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DBIx-FixtureLoader-0.20
River stage one • 2 direct dependents • 2 total dependents
/ DBIx::FixtureLoader

NAME

DBIx::FixtureLoader - Loading fixtures and inserting to your database

SYNOPSIS

use DBI;
use DBIx::FixtureLoader;

my $dbh = DBI->connect(...);
my $loader = DBIx::FixtureLoader->new(dbh => $dbh);
$loader->load_fixture('item.csv');

DESCRIPTION

DBIx::FixtureLoader is to load fixture data and insert to your database.

INTEFACE

Constructor

$loader = DBIx::FixtureLoader->new(%option)

new is Constructor method. Various options may be set in %option, which affect the behaviour of the object (Type and defaults in parentheses):

dbh (DBI::db)

Required. Database handler.

bulk_insert (Bool)

Using bulk_insert or not. Default value depends on your database.

update (Bool, Default: false)

Using INSERT ON DUPLICATE or not. It only works on MySQL.

ignore (Bool, Default: false)

Using INSERT IGNORE or not. This option is exclusive with update.

delete (Bool, Default: false)

DELETE all data from table before inserting or not.

csv_option (HashRef, Default: +{})

Specifying Text::CSV's option. binary and blank_is_undef are automatically set.

skip_null_column (Bool, Default: false)

If true, null data is not to be inserted or updated explicitly. It it for using default value.

NOTE: If this option is true, data can't be overwritten by null value.

Methods

$loader->load_fixture($file_or_data:(Str|HashRef|ArrayRef), [%option])

Loading fixture and inserting to your database. Table name and file format is guessed from file name. For example, "item.csv" contains data of "item" table and format is "CSV".

In most cases %option is not needed. Available keys of %option are as follows.

table:Str

table name of database.

format:Str

data format. "CSV", "YAML" and "JSON" are available.

update:Bool

Using ON DUPLICATE KEY UPDATE or not. Default value depends on object setting.

ignore:Bool

Using INSERT IGNORE or not.

delete:Bool

DELETE all data from table before inserting or not.

File Name and Data Format

file name

Data format is guessed from extension. Table name is guessed from basename. Leading alphabets, underscores and numbers are considered table name. So, "user_item-2.csv" is considered CSV format and containing data of "user_item" table.

data format

"CSV", "YAML" and "JSON" are parsable. CSV file must have header line for determining column names.

Datas in "YAML" or "JSON" must be ArrayRef or HashRef containing HashRefs. Each HashRef is the data of database record and keys of HashRef is matching to column names of the table.

LICENSE

Copyright (C) Masayuki Matsuki.

This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.

AUTHOR

Masayuki Matsuki <y.songmu@gmail.com>