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/**
 * 

Core DBvolution Classes

*

* DBvolution removes Object/Relational Impedance by using classes to represent * and store the information on each table, and using special datatypes to make * setting query conditions trivial and intuitive. *

* Demonstration application available at * gitHub and * there are more docs and examples at * dbvolution.gregs.co.nz. * *

* To use DBV, first create a connection to your database using the DBDatabase * subclasses in {@link nz.co.gregs.dbvolution.databases}. *

* With the the DBDatabase you can create the DBRow classes required from the * database schema using * {@link nz.co.gregs.dbvolution.generation.DBTableClassGenerator} or you can * write your own. DBDatabase provides methods to create and "drop" table from * the database so you can start from scratch or migrate easily. There are * examples to start from in {@link nz.co.gregs.dbvolution.example}. *

* Using your {@link nz.co.gregs.dbvolution.DBRow DBRow subclasses} you can * create simple queries using * {@link nz.co.gregs.dbvolution.databases.DBDatabase#getDBTable(nz.co.gregs.dbvolution.DBRow) DBTable} * or complex ones using * {@link nz.co.gregs.dbvolution.databases.DBDatabase#getDBQuery(nz.co.gregs.dbvolution.DBRow...) DBQuery}. *

* You can create transactions easily using * {@link nz.co.gregs.dbvolution.DBScript} testing the transaction with * {@link nz.co.gregs.dbvolution.DBScript#test(nz.co.gregs.dbvolution.databases.DBDatabase) test} * or committing the changes with * {@link nz.co.gregs.dbvolution.DBScript#implement(nz.co.gregs.dbvolution.databases.DBDatabase) implement}. *

* DBvolution automatically protects you from common SQL mistakes like Cartesian * Joins or Blank Queries, makes outer joins trivial, helps you collect semantic * knowledge, and makes your application completely portable across databases. *

* I've been writing SQL for 20 years and DBV is better, I hope you like it. *

* Gregory Graham */ package nz.co.gregs.dbvolution;





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