A SQL tuning issue-sql runs much slower in test than in production?

Hi Buddies,
I am working on a sql tuning issue. A sql runs much slower in test than in production.
I compared the two explain plans in test and production
seems in test, CBO refuses to use index SUBLEDGER_ENTRY_I2.
we rebuile it and re-gether that index statistcs. run, still slow..
I compared the init.ora parameters like hash_area_size, sort_area_size in test, they are same as production.
I wonder if any expert friend can show some light.
in production,
SQL> set autotrace traceonly
SQL> SELECT rpt_horizon_subledger_entry_vw.onst_offst_cd,
2 rpt_horizon_subledger_entry_vw.bkng_prd,
3 rpt_horizon_subledger_entry_vw.systm_afflt_cd,
4 rpt_horizon_subledger_entry_vw.jrnl_id,
5 rpt_horizon_subledger_entry_vw.ntrl_accnt_cd,
6 rpt_horizon_subledger_entry_vw.gnrl_ldgr_chrt_of_accnt_nm,
7 rpt_horizon_subledger_entry_vw.lgl_entty_brnch_cd,
8 rpt_horizon_subledger_entry_vw.crprt_melob_cd AS corp_mlb_cd,
rpt_horizon_subledger_entry_vw.onst_offst_cd, SUM (amt) AS amount
9 10 FROM rpt_horizon_subledger_entry_vw
11 WHERE rpt_horizon_subledger_entry_vw.bkng_prd = '092008'
12 AND rpt_horizon_subledger_entry_vw.jrnl_id = 'RCS0002100'
13 AND rpt_horizon_subledger_entry_vw.systm_afflt_cd = 'SAFF01'
14 GROUP BY rpt_horizon_subledger_entry_vw.onst_offst_cd,
15 rpt_horizon_subledger_entry_vw.bkng_prd,
16 rpt_horizon_subledger_entry_vw.systm_afflt_cd,
17 rpt_horizon_subledger_entry_vw.jrnl_id,
18 rpt_horizon_subledger_entry_vw.ntrl_accnt_cd,
19 rpt_horizon_subledger_entry_vw.gnrl_ldgr_chrt_of_accnt_nm,
20 rpt_horizon_subledger_entry_vw.lgl_entty_brnch_cd,
21 rpt_horizon_subledger_entry_vw.crprt_melob_cd,
22 rpt_horizon_subledger_entry_vw.onst_offst_cd;
491 rows selected.
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=130605 Card=218764 B
ytes=16407300)
1 0 SORT (GROUP BY) (Cost=130605 Card=218764 Bytes=16407300)
2 1 VIEW OF 'RPT_HORIZON_SUBLEDGER_ENTRY_VW' (Cost=129217 Ca
rd=218764 Bytes=16407300)
3 2 SORT (UNIQUE) (Cost=129217 Card=218764 Bytes=35877296)
4 3 UNION-ALL
5 4 HASH JOIN (Cost=61901 Card=109382 Bytes=17719884)
6 5 TABLE ACCESS (FULL) OF 'GNRL_LDGR_CHRT_OF_ACCNT'
(Cost=2 Card=111 Bytes=3774)
7 5 HASH JOIN (Cost=61897 Card=109382 Bytes=14000896
8 7 TABLE ACCESS (FULL) OF 'SUBLEDGER_CHART_OF_ACC
OUNT' (Cost=2 Card=57 Bytes=1881)
