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Page 1: Distance checker Make sure you see these select a value which is visible from last rows at 18 This is a positive highlighted value This is a negative highlighted

Distance checker

Make sure you see these

select a value which is visible from last rows at 18This is a positive highlighted valueThis is a negative highlighted value

select a value which is visible from last rows at 14This is a positive highlighted valueThis is a negative highlighted value

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Working with Automatic PGA

All graphs are taken from the document “SQL Memory Management in Oracle9i” from Benoît Dageville and Mohamed Zait from Oracle Corporation

Christo Kutrovsky

The Pythian Group

2005 Feb

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What is PGA ?

Program Global Area i.e. Process Global Area Why is PGA different from SGA What goes into PGA

Sort Hash PL/SQL variables and cursor memory

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SGA

Oracle memory model

P1

P2

P3

P4PGA

SORT

HASH

PGABIG

SORT

cursorspl/sql var.

cursorspl/sql var.

PGA Sortcursors

pl/sql var.

PGA Hashcursorspl/sql var.

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Virtual memory mapping

P1

P2

SGA

32/64 bit addressing space

PGA Sortcursors

pl/sql var.

PGA Hashcursorspl/sql var.

0 gb 1 gb 2 gb 3 gb 4 gb

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The need for more memory

To make things go faster ! The fast = true parameter Not really More memory has different effects on

sorts and hash joins

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Effects on Sorting

Sorting has ONLY 3 modes optimal or cache (all in memory) 1 pass (the entire result set is written once to

disk) multi-pass (the entire result set is written

multiple times to disk)

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Sorting response time

Response time

Memory used

Optimal

1 pass

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Crossing optimal => 1 passSQL> select count(*) from (select * from TBLSESSION t where rownum<= 920000

order by ses_ip);…Executed in 27.559 seconds

SQL> select count(*) from (select * from TBLSESSION t where rownum<= 930000 order by ses_ip);

…Executed in 27.82 seconds

SQL> select count(*) from (select * from TBLSESSION t where rownum<= 940000 order by ses_ip);

…Executed in 35.451 seconds

SQL> select count(*) from (select * from TBLSESSION t where rownum<= 950000 order by ses_ip);

…Executed in 36.652 seconds

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Crossing optimal => 1 passselect substr(sql_text,57,15) as sql, operation_type as op, operation_id as id, policy,

round(estimated_optimal_size/1024/1024,2) as e_opt, round(estimated_onepass_size/1024/1024,2) as e_one,

round(last_memory_used/1024/1024,2) as l_mem, last_execution as last,

total_executions as tot, optimal_executions as opt, onepass_executions as one, multipasses_executions as mult,

round(active_time/1000000,2) as sec, round(max_tempseg_size/1024/1024,2) as tmp_m, round(last_tempseg_size/1024/1024,2) as tmp_L

from v$sql_workarea swa, v$sql sq

where swa.address = sq.address and swa.hash_value = sq.hash_value

and sql_text like 'select count(*) from ( select * from TBLSESSION%‘ order by sql;

SQL OP ID E_OPT E_ONE L_MEM LAST TOT OPT ONE MULT SEC TMP_M TMP_L--------- ---- -- ----- ----- ------ ------- --- --- --- ---- ------ ----- -----<=920000 SORT 3 96.5 3.28 85.78 OPTIMAL 1 1 0 0 26.62 <=930000 SORT 3 97.56 3.3 86.72 OPTIMAL 1 1 0 0 26.91 <=940000 SORT 3 87.28 3.13 87.27 1 PASS 1 0 1 0 34.32 80 80<=950000 SORT 3 88.22 3.15 87.27 1 PASS 1 0 1 0 35.53 80 80

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Other nuances of SORTs

When sorting, you are sorting the ENTIRE result set. Thus you need as much memory as ALL your select columns

So yes, by adding an extra field (even a fixed string) you could just pass the limit and switch to one-pass sort

select * is even worse

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Affecting sort memory needs Adding a fixed string:SQL> select count(*) from (select t.*,'extra' from TBLSESSION

t where rownum<=920000 order by ses_ip);…Executed in 33.398 seconds

Narrowing the select listSQL> select count(*) from (select ses_id, ses_start,

ses_refkey from TBLSESSION t where rownum<= 950000 order by ses_ip);

