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The query simply took the random OBJECT_IDs, performed the hash on them, and went to the block The hash cluster has to do at least one I/O to get the data The conventional table with an index had to perform index scans followed by a table access by rowid to get the same answer The indexed table has to do at least three I/Os in this case to get the data The hash cluster query took the same amount of CPU for all intents and purposes, even though it went to the buffer cache one-third as many times This, too, could be anticipated The act of performing a hash is very CPU intensive The act of performing an index lookup is I/O intensive It was a tradeoff here.

Oracle uses the shared memory segments of the operating system to share data among its various processes.

8 9 10

In addition to modifying the kernel parameters, the system administrator must also check limits on user processes as well as certain user login shell scripts, and change them if necessary. The following sections discuss these additional changes to be made by the system administrator.

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However, as we scale up users, we would expect the hash cluster query to scale better, as it has to get in line to access the buffer cache less frequently This last point is the important one When working with computers, it is all about resources and their utilization If we are I/O bound and perform queries that do lots of keyed reads like I just did, a hash cluster may improve performance If we are already CPU bound, a hash cluster may possibly decrease performance since it needs more CPU horsepower to hash, but if the extra CPU we are burning is due to spinning on cache buffers chains latches, the hash cluster could significantly reduce the CPU needed.

primary key (empno,addr_type) ) /

Oracle recommends setting limits on the number of processes and open files each Linux account may use. To improve the performance of Oracle software on Linux systems, the system administrator must increase certain shell limits for the oracle user by adding the following lines to the /etc/ security/limits.conf file: oracle oracle oracle oracle soft hard soft hard nproc nproc nofile nofile 2047 16384 1024 65536

You must also add the following line to the /etc/pam.d/login file: session required /lib/security/pam_limits.so

This is one of the main reasons why rules of thumb do not work on real-world systems: what works for you might not work for others in similar but different conditions There is a special case of a hash cluster called a single table hash cluster This is an optimized version of the general hash cluster we ve already looked at It supports only one table in.

Table created. ops$tkyte%ORA11GR2> create table iot_addresses 2 ( empno references emp(empno) on delete cascade, 3 addr_type varchar2(10), 4 street varchar2(20), 5 city varchar2(20), 6 state varchar2(2), 7 zip number, 8 primary key (empno,addr_type) 9 ) 10 ORGANIZATION INDEX 11 / Table created. I populated these tables by inserting into them a work address for each employee, then a home address, then a previous address, and finally a school address. A heap table would tend to place the data at the end of the table; as the data arrives, the heap table would simply add it to the end, due to the fact that the data is just arriving and no data is being deleted. Over time, if addresses are deleted, the inserts would become more random throughout the table. Suffice it to say, the chance an employee s work address would be on the same block as his home address in the heap table is near zero. For the IOT, however, since the key is on EMPNO, ADDR_TYPE, we ll be pretty sure that all of the addresses for a given EMPNO are located on one or maybe two index blocks together. The inserts used to populate this data were: ops$tkyte%ORA11GR2> insert into heap_addresses 2 select empno, 'WORK', '123 main street', 'Washington', 'DC', 20123 3 from emp; 72075 rows created. ops$tkyte%ORA11GR2> insert into iot_addresses 2 select empno, 'WORK', '123 main street', 'Washington', 'DC', 20123 3 from emp; 72075 rows created. I did that three more times, changing WORK to HOME, PREV, and SCHOOL in turn. Then I gathered statistics: ops$tkyte%ORA11GR2> exec dbms_stats.gather_table_stats( user, 'HEAP_ADDRESSES' ); PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> exec dbms_stats.gather_table_stats( user, 'IOT_ADDRESSES' ); PL/SQL procedure successfully completed.

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