9 7 HASH JOIN (Cost=61893 Card=109382 Bytes=103912
90)
10 9 TABLE ACCESS (FULL) OF 'HORIZON_LINE' (Cost=
34 Card=4282 Bytes=132742)
11 9 HASH JOIN (Cost=61833 Card=109390 Bytes=7000
960)
12 11 TABLE ACCESS (BY INDEX ROWID) OF 'SUBLEDGE
R_ENTRY' (Cost=42958 Card=82076 Bytes=3611344)
13 12 INDEX (RANGE SCAN) OF 'SUBLEDGER_ENTRY_I
2' (NON-UNIQUE) (Cost=1069 Card=328303)
14 11 TABLE ACCESS (FULL) OF 'HORIZON_SUBLEDGER_
LINK' (Cost=14314 Card=9235474 Bytes=184709480)
15 4 HASH JOIN (Cost=61907 Card=109382 Bytes=18157412)
16 15 TABLE ACCESS (FULL) OF 'GNRL_LDGR_CHRT_OF_ACCNT'
(Cost=2 Card=111 Bytes=3774)
17 15 HASH JOIN (Cost=61903 Card=109382 Bytes=14438424
18 17 TABLE ACCESS (FULL) OF 'SUBLEDGER_CHART_OF_ACC
OUNT' (Cost=2 Card=57 Bytes=1881)
19 17 HASH JOIN (Cost=61899 Card=109382 Bytes=108288
18)
20 19 TABLE ACCESS (FULL) OF 'HORIZON_LINE' (Cost=
34 Card=4282 Bytes=132742)
21 19 HASH JOIN (Cost=61838 Card=109390 Bytes=7438
520)
22 21 TABLE ACCESS (BY INDEX ROWID) OF 'SUBLEDGE
R_ENTRY' (Cost=42958 Card=82076 Bytes=3939648)
23 22 INDEX (RANGE SCAN) OF 'SUBLEDGER_ENTRY_I
2' (NON-UNIQUE) (Cost=1069 Card=328303)
24 21 TABLE ACCESS (FULL) OF 'HORIZON_SUBLEDGER_
LINK' (Cost=14314 Card=9235474 Bytes=184709480)
Statistics
25 recursive calls
18 db block gets
343266 consistent gets
370353 physical reads
0 redo size
15051 bytes sent via SQL*Net to client
1007 bytes received via SQL*Net from client
34 SQL*Net roundtrips to/from client
1 sorts (memory)
1 sorts (disk)
491 rows processed
in test
SQL> set autotrace traceonly
SQL> SELECT rpt_horizon_subledger_entry_vw.onst_offst_cd,
2 rpt_horizon_subledger_entry_vw.bkng_prd,
3 rpt_horizon_subledger_entry_vw.systm_afflt_cd,
4 rpt_horizon_subledger_entry_vw.jrnl_id,
5 rpt_horizon_subledger_entry_vw.ntrl_accnt_cd,
rpt_horizon_subledger_entry_vw.gnrl_ldgr_chrt_of_accnt_nm,
6 7 rpt_horizon_subledger_entry_vw.lgl_entty_brnch_cd,
8 rpt_horizon_subledger_entry_vw.crprt_melob_cd AS corp_mlb_cd,
9 rpt_horizon_subledger_entry_vw.onst_offst_cd, SUM (amt) AS amount
10 FROM rpt_horizon_subledger_entry_vw
11 WHERE rpt_horizon_subledger_entry_vw.bkng_prd = '092008'
12 AND rpt_horizon_subledger_entry_vw.jrnl_id = 'RCS0002100'
AND rpt_horizon_subledger_entry_vw.systm_afflt_cd = 'SAFF01'
13 14 GROUP BY rpt_horizon_subledger_entry_vw.onst_offst_cd,
15 rpt_horizon_subledger_entry_vw.bkng_prd,
