Long running ACT_UPG during EHP4 (SP-Stack 08)

During EHP4 Installation after a installation of ERP 6.0 EHP4 Ready) ACT_UPG is running , but very slowly.
In a different system (linux on intel cpu) it took only 6 hours. In my actual system it is already running since nearly 13 hours- since 08.11.2010 04:35:58 !
I compared the actually written logfile
/sapmnt/D01/EHPI/abap/tmp$ wc -l SAPAA70104.D01
588286 SAPAA70104.D01
with that one from a finished installation on linux (with lower sp-stack than 08 and older sapehpi)
There the file has 1.451.798 rows, which means that my ACT_UPG has more than the same work to do...
I have checked the shadow instance: 4 batchprocesses- only one is running with RDDMASGL since 08.11.2010 04:35:58
Add. information:
-Database and CI are on separate hosts (solaris sparc). Both are inclued in /etc/hosts.
- I used sapehpi version SAPehpi_38-10005811.SAR - SAPehpi 700 from 21.10.2010
- I have used following settings :
SAPehpiConsole.log:
Enter the maximum number of batch processes during the installation:
BATCH PROCESSES: 3
Enter the maximum number of parallel processes during uptime:
MAXIMUM UPTIME PROCESSES: 3
Enter the number of parallel import processes during downtime:
R3TRANS PROCESSES: 3
To optimize memory usage during activation, you can use the so-called
"memory-optimized activator". Do you want to use this possibility?
01) - Yes
02) * No
: No
Any ideas ?
Uta
Edited by: Uta Hedemann on Nov 9, 2010 5:34 PM

problem solved itself. ACT_UPG is finished
The corresponding logfile seems to be invalid for analyzing the runtime . Much more smaller than on the other system on linux....
/sapmnt/D01/EHPI/abap/log$ wc -l SAPAA70104.D01
617706 SAPAA70104.D01
Good luck for everybody who has also long run times!
Edited by: Uta Hedemann on Nov 9, 2010 6:26 PM

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Hi everybody,
My question is related with a long running process I have designed and which, after running for a couple of days, ends by reporting the ORABPEL-05002 error:
===============================================================
ORABPEL-05002
Message handle error.
An exception occurred while attempting to process the message "com.collaxa.cube.engine.dispatch.message.instance.PerformMessage"; the exception is: Transaction was rolled back: timed out; nested exception is: java.rmi.RemoteException: No Exception - originate from:java.lang.Exception: No Exception - originate from:; nested exception is:
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===============================================================
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amo
P.S: the full stack of error messages reported in domain.log:
===============================================================
<2006-09-18 08:08:34,101> <ERROR> <SRH.collaxa.cube.engine.dispatch> <DispatchHelper::handleMessage> failed to handle message
javax.ejb.EJBException: Transaction was rolled back: timed out; nested exception is: java.rmi.RemoteException: No Exception - originate from:java.lang.Exception: No Exception - originate from:; nested exception is:
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ORABPEL-05002
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     at java.lang.Thread.run(Thread.java:534)
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ORABPEL-02094
Scope not found.
The scope "BpSwt2.30995" has not been defined in the current instance.
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     at com.collaxa.cube.engine.CubeEngine.load(CubeEngine.java:5185)
     at com.collaxa.cube.engine.CubeEngine.load(CubeEngine.java:5173)
     at com.collaxa.cube.engine.CubeEngine.expireActivity(CubeEngine.java:2136)
     at com.collaxa.cube.ejb.impl.ActivityManagerBean.expireActivity(ActivityManagerBean.java:145)
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     at com.collaxa.cube.engine.dispatch.message.instance.ExpirationMessageHandler.handle(ExpirationMessageHandler.java:43)
     at com.collaxa.cube.engine.dispatch.DispatchHelper.handleMessage(DispatchHelper.java:125)
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     at com.evermind.server.ejb.MessageDrivenHome.run(MessageDrivenHome.java:928)
     at com.evermind.util.ReleasableResourcePooledExecutor$MyWorker.run(ReleasableResourcePooledExecutor.java:186)
     at java.lang.Thread.run(Thread.java:534)
<2006-09-18 08:09:05,275> <ERROR> <SRH.collaxa.cube.engine.dispatch> <BaseScheduledWorker::process> Failed to handle dispatch message ... exception ORABPEL-05002
Message handle error.
An exception occurred while attempting to process the message "com.collaxa.cube.engine.dispatch.message.instance.ExpirationMessage"; the exception is: Scope not found.
The scope "BpSwt2.30995" has not been defined in the current instance.
ORABPEL-05002
Message handle error.
An exception occurred while attempting to process the message "com.collaxa.cube.engine.dispatch.message.instance.ExpirationMessage"; the exception is: Scope not found.
The scope "BpSwt2.30995" has not been defined in the current instance.
     at com.collaxa.cube.engine.dispatch.DispatchHelper.handleMessage(DispatchHelper.java:152)
     at com.collaxa.cube.engine.dispatch.BaseScheduledWorker.process(BaseScheduledWorker.java:70)
     at com.collaxa.cube.engine.ejb.impl.WorkerBean.onMessage(WorkerBean.java:86)
     at com.evermind.server.ejb.MessageDrivenBeanInvocation.run(MessageDrivenBeanInvocation.java:123)
     at com.evermind.server.ejb.MessageDrivenHome.onMessage(MessageDrivenHome.java:755)
     at com.evermind.server.ejb.MessageDrivenHome.run(MessageDrivenHome.java:928)
     at com.evermind.util.ReleasableResourcePooledExecutor$MyWorker.run(ReleasableResourcePooledExecutor.java:186)
     at java.lang.Thread.run(Thread.java:534)
===============================================================

