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We start with the standard rules we learned for B-trees. The index on n1 has 20 distinct values and 60 leaf blocks, n3 has 25 distinct values and 63 leaf blocks; both indexes have a blevel of 1, which can therefore be ignored. The cost of scanning the indexes to find the relevant bitmaps will be ceiling(60/20) + ceiling(63/25): a total of 6, which we then scale up to 6.6 because of the bitmap multiplier of 1.1. If the data were truly random, each of our queries would return one row in 500 (20 * 25), which means 20 rows out of the available 10,000 so the easy bit of the arithmetic tells us that we should see a plan with a cardinality of 20. Using the 80/20 approximation, 4 of those rows will be widely scattered (which in this case means four separate blocks), and 16 of them will be clustered; but we have 9 rows per block on average, which means we need an extra two blocks for those 16 rows for a total of six blocks. So we predict that the total cost will be round(6.6 + 6) = 13. Running the query with autotrace enabled we see the following: Execution Plan (9.2.0.6 version) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=13 Card=20 Bytes=340) 1 0 TABLE ACCESS (BY INDEX ROWID) OF 'T1' (Cost=13 Card=20 Bytes=340) 2 1 BITMAP CONVERSION (TO ROWIDS) 3 2 BITMAP AND 4 3 BITMAP INDEX (SINGLE VALUE) OF 'T1_I3' 5 3 BITMAP INDEX (SINGLE VALUE) OF 'T1_I1' For confirmation, we can check the 10053 trace to find the following:

Whenever you want to get rid of a folder, just highlight it, press the Menu key, and select Delete as shown.

Access path: index (equal) Index: T1_I1 TABLE: T1 RSC_CPU: 0 RSC_IO: 3 IX_SEL: 5.0000e-002 TB_SEL: 5.0000e-002 Access path: index (equal) Index: T1_I3 TABLE: T1 RSC_CPU: 0 RSC_IO: 3 IX_SEL: 4.0000e-002 TB_SEL: 4.0000e-002 ******** Bitmap access path accepted ******** Cost: 13 Cost_io: 13 Cost_cpu: 0.000000 Selectivity: 0.002000 Not believed to be index-only. BEST_CST: 12.87 PATH: 20 Degree: 1 With a best cost of 12.87, we can see that our estimate of 12.66 wasn t perfect, but our figures for the index were correct, and our estimate did come pretty close. (The optimizer seems to have allowed a cost of 6.27 rather than 6 for the visit to the table maybe this is where the funny treatment of the db_file_multiblock_read_count appears.) A little detail to note when checking the execution plans that use bitmap and: the indexes seem to be arranged in order of selectivity, so that the most selective (best eliminator) goes first. This is probably echoed down into the execution engine, as it may allow the execution engine to reduce the number of bitmap index fragments it has to expand and compare. In a similar vein, if we execute this: select small_vc from t1 where and ; n2 = 2 n4 = 2 -- one in 20, clustered data -- one in 25, clustered data

Containers, or collection classes, are types that hold objects, provide ways to access them, and may be used in a variety of algorithms. Lists, queues, stacks, trees, and so on are all examples of container classes. The .NET Framework container classes are in the namespaces System::Collections and System::Collections::Generic.

There might be times when you want to adjust your date, time, and time zone. While you can set the time and time zone in the setup wizard, you can also adjust it directly from your Options icon. To do so, follow these steps. 1. 2. 3. Click to open your Options icon or press the letter O from your Home screen to start Options. (See Home Screen Hotkeys in Part 4.) Press the letter D to jump down to Date/Time, or scroll down and click it. Click the trackpad to see all the time zones, and glide up / down to select the appropriate time zone.

we get an execution plan from autotrace as follows: Execution Plan (9.2.0.6) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=8 Card=20 Bytes=340) 1 0 TABLE ACCESS (BY INDEX ROWID) OF 'T1' (Cost=8 Card=20 Bytes=340) 2 1 BITMAP CONVERSION (TO ROWIDS) 3 2 BITMAP AND 4 3 BITMAP INDEX (SINGLE VALUE) OF 'T1_I4' 5 3 BITMAP INDEX (SINGLE VALUE) OF 'T1_I2' In this case, the final cost is 8, a little lower because of the size of the indexes. We still expect to acquire 20 rows from the table, so our estimate for the table-related cost is still 6, but the indexes are so small that the cost of visiting each index is just one block per index, for a total of 2, which is then scaled up to 2.2; and indeed we see the following in the last lines of the 10053 trace:

******** Bitmap access path accepted ******** Cost: 8 Cost_io: 8 Cost_cpu: 0.000000 Selectivity: 0.002000 Not believed to be index-only. BEST_CST: 8.47 PATH: 20 Degree: 1 Note, by the way, that in this fragment of the trace file, 8.47 = 2.2 + 6.27, and in the previous fragment we have 12.87 = 6.6 + 6.27. The optimizer really is multiplying the index component by 1.1, and is giving a nonintegral value to visiting table blocks. Again, though, the 80/20 approximation used here starts to break down if pressed too hard, with diverging results as data sizes increase and the number of indexes used goes up.

Scroll down to set the Auto Update Time Zone field. You can select the default Prompt (which asks you if you want to change the time zone whenever it detects you are in a new time zone), Off (which never adjusts), or On (which will adjust the time zone without asking you). We recommend leaving it as Prompt.