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Oracle can use a form of asynchronous write mechanism for direct path writes (if the operating system supports this feature), sending a few batches of blocks to the I/O subsystem, and then checking back a little later to see if the batches have been written. Some of the details of this activity are visible in the 10032 trace for this test, where we see the statistics about direct writes and direct reads (the following is an extract). I assume the figures for Write slots used and Number of read slots tell us how many asynchronous calls Oracle can make before cycling back to see whether a batch has been written or read. I ve added a couple of lines to this sample that didn t actually appear in my first test, and are relevant only during multipass operations: ---- Direct Write Statistics ----Write slot size Write slots used during in-memory sort Write slots used during merge Number of direct writes Num blocks written (with direct write) Waits for async writes 49152 2 -- only in multipass 268 1565 -- did not appear in 9i

It s easy to assign a Task to a Category (see Figure 16-2); simply follow these steps: 1. 2. Highlight the Task, click the Trackpad, and open it. Press the Menu key and select Categories.

You may wonder how I came to the conclusion that the index fast full scan cost was dictated by the statistic leaf_blocks. Initially, instead of continually re-creating the same index with different values for pctfree, I used packaged procedure dbms_stats.set_index_stats to change the leaf_blocks value for an index to see what happened to the cost of the query. Then I changed the blevel, and so on. The script hack_stats.sql in the online code suite demonstrates the method.

3. 4.

// int cannot implicitly be converted to BigInt1 and BigInt2 // with the constructor; instead, you define the static conversion operator. // This is different from standard C++, which uses the constructor // for such implicit conversions. b_exp.takeBigIntExplicit(safe_cast<BigIntExplicit>(i)); b_imp.takeBigIntImplicit(j); }

This type of problem can have surprising side effects If you have emptied a range of leaf blocks, then the analyze command reports the leaf block count as the number of leaf blocks currently in the index structure, whereas the procedure dbms_statsgather_index_stats reports the count as the number of leaf blocks that actually have data in them (When all the rows have been deleted from a leaf block, it is temporarily left in place in the tree, but also attached to the index segment s freelist) When you switch from using the deprecated analyze to the strategic dbms_stats, you may find that some SQL statements suddenly start using index fast full scans for no apparent reason This problem could only appear in queries (or execution plan lines) that could be satisfied completely within an index, and so probably won t be very common at present.

But you never know what exciting new feature the next release of the optimizer might introduce and whether a problem might suddenly appear It s surprising how often an enhancement in the optimizer helps 99 people out of 100 and causes major headaches for the odd one out Here, for example, is an execution plan that is perfectly reasonable (in the right circumstances) but is not yet available to the optimizer: Execution Plan ( 11100 ) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=30 Card=18 Bytes=144) 1 0 TABLE ACCESS (BY INDEX ROWID) OF 'T1' (Cost=30 Card=18 Bytes=144) 2 1 SORT (ORDER BY) 3 2 INDEX (FAST FULL SCAN) OF 'T1_I' (INDEX) (Cost=12 Card=18) The plan (a complete fiction, I must stress) starts with a fast full scan of an index to find a list of rowids based on nonleading columns, sorts by block ID, and then accesses the table.

Select as many Categories as you like by checking them with the Trackpad or pressing the Space key. You may even add new Categories by pressing the Menu key and selecting New.

If you had an index that was much smaller than its base table, and you were after just a few rows meeting some criteria that could be tested in the index (but not identified by the leading edge of the index), then this could, in theory, be a better execution plan than an index skip scan At present, you could get quite close to emulating this path with SQL like the following (also in script index_ffssql in the online code suite): select /*+ ordered no_merge(tb) use_nl(ta) rowid(ta) */ * from ( select /*+ index_ffs(t1) */ rowid from t1 where val > 250 order by rowid ) tb, t1 ta where tarowid = tbrowid ; Execution Plan (9206).