Rule based on a block
Hi I have a block that is based on many tables, 4 actually. I'm using forms 10g release 1 and the database is oracle 10g.
The block is very slow because the query is cost based. When I'm launching the same query with the hint /*+ rule */ the query is pretty fast. 4 minutes vs 400 miliseconds. Is there a way to tell the block that I want it rule based?
When I based the block on a view, I can specify the rule based hint, but I can't have the block based on a view, because I don't to update the block. The view is a bit complicated to be updateable. A view is updateable if the view have the primary key, and the join foreing key or something like that. Anyway I create the view and I include the primary key and I can't update it.
Do anyone know how I can add hint in a block in forms?
Thank you
Hi,
you could create a pre-query trigger that does the following
set_block_property('block_name', OPTIMIZER_HINT, 'RULE');
but as Francois suggests, i'd look at why the optimiser is producing such a poor plan
Hope this helps
Neil
Similar Messages
-
Dynamic Rule based implementation in PL/SQL
Hi,
We are trying to implement a dynamic rule based application in Oracle 9i. Its simple logic where we store expressions as case statments and actions seperated by commas as follows.
Rule: 'Age > 18 and Age <65'
True Action: 'Status = ''Valid'' , description = ''age in range'''
False Action: 'Status =''Invalid'', Description=''Age not in range'''
Where Age,Status, description are all part of one table.
One way of implementing this is fire rule for each record in the table and then based on true or false call action as update.
i.e
select (case when 'Age > 18 and Age <65' then 1 else 0 end) age_rule from tableX
(above query will in in a cursor xcur)
Then we search for
if age_rule = 1 then
update tablex set Status = ''Valid'' , description = ''age in range'' where id=xcur.id;
else
update tablex set Status =''Invalid'', Description=''Age not in range'' where id=xcur.id;
end if;
This method will result in very slow performance due to high i/o. We want to implement this in collection based method.
Any ideas on how to dynamically check rules and apply actions to collection without impact on performance. (we have nearly 3million rows and 80 rules to be applied)
Thanks in advanceReturning to your original question, first of all, there is a small flaw in the requirements, because if you apply all the rules to the same table/cols, than the table will have results of only last rule that was processed.
Suppose rule#1:
Rule: 'Age > 18 and Age <65'
True Action: 'Status = ''Valid'' , description = ''age in range'''
False Action: 'Status =''Invalid'', Description=''Age not in range'''
and Rule#2:
Rule: 'Name like ''A%'''
True Action: 'Status = 'Invalid'' , description = ''name begins with A'''
False Action: 'Status =''Invalid'', Description=''name not begins with A'''
Then after applying of rule#1 and rule#2, results of the rule#1 will be lost, because second rule will modify the results of the first rule.
Regarding to using collections instead of row by row processing, I think that a better approach would be to move that evaluating cursor inside an update statement, in my tests this considerably reduced processed block count and response time.
Regarding to the expression filter, even so, that you are not going to move to 10g, you still can test this feature and see how it is implemented, to get some ideas of how to better implement your solution. There is a nice paper http://www-db.cs.wisc.edu/cidr2003/program/p27.pdf that describes expression filter implementation.
Here is my example of two different methods for expression evaluation that I've benchmarked, first is similar to your original example and second is with expression evaluation moved inside an update clause.
-- fist create two tables rules and data.
drop table rules;
drop table data;
create table rules( id number not null primary key, rule varchar(255), true_action varchar(255), false_action varchar(255) );
create table data( id integer not null primary key, name varchar(255), age number, status varchar(255), description varchar(255) );
-- populate this tables with information.
