v$ db_cache_advice
Hi guys,.
DB version: 12.1.0.1
Based on the v$ db_cache_advice, if I increase my buffer cache to the factor of size 1.0732 (from 10496 Mo Mo 11264), physical readings will be reduced to 0.8905 (from 123249 to 109752). "Judging by the Advisory Committee (metalink notes 754639.1), it seems that increase the size of the cache will help with performance because the rate of increase of the size Factor" is substantially less than the rate of reduction of self-esteem "Physics read Factor. Am I right?
Just puzzled because my db cache size is 10 GB (big enough) and buffer cache hit ratio is 99.5%, why don't the Advisory Committee further recommends to increase the size of the cache? What should I increase proactively as good practice (without complaint to demand far response time)?
Please share your thoughts or any advise on that.
v$ db_cache_advice attached.
Thank you
Marie LAURE DIA says:
Because v$ views are not reliable.
This is a rather general statement: v$ views are based on virtual tables, constructed from structures of memory - they are as reliable as possible.
Another question is whether the results of v$ db_cache_advice are important in the given situation - and like others, I would say that the small benefit listed by the Advisor for the increase in the size of a cache already large buffer is probably not worth the effort.
Tags: Database
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Firstly, thank you for posting the 10g implementation plan, which was one of the key things that we were missing.
Second, you realize that you have completely different execution plans, so you can expect different behavior on each system.
Your package of 10g has a total cost of 23 959 while your plan of 12 c has a cost of 95 373 which is almost 4 times more. All things being equal, cost is supposed to relate directly to the time spent, so I expect the 12 c plan to take much more time to run.
From what I can see the 10g plan begins with a scan of full table on DEALERS, and then a full scan on SCARF_VEHICLE_EXCLUSIONS table, and then a full scan on CBX_tlemsani_2000tje table, and then a full scan on CLAIM_FACTS table. The first three of these analyses tables have a very low cost (2 each), while the last has a huge cost of 172K. Yet once again, the first three scans produce very few lines in 10g, less than 1,000 lines each, while the last product table scan 454 K lines.
It also looks that something has gone wrong in the 10g optimizer plan - maybe a bug, which I consider that Jonathan Lewis commented. Despite the full table scan with a cost of 172 K, NESTED LOOPS it is part of the only has a cost of 23 949 or 24 K. If the math is not in terms of 10g. In other words, maybe it's not really optimal plan because 10g optimizer may have got its sums wrong and 12 c might make his right to the money. But luckily this 'imperfect' 10g plan happens to run fairly fast for one reason or another.
The plan of 12 starts with similar table scans but in a different order. The main difference is that instead of a full table on CLAIM_FACTS scan, it did an analysis of index on CLAIM_FACTS_AK9 beach at the price of 95 366. It is the only main component of the final total cost of 95 373.
Suggestions for what to do? It is difficult, because there is clearly an anomaly in the system of 10g to have produced the particular execution plan that he uses. And there is other information that you have not provided - see later.
You can try and force a scan of full table on CLAIM_FACTS by adding a suitable example suspicion "select / * + full (CF) * / cf.vehicle_chass_no...". "However, the tips are very difficult to use and does not, guarantee that you will get the desired end result. So be careful. For the essay on 12 c, it may be worth trying just to see what happens and what produces the execution plan looks like. But I would not use such a simple, unique tip in a production system for a variety of reasons. For testing only it might help to see if you can force the full table on CLAIM_FACTS scan as in 10g, and if the performance that results is the same.
The two plans are parallel ones, which means that the query is broken down into separate, independent steps and several steps that are executed at the same time, i.e. several CPUS will be used, and there will be several readings of the disc at the same time. (It is a mischaracterization of the works of parallel query how). If 10g and 12 c systems do not have the SAME hardware configuration, then you would naturally expect different time elapsed to run the same parallel queries. See the end of this answer for the additional information that you may provide.
But I would be very suspicious of the hardware configuration of the two systems. Maybe 10 g system has 16-core processors or more and 100's of discs in a matrix of big drives and maybe the 12 c system has only 4 cores of the processor and 4 disks. That would explain a lot about why the 12 c takes hours to run when the 10 g takes only 30 minutes.
Remember what I said in my last reply:
"Without any contrary information I guess the filter conditions are very low, the optimizer believes he needs of most of the data in the table and that a table scan or even a limited index scan complete is the"best"way to run this SQL. In other words, your query takes just time because your tables are big and your application has most of the data in these tables. "
When dealing with very large tables and to do a full table parallel analysis on them, the most important factor is the amount of raw hardware, you throw the ball to her. A system with twice the number of CPUS and twice the number of disks will run the same parallel query in half of the time, at least. It could be that the main reason for the 12 c system is much slower than the system of 10g, rather than on the implementation plan itself.
You may also provide us with the following information which would allow a better analysis:
- Row counts in each tables referenced in the query, and if one of them are partitioned.