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Poor performance of the dehydration database If you are using Oracle Lite as dehydration store, please switch to use Oracle 9i or 10g. If Oracle 9i/10g is already in use, check the database parameter 'process' and 'session' to make sure it can handle the expected throughput.
OC4J has too few available connections to the dehydration database. Increase the maxConnection number of the BPELServerDataSource at the BPEL_HOME/integration/orabpel/system/appserver/oc4j/j2ee/home/config/data-sources.xml (for developer edition) or IAS_HOME/j2ee/OC4J_BPEL/config/data-sources.xml (mid-tier installation).
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Decrease the auditLevel from BPELConsole -> Manage BPEL Domain -> Configurations tab. Doing so will reduce the amount of data saved to the dehydration store.
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Anirudh Pucha

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NAME                                 TYPE        VALUE
db_file_multiblock_read_count        integer     16
SQL> show parameter db_block_size
NAME                                 TYPE        VALUE
db_block_size                        integer     8192
SQL> show parameter cursor_sharing
NAME                                 TYPE        VALUE
cursor_sharing                       string      EXACTHere is the output of EXPLAIN PLAN:
SQL> explain plan for
2 SELECT count(*)
3         FROM orders o,shipment_type_methods stm
4       WHERE o.status in ('A','U')
5           AND (o.parent_order_id is null
6            OR (o.order_type = 'G'
7           AND o.parent_order_id = o.original_order_number))
8           AND nvl(o.priority,'1') <> '2'
9           AND o.client = stm.client
10           AND o.shipment_class_code = stm.shipment_class_code
11           AND stm.surcharge_amount = 0
12     AND o.client = :CLIENT_NUMBER
13    GROUP BY o.client
14 /
Explained.
Elapsed: 00:00:00.12
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 559278019
| Id | Operation                      | Name                    | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT               |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|   1 | SORT GROUP BY NOSORT          |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|* 2 |   TABLE ACCESS BY INDEX ROWID | ORDERS                  |   175K| 3431K| 25979   (3)| 00:05:12 |
|   3 |    NESTED LOOPS                |                         | 25300 |   864K| 46764   (3)| 00:09:22 |
|* 4 |     TABLE ACCESS BY INDEX ROWID| SHIPMENT_TYPE_METHODS   |     1 |    15 |     2   (0)| 00:00
|* 5 |      INDEX RANGE SCAN          | U_SHIPMENT_TYPE_METHODS |     2 |       |     1   (0)| 00:00:01 |
|* 6 |     INDEX RANGE SCAN           | ORDERS_ORDER_DATE       |   176K|       | 2371   (8)| 00:00:29 |
Predicate Information (identified by operation id):
   2 - filter(("O"."PARENT_ORDER_ID" IS NULL OR "O"."ORDER_TYPE"='G' AND
              "O"."PARENT_ORDER_ID"=TO_NUMBER("O"."ORIGINAL_ORDER_NUMBER")) AND NVL("O"."PRIORITY",'1')<>'2
              AND "O"."SHIPMENT_CLASS_CODE"="STM"."SHIPMENT_CLASS_CODE")
   4 - filter("STM"."SURCHARGE_AMOUNT"=0)
   5 - access("STM"."CLIENT"=:CLIENT_NUMBER)
   6 - access("O"."CLIENT"=:CLIENT_NUMBER)
       filter("O"."STATUS"='A' OR "O"."STATUS"='U')
24 rows selected.
Elapsed: 00:00:00.86
SQL> rollback;
Rollback complete.
Elapsed: 00:00:00.07Here is the output of SQL*Plus AUTOTRACE including the TIMING information:
SQL> SELECT count(*)
2         FROM orders o,shipment_type_methods stm
