Performance implications of using multiple rules

Hi:
1. I have a question about the performance implications of multiple rules through a rule strategy sequence. Can you share your experience on this?
2. Suppose that I have three rules that are accessed through a rule strategy sequence. Would the increase in time to perform these three rules linear or some other function?
Thanks.

Satish,
Depends on the rule control you are using.
help.sap.com has given a really good example. Check this out
http://help.sap.com/saphelp_scm41/helpdata/en/26/c2d63b18bc7e7fe10000000a114084/frameset.htm
Let me know If you have trouble understanding or need some more help.
Regards
Kumar Ayyagari

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Hi, thanks for your interest
I am working with 10.2.0.4
My objective is to load a subset of the reservation data from the tables in the first DB (Reservation-OLTP-150 tables)
to the tables in the second DB (Reporting - about 15 tables at the moment), without affecting performance on the Reservation DB.
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dbms_aqadm.create_queue_table( queue_table => '&&CQT_QUEUE_TABLE_NAME',
queue_payload_type => 'RESV_DETAIL',
comment => 'Report queue table',
multiple_consumers => TRUE,
message_grouping => DBMS_AQADM.NONE,
compatible => '10.0.0',
sort_list => 'ENQ_TIME',
primary_instance => '0',
secondary_instance => '0');
dbms_aqadm.create_queue (
queue_name => '&&CRQ_QUEUE_NAME',
queue_table => '&&CRQ_QUEUE_TABLE_NAME',
max_retries => 5);
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o_resv_detail DLEX_AQ_ADMIN.RESV_DETAIL;
o_resv_detail:= DLEX_AQ_ADMIN.RESV_DETAIL(resvcode, resvhistorysequence);
DLEX_RESVEVENT_AQ.enqueue_one_message (o_resv_detail);
where DLEX_RESVEVENT_AQ.enqueue_one_message is :
PROCEDURE enqueue_one_message (msg IN RESV_DETAIL)
IS
enqopt           DBMS_AQ.enqueue_options_t;
mprop           DBMS_AQ.message_properties_t;
enq_msgid           dlex_resvevent_aq_admin.msgid_t;
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- PROPAGATION: The message is dequeued from 1st queue and enqueued automatically by AQ propagation into this 2nd queue.
(using a call to the following 'wrapper' procedure)
PROCEDURE schedule_propagate (
src_queue_name IN VARCHAR2,
destination IN VARCHAR2 DEFAULT NULL
IS
sprocname dlex_types.procname_t:= 'dlex_resvevent_aq_admin.schedule_propagate';
BEGIN
DBMS_AQADM.SCHEDULE_PROPAGATION(queue_name => src_queue_name,
                                        destination => destination,
latency => 10);
EXCEPTION
WHEN OTHERS
THEN
DBMS_OUTPUT.put_line (SQLERRM || ' occurred in ' || sprocname);
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- For 'NOTIFICATION': ONE subscriber was created using:
EXECUTE DLEX_REPORT_AQ_ADMIN.add_subscriber('&&STQ_QUEUE_NAME','&&STQ_SUBSCRIBER',NULL,NULL, NULL);
this is a wrapper procedure that uses:
DBMS_AQADM.add_subscriber (queue_name => p_queue_name, subscriber => subscriber_agent );
Then notification is registered with:
EXECUTE dlex_report_aq_admin.register_notification_action ('&&AQ_SCHEMA','&&REPORT_QUEUE_NAME','&&REPORT_QUEUE_SUBSCRIBER');
- job_queue_processes is set to 10
- The callback procedure is as follows
CREATE OR REPLACE PROCEDURE DLEX_AQ_ADMIN.queue_callback
context RAW,
reginfo SYS.AQ$_REG_INFO,
descr SYS.AQ$_DESCRIPTOR,
payload RAW,
payloadl NUMBER
IS
s_procname CONSTANT VARCHAR2 (40) := UPPER ('queue_callback');
r_dequeue_options DBMS_AQ.DEQUEUE_OPTIONS_T;
r_message_properties DBMS_AQ.MESSAGE_PROPERTIES_T;
v_message_handle RAW(16);
o_payload RESV_DETAIL;
BEGIN
r_dequeue_options.msgid := descr.msg_id;
r_dequeue_options.consumer_name := descr.consumer_name;
DBMS_AQ.DEQUEUE(
queue_name => descr.queue_name,
dequeue_options => r_dequeue_options,
message_properties => r_message_properties,
payload => o_payload,
msgid => v_message_handle
-- Call procedure to load data from reservation database to Reporting DB through the DB link
dlex_report.dlex_data_load.load_reservation
( in_resvcode => o_payload.resv_code,
in_resvHistorySequence => o_payload.resv_history_sequence );
COMMIT;
END queue_callback;
- I noticed that messages are not taken out of the 2nd queue,
I guess I would need to use the REMOVE option to delete messages from the queue?
Would this be a large source of performance degradation after just a few thousand messages?
- The data load through the DB may be a little bit intensive but I feel that doing things in parallel would help.
I would like to understand if Oracle has a way of dequeuing in parallel (with or without the use of notification)
In the case of multiple subscribers with notification , does 'job_queue_processes' value has an impact on the degree of parallelism? If not what setting has?
And is there a way supplied by Oracle to set the queue to notify only one subscriber per message?
Your advice would be very much appreciated
Philippe
Edited by: user528100 on Feb 23, 2009 8:14 AM

