Automatic Parallelism causes Merge statement to take longer.
We have a problem in a new project as part of the ETL load into the Oracle datawarehouse we perform a merge statement to update rows in a global temporary table then load
the results into a permanant table, when testing with automatic parallel execution enabled the plan changes and the merge never finishes and consumes vast amounts of resources.
The database version is:-
Database version :11.2.0.3
OS: redhat 64bit
three node rac 20 cores per node
when executing serially the query response is typically similar to the following:
MERGE /*+ gather_plan_statistics no_parallel */ INTO T_GTTCHARGEVALUES USING
(SELECT
CASTACCOUNTID,
CHARGESCHEME,
MAX(CUMULATIVEVALUE) AS MAXMONTHVALUE,
MAX(CUMULATIVECOUNT) AS MAXMONTHCOUNT
FROM
V_CACHARGESALL
WHERE
CHARGEDATE >= TRUNC(TO_DATE(:B1,'YYYY-MM-DD'),'MM')
AND CHARGEDATE < TO_DATE(:B1,'YYYY-MM-DD')
GROUP BY
CASTACCOUNTID,
CHARGESCHEME
HAVING MAX(CUMULATIVECOUNT) IS NOT NULL ) MTOTAL
ON
(T_GTTCHARGEVALUES.CASTACCOUNTID=MTOTAL.CASTACCOUNTID AND
T_GTTCHARGEVALUES.CHARGESCHEME=MTOTAL.CHARGESCHEME)
WHEN MATCHED
THEN UPDATE SET
CUMULATIVEVALUE=CUMULATIVEVALUE+MTOTAL.MAXMONTHVALUE ,
CUMULATIVECOUNT=CUMULATIVECOUNT+MTOTAL.MAXMONTHCOUNT;
1448340 rows merged.
select * from table(dbms_xplan.display_cursor(null,null,'ALLSTATS LAST'));
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem |
| 0 | MERGE STATEMENT | | 1 | | 0 |00:03:08.43 | 2095K| 186K| | | |
| 1 | MERGE | T_GTTCHARGEVALUES | 1 | | 0 |00:03:08.43 | 2095K| 186K| | | |
| 2 | VIEW | | 1 | | 1448K|00:02:53.14 | 619K| 177K| | | |
|* 3 | HASH JOIN | | 1 | 1 | 1448K|00:02:52.70 | 619K| 177K| 812K| 812K| 1218K (0)|
| 4 | VIEW | | 1 | 1 | 203 |00:02:51.26 | 608K| 177K| | | |
|* 5 | FILTER | | 1 | | 203 |00:02:51.26 | 608K| 177K| | | |
| 6 | SORT GROUP BY | | 1 | 1 | 480 |00:02:51.26 | 608K| 177K| 73728 | 73728 | |
|* 7 | FILTER | | 1 | | 21M|00:02:56.04 | 608K| 177K| | | |
| 8 | PARTITION RANGE ITERATOR| | 1 | 392K| 21M|00:02:51.32 | 608K| 177K| | | |
|* 9 | TABLE ACCESS FULL | T_CACHARGES | 24 | 392K| 21M|00:02:47.48 | 608K| 177K| | | |
| 10 | TABLE ACCESS FULL | T_GTTCHARGEVALUES | 1 | 1451K| 1451K|00:00:00.48 | 10980 | 0 | | | |
Predicate Information (identified by operation id):
3 - access("T_GTTCHARGEVALUES"."CASTACCOUNTID"="MTOTAL"."CASTACCOUNTID" AND "T_GTTCHARGEVALUES"."CHARGESCHEME"="MTOTAL"."CHARGESCHEME")
5 - filter(MAX("CUMULATIVECOUNT") IS NOT NULL)
7 - filter(TRUNC(TO_DATE(:B1,'YYYY-MM-DD'),'fmmm')<TO_DATE(:B1,'YYYY-MM-DD'))
9 - filter(("LOGICALLYDELETED"=0 AND "CHARGEDATE">=TRUNC(TO_DATE(:B1,'YYYY-MM-DD'),'fmmm') AND "CHARGEDATE"<TO_DATE(:B1,'YYYY-MM-DD')))removing the no_parallel hint results in the following, (this is pulled from the sql monitoring report and editied to remove the lines relating to individual parallel servers)
I understand that the query is considered for parallel execution due to the estimated length of time it will run for and although the degree of parallleism seems excessive
it is the default maximum for the server configuration, what we are tryig to understand is which statistics could be inacurate or missing and could cause this kind of problem.