3       WHERE o.status in ('A','U')
4           AND (o.parent_order_id is null
5            OR (o.order_type = 'G'
6           AND o.parent_order_id = o.original_order_number))
7           AND nvl(o.priority,'1') <> '2'
8           AND o.client = stm.client
9           AND o.shipment_class_code = stm.shipment_class_code
10           AND stm.surcharge_amount = 0
11     AND o.client = :CLIENT_NUMBER
12    GROUP BY o.client
13 /
Elapsed: 00:00:03.09
Execution Plan
Plan hash value: 559278019
| Id | Operation                      | Name                    | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT               |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|   1 | SORT GROUP BY NOSORT          |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|* 2 |   TABLE ACCESS BY INDEX ROWID | ORDERS                  |   175K| 3431K| 25979   (3)| 00:05:12 |
|   3 |    NESTED LOOPS                |                         | 25300 |   864K| 46764   (3)| 00:09:22 |
|* 4 |     TABLE ACCESS BY INDEX ROWID| SHIPMENT_TYPE_METHODS   |     1 |    15 |     2   (0)| 00:00
|* 5 |      INDEX RANGE SCAN          | U_SHIPMENT_TYPE_METHODS |     2 |       |     1   (0)| 00:00:01 |
|* 6 |     INDEX RANGE SCAN           | ORDERS_ORDER_DATE       |   176K|       | 2371   (8)| 00:00:29 |
Predicate Information (identified by operation id):
   2 - filter(("O"."PARENT_ORDER_ID" IS NULL OR "O"."ORDER_TYPE"='G' AND
              "O"."PARENT_ORDER_ID"=TO_NUMBER("O"."ORIGINAL_ORDER_NUMBER")) AND NVL("O"."PRIORITY",'1')<>'2
              AND "O"."SHIPMENT_CLASS_CODE"="STM"."SHIPMENT_CLASS_CODE")
   4 - filter("STM"."SURCHARGE_AMOUNT"=0)
   5 - access("STM"."CLIENT"=:CLIENT_NUMBER)
   6 - access("O"."CLIENT"=:CLIENT_NUMBER)
       filter("O"."STATUS"='A' OR "O"."STATUS"='U')
Statistics
         55 recursive calls
          0 db block gets
       7045 consistent gets
          0 physical reads
          0 redo size
        206 bytes sent via SQL*Net to client
        238 bytes received via SQL*Net from client
          2 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          1 rows processed
SQL> disconnect
Disconnected from Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
SQL> The TKPROF output for this statement looks like the following:
SELECT count(*)
       FROM orders o,shipment_type_methods stm
     WHERE o.status in ('A','U')
         AND (o.parent_order_id is null
          OR (o.order_type = 'G'
         AND o.parent_order_id = o.original_order_number))
         AND nvl(o.priority,'1') <> '2'
         AND o.client = stm.client
         AND o.shipment_class_code = stm.shipment_class_code
         AND stm.surcharge_amount = 0
   AND o.client = :CLIENT_NUMBER
GROUP BY o.client
call     count       cpu    elapsed       disk      query    current        rows
Parse        1      0.01       0.00          0          0          0           0
Execute      1      0.04       0.04          0          0          0           0
Fetch        2      2.96       2.91          0       7039          0           1
total        4      3.01       2.95          0       7039          0           1
Misses in library cache during parse: 1
Misses in library cache during execute: 1
Optimizer mode: ALL_ROWS
Parsing user id: 95
Rows     Row Source Operation
      1 SORT GROUP BY NOSORT (cr=7039 pr=0 pw=0 time=2913701 us)
     91   TABLE ACCESS BY INDEX ROWID ORDERS (cr=7039 pr=0 pw=0 time=261997906 us)
     93    NESTED LOOPS (cr=6976 pr=0 pw=0 time=20740 us)