insert into rules
select rownum id
, 'Age > '||least(a,b)||' and Age < '||greatest(a,b) rule
, 'Status = ''Valid'', description = ''Age in Range''' true_action
, 'Status = ''Invalid'', description = ''Age not in Range''' false_action
from (
select mod(abs(dbms_random.random),60)+10 a, mod(abs(dbms_random.random),60)+10 b
from all_objects
where rownum <= 2
insert into data
select rownum, object_name, mod(abs(dbms_random.random),60)+10 age, null, null
from all_objects
commit;
-- this is method #1, evaluate rule against every record in the data and do the action
declare
eval number;
id number;
data_cursor sys_refcursor;
begin
execute immediate 'alter session set cursor_sharing=force';
for rules in ( select * from rules ) loop
open data_cursor for 'select case when '||rules.rule||' then 1 else 0 end eval, id from data';
loop
fetch data_cursor into eval, id;
exit when data_cursor%notfound;
if eval = 1 then
execute immediate 'update data set '||rules.true_action|| ' where id = :id' using id;
else
execute immediate 'update data set '||rules.false_action|| ' where id = :id' using id;
end if;
end loop;
end loop;
end;
-- this is method #2, evaluate rule against every record in the data and do the action in update, not in select
begin
execute immediate 'alter session set cursor_sharing=force';
for rules in ( select * from rules ) loop
execute immediate 'update data set '||rules.true_action|| ' where id in (
select id
from (
select case when '||rules.rule||' then 1 else 0 end eval, id
from data
where eval = 1 )';
execute immediate 'update data set '||rules.false_action|| ' where id in (
select id
from (
select case when '||rules.rule||' then 1 else 0 end eval, id
from data
where eval = 0 )';
end loop;
end;
Here are SQL_TRACE results for method#1:
call count cpu elapsed disk query current rows
Parse 37 0.01 0.04 0 0 0 0
Execute 78862 16.60 17.50 0 187512 230896 78810
Fetch 78884 3.84 3.94 2 82887 1 78913
total 157783 20.46 21.49 2 270399 230897 157723
and this is results for method#2:
call count cpu elapsed disk query current rows
Parse 6 0.00 0.00 0 0 0 0
Execute 6 1.93 12.77 0 3488 170204 78806
Fetch 1 0.00 0.00 0 7 0 2
total 13 1.93 12.77 0 3495 170204 78808
You can compare this two methods using SQL_TRACE. -
Improving performace for a Rule Based Optimizer DB
Hi,
I am looking for information on improving the current performance of an ancient 35GB Oracle 7.3.4 using RULE based optimizer mode. It is using 160 MB SGA and the physical memory on the system is 512MB RAM.
As of now, all the major tasks which take time, are run after peak hours so that the 130 user sessions are not affected significantly.
But recently am told some procedures take too long to execute ( procedure has to do with truncating tables and re-populating data into it ) and I do see 54% of the pie chart for WAITS are for "sequential reads" followed by "scattered reads" of 36%. There are a couple of large tables of around 4GB in this DB.
Autotrace doesn't help me much in terms of getting an explain plan of slow queries since COST option doesnt show up and am trying to find ways of improving the performance of DB in general.
Apart from the "redo log space requests" which I run into frequently (which btw is something I am trying to resolve ..thanks to some of you) I dont see much info on exactly how to proceed.
Is there any info that I can look towards in terms of improving performance on this rule based optimizer DB ? Or is identifying the top sql's in terms of buffer gets the only way to tune ?
Thank you for any suggestions provided.Thanks Hemant.
This is for a 15 minute internal under moderate load early this morning.