In this case we can add the no_parallel hint in the etl package as a workaround but would really liek to identify the root cause to avoid similar problems elsewhere.
SQL Monitoring Report
SQL Text
MERGE INTO T_GTTCHARGEVALUES USING (SELECT CASTACCOUNTID, CHARGESCHEME, MAX(CUMULATIVEVALUE) AS MAXMONTHVALUE,
MAX(CUMULATIVECOUNT) AS MAXMONTHCOUNT FROM V_CACHARGESALL WHERE CHARGEDATE >= TRUNC(TO_DATE(:B1,'YYYY-MM-DD'),'MM')
AND CHARGEDATE < to_date(:B1,'YYYY-MM-DD')
GROUP BY CASTACCOUNTID, CHARGESCHEME HAVING MAX(CUMULATIVECOUNT) IS NOT NULL ) MTOTAL
ON (T_GTTCHARGEVALUES.CASTACCOUNTID=MTOTAL.CASTACCOUNTID AND
T_GTTCHARGEVALUES.CHARGESCHEME=MTOTAL.CHARGESCHEME) WHEN MATCHED THEN UPDATE SET
CUMULATIVEVALUE=CUMULATIVEVALUE+MTOTAL.MAXMONTHVALUE ,
CUMULATIVECOUNT=CUMULATIVECOUNT+MTOTAL.MAXMONTHCOUNT
Error: ORA-1013
ORA-01013: user requested cancel of current operation
Global Information
Status : DONE (ERROR)
Instance ID : 1
Session : XXXX(2815:12369)
SQL ID : 70kzttjbyyspt
SQL Execution ID : 16777216
Execution Started : 04/27/2012 09:43:27
First Refresh Time : 04/27/2012 09:43:27
Last Refresh Time : 04/27/2012 09:48:43
Duration : 316s
Module/Action : SQL*Plus/-
Service : SYS$USERS
Program : sqlplus@XXXX (TNS V1-V3)
Binds
========================================================================================================================
| Name | Position | Type | Value |
========================================================================================================================
| :B1 | 1 | VARCHAR2(32) | 2012-04-25 |
========================================================================================================================
Global Stats
====================================================================================================================
| Elapsed | Queuing | Cpu | IO | Application | Concurrency | Cluster | Other | Buffer | Read | Read |
| Time(s) | Time(s) | Time(s) | Waits(s) | Waits(s) | Waits(s) | Waits(s) | Waits(s) | Gets | Reqs | Bytes |
====================================================================================================================
| 7555 | 0.00 | 4290 | 2812 | 0.08 | 27 | 183 | 243 | 3M | 294K | 7GB |
====================================================================================================================
SQL Plan Monitoring Details (Plan Hash Value=323941584)
==========================================================================================================================================================================================================
| Id | Operation | Name | Rows | Cost | Time | Start | Execs | Rows | Read | Read | Mem | Activity | Activity Detail |
| | | | (Estim) | | Active(s) | Active | | (Actual) | Reqs | Bytes | (Max) | (%) | (# samples) |
==========================================================================================================================================================================================================
| 0 | MERGE STATEMENT | | | | | | 1 | | | | | | |
| 1 | MERGE | T_GTTCHARGEVALUES | | | | | 1 | | | | | | |
| 2 | PX COORDINATOR | | | | 57 | +1 | 481 | 0 | 317 | 5MB | | 4.05 | latch: shared pool (40) |
| | | | | | | | | | | | | | os thread startup (17) |
| | | | | | | | | | | | | | Cpu (7) |
| | | | | | | | | | | | | | DFS lock handle (36) |
| | | | | | | | | | | | | | SGA: allocation forcing component growth (14) |
| | | | | | | | | | | | | | latch: parallel query alloc buffer (200) |
| 3 | PX SEND QC (RANDOM) | :TQ10003 | 1 | 19054 | | | | | | | | | |
| 4 | VIEW | | | | | | | | | | | | |
| 5 | FILTER | | | | | | | | | | | | |
| 6 | SORT GROUP BY | | 1 | 19054 | | | | | | | | | |
| 7 | PX RECEIVE | | 1 | 19054 | | | | | | | | | |
| 8 | PX SEND HASH | :TQ10002 | 1 | 19054 | | | 240 | | | | | | |
| 9 | SORT GROUP BY | | 1 | 19054 | 246 | +70 | 240 | 0 | | | 228M | 49.32 | Cpu (3821) |
| 10 | FILTER | | | | 245 | +71 | 240 | 3G | | | | 0.08 | Cpu (6) |
| 11 | HASH JOIN | | 1 | 19054 | 259 | +57 | 240 | 3G | | | 276M | 4.31 | Cpu (334) |