16 rpt_horizon_subledger_entry_vw.systm_afflt_cd,
17 rpt_horizon_subledger_entry_vw.jrnl_id,
18 rpt_horizon_subledger_entry_vw.ntrl_accnt_cd,
rpt_horizon_subledger_entry_vw.gnrl_ldgr_chrt_of_accnt_nm,
rpt_horizon_subledger_entry_vw.lgl_entty_brnch_cd,
rpt_horizon_subledger_entry_vw.crprt_melob_cd,
rpt_horizon_subledger_entry_vw.onst_offst_cd; 19 20 21 22
no rows selected
Execution Plan
0 SELECT STATEMENT Optimizer=CHOOSE (Cost=92944 Card=708 Bytes
=53100)
1 0 SORT (GROUP BY) (Cost=92944 Card=708 Bytes=53100)
2 1 VIEW OF 'RPT_HORIZON_SUBLEDGER_ENTRY_VW' (Cost=92937 Car
d=708 Bytes=53100)
3 2 SORT (UNIQUE) (Cost=92937 Card=708 Bytes=124962)
4 3 UNION-ALL
5 4 HASH JOIN (Cost=46456 Card=354 Bytes=60180)
6 5 TABLE ACCESS (FULL) OF 'SUBLEDGER_CHART_OF_ACCOU
NT' (Cost=2 Card=57 Bytes=1881)
7 5 NESTED LOOPS (Cost=46453 Card=354 Bytes=48498)
8 7 HASH JOIN (Cost=11065 Card=17694 Bytes=1362438
9 8 HASH JOIN (Cost=27 Card=87 Bytes=5133)
10 9 TABLE ACCESS (FULL) OF 'HORIZON_LINE' (Cos
t=24 Card=87 Bytes=2175)
11 9 TABLE ACCESS (FULL) OF 'GNRL_LDGR_CHRT_OF_
ACCNT' (Cost=2 Card=111 Bytes=3774)
12 8 TABLE ACCESS (FULL) OF 'HORIZON_SUBLEDGER_LI
NK' (Cost=11037 Card=142561 Bytes=2566098)
13 7 TABLE ACCESS (BY INDEX ROWID) OF 'SUBLEDGER_EN
TRY' (Cost=2 Card=1 Bytes=60)
14 13 INDEX (UNIQUE SCAN) OF 'SUBLEDGER_ENTRY_PK'
(UNIQUE) (Cost=1 Card=1)
15 4 HASH JOIN (Cost=46456 Card=354 Bytes=64782)
16 15 TABLE ACCESS (FULL) OF 'SUBLEDGER_CHART_OF_ACCOU
NT' (Cost=2 Card=57 Bytes=1881)
17 15 NESTED LOOPS (Cost=46453 Card=354 Bytes=53100)
18 17 HASH JOIN (Cost=11065 Card=17694 Bytes=1362438
19 18 HASH JOIN (Cost=27 Card=87 Bytes=5133)
20 19 TABLE ACCESS (FULL) OF 'HORIZON_LINE' (Cos
t=24 Card=87 Bytes=2175)
21 19 TABLE ACCESS (FULL) OF 'GNRL_LDGR_CHRT_OF_
ACCNT' (Cost=2 Card=111 Bytes=3774)
22 18 TABLE ACCESS (FULL) OF 'HORIZON_SUBLEDGER_LI
NK' (Cost=11037 Card=142561 Bytes=2566098)
23 17 TABLE ACCESS (BY INDEX ROWID) OF 'SUBLEDGER_EN
TRY' (Cost=2 Card=1 Bytes=73)
24 23 INDEX (UNIQUE SCAN) OF 'SUBLEDGER_ENTRY_PK'
(UNIQUE) (Cost=1 Card=1)
Statistics
1134 recursive calls
0 db block gets
38903505 consistent gets
598254 physical reads
60 redo size
901 bytes sent via SQL*Net to client
461 bytes received via SQL*Net from client
1 SQL*Net roundtrips to/from client
34 sorts (memory)
0 sorts (disk)
0 rows processed
Thanks a lot in advance
Jerry

