distance checker make sure you see these select a value which is visible from last rows at 18 this...
TRANSCRIPT
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
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
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
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.
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
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
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)
Sorting response time
Response time
Memory used
Optimal
1 pass
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
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
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
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
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
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
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
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
Automatic PGA
Now to the “automatic” word
Global memory manager
Updates the “global memory bound” every 3 seconds
Reacts to over allocation by lowering the bound further
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
Drift
A drift of 10% is allowed When the limit is passed, a “foreground”
bound recompute occurs
Monitoring PGA activity
Overview
Details
Advisors
Monitoring - Overview SQL> select * from v$pgastat;
NAME VALUE UNIT -------------------------------------- ---------- --------aggregate PGA target parameter 2097152000 bytes aggregate PGA auto target 1866138624 bytes global memory bound 104857600 bytes total PGA inuse 23664640 bytes total PGA allocated 132822016 bytes maximum PGA allocated 564828160 bytes total freeable PGA memory 4194304 bytes PGA memory freed back to OS 2165370847 bytes total PGA used for auto workareas 0 bytes maximum PGA used for auto workareas 111509504 bytes total PGA used for manual workareas 0 bytes maximum PGA used for manual workareas 529408 bytes over allocation count 0 bytes processed 5318923366 bytes extra bytes read/written 2912501760 bytes cache hit percentage 99.45 percent
Monitoring - Overview – no bytesselect name,round(value/1024/1024,1) as Mb from v$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
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
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
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
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
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$sql_workarea where max_tempseg_size is not null;
OP ID POLICY E_OPT E_ONE L_MEM LAST TOT OPT ONE MULT SEC TMP_M TMP_L--------- -- ------- ----- ----- ----- ------ --- --- --- ---- ----- ----- -----HASH-JOIN 4 AUTO 47.91 4.09 36.03 1 PASS 158 0 158 0 90.99 45 40
The Advisors – been really lazy
Similar to v$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
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…
To make it work
And now what you need to make it work
Documented parameters
pga_aggregate_target that’s it
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
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
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 !
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
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
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
Monitoring – The adjusted systemSQL> select name,round(value/1024/1024,1) as Mb from v$pgastat where unit = 'bytes';
NAME MB--------------------------------------- ----------aggregate PGA target parameter 8000aggregate PGA auto target 7139.4global memory bound 4882.8total PGA inuse 67.4total PGA allocated 2940.5maximum PGA allocated 9344.4total freeable PGA memory 2783.5PGA memory freed back to OS 2590908.6total PGA used for auto workareas 0maximum PGA used for auto workareas 6903.9total PGA used for manual workareas 0maximum PGA used for manual workareas 0.5bytes processed 13542884extra bytes read/written 1034611.9
A big sort 1 - running
select operation_type, policy, sid, round(active_time/1000000,2) as a_sec,round(work_area_size/1024/1024,2) as wsize, round(expected_size/1024/1024,2) as exp, round(actual_mem_used/1024/1024,2) as act,round(max_mem_used/1024/1024,2) as max, number_passes as passes, round(tempseg_size/1024/1024,2) as tempfrom v$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
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$sql_workarea_active;
OPER POLICY SID A_SEC WSIZE EXP ACT MAX PASSES TEMP---- ------ --- ------ ------- ----- ------- ------- ------ ----SORT AUTO 26 246.38 3589.75 46.41 3589.75 3589.75 0 1100
A big sort 3 - spilled (first fetch)
select operation_type, policy, sid, round(active_time/1000000,2) as a_sec,round(work_area_size/1024/1024,2) as wsize, round(expected_size/1024/1024,2) as exp, round(actual_mem_used/1024/1024,2) as act,round(max_mem_used/1024/1024,2) as max, number_passes as passes, round(tempseg_size/1024/1024,2) as tempfrom v$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
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$process order by alloc_mb desc
ALLOC_MB USED_MB MAX_MB SPID PROGRAM PGA_FREEABLE_MEM-------- ------- ------ ------ ------------------------ ------ 4787.8 4780.1 4787.8 16291 oracle@test (TNS V1-V3) 0 10.9 0.2 10.9 4320 oracle@test (DBW0) 0 5.3 5.1 5.3 19355 oracle@test (TNS V1-V3) 0 5.3 5.1 5.3 19318 oracle@test (TNS V1-V3) 0 4.2 4.1 4.2 19312 oracle@test (NSV0) 0 1.4 1.3 1.4 16251 oracle@test (TNS V1-V3) 65536 1 0.4 1 16241 oracle@test (TNS V1-V3) 524288
Checking doubts on the OS side I don’t believe that, that’s just oracle telling us/home/oracle> pmap -xs 16291|head 16291: oracleprod (LOCAL=NO) Address Kbytes RSS Anon Locked Pgsz Mode Mapped File 0000000100000000 2272 2272 - - 8K r-x-- oracle 0000000100238000 104 96 - - - r-x-- oracle
… /home/oracle> pmap -xs 16291|tail 7FFFFFFF7FE00000 176 176 - - 8K r-x-- ld.so.1 7FFFFFFF7FF2C000 16 16 16 - 8K rwx-- ld.so.1 FFFFFFFF7FFE0000 128 128 128 - 8K rw--- [ stack ] ---------------- ---------- ---------- -------- --------
total Kb 21931752 21904656 4907016 16961536 The above values are in Kb. ~16 gb sga + ~5 gb anonymous
memory, which is PGA = total 21 gb resident in use
Not used doesn’t mean returned
select round(pga_alloc_mem/1024/1024,1) as alloc_mb, round(pga_used_mem/1024/1024,1) as used_mb, round(pga_max_mem/1024/1024,1) as max_mb, pid, spid, username, serial#, program, round(pga_freeable_mem/1024/1024,1) as freeable_mb
from v$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
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
The End
Thank you,
Questions?
Christo Kutrovsky
The Pythian Group
2005 Feb http://www.pythian.com/documents/Working_with_Automatic_PGA.ppt