      1     TABLE ACCESS BY INDEX ROWID SHIPMENT_TYPE_METHODS (cr=2 pr=0 pw=0 time=208 us)
      3      INDEX RANGE SCAN U_SHIPMENT_TYPE_METHODS (cr=1 pr=0 pw=0 time=88 us)(object id 81957)
     91     INDEX RANGE SCAN ORDERS_ORDER_DATE (cr=6974 pr=0 pw=0 time=70 us)(object id 81547)
Elapsed times include waiting on following events:
Event waited on                             Times   Max. Wait Total Waited
----------------------------------------   Waited ---------- ------------
SQL*Net message to client                       2        0.00          0.00
SQL*Net message from client                     2        0.02          0.02
********************************************************************************The DBMS_XPLAN.DISPLAY_CURSOR output:
SQL> variable CLIENT_NUMBER varchar2(20)
SQL> exec :CLIENT_NUMBER := '14'
PL/SQL procedure successfully completed.
Elapsed: 00:00:00.06
SQL> SELECT /*+ gather_plan_statistics */ count(*)
2         FROM orders o,shipment_type_methods stm
3       WHERE o.status in ('A','U')
4           AND (o.parent_order_id is null
5            OR (o.order_type = 'G'
6           AND o.parent_order_id = o.original_order_number))
7           AND nvl(o.priority,'1') <> '2'
8           AND o.client = stm.client
9           AND o.shipment_class_code = stm.shipment_class_code
10           AND stm.surcharge_amount = 0
11     AND o.client = :CLIENT_NUMBER
12    GROUP BY o.client
13 /
COUNT(*)
        91
Elapsed: 00:00:02.85
SQL> set termout on
SQL> select * from table(dbms_xplan.display_cursor(null, null, 'ALLSTATS LAST'));
PLAN_TABLE_OUTPUT
SQL_ID 4nfj368y8w6a3, child number 0
SELECT /*+ gather_plan_statistics */ count(*)        FROM orders o,shipment_type_methods stm      WHERE
o.status in ('A','U')          AND (o.parent_order_id is null           OR (o.order_type = 'G'
AND o.parent_order_id = o.original_order_number))          AND nvl(o.priority,'1') <> '2'          AND
o.client = stm.client          AND o.shipment_class_code = stm.shipment_class_code          AND
stm.surcharge_amount = 0    AND o.client = :CLIENT_NUMBER   GROUP BY o.client
Plan hash value: 559278019
| Id | Operation                      | Name                    | Starts | E-Rows | A-Rows |   A-Time   | Buffers |
|   1 | SORT GROUP BY NOSORT          |                         |      1 |      1 |      1 |00:00:02.63 |    7039 |
|* 2 |   TABLE ACCESS BY INDEX ROWID | ORDERS                  |      1 |    175K|     91 |00:03:56.87 |    7039 |
|   3 |    NESTED LOOPS                |                         |      1 | 25300 |     93 |00:00:00.02 |    6976 |
|* 4 |     TABLE ACCESS BY INDEX ROWID| SHIPMENT_TYPE_METHODS   |      1 |      1 |      1 |00:00:00.01 |       2 |
|* 5 |      INDEX RANGE SCAN          | U_SHIPMENT_TYPE_METHODS |      1 |      2 |      3 |00:00:00.01 |       1 |
|* 6 |     INDEX RANGE SCAN           | ORDERS_ORDER_DATE       |      1 |    176K|     91 |00:00:00.01 |    6974 |
Predicate Information (identified by operation id):
   2 - filter((("O"."PARENT_ORDER_ID" IS NULL OR ("O"."ORDER_TYPE"='G' AND
              "O"."PARENT_ORDER_ID"=TO_NUMBER("O"."ORIGINAL_ORDER_NUMBER"))) AND NVL("O"."PRIORITY",'1')<>'
              "O"."SHIPMENT_CLASS_CODE"="STM"."SHIPMENT_CLASS_CODE"))
   4 - filter("STM"."SURCHARGE_AMOUNT"=0)
   5 - access("STM"."CLIENT"=:CLIENT_NUMBER)
   6 - access("O"."CLIENT"=:CLIENT_NUMBER)
       filter(("O"."STATUS"='A' OR "O"."STATUS"='U'))
32 rows selected.
Elapsed: 00:00:01.30
SQL> I'm looking forward for suggestions how to improve the performance of this statement.
Thanks
Sandy