Hi
Basically there are two kinds of tables
- fact
- lookup
The number of records in a lookup table is usually small.
The number of records in a fact table is usually huge.
However, in test systems the number of records in a fact table is often also small.
This results in different execution plans.
I notice again you don't post version and platform info, and you didn't make sure your explain is properly idented
Please read the FAQ to make sure it is properly idented.
Also using the word 'buddies' is as far as I am concerned nearing disrespect and rudeness.
Sybrand Bakker
Senior Oracle DBA

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    requires a backup drive that is at least twice the capacity of the
    drive being backed up.
Alternatively, get an external drive at least equal in size to the internal hard drive and make (and maintain) a bootable clone/backup. You can make a bootable clone using the Restore option of Disk Utility. You can also make and maintain clones with good backup software. My personal recommendations are (order is not significant):
1. Carbon Copy Cloner
2. Get Backup
3. Deja Vu
4. SuperDuper!
5. Synk Pro
6. Tri-Backup
Visit The XLab FAQs and read the FAQ on backup and restore. Also read How to Back Up and Restore Your Files. For help with using Time Machine visit Pondini's Time Machine FAQ for help with all things Time Machine.
Referenced software can be found at MacUpdate.
Additional Hints
Be sure you have an adequate amount of RAM installed for the number of applications you run concurrently. Be sure you leave a minimum of 10% of the hard drive's capacity as free space.
Add more RAM. If your computer has less than 2 GBs of RAM and you are using OS X Leopard or later, then you can do with more RAM. Snow Leopard and Lion work much better with 4 GBs of RAM than their system minimums. The more concurrent applications you tend to use the more RAM you should have.
Always maintain at least 15 GBs or 10% of your hard drive's capacity as free space, whichever is greater. OS X is frequently accessing your hard drive, so providing adequate free space will keep things from slowing down.
Check for applications that may be hogging the CPU:
Pre-Mavericks
Open Activity Monitor in the Utilities folder. Select All Processes from the Processes dropdown menu. Click twice on the CPU% column header to display in descending order. If you find a process using a large amount of CPU time (>=70,) then select the process and click on the Quit icon in the toolbar. Click on the Force Quit button to kill the process. See if that helps. Be sure to note the name of the runaway process so you can track down the cause of the problem.
Mavericks and later
Open Activity Monitor in the Utilities folder. Select All Processes from the View menu. Click on the CPU tab in the toolbar. Click twice on the CPU% column header to display in descending order. If you find a process using a large amount of CPU time (>=70,) then select the process and click on the Quit icon in the toolbar. Click on the Force Quit button to kill the process. See if that helps. Be sure to note the name of the runaway process so you can track down the cause of the problem.
Often this problem occurs because of a corrupted cache or preferences file or an attempt to write to a corrupted log file.

Firefox runs much slower with the new download of version 3.6.8

I downloaded Firefox 3.6.8 on Sat. 7/30. Now it seems to be running much slower and some websites take forever to download some pages. What can I do to get it running like it was before the download? I have windows 7 os
== URL of affected sites ==
http://

Same here but im running windows xp pro

Is the Core i7 processor comparable, much slower, or faster than the 2.8 Ghz core 2 duo from 2009?

I am looking to get a new MacBook Air, but when looking at the prices I am seeing the MacBook Pro 13" for the same price and a lot more guts (RAM and Processor). I am ok with spending the amount of money on the air if it means I get a computer that is like my iPad, which i love (flash based, snappy), but don't want it to be super slow.
I am coming off of a 17" 2.8Ghz MacBook Pro from 2009. I was happy with the speed and power of that machine. The most taxing thing I did was make a complilation of family movies in iMovie and burned them with iDVD once in the 2 years of ownership.
I mostly browse the internet and compose written documents, and keynote presentations.
I know my questions may seem stupid, but I don't know how significant the changes between i7 and Core 2 Duo are, so I ask the question:
I am wondering if the processing power in the core i7 will be somewhat comparable, much slower, or faster than the 2.8 Ghz Core 2 Duo I had in my 2009 computer?
Thanks for any help!!

Hi brosephb,
Like you I went through a similar comparison process. I bought the MacBook air 13" and up specced the processor and memory. I don't do anything taxing enough or frequently enough to NEED the extra power of the MacBook pro.
I am overjoyed at my air. It's gorgeous, the way it wakes instantly, it's speed and it's portableness is so endearing that I just don't use my iPad anymore. I read numerous reviews on it and the overwhelming opinion was it's addictive ease of use because of it's slim, light and rapid waking. At work I can hold the air with one hand, open it rapidly at will. It's just great but it's made my iPad redundant (for me anyway).
I see the new airs are even faster and I'm tempted to consider selling my 6 month old air and getting the new one, but, it runs a dream so I am happy to just be envious of the new one.
In short, unless you need the power (for your work) go for the air. I'm looking at a new iMac to use as a home work station. For the price of a new air I can get an iMac that will swallow any task for a good few years to come. And my air will suffice as my mobile companion. However, that's just me spoiling myself as, at the moment, I have no teal need for another mac. I may get the cinema display for any long winded tasks, as the screen size will help with multiple tasking.
A bit of a ramble, hope this is useful.

