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DBI::SQL::Nano(3)     User Contributed Perl Documentation    DBI::SQL::Nano(3)



NAME
       DBI::SQL::Nano - a very tiny SQL engine

SYNOPSIS
        BEGIN { $ENV{DBI_SQL_NANO}=1 } # forces use of Nano rather than SQL::Statement
        use DBI::SQL::Nano;
        use Data::Dumper;
        my $stmt = DBI::SQL::Nano::Statement->new(
            "SELECT bar,baz FROM foo WHERE qux = 1"
        ) or die "Couldn't parse";
        print Dumper $stmt;

DESCRIPTION
       DBI::SQL::Nano is meant as a *very* minimal SQL engine for use in situations where SQL::Statement is not avail-
       able.  In most situations you are better off installing SQL::Statement although DBI::SQL::Nano may be faster
       for some very simple tasks.

       DBI::SQL::Nano, like SQL::Statement is primarily intended to provide a SQL engine for use with some pure perl
       DBDs including DBD::DBM, DBD::CSV, DBD::AnyData, and DBD::Excel.  It isn't of much use in and of itself.  You
       can dump out the structure of a parsed SQL statement, but that's about it.

USAGE
       Setting the DBI_SQL_NANO flag

       By default, when a DBD uses DBI::SQL::Nano, the module will look to see if SQL::Statement is installed.  If it
       is, SQL::Statement objects are used.  If SQL::Statement is not available, DBI::SQL::Nano objects are used.

       In some cases, you may wish to use DBI::SQL::Nano objects even if SQL::Statement is available.  To force usage
       of DBI::SQL::Nano objects regardless of the availability of SQL::Statement, set the environment variable
       DBI_SQL_NANO to 1.

       You can set the environment variable in your shell prior to running your script (with SET or EXPORT or what-
       ever), or else you can set it in your script by putting this at the top of the script:

        BEGIN { $ENV{DBI_SQL_NANO} = 1 }

       Supported SQL syntax

        Here's a pseudo-BNF.  Square brackets [] indicate optional items;
        Angle brackets <> indicate items defined elsewhere in the BNF.

         statement ::=
             DROP TABLE [IF EXISTS] <table_name>
           | CREATE TABLE <table_name> <col_def_list>
           | INSERT INTO <table_name> [<insert_col_list>] VALUES <val_list>
           | DELETE FROM <table_name> [<where_clause>]
           | UPDATE <table_name> SET <set_clause> <where_clause>
           | SELECT <select_col_list> FROM <table_name> [<where_clause>]
                                                        [<order_clause>]

         the optional IF EXISTS clause ::=
           * similar to MySQL - prevents errors when trying to drop
             a table that doesn't exist

         identifiers ::=
           * table and column names should be valid SQL identifiers
           * especially avoid using spaces and commas in identifiers
           * note: there is no error checking for invalid names, some
             will be accepted, others will cause parse failures

         table_name ::=
           * only one table (no multiple table operations)
           * see identifier for valid table names

         col_def_list ::=
           * a parens delimited, comma-separated list of column names
           * see identifier for valid column names
           * column types and column constraints may be included but are ignored
             e.g. these are all the same:
               (id,phrase)
               (id INT, phrase VARCHAR(40))
               (id INT PRIMARY KEY, phrase VARCHAR(40) NOT NULL)
           * you are *strongly* advised to put in column types even though
             they are ignored ... it increases portability

         insert_col_list ::=
           * a parens delimited, comma-separated list of column names
           * as in standard SQL, this is optional

         select_col_list ::=
           * a comma-separated list of column names
           * or an asterisk denoting all columns

         val_list ::=
           * a parens delimited, comma-separated list of values which can be:
              * placeholders (an unquoted question mark)
              * numbers (unquoted numbers)
              * column names (unquoted strings)
              * nulls (unquoted word NULL)
              * strings (delimited with single quote marks);
              * note: leading and trailing percent mark (%) and underscore (_)
                can be used as wildcards in quoted strings for use with
                the LIKE and CLIKE operators
              * note: escaped single quote marks within strings are not
                supported, neither are embedded commas, use placeholders instead

         set_clause ::=
           * a comma-separated list of column = value pairs
           * see val_list for acceptable value formats

         where_clause ::=
           * a single "column/value <op> column/value" predicate, optionally
             preceded by "NOT"
           * note: multiple predicates combined with ORs or ANDs are not supported
           * see val_list for acceptable value formats
           * op may be one of:
                < > >= <= = <> LIKE CLIKE IS
           * CLIKE is a case insensitive LIKE

         order_clause ::= column_name [ASC|DESC]
           * a single column optional ORDER BY clause is supported
           * as in standard SQL, if neither ASC (ascending) nor
             DESC (descending) is specified, ASC becomes the default

ACKNOWLEDGEMENTS
       Tim Bunce provided the original idea for this module, helped me out of the tangled trap of namespace, and pro-
       vided help and advice all along the way.  Although I wrote it from the ground up, it is based on Jochen Weid-
       mann's orignal design of SQL::Statement, so much of the credit for the API goes to him.

AUTHOR AND COPYRIGHT
       This module is written and maintained by

       Jeff Zucker < jzucker AT cpan.org >

       Copyright (C) 2004 by Jeff Zucker, 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.



perl v5.8.8                       2007-10-10                 DBI::SQL::Nano(3)