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package Tie::RDBM; use strict; use vars qw($VERSION %Types); use Carp; use DBI; $VERSION = '0.73'; # %Types is used for creating the data table if it doesn't exist already. # You may want to edit this. %Types = ( # key value frozen freeze keyless 'mysql' => [qw/ varchar(127) longblob tinyint 1 0 /], 'mSQL' => [qw/ char(255) char(255) int 0 0 /], 'Pg' => [qw/ varchar(127) varchar(2000) int 0 0 /], 'Sybase' => [qw/ varchar(255) varbinary(255) tinyint 1 0 /], 'Oracle' => [qw/ varchar(255) varchar2(2000) integer 1 0 /], 'CSV' => [qw/ varchar(255) varchar(255) integer 1 1 /], 'Informix' => [qw/ nchar(120) nchar(2000) integer 0 0 /], 'Solid' => [qw/ varchar(255) varbinary(2000) integer 1 0 /], 'ODBC' => [qw/ varchar(255) varbinary(2000) integer 1 0 /], 'default' => [qw/ varchar(255) varchar(255) integer 0 0 /], #others ); # list drivers that do run-time binding correctly my %CAN_BIND = ( 'mysql' => 1, 'mSQL' => 1, 'Oracle' => 1, 'Pg' => 1, 'Informix' => 1, 'Solid' => 1, 'ODBC' => 1, ); # Default options for the module my %DefaultOptions = ( 'table' => 'pdata', 'key' => 'pkey', 'value' => 'pvalue', 'frozen' => 'pfrozen', 'user' => '', 'password' => '', 'autocommit' => 1, 'create' => 0, 'drop' => 0, 'DEBUG' => 0, ); sub TIEHASH { my $class = shift; my ( $dsn, $opt ) = ref( $_[0] ) ? ( undef, $_[0] ) : @_; $dsn ||= $opt->{'db'}; croak "Usage tie(%h,Tie::RDBM,<DBI_data_source>,\%options)" unless $dsn; if ($opt) { foreach ( keys %DefaultOptions ) { $opt->{$_} = $DefaultOptions{$_} unless exists( $opt->{$_} ); } } else { $opt = \%DefaultOptions; } my ( $dbh, $driver ); if ( UNIVERSAL::isa( $dsn, 'DBI::db' ) ) { $dbh = $dsn; $driver = $dsn->{Driver}{Name}; } else { $dsn = "dbi:$dsn" unless $dsn =~ /^dbi/; ($driver) = $dsn =~ /\w+:(\w+)/; # Try to establish connection with data source. delete $ENV{NLS_LANG} if $driver eq 'Oracle'; # allow 8 bit connections? $dbh = DBI->connect( $dsn, $opt->{user}, $opt->{password}, { AutoCommit => $opt->{autocommit}, PrintError => 0, ChopBlanks => 1, Warn => 0 } ); croak "TIEHASH: Can't open $dsn, $DBI::errstr" unless $dbh; } # A variety of shinanegans to handle freeze/thaw option. # We will serialize references if: # 1. The database driver supports binary types. # 2. The database table has a boolean field to indicate that a value is frozen. # 3. The Storable module is available. # we also check that "primary key" is recognized my $db_features = $Types{$driver} || $Types{'default'}; my ($canfreeze) = $db_features->[3]; my ($keyless) = $db_features->[4]; my ($haveStorable) = eval 'require Storable;'; Storable->import(qw/nfreeze thaw/) if $haveStorable; $canfreeze &&= $haveStorable; # Check that the indicated table exists. If it doesn't, # try to create it.... # This query tests that a table with the correct fields is present. # I would prefer to use a where clause of 1=0 but some dumb drivers (mSQL) # treat this as a syntax error!!! my $q = "select * from $opt->{table} where $opt->{key}=''"; my $sth = $dbh->prepare($q); my $structure_ok = 0; local ($^W) = 0; # uninitialized variable problem if ( defined($sth) && $sth->execute() ne '' ) { # At least the key field exists. Check whether the others do too. my (%field_names); grep( $field_names{ lc($_) }++, @{ $sth->{NAME} } ); $structure_ok++ if $field_names{ $opt->{'value'} }; $canfreeze &&= $field_names{ $opt->{'frozen'} }; } unless ($structure_ok) { unless ( $opt->{'create'} || $opt->{'drop'} ) { my $err = $DBI::errstr; $dbh->disconnect; croak "Table $opt->{table} does not have expected structure and creation forbidden: $err"; } $dbh->do("drop table $opt->{table}") if $opt->{'drop'}; my ( $keytype, $valuetype, $frozentype ) = @{$db_features}; my (@fields) = ( $keyless ? "$opt->{key} $keytype" : "$opt->{key} $keytype primary key", "$opt->{value} $valuetype" ); push( @fields, ( $keyless ? "$opt->{frozen} $frozentype" : "$opt->{frozen} $frozentype not null" ) ) if $canfreeze; $q = "create table $opt->{table} (" . join( ',', @fields ) . ")"; warn "$q\n" if $opt->{DEBUG}; $dbh->do($q) || do { my $err = $DBI::errstr; $dbh->disconnect; croak("Can't initialize data table: $err"); } } return bless { 'dbh' => $dbh, 'table' => $opt->{'table'}, 'key' => $opt->{'key'}, 'value' => $opt->{'value'}, 'frozen' => $opt->{'frozen'}, 'canfreeze' => $canfreeze, 'brokenselect' => $driver eq 'mSQL' || $driver eq 'mysql', 'canbind' => $CAN_BIND{$driver}, 'DEBUG' => $opt->{DEBUG}, }, $class; } sub FETCH { my ( $self, $key ) = @_; # this is a hack to avoid doing an unnecessary SQL select # during an each() loop. return $self->{'cached_value'}->{$key} if exists $self->{'cached_value'}->{$key}; # create statement handler if it doesn't already exist. my $cols = $self->{'canfreeze'} ? "$self->{'value'},$self->{'frozen'}" : $self->{'value'}; my $sth = $self->_run_query( 'fetch', <<END, $key ); select $cols from $self->{table} where $self->{key}=? END my $result = $sth->fetchrow_arrayref(); $sth->finish; return undef unless $result; $self->{'canfreeze'} && $result->[1] ? thaw( $result->[0] ) : $result->[0]; } sub STORE { my ( $self, $key, $value ) = @_; my $frozen = 0; if ( ref($value) && $self->{'canfreeze'} ) { $frozen++; $value = nfreeze($value); } # Yes, this is ugly. It is designed to minimize the number of SQL statements # for both database whose update statements return the number of rows updated, # and those (like mSQL) whose update statements don't. my ($r); if ( $self->{'brokenselect'} ) { return $self->EXISTS($key) ? $self->_update( $key, $value, $frozen ) : $self->_insert( $key, $value, $frozen ); } return $self->_update( $key, $value, $frozen ) || $self->_insert( $key, $value, $frozen ); } sub DELETE { my ( $self, $key ) = @_; my $sth = $self->_run_query( 'delete', <<END, $key ); delete from $self->{table} where $self->{key}=? END croak "Database delete statement failed: $DBI::errstr" if $sth->err; $sth->finish; 1; } sub CLEAR { my $self = shift; my $dbh = $self->{'dbh'}; my $sth = $self->_prepare( 'clear', "delete from $self->{table}" ); $sth->execute(); croak "Database delete all statement failed: $DBI::errstr" if $dbh->err; $sth->finish; } sub EXISTS { my ( $self, $key ) = @_; my $sth = $self->_run_query( 'exists', <<END, $key ); select $self->{key} from $self->{table} where $self->{key}=? END croak "Database select statement failed: $DBI::errstr" unless $sth; $sth->fetch; my $rows = $sth->rows; $sth->finish; $rows >= 1; } sub FIRSTKEY { my $self = shift; delete $self->{'cached_value'}; if ( $self->{'fetchkeys'} ) { $self->{'fetchkeys'}->finish(); # to prevent truncation in ODBC driver delete $self->{'fetchkeys'}; } my $sth = $self->_prepare( 'fetchkeys', $self->{'canfreeze'} ? <<END1 : <<END2); select $self->{'key'},$self->{'value'},$self->{'frozen'} from $self->{'table'} END1 select $self->{'key'},$self->{'value'} from $self->{'table'} END2 $sth->execute() || croak "Can't execute select statement: $DBI::errstr"; my $ref = $sth->fetch(); return defined($ref) ? $ref->[0] : undef; } sub NEXTKEY { my $self = shift; # no statement handler defined, so nothing to iterate over return wantarray ? () : undef unless my $sth = $self->{'fetchkeys'}; my $r = $sth->fetch(); if ( !$r ) { $sth->finish; delete $self->{'cached_value'}; return wantarray ? () : undef; } my ( $key, $value ) = ( $r->[0], $r->[2] ? thaw( $r->[1] ) : $r->[1] ); $self->{'cached_value'}->{$key} = $value; return wantarray ? ( $key, $value ) : $key; } sub DESTROY { my $self = shift; foreach (qw/fetch update insert delete clear exists fetchkeys/) { $self->{$_}->finish if $self->{$_}; } $self->{'dbh'}->disconnect() if $self->{'dbh'}; } sub commit { $_[0]->{'dbh'}->commit(); } sub rollback { $_[0]->{'dbh'}->rollback(); } # utility routines sub _update { my ( $self, $key, $value, $frozen ) = @_; my ($sth); if ( $self->{'canfreeze'} ) { $sth = $self->_run_query( 'update', "update $self->{table} set $self->{value}=?,$self->{frozen}=? where $self->{key}=?", $value, $frozen, $key ); } else { $sth = $self->_run_query( 'update', "update $self->{table} set $self->{value}=? where $self->{key}=?", $value, $key ); } croak "Update: $DBI::errstr" unless $sth; $sth->rows > 0; } sub _insert { my ( $self, $key, $value, $frozen ) = @_; my ($sth); if ( $self->{'canfreeze'} ) { $sth = $self->_run_query( 'insert', "insert into $self->{table} ($self->{key},$self->{value},$self->{frozen}) values (?,?,?)", $key, $value, $frozen ); } else { $sth = $self->_run_query( 'insert', "insert into $self->{table} ($self->{key},$self->{value}) values (?,?)", $key, $value ); } ( $sth && $sth->rows ) || croak "Update: $DBI::errstr"; } sub _run_query { my $self = shift; my ( $tag, $query, @bind_variables ) = @_; if ( $self->{canbind} ) { my $sth = $self->_prepare( $tag, $query ); return undef unless $sth->execute(@bind_variables); return $sth; } # if we get here, then we can't bind, so we replace ? with escaped parameters $query =~ s/\?/$self->{'dbh'}->quote(shift(@bind_variables))/eg; my $sth = $self->{'dbh'}->prepare($query); return undef unless $sth && $sth->execute; return $sth; } sub _prepare ($$$) { my ( $self, $tag, $q ) = @_; unless ( exists( $self->{$tag} ) ) { return undef unless $q; warn $q, "\n" if $self->{DEBUG}; my $sth = $self->{'dbh'}->prepare($q); croak qq/Problems preparing statement "$q": $DBI::errstr/ unless $sth; $self->{$tag} = $sth; } else { $self->{$tag}->finish if $q; # in case we forget } $self->{$tag}; } 1; __END__ =head1 NAME Tie::RDBM - Tie hashes to relational databases =head1 SYNOPSIS use Tie::RDBM; tie %h,'Tie::RDBM','mysql:test',{table=>'Demo',create=>1,autocommit=>0}; $h{'key1'} = 'Some data here'; $h{'key2'} = 42; $h{'key3'} = { complex=>['data','structure','here'],works=>'true' }; $h{'key4'} = new Foobar('Objects work too'); print $h{'key3'}->{complex}->[0]; tied(%h)->commit; untie %h; =head1 DESCRIPTION This module allows you to tie Perl associative arrays (hashes) to SQL databases using the DBI interface. The tied hash is associated with a table in a local or networked database. One field of the table becomes the hash key, and another becomes the value. Once tied, all the standard hash operations work, including iteration over keys and values. If you have the Storable module installed, you may store arbitrarily complex Perl structures (including objects) into the hash and later retrieve them. When used in conjunction with a network-accessible database, this provides a simple way to transmit data structures between Perl programs on two different machines. =head1 TIEING A DATABASE tie %VARIABLE,Tie::RDBM,DSN [,\%OPTIONS] You tie a variable to a database by providing the variable name, the tie interface (always "Tie::RDBM"), the data source name, and an optional hash reference containing various options to be passed to the module and the underlying database driver. The data source may be a valid DBI-style data source string of the form "dbi:driver:database_name[:other information]", or a previously-opened database handle. See the documentation for DBI and your DBD driver for details. Because the initial "dbi" is always present in the data source, Tie::RDBM will automatically add it for you. The options array contains a set of option/value pairs. If not provided, defaults are assumed. The options are: =over 4 =item user [''] Account name to use for database authentication, if necessary. Default is an empty string (no authentication necessary). =item password [''] Password to use for database authentication, if necessary. Default is an empty string (no authentication necessary). =item db [''] The data source, if not provided in the argument. This allows an alternative calling style: tie(%h,Tie::RDBM,{db=>'dbi:mysql:test',create=>1}; =item table ['pdata'] The name of the table in which the hash key/value pairs will be stored. =item key ['pkey'] The name of the column in which the hash key will be found. If not provided, defaults to "pkey". =item value ['pvalue'] The name of the column in which the hash value will be found. If not provided, defaults to "pvalue". =item frozen ['pfrozen'] The name of the column that stores the boolean information indicating that a complex data structure has been "frozen" using Storable's freeze() function. If not provided, defaults to "pfrozen". NOTE: if this field is not present in the database table, or if the database is incapable of storing binary structures, Storable features will be disabled. =item create [0] If set to a true value, allows the module to create the database table if it does not already exist. The module emits a CREATE TABLE command and gives the key, value and frozen fields the data types most appropriate for the database driver (from a lookup table maintained in a package global, see DATATYPES below). The success of table creation depends on whether you have