Provided by: libdbi-perl_1.647-1_amd64 bug

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)