Statistic Total Per Transact Per Logon Per Second
CR blocks created 275 .95 5.19 .29
Current blocks converted fo 10 .03 .19 .01
DBWR buffers scanned 74600 258.13 1407.55 78.44
DBWR free buffers found 74251 256.92 1400.96 78.08
DBWR lru scans 607 2.1 11.45 .64
DBWR make free requests 607 2.1 11.45 .64
DBWR summed scan depth 74600 258.13 1407.55 78.44
DBWR timeouts 273 .94 5.15 .29
OS Integral shared text siz 1362952204 4716097.59 25716079.32 1433177.92
OS Integral unshared data s 308759380 1068371.56 5825648.68 324668.12
OS Involuntary context swit 310493 1074.37 5858.36 326.49
OS Maximum resident set siz 339968 1176.36 6414.49 357.48
OS Page faults 3434 11.88 64.79 3.61
OS Page reclaims 6272 21.7 118.34 6.6
OS System time used 19157 66.29 361.45 20.14
OS User time used 195036 674.87 3679.92 205.09
OS Voluntary context switch 21586 74.69 407.28 22.7
SQL*Net roundtrips to/from 16250 56.23 306.6 17.09
SQL*Net roundtrips to/from 424 1.47 8 .45
background timeouts 646 2.24 12.19 .68
bytes received via SQL*Net 814224 2817.38 15362.72 856.18
bytes received via SQL*Net 24470 84.67 461.7 25.73
bytes sent via SQL*Net to c 832836 2881.79 15713.89 875.75
bytes sent via SQL*Net to d 42713 147.8 805.91 44.91
calls to get snapshot scn: 17103 59.18 322.7 17.98
calls to kcmgas 381 1.32 7.19 .4
calls to kcmgcs 228 .79 4.3 .24
calls to kcmgrs 20845 72.13 393.3 21.92
cleanouts and rollbacks - c 86 .3 1.62 .09
cleanouts only - consistent 40 .14 .75 .04
cluster key scan block gets 1051 3.64 19.83 1.11
cluster key scans 376 1.3 7.09 .4
commit cleanout failures: c 18 .06 .34 .02
commit cleanout number succ 2406 8.33 45.4 2.53
consistent changes 588 2.03 11.09 .62
consistent gets 929408 3215.94 17536 977.3
cursor authentications 1746 6.04 32.94 1.84
data blocks consistent read 588 2.03 11.09 .62
db block changes 20613 71.33 388.92 21.68
db block gets 40646 140.64 766.91 42.74
deferred (CURRENT) block cl 668 2.31 12.6 .7
dirty buffers inspected 3 .01 .06 0
enqueue conversions 424 1.47 8 .45
enqueue releases 1981 6.85 37.38 2.08
enqueue requests 1977 6.84 37.3 2.08
execute count 20691 71.6 390.4 21.76
free buffer inspected 2264 7.83 42.72 2.38
free buffer requested 490899 1698.61 9262.25 516.19
immediate (CR) block cleano 126 .44 2.38 .13
immediate (CURRENT) block c 658 2.28 12.42 .69
logons cumulative 53 .18 1 .06
logons current 1 0 .02 0
messages received 963 3.33 18.17 1.01
messages sent 963 3.33 18.17 1.01
no work - consistent read g 905734 3134.03 17089.32 952.4
opened cursors cumulative 2701 9.35 50.96 2.84
opened cursors current 147 .51 2.77 .15
parse count 2733 9.46 51.57 2.87
physical reads 490258 1696.39 9250.15 515.52
physical writes 2265 7.84 42.74 2.38
recursive calls 37296 129.05 703.7 39.22
redo blocks written 5222 18.07 98.53 5.49
redo entries 10575 36.59 199.53 11.12
redo size 2498156 8644.14 47135.02 2626.87
redo small copies 10575 36.59 199.53 11.12
redo synch writes 238 .82 4.49 .25
redo wastage 104974 363.23 1980.64 110.38
redo writes 422 1.46 7.96 .44
rollback changes - undo rec 1 0 .02 0
rollbacks only - consistent 200 .69 3.77 .21
session logical reads 969453 3354.51 18291.57 1019.4
session pga memory 35597936 123176.25 671659.17 37432.11
session pga memory max 35579576 123112.72 671312.75 37412.8
session uga memory 2729196 9443.58 51494.26 2869.82
session uga memory max 20580712 71213.54 388315.32 21641.13
sorts (memory) 1091 3.78 20.58 1.15
sorts (rows) 12249 42.38 231.11 12.88
table fetch by rowid 57246 198.08 1080.11 60.2
table fetch continued row 111 .38 2.09 .12
table scan blocks gotten 763421 2641.6 14404.17 802.76
table scan rows gotten 13740187 47543.9 259248.81 14448.15
table scans (long tables) 902 3.12 17.02 .95
table scans (short tables) 4614 15.97 87.06 4.85
total number commit cleanou 2489 8.61 46.96 2.62
transaction rollbacks 1 0 .02 0
user calls 15266 52.82 288.04 16.05
user commits 289 1 5.45 .3
user rollbacks 23 .08 .43 .02
write requests 331 1.15 6.25 .35Wait Events :
Event Name Count Total Time Avg Time
SQL*Net break/reset to client 7 0 0
SQL*Net message from client 16383 0 0
SQL*Net message from dblink 424 0 0
SQL*Net message to client 16380 0 0
SQL*Net message to dblink 424 0 0
SQL*Net more data from client 1 0 0
SQL*Net more data to client 24 0 0
buffer busy waits 169 0 0
control file sequential read 55 0 0
db file scattered read 74788 0 0
db file sequential read 176241 0 0
latch free 6134 0 0
log file sync 225 0 0
rdbms ipc message 10 0 0
write complete waits 4 0 0I did enable the timed_stats for the session but dont know why the times are 0's. Since I cant bounce the instance until weekend, cant enable the parameter in init.ora as well. -
Hello,
We wish to implement ATP check using Ent Services.
