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} void Query(char* search, Recordset** records) { // Query the database, generate recordset // .. } ~DBConnection() { // Close the connection // .. } };.

Our second conclusion comes from examining the cost of a tablescan where we keep the physical size of the data segment constant Notice that the cost of the tablescan decreases as the block size increases If you move an object from one tablespace to another with a different block size, the cost of scanning it with multiblock reads changes significantly you may find that a surprising number of SQL statements change their execution plan as a result, and the change may not be for the better..

Sum(index range scan * 1.4) blocks for 20% scattered rows blocks for 80% packed rows 41 * 1.4 * 2 + 80 + 5.7

2. 3.

This is a lot closer to our target of 206, and well within the limits of that ever-present variation we get by changing the value of db_file_multiblock_read_count, so I m happy to leave the approximation there, and move on to the other bitmap transformation The second bitmap transformation is something I ve only come across very recently (in fact, in a question on the AskTom web site, at http://asktomoraclecom) Like many execution plans in Oracle, it was obvious after I saw it that I should have known that it could happen (a case of 20-20 hindsight ), it was just that I had never expected that it would happen If Oracle can convert between bitmap entries and rowids, there is no technical reason why it shouldn t do so at any point in an execution plan, so the following execution plan is perfectly legal (see script bitmap_cost_08.

node is destroyed as part of the natural semantics of value types Since they re value types, you never have to worry about another object holding a reference that is now invalid The bottom line is that you can write your class to rely on the natural semantics of value types when you declare a value type constraint If you don t, you have to write your class to handle both reference types and value types, and you have to deal with the question of object ownership As an example, take the MyList generic class used previously and change the Remove method to delete objects upon removal, as in Listing 11-15 Listing 11-15 A Collection That Owns the Objects and Deletes Them When Removed bool Remove(T t) { changed = true; if (first == nullptr) return false; if (first->item->Equals(t)) { // Remove first from list by // resetting first.

To check for updates, click the Check for Updates button in the lower-left hand corner. Place a check mark in any app that isn t already checked and it will be installed on your device. Conversely, uncheck any box and that app will be removed from your BlackBerry. Click the Start button and the selected or unselected apps will be either installed or uninstalled depending on your selection.

sql in the online code suite): select d1, count(*) from t1 where and group by d1 ; Execution Plan (9206) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=48 Card=4 Bytes=44) 1 0 SORT (GROUP BY) (Cost=48 Card=4 Bytes=44) 2 1 VIEW OF 'index$_join$_001' (Cost=41 Card=801 Bytes=8811) 3 2 HASH JOIN 4 3 BITMAP CONVERSION (TO ROWIDS) 5 4 BITMAP INDEX (RANGE SCAN) OF 'T1_D1' 6 3 BITMAP CONVERSION (TO ROWIDS) 7 6 BITMAP INDEX (SINGLE VALUE) OF 'T1_N1' Note especially how we start with two bitmap indexes, acquire some leaf block data from each in turn, and then effectively turn the results into an in-memory B-tree index Once we have two B-tree index sections, we can do an index hash join between them.

TIP: For peace of mind, it can be a good idea to perform a backup both before and after you add or delete apps from your Blackberry.

This example, of course, is exactly the opposite to the previous example, where we started with B-tree indexes, acquired some leaf block data, and converted to in-memory bitmap indexes As ever, we can put together the stuff we have learned so far to work out how this plan achieves its final cost And in this case, the bit we are most interested in is the working that gets us to the result of the hash join (the index$_join$_001 view in line 2) n1 = 2 d1 between to_date('&m_today', 'DD-MON-YYYY') and to_date('&m_future','DD-MON-YYYY').