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parsing - Fastest CSV Parser in Perl

I am creating a subroutine that:

(1) Parses a CSV file;

(2) And checks if all the rows in that file have the expected number of columns. It croaks if the number of columns is invalid.

When the number of rows is ranging from thousands to millions, what do you think is the most efficient way to do it?

Right now, I'm trying out these implementations.

(1) Basic file parser

open my $in_fh, '<', $file or 
    croak "Cannot open '$file': $OS_ERROR";                                                            
                                                                                                      
my $row_no = 0;                                                                                           
while ( my $row = <$in_fh> ) {                                                                            
    my @values = split (q{,}, $row);                                                                      
    ++$row_no;                                                                                            
    if ( scalar @values < $min_cols_no ) {                                                                
        croak "Invalid file format. File '$file' does not have '$min_cols_no' columns in line '$row_no'.";
    }                                                                                                     
}                                                                                                         
                                                                                                      
close $in_fh                                                                                              
    or croak "Cannot close '$file': $OS_ERROR";                                                           

(2) Using Text::CSV_XS (bind_columns and csv->getline)

my $csv = Text::CSV_XS->new () or                                                                         
   croak "Cannot use CSV: " . Text::CSV_XS->error_diag();                                                 
open my $in_fh, '<', $file or                                                                             
   croak "Cannot open '$file': $OS_ERROR";                                                                
                                                                                                          
 my $row_no = 1;                                                                                          
 my @cols = @{$csv->getline($in_fh)};                                                                     
 my $row = {};                                                                                            
 $csv->bind_columns (@{$row}{@cols});                                                                    
 while ($csv->getline ($in_fh)) {                                                                         
    ++$row_no;                                                                                            
    if ( scalar keys %$row < $min_cols_no ) {                                                             
        croak "Invalid file format. File '$file' does not have '$min_cols_no' columns in line '$row_no'.";
    }                                                                                                     
}                                                                                                         
                                                                                                          
$csv->eof or $csv->error_diag();                                                                          
close $in_fh or
    croak "Cannot close '$file': $OS_ERROR";                                                           

(3) Using Text::CSV_XS (csv->parse)

my $csv = Text::CSV_XS->new() or                                                                         
   croak "Cannot use CSV: " . Text::CSV_XS->error_diag();                                                
 open my $in_fh, '<', $file or                                                                           
   croak "Cannot open '$file': $OS_ERROR";                                                               
                                                                                                         
 my $row_no = 0;                                                                                         
 while ( <$in_fh> ) {                                                                                    
     $csv->parse($_);                                                                                    
     ++$row_no;                                                                                          
     if ( scalar $csv->fields < $min_cols_no ) {                                                         
       croak "Invalid file format. File '$file' does not have '$min_cols_no' columns in line '$row_no'.";
     }                                                                                                   
}                                                                                                        
                                                                                                         
$csv->eof or $csv->error_diag();                                                                         
close $in_fh or 
    croak "Cannot close '$file': $OS_ERROR";                                                          

(4) Using Parse::CSV

use Parse::CSV;                                                                                           
my $simple = Parse::CSV->new(                                                                             
    file => $file                                                                                         
);                                                                                                        
                                                                                                          
my $row_no = 0;                                                                                           
while ( my $array_ref = $simple->fetch ) {                                                                
    ++$row_no;                                                                                            
    if ( scalar @$array_ref < $min_cols_no ) {                                                            
        croak "Invalid file format. File '$file' does not have '$min_cols_no' columns in line '$row_no'.";
    }                                                                                                     
}                                                                                                         

I benchmark-ed them using the Benchmark module.

use Benchmark qw(timeit timestr timediff :hireswallclock);

And these are the numbers (in seconds) that I got:

1,000 lines of file:

Implementation 1: 0.0016

Implementation 2: 0.0025

Implementation 3: 0.0050

Implementation 4: 0.0097

10,000 lines of file:

Implementation 1: 0.0204

Implementation 2: 0.0244

Implementation 3: 0.0523

Implementation 4: 0.1050

1,500,000 lines of file:

Implementation 1: 1.8697

Implementation 2: 3.1913

Implementation 3: 7.8475

Implementation 4: 15.6274

Given these numbers, I would conclude that the simple parser is the fastest but from what I have read from different sources, Text::CSV_XS should be the fastest.

Will someone enlighten me on this? Is there something wrong with how I used the modules? Thanks a lot for your help!

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1 Answer

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There are CSV files

header1,header2,header3
value1,value2,value3

and then there are CSV files.

header1,"This, as they say, is header2","And header3
even contains a newline!"
value1,"value2, 2nd in a series of 3 values",value3

Text::CSV and its ilk have been painstakingly developed and tested to deal with the second kind. If you are confident that your input does and always will conform to the simple CSV specification, then it is very likely that you can build a parser that will outperform Text::CSV.


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