Details:
Environment : SAP ECC 6.o with Enhancement Package 3/ SCM 5.0
Ent service used: /SAPAPO/SDM_PARCRTRC : ProductAvailabilityRequirementCreateRequestConfirmation
We were able to carry out Product check using the service. However we are unable to carry out rule based ATP check using the same service.
We have carried out the entire configuration as per SAP's building block configuration guide for Global ATP & SAP Note 1127895.
For RBA <Rule based ATP check>, we are getting the results as expected when we create Sales order from SAP R/3 (Transaction VA01), however ATP simulation in APO & Ent service does not give the results as expected. When we carry out ATP simulation in APO / Ent service, results are same as Product check & not as RBA i.e. they respect only requested Product location stock & does not propose alternate Product or Location in case of shortages
Plz share the experience to fix the issue
Mangesh A. KulkarniHi mangesh
Check this links , not very sure , but may help you...
https://www.sdn.sap.com/irj/scn/wiki?path=/display/erplo/availability%252bchecking%252bin%252bsap
Re: ATP confirmation in CRM
https://www.sdn.sap.com/irj/scn/wiki?path=/display/scm/rba
Regards
Abhishek -
Rule based & Cost based optimizer
Hi,
What is the difference Rule based & Cost based optimizer ?
ThanksWithout an optimizer, all SQL statements would simply do block-by-block, row-by-row table scans and table updates.
The optimizer attempts to find a faster way of accessing rows by looking at alternatives, such as indexes.
Joins add a level of complexity - the simplest join is "take an appropriate row in the first table, scan the second table for a match". However, deciding which is the first (or driving) table is also an optimization decision.
As technology improves a lot of different techiques for accessing the rows or joining that tables have been devised, each with it's own optimium data-size:performance:cost curve.
Rule-Based Optimizer:
The optimization process follows specific defined rules, and will always follow those rules. The rules are easily documented and cover things like 'when are indexes used', 'which table is the first to be used in a join' and so on. A number of the rules are based on the form of the SQL statement, such as order of table names in the FROM clause.
In the hands of an expert Oracle SQL tuner, the RBO is a wonderful tool - except that it does not support such advanced as query rewrite and bitmap indexes. In the hands of the typical developer, the RBO is a surefire recipie for slow SQL.
Cost-Based Optimizer:
The optimization process internally sets up multiple execution proposals and extrapolates the cost of each proposal using statistics and knowledge of the disk, CPU and memory usage of each of the propsals. It is not unusual for the optimizer to analyze hundred, or even thousands, of proposals - remember, something as simple as a different order of table names is a proposal. The proposal with the least cost is generally selected to be executed.
The CBO requires accurate statistics to make reasonable decisions.
Even with good statistics, the complexity of the SQL statement may cause the CBO to make a wrong decision, or ignore a specific proposal. To compensate for this, the developer may provide 'hints' or recommendations to the optimizer. (See the 10g SQL Reference manual for a list of hints.)
The CBO has been constantly improving with every release since it's inception in Oracle 7.0.12, but early missteps have given it a bad reputation. Even in Oracle8i and 9i Release 1, there were countless 'opportunities for improvement' <tm> As of Oracle 10g, the CBO is quite decent - sufficiently so that the RBO has been officially deprecated. -
Hello,
We are implementening rule based ATP check for Sales order scnerio. Our Business process is
1.Customer will cretate order for product P1 & Location L1.
