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queryStmt.append( " and ename like " ); } if( deptno != -1 ) { queryStmt.append( " and deptno = " ); } return queryStmt.toString(); } We begin _executeDynamicQuery() by executing the query inside the try catch block: private static void _executeDynamicQuery( Connection conn, String queryStmt, String ename, int deptno ) throws SQLException { ResultSet rset = null; PreparedStatement pstmt = null; try { pstmt = conn.prepareStatement( queryStmt ); We then dynamically bind values based on the input values and based on our knowledge of each input data type. Note that the percent sign (%) represents all employee names beginning with the given input value. Finally, we execute the query and print out the results: int colIndex = 1; if( ename != null ) { pstmt.setString( colIndex++, ename+"%" ); } if( deptno != -1 ) { pstmt.setInt( colIndex, deptno ); } rset = pstmt.executeQuery(); while( rset.next() ) { System.out.println( rset.getString( 1 ) + ", " + rset.getInt( 2 ) + ", " + rset.getString( 3 ) + ", " + rset.getInt( 4 ) ); } } finally { // release the JDBC resources in the finally clause. JDBCUtil.close( rset ); JDBCUtil.close( pstmt ); }

In the insert statement, 367,656 bytes of redo information was generated. For PL/SQL code blocks, autotrace does not work. For such cases, the following PL/SQL function gives you the redo generated by your session at a given point in time (note that you need to have direct select privileges on the views v_$mystat and v_$statname for the following code to compile): benchmark@ORA10G> create or replace function get_redo_size 2 return number 3 as 4 l_redo_size number; 5 begin 6 select value 7 into l_redo_size 8 from v$mystat m, v$statname s 9 where s.name like 'redo size' 10 and m.statistic# = s.statistic#; 11 return l_redo_size; 12 end; 13 / Function created. For example, the following code snippet shows that we generated 60,092 bytes of redo at this point in time in our session: benchmark@ORA10G> exec dbms_output.put_line( get_redo_size ); 60092 To measure redo generated for any code block, you have to take a snapshot of the redo size generated before and after the code block, and subtract them to get the redo generated by the code block. For example, to find out the redo generated by the procedure single_stmt_insert defined earlier, we first store the current amount of redo generated in a variable: benchmark@ORA10G> variable value number; benchmark@ORA10G> exec :value := get_redo_size; PL/SQL procedure successfully completed. And execute our procedure: benchmark@ORA10G> exec single_stmt_insert PL/SQL procedure successfully completed. Then we print out the redo generated by the procedure by subtracting the previously stored redo size value from the current amount of redo generated: benchmark@ORA10G> exec dbms_output.put_line( 'redo consumed = ' || (get_redo_size - :value) ); redo consumed = 23738012 PL/SQL procedure successfully completed.

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The CollapsiblePanelExtender control allows you to easily make visually appealing collapsing and expanding effects on panels used in your web page with minimal code. This extender is quite simple yet very flexible and is particularly useful in scenarios where you have large amounts of text, some of which does not need to be initially presented to the users. Also with many useful properties, its collapse/expansion behavior can be well customized. This includes the ability to have the panel auto expand or auto collapse depending on the mouse hovering. Table 7-7 lists some of the properties of the CollapsiblePanelExtender control.

In general, you should choose the approach that generates the least amount of redo. Minimizing Redo One technique for reducing the overall amount of redo generated is to avoid committing more frequently than required by your transaction semantics. I discuss this scenario in more detail in the section Sizing Your Transaction Resources According to Your Business Needs in 4.

In the previous sections, we looked at some selected topics and examples and covered how it is important for you to understand the inner workings of Oracle In this section, I will demonstrate why you need to have a solid grasp of SQL and PL/SQL in your quest for writing high-performance applications First, let s look at a straightforward logical argument Listed here are the high-level steps a typical JDBC program goes through: 1 Obtain an Oracle connection to the database 2 Set up resources required to execute SQL statements 3 Execute a set of SQL and/or PL/SQL statements 4 Give back (or close) resources required to execute SQL statements 5 Give back (or close) the connection to the database The total time spent in your JDBC program will be the sum of the time spent in all the preceding steps.

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