libdbix-fulltextsearch-perl 0.73-12 source package in Ubuntu

Changelog

libdbix-fulltextsearch-perl (0.73-12) unstable; urgency=medium

  * Move maintenance to pkg-perl team
  * Update Vcs-* headers
  * Update debhelper compat level to 10
  * Update Standards-Version (no changes)
  * Update Homepage to metacpan

 -- Dominic Hargreaves <email address hidden>  Mon, 02 Apr 2018 16:35:42 +0100

Upload details

Uploaded by:
Debian Perl Group
Uploaded to:
Sid
Original maintainer:
Debian Perl Group
Architectures:
all
Section:
perl
Urgency:
Medium Urgency

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Builds

Cosmic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
libdbix-fulltextsearch-perl_0.73-12.dsc 2.1 KiB 8379939330c9af3380c73b98008fde67bc7804fded09b3d020e7ea18fea04e0b
libdbix-fulltextsearch-perl_0.73.orig.tar.gz 80.0 KiB 813e2a0330cab09061ec1f65e7cfb88c6b0c041cb7b91a8bf25f1218f7ce0920
libdbix-fulltextsearch-perl_0.73-12.debian.tar.xz 3.5 KiB dd0dcf4a0ec2b0ebd549f873724d5ebbdd912ee9eaa975a14876532c4091583d

Available diffs

No changes file available.

Binary packages built by this source

libdbix-fulltextsearch-perl: Indexing documents with MySQL as storage

 DBIx::FullTextSearch is a flexible solution for indexing contents of documents.
 It uses the MySQL database to store the information about words and
 documents and provides Perl interface for indexing new documents,
 making changes and searching for matches. For DBIx::FullTextSearch, a document
 is nearly anything -- Perl scalar, file, Web document, database field.
 .
 The basic style of interface is shown above. What you need is a MySQL
 database and a DBI with DBD::mysql. Then you create a DBIx::FullTextSearch
 index -- a set of tables that maintain all necessary information. Once created
 it can be accessed many times, either for updating the index (adding
 documents) or searching.
 .
 DBIx::FullTextSearch uses one basic table to store parameters of the index.
 Second table is used to store the actual information about documents and words,
 and depending on the type of the index (specified during index creation)
 there may be more tables to store additional information (like
 conversion from external string names (eg. URL's) to internal numeric
 form). For a user, these internal thingies and internal behaviour of the
 index are not important. The important part is the API, the methods to
 index document and ask questions about words in documents. However,
 certain understanding of how it all works may be useful when you are
 deciding if this module is for you and what type of index will best
 suit your needs.