NAME

App::BloomUtils - Utilities related to bloom filters

VERSION

This document describes version 0.001 of App::BloomUtils (from Perl distribution App-BloomUtils), released on 2018-03-22.

DESCRIPTION

This distributions provides the following command-line utilities:

FUNCTIONS

bloom_filter_calculator

Usage:

bloom_filter_calculator(%args) -> [status, msg, result, meta]

Help calculate num_bits (n) and num_hashes (k).

Bloom filter is setup using two parameters: num_bits (m) which is the size of the bloom filter (in bits) and num_hashes (k) which is the number of hash functions to use which will determine the write and lookup speed.

Some rules of thumb:

  • One byte per item in the input set gives about a 2% false positive rate. So if you expect two have 1024 elements, create a 1KB bloom filter with about 2% false positive rate. For other false positive rates:

    1% - 9.6 bits per item 0.1% - 14.4 bits per item 0.01% - 19.2 bits per item

  • Optimal number of hash functions is 0.7 times number of bits per item.

  • What is an acceptable false positive rate? This depends on your needs.

Ref: https://corte.si/posts/code/bloom-filter-rules-of-thumb/index.html

This function is not exported.

Arguments ('*' denotes required arguments):

  • false_positive_rate => num (default: 0.02)

  • num_hashes => num

  • num_hashes_to_bits_per_item_ratio => num (default: 0.7)

    0.7 (the default) is optimal.

  • num_items* => posint

    Expected number of items to add to bloom filter.

Returns an enveloped result (an array).

First element (status) is an integer containing HTTP status code (200 means OK, 4xx caller error, 5xx function error). Second element (msg) is a string containing error message, or 'OK' if status is 200. Third element (result) is optional, the actual result. Fourth element (meta) is called result metadata and is optional, a hash that contains extra information.

Return value: (any)

check_with_bloom_filter

Usage:

check_with_bloom_filter(%args) -> [status, msg, result, meta]

Check with bloom filter.

You supply the bloom filter in STDIN, items to check as arguments, and this utility will print lines containing 0 or 1 depending on whether items in the arguments are tested to be, respectively, not in the set (0) or probably in the set (1).

This function is not exported.

Arguments ('*' denotes required arguments):

  • items* => array[str]

    Items to check.

Returns an enveloped result (an array).

First element (status) is an integer containing HTTP status code (200 means OK, 4xx caller error, 5xx function error). Second element (msg) is a string containing error message, or 'OK' if status is 200. Third element (result) is optional, the actual result. Fourth element (meta) is called result metadata and is optional, a hash that contains extra information.

Return value: (any)

gen_bloom_filter

Usage:

gen_bloom_filter(%args) -> [status, msg, result, meta]

Generate bloom filter.

You supply lines of text from STDIN and it will output the bloom filter bits on STDOUT. You can also customize num_bits (m) and num_hashes (k). Some rules of thumb to remember:

  • One byte per item in the input set gives about a 2% false positive rate. So if you expect two have 1024 elements, create a 1KB bloom filter with about 2% false positive rate. For other false positive rates:

    1% - 9.6 bits per item 0.1% - 14.4 bits per item 0.01% - 19.2 bits per item

  • Optimal number of hash functions is 0.7 times number of bits per item.

  • What is an acceptable false positive rate? This depends on your needs.

Ref: https://corte.si/posts/code/bloom-filter-rules-of-thumb/index.html

This function is not exported.

Arguments ('*' denotes required arguments):

  • num_bits => num (default: 80000)

    The default is 80000 (generates a ~10KB bloom filter). If you supply 10,000 items (meaning 1 byte per 1 item) then the false positive rate will be ~2%. If you supply fewer items the false positive rate is smaller and if you supply more than 10,000 items the false positive rate will be higher.

  • num_hashes => num (default: 5.7)

Returns an enveloped result (an array).

First element (status) is an integer containing HTTP status code (200 means OK, 4xx caller error, 5xx function error). Second element (msg) is a string containing error message, or 'OK' if status is 200. Third element (result) is optional, the actual result. Fourth element (meta) is called result metadata and is optional, a hash that contains extra information.

Return value: (any)

HOMEPAGE

Please visit the project's homepage at https://metacpan.org/release/App-BloomUtils.

SOURCE

Source repository is at https://github.com/perlancar/perl-App-BloomUtils.

BUGS

Please report any bugs or feature requests on the bugtracker website https://rt.cpan.org/Public/Dist/Display.html?Name=App-BloomUtils

When submitting a bug or request, please include a test-file or a patch to an existing test-file that illustrates the bug or desired feature.

SEE ALSO

bloom-filter-calculator.

AUTHOR

perlancar <perlancar@cpan.org>

COPYRIGHT AND LICENSE

This software is copyright (c) 2018 by perlancar@cpan.org.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.