Data manager jobs taking too long or hanging

Hoping someone here can provide some assistance with regard to the 4.2 version. We are specifically using BPC/OutlookSoft 4.2SP4 (and in process of upgrading to BPC7.5). Three server environment - SQL, OLAP and Web.
Problem: Data manager jobs in each application of production appset with five applications are either taking too long to complete for very small jobs (single entity/single period data copy/clear, under 1000 records) or completely hanging for larger jobs. This has been an issue for the last 7 days. During normal operation, small DM jobs ran in under a minute and large ones taking only a few minutes.
Failed attempts at resolution thus far:
1. Processed all applications from the OLAP server
2. Confirmed issue is specific to our appset and is not present in ApShell
3. Copied packages from ApShell to application to eliminate package corruption
4. Windows security updates were applied to all three servers but I assume this would also impact ApShell.
5. Cleared tblDTSLog history
6. Rebooted all three servers
7. Suspected antivirus however, problem persists with antivirus disabled on all three servers.
Other Observations
There are several tables in the SQL database named k2import# and several stored procedures named DMU_k2import#. My guess is these did not get removed because I killed the hung up jobs. I'm not sure if their existence is causing any issues.
To make the long story short, how can I narrow down at which point the jobs are hanging up or what is taking the longest time? I have turned on Debug Script but I don't' have documentation to make sense of all this info. What exactly is happening when I run a Clear package? At this point, my next step is to run SQL Profiler to get a look into what is going on behind the scenes on the sql server. I also want to rule out the COM+ objects on the web server but not sure where to start.
Any help is greatly appreciated!!
Thank you,
Hitesh

Hi ,
The problem seems to be related to database. Do you have any maintenance plan for database?
It is specific for your appset because each appset has own database.
I suspect you have to run an sp_updatestats (Update Statistics) for your database and I think the issue with your jobs hang will be solved.
DMU_K2_importXXX table are coming from hang imports ...you can delete these tables because it is just growing the size of database and for sure are not used anymore.
Regards
Sorin Radulescu

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A few other things i should mention regarding my issue:
* The database was, till yesterday, running on bdb java 3.3.75. After running several hours of recovery, i upgraded to 4.1.10 (since i read about a possible recovery looping bug in one of the versions)
* Once 4.1.10 started recovery, it spat out errors regarding the last 2 files. Only on deleting those 2 files (the last being 0 bytes, the 2nd-last being about 5k) did the recovery start. Note that the older 3.3.75's recovery never complained about those files. I can post the errors here if relevant.
* Some of the jdb files (about 500 files out of the 47,000 files that make up the database) are 100 MB files, since i had experimented with larger sized files for a few days, then reverted the setting.
Would any of these above affect a successful recovery?
My setup is:
OS:Linux CentOS 5.2, 64-bit, kernel 2.6.18-92.el5
JVM: Sun Java 1.6.0_20, 64-bit
Memory: 16 GB RAM, of which 8 GB is allocated to the java process (-Xmx8000M -Xms8000M)
BDB cache set to use 6GB RAM (envconfig.setCacheSize(6000000000))
Only the BDB basic API is being used (Environment, database, cursors). We do not use DPL, or HA features.
Awaiting your kind response,
Sushant A

Hi Sushant,
* Should i continue to wait for recovery?* Is there any chance that recovery is looping?>
I'm not aware of a bug that would cause recovery to loop, however, you may want to take thread dumps to see if it is progressing. It isn't easy to tell, however, since each phase of recovery is in fact a loop. What you can tell easily from the thread dumps is whether recovery is blocked (completely stopped) for some reason. I don't know of a bug that would cause this, but it's something I would check for.
Assuming it is not blocked, I suggest that you leave recovery running, and additionally (in parallel) try to obtain some information about your log. While recovery is running you can run the DbPrintLog utility, which does not itself run recovery. I suggest running the following command, which will tell us in general what your log looks like and in particular how far apart the checkpoints are:
java -jar je-x.y.z.jar DbPrintLog -h <envHome> -S > <output>Please post the output.
If checkpoints are not running in your application for some reason, or they are running very infrequently, this can cause VERY long recoveries. Unfortunately, you may have such a problem in your app and not be aware of it, until you crash and have to recover. To guard against this sort of thing in the future, you should keep an eye on the checkpoint frequency. EnvironmentStats.getNCheckpoints and getEndOfLog can together be used to tell how much log is written between checkpoints. We will also be able to see this from the DbPrintLog -S output.
* Is there an easier way (DBDump?) to extract data from the database without having to perform recovery?DbDump normally runs recovery. DbDump with the -r or -R option does not run recovery, but has other drawbacks. With -r, a large amount of memory may be necessary to dump an accurate representation of your data set. If this fails because you run out of memory, -R can be used, but this will dump multiple versions of each record and it will be up to you to interpret the output.
If regular recovery does not succeed, then DbDump -r is the next thing to try.
Would any of these above affect a successful recovery?No, I don't believe so.
--mark

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 PM

Thank 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

Oracle - Query taking too long (Materialized view)

Hi,
I am extracting billing informaiton and storing in 3 different tables... in order to show total billing (80 to 90 columns, 1 million rows per month), I've used a materialized view... I do not have indexes on 3 billing tables - do have 3 indexes on Materialized view...
at the moment it's taking too long to query the data (running a query via toad fails and shows "Out of Memory" error message; runing a query via APEX though is providing results but taking way too long)...
Please advice how to make the query efficient...

tparvaiz,
Is it possible when building your materialized view to summarize and consolidate the data?
Out of a million rows, what would your typical user do with that amount data if they could retrieve it readily? The answer to this question may indicate if and how to summarize the data within the materialized view.
Jeff
Edited by: jwellsnh on Mar 25, 2010 7:02 AM

Data manager jobs taking too long or hanging

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