Can anyone recommend the most efficient method of applying a large number of regular expression substitutions (> 100) to a relatively large number of input data lines (> 10_000_000)?

In a recent project at $work, I wrote a script to generate a report of logged problem occurrences. In this process, I have to simplify the data by removing variations that are "noise" relative to the issues I am looking at (such as a process ID, an amount of free memory when a memory use threshold is crossed, or a part of a message with more detail than needed in this report). Once I've broken the record into a few basic parts, I currently have a list of 100+ regexen, replacement strings, and order of application to use (currently stored in a DB table), and a simple for loop to apply them to each record: 

  foreach my $regex (@conversions) {
    if ( $entry{$k} =~ s/$regex->{from}/$regex->{to}/g ) {
      $regex->{count}++;  
      # Count of applications used to determine if 
      # a particular substitution is warranted.
    }
  }

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I have the nagging feeling, however, that there is a more efficient way of dealing with this. (Also, this processing takes up the largest percentage of the processing time in the script, which often takes hours to run.) Any thoughts/suggestions?

Thank you for your time and attention, and any direction you may provide.

In reply to Recommendations for efficient data reduction/substitution application by atcroft

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