Please find explain plan for No hint
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 559278019
| Id | Operation                      | Name                    | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT               |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|   1 | SORT GROUP BY NOSORT          |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|* 2 |   TABLE ACCESS BY INDEX ROWID | ORDERS                  |   175K| 3431K| 25979   (3)| 00:05:12 |
|   3 |    NESTED LOOPS                |                         | 25300 |   864K| 46764   (3)| 00:09:22 |
|* 4 |     TABLE ACCESS BY INDEX ROWID| SHIPMENT_TYPE_METHODS   |     1 |    15 |     2   (0)| 00:00
|* 5 |      INDEX RANGE SCAN          | U_SHIPMENT_TYPE_METHODS |     2 |       |     1   (0)| 00:00:01 |
|* 6 |     INDEX RANGE SCAN           | ORDERS_ORDER_DATE       |   176K|       | 2371   (8)| 00:00:29 |
Predicate Information (identified by operation id):
   2 - filter(("O"."PARENT_ORDER_ID" IS NULL OR "O"."ORDER_TYPE"='G' AND
              "O"."PARENT_ORDER_ID"=TO_NUMBER("O"."ORIGINAL_ORDER_NUMBER")) AND NVL("O"."PRIORITY",'1')<>'2
              AND "O"."SHIPMENT_CLASS_CODE"="STM"."SHIPMENT_CLASS_CODE")
   4 - filter("STM"."SURCHARGE_AMOUNT"=0)
   5 - access("STM"."CLIENT"=:CLIENT_NUMBER)
   6 - access("O"."CLIENT"=:CLIENT_NUMBER)
       filter("O"."STATUS"='A' OR "O"."STATUS"='U')
24 rows selected.
Elapsed: 00:00:00.86Explain Plan for Parallel Hint
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 559278019
| Id | Operation                      | Name                    | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT               |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|   1 | SORT GROUP BY NOSORT          |                         |     1 |    35 | 46764   (3)| 00:09:22 |
|* 2 |   TABLE ACCESS BY INDEX ROWID | ORDERS                  |   175K| 3431K| 25979   (3)| 00:05:12 |
|   3 |    NESTED LOOPS                |                         | 25300 |   864K| 46764   (3)| 00:09:22 |
|* 4 |     TABLE ACCESS BY INDEX ROWID| SHIPMENT_TYPE_METHODS   |     1 |    15 |     2   (0)| 00:00
|* 5 |      INDEX RANGE SCAN          | U_SHIPMENT_TYPE_METHODS |     2 |       |     1   (0)| 00:00:01 |
|* 6 |     INDEX RANGE SCAN           | ORDERS_ORDER_DATE       |   176K|       | 2371   (8)| 00:00:29 |
Predicate Information (identified by operation id):
   2 - filter(("O"."PARENT_ORDER_ID" IS NULL OR "O"."ORDER_TYPE"='G' AND
              "O"."PARENT_ORDER_ID"=TO_NUMBER("O"."ORIGINAL_ORDER_NUMBER")) AND NVL("O"."PRIORITY",'1')<>'2
              AND "O"."SHIPMENT_CLASS_CODE"="STM"."SHIPMENT_CLASS_CODE")
   4 - filter("STM"."SURCHARGE_AMOUNT"=0)
   5 - access("STM"."CLIENT"='14')
   6 - access("O"."CLIENT"='14')
       filter("O"."STATUS"='A' OR "O"."STATUS"='U')
24 rows selected.
Elapsed: 00:00:08.92Explain Plan for USE_Hash hint
SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 1465232248
| Id | Operation                     | Name                    | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                         |     1 |    35 | 46786   (3)| 00:09:22 |
|   1 | SORT GROUP BY NOSORT         |                         |     1 |    35 | 46786   (3)| 00:09:22 |
|* 2 |   HASH JOIN                   |                         | 25300 |   864K| 46786   (3)| 00:09:22 |
|* 3 |    TABLE ACCESS BY INDEX ROWID| SHIPMENT_TYPE_METHODS   |     1 |    15 |     2   (0)| 00:00:0
|* 4 |     INDEX RANGE SCAN          | U_SHIPMENT_TYPE_METHODS |     2 |       |     1   (0)| 00:00:01 |
|* 5 |    TABLE ACCESS BY INDEX ROWID| ORDERS                  |   175K| 3431K| 46763   (3)| 00:09:22 |
|* 6 |     INDEX RANGE SCAN          | ORDERS_ORDER_DATE       |   176K|       | 4268   (8)| 00:00:52 |
Predicate Information (identified by operation id):
   2 - access("O"."CLIENT"="STM"."CLIENT" AND "O"."SHIPMENT_CLASS_CODE"="STM"."SHIPMENT_CLASS_COD
              E")
   3 - filter("STM"."SURCHARGE_AMOUNT"=0)
   4 - access("STM"."CLIENT"='14')
   5 - filter(("O"."PARENT_ORDER_ID" IS NULL OR "O"."ORDER_TYPE"='G' AND
              "O"."PARENT_ORDER_ID"=TO_NUMBER("O"."ORIGINAL_ORDER_NUMBER")) AND NVL("O"."PRIORITY",'1')<>'2
   6 - access("O"."CLIENT"='14')
       filter("O"."STATUS"='A' OR "O"."STATUS"='U')
25 rows selected.
Elapsed: 00:00:01.09
SQL> Thanks
Sandy

