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19:
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SQL APIs
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Function getParameterClassName() getParameterCount() getParameterMode() getParameterType() getParameterTypeName() getPrecision() getScale() isNullable() isSigned()
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Description Returns name of the class (data type) for specified parameter Returns number of parameters in the statement Returns mode (IN, OUT, INOUT) of parameter Returns SQL data type of specified parameter Returns DBMS data type of specified parameter Returns precision of specified parameter Returns scale of specified parameter Determines whether the specified parameter is nullable Determines whether the specified parameter is a signed number
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TABLE 19-24
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JDBC ParameterMetaData Methods
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Finally, metadata information about the parameters used in a prepared SQL statement or a prepared call to a stored procedure can also be useful. The getParameterMetaData() method that retrieves this information is inherited from the CallableStatement object since it extends the PreparedStatement object. The method returns a ParameterMetaData object, described in Table 19-24. Invoking the methods of this object provides information about how many parameters are used in the statement, their data types, whether each parameter is an input, output, or input/output parameter, and similar information.
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JDBC 2.0 and JDBC 3.0 introduced several capabilities that extend the basic database access functionality of JDBC. JDBC data sources, first introduced in JDBC 2.0, provide a higher-level method for finding available drivers and databases and connecting to them. They mask the details of making a connection from the Java application programmer. Basically, a data source is identified with some external directory or catalog that is able to translate logical entity names into specific details. Using a data source, the application programmer can specify a target database by an abstract name, and have the directory in conjunction with the JDBC software handle the details of connections. JDBC rowsets are another advanced concept enhanced and extended in the JDBC revisions. A rowset extends the concept of a JDBC result set, which you will recall represents a set of query results. Beyond the query results themselves, a rowset encapsulates information about the underlying source database, the connection to the database, its user name and password, and so on. The rowset retains its identity independent of an active connection to the database. Thus, a rowset may exist in a disconnected state, and it can be used to reestablish a connection to the database. When connected to the database, the rowset can contain query results like a result set. Rowsets have several other characteristics and capabilities. A rowset meets the requirement for a JavaBeans component, and when connected to a database, provides a way to make a result set look like an Enterprise Java Bean (EJB). Rowsets hold tabular row/column query results,
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PART V
Part V:
Programming with SQL
and those results can be retrieved, navigated, and even updated whether the rowset is currently connected to the source database or not. If disconnected updates are made, resynchronization is implied when the rowset once again is connected to the source database. Finally, the concept of a rowset is not necessarily tied to SQL and relational databases. The data in a rowset can conceptually come from any tabular data source, such as a personal computer spreadsheet or even a table within a word processing document. A complete discussion of JDBC rowsets is beyond the scope of this book; see the JDBC documentation at http://java.sun.com/javase/ technologies/database/index.jsp for more information about this and other JDBC capabilities. (Click the JDBC Documentation link for the version you want.)
Summary
Many SQL-based DBMS products provide a callable API for programmatic database access: Depending on the particular DBMS brand and its history, the callable API may be an alternative to an embedded SQL approach, or it may be the primary method by which an application program accesses the database. A callable interface puts query processing, parameter passing, statement compilation, statement execution, and similar tasks into the call interface, keeping the programmatic SQL language identical to interactive SQL. With embedded SQL, these tasks are handled by special SQL statements (OPEN, FETCH, CLOSE, PREPARE, EXECUTE, and so on) that are unique to programmatic SQL. Microsoft s ODBC is a widely supported, callable API that provides an effective way for an application program to achieve independence from a particular DBMS. However, differences between DBMS brands are reflected in varying support for ODBC functions and capabilities. The SQL/Call-Level Interface (SQL/CLI) standard is based on ODBC and is compatible with it at the core level. SQL/CLI provides a callable API to complement the embedded SQL interface specified in the SQL standard. Many DBMS vendors support the SQL/CLI because of their historical support for ODBC. For Java programs, the JDBC interface is the de facto industry standard callable API, supported by all of the major DBMS products and defined as the database management API within the Java2 Enterprise Edition (J2EE) standard implemented by all of the major application server products. The proprietary callable APIs of the different DBMS brands remain important in the market (especially Oracle s OCI). All of them offer the same basic features, but they vary dramatically in the extended features that they offer and in the details of the calls and data structures that they use. In general, DBMS vendors put considerable performance-tuning work into their proprietary APIs and tend to offer ODBC and/or SQL/CLI support as a check-off feature. Thus, applications with higher performance requirements tend to use the proprietary APIs and are locked into a particular DBMS brand when they do.
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