Count number of events before and after a event “A” till another event “A” is encountered in Big query?

☆樱花仙子☆ 提交于 2020-01-14 03:55:14

问题


I have a table containing date and events and users. There is event named 'A'. I want to find out how many time a particular event occurred before and after event 'A' in SQL Bigquery. The event A might appear multiple times. But it should count events only till it encounters another event A in both before and after condition.
for Example,

 User           Date             Events
    123          2018-02-14            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
    123          2018-02-13            A

The output would be something like this.

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

The other condition remains same.

This question is an extension of my previous question.

See How to count number of a particular event before another event in SQL Bigquery? for details.

The event that I have to count contains a particular prefix. Means I have to check events that start with ( X.Y.then some event name). So, X.Y.SomeEvent are the events that I have to set the counter for. Any Suggestions?


回答1:


Below is for BigQuery Standard SQL

#standardSQL
WITH grps AS (
  SELECT user, dt, event, 
    COUNTIF(event = 'A') OVER(PARTITION BY user ORDER BY dt) grp
  FROM `project.dataset.events`
)
SELECT dt, user, event, before, after 
FROM (
  SELECT dt, user, event, 
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY grp RANGE BETWEEN 1 PRECEDING AND 1 PRECEDING ) before,
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY grp RANGE BETWEEN CURRENT ROW AND CURRENT ROW) after
  FROM grps
)
WHERE event = 'A'
-- ORDER BY user  

you can test/play with above using dummy data from your example like below

#standardSQL
WITH `project.dataset.events` AS (
  SELECT 123 user,  '2018-02-14' dt, 'X.Y.A' event UNION ALL
  SELECT 123,       '2018-02-13', 'A'     UNION ALL
  SELECT 123,       '2018-02-12', 'X.Y.B' UNION ALL
  SELECT 123,       '2018-02-11', 'A'     UNION ALL
  SELECT 123,       '2018-02-01', 'X.Y.Z' 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'     
), grps AS (
  SELECT user, dt, event, 
    COUNTIF(event = 'A') OVER(PARTITION BY user ORDER BY dt) grp
  FROM `project.dataset.events`
)
SELECT dt, user, event, before, after 
FROM (
  SELECT dt, user, event, 
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY grp RANGE BETWEEN 1 PRECEDING AND 1 PRECEDING ) before,
    COUNTIF(event LIKE 'X.Y.%') OVER(PARTITION BY user ORDER BY grp RANGE BETWEEN CURRENT ROW AND CURRENT ROW) after
  FROM grps
)
WHERE event = 'A'
ORDER BY user  

with result as

Row dt          user    event   before  after    
1   2018-02-11  123     A       1       1    
2   2018-02-13  123     A       1       1    
3   2018-02-04  134     A       0       1    



回答2:


This is a more general question. Use can use the same ideas with lag() and lead():

select userid,
       (seqnum - lag(seqnum, 1, 0) over (partition by userid, order by date) - 1) as before,
       (lead(seqnum, 1, cnt) over (partition by user_id order by date) - seqnum - 1) as after
from (select t.*,
             row_number() over (partition by userid order by date) as seqnum,
             count(*) over (partition by userid) as cnt
      from t
      where event like 'X.Y%' or event = 'A'
     ) t
where event = 'A';


来源:https://stackoverflow.com/questions/48810682/count-number-of-events-before-and-after-a-event-a-till-another-event-a-is-en

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