Paketname | libdbix-fulltextsearch-perl |
Beschreibung | Indexing documents with MySQL as storage |
Archiv/Repository | Offizielles Debian Archiv squeeze (main) |
Version | 0.73-10 |
Sektion | perl |
Priorität | optional |
Installierte Größe | 200 Byte |
Hängt ab von | libdbd-mysql-perl, libparse-recdescent-perl, libwww-perl, perl (>= 5.6.0-16) |
Empfohlene Pakete | |
Paketbetreuer | Dominic Hargreaves |
Quelle | |
Paketgröße | 52054 Byte |
Prüfsumme MD5 | 028c0ec882eae00377d1fba3558e78ee |
Prüfsumme SHA1 | a0c17009749615474b7a0b6d1fa30471e5ef3d62 |
Prüfsumme SHA256 | 375b26a33c871091d32fbebb0ea56ef4d5a3fdad0a050697f6adcff6e0f56240 |
Link zum Herunterladen | libdbix-fulltextsearch-perl_0.73-10_all.deb |
Ausführliche Beschreibung | 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.
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