If stock is available, system will confirm the order else it should search for alternate product & location in following swquence
2. Product P2, Location L1
3. Product P1, Location L2
4. Product P2, Location L2
We have maintained all the configuration as per SAP bulding block for Rule based ATP check in SAP & APO server.
Problem : If stock for requested Product location is not available, syetem does not propose the stock of alternate product & location as maintained in rule sequence. It gives error as :
"No product found" "Internal error: Item /000000"
Would appreciate if anyone can share information on fixing ths issue?
With Regards
Mangesh A. Kulkarnihello
We have resolved the issue at our end..
It was due to activation of unwanted exit in APO..
Regards
Mangesh A. Kulkarni -
Rule based ATP is not working for Components
Hi All,
Our requirement is to do availability check through APO for Sales order created in ECC,so we are using gATP.
Requirement: We are creating salesorder for BOM header (Sales BOM) and avaialbility check should happen for components i.e. Product avalaibility & Rule based substitution.
Issue: Product availiabilty is working for components but rules based substituion is working, mean Rules are not getting determind for components.
Settings:
- Header doesnot exist in APO and compnents do exist in APO
- Availability check is not enabled for header item category and enabled for Item category for components
- Rules have been created for Components in APO
- Rule base ATP is activated in Check instructions
We have also tried MATP for this i.e. PPM created in APO but still didn't get the desired result.
If we create salesorder for the component material directly then Rule based ATP is happening, so for components Rule based ATP is not working.
How do we enable enable Rulesbased ATP for components, i mean is there any different way to do the same.
Thanks for help.
Regards,
JagadeeshHi Jagdeesh,
If you are creating BOM in ECC and CIFing PPM of FG/Header material to APO, I think you need to CIF Header material, too, with material integration model.
Please include header material in you integration models for material, SO and ATP check as well.
For component availability check, you can use MATP; but for MATP, FG should be in APO. You need not to CIF any receipts of FG (stock, planned orders, POs etc), so that MATP will be triggered directly. Then maintaining Rules for RMs will enable to select available RMs according to the rule created.
Regards,
Bipin -
Questions on Rules-Based ATP and Purchase Requisitions for STOs
Hello experts,
We are working on rules-based ATP configuration and have several questions about the functionality. Iu2019m hoping that some of you are using this functionality and can help give us direction.
In our environment we have multiple distribution centers and multiple manufacturing plants. We want to confirm sales orders against stock and production orders in any of those plants, depending on the locations that have stock or planned production. For example, we will place a sales order against plant A. If there is not enough stock in plant A then rules-based ATP will use location determination to check in plant B, then C. The scope of check on the ATP check will include stock and released production orders. We will configure plant A as the u201Cconsolidation locationu201D so if stock is found in plants B or C then stock transport orders will automatically be created to move the stock to plant A before shipping to the customer.
We have configured rules-based ATP and this functionality is working well in our Development system. The ATP check is executed and uses the rules-based ATP to find eligible stock in other plants. The system is also creating purchase requisitions to move the stock to the consolidation plant.
Our first concern is that there doesnu2019t appear to be any firm linkage between the sales order and the resulting purchase requisition. For example, if we create sales order 123 for plant A and the rules-based ATP finds stock in plant B it automatically creates a purchase requisition 987 to move the stock from plant B to plant A. However, there doesnu2019t appear to be a linkage between sales order 123 and purchase requisition 987. For instance, if we delete sales order 123 the purchase requisition doesnu2019t get deleted.
Our second concern is that the quantity on the purchase requisition can still be confirmed against later sales orders. For example, say the above scenario resulted in a purchase requisition 987 that consumed all the stock available in plant B. We then create a second sales order 456 for the same product. Plant A is out of stock so the rules-based ATP looks in plant B. We would expect that plant B would also not have any stock because itu2019s all been consumed by the purchase requisition. Instead, the system creates a second purchase requisition to move quantity from plant B to plant A. Itu2019s as if the system doesnu2019t realize that the purchase requisition 987 is already planning to move stock out of plant B.
Does anyone have any thoughts or suggestions on these two scenarios? Is there a way to configure the system so there is a hard linkage between the sales order and the purchase requisition so that if the sales order is deleted then the purchase requisition is also deleted? Should ATP realize that purchase orders are consuming inventory and not allow later sales orders to confirm against that same inventory? Any advice or experience would be greatly appreciated.