| 12 | PX RECEIVE | | 1M | 5 | 259 | +57 | 240 | 1M | | | | 0.04 | Cpu (3) |
| 13 | PX SEND HASH | :TQ10000 | 1M | 5 | 6 | +56 | 240 | 1M | | | | 0.01 | Cpu (1) |
| 14 | PX BLOCK ITERATOR | | 1M | 5 | 6 | +56 | 240 | 1M | | | | 0.03 | Cpu (1) |
| | | | | | | | | | | | | | PX Deq: reap credit (1) |
| 15 | TABLE ACCESS FULL | T_GTTCHARGEVALUES | 1M | 5 | 7 | +55 | 5486 | 1M | 5487 | 86MB | | 2.31 | gc cr grant 2-way (3) |
| | | | | | | | | | | | | | gc current block lost (7) |
| | | | | | | | | | | | | | Cpu (7) |
| | | | | | | | | | | | | | db file sequential read (162) |
| 16 | PX RECEIVE | | 78M | 19047 | 255 | +61 | 240 | 801K | | | | 0.03 | IPC send completion sync (2) |
| 17 | PX SEND HASH | :TQ10001 | 78M | 19047 | 250 | +66 | 240 | 3M | | | | 0.06 | Cpu (5) |
| 18 | PX BLOCK ITERATOR | | 78M | 19047 | 250 | +66 | 240 | 4M | | | | | |
| 19 | TABLE ACCESS FULL | T_CACHARGES | 78M | 19047 | 254 | +62 | 1016 | 4M | 288K | 6GB | | 37.69 | gc buffer busy acquire (104) |
| | | | | | | | | | | | | | gc cr block 2-way (1) |
| | | | | | | | | | | | | | gc cr block lost (9) |
| | | | | | | | | | | | | | gc cr grant 2-way (14) |
| | | | | | | | | | | | | | gc cr multi block request (1) |
| | | | | | | | | | | | | | gc current block 2-way (3) |
| | | | | | | | | | | | | | gc current block 3-way (2) |
| | | | | | | | | | | | | | gc current block busy (1) |
| | | | | | | | | | | | | | gc current grant busy (2) |
| | | | | | | | | | | | | | Cpu (58) |
| | | | | | | | | | | | | | latch: gc element (1) |
| | | | | | | | | | | | | | db file parallel read (26) |
| | | | | | | | | | | | | | db file scattered read (207) |
| | | | | | | | | | | | | | db file sequential read (2433) |
| | | | | | | | | | | | | | direct path read (1) |
| | | | | | | | | | | | | | read by other session (57) |
==========================================================================================================================================================================================================
Parallel Execution Details (DOP=240 , Servers Allocated=480)
Instances : 3
chris_c wrote:
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem |
|* 9 | TABLE ACCESS FULL | T_CACHARGES | 24 | 392K| 21M|00:02:47.48 | 608K| 177K| | | |
Based on the discrepancy between the estimated number of rows and the actual, and the below posted bind value of 2012-04-25 i'd first be checking if the statistics on T_CACHARGES are up to date.
As a reference
http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:4399338600346902127
So that would be my first avenue of exploration.
Cheers,
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Version : 11.1.0.7.0
I have an insert statement like following which is taking less than 2 secs to complete and inserts around 4000 rows:
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If I execute the same select statement with the WHERE clause outside the MERGE statement, it takes just 1 sec to return the data.
Is there any known issue with MERGE statement while implementing using above scenario?riedelme wrote:
Are your join columns indexed?
Yes, the join columns are indexed.
You are doing a remote query inside the merge; remote queries can slow things down. Do you have to select all thr rows from the remote table? What if you copied them locally using a materialized view?Yes, I agree that remote queries will slow things down. But the same is not happening while select, insert and pl/sql. It happens only when we are using MERGE. I have to test what happens if we use a subquery refering to a local table or materialized view. Even if it works, I think there is still a problem with MERGE in case of remote subqueries (atleast till I test local queries). I wish some one can test similar scenarios so that we can know whether it is a genuine problem or some specific problem from my side.
>
BTW, I haven't had great luck with MERGE either :(. Last time I tried to use it I found it faster to use a loop with insert/update logic.
