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Lucy::Docs::Cookbook::CustomQuery(3pm) - phpMan
Lucy::Docs::Cookbook::CustomQueUser)Contributed Perl DocumentLucy::Docs::Cookbook::CustomQuery(3)
NAME
Lucy::Docs::Cookbook::CustomQuery - Sample subclass of Query.
ABSTRACT
Explore Apache Lucy's support for custom query types by creating a "PrefixQuery" class to
handle trailing wildcards.
my $prefix_query = PrefixQuery->new(
field => 'content',
query_string => 'foo*',
);
my $hits = $searcher->hits( query => $prefix_query );
...
Query, Compiler, and Matcher
To add support for a new query type, we need three classes: a Query, a Compiler, and a
Matcher.
· PrefixQuery - a subclass of Lucy::Search::Query, and the only class that client code
will deal with directly.
· PrefixCompiler - a subclass of Lucy::Search::Compiler, whose primary role is to
compile a PrefixQuery to a PrefixMatcher.
· PrefixMatcher - a subclass of Lucy::Search::Matcher, which does the heavy lifting: it
applies the query to individual documents and assigns a score to each match.
The PrefixQuery class on its own isn't enough because a Query object's role is limited to
expressing an abstract specification for the search. A Query is basically nothing but
metadata; execution is left to the Query's companion Compiler and Matcher.
Here's a simplified sketch illustrating how a Searcher's hits() method ties together the
three classes.
sub hits {
my ( $self, $query ) = @_;
my $compiler = $query->make_compiler(
searcher => $self,
boost => $query->get_boost,
);
my $matcher = $compiler->make_matcher(
reader => $self->get_reader,
need_score => 1,
);
my @hits = $matcher->capture_hits;
return \@hits;
}
PrefixQuery
Our PrefixQuery class will have two attributes: a query string and a field name.
package PrefixQuery;
use base qw( Lucy::Search::Query );
use Carp;
use Scalar::Util qw( blessed );
# Inside-out member vars and hand-rolled accessors.
my %query_string;
my %field;
sub get_query_string { my $self = shift; return $query_string{$$self} }
sub get_field { my $self = shift; return $field{$$self} }
PrefixQuery's constructor collects and validates the attributes.
sub new {
my ( $class, %args ) = @_;
my $query_string = delete $args{query_string};
my $field = delete $args{field};
my $self = $class->SUPER::new(%args);
confess("'query_string' param is required")
unless defined $query_string;
confess("Invalid query_string: '$query_string'")
unless $query_string =~ /\*\s*$/;
confess("'field' param is required")
unless defined $field;
$query_string{$$self} = $query_string;
$field{$$self} = $field;
return $self;
}
Since this is an inside-out class, we'll need a destructor:
sub DESTROY {
my $self = shift;
delete $query_string{$$self};
delete $field{$$self};
$self->SUPER::DESTROY;
}
The equals() method determines whether two Queries are logically equivalent:
sub equals {
my ( $self, $other ) = @_;
return 0 unless blessed($other);
return 0 unless $other->isa("PrefixQuery");
return 0 unless $field{$$self} eq $field{$$other};
return 0 unless $query_string{$$self} eq $query_string{$$other};
return 1;
}
The last thing we'll need is a make_compiler() factory method which kicks out a subclass
of Compiler.
sub make_compiler {
my ( $self, %args ) = @_;
my $subordinate = delete $args{subordinate};
my $compiler = PrefixCompiler->new( %args, parent => $self );
$compiler->normalize unless $subordinate;
return $compiler;
}
PrefixCompiler
PrefixQuery's make_compiler() method will be called internally at search-time by objects
which subclass Lucy::Search::Searcher -- such as IndexSearchers.
A Searcher is associated with a particular collection of documents. These documents may
all reside in one index, as with IndexSearcher, or they may be spread out across multiple
indexes on one or more machines, as with LucyX::Remote::ClusterSearcher.
Searcher objects have access to certain statistical information about the collections they
represent; for instance, a Searcher can tell you how many documents are in the
collection...
my $maximum_number_of_docs_in_collection = $searcher->doc_max;
... or how many documents a specific term appears in:
my $term_appears_in_this_many_docs = $searcher->doc_freq(
field => 'content',
term => 'foo',
);
Such information can be used by sophisticated Compiler implementations to assign more or
less heft to individual queries or sub-queries. However, we're not going to bother with
weighting for this demo; we'll just assign a fixed score of 1.0 to each matching document.