- Hardware configurations for both systems - the 10g and the 12 a. Number of processors, the model number and speed, physical memory, CPU of discs.
- The discs are very important - 10g and 12 c have similar disk subsystems? You use simple old records, or you have a San, or some sort of disk array? Are the bays of identical drives in both systems? How are they connected? Fast Fibre Channel, or something else? Maybe even network storage?
- What is the size of the SGA in both systems? of values for MEMORY_TARGET and SGA_TARGET.
- The fact of the CLAIM_FACTS_AK9 index exist on the system of 10g. I guess he does, but I would like that it confirmed to be safe.
John Brady
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Fix the activation parameters for caching the results of the customer? No performance gain
I gathered and made every detail I could search. I use Oracle EE 11.2 g 32-bit on Windows 7 64 bit
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I see > difference 1 sec only when you enable caching of server (2nd opening files 300% faster 57 dry-> 18 s) and 32 MB are cached for the opening.
I don't know how to see the client_result_cache except the network traffic, detours, IO
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---------
HKEY_LOCAL_MACHINE > SOFTWARE > Wow6432Node > ORACLE > KEY_OraClient11g_home1 > OLED > StmtCacheSize
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-------
client_result_cache_lag... large integer 600000
client_result_cache_size... great integer.100M
...
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result_cache_max_size... big integer.100M-this is for caching wright + server
result_cache_mode... chain... FORCE
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-Is everything OK? Why not better time response then?
The LAN 1Gbit 1 customer is perhaps too fast anyway, and I should try via internet or something?
Hope that you have an idea, I can't search to find or think of something.As said by John, SQL * Plus does not implement caching the result to the client. You write an application for OIC (or another application that knows the OIC calls appropriate to make) that implements the setting cache the result of the customer.
Your test is behaving as expected.
Justin
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Oracle 10g, how to determine the memory allocated is healthy or sufficient.
Hi guys,.
I have a 10.2.0.5 production database.
Currently, my server has 8 GB of physical RAM.
/ 3GB is allocated to the SGA and 1 GB for the PGA.
Let's say a day is needed for the application (for example, weblogic) to increase the pool of connections from 20 to 50.
How are we able to know if the memory allocated is sufficient for the existing load as well as the increase in workload?
CPU is altogether would apply us we can generate on the CPU. If the load is low, I assumed is quite safe to increase the connection.
Please share your experiences of dealing with this situation.
Thank youChewy wrote:
How are we able to know if the memory allocated is sufficient for the existing load as well as the increase in workload?There are a set of views memory Advisor which will tell you if your memory structures of appropriate size:
v$ db_cache_advice
v$ shared_pool_advice
v$ java_pool_advice
v$ sga_target_advice
v$ pga_target_advice
--
John Watson
Oracle Certified Master s/n
http://skillbuilders.com -
The amount of memory actually are used? db_32k_cache_size
Hello world
Using Oracle 10 g on RHEL 5.3.
I was invited to check the amount of memory actually used by our db cache. Currently, we use the parameters db_32k_cache_size (defined by the user) and db_8k_cache_size (default), both allocated with 12 GB. Now I want to know if it is possible to find how on the 12 GB are actually used by the cache.
Is this possible?
Thank youmake you view tips help available in oracle.
V$ SGA_TARGET_ADVICE
V$ DB_CACHE_ADVICE -
Hello
in 10g R2, we can find what is advised on Dbconsole (DBCONTROLE) on BMG (Advisor Consultant Central/memory / SGA tab advice) in a table with a query?
In fact, in Performance Tuning Guide, I found the following to the size of the cache:
Thank you.COLUMN size_for_estimate FORMAT 999,999,999,999 heading 'Cache Size (MB)' COLUMN buffers_for_estimate FORMAT 999,999,999 heading 'Buffers' COLUMN estd_physical_read_factor FORMAT 999.90 heading 'Estd Phys|Read Factor' COLUMN estd_physical_reads FORMAT 999,999,999 heading 'Estd Phys| Reads' SELECT size_for_estimate, buffers_for_estimate, estd_physical_read_factor, estd_physical_reads FROM V$DB_CACHE_ADVICE WHERE name = 'DEFAULT' AND block_size = (SELECT value FROM V$PARAMETER WHERE name = 'db_block_size') AND advice_status = 'ON';
Hello
There are a lot of views that you can use the tuning of the SGA as advisers.
below there are views the tuning of a specific area in the SGA.
V$DB_CACHE_ADVICE V$SHARED_POOL_ADVICE V$JAVA_POOL_ADVICE V$STREAMS_POOL_ADVICE
below it is a view that can help you deal with BMG.
V$SGA_TARGET_ADVICE
You can query the Dictiorary to find all of the Councillors views
SELECT table_name FROM dict WHERE table_name LIKE '%ADVICE%';
HTH - johnxjean-
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