monks 

opendir ( SSPR , "/apps/inst1/metrica/TechnologyPacks/ON-SITE/summarys
+pr/") or die "$!";
while ( defined ( $file_name = readdir(SSPR) ) ) {
    next if ( -d $file_name ); # removing . and ..
    open ( FH , "/apps/inst1/metrica/TechnologyPacks/ON-SITE/summarysp
+r/$file_name" ) or die "$!";
    $sspr_hash{$file_name} = [];
    @{$sspr_hash{$file_name}} = <FH>;
    map { $_ =~ s/[\n\r]//g } @{$sspr_hash{$file_name}};
}

[download]
I am using the above code to read all the files from a directory and storing it in a hashformat like, Key is the "filename" contents are its values. but it has more than 200 files each file contains more thann 2000 lines.

The hash using the above method is used as follows 
    # this loop is to analysed the schema from summary spr files
    foreach $file_name ( keys %sspr_hash ) {
        foreach $line ( @{$sspr_hash{$file_name}} ) {
            if ( grep ( /$old_schema/i, $line ) ) {
                print "$old_schema|$new_schema_str|$found_status|$migr
+atestr|$rename_str|$file_name\n";
            }
        }
    }

[download]
In the above code each filename is read in a loop and the lines are read using another inner loop. The performance of the code is pretty slow. How can I improve the efficiency and increase the performance of code. please response me with your tips based on your experience you have met earlier with this kind of code.

In reply to Improving the efficiency of code when processed against large amount of data by greatshots

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