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.\" Automatically generated by Pod::Man v1.37, Pod::Parser v1.32
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.\" ========================================================================
.\"
.IX Title "DBD::SQLite::Cookbook 3"
.TH DBD::SQLite::Cookbook 3 "2011-05-30" "perl v5.8.8" "User Contributed Perl Documentation"
.SH "NAME"
DBD::SQLite::Cookbook \- The DBD::SQLite Cookbook
.SH "DESCRIPTION"
.IX Header "DESCRIPTION"
This is the DBD::SQLite cookbook.
.PP
It is intended to provide a place to keep a variety of functions and
formals for use in callback APIs in DBD::SQLite.
.SH "AGGREGATE FUNCTIONS"
.IX Header "AGGREGATE FUNCTIONS"
.Sh "Variance"
.IX Subsection "Variance"
This is a simple aggregate function which returns a variance. It is
adapted from an example implementation in pysqlite.
.PP
.Vb 1
\&  package variance;
.Ve
.PP
.Vb 1
\&  sub new { bless [], shift; }
.Ve
.PP
.Vb 2
\&  sub step {
\&      my ( $self, $value ) = @_;
.Ve
.PP
.Vb 2
\&      push @$self, $value;
\&  }
.Ve
.PP
.Vb 2
\&  sub finalize {
\&      my $self = $_[0];
.Ve
.PP
.Vb 1
\&      my $n = @$self;
.Ve
.PP
.Vb 2
\&      # Variance is NULL unless there is more than one row
\&      return undef unless $n || $n == 1;
.Ve
.PP
.Vb 5
\&      my $mu = 0;
\&      foreach my $v ( @$self ) {
\&          $mu += $v;
\&      }
\&      $mu /= $n;
.Ve
.PP
.Vb 5
\&      my $sigma = 0;
\&      foreach my $v ( @$self ) {
\&          $sigma += ($x - $mu)**2;
\&      }
\&      $sigma = $sigma / ($n - 1);
.Ve
.PP
.Vb 2
\&      return $sigma;
\&  }
.Ve
.PP
.Vb 3
\&  # NOTE: If you use an older DBI (< 1.608),
\&  # use $dbh->func(..., "create_aggregate") instead.
\&  $dbh->sqlite_create_aggregate( "variance", 1, 'variance' );
.Ve
.PP
The function can then be used as:
.PP
.Vb 3
\&  SELECT group_name, variance(score)
\&  FROM results
\&  GROUP BY group_name;
.Ve
.Sh "Variance (Memory Efficient)"
.IX Subsection "Variance (Memory Efficient)"
A more efficient variance function, optimized for memory usage at the
expense of precision:
.PP
.Vb 1
\&  package variance2;
.Ve
.PP
.Vb 3
\&  my $sum   = 0;
\&  my $count = 0;
\&  my %hash;
.Ve
.PP
.Vb 1
\&  sub new { bless [], shift; }
.Ve
.PP
.Vb 2
\&  sub step {
\&      my ( $self, $value ) = @_;
.Ve
.PP
.Vb 11
\&      # by truncating and hashing, we can comsume many more data points
\&      $value = int($value); # change depending on need for precision
\&                            # use sprintf for arbitrary fp precision
\&      if (defined $hash{$value}) {
\&          $hash{$value}++;
\&      } else {
\&          $hash{$value} = 1;
\&      }
\&      $sum += $value;
\&      $count++;
\&  }
.Ve
.PP
.Vb 2
\&  sub finalize {
\&      my $self = $_[0];
.Ve
.PP
.Vb 2
\&      # Variance is NULL unless there is more than one row
\&      return undef unless $count > 1;
.Ve
.PP
.Vb 2
\&      # calculate avg
\&      my $mu = $sum / $count;
.Ve
.PP
.Vb 5
\&      my $sigma = 0;
\&      foreach my $h (keys %hash) {
\&          $sigma += (($h - $mu)**2) * $hash{$h};
\&      }
\&      $sigma = $sigma / ($count - 1);
.Ve
.PP
.Vb 2
\&      return $sigma;
\&  }
.Ve
.PP
The function can then be used as:
.PP
.Vb 3
\&  SELECT group_name, variance2(score)
\&  FROM results
\&  GROUP BY group_name;
.Ve
.Sh "Variance (Highly Scalable)"
.IX Subsection "Variance (Highly Scalable)"
