Question

So I want to compare new users to returning users in a table by month. I have a table that contains each action with a username and a date stamp.

I can easily pull users that performed an action in, for example, January 2011. To see see if each user is new I need to then run their username against all previous records (prior to January 2011).

In my fumblings I came up with the following:

  SELECT ini.username,
         MIN(ini.datetime) AS firstAction,
         COUNT(ini.datetime) AS numMonth,
         (SELECT COUNT(*) 
            FROM tableActions tot
           WHERE tot.username = ini.username
             AND tot.datetime < '201101%' 
             AND tot.datetime > '201001%') AS numTotal
    FROM tableActions ini
   WHERE DATETIME >= '201101%' 
     AND DATETIME < '201102%'
GROUP BY ini.username
ORDER BY firstAction

It doesn’t error, but it doesn’t finish either. Seems to be quite intense.

Answer 1

You can re-write the query to be (assuming tableactions.datetime is a DATETIME data type):

   SELECT ini.username,
          MIN(ini.datetime) AS firstAction,
          COUNT(ini.datetime) AS numMonth,
          x.numTotal
     FROM tableActions ini
LEFT JOIN (SELECT tot.username,
                  COUNT(*) AS numTotal
             FROM tableActions tot
            WHERE tot.datetime > '2010-01-01'
              AND tot.datetime < '2011-01-01'
         GROUP BY tot.username) x ON x.username = ini.username
    WHERE ini.datetime BETWEEN '2011-01-01' AND '2011-01-31'
 GROUP BY ini.username
 ORDER BY firstAction

Might help to have an index on username at a minimum, though a covering index using username, datetime is worth considering.

The datetime comparison looks suspect – LIKE is the only to support wildcards.