To run a piece of PL/SQL code, in TT is much slower than in ORACLE.

A piece of PL/SQL code , about 1500 lines, package is named rtmon_event, function in it is named rtmon_SHOLD_CUS_RPT;
the PL/SQL code is run in ORACLE.
Now I want to get fast speed, I think of TT.
I rewrite the PL/SQL code by grammer in TT.
But the speed in TT is much slower than the speed in ORACLE.
In ORACLE, to run the PL/SQL code, it need 80 seconds; but In TT, to run the PL/SQL code, it need 183 seconds;
How can I resolve the problem?
Btw: there are some joins of 2 tables, or 3 tables in rtmon_event.rtmon_SHOLD_CUS_RPT, and some complex DML in it.
The run method is :
declare
a number;
begin
a := rtmon_event.rtmon_SHOLD_CUS_RPT ;
end;
Thanks a lot.

The easiest way to view a plan is to use ttIsql and issue the command:
explain SQL-statement;
For example:
explain select a.ol1, b.col2 from taba a, tab b where a.key = b.key;
See the documentation that 'hitgon' pointed you to to help you interpret the plans.
Chris

SQL tuning issue

Hi, I would like some help tuning the following query:
SELECT distinct
cs.study,
de.STUDY_SITE Site,
iv.last_name INV,
de.PATIENT ,
pv.visit_number Visit,
-- REPLACE(asm.assessor_name, ',', '|') assessor_name,
de.DISCREPANCY_REV_STATUS_CODE Status,
FROM
RXC.discrepancy_management de, -- a view driven by table rxc.discrepancy_enties
RXC.procedures pd,
clinical_studies cs,
ocl_investigators iv,
rxa_des.clinical_planned_events pv,
dcis dc
-- s999$stable.asmasm asm -- a view, pls see comments below
WHERE
cs.study='999'
and de.PROCEDURE_ID=pd.PROCEDURE_ID
and de.clinical_study_id=cs.clinical_study_id
and iv.investigator_id=de.investigator_id
and de.clin_plan_eve_id=pv.clin_plan_eve_id
and pv.clin_study_id=cs.clinical_study_id
and cs.clinical_study_id=dc.clinical_study_id
and de.patient not like '99%'
and de.dci_id= dc.dci_id
and de.discrepancy_status_code not in ('OBSOLETE')
and de.discrepancy_rev_status_code in ('INV REVIEW','INV PENDING')
--and de.patient = asm.pt(+)
--and de.clin_plan_eve_name = asm.cpevent(+)
--and asm.assessor_name(+) is not null
and nvl(asm.subsetsn, 99) in (12,15,99) this might not work
The above query takes 16 seconds to run but when I add in the view "s999$stable.asmasm asm" execution time drops
to about 25 mins. Looking at the related explain plans the difference is an index lookup on RXC.DISCREPANCY_ENTRIES (the driving
table used in view RXC.discrepancy_management) is dropped and replaced by a full table scan resulting in a large increase in the cost.
I've tried using the following hints without any success...
/*+ NO_MERGE(s9999$stable.asmasm) INDEX(DISCREPANCY_MANAGEMENT.DISCREPANCY_ENTRIES DISCREPANCY_ENT_CS_IDX */
Any help on the cause and fix for this issue would be much appreciated.

