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Cache(3)	      User Contributed Perl Documentation	      Cache(3)

NAME
       Tie::Cache - LRU Cache in Memory

SYNOPSIS
	use Tie::Cache;
	tie %cache, 'Tie::Cache', 100, { Debug => 1 };
	tie %cache2, 'Tie::Cache', { MaxCount => 100, MaxBytes => 50000 };
	tie %cache3, 'Tie::Cache', 100, { Debug => 1 , WriteSync => 0};

	# Options ##################################################################
	#
	# Debug =>	0 - DEFAULT, no debugging output
	#		1 - prints cache statistics upon destroying
	#		2 - prints detailed debugging info
	#
	# MaxCount =>	Maximum entries in cache.
	#
	# MaxBytes =>	Maximum bytes taken in memory for cache based on approximate
	#		size of total cache structure in memory
	#
	#		There is approximately 240 bytes used per key/value pair in the cache for
	#		the cache data structures, so a cache of 5000 entries would take
	#		at approximately 1.2M plus the size of the data being cached.
	#
	# MaxSize  =>	Maximum size of each cache entry. Larger entries are not cached.
	#		    This helps prevent much of the cache being flushed when
	#		    you set an exceptionally large entry.  Defaults to MaxBytes/10
	#
	# WriteSync =>	1 - DEFAULT, write() when data is dirtied for
	#		    TRUE CACHE (see below)
	#		0 - write() dirty data as late as possible, when leaving
	#		    cache, or when cache is being DESTROY'd
	#
	############################################################################

	# cache supports normal tied hash functions
	$cache{1} = 2;	     # STORE
	print "$cache{1}\n"; # FETCH

	# FIRSTKEY, NEXTKEY
	while(($k, $v) = each %cache) { print "$k: $v\n"; }

	delete $cache{1};    # DELETE
	%cache = ();	     # CLEAR

DESCRIPTION
       This module implements a least recently used (LRU) cache in memory
       through a tie interface.	 Any time data is stored in the tied hash,
       that key/value pair has an entry time associated with it, and as the
       cache fills up, those members of the cache that are the oldest are
       removed to make room for new entries.

       So, the cache only "remembers" the last written entries, up to the size
       of the cache.  This can be especially useful if you access great
       amounts of data, but only access a minority of the data a majority of
       the time.

       The implementation is a hash, for quick lookups, overlaying a doubly
       linked list for quick insertion and deletion.  On a WinNT PII 300,
       writes to the hash were done at a rate 3100 per second, and reads from
       the hash at 6300 per second.  Work has been done to optimize refreshing
       cache entries that are frequently read from, code like $cache{entry},
       which moves the entry to the end of the linked list internally.

INSTALLATION
       Tie::Cache installs easily using the make or nmake commands as shown
       below.  Otherwise, just copy Cache.pm to $PERLLIB/site/Tie

	       > perl Makefile.PL
	       > make
	       > make test
	       > make install

	       * use nmake for win32
	       ** you can also just copy Cache.pm to $perllib/Tie

BENCMARKS
       There is another simpler LRU cache implementation in CPAN,
       Tie::Cache::LRU, which has the same basic size limiting functionality,
       and for this functionality, the exact same interface.

       Through healthy competition, Michael G Schwern got Tie::Cache::LRU
       mostly faster than Tie::Cache on reads & writes:

	Cache Size 5000	      Tie::Cache 0.17  Tie::Cache::LRU 0.21
	10000 Writes		 1.55 CPU sec	       1.10 CPU sec
	40000 Reads		 1.82 CPU sec	       1.58 CPU sec
	10000 Deletes		 0.55 CPU sec	       0.59 CPU sec

       Unless you are using TRUE CACHE or MaxBytes functionality, using
       Tie::Cache::LRU should be an easy replacement for Tie::Cache.

TRUE CACHE
       To use class as a true cache, which acts as the sole interface for some
       data set, subclass the real cache off Tie::Cache, with @ISA = qw(
       'Tie::Cache' ) notation.	 Then override the read() method for behavior
       when there is a cache miss, and the write() method for behavior when
       the cache's data changes.

       When WriteSync is 1 or TRUE (DEFAULT), write() is called immediately
       when data in the cache is modified.  If set to 0, data that has been
       modified in the cache gets written out when the entries are deleted or
       during the DESTROY phase of the cache object, usually at the end of a
       script.

       To have the dirty data write() periodically while WriteSync is set to
       0, there is a flush() cache API call that will flush the dirty writes
       in this way.  Just call the flush() API like:

	 my $write_flush_count = tied(%cache)->flush();

       The flush() API was added in the .17 release thanks to Rob Bloodgood.

TRUE CACHE EXAMPLE
	use Tie::Cache;

	# personalize the Tie::Cache object, by inheriting from it
	package My::Cache;
	@ISA = qw(Tie::Cache);

	# override the read() and write() member functions
	# these tell the cache what to do with a cache miss or flush
	sub read {
	   my($self, $key) = @_;
	   print "cache miss for $key, read() data\n";
	   rand() * $key;
	}
	sub write {
	   my($self, $key, $value) = @_;
	   print "flushing [$key, $value] from cache, write() data\n";
	}

	my $cache_size	 = $ARGV[0] || 2;
	my $num_to_cache = $ARGV[1] || 4;
	my $Debug = $ARGV[2] || 1;

	tie %cache, 'My::Cache', $cache_size, {Debug => $Debug};

	# load the cache with new data, each through its contents,
	# and then reload in reverse order.
	for(1..$num_to_cache) { print "read data $_: $cache{$_}\n" }
	while(my($k, $v) = each %cache) { print "each data $k: $v\n"; }
	for(my $i=$num_to_cache; $i>0; $i--) { print "read data $i: $cache{$i}\n"; }

	# flush writes now, trivial use since will happen in DESTROY() anyway
	tied(%cache)->flush();

	# clear cache in 2 ways, write will flush out to disk
	%cache = ();
	undef %cache;

NOTES
       Many thanks to all those who helped me make this module a reality,
       including:

	       :) Tom Hukins who provided me insight and motivation for
		  finishing this module.
	       :) Jamie McCarthy, for trying to make Tie::Cache be all
		  that it can be.
	       :) Rob Fugina who knows how to "TRULY CACHE".
	       :) Rob Bloodgood, for the TRUE CACHE flush() API

AUTHOR
       Please send any questions or comments to Joshua Chamas at
       chamas@alumni.stanford.org

COPYRIGHT
       Copyright (c) 1999-2002 Joshua Chamas, Chamas Enterprises Inc.  Spon-
       sored by development on NodeWorks http://www.nodeworks.com

       All rights reserved. This program is free software; you can redis-
       tribute it and/or modify it under the same terms as Perl itself.

perl v5.8.8			  2002-06-28			      Cache(3)
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