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Thanks a lot for your support. I’m just a little confused.
I will use an example to illustrate my problem a bit more clearly.
This is the basic table, in my case a view, which is queried by all 14 rules files:
column1 --- column2 --- column3 --- column4 --- ... ---column n
dim 1 --- dim 2 --- dim 3 --- data1 --- data2 --- data3 --- ... --- data 14
Region -- ID --- Product --- sales --- cogs ---- discounts --- ... --- amount
West --- D1 --- Coffee --- 11001 --- 1,322 --- 10789 --- ... --- 548
West --- D2 --- Tea10 --- 12011 --- 1,325 --- 10548 --- ... --- 589
West --- S1 --- Tea10 --- 14115 --- 1,699 --- 10145 --- ... --- 852
West --- C3 --- Tea10 --- 21053 --- 1,588 --- 10998 --- ... --- 981
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East ---- C1 --- Coffee --- 18897 --- 1,988 --- 11898 --- ... --- 256
East ---- C3 --- Tea10 --- 11699 --- 1,328 --- 12156 --- ... --- 9896
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dim 0 --- dim 1 --- dim 2 --- dim 3 --- data
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sales --- West --- D1 --- Coffee --- 11001
sales --- West --- D2 --- Tea10 --- 12011
sales --- West --- S1 --- Tea10 --- 14115
sales --- West --- C3 --- Tea10 --- 21053
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sales --- East ---- D1 --- Tea10 --- 15894
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sales --- East ---- C3 --- Tea10 --- 11699
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cogs --- West --- D2 --- Tea10 --- 1,325
cogs --- West --- S1 --- Tea10 --- 1,699
cogs --- West --- C3 --- Tea10 --- 1,588
cogs --- East ---- S2 --- Coffee --- 1,458
cogs --- East ---- D1 --- Tea10 --- 1,664
cogs --- East ---- D3 --- Coffee --- 1,989
cogs --- East ---- C1 --- Coffee --- 1,988
cogs --- East ---- C3 --- Tea10 --- 1,328
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discounts --- West --- D2 --- Tea10 --- 10548
discounts --- West --- S1 --- Tea10 --- 10145
discounts --- West --- C3 --- Tea10 --- 10998
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discounts --- East ---- D3 --- Coffee --- 15615
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amount --- West --- C3 --- Tea10 --- 981
amount --- East ---- S2 --- Coffee --- 876
amount --- East ---- D1 --- Tea10 --- 156
amount --- East ---- D3 --- Coffee --- 986
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