DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Newsletter
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • Building Reliable Async Processing Pipelines Using Temporal
  • MuleSoft IDP: Enhancing Efficiency and Accuracy in Data Extraction
  • Exactly-Once Processing: Myth vs Reality
  • Enhancing SQL Server Performance with Query Store and Intelligent Query Processing

Trending

  • Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It
  • Apache Phoenix: Global Secondary Indexes With Tunable Consistency
  • OwlVigil Open-Sources Its Go SDK for Enterprise AI
  • Running TypeSafe AI's Jev Inside Neo4j for Confidence-Aware Sentiment Decisions

Draft This article hasn't been published, so readers can't see it.

In moderation This article is waiting for review, so readers can't see it yet.

Deleted This article has been deleted, so readers can't see it.

  1. DZone
  2. Coding
  3. Languages
  4. Perl List Processing Is for Hashes, Too

Perl List Processing Is for Hashes, Too

Perl’s list-processing prowess isn’t just for arrays. Hashes, or key-value pairs, can be sliced and diced through built-in and extended functions.

By 
Mark Gardner
DZone Core CORE ·
Feb. 10, 22 · Tutorial
Post on X (opens in a new tab) Share on LinkedIn (opens in a new tab)
2.5K Views

Join the DZone community Save articles, join the discussion, and download Refcards and Trend Reports with a free account.

Join for free Already a member? Log in

This month I started a new job at Alert Logic, a cybersecurity provider with Perl (among many other things) at its beating heart. I’ve been learning a lot, and part of the process has been understanding the APIs in the codebase. To that end, I’ve been writing small test scripts to tease apart data structures, using Perl array-processing, list-processing, and hash — i.e. associative array — processing functions.

I’ve covered map, grep, and friends a couple of times before. Most recently, I described using List::Util’s any function to check if a condition is true for any item in a list. In the simplest case, you can use it to check to see if a given value is in the list at all:

Perl
 
use feature 'say';
use List::Util 'any';
my @colors =
  qw(red orange yellow green blue indigo violet);
say 'matched' if any { /^red$/ } @colors;

However, if you’re going to be doing this a lot with arbitrary strings, Perl FAQ section 4 advises turning the array into the keys of a hash and then checking for membership there. For example, here’s a simple script to check if the colors input (either from the keyboard or from files passed as arguments) are in the rainbow:

Perl
 
#!/usr/bin/env perl

use v5.22; # introduced <<>> for safe opening of arguments
use warnings;
 
my %in_colors = map {$_ => 1}
  qw(red orange yellow green blue indigo violet);

while (<<>>) {
  chomp;
  say "$_ is in the rainbow" if $in_colors{$_};
}

List::Util has a bunch of functions for processing lists of pairs that I’ve found useful when pawing through hashes. pairgrep, for example, acts just like grep but instead assigns $a and $b to each key and value passed in and returns the resulting pairs that match. I’ve used it as a quick way to search for hash entries matching certain value conditions:

Perl
 
use List::Util 'pairgrep';
my %numbers = (zero => 0, one => 1, two => 2, three => 3);
my %odds = pairgrep {$b % 2} %numbers;

Sure, you could do this by invoking a mix of plain grep, keys, and a hash slice, but it’s noisier and more repetitive:

Perl
 
use v5.20; # for key/value hash slice 
my %odds = %numbers{grep {$numbers{$_} % 2} keys %numbers};

pairgrep’s compiled C-based XS code can also be faster, as evidenced by this Benchmark script that works through a hash made of the Unix words file (479,828 entries on my machine):

Perl
 
#!/usr/bin/env perl

use v5.20;
use warnings;
use List::Util 'pairgrep';
use Benchmark 'cmpthese';

my (%words, $count);
open my $fh, '<', '/usr/share/dict/words'
  or die "can't open words: $!";
while (<$fh>) {
  chomp;
  $words{$_} = $count++;
}
close $fh;

cmpthese(100, {
  grep => sub {
    my %odds = %words{grep {$words{$_} % 2} keys %words};
  },
  pairgrep => sub {
    my %odds = pairgrep {$b % 2} %words;
  },
} );

Benchmark output:

 
           Rate     grep pairgrep
grep     1.47/s       --     -20%
pairgrep 1.84/s      25%       --

In general, I urge you to work through the Perl documentation's tutorials on references, lists of lists, the data structures cookbook, and the FAQs on array and hash manipulation. Then dip into the various list-processing modules (especially the included List::Util and CPAN’s List::SomeUtils) for ready-made functions for common operations. You’ll find a wealth of techniques for creating, managing, and processing the data structures that your programs need.

Perl (programming language) Processing

Published at DZone with permission of Mark Gardner. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Building Reliable Async Processing Pipelines Using Temporal
  • MuleSoft IDP: Enhancing Efficiency and Accuracy in Data Extraction
  • Exactly-Once Processing: Myth vs Reality
  • Enhancing SQL Server Performance with Query Store and Intelligent Query Processing

Partner Resources

×

Comments

Loading comments

The comments didn't load

Please try again in a moment.

Likes

Loading

The next likes didn't load. Please try again.

The likes didn't load

Please try again in a moment.

See who liked this

Log in or join DZone for free to see who liked this article.

Log in Join for free
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook