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DBD::DBM(3pm)         User Contributed Perl Documentation         DBD::DBM(3pm)

NAME
       DBD::DBM - a DBI driver for DBM & MLDBM files

SYNOPSIS
        use DBI;
        $dbh = DBI->connect('dbi:DBM:');                    # defaults to SDBM_File
        $dbh = DBI->connect('DBI:DBM(RaiseError=1):');      # defaults to SDBM_File
        $dbh = DBI->connect('dbi:DBM:dbm_type=DB_File');    # defaults to DB_File
        $dbh = DBI->connect('dbi:DBM:dbm_mldbm=Storable');  # MLDBM with SDBM_File

        # or
        $dbh = DBI->connect('dbi:DBM:', undef, undef);
        $dbh = DBI->connect('dbi:DBM:', undef, undef, {
            f_ext              => '.db/r',
            f_dir              => '/path/to/dbfiles/',
            f_lockfile         => '.lck',
            dbm_type           => 'BerkeleyDB',
            dbm_mldbm          => 'FreezeThaw',
            dbm_store_metadata => 1,
            dbm_berkeley_flags => {
                '-Cachesize' => 1000, # set a ::Hash flag
            },
        });

       and other variations on connect() as shown in the DBI docs, DBD::File
       metadata and "Metadata" shown below.

       Use standard DBI prepare, execute, fetch, placeholders, etc., see "QUICK
       START" for an example.

DESCRIPTION
       DBD::DBM is a database management system that works right out of the
       box.  If you have a standard installation of Perl and DBI you can begin
       creating, accessing, and modifying simple database tables without any
       further modules.  You can add other modules (e.g., SQL::Statement,
       DB_File etc) for improved functionality.

       The module uses a DBM file storage layer.  DBM file storage is common on
       many platforms and files can be created with it in many programming
       languages using different APIs. That means, in addition to creating
       files with DBI/SQL, you can also use DBI/SQL to access and modify files
       created by other DBM modules and programs and vice versa. Note that in
       those cases it might be necessary to use a common subset of the provided
       features.

       DBM files are stored in binary format optimized for quick retrieval when
       using a key field.  That optimization can be used advantageously to make
       DBD::DBM SQL operations that use key fields very fast.  There are
       several different "flavors" of DBM which use different storage formats
       supported by perl modules such as SDBM_File and MLDBM.  This module
       supports all of the flavors that perl supports and, when used with
       MLDBM, supports tables with any number of columns and insertion of Perl
       objects into tables.

       DBD::DBM has been tested with the following DBM types: SDBM_File,
       NDBM_File, ODBM_File, GDBM_File, DB_File, BerkeleyDB.  Each type was
       tested both with and without MLDBM and with the Data::Dumper, Storable,
       FreezeThaw, YAML and JSON serializers using the DBI::SQL::Nano or the
       SQL::Statement engines.

QUICK START
       DBD::DBM operates like all other DBD drivers - it's basic syntax and
       operation is specified by DBI.  If you're not familiar with DBI, you
       should start by reading DBI and the documents it points to and then come
       back and read this file.  If you are familiar with DBI, you already know
       most of what you need to know to operate this module.  Just jump in and
       create a test script something like the one shown below.

       You should be aware that there are several options for the SQL engine
       underlying DBD::DBM, see "Supported SQL syntax".  There are also many
       options for DBM support, see especially the section on "Adding multi-
       column support with MLDBM".

       But here's a sample to get you started.

        use DBI;
        my $dbh = DBI->connect('dbi:DBM:');
        $dbh->{RaiseError} = 1;
        for my $sql( split /;\n+/,"
            CREATE TABLE user ( user_name TEXT, phone TEXT );
            INSERT INTO user VALUES ('Fred Bloggs','233-7777');
            INSERT INTO user VALUES ('Sanjay Patel','777-3333');
            INSERT INTO user VALUES ('Junk','xxx-xxxx');
            DELETE FROM user WHERE user_name = 'Junk';
            UPDATE user SET phone = '999-4444' WHERE user_name = 'Sanjay Patel';
            SELECT * FROM user
        "){
            my $sth = $dbh->prepare($sql);
            $sth->execute;
            $sth->dump_results if $sth->{NUM_OF_FIELDS};
        }
        $dbh->disconnect;

USAGE
       This section will explain some usage cases in more detail. To get an
       overview about the available attributes, see "Metadata".

   Specifying Files and Directories
       DBD::DBM will automatically supply an appropriate file extension for the
       type of DBM you are using.  For example, if you use SDBM_File, a table
       called "fruit" will be stored in two files called "fruit.pag" and
       "fruit.dir".  You should never specify the file extensions in your SQL
       statements.

       DBD::DBM recognizes following default extensions for following types:

       .pag/r
           Chosen for dbm_type "SDBM_File", "ODBM_File" and "NDBM_File" when an
           implementation is detected which wraps "-ldbm" for "NDBM_File" (e.g.
           Solaris, AIX, ...).

           For  those types, the ".dir" extension is recognized, too (for being
           deleted when dropping a table).

       .db/r
           Chosen for dbm_type "NDBM_File" when an implementation  is  detected
           which   wraps  BerkeleyDB  1.x  for  "NDBM_File"  (typically  BSD's,
           Darwin).

       "GDBM_File",  "DB_File"  and  "BerkeleyDB"  don't  usually  use  a  file
       extension.

       If  your  DBM  type  uses  an extension other than one of the recognized
       types of extensions, you should set the f_ext attribute to the extension
       and file a bug  report  as  described  in  DBI  with  the  name  of  the
       implementation  and  extension  so we can add it to DBD::DBM.  Thanks in
       advance for that :-).

         $dbh = DBI->connect('dbi:DBM:f_ext=.db');  # .db extension is used
         $dbh = DBI->connect('dbi:DBM:f_ext=');     # no extension is used

         # or
         $dbh->{f_ext}='.db';                       # global setting
         $dbh->{f_meta}->{'qux'}->{f_ext}='.db';    # setting for table 'qux'

       By default files are assumed to be in the current working directory.  To
       use other directories specify the f_dir attribute in either the  connect
       string or by setting the database handle attribute.

       For   example,   this   will   look  for  the  file  /foo/bar/fruit  (or
       /foo/bar/fruit.pag for DBM types that use that extension)

         my $dbh = DBI->connect('dbi:DBM:f_dir=/foo/bar');
         # and this will too:
         my $dbh = DBI->connect('dbi:DBM:');
         $dbh->{f_dir} = '/foo/bar';
         # but this is recommended
         my $dbh = DBI->connect('dbi:DBM:', undef, undef, { f_dir => '/foo/bar' } );

         # now you can do
         my $ary = $dbh->selectall_arrayref(q{ SELECT x FROM fruit });

       You can also use delimited identifiers to specify paths directly in  SQL
       statements.   This looks in the same place as the two examples above but
       without setting f_dir:

          my $dbh = DBI->connect('dbi:DBM:');
          my $ary = $dbh->selectall_arrayref(q{
              SELECT x FROM "/foo/bar/fruit"
          });

       You can also tell DBD::DBM to use a specified path for a specific table:

         $dbh->{dbm_tables}->{f}->{file} = q(/foo/bar/fruit);

       Please be aware that you cannot specify this during connection.

       If you have SQL::Statement installed, you can use table aliases:

          my $dbh = DBI->connect('dbi:DBM:');
          my $ary = $dbh->selectall_arrayref(q{
              SELECT f.x FROM "/foo/bar/fruit" AS f
          });

       See the "GOTCHAS AND WARNINGS" for using DROP on tables.

   Table locking and flock()
       Table locking is accomplished  using  a  lockfile  which  has  the  same
       basename  as  the  table's file but with the file extension '.lck' (or a
       lockfile extension that you supply,  see  below).   This  lock  file  is
       created with the table during a CREATE and removed during a DROP.  Every
       time the table itself is opened, the lockfile is flocked().  For SELECT,
       this  is  a  shared  lock.  For all other operations, it is an exclusive
       lock (except when you  specify  something  different  using  the  f_lock
       attribute).

       Since the locking depends on flock(), it only works on operating systems
       that  support  flock().   In  cases  where  flock()  is not implemented,
       DBD::DBM will simply behave as if the flock() had occurred  although  no
       actual locking will happen.  Read the documentation for flock() for more
       information.

       Even  on those systems that do support flock(), locking is only advisory
       - as is always the case  with  flock().   This  means  that  if  another
       program  tries  to  access  the  table file while DBD::DBM has the table
       locked, that other program will *succeed* at opening unless it  is  also
       using  flock  on  the  '.lck' file.  As a result DBD::DBM's locking only
       really applies to other programs using DBD::DBM or other program written
       to cooperate with DBD::DBM locking.

   Specifying the DBM type
       Each "flavor" of DBM stores its files in  a  different  format  and  has
       different capabilities and limitations. See AnyDBM_File for a comparison
       of DBM types.

       By  default,  DBD::DBM  uses  the  "SDBM_File"  type  of  storage  since
       "SDBM_File" comes with Perl itself. If  you  have  other  types  of  DBM
       storage available, you can use any of them with DBD::DBM. It is strongly
       recommended  to  use  at least "DB_File", because "SDBM_File" has quirks
       and limitations and "ODBM_file", "NDBM_File"  and  "GDBM_File"  are  not
       always available.

       You  can  specify the DBM type using the dbm_type attribute which can be
       set  in  the  connection   string   or   with   "$dbh->{dbm_type}"   and
       "$dbh->{f_meta}->{$table_name}->{type}"  for per-table settings in cases
       where a single script is accessing more than one kind of DBM file.

       In the connection string, just set "dbm_type=TYPENAME" where  "TYPENAME"
       is  any  DBM  type  such as GDBM_File, DB_File, etc. Do not use MLDBM as
       your dbm_type as that is set differently, see below.

        my $dbh=DBI->connect('dbi:DBM:');                # uses the default SDBM_File
        my $dbh=DBI->connect('dbi:DBM:dbm_type=GDBM_File'); # uses the GDBM_File

        # You can also use $dbh->{dbm_type} to set the DBM type for the connection:
        $dbh->{dbm_type} = 'DB_File';    # set the global DBM type
        print $dbh->{dbm_type};          # display the global DBM type

       If you have several tables in your script that use different DBM  types,
       you  can use the $dbh->{dbm_tables} hash to store different settings for
       the various tables.  You can even use this to  perform  joins  on  files
       that have completely different storage mechanisms.

        # sets global default of GDBM_File
        my $dbh->('dbi:DBM:type=GDBM_File');

        # overrides the global setting, but only for the tables called
        # I<foo> and I<bar>
        my $dbh->{f_meta}->{foo}->{dbm_type} = 'DB_File';
        my $dbh->{f_meta}->{bar}->{dbm_type} = 'BerkeleyDB';

        # prints the dbm_type for the table "foo"
        print $dbh->{f_meta}->{foo}->{dbm_type};

       Note  that  you must change the dbm_type of a table before you access it
       for first time.

   Adding multi-column support with MLDBM
       Most of the DBM types only support two columns  and  even  if  it  would
       support  more, DBD::DBM would only use two. However a CPAN module called
       MLDBM overcomes this limitation  by  allowing  more  than  two  columns.
       MLDBM  does this by serializing the data - basically it puts a reference
       to an array into the second column. It can also put almost any  kind  of
       Perl object or even Perl coderefs into columns.

       If  you  want  more  than  two  columns,  you  must  install MLDBM. It's
       available for many platforms and is easy to install.

       MLDBM is by default distributed with three serializers  -  Data::Dumper,
       Storable,  and  FreezeThaw.  Data::Dumper is the default and Storable is
       the fastest. MLDBM can  also  make  use  of  user-defined  serialization
       methods   or   other   serialization   modules   (e.g.   YAML::MLDBM  or
       MLDBM::Serializer::JSON. You select the serializer using  the  dbm_mldbm
       attribute.

       Some examples:

        $dbh=DBI->connect('dbi:DBM:dbm_mldbm=Storable');  # use MLDBM with Storable
        $dbh=DBI->connect(
           'dbi:DBM:dbm_mldbm=MySerializer' # use MLDBM with a user defined module
        );
        $dbh=DBI->connect('dbi::dbm:', undef,
            undef, { dbm_mldbm => 'YAML' }); # use 3rd party serializer
        $dbh->{dbm_mldbm} = 'YAML'; # same as above
        print $dbh->{dbm_mldbm} # show the MLDBM serializer
        $dbh->{f_meta}->{foo}->{dbm_mldbm}='Data::Dumper';   # set Data::Dumper for table "foo"
        print $dbh->{f_meta}->{foo}->{mldbm}; # show serializer for table "foo"

       MLDBM  works  on top of other DBM modules so you can also set a DBM type
       along with setting dbm_mldbm.  The examples above would default to using
       SDBM_File with MLDBM.  If you wanted GDBM_File instead, here's how:

        # uses DB_File with MLDBM and Storable
        $dbh = DBI->connect('dbi:DBM:', undef, undef, {
            dbm_type  => 'DB_File',
            dbm_mldbm => 'Storable',
        });

       SDBM_File, the default dbm_type is quite limited, so if you are going to
       use MLDBM, you should probably use a different type, see AnyDBM_File.

       See below for some "GOTCHAS AND WARNINGS" about MLDBM.

   Support for Berkeley DB
       The Berkeley DB storage type is supported  through  two  different  Perl
       modules  -  DB_File  (which  supports  only  features in old versions of
       Berkeley DB) and BerkeleyDB (which  supports  all  versions).   DBD::DBM
       supports specifying either "DB_File" or "BerkeleyDB" as a dbm_type, with
       or without MLDBM support.

       The  "BerkeleyDB"  dbm_type is experimental and it's interface is likely
       to change.  It currently  defaults  to  BerkeleyDB::Hash  and  does  not
       currently support ::Btree or ::Recno.

       With BerkeleyDB, you can specify initialization flags by setting them in
       your script like this:

        use BerkeleyDB;
        my $env = new BerkeleyDB::Env -Home => $dir;  # and/or other Env flags
        $dbh = DBI->connect('dbi:DBM:', undef, undef, {
            dbm_type  => 'BerkeleyDB',
            dbm_mldbm => 'Storable',
            dbm_berkeley_flags => {
                'DB_CREATE'  => DB_CREATE,  # pass in constants
                'DB_RDONLY'  => DB_RDONLY,  # pass in constants
                '-Cachesize' => 1000,       # set a ::Hash flag
                '-Env'       => $env,       # pass in an environment
            },
        });

       Do  not  set  the  -Flags or -Filename flags as those are determined and
       overwritten by the SQL (e.g. -Flags => DB_RDONLY  is  set  automatically
       when you issue a SELECT statement).

       Time has not permitted us to provide support in this release of DBD::DBM
       for  further  Berkeley  DB  features  such as transactions, concurrency,
       locking, etc. We will be working on these in the future and would  value
       suggestions, patches, etc.

       See DB_File and BerkeleyDB for further details.

   Optimizing the use of key fields
       Most  "flavors"  of  DBM have only two physical columns (but can contain
       multiple logical columns as  explained  above  in  "Adding  multi-column
       support  with MLDBM"). They work similarly to a Perl hash with the first
       column serving as the key. Like a Perl hash, DBM files permit you to  do
       quick  lookups  by specifying the key and thus avoid looping through all
       records (supported by DBI::SQL::Nano only). Also like a Perl  hash,  the
       keys  must  be  unique.  It is impossible to create two records with the
       same key.  To put this more simply and in  SQL  terms,  the  key  column
       functions as the PRIMARY KEY or UNIQUE INDEX.

       In  DBD::DBM,  you  can  take advantage of the speed of keyed lookups by
       using DBI::SQL::Nano and a WHERE clause with a single  equal  comparison
       on  the  key  field.  For  example,  the  following  SQL  statements are
       optimized for keyed lookup:

        CREATE TABLE user ( user_name TEXT, phone TEXT);
        INSERT INTO user VALUES ('Fred Bloggs','233-7777');
        # ... many more inserts
        SELECT phone FROM user WHERE user_name='Fred Bloggs';

       The "user_name" column is the key column since it is the  first  column.
       The  SELECT statement uses the key column in a single equal comparison -
       "user_name='Fred Bloggs'" - so the search  will  find  it  very  quickly
       without  having  to  loop through all the names which were inserted into
       the table.

       In contrast, these searches on the same table are not optimized:

        1. SELECT phone FROM user WHERE user_name < 'Fred';
        2. SELECT user_name FROM user WHERE phone = '233-7777';

       In #1, the operation uses a less-than  (<)  comparison  rather  than  an
       equals  comparison,  so  it will not be optimized for key searching.  In
       #2, the key field "user_name" is not specified in the WHERE clause,  and
       therefore  the  search  will  need  to loop through all rows to find the
       requested row(s).

       Note that the underlying DBM storage needs to loop  over  all  key/value
       pairs  when  the optimized fetch is used. SQL::Statement has a massively
       improved  where  clause  evaluation  which  costs  around  15%  of   the
       evaluation in DBI::SQL::Nano - combined with the loop in the DBM storage
       the speed improvement isn't so impressive.

       Even   if   lookups   are  faster  by  around  50%,  DBI::SQL::Nano  and
       SQL::Statement can benefit from the key field optimizations on  updating
       and  deleting  rows  -  and here the improved where clause evaluation of
       SQL::Statement might beat DBI::SQL::Nano every  time  the  where  clause
       contains not only the key field (or more than one).

   Supported SQL syntax
       DBD::DBM uses a subset of SQL.  The robustness of that subset depends on
       what  other  modules  you have installed. Both options support basic SQL
       operations including CREATE TABLE, DROP TABLE, INSERT,  DELETE,  UPDATE,
       and SELECT.

       Option  #1:  By  default,  this  module  inherits  its  SQL support from
       DBI::SQL::Nano that comes with DBI.  Nano is, as  its  name  implies,  a
       *very*  small  SQL engine.  Although limited in scope, it is faster than
       option #2 for some operations (especially single primary  key  lookups).
       See  DBI::SQL::Nano  for  a  description  of  the  SQL  it  supports and
       comparisons of it with option #2.

       Option #2: If you install the  pure  Perl  CPAN  module  SQL::Statement,
       DBD::DBM  will  use  it  instead  of  Nano.  This adds support for table
       aliases, functions, joins, and  much  more.   If  you're  going  to  use
       DBD::DBM  for  anything  other  than very simple tables and queries, you
       should install SQL::Statement.  You don't have  to  change  DBD::DBM  or
       your  scripts in any way, simply installing SQL::Statement will give you
       the more robust SQL capabilities without breaking  scripts  written  for
       DBI::SQL::Nano.   See  SQL::Statement  for  a  description of the SQL it
       supports.

       To find out which SQL module is working in a given script, you  can  use
       the  dbm_versions()  method  or,  if  you don't need the full output and
       version numbers, just do this:

        print $dbh->{sql_handler}, "\n";

       That will print out either "SQL::Statement" or "DBI::SQL::Nano".

       Baring the section about optimized access to the DBM  storage  in  mind,
       comparing the benefits of both engines:

         # DBI::SQL::Nano is faster
         $sth = $dbh->prepare( "update foo set value='new' where key=15" );
         $sth->execute();
         $sth = $dbh->prepare( "delete from foo where key=27" );
         $sth->execute();
         $sth = $dbh->prepare( "select * from foo where key='abc'" );

         # SQL::Statement might faster (depending on DB size)
         $sth = $dbh->prepare( "update foo set value='new' where key=?" );
         $sth->execute(15);
         $sth = $dbh->prepare( "update foo set value=? where key=15" );
         $sth->execute('new');
         $sth = $dbh->prepare( "delete from foo where key=?" );
         $sth->execute(27);

         # SQL::Statement is faster
         $sth = $dbh->prepare( "update foo set value='new' where value='old'" );
         $sth->execute();
         # must be expressed using "where key = 15 or key = 27 or key = 42 or key = 'abc'"
         # in DBI::SQL::Nano
         $sth = $dbh->prepare( "delete from foo where key in (15,27,42,'abc')" );
         $sth->execute();
         # must be expressed using "where key > 10 and key < 90" in DBI::SQL::Nano
         $sth = $dbh->prepare( "select * from foo where key between (10,90)" );
         $sth->execute();

         # only SQL::Statement can handle
         $sth->prepare( "select * from foo,bar where foo.name = bar.name" );
         $sth->execute();
         $sth->prepare( "insert into foo values ( 1, 'foo' ), ( 2, 'bar' )" );
         $sth->execute();

   Specifying Column Names
       DBM  files  don't  have a standard way to store column names.   DBD::DBM
       gets around this issue with a  DBD::DBM  specific  way  of  storing  the
       column names.  If you are working only with DBD::DBM and not using files
       created  by  or  accessed  with  other DBM programs, you can ignore this
       section.

       DBD::DBM stores column names as a row in the file with the key _metadata
       \0.  So this code

        my $dbh = DBI->connect('dbi:DBM:');
        $dbh->do("CREATE TABLE baz (foo CHAR(10), bar INTEGER)");
        $dbh->do("INSERT INTO baz (foo,bar) VALUES ('zippy',1)");

       Will create a file that has a structure something like this:

         _metadata \0 | <dbd_metadata><schema></schema><col_names>foo,bar</col_names></dbd_metadata>
         zippy        | 1

       The next time you access this table with DBD::DBM,  it  will  treat  the
       _metadata  \0  row  as  a  header  rather than as data and will pull the
       column names from there.  However, if you access the file with something
       other than DBD::DBM, the row will be treated as a regular data row.

       If you do not want the column names stored as a data row  in  the  table
       you can set the dbm_store_metadata attribute to 0.

        my $dbh = DBI->connect('dbi:DBM:', undef, undef, { dbm_store_metadata => 0 });

        # or
        $dbh->{dbm_store_metadata} = 0;

        # or for per-table setting
        $dbh->{f_meta}->{qux}->{dbm_store_metadata} = 0;

       By default, DBD::DBM assumes that you have two columns named "k" and "v"
       (short for "key" and "value").  So if you have dbm_store_metadata set to
       1  and  you  want to use alternate column names, you need to specify the
       column names like this:

        my $dbh = DBI->connect('dbi:DBM:', undef, undef, {
            dbm_store_metadata => 0,
            dbm_cols => [ qw(foo bar) ],
        });

        # or
        $dbh->{dbm_store_metadata} = 0;
        $dbh->{dbm_cols}           = 'foo,bar';

        # or to set the column names on per-table basis, do this:
        # sets the column names only for table "qux"
        $dbh->{f_meta}->{qux}->{dbm_store_metadata} = 0;
        $dbh->{f_meta}->{qux}->{col_names}          = [qw(foo bar)];

       If you have a file that was created by another DBM  program  or  created
       with  dbm_store_metadata set to zero and you want to convert it to using
       DBD::DBM's column name storage, just use one of  the  methods  above  to
       name  the  columns  but *without* specifying dbm_store_metadata as zero.
       You only have to do that once  -  thereafter  you  can  get  by  without
       setting  either dbm_store_metadata or setting dbm_cols because the names
       will be stored in the file.

DBI database handle attributes
   Metadata
       Statement handle ($sth) attributes and methods

       Most statement handle attributes such as NAME, NUM_OF_FIELDS,  etc.  are
       available  only  after an execute.  The same is true of $sth->rows which
       is available after the execute but does not require a fetch.

       Driver handle ($dbh) attributes

       It  is  not  supported  anymore  to  use  dbm-attributes   without   the
       dbm_-prefix.   Currently,  if  an DBD::DBM private attribute is accessed
       without an underscore in it's name, dbm_ is prepended to that  attribute
       and  it's processed further. If the resulting attribute name is invalid,
       an error is thrown.

       dbm_cols

       Contains a comma separated list of column names or an array reference to
       the column names.

       dbm_type

       Contains the DBM  storage  type.  Currently  known  supported  type  are
       "ODBM_File",   "NDBM_File",   "SDBM_File",  "GDBM_File",  "DB_File"  and
       "BerkeleyDB". It is not recommended to use one of the first three  types
       - even if "SDBM_File" is the most commonly available dbm_type.

       dbm_mldbm

       Contains  the  serializer  for  DBM storage (value column). Requires the
       CPAN module MLDBM installed.  Currently known supported serializers are:

       Data::Dumper
               Default serializer. Deployed with Perl core.

       Storable
               Faster serializer. Deployed with Perl core.

       FreezeThaw
               Pure Perl serializer, requires FreezeThaw to be installed.

       YAML    Portable serializer (between languages but  not  architectures).
               Requires YAML::MLDBM installation.

       JSON    Portable,   fast   serializer   (between   languages   but   not
               architectures).  Requires MLDBM::Serializer::JSON installation.

       dbm_store_metadata

       Boolean value which determines if the metadata in DBM is stored or not.

       dbm_berkeley_flags

       Hash reference with additional flags for BerkeleyDB::Hash instantiation.

       dbm_version

       Readonly attribute containing the version of DBD::DBM.

       f_meta

       In addition to the attributes DBD::File recognizes, DBD::DBM knows about
       the  (public)  attributes  "col_names"  (Note   not   dbm_cols   here!),
       "dbm_type",  "dbm_mldbm", "dbm_store_metadata" and "dbm_berkeley_flags".
       As  in  DBD::File,  there  are  undocumented,  internal  attributes   in
       DBD::DBM.   Be  very  careful when modifying attributes you do not know;
       the consequence might a destroyed or corrupted table.

       dbm_tables

       This attribute provides restricted access to the table  meta  data.  See
       f_meta and "f_meta" in DBD::File for attribute details.

       dbm_tables  is  a  tied  hash providing the internal table names as keys
       (accessing unknown tables might create an entry) and their meta data  as
       another   tied  hash.  The  table  meta  storage  is  obtained  via  the
       "get_table_meta"   method   from   the   table    implementation    (see
       DBD::File::Developers).  Attribute  setting and getting within the table
       meta  data  is  handled  via  the  methods   "set_table_meta_attr"   and
       "get_table_meta_attr".

       Following attributes are no longer handled by DBD::DBM:

       dbm_ext

       This attribute is silently mapped to DBD::File's attribute f_ext.  Later
       versions  of DBI might show a depreciated warning when this attribute is
       used and eventually it will be removed.

       dbm_lockfile

       This attribute is silently mapped to DBD::File's  attribute  f_lockfile.
       Later  versions  of  DBI  might  show  a  depreciated  warning when this
       attribute is used and eventually it will be removed.

DBI database handle methods
   The $dbh->dbm_versions() method
       The private method  dbm_versions()  returns  a  summary  of  what  other
       modules  are  being  used  at any given time.  DBD::DBM can work with or
       without many other  modules  -  it  can  use  either  SQL::Statement  or
       DBI::SQL::Nano   as   its  SQL  engine,  it  can  be  run  with  DBI  or
       DBI::PurePerl, it can use many kinds of DBM modules, and many  kinds  of
       serializers  when run with MLDBM.  The dbm_versions() method reports all
       of that and more.

         print $dbh->dbm_versions;               # displays global settings
         print $dbh->dbm_versions($table_name);  # displays per table settings

       An important thing to note about this method is that when it called with
       no arguments, it displays the *global* settings.  If you override  these
       by  setting  per-table  attributes,  these  will not be shown unless you
       specify a table name as an argument to the method call.

   Storing Objects
       If you are using MLDBM, you can use DBD::DBM to take  advantage  of  its
       serializing  abilities  to  serialize  any  Perl  object  that MLDBM can
       handle.  To store objects in columns, you should (but  don't  absolutely
       need  to)  declare  it as a column of type BLOB (the type is *currently*
       ignored by the SQL engine, but it's good form).

EXTENSIBILITY
       "SQL::Statement"
               Improved SQL engine compared to the  built-in  DBI::SQL::Nano  -
               see "Supported SQL syntax".

       "DB_File"
               Berkeley  DB  version  1.  This database library is available on
               many systems without additional installation  and  most  systems
               are supported.

       "GDBM_File"
               Simple dbm type (comparable to "DB_File") under the GNU license.
               Typically not available (or requires extra installation) on non-
               GNU operating systems.

       "BerkeleyDB"
               Berkeley  DB  version  up  to  v4  (and maybe higher) - requires
               additional installation but is easier than GDBM_File on  non-GNU
               systems.

               db4  comes with a many tools which allow repairing and migrating
               databases.  This is the recommended dbm type for production use.

       "MLDBM" Serializer wrapper to support  more  than  one  column  for  the
               files.     Comes    with   serializers   using   "Data::Dumper",
               "FreezeThaw" and "Storable".

       "YAML::MLDBM"
               Additional serializer for MLDBM. YAML is very  portable  between
               languages.

       "MLDBM::Serializer::JSON"
               Additional  serializer  for MLDBM. JSON is very portable between
               languages, probably more than YAML.

GOTCHAS AND WARNINGS
       Using the SQL DROP command will  remove  any  file  that  has  the  name
       specified  in  the  command with either '.pag' and '.dir', '.db' or your
       {f_ext} appended to it.  So this be dangerous if you  aren't  sure  what
       file it refers to:

        $dbh->do(qq{DROP TABLE "/path/to/any/file"});

       Each  DBM  type has limitations.  SDBM_File, for example, can only store
       values of less than 1,000 characters.  *You* as the script  author  must
       ensure that you don't exceed those bounds.  If you try to insert a value
       that  is  larger  than DBM can store, the results will be unpredictable.
       See the documentation for whatever DBM you are using for details.

       Different DBM implementations return records in different orders.   That
       means that you should not rely on the order of records unless you use an
       ORDER BY statement.

       DBM data files are platform-specific.  To move them from one platform to
       another,  you'll  need  to  do something along the lines of dumping your
       data to CSV on platform #1 and then dumping from CSV to DBM on  platform
       #2.   DBD::AnyData  and  DBD::CSV can help with that.  There may also be
       DBM conversion tools for your platforms which would probably be quicker.

