how to denormalize ranges and store them in a data warehouse?

My custom web servers report session information 开发者_如何学编程in the form of a wall clock timestamp (start of session) and the number of wall click seconds the session lasted.

I want to store this information in a data warehouse (MySQL + start schema) in a way that will allow me to for example query the number of sessions for a particular entity at a specific time. A requirement is that we must be able to extract time series data that will be feed to a graph.

Is there any other way to store the data than to insert a row for every absolute second of the session?

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I would say that the simplest way is to store one row per session with StartTime, EndTime in the fact table.

Let's say we have factSession with:

  ( 
   ...
  ,SessionID int
  ,StartTime datetime
  ,EndTime datetime
  ,EntityID int
   ...
  ) ;

and

TimeSeries TABLE ( TimePoint datetime ) ;

You can:

SELECT  t.TimePoint
       ,f.EntityID
       ,COUNT(f.SessionID) AS cnt
FROM    TimeSeries AS t
        LEFT JOIN factSessions AS f ON ( f.StartTime <= t.TimePoint
                                          AND t.TimePoint <= f.EndTime
                                        )
GROUP BY t.TimePoint ,f.EntityID
ORDER BY t.TimePoint