Hello,

I now believe that the 'taking hours' problem that I was having was
down to having additional indexes on my File table, as Eric suggested.

I am using mysql-5.0.45.

I had these indexes:
JobId
JobId, PathId, FilenameId
PathId
FilenameId

Now I have these indexes:
JobId
JobId, PathId, FilenameId

The queries on my 'real' database now take about a second, rather than half a
day.

A suggestion - perhaps the following comment in src/cats/make_mysql_tables.in
could be changed to include a warning:

#
# Possibly add one or more of the following indexes
#  to the above File table if your Verifies are
#  too slow.
#
#  INDEX (PathId),
#  INDEX (FilenameId),
#  INDEX (FilenameId, PathId)
#  INDEX (JobId),
#



However, I also tested the 3.0.3 and 5.0.1 queries using Eric's test script and
the much larger database that it generates.
I found that there is a definite slowdown.

Results from do_bench("10,13", 2200000). In this case, the slowdown is about
15%.

new|2200000|2200000|312
old|2200000|2200000|268
graham|2200000|2200000|158

Result 'graham' is the time it takes to do a query that I came up with that
looks similar to the postgresql query, but uses the mysql group by trick that
is frowned upon:

SELECT MAX(JobTDate) AS JobTDate, JobId, FileId, FileIndex, PathId, FilenameId, 
LStat, MD5 FROM
 (SELECT JobTDate, JobId, FileId, FileIndex, PathId, FilenameId, LStat, MD5
   FROM
       (SELECT FileId, JobId, PathId, FilenameId, FileIndex, LStat, MD5
          FROM File WHERE JobId IN ($jobid)
         UNION ALL
        SELECT File.FileId, File.JobId, PathId, FilenameId,
               File.FileIndex, LStat, MD5
          FROM BaseFiles JOIN File USING (FileId)
         WHERE BaseFiles.JobId IN ($jobid)
        ) AS T JOIN Job USING (JobId)
   ORDER BY FilenameId, PathId, JobTDate DESC ) AS U
GROUP BY PathId, FilenameId


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