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http://social.msdn.microsoft.com/Forums/sharepoint/en-US/f4cad578-f3bc-4822-b660-47ad27ce094a/sharepoint-2007-crawl-taking-long-time-to-complete?forum=sharepointgeneralprevious
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http://technet.microsoft.com/en-us/library/ff468695%28v=office.14%29.aspx
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I maintain the document as a DOC file (Word 97-2003 Compatibility Mode) because I need to share the document with an organization that requires this format.
The document flips back and forth a few times between being a one-column and two-column document.
The document has a table of contents on the last page.
The headings in the document have embedded section and subsection numbers.
The document has numerous embedded SEQ and cross-reference fields.
The document has embedded EMF pictures that were generated by a non-Microsoft application.
The long times to save the file and the temporary solution I’ve found to the problem suggest that some "junk" is accumulating “in” the last paragraph mark. This junk doesn't cause any operational errors, but it slows things down to the point where
the auto-save times out and I temporarily get the distracting "not responding" message. It would be nice if Word could automatically eliminate the junk in the last paragraph mark so that I wouldn’t have to do it manually.
Do you have any suggestions for how I might eliminate the problem?
I'd be pleased to send a copy of the slow-saving file to a Microsoft Word programmer for diagnosis of the problem.
I have up-to-date Windows 7 professional (64 bit) and Word 2010 14.0.6129.5000 (32 bit).
Thanks for your help,
Don MacnaughtonI am experiencing exactly the same save issue, although I cannot use the suggestion of copying to a new document as I have allot of references within the same document and I'm scared that I'll loose them (or mess them up).
It is nearly a year later, did you have any luck?
Francois,
I'm still experiencing the problem. However, I've now converted the document from a DOC to a DOCX, but that made no difference. So every 18 or so days I copy all of the document into a new document except for the last paragraph mark
and the problem goes away for another 18 or so days. For my document this solution is fully reliable although it's less convenient because it's a little complicated and I worry I may make a mistake or some text may be lost in the transition.
So I'm still looking for a solution to the problem. Is there anything unique about your document or your handling of the document that might be the cause of the problem? Are you using macros, Compare Versions, switching back and forth between
one and two columns, or anything else that is common to the features that I list in my first post in this thread?
You might want to try my copying solution as a test while keeping your original document as the official version that you continue to work with. You could then check the test document very carefully to see if my solution works with your
document. You might find that you can trust my solution (or you might not).
By the way, I make sure that the copy worked properly by doing a Compare Versions of the old and new documents. (Surprisingly, sometimes the compare finds very minor differences between the two documents, but usually not.)
If the problem really bothers you, you can hire Microsoft Support, although that will cost you some money. If you do that, please let us know the outcome.
Don Macnaughton -
SQL Update statement taking too long..
Hi All,
I have a simple update statement that goes through a table of 95000 rows that is taking too long to update; here are the details:
Oracle Version: 11.2.0.1 64bit
OS: Windows 2008 64bit
desc temp_person;
Name Null? Type
PERSON_ID NOT NULL NUMBER(10)
DISTRICT_ID NOT NULL NUMBER(10)
FIRST_NAME VARCHAR2(60)
MIDDLE_NAME VARCHAR2(60)
LAST_NAME VARCHAR2(60)
BIRTH_DATE DATE
SIN VARCHAR2(11)
PARTY_ID NUMBER(10)
ACTIVE_STATUS NOT NULL VARCHAR2(1)
TAXABLE_FLAG VARCHAR2(1)
CPP_EXEMPT VARCHAR2(1)
EVENT_ID NOT NULL NUMBER(10)
USER_INFO_ID NUMBER(10)
TIMESTAMP NOT NULL DATE
CREATE INDEX tmp_rs_PERSON_ED ON temp_person (PERSON_ID,DISTRICT_ID) TABLESPACE D_INDEX;
Index created.
ANALYZE INDEX tmp_PERSON_ED COMPUTE STATISTICS;
Index analyzed.
explain plan for update temp_person
2 set first_name = (select trim(f_name)
3 from ext_names_csv
4 where temp_person.PERSON_ID=ext_names_csv.p_id
5 and temp_person.DISTRICT_ID=ext_names_csv.ed_id);
Explained.
