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Filtering and Grouping: A Comparison of SQL, Linux Scripting, and Ruby


 
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Old 09-11-2008
Filtering and Grouping: A Comparison of SQL, Linux Scripting, and Ruby

Learn some of the transferable concepts common to Oracle SQL, Linux commands, and scripting to address problems that involve data sets that need to be grouped, sorted, and filtered.

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SQL::Translator::Parser::DBI(3pm)			User Contributed Perl Documentation			 SQL::Translator::Parser::DBI(3pm)

NAME
SQL::Translator::Parser::DBI - "parser" for DBI handles SYNOPSIS
use DBI; use SQL::Translator; my $dbh = DBI->connect('dsn', 'user', 'pass', { RaiseError => 1, FetchHashKeyName => 'NAME_lc', } ); my $translator = SQL::Translator->new( parser => 'DBI', dbh => $dbh, ); Or: use SQL::Translator; my $translator = SQL::Translator->new( parser => 'DBI', parser_args => { dsn => 'dbi:mysql:FOO', db_user => 'guest', db_password => 'password', } ); DESCRIPTION
This parser accepts an open database handle (or the arguments to create one) and queries the database directly for the information. The following are acceptable arguments: o dbh An open DBI database handle. NB: Be sure to create the database with the "FetchHashKeyName => 'NAME_lc'" option as all the DBI parsers expect lowercased column names. o dsn The DSN to use for connecting to a database. o db_user The user name to use for connecting to a database. o db_password The password to use for connecting to a database. There is no need to specify which type of database you are querying as this is determined automatically by inspecting $dbh->{'Driver'}{'Name'}. If a parser exists for your database, it will be used automatically; if not, the code will fail automatically (and you can write the parser and contribute it to the project!). Currently parsers exist for the following databases: o MySQL o SQLite o Sybase o PostgreSQL (still experimental) Most of these parsers are able to query the database directly for the structure rather than parsing a text file. For large schemas, this is probably orders of magnitude faster than traditional parsing (which uses Parse::RecDescent, an amazing module but really quite slow). Though no Oracle parser currently exists, it would be fairly easy to query an Oracle database directly by using DDL::Oracle to generate a DDL for the schema and then using the normal Oracle parser on this. Perhaps future versions of SQL::Translator will include the ability to query Oracle directly and skip the parsing of a text file, too. AUTHOR
Ken Y. Clark <kclark@cpan.org>. SEE ALSO
DBI, SQL::Translator. perl v5.14.2 2012-05-01 SQL::Translator::Parser::DBI(3pm)