Long running table partitioning job

Dear HANA grus,
I've just finished table partitioning jobs for CDPOS(change document item) with 4 partitions by hash with 3 columns.
Total data volumn is around 340GB and the table size was 32GB !!!!!
(migration job was done without disabling CD, so currently deleting data on the table with RSCDOK99)
Before partitioning, the data volumn of the table was around 32GB.
After partitioning, the size has changed to 25GB.
It took around One and half hour with exclusive lock as mentioned in the HANA adminitration guide.
(It is QA DB, so less complaints)
I thought that I might not can do this in the production DB.
Does anyone hava any idea for accelerating this task?? (This is the fastest DBMS HANA!!!!)
Or Do you have any plan for online table partitioning functionality??(To HANA Development team)
Any comments would be appreciate.
Cheers,
- Jason

Jason,
looks like we're cross talking here...
What was your rationale to partition the table in the first place?
       => To reduce deleting time of CDPOS            (As I mentioned it was almost 10% quantity of whole Data volume, So I would like to save deleting time of the table from any pros of partitioning table like partitioning pruning)
Ok, I see where you're coming from, but did you ever try out if your idea would actually work?
As deletion of data is heavily related with locating the records to be deleted, creating an index would have probably be the better choice.
Thinking about it... you want to get rid of 10% of your data and in order to speed the overall process up, you decide to move 100% of the data into sets of 25% of the data - equally holding their 25% share of the 10% records to be deleted.
The deletion then should run along these 4 sets of 25% of data.
It's surely me, but where is the speedup potential here?
How many unloads happened during the re-partitioning?
       => It was fully uploaded in the memory before partitioning the table by myself.(from HANA studio)
I was actually asking about unloads _during_ the re-partitioning process. Check M_CS_UNLOADS for the time frame in question.
How do the now longer running SQL statements look like?
       => As i mentioned selecting/deleting increased almost twice.
That's not what I asked.
Post the SQL statement text that was taking longer.
What are the three columns you picked for partitioning?
       => mandant, objectclas, tabname(QA has 2 clients and each of them have nearly same rows of the table)
Why those? Because these are the primary key?
I wouldn't be surprised if the SQL statements only refer to e.g. MANDT and TABNAME in the WHERE clause.
In that case the partition pruning cannot work and all partitions have to be searched.
How did you come up with 4 partitions? Why not 13, 72 or 213?
       => I thought each partitions' size would be 8GB(32GB/4) if they are divided into same size(just simple thought), and 8GB size is almost same size like other largest top20 tables in the HANA DB.
Alright, so basically that was arbitrary.
For the last comment of your reply, most people would do partition for their existing large tables to get any benefit of partitioning(just like me). I think your comment can be applied for the newly inserting data.
Well, not sure what "most people" would do.
HASH partitioning a large existing table certainly is not an activity that is just triggered off in a production system. Adding partitions to a range partitions table however happens all the time.
- Lars

Long running init -- impact on delta

Hello experts,
I know that this is something of a basic question, but I'd still like someone to clarify.
The question that I have is regarding the time stamp that is set for the delta records. I have an initialization job that runs for a long time (let's say 4 hours). My question is if the timestamp for the delta is set at the start of the init job or at the end of it? If there are any transactions that occur during the time the init job is running, are they captured in the delta queue (RSA7) or do they form a part of the init job and the delta marker/timestamp is set at the end of the init job such that the new/changed records get picked up in the queue later on.
I know that the other alternative is to run an init without data transfer and get the rest of the records in full repair requests. I'd like to know the impact of the long running init job before I choose which way to go.
Thanks in advance for the responses.

Hi,
For the timestamp data sources like FI,Co you cannot maintain the safelty interval delta as this is maintained by SAP.
The table names are BWOM2_TIMEST for controlling and for FI data sources in BWOM_SETTINGS tables.
The note 416265 tells you how to change it for CO and 1012874 for FI... but SAP strongly reccomends not to change these settings.
In case of FI-CO data sources you will not be able to see the data into the delta queue as there delta records are not pushed into delta queue by SAP but are pulled by BW system when the delta is scheduled.
So even if the delta is created you cannot see it in the delta queue.
For CO data source as I told you the records which got changed 2 hours before the initialization of the data sources only will come into delta queue and will get picked into delta.
The same is maintained for FI datasources.
Thanks
Ajeet

