Benchmarking some ORLite variants

It would be nice if I could get my ORLite performance boost without really changing the (undocumented) API. So I got one more idea: Do the slicing in the ORLite generated code. It’s available in a new branch on GitHub.

To benchmark all three solutions I used a variant of CPANDB::Dependecy::csv():

sub csv {
    my $class = shift;
    for my $edge ( $class->select ) {
        my $foo = $edge->distribution . "\t" . $edge->dependency . "\n";
    }
}

My::Plain->begin;
My::Unsliced->begin;
My::SelfSlice->begin;

cmpthese( -30, {
    plain => sub { csv("My::Plain::Dependency") },
    unsliced => sub { csv("My::Unsliced::Dependency") },
    selfslice => sub { csv("My::SelfSlice::Dependency") },
});

Unfortunately it seems like both having DBI doing the slicing and doing it myself costs roughly the same:

            Rate selfslice     plain  unsliced
selfslice 1.61/s        --       -1%      -41%
plain     1.64/s        2%        --      -40%
unsliced  2.71/s       68%       66%        --

So I probably end up making some sort of ORLite subclass as Adam Kennedy suggested in a comment.