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The main points to note from the program DemoPrefetch are PreparedStatement inherits the fetch size set at the OracleConnection level. For PreparedStatement, we can change the fetch size at the Statement level (it works). For CallableStatement, we have to set the fetch size at the ResultSet level, since setting it at the CallableStatement level does not work due to a bug. If we override the fetch size at the ResultSet level, the very first fetch uses the fetch size set at the PreparedStatement level (or the OracleConnection level if it is not set at the PreparedStatement level). The subsequent fetches use the fetch size set at the ResultSet level. Fetch size does not have an impact on the total number of rows returned by query. It just sets the number of rows that would be transparently cached by the JDBC client. This is shown in our example by the fact that the number of iterations in the loop is always 100 because the query retrieves a total of 100 rows. Increasing the fetch size (to a certain limit) reduces the number of logical I/Os, which usually improves performance as demonstrated in the section Logical and Physical I/Os in 2. We ll measure this performance improvement in the next section. barcode add-in for excel free download Follow these 7 Steps to Install a Barcode Font in Excel + Word
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Barcode software for Excel 2016 & Excel 2013 ✓ For Users & Developers (VBA) ✓ Barcodes in spreadsheets ✓ Easy to use ✓ Support ☆ Download free trial ... To get an idea of the impact on performance of changing fetch size, I wrote a benchmark program, BenchmarkPrefetch, that finds the elapsed time of a query retrieving 50,000 rows from t1. This program extends the utility class JBenchmark discussed in the section Timing Java Programs in 1. The program begins with import statements, getting a connection and invoking the method _runBenchmark(): /* This program benchmarks the impact of prefetch on a query. * COMPATIBLITY NOTE: runs successfully against 10.1.0.2.0, and 9.2.0.1.0 */ import java.sql.ResultSet; import java.sql.SQLException; import java.sql.CallableStatement; import java.sql.Connection; import oracle.jdbc.OracleTypes; import book.util.JDBCUtil; import book.util.JBenchmark; class BenchmarkPrefetch extends JBenchmark { public static void main(String args[]) { Connection conn = null; try { conn = JDBCUtil.getConnection("benchmark", "benchmark", "ora10g"); new BenchmarkPrefetch()._runBenchmark( conn ); barcode font for excel, ean 13 excel font, asp.net barcode, crystal reports gs1-128, convert tiff to pdf c# itextsharp, the compiler failed with error code 128 asp.net free barcode add-in excel 2007 Barcodes in Excel 2016, Excel 2013 and Excel 365 - ActiveBarcode
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The ActiveBarcode Add-In for Excel 2010 or newer is available: using ... First launch Excel and create a new document or open an already existing document. } catch (Exception 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. JDBCUtil.close( conn ); } } // end of main() The following method, _runBenchmark(), prepares the statement to run our query that retrieves 50,000 rows. Before running the query, we start the SQL trace by invoking the method JDBCUtil.startTrace(). The query runs through a number of executions, each time retrieving a total of 50,000 rows using a given fetch size. The static array s_fetchSizes (declared later) defines all fetch sizes this program will benchmark our query on. Inside the loop, we find out the time taken by passing the fetch size information in an object array to the method timeMethod() inherited from JBenchmark: private void _runBenchmark( Connection conn ) throws Exception { String stmtString = "{ call prefetch_pkg.get_details ( , , ) }"; try { s_cstmt = conn.prepareCall( stmtString ); JDBCUtil.startTrace( conn ); for( int i=0; i < s_fetchSizes.length; i++ ) { Integer fetchSize = new Integer ( s_fetchSizes[i] ); timeMethod( JBenchmark.FIRST_METHOD, conn, new Object[]{fetchSize}, "Fetch Size: " + fetchSize ); } } finally { JDBCUtil.close( s_cstmt ); } } We override the method firstMethod() to execute our query for a given fetch size. Note that we once again put the fetch size inside a dummy hint that acts as our SQL tag: public void firstMethod( Connection conn, Object[] parameters ) throws Exception { ResultSet rset = null; Integer fetchSize = (Integer) parameters[0]; try { String sqlTag = "/*+ FETCH_SIZE=" + fetchSize + "*/"; s_cstmt.setInt( 1, 50000); s_cstmt.setString( 2, sqlTag ); s_cstmt.registerOutParameter( 3, OracleTypes.CURSOR ); s_cstmt.execute(); rset = (ResultSet) s_cstmt.getObject( 3 ); rset.setFetchSize( fetchSize.intValue() ); int i=0; while (rset.next()) { i++; } } finally { // release JDBC-related resources in the finally clause. JDBCUtil.close( rset ); } } Finally, we declare the array containing fetch sizes for which this program was executed along with the static variable containing the CallableStatement object: private static int[] s_fetchSizes = {10, 20, 50, 100, 500, 1000, 5000, 10000, 30000}; private static CallableStatement s_cstmt; } // end of program The results of my run are shown in the chart in Figure 7-1. You are no doubt familiar with seeing price history graphs on business TV shows on CNN or the Bloomberg channel. Figure 10-11 and Figure 10-12 show the price history charts for companies such as Microsoft (MSFT) and Starbucks (SBUX) for the past 100 days. 100000 90000 Elapsed Time (Milliseconds) barcode font in excel 2003 Barcode Data Entry in MS Excel
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