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The JDBC API has been through several major revisions since its original introduction. JDBC 1.0 provided the basic core of data access functionality, including a driver manager to arbitrate connections to multiple DBMS s, connection management to access individual databases, statement management to send SQL commands to the DBMS, and result set management to provide Java access to the query results. The JDBC 2.0 API and its incremental versions extended JDBC 1.0, and divided the functionality into a Core API and Extensions API. The 2.0 version added:
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I Batch operations. A Java program can pass many rows of data to be inserted or updated via a single API call, improving performance and efficiency of bulk operations. I Scrollable result sets. Like the scrollable cursors provided in other APIs, this new capability permitted both forward and backward motion through query results.
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I Updateable result sets. A Java program can update the database by updating a specific row of query results or inserting a new row through the results. I Connection pooling. Connections to the database can be shared across Java programs, reducing the overhead of frequent connecting and disconnecting. I Distributed transactions. The API provides the capability to synchronize updates across multiple databases, with all or nothing transactions that span database boundaries. I Data sources. A new type of object encapsulates the details of a database connection, reducing the need for an application programmer to understand connection specifics. I Rowsets. An abstraction of query results, rowsets allow query results processing even when a program is disconnected from the source database and later resynchronization. I Java Naming & Directory Interface (JNDI) support. Databases and drivers can be named and cataloged in a network directory, and accessed via those directory entries. The JDBC 3.0 API is a relatively new version of JDBC. It was finalized and formally announced by Sun in February 2002, and packaged as part of Java2 Standard Edition (J2SE) 1.4. New capabilities introduced in the 3.0 version include: I Object-relational SQL extensions. The API adds support for abstract data types and the associated capabilities that were added in the SQL:1999 standard. I Savepoints. The API allows a partial rollback to a specifically marked savepoint partway through a transaction. I Cursor preservation. API options allow cursors to remain open across transactions. I Prepared statement metadata. Programs can determine information about prepared statements, such as the number and data types of parameters and of query results columns.
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JDBC Implementations and Driver Types
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JDBC assumes a driver architecture like that provided by the ODBC standard, on which it is broadly based. Figure 19-25 shows the main building blocks. A Java program connects to the JDBC driver manager via the JDBC API. The JDBC system software is responsible for loading one or more JDBC drivers, typically on demand from Java programs that request them. Conceptually, each driver provides access to one particular DBMS brand, making whatever brand-specific API calls and sending the SQL statements needed to carry out the JDBC request. The JDBC software is delivered as a Java package, which is imported into a Java program that wants to use JDBC.
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Figure 19-25.
JDBC architecture building blocks
The JDBC specification does not deal with the specific details of how a JDBC driver is implemented. However, since the introduction of JDBC, developers have tended to characterize JDBC drivers into four driver types. The type descriptions assume a client/server connection from the JDBC API (on the client system) to a database server. While this is a common enterprise deployment architecture, it s worth noting that JDBC is used to access local databases on systems as small as handheld devices; in this context, the driver types have less meaning. The driver types differ in how they translate JDBC calls (method invocations) into specific actions against the DBMS. A Type 1 driver is also called a JDBC/ODBC bridge, shown in Figure 19-26. The driver translates JDBC calls into a vendor-neutral API, which in practice is always ODBC. The request passes to a specific ODBC driver for the target DBMS. (Optionally, the ODBC driver manager may be eliminated, since the ODBC API to the driver manager is the same as the API to the driver itself.) Ultimately, the ODBC driver calls the DBMS proprietary API. If the database is on a local system, the DBMS carries out the request. If it s on a remote (server) system, the DBMS code on the client is a network access stub, which translates the request into a network message (proprietary to the DBMS) and sends it to the DBMS server.
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