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It starts by connecting to the database, setting autocommit off (which should be done in all Java code), and then calling a doInserts() method a total of two times: Once just to warm up the routine (make sure all of the classes are loaded) A second time, with SQL Tracing on, specifying the number of rows to INSERT along with how many rows to commit at a time (ie, commit every N rows).

Note When writing embedded queries using F# LinqToSql, you can use only a limited subset of operators

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It then closes the connection and exits. The main method is as follows: import java.sql.*; public class perftest { public static void main (String arr[]) throws Exception { DriverManager.registerDriver(new oracle.jdbc.OracleDriver()); Connection con = DriverManager.getConnection ("jdbc:oracle:thin:@localhost:1521:ora11gr2", "scott", "tiger"); Integer iters = new Integer(arr[0]); Integer commitCnt = new Integer(arr[1]); con.setAutoCommit(false); doInserts( con, 1, 1 ); Statement stmt = con.createStatement ();

stmt.execute( "begin dbms_monitor.session_trace_enable(waits=>true); end;" ); doInserts( con, iters.intValue(), commitCnt.intValue() ); con.close(); }

to express your queries, in particular those defined in the F# LinqToSql library. Check the latest F# LINQ documentation for more details.

Note The SCOTT account or whatever account you use to test this with will need to have the EXECUTE privilege

Now, the method doInserts() is fairly straightforward. It starts by preparing (parsing) an INSERT statement so we can repeatedly bind/execute it over and over: static void doInserts(Connection con, int count, int commitCount ) throws Exception { PreparedStatement ps = con.prepareStatement ("insert into test " + "(id, code, descr, insert_user, insert_date)" + " values ( , , , user, sysdate)"); It then loops over the number of rows to insert, binding and executing the INSERT over and over. Additionally, it checks a row counter to see if it needs to COMMIT or not inside the loop : int int rowcnt = 0; committed = 0;

HOW LINQ APPEARS FROM F#

for (int i = 0; i < count; i++ ) { ps.setInt(1,i); ps.setString(2,"PS - code" + i); ps.setString(3,"PS - desc" + i); ps.executeUpdate(); rowcnt++; if ( rowcnt == commitCount ) { con.commit(); rowcnt = 0; committed++; } } con.commit(); System.out.println ("pstatement rows/commitcnt = " + count + " / " + } } committed );

Now we ll run this code repeatedly with different inputs and review the resulting TKPROF file. We ll run with 10,000 row inserts committing 1 row at a time, then 10, and so on. The resulting TKPROF files produced the results in Table 9-1. Table 9-1. Results from Inserting 10,000 Rows

You can make LINQ-style queries on two types of objects: those implementing the IEnumerable<'a> / seq<'a>" and IQueryable<'a> interfaces. The former is used for in-memory objects or those that can be iterated one by one to provide a uniform way to query and transform, while the latter provides more customization in terms of the deriving object s identity and enables you to control how those operations are actually carried out. Much of the LINQ architecture relies on representing query expressions using reified expression trees through the System.Expressions.Expression type. This type is used to encode lambda expressions in C#, thus giving a straightforward syntax embedding for LINQ-style queries. In F#, meta-programming is built around a similar mechanism F# quotations, discussed in 9. A bridge is used to convert between F# quotations and LINQ expression trees. LINQ queries on queryable objects are encoded as expression trees and translated to the underlying LINQ machinery at run time.

10,000 10,000 10,000 10,000 10,000

1 10 100 1,000 10,000

XML provides a platform-, operating system , and application-independent way to represent data in a plain-text format. In fact, nowadays XML is ubiquitous; it is widely used to describe application configuration data, as output format for applications such as Microsoft Word and Excel, to wrap data that is sent across networks or as a way to interact with the new generation of database servers, including Oracle 8i and newer or Microsoft SQL Server 2000 and 2005. These database servers can work with XML data directly, allowing you to update the database

CPU for Insert Statement (Seconds)

1.86 1.34 1.45 1.30 1.58

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