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These features allow us to access related data very quickly with minimal physical I/O. We observed the main differences between index clusters and hash clusters, and we discussed when each would (and would not) be appropriate. Next, we covered nested tables. We reviewed the syntax, semantics, and usage of nested tables. We saw how they are, in fact, a system-generated and maintained parent/child pair of tables, and we discovered how Oracle physically does this for us. We looked at using different table types for nested tables, which by default use a heap-based table. We found that there will probably never be a reason not to use an IOT instead of a heap table for nested tables. Then we looked into the ins and outs of temporary tables, including how to create them, where they get their storage from, and the fact that they introduce no concurrency-related issues at runtime. We explored the differences between session-level and transaction-level temporary tables, and we discussed the appropriate method for using temporary tables in an Oracle database.

16.05 1,384 364,556/1,702 9.92 12,653/141

5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

This chapter finished with a look into the workings of object tables. As with nested tables, we discovered there is a lot going on under the covers with object tables in Oracle. We discussed how object views on top of relational tables can give us the functionality of an object table, while at the same time giving us easy access to the underlying relational data.

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LOGFILE GROUP 1 ('/u01/app/oracle/oradata/nina/redo01.log') SIZE 100M, a. GROUP 2 ('/u01/app/oracle/oradata/nina/redo02.log') SIZE 100M, b. GROUP 3 ('/u01/app/oracle/oradata/nina/redo03.log') SIZE 100M MAXLOGFILES 5 MAXLOGMEMBERS 5 MAXLOGHISTORY 1 MAXDATAFILES 300 CHARACTER SET US7ASCII NATIONAL CHARACTER SET AL16UTF16 EXTENT MANAGEMENT LOCAL DATAFILE '/u01/app/oracle/oradata/nina/system01.dbf' SIZE 500M REUSE SYSAUX DATAFILE '/u01/app/oracle/oradata/nina/sysaux01.dbf' SIZE 325M REUSE DEFAULT TABLESPACE users DATAFILE '/u01/app/oracle/oradata/nina/users01.dbf' SIZE 500M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED DEFAULT TEMPORARY TABLESPACE tempts1 TEMPFILE '/u01/app/oracle/oradata/nina/temp01.dbf' SIZE 200M REUSE UNDO TABLESPACE undotbs DATAFILE '/u01/app/oracle/oradata/nina/undotbs01.dbf' SIZE 200M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;

PL/SQL, in the absence of the log file sync wait, is very much helped by removing the buffer busy wait events. Pro*C is experiencing more buffer busy wait contention now but, due to the fact it is waiting on log file sync events frequently, is not benefiting. One way to improve the performance of the PL/SQL implementation with a regular index would be to introduce a small wait. That would reduce the contention on the right-hand side of the index and increase overall performance. For space reasons, I will not include the 15- and 20-user tests here, but I will confirm that the trend observed in this section continued. We can take away two things from this demonstration. A reverse key index can help alleviate a buffer busy wait situation, but depending on other factors you will get varying returns on investment. In looking at Table 11-4 for the ten-user test, the removal of buffer busy waits (the most waited for wait event in that case) affected transaction throughput marginally, but it did show increased scalability with higher concurrency levels. Doing the same thing for PL/SQL had a markedly different impact on performance: we achieved a measurable increase in throughput by removing that bottleneck.

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