.NET/ASP.NET/C#/VB.NET PDF Document SDK

count(*) from table t1, which has 10,000 rows. Since this code incorporates the same techniques previously discussed in this chapter, I did not provide any explanatory text within the code listing. /** This program compares implicit statement caching with * explicit statement caching in terms of elapsed time. * COMPATIBLITY NOTE: * runs successfully against 9.2.0.1.0 and 10.1.0.2.0 */ import java.sql.SQLException; import java.sql.PreparedStatement; import java.sql.ResultSet; import oracle.jdbc.OraclePreparedStatement; import oracle.jdbc.OracleConnection; import book.util.JDBCUtil; import book.util.Util; class ImplicitVsExplicitCaching { public static void main(String args[]) throws SQLException { Util.checkProgramUsage( args ); OracleConnection conn = null; try { // get connection conn = (OracleConnection) JDBCUtil.getConnection("benchmark", "benchmark", args[0]); conn.setExplicitCachingEnabled( true ); conn.setImplicitCachingEnabled( true ); conn.setStatementCacheSize( 10 ); System.out.println("explicit caching enabled: " + conn.getExplicitCachingEnabled() ); System.out.println("implicit caching enabled: " + conn.getImplicitCachingEnabled() ); System.out.println("cache size: " + conn.getStatementCacheSize() ); int numOfRuns = 5000; long startTime = System.currentTimeMillis(); for( int i=0; i < numOfRuns; i++ ) { _doSelectWithExplicitCachingEnabled( conn ); } long endTime = System.currentTimeMillis(); System.out.println("Implicit took: " + (endTime-startTime)+ " ms "); startTime = System.currentTimeMillis(); for( int i=0; i < numOfRuns; i++ ) {

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The following session shows some sample uses of the DateTime type: > open System;; > DateTime.Parse("13 July 1968");; val it : DateTime = 13/07/1968 00:00:00 {Day = 13; DayOfWeek = Saturday; DayOfYear = 195; Hour = 0; Millisecond = 0; Minute = 0; Month = 7; Second = 0; Ticks = 620892000000000000L; TimeOfDay = 00:00:00; Year = 1968;} > let date x = DateTime.Parse(x);; val date : string -> DateTime > printfn "date = %A" (date "13 July 1968");; date = 13/07/1968 00:00:00 val it : unit = ()

application tier and scale up at the data tier, says the architect who has done his homework (and has a big budget). Clustering works great when you re working with a single physical location. In a disaster recovery scenario with multiple geographic locations, it gets a lot harder and may not even be possible depending on the situation and budget. In such instances, you may still be able to consider clustering, but you ll need to explicitly define the following: A geographically shared RAID or SAN, using a hardware- or software-centric approach to data synchronization The interaction between Windows clustering and SQL Server clustering The size of the pipe between two or more locations Failover vs. failback There are other exceptions to these points as well. For example, you may be able to have more than one copy of a database if it s a reporting server whose data is updated nightly with data from the previous day s transactions and it doesn t change during the course of the day. Scaling out is also possible in the data tier by horizontally partitioning your data. Application architecture is all about your enterprise s exceptions to the rules. And exceptions to those exceptions. And repeat. Scaling out and scaling up are used for more than availability. They ll make another appearance when we discuss (oddly enough) scalability.

_doSelectWithImplicitCachingEnabled( conn ); } endTime = System.currentTimeMillis(); System.out.println("Explicit took: " + (endTime-startTime)+ " ms "); } finally { // release resources associated with JDBC in the finally clause. JDBCUtil.close( conn ); } } /////////////////// PRIVATE SECTION ///////////////// private static void _doSelectWithExplicitCachingEnabled( OracleConnection conn ) throws SQLException { OraclePreparedStatement opstmt = null; ResultSet rset = null; String stmtString = "select count(*) from t1"; String stmtKey = EXPLICIT_CACHING_KEY_PREFIX + stmtString; try { opstmt = ( OraclePreparedStatement) conn. getStatementWithKey( stmtKey ); if( opstmt == null ) { opstmt = ( OraclePreparedStatement) conn. prepareStatement( stmtString ); } rset = opstmt.executeQuery(); } finally { JDBCUtil.close( rset ); try { opstmt.closeWithKey( stmtKey ); } catch ( Exception e) { e.printStackTrace();} } } private static void _doSelectWithImplicitCachingEnabled( OracleConnection conn ) throws SQLException { PreparedStatement pstmt = null; ResultSet rset = null; String stmtString = "select count(*) from t1"; try