points, Score >= 0.3 * sum(Score) over()
  from table2
)
where qualified
group by Dimention

最终结果/输出

---

下面是BigQuery标准SQL

#standardSQL
with `project.dataset.table` as (
  select '01-Dec-20' Date, 'Football' Activity, 'T2SSHEDF' Model, 20 Score, 0 Points union all
  select '02-Dec-20', 'Cricket', 'R45SFDVG', 60, 10 union all
  select '03-Dec-20', 'Badminton', 'W348DVG', 80, 2 union all
  select '04-Dec-20', 'BasketBall', 'GH43ERH', 90, 40 union all
  select '05-Dec-20', 'Cricket', 'T2SSHEDF', 10, 10 union all
  select '06-Dec-20', 'Football', 'R45SFDVG', 40, 10 union all
  select '07-Dec-20', 'BasketBall', 'W348DVG', 32, 30 union all
  select '08-Dec-20', 'Badminton', 'GH43ERH', 28, 20 
), table1 as (
  select Activity, sum(Score) Score, sum(Points) Points
  from `project.dataset.table`
  group by Activity
), table2 as (
  select Model, sum(Score) Score, sum(Points) Points
  from `project.dataset.table`
  group by Model
)
select Dimention, sum(Score) as Score, sum(Points) as Points
from (
  select 'Activity' as Dimention, Score, Points, Score >= 0.3 * sum(Score) over() as qualified
  from table1 union all
  select 'Row Labels', Score, Points, Score >= 0.3 * sum(Score) over()
  from table2
)
where qualified
group by Dimention

最终结果/输出

---

您可能希望将示例数据包含为文本，这将使复制和设置演示更加容易。另外，我建议显示您的实际预期输出，而不是单独的描述。您好，谢谢您的建议，我已经相应地更新了问题！您可能希望将示例数据包含为文本，这将使复制和设置演示更加容易。另外，我建议显示您的实际预期输出，而不是单独的描述。您好，谢谢您的建议，我已经相应地更新了问题！我只建造了它，直到一群人为了理解而建造。我只建造了它，直到一群人为了理解而建造