When your query takes too long ...
HOW TO: Post a SQL statement tuning request - template posting

CS6 JavaScript Running Much Slower than ActionScript

Dear All,
In advance of the next version of InDesign CC, which will only support HTML5 and JavaScript, I converted all of my Extension's business logic from ActionScript to JavaScript - about 20,000 lines of code.
I am using CS6 to run my Extension, and I call my JavaScript methods from within legacy Flex/ActionScript event-handler code using this methodology:
[Embed(source="MyJSModule1.jsx", mimeType= "application/octet-stream" )]
private static var _myJSModule1:Class;
[Embed(source="MyJSModule2.jsx", mimeType= "application/octet-stream" )]
private static var _myJSModule2:Class;
_interface = HostObject.getRoot(HostObject.extensions[0]);
public static function Initialize()
_interface.eval(new _myJSModule1.toString());
_interface.eval(new _myJSModule2.toString());
_interface.myJSMethod();
I have found that my InDesign Extension runs about 5 times slower in JavaScript than it did in ActionScript.
Posts I read on the web seemed to indicate that JS would only be about 30% slower.
Would the upcoming V8-based and Node.js-supporting environment be any faster?
I really, really need help with this.
TIA,
mlavie

Hmm,
at that project/code size you get at plenty points where things matter that would be irrelevant in smaller scripts. A few years ago I extended and re-architectured a similar project, by thorough optimizations we got an speed increase of roughly tenfold, of course partially eaten up by new features.
For the beginning: rather than issuing 80 evals, for deployment I'd compile such an enormous pile of sources into a single file. For debugging, #include is much more fun.
As you mention argument passing of large xml, that's one area where ExtendScript can seriously slow down. Besides you'll probably find a size limit of about 64k for the underlying XML. We used InDesign document XML for working data, while smaller configuration data was parsed into js objects as soon as possible. I wrote a JSX abstraction layer that would work on either kind of XML.
Next problem - number of prototype slots. It definitely makes a difference if you have too much, I partitioned objects into cross-linked clusters, similar to the plugin object model (boss classes), the whole enchilada supported by an underlying framework that generated JSX collections etc. by a few declarations, roughly the equivalent to templates in other languages.
At least you're using prototypes - one really big issue with ExtendScript is the explosion of object allocations when you apply the typical closure-based JavaScript style from web programming. Eliminating them was a very big effort in our rewrite, but also gave a pretty good improvement. At least ExtendScript can produce allocation statistics, use them. Also use them to find and eliminate circular link object leaks etc. A while ago I wrote a diff utility that extends $.summary(), InDesign Server also has some goodies.
Have you noticed ESTK's profiler? Unfortunately it just gave up at our code size, probably it will also for yours. Instead I used an own profiler with several additions, e.g. I could apply the profiler selectively to some modules while already optimized modules were skipped. It really helps to know your candidates when management pressures for "quick wins" ... Where is most absolute computation time burnt, or what methods are invoked a couple 10000 times too often for your gut feeling. Again, eliminate dead code and thus reduce prototype/object slot count. When your central class has 100s properties and matching get/set methods, eliminating them one by one produces measurable improvements.
Of course I also tracked down some offending statements where the same value was assigned over and over again causing severe text recomposition while nothing was actually changed ... You can only find such problems with exact measurements.
Other areas of fun: under the hood (at C++ level) every temporary text expression is backed by an enormous aggregation "suite", there are many things you can do wrong there. For example these things just pile up and are rarely purged, therefor it has become common wisdom to do an occasional save() for lengthy scripts.
Again at the XML side: if you do severe document XML (we did), there are some circumstances where text attributes will get lost/ignored. There are ways to speed up expressions underlying references to document XML, and so forth. To know when to rebuild the XML expressions or when they can be reused is a science for itself. Same goes for other objects, as you already mention getElements(). Sometimes it helps, sometimes it is just a waste of execution time.
As you mention the advantage of SSDs: How frequently do you dump those jsx sources into ExtendScript? If you currently use the "main" session (is that possible for HTML extensions at all?), utilize persistent sessions instead - when you have eliminated your object leaks.
There are plenty more optimizations, I probably should write a book - to be sold in about 5 copies. Unfortunately the strongest advice in its preface would be to not use ExtendScript/JavaScript at all for large scale projects, because they turn into a maintenance nightmare where other languages catch errors on compile time. Dependent on client preference I'd probably turn to Java or do the whole thing in C++, at increasing code size development speed will be roughly on par.

A SQL tuning issue-sql runs much slower in test than in production?

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