We don't need to write a constructor, as it will suffice to inherit new() from
Lucy::Search::Compiler. The only method we need to implement for PrefixCompiler is
make_matcher().
package PrefixCompiler;
use base qw( Lucy::Search::Compiler );
sub make_matcher {
my ( $self, %args ) = @_;
my $seg_reader = $args{reader};
# Retrieve low-level components LexiconReader and PostingListReader.
my $lex_reader
= $seg_reader->obtain("Lucy::Index::LexiconReader");
my $plist_reader
= $seg_reader->obtain("Lucy::Index::PostingListReader");
# Acquire a Lexicon and seek it to our query string.
my $substring = $self->get_parent->get_query_string;
$substring =~ s/\*.\s*$//;
my $field = $self->get_parent->get_field;
my $lexicon = $lex_reader->lexicon( field => $field );
return unless $lexicon;
$lexicon->seek($substring);
# Accumulate PostingLists for each matching term.
my @posting_lists;
while ( defined( my $term = $lexicon->get_term ) ) {
last unless $term =~ /^\Q$substring/;
my $posting_list = $plist_reader->posting_list(
field => $field,
term => $term,
);
if ($posting_list) {
push @posting_lists, $posting_list;
}
last unless $lexicon->next;
}
return unless @posting_lists;
return PrefixMatcher->new( posting_lists => \@posting_lists );
}
PrefixCompiler gets access to a SegReader object when make_matcher() gets called. From
the SegReader and its sub-components LexiconReader and PostingListReader, we acquire a
Lexicon, scan through the Lexicon's unique terms, and acquire a PostingList for each term
that matches our prefix.
Each of these PostingList objects represents a set of documents which match the query.
PrefixMatcher
The Matcher subclass is the most involved.
package PrefixMatcher;
use base qw( Lucy::Search::Matcher );
# Inside-out member vars.
my %doc_ids;
my %tick;
sub new {
my ( $class, %args ) = @_;
my $posting_lists = delete $args{posting_lists};
my $self = $class->SUPER::new(%args);
# Cheesy but simple way of interleaving PostingList doc sets.
my %all_doc_ids;
for my $posting_list (@$posting_lists) {
while ( my $doc_id = $posting_list->next ) {
$all_doc_ids{$doc_id} = undef;
}
}
my @doc_ids = sort { $a <=> $b } keys %all_doc_ids;
$doc_ids{$$self} = \@doc_ids;
# Track our position within the array of doc ids.
$tick{$$self} = -1;
return $self;
}
sub DESTROY {
my $self = shift;
delete $doc_ids{$$self};
delete $tick{$$self};
$self->SUPER::DESTROY;
}
The doc ids must be in order, or some will be ignored; hence the "sort" above.
In addition to the constructor and destructor, there are three methods that must be
overridden.
next() advances the Matcher to the next valid matching doc.
sub next {
my $self = shift;
my $doc_ids = $doc_ids{$$self};
my $tick = ++$tick{$$self};
return 0 if $tick >= scalar @$doc_ids;
return $doc_ids->[$tick];
}
get_doc_id() returns the current document id, or 0 if the Matcher is exhausted. (Document
numbers start at 1, so 0 is a sentinel.)
sub get_doc_id {
my $self = shift;
my $tick = $tick{$$self};
my $doc_ids = $doc_ids{$$self};
return $tick < scalar @$doc_ids ? $doc_ids->[$tick] : 0;
}
score() conveys the relevance score of the current match. We'll just return a fixed score
of 1.0:
sub score { 1.0 }
Usage
To get a basic feel for PrefixQuery, insert the FlatQueryParser module described in
Lucy::Docs::Cookbook::CustomQueryParser (which supports PrefixQuery) into the search.cgi
sample app.
my $parser = FlatQueryParser->new( schema => $searcher->get_schema );
my $query = $parser->parse($q);
If you're planning on using PrefixQuery in earnest, though, you may want to change up
analyzers to avoid stemming, because stemming -- another approach to prefix conflation --
is not perfectly compatible with prefix searches.
# Polyanalyzer with no SnowballStemmer.
my $analyzer = Lucy::Analysis::PolyAnalyzer->new(
analyzers => [
Lucy::Analysis::StandardTokenizer->new,
Lucy::Analysis::Normalizer->new,
],
);
perl v5.20.2 2015-12-01 Lucy::Docs::Cookbook::CustomQuery(3)
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