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Linux 2.6 - man page for dbi::sql::nano (linux section 3pm)

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

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

	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;

       "DBI::SQL::Nano" is meant as a very minimal SQL engine for use in situations where
       SQL::Statement is not available. 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 is
       not of much use in and of itself.  You can dump out the structure of a parsed SQL
       statement, but that is about it.

   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 whatever), or else you can set it in your script by putting this at the top
       of the script:


   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>]

	 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 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 quotation 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

       DBI::SQL::Nano::Statement operates on exactly one table. This table will be opened by
       inherit from DBI::SQL::Nano::Statement and implements the "open_table" method.

	 sub open_table ($$$$$)
	     return Your::Table->new( \%attributes );

       DBI::SQL::Nano::Statement_ expects a rudimentary interface is implemented by the table
       object, as well as SQL::Statement expects.

	 package Your::Table;

	 use vars qw(@ISA);
	 @ISA = qw(DBI::SQL::Nano::Table);

	 sub drop ($$)	      { ... }
	 sub fetch_row ($$$)  { ... }
	 sub push_row ($$$)   { ... }
	 sub push_names ($$$) { ... }
	 sub truncate ($$)    { ... }
	 sub seek ($$$$)      { ... }

       The base class interfaces are provided by DBI::SQL::Nano::Table_ in case of relying on
       DBI::SQL::Nano or SQL::Eval::Table (see SQL::Eval for details) otherwise.

       There are no known bugs in DBI::SQL::Nano::Statement. If you find a one and want to
       report, please see DBI for how to report bugs.

       DBI::SQL::Nano::Statement is designed to provide a minimal subset for executing SQL

       The most important limitation might be the restriction on one table per statement. This
       implies, that no JOINs are supported and there cannot be any foreign key relation between

       The where clause evaluation of DBI::SQL::Nano::Statement is very slow (SQL::Statement uses
       a precompiled evaluation).

       INSERT can handle only one row per statement. To insert multiple rows, use placeholders as
       explained in DBI.

       The DBI::SQL::Nano parser is very limited and does not support any additional syntax such
       as brackets, comments, functions, aggregations etc.

       In contrast to SQL::Statement, temporary tables are not supported.

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

       This module is originally written by Jeff Zucker < jzucker AT cpan.org >

       This module is currently maintained by Jens Rehsack < jrehsack AT cpan.org >

       Copyright (C) 2010 by Jens Rehsack, all rights reserved.  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

perl v5.12.3				    2010-12-21			      DBI::SQL::Nano(3pm)

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