vschoener opened a new issue #3209: Extra % added in SQL Lab during 
visualisation 
URL: https://github.com/apache/incubator-superset/issues/3209
 
 
   Make sure these boxes are checked before submitting your issue - thank you!
   
   - [No required] I have checked the superset logs for python stacktraces and 
included it here as text if any
   - [x] I have reproduced the issue with at least the latest released version 
of superset
   - [x] I have checked the issue tracker for the same issue and I haven't 
found one similar
   
   
   ### Superset version
   {"GIT_SHA": "", "version": "0.18.5"}
   
   ### Expected results
   A list grouped by time (hourly) and type (24 columns, with 2 type, breakdown 
to display them
   
   ### Actual results
   It works well when I edit my query, then when I visualize, the result is not 
right. Only 2 column instead of 24
   
   ### Steps to reproduce
   Here is my SQL query:
   
   SELECT 
        count(*) as 'total_activities', type, hour(`datetime`) as hourly
   FROM activity
   GROUP BY `type`, DATE_FORMAT(`datetime`, "H:00:00")
   ORDER BY `datetime` ASC;
   
   --------------
   
   The visualised query looks like : 
   
   SELECT hourly AS hourly,
          type AS type,
                  sum(total_activities) AS sum__total_activities
   FROM
     (SELECT count(*) as 'total_activities',
             type,
             hour(`datetime`) as hourly
      FROM activity
      GROUP BY `type`,
               DATE_FORMAT(`datetime`, "%%%%H:00:00")
      ORDER BY `datetime` ASC) AS expr_qry
   GROUP BY hourly,
            type
   ORDER BY sum__total_activities DESC
   LIMIT 50000
   
   As you see, it adds 2 extra "%%" in the DATE_FORMAT, so the result for 
hourly will return only "0" instead of the 12 or 24 hours (depending of the 
format needed)
   
   Is this normal ? Or did I miss something ? Maybe better way to display ma 
data by hour for a 24 hour grouped with type of activity ?
   
   Thanks
 
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[email protected]


With regards,
Apache Git Services

Reply via email to