table create access for the database. The default is not to create a table. tie() will fail with a fatal error. =item drop [0] If the indicated database table exists, but does not have the required key and value fields, Tie::RDBM can try to add the required fields to the table. Currently it does this by the drastic expedient of DROPPING the table entirely and creating a new empty one. If the drop option is set to true, Tie::RDBM will perform this radical restructuring. Otherwise tie() will fail with a fatal error. "drop" implies "create". This option defaults to false. A future version of Tie::RDBM may implement a last radical restructuring method; differences in DBI drivers and database capabilities make this task harder than it would seem. =item autocommit [1] If set to a true value, the "autocommit" option causes the database driver to commit after every store statement. If set to a false value, this option will not commit to the database until you explicitly call the Tie::RDBM commit() method. The autocommit option defaults to true. =item DEBUG [0] When the "DEBUG" option is set to a true value the module will echo the contents of SQL statements and other debugging information to standard error. =back =head1 USING THE TIED ARRAY The standard fetch, store, keys(), values() and each() functions will work as expected on the tied array. In addition, the following methods are available on the underlying object, which you can obtain with the standard tie() operator: =over 4 =item commit() (tied %h)->commit(); When using a database with the autocommit option turned off, values that are stored into the hash will not become permanent until commit() is called. Otherwise they are lost when the application terminates or the hash is untied. Some SQL databases don't support transactions, in which case you will see a warning message if you attempt to use this function. =item rollback() (tied %h)->rollback(); When using a database with the autocommit option turned off, this function will roll back changes to the database to the state they were in at the last commit(). This function has no effect on database that don't support transactions. =back =head1 DATABASES AND DATATYPES Perl is a weakly typed language. Databases are strongly typed. When translating from databases to Perl there is inevitably some data type conversion that you must worry about. I have tried to keep the details as transparent as possible without sacrificing power; this section discusses the tradeoffs. If you wish to tie a hash to a preexisting database, specify the database name, the table within the database, and the fields you wish to use for the keys and values. These fields can be of any type that you choose, but the data type will limit what can be stored there. For example, if the key field is of type "int", then any numeric value will be a valid key, but an attempt to use a string as a key will result in a run time error. If a key or value is too long to fit into the data field, it will be truncated silently. For performance reasons, the key field should be a primary key, or at least an indexed field. It should also be unique. If a key is present more than once in a table, an attempt to fetch it will return the first record found by the SQL select statement. If you wish to store Perl references in the database, the module needs an additional field in which it can store a flag indicating whether the data value is a simple or a complex type. This "frozen" field is treated as a boolean value. A "tinyint" data type is recommended, but strings types will work as well. In a future version of this module, the "frozen" field may be turned into a general "datatype" field in order to minimize storage. For future compatability, please use an integer for the frozen field. If you use the "create" and/or "drop" options, the module will automatically attempt to create a table for its own use in the database if a suitable one isn't found. It uses information defined in the package variable %Tie::RDBM::Types to determine what kind of data types to create. This variable is indexed by database driver. Each index contains a four-element array indicating what data type to use for each of the key, value and frozen fields, and whether the database can