Castor JDO - An introduction
What is Castor JDO
What is Castor JDO
Castor JDO is an Object-Relational Mapping and Data-Binding Framework, which is written in 100% pure Java[tm]. Castor can map relational database data into Java Data Object based on user-defined mapping schema. In the other point-of-view, it provides java data objects a persistence layer.
It frees programmer from dealing with database directly and replacing the entire burden of composing updating the database. Proper SQL statements are automatically generated for loading, updating, creating and deleting. Changes to objects in transaction are automatically done to data source at commit time. Thus programmer can stay in pure-Java without remember all the details in the backing database, after the creation of database tables and the mapping schema. The separation of persistence and programming logic also enable much clearer object-oriented design, which is important in larger projects.
JDO is transactional. Data objects loaded in Castor are properly locked and isolated from other transactions. Castor supports full 2-phase commit via xa.Synchronzation. Castor supports several locking modes, including "shared", "exclusive", "database locked", and "read-only".
In addition, Castor supports "long transactions", whichs allow objects to be read in one transaction, modified, and then committed in a second transaction, with built-in dirty-checking to prevent data that has been changed since the initial transaction from being overwritten.
Through automatic dirty-checking and deadlock detection, Castor can be used to ensure data integrity and reduce unnecessary database updates.
A subset of OQL, defined in the Object Management Group (OMG) 3.0 Object Query Language Specification, is supported for interacting with the database. OQL is similar to SQL, though operations are performed directly on Java objects instead of database tables, making the language more appropriate for use within a Java-based application.
Castor implements a data cache to reduce database accesses, providing several alternative LRU-based caching strategies.
Castor supports different cardinalities of relationship, including one-to-one, one-to-many and many-to-many. It also supports both object and database record inheritance. It distinguishes between related (i.e. association) and dependent (i.e. aggregation) relationships during an object's life cycle, automatically creating and deleting dependent objects at appropriate times in the independent object's life cycle.
Multiple-column primary keys, and a variety of key generators are supported.
Castor automatically manages persistence for objects that contain Java collection types, including Vector, Hashtable, Collection, Set, and Map. Lazy loading (of collections as well as simple 1:1 relations) is implemented to reduce unnecessary database loading. Lazy loading can be turned on or off for each individual field (of any supported collection type for 1-to-many and many-to-many relations).
Other features include a type converter for all Java primitive types (see the info on supportedtypes).
No pre-processor (aka pre-compiler), class enhancer (bytecodes modification) is needed or used for data-binding and object persistence.
Castor JDO works in an application that uses multiple ClassLoaders, making it possible to use in an EJB container or servlet, for example. A Castor-defined callback interface, "Persistent", can be implemented if the objects wants to be notified on Castor events: jdoLoad(), jdoCreate(), jdoRemove() and jdoTransient(). This makes it possible to create user-defined actions to take at various times in an object's life cycle.
The Java-XML Data-Binding Framework (Castor XML) has been merged with Castor JDO for users who need both O/R Mapping and Java-XML Data-Binding together.
The following relational databases are supported:
Database support includes Oracle 8.1.x and different versions of Sybase Enterprise and Anywhere. Users can implement the Driver interface to adapt Castor to the differences in SQL syntax supported by different relational DBMS's, as long as the DBMS supports JDBC 2.0, multiple ResultSet, and transactions. Thanks to many individual open source contributors, drivers for different database are available.