NAME MLDBM::Sync - safe concurrent access to MLDBM databases SYNOPSIS use MLDBM::Sync; # this gets the default, SDBM_File use MLDBM qw(DB_File Storable); # use Storable for serializing use MLDBM qw(MLDBM::Sync::SDBM_File); # use extended SDBM_File, handles values > 1024 bytes use Fcntl qw(:DEFAULT); # import symbols O_CREAT & O_RDWR for use with DBMs # NORMAL PROTECTED read/write with implicit locks per i/o request my $sync_dbm_obj = tie %cache, 'MLDBM::Sync' [..other DBM args..] or die $!; $cache{"AAAA"} = "BBBB"; my $value = $cache{"AAAA"}; # SERIALIZED PROTECTED read/write with explicit lock for both i/o requests my $sync_dbm_obj = tie %cache, 'MLDBM::Sync', '/tmp/syncdbm', O_CREAT|O_RDWR, 0640; $sync_dbm_obj->Lock; $cache{"AAAA"} = "BBBB"; my $value = $cache{"AAAA"}; $sync_dbm_obj->UnLock; # SERIALIZED PROTECTED READ access with explicit read lock for both reads $sync_dbm_obj->ReadLock; my @keys = keys %cache; my $value = $cache{'AAAA'}; $sync_dbm_obj->UnLock; # MEMORY CACHE LAYER with Tie::Cache $sync_dbm_obj->SyncCacheSize('100K'); # KEY CHECKSUMS, for lookups on MD5 checksums on large keys my $sync_dbm_obj = tie %cache, 'MLDBM::Sync', '/tmp/syncdbm', O_CREAT|O_RDWR, 0640; $sync_dbm_obj->SyncKeysChecksum(1); my $large_key = "KEY" x 10000; $sync{$large_key} = "LARGE"; my $value = $sync{$large_key}; DESCRIPTION This module wraps around the MLDBM interface, by handling concurrent access to MLDBM databases with file locking, and flushes i/o explicity per lock/unlock. The new [Read]Lock()/UnLock() API can be used to serialize requests logically and improve performance for bundled reads & writes. my $sync_dbm_obj = tie %cache, 'MLDBM::Sync', '/tmp/syncdbm', O_CREAT|O_RDWR, 0640; # Write locked critical section $sync_dbm_obj->Lock; ... all accesses to DBM LOCK_EX protected, and go to same tied file handles $cache{'KEY'} = 'VALUE'; $sync_dbm_obj->UnLock; # Read locked critical section $sync_dbm_obj->ReadLock; ... all read accesses to DBM LOCK_SH protected, and go to same tied files ... WARNING, cannot write to DBM in ReadLock() section, will die() my $value = $cache{'KEY'}; $sync_dbm_obj->UnLock; # Normal access OK too, without explicity locking $cache{'KEY'} = 'VALUE'; my $value = $cache{'KEY'}; MLDBM continues to serve as the underlying OO layer that serializes complex data structures to be stored in the databases. See the MLDBM the BUGS manpage section for important limitations. MLDBM::Sync also provides built in RAM caching with Tie::Cache md5 key checksum functionality. INSTALL Like any other CPAN module, either use CPAN.pm, or perl -MCPAN `-e' shell, or get the file MLDBM-Sync-x.xx.tar.gz, unzip, untar and: perl Makefile.PL make make test make install LOCKING The MLDBM::Sync wrapper protects MLDBM databases by locking and unlocking around read and write requests to the databases. Also necessary is for each new lock to tie() to the database internally, untie()ing when unlocking. This flushes any i/o for the dbm to the operating system, and allows for concurrent read/write access to the databases. Without any extra effort from the developer, an existing MLDBM database will benefit from MLDBM::sync. my $dbm_obj = tie %dbm, ...; $dbm{"key"} = "value"; As a write or STORE operation, the above will automatically cause the following: $dbm_obj->Lock; # also ties $dbm{"key"} = "value"; $dbm_obj->UnLock; # also unties Just so, a read or FETCH operation like: my $value = $dbm{"key"}; will really trigger: $dbm_obj->ReadLock; # also ties my $value = $dbm{"key"}; $dbm_obj->Lock; # also unties However, these lock operations are expensive because of the underlying tie()/untie() that occurs for i/o flushing, so when bundling reads & writes, a developer may explicitly use this API for greater performance: # tie once to database, write 100 times $dbm_obj->Lock; for (1..100) { $dbm{$_} = $_ * 100; ... } $dbm_obj->UnLock; # only tie once to database, and read 100 times $dbm_obj->ReadLock; for(1..100) { my $value = $dbm{$_}; ... } $dbm_obj->UnLock; CACHING I built MLDBM::Sync to serve as a fast and robust caching layer for use in multi-process environments like mod_perl. In order to provide an additional speed boost when caching static data, I have added an RAM caching layer with Tie::Cache, which regulates the size of the memory used with its MaxBytes setting. To activate this caching, just: my $dbm = tie %cache, 'MLDBM::Sync', '/tmp/syncdbm', O_CREAT|O_RDWR, 0640; $dbm->SyncCacheSize(100000); # 100000 bytes max memory used $dbm->SyncCacheSize('100K'); # 100 Kbytes max memory used $dbm->SyncCacheSize('1M'); # 1 Megabyte max memory used The ./bench/bench_sync.pl, run like "bench_sync.pl `-c'" will run the tests with caching turned on creating a benchmark with 50% cache hits. One run without caching was: === INSERT OF 50 BYTE RECORDS === Time for 100 writes + 100 reads for SDBM_File 0.16 seconds 12288 bytes Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 0.17 seconds 12288 bytes Time for 100 writes + 100 reads for GDBM_File 3.37 seconds 17980 bytes Time for 100 writes + 100 reads for DB_File 4.45 seconds 20480 