       When using MLDBM, there is a very powerful serializer -  it  will  allow
       you  to  store Perl code or objects in database columns.  When these get
       de-serialized, they may be eval'ed - in other words MLDBM  (or  actually
       Data::Dumper  when used by MLDBM) may take the values and try to execute
       them in Perl.  Obviously, this can present dangers, so  if  you  do  not
       know  what  is  in  a  file,  be careful before you access it with MLDBM
       turned on!

       See the entire section on "Table locking and flock()"  for  gotchas  and
       warnings about the use of flock().

BUGS AND LIMITATIONS
       This  module  uses  hash  interfaces of two column file databases. While
       none of supported SQL engines have support for  indices,  the  following
       statements  really  do  the same (even if they mean something completely
       different) for each dbm type which lacks "EXISTS" support:

         $sth->do( "insert into foo values (1, 'hello')" );

         # this statement does ...
         $sth->do( "update foo set v='world' where k=1" );
         # ... the same as this statement
         $sth->do( "insert into foo values (1, 'world')" );

       This is considered to be a bug and might change in a future release.

       Known affected dbm types are  "ODBM_File"  and  "NDBM_File".  We  highly
       recommended you use a more modern dbm type such as "DB_File".

GETTING HELP, MAKING SUGGESTIONS, AND REPORTING BUGS
       If  you  need help installing or using DBD::DBM, please write to the DBI
       users    mailing    list    at    dbi-users@perl.org    or    to     the
       comp.lang.perl.modules  newsgroup  on  usenet.   I  cannot always answer
       every question quickly but there are many on the mailing list or in  the
       newsgroup who can.

       DBD  developers for DBD's which rely on DBD::File or DBD::DBM or use one
       of them as an example are suggested to join the DBI  developers  mailing
       list at dbi-dev@perl.org and strongly encouraged to join our IRC channel
       at <irc://irc.perl.org/dbi>.

       If  you  have  suggestions,  ideas  for improvements, or bugs to report,
       please report a bug as described in DBI. Do not mail any of the  authors
       directly, you might not get an answer.

       When     reporting     bugs,     please     send     the    output    of
       $dbh->dbm_versions($table) for a table that  exhibits  the  bug  and  as
       small  a  sample as you can make of the code that produces the bug.  And
       of course, patches are welcome, too :-).

       If you need enhancements quickly, you  can  get  commercial  support  as
       described  at  <http://dbi.perl.org/support/>  or  you  can contact Jens
       Rehsack at rehsack@cpan.org for commercial support in Germany.

       Please don't bother Jochen Wiedmann or Jeff Zucker for  support  -  they
       handed over further maintenance to H.Merijn Brand and Jens Rehsack.

ACKNOWLEDGEMENTS
       Many,  many  thanks  to Tim Bunce for prodding me to write this, and for
       copious, wise, and patient suggestions all along the way. (Jeff Zucker)

       I send my thanks and acknowledgements to H.Merijn Brand for his  initial
       refactoring   of  DBD::File  and  his  strong  and  ongoing  support  of
       SQL::Statement. Without him, the current progress would never have  been
       made.   And  I  have  to  name  Martin  J.  Evans  for  each  laugh (and
       correction) of all those funny word creations I (as non-native  speaker)
       made  to  the documentation. And - of course - I have to thank all those
       unnamed contributors and testers from the Perl community. (Jens Rehsack)

AUTHOR AND COPYRIGHT
       This module is written by Jeff Zucker < jzucker AT cpan.org >, who  also
       maintained  it  till  2007. After that, in 2010, Jens Rehsack & H.Merijn
       Brand took over maintenance.

        Copyright (c) 2004 by Jeff Zucker, all rights reserved.
        Copyright (c) 2010-2013 by Jens Rehsack & H.Merijn Brand, all rights reserved.

       You may freely distribute and/or modify this module under the  terms  of
       either  the GNU General Public License (GPL) or the Artistic License, as
       specified in the Perl README file.

SEE ALSO
       DBI, SQL::Statement, DBI::SQL::Nano, AnyDBM_File,  DB_File,  BerkeleyDB,
       MLDBM, YAML::MLDBM, MLDBM::Serializer::JSON

perl v5.40.0                       2025-02-01                     DBD::DBM(3pm)

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