Thanks,
David Eady
Application Delivery Team Lead
Propex, Inc.Hi,
The scheduling is done in SCM, and from there, whenever the RBA is triggered, the calculation is done always with the old route in SCM. Until you get back to R/3 this is when your route is determined. But the ATP check is always with the original route. So the idea would be that you change the values of the route while still in APO, this is possible via the user exit. Should be done in scheduling in APO.
Hope this information is helpful.
Regards,
Tibor -
Document rule based classification
from the example in oracle text developers guide i tried to build a rule based document classification, using the code given below:
create or replace package classifier as
procedure this;
end;
show errors
create or replace package body classifier as
procedure this
is
v_document blob;
v_item number;
v_doc number;
begin
for doc in (select document_id, content from documents)
loop
v_document :=doc.content;
v_item:=0;
v_doc:=doc.document_id;
for c in (select category_id, category_name from docs_cats_rule_based_class
where matches(query,v_document)>0)
loop
v_item:=v_item +1;
insert into doc_cat_rule_based_class values (doc.document_id, category_id);
end loop;
end loop;
end this;
end;
show errors
exec classifier.this
this gives the following errors:
package classifier Compiled.
line 5: SQLPLUS Command Skipped: show errors
package body Compiled.
line 32: SQLPLUS Command Skipped: show errors
Error starting at line 33 in command:
exec classifier.this
Error report:
ORA-04063: package body "STARDOC.CLASSIFIER" has errors
ORA-06508: PL/SQL: could not find program unit being called: "STARDOC.CLASSIFIER"
ORA-06512: at line 1
i think i am missing some grant to package. please help!What version of Oracle are you using? Did you create the required tables and index in the earlier steps? What did you run it from? It appears that you did not run it from SQL*Plus. Please see the following demonstration that shows that it works fine on Oracle 10g when run from SQL*Plus with minimal privileges. I did not use any data.
SCOTT@10gXE> CREATE USER stardoc IDENTIFIED BY stardoc
2 /
User created.
SCOTT@10gXE> GRANT CONNECT, RESOURCE TO stardoc
2 /
Grant succeeded.
SCOTT@10gXE> CONNECT stardoc/stardoc
Connected.
STARDOC@10gXE>
STARDOC@10gXE> create table news_table
2 (tk number primary key not null,
3 title varchar2(1000),
4 text clob)
5 /
Table created.
STARDOC@10gXE> create table news_categories
2 (queryid number primary key not null,
3 category varchar2(100),
4 query varchar2(2000))
5 /
Table created.
STARDOC@10gXE> create table news_id_cat
2 (tk number,
3 category_id number)
4 /
Table created.
STARDOC@10gXE> create index news_cat_idx on news_categories (query)
2 indextype is ctxsys.ctxrule
3 /
Index created.
STARDOC@10gXE> create or replace package classifier
2 as
3 procedure this;
4 end classifier;
5 /
Package created.
STARDOC@10gXE> show errors
No errors.
STARDOC@10gXE> create or replace package body classifier
2 as
3 procedure this
4 is
5 v_document clob;
6 v_item number;
7 v_doc number;
8 begin
9 for doc in (select tk, text from news_table)
10 loop
11 v_document := doc.text;
12 v_item := 0;
13 v_doc := doc.tk;
14 for c in
15 (select queryid, category from news_categories
16 where matches (query, v_document) > 0)
17 loop
18 v_item := v_item + 1;
19 insert into news_id_cat values (doc.tk,c.queryid);
20 end loop;
21 end loop;
22 end this;
23 end classifier;
24 /
Package body created.
STARDOC@10gXE> show errors
No errors.
STARDOC@10gXE> exec classifier.this
PL/SQL procedure successfully completed.
STARDOC@10gXE> -
Re: Oracle 8i (8.1.7.4) Rule based v/s Cost based
Hi,
I would like to know the advantages/disadvantages of using RULE based optimizer v/s COST based optimizer in Oracle 8i. We have a production RULE based database and are experiencing performance issues on some queries sporadically.
