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private static final int BENCHMARK_MIDDLE_INDEX = 1; private static final int BENCHMARK_STOP_INDEX = 2; private static final int DEFAULT_BENCHMARK_DIFFERENCE_THRESHOLD = 0; } Once again, you should revisit this class to understand the mechanics of it after reading 6. For now, let s focus on how to invoke this program to compare the same two queries compared in the section Using runstats. The following program, DemoJRunstats, does just that. It uses the PreparedStatement class to execute the queries (you ll learn about the PreparedStatement classes in 5). The program begins by importing JDBC classes: /* This program demonstrates how to use the JRunstats utility */ package book.util; import java.sql.ResultSet; import java.sql.SQLException; import java.sql.PreparedStatement; import java.sql.Connection; public class DemoJRunstats { public static void main(String[] args) throws Exception { Then we define two query statements in string variables: String queryUsingCBO = "select count(*) " + "from t1, t " + "where t1.x = t.x " + "and t1.x = "; String queryUsingRBO = "select /*+ RULE */ count(*) " + "from t1, t " + "where t1.x = t.x " + "and t1.x = "; Next, we obtain the JDBC connection as the user BENCHMARK using the utility class JDBCUtil (the logic of how to get a JDBC connection is explained in 3): Connection conn = null; try { conn = JDBCUtil.getConnection("benchmark", "benchmark", "ora10g"); We prepare all the benchmarking statements in JRunstats: JRunstats.prepareBenchmarkStatements( conn ); Then we mark the beginning of the runstats run (this internally invokes runstats_pkg.rs_start): JRunstats.markStart( conn );

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We execute our first query by invoking a private method defined later: _executeQuery( conn, queryUsingCBO ); We mark the middle of the benchmark (this internally invokes runstats_pkg.rs_middle()): JRunstats.markMiddle( conn ); Now we execute the second query by invoking the private method _executeQuery() again: _executeQuery( conn, queryUsingRBO ); We mark the middle of the benchmark (this internally invokes runstats_pkg.rs_stop): JRunstats.markEnd( conn ); } catch (SQLException e) { // handle the exception properly - in this case, we just // print the stack trace. JDBCUtil.printException ( e ); } finally { // release the JDBC resources in the finally clause. JRunstats.closeBenchmarkStatements( conn ); JDBCUtil.close( conn ); } } The following private method uses PreparedStatement to execute a given query: private static void _executeQuery( Connection conn, String query ) throws SQLException { PreparedStatement pstmt = null; ResultSet rset = null; try { pstmt = conn.prepareStatement( query ); pstmt.setInt( 1, 0 ); rset = pstmt.executeQuery(); System.out.println( "printing query results ...\n"); while (rset.next()) { int count = rset.getInt ( 1 ); System.out.println( "count = " + count ); } } finally {

Mutable arrays are a key data structure used as a building block in many high-performance computing scenarios. The following example illustrates how to use a one-dimensional array of double values: > let arr = [| 1.0; 1.0; 1.0 |];; val arr : float[] > arr.[1];; val it : float = 1.0 > arr.[1] <- 3.0;; val it : unit = () > arr;; val it : float[] = [| 1.0; 3.0; 1.0 |] F# array values are usually manipulated using functions from the Array module, whose full path is Microsoft.FSharp.Collections.Array, but that can be accessed with the short name Array. Arrays are created either by using the creation functions in that module (such as Array. init, Array.create, and Array.zero_create) or by using sequence expressions, as discussed in 3. Some useful methods are also contained in the System.Array class. Table 4-1 shows some common functions from the Array module. F# arrays can be very large, up to the memory limitations of the machine (a 3GB limit applies on 32-bit systems). For example, the following creates an array of 100 million elements (of total size approximately 400MB for a 32-bit machine):

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