@?/rdbms/admin/utlxpls.sql
PLAN_TABLE_OUTPUT
Plan hash value: 3786226716
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | UPDATE STATEMENT | | 82095 | 4649K| 2052K (4)| 06:50:31 |
| 1 | UPDATE | TEMP_PERSON | | | | |
| 2 | TABLE ACCESS FULL | TEMP_PERSON | 82095 | 4649K| 191 (1)| 00:00:03 |
|* 3 | EXTERNAL TABLE ACCESS FULL| EXT_NAMES_CSV | 1 | 178 | 24 (0)| 00:00:01 |
Predicate Information (identified by operation id):
3 - filter("EXT_NAMES_CSV"."P_ID"=:B1 AND "EXT_NAMES_CSV"."ED_ID"=:B2)
Note
- dynamic sampling used for this statement (level=2)
19 rows selected.By the looks of it the update is going to take 6 hrs!!!
ext_names_csv is an external table that have the same number of rows as the PERSON table.
ROHO@rohof> desc ext_names_csv
Name Null? Type
P_ID NUMBER
ED_ID NUMBER
F_NAME VARCHAR2(300)
L_NAME VARCHAR2(300)Anyone can help diagnose this please.
Thanks
Edited by: rsar001 on Feb 11, 2011 9:10 PMThank you all for the great ideas, you have been extremely helpful. Here is what we did and were able to resolve the query.
We started with Etbin's idea to create a table from the ext table so that we can index and reference easier than an external table, so we did the following:
SQL> create table ext_person as select P_ID,ED_ID,trim(F_NAME) fst_name,trim(L_NAME) lst_name from EXT_NAMES_CSV;
Table created.
SQL> desc ext_person
Name Null? Type
P_ID NUMBER
ED_ID NUMBER
FST_NAME VARCHAR2(300)
LST_NAME VARCHAR2(300)
SQL> select count(*) from ext_person;
COUNT(*)
93383
SQL> CREATE INDEX EXT_PERSON_ED ON ext_person (P_ID,ED_ID) TABLESPACE D_INDEX;
Index created.
SQL> exec dbms_stats.gather_index_stats(ownname=>'APPD', indname=>'EXT_PERSON_ED',partname=> NULL , estimate_percent=> 30 );
PL/SQL procedure successfully completed.We had a look at the plan with the original SQL query that we had:
SQL> explain plan for update temp_person
2 set first_name = (select fst_name
3 from ext_person
4 where temp_person.PERSON_ID=ext_person.p_id
5 and temp_person.DISTRICT_ID=ext_person.ed_id);
Explained.
SQL> @?/rdbms/admin/utlxpls.sql
PLAN_TABLE_OUTPUT
Plan hash value: 1236196514
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | UPDATE STATEMENT | | 93383 | 1550K| 186K (50)| 00:37:24 |
| 1 | UPDATE | TEMP_PERSON | | | | |
| 2 | TABLE ACCESS FULL | TEMP_PERSON | 93383 | 1550K| 191 (1)| 00:00:03 |
| 3 | TABLE ACCESS BY INDEX ROWID| EXTT_PERSON | 9 | 1602 | 1 (0)| 00:00:01 |
|* 4 | INDEX RANGE SCAN | EXT_PERSON_ED | 1 | | 1 (0)| 00:00:01 |
Predicate Information (identified by operation id):
4 - access("EXT_PERSON"."P_ID"=:B1 AND "RS_PERSON"."ED_ID"=:B2)
Note
- dynamic sampling used for this statement (level=2)
20 rows selected.As you can see the time has dropped to 37min (from 6 hrs). Then we decided to change the SQL query and use donisback's suggestion (using MERGE); we explained the plan for teh new query and here is the results:
SQL> explain plan for MERGE INTO temp_person t
2 USING (SELECT fst_name ,p_id,ed_id
3 FROM ext_person) ext
4 ON (ext.p_id=t.person_id AND ext.ed_id=t.district_id)
5 WHEN MATCHED THEN
6 UPDATE set t.first_name=ext.fst_name;
Explained.
SQL> @?/rdbms/admin/utlxpls.sql
PLAN_TABLE_OUTPUT
Plan hash value: 2192307910
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | MERGE STATEMENT | | 92307 | 14M| | 1417 (1)| 00:00:17 |
| 1 | MERGE | TEMP_PERSON | | | | | |
| 2 | VIEW | | | | | | |
|* 3 | HASH JOIN | | 92307 | 20M| 6384K| 1417 (1)| 00:00:17 |
| 4 | TABLE ACCESS FULL| TEMP_PERSON | 93383 | 5289K| | 192 (2)| 00:00:03 |
| 5 | TABLE ACCESS FULL| EXT_PERSON | 92307 | 15M| | 85 (2)| 00:00:02 |
Predicate Information (identified by operation id):
3 - access("P_ID"="T"."PERSON_ID" AND "ED_ID"="T"."DISTRICT_ID")
Note
- dynamic sampling used for this statement (level=2)
21 rows selected.As you can see, the update now takes 00:00:17 to run (need to say more?) :)
Thank you all for your ideas that helped us get to the solution.