support binary types. Since I have access to only a limited number of databases, the table is currently short: Driver Key Field Value Field Frozen Field Binary? mysq varchar(127) longblob tinyint 1 mSQL char(255) char(255) int 0 Sybase varchar(255) varbinary(255) tinyint 1 default varchar(255) varbinary(255) tinyint 1 The "default" entry is used for any driver not specifically mentioned. You are free to add your own entries to this table, or make corrections. Please send me e-mail with any revisions you make so that I can share the wisdom. =head1 STORABLE CAVEATS Because the Storable module packs Perl structures in a binary format, only those databases that support a "varbinary" or "blob" type can handle complex datatypes. Furthermore, some databases have strict limitations on the size of these structures. For example, SyBase and MS SQL Server have a "varbinary" type that maxes out at 255 bytes. For structures larger than this, the databases provide an "image" type in which storage is allocated in 2K chunks! Worse, access to this image type uses a non-standard SQL extension that is not supported by DBI. Databases that do not support binary fields cannot use the Storable feature. If you attempt to store a reference to a complex data type in one of these databases it will be converted into strings like "HASH(0x8222cf4)", just as it would be if you tried the same trick with a conventional tied DBM hash. If the database supports binary fields of restricted length, large structures may be silently truncated. Caveat emptor. It's also important to realize the limitations of the Storable mechanism. You can store and retrieve entire data structures, but you can't twiddle with individual substructures and expect them to persist when the process exits. To update a data structure, you must fetch it from the hash, make the desired modifications, then store it back into the hash, as the example below shows: B<Process #1:> tie %h,'Tie::RDBM','mysql:Employees:host.somewhere.com', {table=>'employee',user=>'fred',password=>'xyzzy'}; $h{'Anne'} = { office=>'999 Infinity Drive, Rm 203', age => 29, salary => 32100 }; $h{'Mark'} = { office=>'000 Iteration Circle, Rm -123', age => 32, salary => 35000 }; B<Process #2:> tie %i,'Tie::RDBM','mysql:Employees:host.somewhere.com', {table=>'employee',user=>'george',password=>'kumquat2'}; foreach (keys %i) { $info = $i{$_}; if ($info->{age} > 30) { # Give the oldies a $1000 raise $info->{salary} += 1000; $i{$_} = $info; } } This example also demonstrates how two Perl scripts running on different machines can use Tie::RDBM to share complex data structures (in this case, the employee record) without resorting to sockets, remote procedure calls, shared memory, or other gadgets =head1 PERFORMANCE What is the performance hit when you use this module? It can be significant. I used a simple benchmark in which Perl parsed a 6180 word text file into individual words and stored them into a database, incrementing the word count with each store. The benchmark then read out the words and their counts in an each() loop. The database driver was mySQL, running on a 133 MHz Pentium laptop with Linux 2.0.30. I compared Tie::RDBM, to DB_File, and to the same task using vanilla DBI SQL statements. The results are shown below: STORE EACH() LOOP Tie::RDBM 28 s 2.7 s Vanilla DBI 15 s 2.0 s DB_File 3 s 1.08 s During stores, there is an approximately 2X penalty compared to straight DBI, and a 15X penalty over using DB_File databases. For the each() loop (which is dominated by reads), the performance is 2-3 times worse than DB_File and much worse than a vanilla SQL statement. I have not investigated the bottlenecks. =head1 TO DO LIST - Store strings, numbers and data structures in separate fields for space and performance efficiency. - Expand data types table to other database engines. - Catch internal changes to data structures and write them into database automatically. =head1 BUGS Yes. =head1 AUTHOR Lincoln Stein, lstein@w3.org =head1 COPYRIGHT Copyright (c) 1998, Lincoln D. Stein This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself. =head1 AVAILABILITY The latest version can be obtained from: http://www.genome.wi.mit.edu/~lstein/Tie-DBM/ =head1 SEE ALSO perl(1), DBI(3), Storable(3) =cut