The bind_columns () method is actually faster. It matters when your streams are big

my $csv = Text::CSV->new ({
    auto_diag          => 1,
    binary             => 1,
    allow_loose_quotes => 1,
    escape_char        => "\\",
    });

# Header is 'TRI,Release#,ChemName,RegNum,Year,Pounds,Grams'
my %value;
$csv->bind_columns (\@value{@{$csv->getline ($release_fh)}});
while ($csv->getline_hr ($release_fh)) {
    {   no warnings "numeric";
        $value{Pounds} == 0.0 && $value->{Grams} == 0.0 and
            warn "Release $value->{'Release#'} is weightless\n";
        }

    print $value{"TRI"},
          $value{"Release#"},
          $value{"ChemName"},
          $value{"RegNum"},
          $value{"Year"},
          $value{"Pounds"},
          $value{"Grams"};
    }

[download]

YMMV, bench to check if it also validates for your set of data. My speed comparison looks like this. In that image, the lower the line, the faster, so Text::CSV_XS with bindcolumns () (labeled "xs bndc") is the fastest on all sizes and the pure perl Text::CSV_PP counterpart with bindcolumns () (labeled "pp bndc") is the slowest, as it has the most overhead in pure perl. If you only look at the differences in the XS implementation, look at this graph.

Update 1: removed the erroneous call to column_names () as spotted by jim.

Update 2: New graphs: XS + PP and XS only


Enjoy, Have FUN! H.Merijn

In reply to Re^5: problems parsing CSV by Tux
in thread problems parsing CSV by helenwoodson

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