Much appreciated.
Thanks -
MERGE Statement - unable to get a stable set of rows in the source tables
OWB Client: 10.1.0.2.0
OWB Repository: 10.1.0.1.0
I am trying to create a MERGE in OWB.
I get the following error:
ORA-12801: error signaled in parallel query server P004 ORA-30926: unable to get a stable set of rows in the source tables
I have read the other posts regarding this and can't seem to get a fix.
The target table has a unique index on the field that I am matching on.
The "incoming" data doesn't have a unique index, but I have checked and confirmed that it is unique on the appropriate key.
The "incoming" data is created by a join and filter in the mapping and I'd rather avoid having to load this data into a new table and add a unique index on this.
Any help would be great.
Thanks
LauraHello Laura,
The MERGE statement does not require any constraints on its target table or source table. The only requirement is that two input rows cannot update the same target row, meaning that all existing target rows can be matched by at most one input row (otherwise the MERGE would be undeterministic since you don't know which of the input rows you would end up with in the target).
If a table takes ages to load (and is not really big) I suspect that your mapping is not running in set mode and that it performs a full table scan on source data for each target row it produces.
If you ARE running in set mode you should run explain plan to get a hint on what is wrong.
Regarding your original mapping, try to set the target operator property:
Match by constraint=no constraints
and then check the Loading properties on each target column.
Regards, Hans Henrik -
Any Substitution of Merge statement ?
Hi All,
I just would like to know,is it any way to tune the Merge Update or Insert statement based on match ?.I am having one proc where i am using merge statetment and checking based condition it checks whether the record is present if yes then update else insert it,almost 100 k rows is there and this proc takes long time (around 6-7 hrs) to get complete,
so i just want to know is it any way i can tune my query or any other substitution i can use it instead of MERGE.
many thanks n advance..
AnwyThere should be an applicable index for the destination-table. The index should have a good selectivity with the columns compared in the match condition. Best is to use a unique key or primary key - index.
Additionally the statistics of the destination-table should be up to date (dbms_stats).
Edited by: hm on 11.11.2010 02:25 -
CPU goes to 100% state svchost takes all resources on Qosmio F10
CPU goes to 100% state svchost takes all resources. Norton does not find any illegal software. Have tried to list the processes (run... etc.). I get a long list, don't know what to do about it. Does anybody out there have some help?
Hello,
if you have your note for a year or more and did not take it for an internal heatsink clean and essentials parts, yet.
One possible problem here is: Heatsink blocked with dust (CPU goes to 100% state svchost takes all resources)
90% of the high temperatures problems, unexpected shutdowns, 100%CPU all the time without running background processes, very hot keyboard area, freezing programs, are caused by the heatsink blocked with dust.
The normal temperature for the processor is between 55C and 79C. For the motherboard is around 55C~60C. When the heatsink is blocked those temperatures can reach 99C (processor) and around 80C (motherboard). Measure in Celsius degrees.
You can check it out how "hot" your Qosmio is.
Download the Everest ultimate 2006 edition V 3.50.761, look for it with Google search.
Run it and see the temperatures for CPU, Processor and motherboard on your Qosmio:
See:
http://www.rabayjr.com/vista/qosmioeverest.jpg
Run the System stability test (find it under tools menu) for 10 minutes aprox.
Watch the temperatures at taskar. If it reachs more than 92C for the processor on stress mode, its time to clean the heatsink and all essential parts of your Qosmio. Attempt to the processor fan RPM, too, if they run fast and noisy, you really must perform a clean.
But it depends on the ambient environment, for a 30C summer day the processor temperature almost get the 90C. this is normal in stress mode. And the fans run without noise. Slow RPM mode.
All measured in Celsius degrees, for Farenheith please convert it.
Francisco -
i would like to know if it is possible to identify the row that is causing the problem when you use a merge statement in pl/sql. i know if you create a cursor and then loop through the data you can identify the column but what about if i have only a merge that will either insert or update. is it possible to identify which row of data cause the problem? thanks
You can use an Error Logging Table<br>
<br>
Nicolas.
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