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Paketbeschreibung


Paketnamelibdbix-fulltextsearch-perl
BeschreibungIndexing documents with MySQL as storage
Archiv/RepositoryOffizielles Ubuntu Archiv lucid (universe)
Version0.73-10
Sektionuniverse/perl
Prioritätoptional
Installierte Größe200 Byte
Hängt ab vonlibdbd-mysql-perl, libparse-recdescent-perl, libwww-perl, perl (>= 5.6.0-16)
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PaketbetreuerUbuntu MOTU Developers
Quelle
Paketgröße52962 Byte
Prüfsumme MD5dde56afd7852bb7890bffeb2c1bffe03
Prüfsumme SHA19a468baf6951314ba10b661437a60c8ef3f11814
Prüfsumme SHA2567e676595a640fb2184fc124850fb844910336fd45d4933ba5137bd8be811347f
Link zum Herunterladenlibdbix-fulltextsearch-perl_0.73-10_all.deb
Ausführliche BeschreibungDBIx::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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