…Executed in 26.868 seconds

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Switching to multi-pass

Multipass is a long way down the road, compared to optimal => 1 pass

TYPE POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP---- ------ --- ------ ------ ----- ------ ------ ------- ----SORT AUTO 299 813.77 77.98 77.98 78.01 87.27 1 6750

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Top N queries

Remember top N queries?SQL> select count(*) from

(select * from TBLSESSION t where rownum<=950000 order by ses_ip )where rownum <=1000;…Executed in 11.597 seconds

TYPE POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP---- ------ ---- ------ ----- ----- ---- ----- ------ ----SORT AUTO 336 11.42 0.21 0.21 0.21 0.21 0

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Effect on HASH joins

Hash joins have the same 3 modes: optimal (cache, in memory), 1 pass and multi-pass

Hash joins benefit from additional memory between optimal and one-pass execution

That is, according to Oracle, in my testing there was no measurable benefit

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Nuances HASH joins

If the optimizer estimates it will go above the bound, it will use temp right away

The estimated value is “re-learned” from the last execution

Thus a 2nd execution, without any changes, may not use temp

If the “estimate” is bypassed, then it will write to temp as needed, same way as a sort

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Automatic PGA

Now to the “automatic” word

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Global memory manager

Updates the “global memory bound” every 3 seconds

Reacts to over allocation by lowering the bound further

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Some facts

Oracle’s SQL operators can adjust the memory consumption in mid-execution

Sorts that switch from optimal to 1-pass will release the extra memory immediately (depending on disk speed)

Background jobs processes will not free-up the virtual memory, if sufficient memory is available

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Drift

A drift of 10% is allowed When the limit is passed, a “foreground”

bound recompute occurs

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Monitoring PGA activity

Overview

Details

Advisors

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Monitoring - Overview SQL> select * from v$pgastat;

NAME VALUE UNIT -------------------------------------- ---------- --------aggregate PGA target parameter 2097152000 bytes aggregate PGA auto target 1866138624 bytes global memory bound 104857600 bytes total PGA inuse 23664640 bytes total PGA allocated 132822016 bytes maximum PGA allocated 564828160 bytes total freeable PGA memory 4194304 bytes PGA memory freed back to OS 2165370847 bytes total PGA used for auto workareas 0 bytes maximum PGA used for auto workareas 111509504 bytes total PGA used for manual workareas 0 bytes maximum PGA used for manual workareas 529408 bytes over allocation count 0 bytes processed 5318923366 bytes extra bytes read/written 2912501760 bytes cache hit percentage 99.45 percent

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Monitoring - Overview – no bytesselect name,round(value/1024/1024,1) as Mb from v$pgastat where unit = 'bytes';

NAME MB-------------------------------------- ---------aggregate PGA target parameter 2000aggregate PGA auto target 1779.7global memory bound 100total PGA inuse 22.5total PGA allocated 126.7maximum PGA allocated 538.7total freeable PGA memory 4PGA memory freed back to OS 2065058.6total PGA used for auto workareas 0maximum PGA used for auto workareas 106.3total PGA used for manual workareas 0maximum PGA used for manual workareas 0.5bytes processed 507256.6extra bytes read/written 2777.6

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Monitoring – getting the details 1

When the query is runningv$sql_workarea_active

select operation_type as type, policy, sid, round(active_time/1000000,2) as a_sec,round(work_area_size/1024/1024,2) as wsize, round(expected_size/1024/1024,2) as exp,round(actual_mem_used/1024/1024,2) as act,round(max_mem_used/1024/1024,2) as max, number_passes as passes, round(tempseg_size/1024/1024,2) as temp from v$sql_workarea_active;

TYPE POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP---- ------ --- ----- ----- ----- ----- ----- ------ ----SORT AUTO 299 284.5 54.73 54.73 53.75 87.27 1 3015

