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Let s look at the definition of the _demoPstmtFetchSize() method: private static void _demoPstmtFetchSize( Connection conn, int connLevelDefaultPrefetch, int stmtLevelFetchSize ) throws SQLException { System.out.println( "Inside _demoPstmtFetchSize" ); First, we create a SQL tag enclosed within the Oracle hint strings "/*+" and "*/" so that we can identify the statement within the tkprof output. Since the enclosed string is not a valid hint, Oracle will ignore it. Note that if you use "/*" instead of "/*+", Oracle will treat the hint string as a comment and strip it away in 10g (in 9i this is not the case). Within the dummy hint, we tuck away the fetch sizes set at the OracleConnection and PreparedStatement levels: String sqlTag = "/*+" + "(CONN=" + connLevelDefaultPrefetch + ")" + "(PSTMT=" + stmtLevelFetchSize + ")" + "*/"; Next, we form our SQL statement string, which selects a given number of rows. Note how we tag it with the sqlTag value we just created: String stmtString = "select x "+ sqlTag + " from t1 where rownum <= "; We prepare our PreparedStatement object: PreparedStatement pstmt = null; ResultSet rset = null; try { pstmt = conn.prepareStatement( stmtString ); And we print the default statement fetch size, which is the one it inherits from the OracleConnection interface: System.out.println( "\tDefault statement fetch size: " + pstmt.getFetchSize()); We then set the fetch size at the PreparedStatement object and set the total number of rows to be retrieved as 100. Finally, we execute the statement and iterate through the result set, which is followed by the finally clause: pstmt.setFetchSize( stmtLevelFetchSize ); System.out.println( "\tnew statement fetch size: " + pstmt.getFetchSize()); pstmt.setInt( 1, 100 ); rset = pstmt.executeQuery(); System.out.println( "\tResult set fetch size: " + rset.getFetchSize()); int i=0; while (rset.next()) { i++; }

parse_calls is the combined soft and hard parse calls for the statement. executions is the number of times a statement was executed. loads is the number of times the statement was reloaded into the shared pool after being flushed out. sharable_memory is the total shared memory used by the cursor. persistent_memory is the total persistent memory used by the cursor. runtime_memory is the total runtime memory used by the cursor.

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telling this to the earthlings, Sam grumbled with frustration that in a fraction of their second they could experience a lifetime and more in dimensions to which they are connected by an energy form that they have not yet grasped or been able to measure! Convincing them that NTP will need a quantum component will be a sufficient challenge, let alone that there is an entirely new form of energy that defies the very best of their science If more of them took a closer look at the quantum theory, the idea of an invisible and immeasurable energy force might not appear so strange to them.

Note In previous versions, DBAs used the V$SQLAREA view to gather information shown earlier. However, the V$SQL view supplants the V$SQLAREA view by providing all information in that view, plus other important tuningrelated information as well.

You can query the V$SQL view to find high-resource-using SQL You can determine resource-intensive SQL on the basis of the number of logical reads or buffer gets, or high disk reads, high parse calls, large number of executions, or combinations of these factors It s obvious that a high number of disk reads is inefficient because a high amount of physical I/O slows query performance However, a high number of memory reads (buffer gets) is also expensive because they consume CPU resources You normally have high buffer gets because you re using the wrong index, the wrong driving table in a join, or a similar SQL-related error One of the primary goals of SQL tuning should be to lower the number of unnecessary logical reads If buffer gets and disk reads are at identical levels, it could indicate a missing index.

System.out.println( "\tnumber of times in the loop: " + i ); } finally { // release JDBC-related resources in the finally clause. JDBCUtil.close( rset ); JDBCUtil.close( pstmt ); } } The method _demoPstmtFetchSizeWithRsetOverride() is exactly the same as the method _demoPstmtFetchSize(), except that we override the fetch size at the ResultSet object as well. Note that the SQL tag also has the ResultSet fetch size used in this case: private static void _demoPstmtFetchSizeWithRsetOverride( Connection conn, int connLevelDefaultPrefetch, int stmtLevelFetchSize, int rsetLevelFetchSize ) throws SQLException { System.out.println( "Inside _demoPstmtFetchSizeWithRsetOverride" ); String sqlTag = "/*+" + "(CONN=" + connLevelDefaultPrefetch + ")" + "(PSTMT=" + stmtLevelFetchSize + ")" + "(RSET=" + rsetLevelFetchSize + ")" + "*/"; String stmtString = "select x "+ sqlTag + " from t1 where rownum <= "; PreparedStatement pstmt = null; ResultSet rset = null; try { pstmt = conn.prepareStatement( stmtString ); System.out.println( "\tDefault statement fetch size: " + pstmt.getFetchSize()); pstmt.setFetchSize( stmtLevelFetchSize ); System.out.println( "\tnew statement fetch size: " + pstmt.getFetchSize()); pstmt.setInt( 1, 100 ); rset = pstmt.executeQuery(); rset.setFetchSize( rsetLevelFetchSize ); System.out.println( "\tnew result set fetch size: " + rset.getFetchSize()); int i=0; while (rset.next()) { i++; } System.out.println( "\tnumber of times in the loop: " + i ); } finally {

The reasoning is this: if you don t have an index, Oracle is forced to do a full table scan However, full table scans can t be kept in the SGA for too long because they might force a lot of other data to be cleared out Consequently, the full table won t get to stay in the SGA for too long unless it s a small table The following simple query shows how the V$SQL view can pinpoint problem SQL statements; both high disk reads and high logical reads are used as the criteria for flagging down poor SQL statements captured by the V$SQL view.

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