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Now we are ready to see what measurable difference we could expect to see. Using AUTOTRACE, we ll get a feeling for the change: ops$tkyte%ORA11GR2> set autotrace traceonly ops$tkyte%ORA11GR2> select * 2 from emp, heap_addresses 3 where emp.empno = heap_addresses.empno 4 and emp.empno = 42; Execution Plan ---------------------------------------------------------Plan hash value: 4163174643 ----------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | ----------------------------------------------------------------------| 0 | SELECT STATEMENT | | 4 | 356 | | 1 | NESTED LOOPS | | 4 | 356 | | 2 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 43 | |* 3 | INDEX UNIQUE SCAN | EMP_PK | 1 | | | 4 | TABLE ACCESS BY INDEX ROWID| HEAP_ADDRESSES | 4 | 184 | |* 5 | INDEX RANGE SCAN | SYS_C0019080 | 4 | | ----------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------3 - access("EMP"."EMPNO"=42) 5 - access("HEAP_ADDRESSES"."EMPNO"=42) Statistics ---------------------------------------------------------0 recursive calls 0 db block gets 11 consistent gets 0 physical reads 0 redo size 1153 bytes sent via SQL*Net to client 419 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 4 rows processed That is a pretty common plan: go to the EMP table by primary key; get the row; then using that EMPNO, go to the address table; and using the index, pick up the child records. We did 11 I/Os to retrieve this data. Now running the same query, but using the IOT for the addresses ops$tkyte%ORA11GR2> select * 2 from emp, iot_addresses 3 where emp.empno = iot_addresses.empno

The best way to understand LinqBindingList is to think about it as a filter over BusinessListBase. When you remove an item from a LinqBindingList, it not only removes the item from the list, but it

and emp.empno = 42;

Execution Plan ---------------------------------------------------------Plan hash value: 1490857195 -------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | -------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 4 | 356 | | 1 | NESTED LOOPS | | 4 | 356 | | 2 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 43 | |* 3 | INDEX UNIQUE SCAN | EMP_PK | 1 | | |* 4 | INDEX RANGE SCAN | SYS_IOT_TOP_93124 | 4 | 184 | -------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------3 - access("EMP""EMPNO"=42) 4 - access("IOT_ADDRESSES".

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also removes the item from the source list, and any other LinqBindingList instances from queries generated earlier from the same source BusinessListBase, as shown in Figure 14-2. If you change a property in an item from within the LinqBindingList, the n-level undo mechanism in BusinessListBase will track the change.

"EMPNO"=42) Statistics ---------------------------------------------------------0 recursive calls 0 db block gets 7 consistent gets 0 physical reads 0 redo size 1153 bytes sent via SQL*Net to client 419 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 4 rows processed we did four fewer I/Os (the four should have been guessable); we skipped four TABLE ACCESS (BY INDEX ROWID) steps The more child records we have, the more I/Os we would anticipate skipping So, what is four I/Os Well, in this case it was over one-third of the I/O performed for the query, and if we execute this query repeatedly, it would add up.

Each I/O and each consistent get requires an access to the buffer cache, and while it is true that reading data out of the buffer cache is faster than disk, it is also true that the buffer cache gets are not free and not totally cheap Each will require many latches of the buffer cache, and latches are serialization devices that will inhibit our ability to scale We can measure both the I/O reduction as well as latching reduction by running a PL/SQL block such as this: ops$tkyte%ORA11GR2> begin 2 for x in ( select empno from emp ) 3 loop 4 for y in ( select empename, astreet, acity, astate, azip 5 from emp, heap_addresses a 6 where empempno = aempno.

Various networking topologies, hierarchical principles, turf warfare, and hacking were alive and well not only among the city-state dwellers of ancient Greece but also among their Olympian overseers. Zeus was the undisputed hierarch for the network of Olympian gods who in turn presided over the various areas of human activities, thus setting the pattern for the structure of modern IT departments. And job security was a serious consideration in those days as well! According to a legend pertaining to events that ultimately led to the Trojan War, Zeus cast his eye at one time upon a beautiful maiden called Thetis, a daughter (one of fifty!) of the sea god Nereus, also known as the Old Man of the Sea. Zeus, however, quickly abandoned his intentions with respect to Thetis when he discovered that, according to prophesies, the male offspring of Thetis should become greater than his father. Clearly, Zeus did not want to lose his position as the supreme hierarch of the Olympian gods. Neither are today s CIOs eager to hire IT personnel who have the potential to replace them. Thetis was married instead to a hero called Peleus. The wedding of Thetis and Peleus (not unlike the merging of networks with different routing protocols and drastically varying approaches to network administration) was well attended by the gods (IT folks like

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