如何在SQL Bigquery中的另一个事件之前计算特定事件的数量?

时间:2018-02-14 19:23:53

标签: sql google-bigquery legacy-sql

我有一个包含日期,事件和用户的表格。有一个名为'A'的事件。我想知道在Sql Bigquery中事件'A'之前和之后发生特定事件的时间。例如,

   User           Date             Events
    123          2018-02-13            X.Y.A
    123          2018-02-12            X.Y.B
    134          2018-02-10            Y.Z.A
    123          2018-02-11            A
    123          2018-02-01            X.Y.Z
    134          2018-02-05            X.Y.B
    134          2018-02-04            A

输出将是这样的

User       Event    Before   After
123          A      1        3
134          A      0        1

我必须计算的事件包含特定的前缀。意味着我必须检查以(X.Y.然后某个事件名称)开头的事件。所以,X.Y.SomeEvent是我必须设置计数器的事件。有什么建议吗?

2 个答案:

答案 0 :(得分:2)

下面是BigQuery SQL

#standardSQL
SELECT user, event, before, after 
FROM (
  SELECT user, event, 
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY dt ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) before,
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY dt ROWS BETWEEN 1 FOLLOWING AND UNBOUNDED FOLLOWING ) after
  FROM `project.dataset.events`
)
WHERE event = 'A'
-- ORDER BY user

您可以在问题中使用虚拟数据进行测试

#standardSQL
WITH `project.dataset.events` AS (
  SELECT 123 user, '2018-02-13' dt, 'X.Y.A' event UNION ALL
  SELECT 123, '2018-02-12', 'X.Y.B' UNION ALL
  SELECT 123, '2018-02-11', 'A' UNION ALL
  SELECT 134, '2018-02-10', 'Y.Z.A' UNION ALL
  SELECT 134, '2018-02-05', 'X.Y.B' UNION ALL
  SELECT 134, '2018-02-04', 'A' UNION ALL
  SELECT 123, '2018-02-01', 'X.Y.Z' 
)
SELECT user, event, before, after 
FROM (
  SELECT user, event, 
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY dt ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) before,
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY dt ROWS BETWEEN 1 FOLLOWING AND UNBOUNDED FOLLOWING ) after
  FROM `project.dataset.events`
)
WHERE event = 'A'
ORDER BY user

答案 1 :(得分:1)

用户窗口用于查找" A"发生。然后使用条件聚合来计算事件之前和之后的事件:

select userid,
       sum(case when date < a_date and event like 'X.Y%' then 1 else 0 end) as before,
       sum(case when date > a_date and event like 'X.Y%' then 1 else 0 end) as before
from (select t.*,
             min(case when event = 'A' then date end) over (partition by userid) as a_date
      from t
     ) t
group by userid