plucene::index::term(3pm) [debian man page]

Plucene::Index::Term(3pm)				User Contributed Perl Documentation				 Plucene::Index::Term(3pm)

NAME

       Plucene::Index::Term - a word from text

SYNOPSIS

	       my $term = Plucene::Index::Term->new({
			       field => $field_name,
			       text  => $text,
	       });

	       # with two Plucene::Index::Term objects you can do:

	       if ($term1->eq($term2)) { ... }

	       # etc

DESCRIPTION

       A Term represents a word from text, and is the unit of search.  It is composed of two elements, the text of the word, as a string, and the
       name of the field that the text occured in, as a string.

       Note that terms may represent more than words from text fields, but also things like dates, email addresses, urls, etc.

METHODS

   eq / ne / lt / gt / ge / le
       Exactly what you would think they are.

perl v5.12.4							    2011-08-14						 Plucene::Index::Term(3pm)

Plucene::Index::SegmentReader(3pm)			User Contributed Perl Documentation			Plucene::Index::SegmentReader(3pm)

NAME

       Plucene::Index::SegmentReader - the Segment reader

SYNOPSIS

	       my $seg_reader =
		 Plucene::Index::SegmentReader->new( Plucene::Index::SegmentInfo $si);

	       my @files = $seg_reader->files;
	       my @terms = $seg_reader->terms;
	       my $doc = $seg_reader->document($id);
	       my $doc_freq = $seg_reader->doc_freq($term);
	       my $max_doc = $seg_reader->max_doc;
	       my $norms = $seg_reader->norms($field, $offset);

	       my Plucene::Index::SegmentTermDocs $docs
		       = $seg_reader->term_docs($term);

	       my Plucene::Index::SegmentTermPositions $pos
		       = $seg_reader->term_positions($term);

	       my Plucene::Store::InputStream $stream
		       = $seg_reader->norm_stream($field);

	       if ($seg_reader->is_deleted($id)) {  .. }
	       if ($seg_reader->has_deletions(Plucene::Index::SegmentInfo $si))
		       {  ... }

DESCRIPTION

       The segment reader class.

METHODS

   new
	       my $seg_reader =
		 Plucene::Index::SegmentReader->new( Plucene::Index::SegmentInfo $si);

       This will create a new Plucene::Index::SegmentReader object.

   has_deletions
	       if ($seg_reader->has_deletions(Plucene::Index::SegmentInfo $si))
		       {  ... }

   files
	       my @files = $seg_reader->files;

   terms
	       my @terms = $seg_reader->terms;

   document
	       my $doc = $seg_reader->document($id);

   is_deleted
	       if ($seg_reader->is_deleted($id)) {  .. }

   term_docs
	       my Plucene::Index::SegmentTermDocs $docs
		       = $seg_reader->term_docs($term);

       This will return the Plucene::Index::SegmentTermDocs object for the given term.

   term_positions
	       my Plucene::Index::SegmentTermPositions $pos
		       = $seg_reader->term_positions($term);

       This will return the Plucene::Index::SegmentTermPositions object for the given term.

   doc_freq
	       my $doc_freq = $seg_reader->doc_freq($term);

       This returns the number of documents containing the passed term.

   num_docs
	       my $num_docs = $seg_reader->num_docs;

       This is the number of documents, excluding deleted ones.

   max_doc
	       my $max_doc = $seg_reader->max_doc;

   norms
	       my $norms = $seg_reader->norms($field, $offset);

       This returns the byte-encoded normalisation factor for the passed field. This is used by the search code to score documents.

       Note we are not using the 'offset' and 'bytes' arguments per the Java.  Instead, callers should use substr to put the result of "norms"
       into the appropriate place in a string.

   norm_stream
	       my Plucene::Store::InputStream $stream
		       = $seg_reader->norm_stream($field);

       This will return the Plucene::Store::InputStream for the passed field.

perl v5.12.4							    2011-08-14					Plucene::Index::SegmentReader(3pm)