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When you generate the statistics for an index, you get the number of leaf blocks and the index blevel; but you don t get any information about the number of branch blocks, or the index segment s HWM So what number does the optimizer use as the basis for the cost of the index fast full scan The answer seems to be the number of leaf blocks which is fairly reasonable, because in a nice, clean randomly generated index, with no catastrophic updates and deletes, the number of leaf blocks is probably within 1% of the total number of blocks below the high water mark Strangely, if you have not collected statistics on an index, Oracle uses its knowledge of the high water mark from the index s segment header block to get the right answer.

1. It is amazingly simple to add basic appointments (or reminders) to your calendar. In Day View, glide the trackpad to the correct day and time, press the Enter key, and start typing your appointment right in Day View.

It is possible though that in some scenarios you could push an index into an unusual state where the number of populated leaf blocks was much smaller than the number of blocks below the high water mark (unlucky or inappropriate use of the coalesce command could have this effect sometimes it really is a good idea to rebuild an index), resulting in an inappropriate index fast full scan cost when a range scan would be more efficient..

try { String^ s = del->Invoke(); Console::WriteLine("Return value was {0}", s); } catch(Exception^) { // Handle the exception. } } } The output of Listing 7-13 is shown here: Return value was R::g Return value was R::h Without the try/catch, g and h would never have been called.

3. 4.

merge join requires both its inputs to appear in sorted order, and quite often it is the sorting that uses more resources than the rest of the operation Consequently, the first section of this chapter is all about sorting, with the mechanisms and costs of the merge operation appearing only in the latter part of the chapter Sorting is a rather special operation that is worth focusing on because it is such a common operation, and yet the actual mechanisms and resource requirements are still not commonly known Oracle may need to use sorting for order by clauses, group by clauses, the distinct operator, merge joins, connect by queries, B-tree to bitmap conversions, analytic functions, set operations, index creation, and probably a couple of other cases that I happen to have overlooked.

If you need to change the start time, press the ALT key (up/down arrow in lower left corner) while rolling the trackpad up/down. To change the ending time, just glide the trackpad by itself. When you re done, click the trackpad or press the Enter key.

Although users of 9i onwards should be taking advantage of the automatic workarea_size_policy for memory management and using the pga_aggregate_target to set the accounting target for the bulk-memory operations such as sorting, this chapter starts with these features disabled Remember that the automatic workarea_size_policy affects the quantity of memory a process is allowed to acquire, and how it frees it; but since I will initially be trying to demonstrate how Oracle uses that memory, it doesn t really matter whether the allocation strategy was something that Oracle handled dynamically, or something that I fixed manually As we did in 12, though, we will eventually move on to review the four possible combinations of CPU costing and workarea_size_policy settings And, as with hash joins, we will find that the changes as we enable new features are more important than the absolute figures that come out of any calculations.