in reply to Re: Regex matching on anywhere but the beginning or end of a line
in thread Regex matching on anywhere but the beginning or end of a line

Goodie. A benchmark without the code. How utterly pointless. Without knowing the code, the size of the data, and the number of double quotes in it, your benchmark is nothing more than a jumble of numbers.

It carries no meaning.

Abigail

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Re: Re: Regex matching on anywhere but the beginning or end of a line
by xmath (Hermit) on Feb 23, 2003 at 09:53 UTC
    Ehm, I benchmarked the code I gave on the example data he gave ofcourse..
    my $t = q["string (12" or 1 foot or 1') into 6" MySQL varchar"]; $t =~ s/(?<=.)"(?=.)/""/g;
    versus
    my $t = q["string (12" or 1 foot or 1') into 6" MySQL varchar"]; substr($t, 1, -1) =~ s/"/""/g;
    And the number of iterations is shown in the benchmark output (2**20 = 1048576)
Re: Re: Regex matching - Actual code and benchmarks - on anywhere but the beginning or end of a line
by Dr.dos (Initiate) on Feb 25, 2003 at 01:49 UTC
    Well, all of the discussion about benchmarks set me to wondering which was the most efficient. So here are the actual results. Bear in mind that the benchmarks were only repeated twice and it is a working server. The times where obtained by...
    $ticks = time(); .... $ticks = time() - $ticks; print "$count Records updated in $ticks seconds\n";
    The program is moving data from one MySQL database to another. The subroutine gets passed a hash_ref to a map and a hash_ref from the source database as returned by $query->fetchrow_hashref. The map looks like...
    my(%map) = qq( 'AMNT_PAID', '0.0', 'AMOUNT', '{PurchAmt}', 'DELIVERY_NOTE', '"{Delivery}"', 'EXPORTED', 'IF({Exported}, "Y", "N")', 'FUNDS', 'IF("{CompanyID}"="BCU", "USD" +, "CAD")');
    The makemap sub returns a string that can be used in the SET portion of an INSERT sql statement. The code snippet follows.
    # Create a set list from the data and the data map sub makemap { my($map, $r) = @_; my($key, $result, $t, %h, $ndx); %h=%$r; $result=""; foreach $key (sort(keys(%$map))) { #print "$key:\t$map->{$key}\n"; $t = $map->{$key}; # substitute the actual value for the placeholder fieldname $t =~ s/(\{\S+\})/defined(eval("\$h$1")) ? eval("\$h$1") : "NULL +"/eg; # replace any double quotes with escaped doubles if ((substr($t,0,1) eq '"') && (length($t) > 2)) { # best 196 sec # $ndx = 1; # while( ($ndx = index($t, '"', $ndx)) != -1 and ++$ndx < len +gth($t)) { # substr($t, $ndx++, 0, '"'); # } # original 198 sec # for ($ndx=1; $ndx < length($t)-1; $ndx++) { # if (substr($t,$ndx,1) eq '"') { # substr($t,$ndx,1) = '""'; # $ndx++; # } # } # substring 204 sec # substr($t, 1, -1) =~ s/"/""/g; # zero width assertion 201 sec $t =~ s/(?<=.)"(?=.)/""/g; } #print "$t\n"; $result .= qq($key=$t ,); } chop($result); # remove trailing , return($result); }
    Averaged over two runs each with 17400 records with 750 "pathological" records (with embedded double quotes)the results seem to indicate the iterative method is faster than the regex way but I like the elegance of the regular expression.
      Is that really a qq when seeding the map? That doesn't make much sense.

      Anyway, given that there's only 4% difference between the fastest and slowest solution, I'd say that it hardly matters. It's probably not the bottleneck in your program anyway. 4% means that on a different machine, or with a different set of data, the order from fast to slow could very well be different.

      Abigail