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Monitoring – getting the details 2 When it has finished (or for another query)

v$sql_workareaselect operation_type as op, operation_id as id, policy,round(estimated_optimal_size/1024/1024,2) as e_opt, round(estimated_onepass_size/1024/1024,2) as e_one,round(last_memory_used/1024/1024,2) as l_mem, last_execution as last,total_executions as tot, optimal_executions as opt, onepass_executions as one, multipasses_executions as mult,round(active_time/1000000,2) as sec, round(max_tempseg_size/1024/1024,2) as tmp_m, round(last_tempseg_size/1024/1024,2) as tmp_Lfrom v$sql_workarea where address = '0000000381E23CF0' and hash_value = '1505362365';

OP ID POLICY E_OPT E_ONE L_MEM LAST TOT OPT ONE MULT SEC TMP_M TMP_L---------- -- ------ ----- ----- ----- ------- ---- ---- --- ---- ---- ----- -----SORT 1 AUTO 0.02 0.02 0.02 OPTIMAL 227 227 0 0 0.02 HASH-JOIN 2 AUTO 0.63 0.63 0.34 OPTIMAL 227 227 0 0 0.02 HASH-JOIN 9 AUTO 0.88 0.88 1.14 OPTIMAL 146 146 0 0 0.01

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Monitoring – getting the details 3 You can link workareas to steps from the EX.PLAN

v$sql_planselect rpad(' ', depth*3)||operation||' '||options||nvl2(object_name, ' -> ','')||object_name||decode(search_columns,0,NULL,' ('||search_columns||')') as OP,cost, cardinality as CARD, bytes, id as "id",access_predicates as "ACCESS", filter_predicates as filter,round(temp_space/1024/1024) as TMP_MB,partition_start ||nvl2(partition_start, ' - ', '')||partition_stop as P, partition_id, other, other_tag, cpu_cost, io_cost, distribution, object_owner, parent_id,optimizer from ( select * from V$SQL_PLAN where address = hextoraw('0000000381E23CF0') and hash_value = '1505362365' and child_number = 0) t connect by prior id = parent_id start with id = 0 order by id, position;

OP id ACCESS TMP_MB ---------------------------------------------------- -- --------- ------SELECT STATEMENT 0 SORT ORDER BY 1 HASH JOIN 2 "VID"="VID" NESTED LOOPS 3 TABLE ACCESS INDEX ROWID -> TAG_SYM 4 INDEX RANGE SCAN -> TS_VSID (1) 5 "VSID"=:1 TABLE ACCESS BY INDEX ROWID -> VEN_TAG 6 INDEX UNIQUE SCAN -> VT_TAG_PK (1) 7 "TAG"="TAG" VIEW 8 HASH JOIN 9 ROWID=ROWID INDEX FAST FULL SCAN -> VI_NAME_PK 10 INDEX FAST FULL SCAN -> VI_VID_UK 11

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Monitoring – getting the details 4Summaries – overall per workarea size

v$sql_workarea_histogramSELECT LOW_OPTIMAL_SIZE/1024/1024 low_mb,(HIGH_OPTIMAL_SIZE+1)/1024/1024 high_mb, optimal_executions,onepass_executions,multipasses_executionsFROM v$sql_workarea_histogramWHERE total_executions != 0and (low_optimal_size/1024/1024 >= 8 or total_executions > optimal_executions);

LOW_MB HIGH_MB OPTIMAL_EXECUTIONS ONEPASS_EXECUTIONS MULTIPASSES_EXECUTIONS ------ ------- ------------------ ------------------ ---------------------- 2 4 3073 0 0 4 8 2033 0 0 8 16 402 0 0 16 32 1501 55 0 32 64 147 2295 0 64 128 0 374 0 128 256 0 28 0 256 512 0 3 0 512 1024 0 16 0 1024 2048 0 1 0

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Monitoring – getting the details 5

Summaries – finding the bad onesselect operation_type as op, operation_id as id, policy,round(estimated_optimal_size/1024/1024,2) as e_opt, round(estimated_onepass_size/1024/1024,2) as e_one,round(last_memory_used/1024/1024,2) as l_mem, last_execution as last,total_executions as tot, optimal_executions as opt, onepass_executions as one, multipasses_executions as mult,round(active_time/1000000,2) as sec, round(max_tempseg_size/1024/1024,2) as tmp_m, round(last_tempseg_size/1024/1024,2) as tmp_L

from v$sql_workarea where max_tempseg_size is not null;

OP ID POLICY E_OPT E_ONE L_MEM LAST TOT OPT ONE MULT SEC TMP_M TMP_L--------- -- ------- ----- ----- ----- ------ --- --- --- ---- ----- ----- -----HASH-JOIN 4 AUTO 47.91 4.09 36.03 1 PASS 158 0 158 0 90.99 45 40

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The Advisors – been really lazy

Similar to v$db_cache_advice v$pga_target_adviceShows estimate temp IO usage

v$pga_target_advice_histogram can be used to estimate opt/1pass/multi executions for different workarea sizes

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v$pga_target_adviceselect round(pga_target_for_estimate/1024/1024) as est_mb,pga_target_factor as factor,round(bytes_processed/1024/1024) as p_mb,round(estd_extra_bytes_rw/1024/1024) as extra_mb,estd_pga_cache_hit_percentage as hit_ratio,estd_overalloc_count as est_over from v$pga_target_advice;

EST_MB FACTOR P_MB EXTRA_MB HIT_RATIO EST_OVER------ ------ ------ ---------- ---------- ---------- 125 0.125 446362 768675 37 9797 250 0.25 446362 293602 60 2075 500 0.5 446362 181392 71 0 750 0.75 446362 176313 72 0 1000 1 446362 136979 77 0 1200 1.2 446362 136391 77 0 1400 1.4 446362 136391 77 0 1600 1.6 446362 136391 77 0 1800 1.8 446362 136391 77 0 2000 2 446362 136391 77 0…

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To make it work

And now what you need to make it work

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Documented parameters

pga_aggregate_target that’s it

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Before we continue

The following slides will show undocumented parameters

Do not use them, unless instructed by Oracle support

Bugs you should be aware off

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Patches/Bugs that are required

2805580 - corruption with auto PGA, 9.2.0.4

3130972 - allow more then 1gb per workarea 9.2.0.5

3586008 - the above 2 (as they conflict) Check with Oracle what is required for

your patch level

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Maximum workarea size

The maximum PGA workarea is hard limited to 5% of pga_aggregate_target or a max of 100Mb

Can be controlled with _smm_max_size

Value is in KB !

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Maximum PGA per process

One process can have many workareas Max total size can be controlled with

_pga_max_size Value is in bytes, default 200Mb CAUTION: virtual address space

limitation on 32 bit platforms

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So what’s possible?

Put really BIG sorts in memory ! A single workarea is still limited at 4gb In addition due to steps-allocations, it’s

spilling much earlier, around 3.5 gb A process however is not limited to 4gb,

at least on 64 bit system

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The system

Solaris with 64 bit Oracle 9.2.0.5 32 Gb RAM 16 Gb SGA pga_aggregate_target = 8000m _pga_max_size = 8000000000 _smm_max_size = 5000000

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Monitoring – The adjusted systemSQL> select name,round(value/1024/1024,1) as Mb from v$pgastat where unit = 'bytes';

NAME MB--------------------------------------- ----------aggregate PGA target parameter 8000aggregate PGA auto target 7139.4global memory bound 4882.8total PGA inuse 67.4total PGA allocated 2940.5maximum PGA allocated 9344.4total freeable PGA memory 2783.5PGA memory freed back to OS 2590908.6total PGA used for auto workareas 0maximum PGA used for auto workareas 6903.9total PGA used for manual workareas 0maximum PGA used for manual workareas 0.5bytes processed 13542884extra bytes read/written 1034611.9

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A big sort 1 - running

select operation_type, policy, sid, round(active_time/1000000,2) as a_sec,round(work_area_size/1024/1024,2) as wsize, round(expected_size/1024/1024,2) as exp, round(actual_mem_used/1024/1024,2) as act,round(max_mem_used/1024/1024,2) as max, number_passes as passes, round(tempseg_size/1024/1024,2) as tempfrom v$sql_workarea_active;

OPE POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP--- ------ ---- ------- -------- -------- -------- -------- ------- -----SOR AUTO 26 148.66 3589.75 3589.75 3108.88 3108.88 0

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A big sort 2 - spilling

select operation_type, policy, sid, round(active_time/1000000,2) as a_sec,round(work_area_size/1024/1024,2) as wsize, round(expected_size/1024/1024,2) as exp, round(actual_mem_used/1024/1024,2) as act,round(max_mem_used/1024/1024,2) as max, number_passes as passes, round(tempseg_size/1024/1024,2) as tempfrom v$sql_workarea_active;

OPER POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP---- ------ --- ------ ------- ----- ------- ------- ------ ----SORT AUTO 26 246.38 3589.75 46.41 3589.75 3589.75 0 1100

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A big sort 3 - spilled (first fetch)

select operation_type, policy, sid, round(active_time/1000000,2) as a_sec,round(work_area_size/1024/1024,2) as wsize, round(expected_size/1024/1024,2) as exp, round(actual_mem_used/1024/1024,2) as act,round(max_mem_used/1024/1024,2) as max, number_passes as passes, round(tempseg_size/1024/1024,2) as tempfrom v$sql_workarea_active;

OPER POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP ---- ------ --- ------ ----- ---- ---- ------- ------ ---- SORT AUTO 26 378.28 3.28 3.28 3.52 3589.75 1 2800

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Is it seriously using 3.5gb of ram?

Oh yes, even more !select round(pga_alloc_mem/1024/1024,1) as alloc_mb, round(pga_used_mem/1024/1024,1) as used_mb, round(pga_max_mem/1024/1024,1) as

max_mb, pid, spid, serial#, program, traceid, background, pga_freeable_memfrom v$process order by alloc_mb desc

ALLOC_MB USED_MB MAX_MB SPID PROGRAM PGA_FREEABLE_MEM-------- ------- ------ ------ ------------------------ ------ 4787.8 4780.1 4787.8 16291 oracle@test (TNS V1-V3) 0 10.9 0.2 10.9 4320 oracle@test (DBW0) 0 5.3 5.1 5.3 19355 oracle@test (TNS V1-V3) 0 5.3 5.1 5.3 19318 oracle@test (TNS V1-V3) 0 4.2 4.1 4.2 19312 oracle@test (NSV0) 0 1.4 1.3 1.4 16251 oracle@test (TNS V1-V3) 65536 1 0.4 1 16241 oracle@test (TNS V1-V3) 524288

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Checking doubts on the OS side I don’t believe that, that’s just oracle telling us/home/oracle> pmap -xs 16291|head 16291: oracleprod (LOCAL=NO) Address Kbytes RSS Anon Locked Pgsz Mode Mapped File 0000000100000000 2272 2272 - - 8K r-x-- oracle 0000000100238000 104 96 - - - r-x-- oracle

… /home/oracle> pmap -xs 16291|tail 7FFFFFFF7FE00000 176 176 - - 8K r-x-- ld.so.1 7FFFFFFF7FF2C000 16 16 16 - 8K rwx-- ld.so.1 FFFFFFFF7FFE0000 128 128 128 - 8K rw--- [ stack ] ---------------- ---------- ---------- -------- --------

total Kb 21931752 21904656 4907016 16961536 The above values are in Kb. ~16 gb sga + ~5 gb anonymous

memory, which is PGA = total 21 gb resident in use

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Not used doesn’t mean returned

select round(pga_alloc_mem/1024/1024,1) as alloc_mb, round(pga_used_mem/1024/1024,1) as used_mb, round(pga_max_mem/1024/1024,1) as max_mb, pid, spid, username, serial#, program, round(pga_freeable_mem/1024/1024,1) as freeable_mb

from v$process order by alloc_mb desc;

ALLOC_MB USED_MB MAX_MB PID SPID USERNAME SERIAL# PROGRAM FREEABLE_MB-------- ------- ------ --- ----- -------- ------- ------------- ----------- 4100 3.7 4787.8 25 16291 oracle 2 … (TNS V1-V3) 4096 10.9 0.2 10.9 3 4320 oracle 1 … (DBW0) 0 5.3 5.1 5.3 18 19355 oracle 10 … (TNS V1-V3) 0

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Wrap-up – what can be achieved

Use more memory for sorting/hashing Yet controlled automatically to

avoid swapping Resulting in improved response time and

less disk IO Resulting in more IO capacity available

for other tasks Basically fast = true

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The End

Thank you,

Questions?

[email protected]

Christo Kutrovsky

The Pythian Group

2005 Feb http://www.pythian.com/documents/Working_with_Automatic_PGA.ppt