A third variable implementation, designed for arbitrarily large data sets:
.PP
.Vb 1
\&  package variance;
.Ve
.PP
.Vb 3
\&  my $mu = 0;
\&  my $count = 0;
\&  my $S = 0
.Ve
.PP
.Vb 1
\&  sub new { bless [], shift; }
.Ve
.PP
.Vb 7
\&  sub step {
\&      my ( $self, $value ) = @_;
\&      $count++;
\&      $delta = $value - $mu;
\&      $mu = $mu + $delta/$count
\&      $S = $S + $delta*($value - $mu);
\&  }
.Ve
.PP
.Vb 4
\&  sub finalize {
\&      my $self = $_[0];
\&      return $S / ($count - 1);
\&  }
.Ve
.PP
The function can then be used as:
.PP
.Vb 3
\&  SELECT group_name, variance3(score)
\&  FROM results
\&  GROUP BY group_name;
.Ve
.SH "FTS3 fulltext indexing"
.IX Header "FTS3 fulltext indexing"
.Sh "Sparing database disk space"
.IX Subsection "Sparing database disk space"
As explained in <http://www.sqlite.org/fts3.html#section_6>, each
\&\s-1FTS3\s0 table \f(CW\*(C`\f(CIt\f(CW\*(C'\fR is stored internally within three regular tables
\&\f(CW\*(C`\f(CIt\f(CW_content\*(C'\fR, \f(CW\*(C`\f(CIt\f(CW_segments\*(C'\fR and \f(CW\*(C`\f(CIt\f(CW_segdir\*(C'\fR.  The last two
tables contain the fulltext index.  The first table \f(CW\*(C`\f(CIt\f(CW_content\*(C'\fR
stores the complete documents being indexed ... but if copies of the
same documents are already stored somewhere else, or can be computed
from external resources (for example as \s-1HTML\s0 or MsWord files in the
filesystem), then this is quite a waste of space. SQLite itself only
needs the \f(CW\*(C`\f(CIt\f(CW_content\*(C'\fR table for implementing the \f(CW\*(C`offsets()\*(C'\fR and
\&\f(CW\*(C`snippet()\*(C'\fR functions, which are not always usable anyway (in particular
when using utf8 characters greater than 255).
.PP
So an alternative strategy is to use SQLite only for the fulltext
index and metadata, and to keep the full documents outside of SQLite :
to do so, after each insert or update in the \s-1FTS3\s0 table, do an update
in the \f(CW\*(C`\f(CIt\f(CW_content\*(C'\fR table, setting the content column(s) to
\&\s-1NULL\s0. Of course your application will need an algorithm for finding
the external resource corresponding to any \fIdocid\fR stored within
SQLite. Furthermore, SQLite \f(CW\*(C`offsets()\*(C'\fR and \f(CW\*(C`snippet()\*(C'\fR functions
cannot be used, so if such functionality is needed, it has to be
directly programmed within the Perl application.
In short, this strategy is really a hack, because \s-1FTS3\s0 was not originally
programmed with that behaviour in mind; however it is workable
and has a strong impact on the size of the database file.
.SH "SUPPORT"
.IX Header "SUPPORT"
Bugs should be reported via the \s-1CPAN\s0 bug tracker at
.PP
<http://rt.cpan.org/NoAuth/ReportBug.html?Queue=DBD\-SQLite>
.SH "TO DO"
.IX Header "TO DO"
* Add more and varied cookbook recipes, until we have enough to
turn them into a separate \s-1CPAN\s0 distribution.
.PP
* Create a series of tests scripts that validate the cookbook recipies.
.SH "AUTHOR"
.IX Header "AUTHOR"
Adam Kennedy <adamk@cpan.org>
.PP
Laurent Dami <dami@cpan.org>
.SH "COPYRIGHT"
.IX Header "COPYRIGHT"
Copyright 2009 \- 2011 Adam Kennedy.
.PP
This program is free software; you can redistribute
it and/or modify it under the same terms as Perl itself.
.PP
The full text of the license can be found in the
\&\s-1LICENSE\s0 file included with this module.