bytes And with caching, with 50% cache hits: === INSERT OF 50 BYTE RECORDS === Time for 100 writes + 100 reads for SDBM_File 0.11 seconds 12288 bytes Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 0.11 seconds 12288 bytes Time for 100 writes + 100 reads for GDBM_File 2.49 seconds 17980 bytes Time for 100 writes + 100 reads for DB_File 2.55 seconds 20480 bytes Even for SDBM_File, this speedup is near 33%. KEYS CHECKSUM A common operation on database lookups is checksumming the key, prior to the lookup, because the key could be very large, and all one really wants is the data it maps too. To enable this functionality automatically with MLDBM::Sync, just: my $sync_dbm_obj = tie %cache, 'MLDBM::Sync', '/tmp/syncdbm', O_CREAT|O_RDWR, 0640; $sync_dbm_obj->SyncKeysChecksum(1); !! WARNING: keys() & each() do not work on these databases !! as of v.03, so the developer will not be fooled into thinking !! the stored key values are meaningful to the calling application !! and will die() if called. !! !! This behavior could be relaxed in the future. An example of this might be to cache a XSLT conversion, which are typically very expensive. You have the XML data and the XSLT data, so all you do is: # $xml_data, $xsl_data are strings my $xslt_output; unless ($xslt_output = $cache{$xml_data.'&&&&'.$xsl_data}) { ... do XSLT conversion here for $xslt_output ... $cache{$xml_data.'&&&&'.xsl_data} = $xslt_output; } What you save by doing this is having to create HUGE keys to lookup on, which no DBM is likely to do efficiently. This is the same method that File::Cache uses internally to hash its file lookups in its directories. New MLDBM::Sync::SDBM_File SDBM_File, the default used for MLDBM and therefore MLDBM::Sync has a limit of 1024 bytes for the size of a record. SDBM_File is also an order of magnitude faster for small records to use with MLDBM::Sync, than DB_File or GDBM_File, because the tie()/untie() to the dbm is much faster. Therefore, bundled with MLDBM::Sync release is a MLDBM::Sync::SDBM_File layer which works around this 1024 byte limit. To use, just: use MLDBM qw(MLDBM::Sync::SDBM_File); It works by breaking up up the STORE() values into small 128 byte segments, and spreading those segments across many records, creating a virtual record layer. It also uses Compress::Zlib to compress STORED data, reducing the number of these 128 byte records. In benchmarks, 128 byte record segments seemed to be a sweet spot for space/time efficiency, as SDBM_File created very bloated *.pag files for 128+ byte records. BENCHMARKS In the distribution ./bench directory is a bench_sync.pl script that can benchmark using the various DBMs with MLDBM::Sync. The MLDBM::Sync::SDBM_File DBM is special because is uses SDBM_File for fast small inserts, but slows down linearly with the size of the data being inserted and read, with the speed matching that of GDBM_File & DB_File somewhere around 20,000 bytes. So for DBM key/value pairs up to 10000 bytes, you are likely better off with MLDBM::Sync::SDBM_File if you can afford the extra space it uses. At 20,000 bytes, time is a wash, and disk space is greater, so you might as well use DB_File or GDBM_File. The results for a dual 450 linux 2.2.14, with a ext2 file system blocksize 4096 mounted async on a SCSI disk were as follows: === INSERT OF 50 BYTE RECORDS === Time for 100 writes + 100 reads for SDBM_File 0.13 seconds 12288 bytes Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 0.15 seconds 12288 bytes Time for 100 writes + 100 reads for GDBM_File 3.33 seconds 18066 bytes Time for 100 writes + 100 reads for DB_File 4.26 seconds 20480 bytes === INSERT OF 500 BYTE RECORDS === Time for 100 writes + 100 reads for SDBM_File 0.17 seconds 1033216 bytes Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 0.54 seconds 110592 bytes Time for 100 writes + 100 reads for GDBM_File 3.47 seconds 63472 bytes Time for 100 writes + 100 reads for DB_File 4.30 seconds 86016 bytes === INSERT OF 5000 BYTE RECORDS === (skipping test for SDBM_File 1024 byte limit) Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 1.33 seconds 1915904 bytes Time for 100 writes + 100 reads for GDBM_File 4.32 seconds 832400 bytes Time for 100 writes + 100 reads for DB_File 6.16 seconds 839680 bytes === INSERT OF 20000 BYTE RECORDS === (skipping test for SDBM_File 1024 byte limit) Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 4.40 seconds 8173568 bytes Time for 100 writes + 100 reads for GDBM_File 4.86 seconds 2063912 bytes Time for 100 writes + 100 reads for DB_File 6.71 seconds 2068480 bytes === INSERT OF 50000 BYTE RECORDS === (skipping test for SDBM_File 1024 byte limit) Time for 100 writes + 100 reads for MLDBM::Sync::SDBM_File 12.87 seconds 27446272 bytes Time for 100 writes + 100 reads for GDBM_File 5.39 seconds 5337944 bytes Time for 100 writes + 100 reads for DB_File 7.22 seconds 5345280 bytes AUTHORS Copyright (c) 2001 Joshua Chamas, Chamas Enterprises Inc. All rights reserved. Sponsored by development on NodeWorks http://www.nodeworks.com SEE ALSO MLDBM(3), SDBM_File(3), DB_File(3), GDBM_File(3)