Long-running transactions and the performance penalty

If I change the orch or scope Transaction Type to "Long Running" and do not create any other transaction scopes inside, I'm getting this warning:
warning X4018: Performance Warning: marking service '***' as a longrunning transaction is not necessary and incurs the performance penalty of an extra commit
I didn't find any description of such penalties.
So my questions to gurus:
Does it create some additional persistence point(s) / commit(s) in LR orchestration/scope?
Where are these persistence points happen, especially in LR orchestration?
Leonid Ganeline [BizTalk MVP] BizTalk Development Architecture

The wording may make it sound so but IMHO, if during the build of an orchestration we get carried away with scope shapes we end up with more persistence points which do affect the performance so one additional should not make soo much of a difference. It
may have been put because of end-user feed back where people may have opted for long running transactions without realizing about performance overheads and in subsequent performance optimization sessions with Microsoft put it on the product enhancement list
as "provide us with an indication if we're to incurr performance penalties". A lot of people design orchestration like they write code (not saying that is a bad thing) where they use the scope shape along the lines of a try catch block and what with
Microsoft marketing Long Running Transactions/Compensation blocks as USP's for BizTalk, people did get carried away into using them without understanding the implications.
Not saying that there is no additional persistence points added but just wondering if adding one is sufficient to warrant the warning. But if I nest enough scope shapes and mark them all as long-running, they may add up.
So when I looked at things other than persistence points, I tried to think on how one might implement the long running transaction (nested, incorporating atomic, etc), would you be able to leverage the .Net transaction object (something the pipeline
use and execute under) or would that model not handle the complexities of the Long Running Transaction which by very definiton span across days/months and keeping .Net Transaction objects active or serialization/de-serialization into operating context will
cause more issues.
Regards.

Long running task - what do you show?

There are a lot of discussions about long running tasks. But what do you show in the GUI while these tasks are running? The obvious choice is the standard hour-glass cursor, or a JProgressBar. I'm sure though that there must be other creative alternatives, like a Java2D animation for example.
Would people like to share what they show during long running tasks?

I have both Fusion and Parallels on all my machines. For Windows7, I have found that
the most recent version of Parallels is much faster and efficient than Fusion. With
XP, either one seems just fine. Also, if Linux is a future consideration, Fusion seems
to be the better bet. Parallels has some USB issues when running Linux.
I have tried Virtual Box, but for my uses, hardware and firmware engineering, it has
been problematic.
Since you mentioned Autocad, I would not recommend VirtualBox. Either of Fusion
or Parallels should serve you well. However, graphics performance does seem a
bit snappier with Parallels than with Fusion.

Should EntryProcessors be used for long-running operations?

Hi Gene and All,
     a couple of other questions come from the seemingly unexhaustible list :-)
     - what happens if the caller of an InvocableMap.invokeAll or invoke method dies?
     - all entryProcessors complete regardless of the client being there or not
     - all already started process method calls complete, the unprocessed entries will not get processed
     - something else happens
     - what happens if the caller of an InvocableMap.aggregate method with a parallel-aggregator dies
     - all aggregate methods in the parallel-aggregator complete
     - the aggregate methods in the parallel-aggregator stop during processing
     - something else happens
     - should an entryprocessor or a parallel-aware entryaggregator implement a comparably long-running operation (e.g. jdbc access), or does that seriously affect performance of other concurrent operations within the cluster node or the entire cluster (e.g. becuase of blocking other events/requests)?
     - should the work manager be used instead for these kinds of things (e.g. jdbc access)?
     Thanks and best regards,
     Robert

Robert,
     As soon as an EntryProcessor or EntryAggregator get delivered to the server nodes, it will get executed regardless of the requestor's state.
     In regard to long-running operations the only thing you have to be conscious about is a number of worker threads allocated for such a processing. Since there is a single client thread issuing a request, it would suggests allocation as many worker threads (across the cache server tier) as there are client thread (across the presentation/application tier).
     Regards,
     Gene

Checking for status of a long-running BPEL process

Hi experts,
I have one BPEL process for originating customers' loan which usually involves various steps which takes around 15-20 mins to complete per instance. I would like to implement a user interface that can check the process's progress and display how it is going to the user.
I have thought of using an asynchronous process that updates a global variable listing status of each step inside the process and use a poller to invoke another operation (like "checkStatus" operation) of this process to retrieve this variable and display the value to the users. It may be achieved by using "OnEvent" activity waiting for "checkStatus" operation. It will run in parallel with the main process, have access to the global variable and reply this variable immediately to the caller.
It sounds like an idea in theory but invoking a web service operation for polling status is very heavy-weight and may impact performance during high-load.
I am just wondering if there is other solution to this problem as I believe the status checking is a very common expected requirement in long-running BPEL process. What might be the best practice to implement this?
Look forward to your responses.
Thanks and regards,
Edited by: Nghia Pham on Nov 5, 2012 4:48 PM

