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The SQL_TEXT column shows the exact SQL statement that s responsible for the high disk reads and logical reads: SQL> 2 3 4 5 SELECT sql_text, executions, buffer_gets, disk_reads, FROM V$SQL WHERE buffer_gets > 100000 OR disk_reads > 100000 ORDER BY buffer_gets + 100*disk_reads DESC; BUFFER_GETS DISK_READS ---------- -------------1615283234 125828 1211625422 3680242 152737737 7186125 96590083 5547319 33272842 6034715.

// release JDBC-related resources in the finally clause. JDBCUtil.close( rset ); JDBCUtil.close( pstmt ); } } The method _demoCstmtFetchSize() is similar to the method _demoPstmtFetchSize(), except that here we set the fetch size at the CallableStatement level by invoking our procedure prefetch_pkg.get_details() (the setting of fetch size won t really work, as you ll see shortly). Note also that we create the SQL tag with the Connection level and CallableStatement-level fetch size information, and pass it to the PL/SQL procedure: private static void _demoCstmtFetchSize( Connection conn, int connLevelDefaultPrefetch, int stmtLevelFetchSize ) throws SQLException { System.out.println( "Inside _demoCstmtFetchSize" ); String sqlTag = "/*+" + "(CONN=" + connLevelDefaultPrefetch + ")" + "(CSTMT=" + stmtLevelFetchSize + ")" + "*/"; String stmtString = "{ call prefetch_pkg.get_details ( , , ) }"; CallableStatement cstmt = null; ResultSet rset = null; try { cstmt = conn.prepareCall( stmtString ); System.out.println( "\tDefault statement fetch size: " + cstmt.getFetchSize()); cstmt.setFetchSize( stmtLevelFetchSize ); System.out.println( "\tnew statement fetch size: " + cstmt.getFetchSize()); cstmt.setInt( 1, 100); // number of rows to be fetched cstmt.setString( 2, sqlTag ); cstmt.registerOutParameter( 3, OracleTypes.CURSOR ); // execute the query cstmt.execute(); rset = (ResultSet) cstmt.getObject( 3 ); System.out.println( "\tresult set fetch size: " + rset.getFetchSize()); System.out.println( "\tHowever, in case of callable statement, " + "the real fetch size for all result sets obtained from the statement" + " is the same as the one set at the connection level." ); int i=0; while (rset.next()) { i++; } System.out.println( "\tnumber of times in the loop: " + i ); }

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SQL_TEXT EXECUTIONS ----------- --------------------BEGIN dbms_job.run(1009133); 726216 BEGIN label_sc_pkg.launch_sc; 34665 SELECT COUNT(*) AV_YOUTHS... 70564 SELECT UC.CHART_ID... 37849 SELECT MAX(REC_NUM) FROM... 5163242 SQL>

The following query is a slight variation on the preceding query. It seeks to find out the number of rows processed for each statement:

SQL> SELECT sql_text, rows_processed, 2 buffer_gets, disk_reads, parse_calls 3 FROM V$SQL 4 WHERE buffer_gets > 100000 5 OR disk_reads > 100000 6*ORDER BY buffer_gets + 100*disk_reads DESC; SQL_TEXT ROWS_PROCESSED ---------------------------- ----------BEGIN dbms_job.run(1009133); 9659 BEGIN label_sc_pkg.launch_sc; 3928 SELECT COUNT(*) AV_YOUTHS... 70660 SELECT UC.CHART_ID... 37848 SELECT MAX(REC_NUM) FROM... 5163236 SQL> BUFFER_GETS DISK_READS PARSE_CALLS ----------- --------- -------------1615322749 125830 2078 1214405479 3680515 4 152737737 7186125 3863 96590083 5547319 5476 33272842 6034715 606

Using the object view, we can directly materialize the rows of the underlying relational tables as an object. Let s look at some examples of this. The first example performs a select that returns all rows in our object view. Notice how the data inserted into the underlying relational tables is materialized as objects: benchmark@ORA10G> select * from components_or_view; COMPONENT_ID COMPONENT_NAME PARTS(COMPONENT_ID, PART_ID, PART_NAME, PART_DESC) -------------------------------------------------1 component1 PART_TYPE_TAB(PART_TYPE(1, 1,'part11','part 11 desc'), PART_TYPE(1, 2, 'part12', 'part 12 desc')) 2 component2 PART_TYPE_TAB(PART_TYPE(2, 3,'part21','part 21 desc'), PART_TYPE(2, 4, 'part22', 'part 22 desc'))

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