This software summary describes a table within a data source which holds structured data in a collection of rows and columns. It is a fundamental element of database management systems used to organize, store, and retrieve data efficiently.
If you're looking for a tool to help you work with tables in a data source, look no further than DBIx::SQLEngine::Schema::Table. This powerful solution makes it easy to manage your tables, and it's easy to use.
One of the key features of DBIx::SQLEngine::Schema::Table is its ability to work seamlessly with DBIx::SQLEngine. Once you have a SQLEngine set up, you can use it to access specific tables in your data source. Simply call the table() method on the SQLEngine object and pass in the name of the table you want to work with.
Once you have a Schema::Table object set up for a particular table, you're ready to start making queries. You can use fetch_select() to retrieve data from the table based on specific criteria, and do_insert(), do_update() and do_delete() to perform common CRUD operations.
Furthermore, DBIx::SQLEngine::Schema::Table offers a range of other useful features. For example, you can use fetch_row() to retrieve a specific row from the table based on its primary key. Meanwhile, the insert_row(), update_row() and delete_row() methods make it easy to manipulate entire rows using simple hash-refs.
Another helpful feature of DBIx::SQLEngine::Schema::Table is its ability to automatically retrieve and cache information about the columns in a given table. This makes it easy to work with column names and data types without having to manually load them every time you want to execute a query.
In summary, if you're looking for a powerful and flexible tool for working with tables in a data source, give DBIx::SQLEngine::Schema::Table a try. Its range of useful features and simple, intuitive API make it a valuable addition to any developer's toolkit.
One of the key features of DBIx::SQLEngine::Schema::Table is its ability to work seamlessly with DBIx::SQLEngine. Once you have a SQLEngine set up, you can use it to access specific tables in your data source. Simply call the table() method on the SQLEngine object and pass in the name of the table you want to work with.
Once you have a Schema::Table object set up for a particular table, you're ready to start making queries. You can use fetch_select() to retrieve data from the table based on specific criteria, and do_insert(), do_update() and do_delete() to perform common CRUD operations.
Furthermore, DBIx::SQLEngine::Schema::Table offers a range of other useful features. For example, you can use fetch_row() to retrieve a specific row from the table based on its primary key. Meanwhile, the insert_row(), update_row() and delete_row() methods make it easy to manipulate entire rows using simple hash-refs.
Another helpful feature of DBIx::SQLEngine::Schema::Table is its ability to automatically retrieve and cache information about the columns in a given table. This makes it easy to work with column names and data types without having to manually load them every time you want to execute a query.
In summary, if you're looking for a powerful and flexible tool for working with tables in a data source, give DBIx::SQLEngine::Schema::Table a try. Its range of useful features and simple, intuitive API make it a valuable addition to any developer's toolkit.
What's New
Version 0.93: N/A