Hi.
I apologize for the slow reply. I am just back from overseas and did not have chance to go to the forum!
Thank you a lot for your responses!
The BAM looks like a suggested out-of-the-box solution. But it ties too much to Oracle API and will be hard to customise the way you want to interpret the status to end-users. If you want to display the process status with BAM in a web application interface, ADF is the only solution (please correct me if I am wrong). I would prefer a stand-alone, free of proprietary API solution so that we can build a screen that is technology-independent. As ADF UI is not our only supported view technology. For example, a PHP web client should be able to interpret the BPEL process status.
Will really appreciate your suggested solution.
Thanks and regards,

Pause long running queries...

Is there a way to pause for a moment long running queries? or.. to give them lower prioriry during runtime? (even if they're already started)

No.

Need SSIS event handler for long running event

Hi,
I have a long running table load task that I would like to monitor using an event handler. I have tried the progress and information events but neither generates a message during the actual table load. Is there a way to invoke an
event during the SSIS data flow task when it 1%, 2% done?
thanks
oldmandba

Do you now how many rows the source table have ? You can run SELECT statement on the destination to find out how many data has been inserted.
Best Regards,Uri Dimant SQL Server MVP,
http://sqlblog.com/blogs/uri_dimant/
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Run-Time Check Failure #2 - Stack around the variable was corrupted.

I had checked on net as well as on social msdn site for this kind of error. Usually error is due to writing out of index. I tried to figure out same mistake in below mentioned code but I failed to do so. I am using Visual Studio 2010 for compilation
on Windows 7 (64 bit) machine. I am getting following error "Run-Time Check Failure #2 - Stack around the variable 'lcPacketPrefix' was corrupted."
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#define TRUE 1
#define FALSE 0
#define BYTE unsigned char
typedef struct {
int i;
double e;
long t;
char ar[45];
}Sample;
bool getMCXBuffPrefix(char * lpSource,char* Destination, int piSourceLen)
char lcPacketLen[10];
char lcPacketPrefix[5];
try
memset(lcPacketLen,'0',sizeof(lcPacketLen));
memset(lcPacketPrefix,'0',sizeof(lcPacketPrefix));
_itoa(piSourceLen,lcPacketLen,10);
strcpy_s(lcPacketPrefix+(sizeof(lcPacketPrefix)-strlen(lcPacketLen)),sizeof(lcPacketPrefix),lcPacketLen);
//To Prefix Length in send Packet
memcpy(Destination,lcPacketPrefix,5);
memcpy(Destination+5,(char*)lpSource,piSourceLen);
catch(...)
printf("In Catch: While Prefixing MCX Buffer.\n");
return FALSE;
return TRUE;
int main(int argc, char *argv[])
BYTE* lcCompData = (BYTE*) malloc (1024);
BYTE* gpcSendSource = (BYTE*) malloc (1024);
Sample sample_t;
memset((BYTE*)gpcSendSource,'0',1024);
memset(&sample_t, '\0', sizeof(Sample));
memcpy(gpcSendSource, &sample_t, sizeof(Sample));
bool lbPrefixed = getMCXBuffPrefix((char*)gpcSendSource,(char*)lcCompData,sizeof(Sample));
return 0;
Little guidance will be helpful.

I had checked on net as well as on social msdn site for this kind of error. Usually error is due to writing out of index.
As it is in your code.
strcpy_s(lcPacketPrefix+(sizeof(lcPacketPrefix)-strlen(lcPacketLen)),sizeof(lcPacketPrefix),lcPacketLen);
You're saying that the size of the buffer is greater than it is
because you're offsetting the start pointer.
If you'd more correctly written the code like this:
size_t offset = (sizeof(lcPacketPrefix) - strlen(lcPacketLen));
strcpy_s(lcPacketPrefix+offset,sizeof(lcPacketPrefix)-offset,lcPacketLen);
You'd have got a run-time error in the debug version of your code.
However that's not what you want. Try something like this instead:
size_t offset = (sizeof(lcPacketPrefix) - strlen(lcPacketLen));
strncpy(lcPacketPrefix + offset, lcPacketLen, strlen(lcPacketLen) );
But most importantly, understand what you'd done wrong and learn from
it.
Dave

Long running ACT_UPG during EHP4 (SP-Stack 08)

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