TKPROF revealed:
call count cpu elapsed disk query current rows
Parse 0 0.00 0.00 0 0 0 0
Execute 3 94.67 2699.16 1020421 5692711 51404 0
Fetch 13 140.93 4204.41 688482 4073366 0 26896
total 16 235.60 6903.57 1708903 9766077 51404 26896
Please post your expert suggestions as soon as possible.
Thanks and Regards,
AI think the answer you are looking for is that Rule Based optimizer is predictive, but Cost Based optimizer results may vary depending on statistics of rows, indexes, etc. But at the same time, you can typically get better speed for OLTP relational databases with CBO, assuming you have correct statistics, and correct optimizer settings set.
-
Partitioning on Oracle 8i (Rule Based vs. Cost Based)
At my current engagement, we are using Oracle Financials 11.0.3 on Oracle 8.0.6. The application uses rule-based optimizer. The client wants to implement Oracle partitioning. With this in mind, we are concerned about possible performance issues that the implementation of partitioning may cause since RBO does not recognize it.
We agree that the RBO will see a non-partitioned table the same as a partitioned. In this scenario where you gain the most is with backup/recoverability and general maintenance of the partitioned table.
Nevertheless, we have a few questions:
When implementing partitions, will the optimizer choose to go with Cost base vs. Rule base for these partitioned tables?
Is it possible that the optimizer might get confused with this?
Could it degrade performance at the SQL level?
If this change from RBO to CBO does occur, the application could potential perform poorly because of the way it has been written.
Please provide any feedback.
Thanks in advance.If the CBO is invoked when accessing these tables, you may run into problems.
- You'll have to analyze your tables & ensure that the statistics are kept up to date.
- It's possible that any SQL statements which invoke the CBO rather than the RBO will have different performance characteristics. The SYSTEM data dictionary tables, for example, must use the RBO or their performance suffers dramatically. Most of the time, the CBO beats the RBO, but applications which have been heavily tuned with the RBO may have problems with the CBO.
- Check your init.ora to see what optimizer mode you're in. If you're set to CHOOSE, the CBO will be invoked whenever statistics are available on the table(s) involved. If you choose RULE, you'll only invoke the CBO when the RBO encounters situations it doesn't have rules for.
Justin -
My organization has an application that needs a very fine grained scurity model, that changes very often and is based upon a rules machnisem (written in PL/SQL). Is there a way to combine a rule based mechanism with the internal ACL mechanism of the iFS ?
nullHi Harvey_SO,
According to your description, you get the security ignored when using custom dynamic role-based security. Right?
In Analysis Services, it has some role overlapping scenarios, if two roles used to secure attributes in two different dimensions, which might both apply to some users simultaneously, it can cause the user has no security applied from either role. Please
refer to workarounds in the link below:
The Additive Design of SSAS Role Security
If you have any question, please feel free to ask.
Best Regards,
Simon Hou
TechNet Community Support -
we have an airline pricing system whose rules change often, and rather than re-designing tables and the client application code everytime that happens, we would like to develop a rule-based system to dynamically store the rules in a rule-based system that doesn't require re-design and code modification.
any ideas ?
here is an example of the data that we would like to store
if seasonality is LOW
and passenger is CHILD
and carrier is TRW
and origination is COS
and destination is PIT
and ticket code is Y
then price is 908
seasonality for carrier TRW is LOWfor travel between 01/15/06 to 04/15/06
seasonality for carrier JAR is LOW for travel between 02/01/06 to 05/01/06
age for carrier TRW is CHILD for passenger age betwen 2 and 12
age for carrier JAR is CHILD for passenger age between 6 and 14
.. and another price can be given with an entirely different set of rules
reason is ask in this forum is I read a blog of someone who praises the set-based nature of the SQL language for developing exactly this kind of system, rather than trying to implement it on the client (for example using JRules)What version of Oracle are you on? 10g introduced a rules engine into the database (Oracle Rules Manager and/or Oracle Expression Filter) which would seem to be right up your alley.
Justin -
Connect SharePoint to SQL Server Database Then Build Rules Based Returns System
Hello Guys,
I work for an ecommerce business. We sell a wide range of products to customers all around the world which are ordered from our websites and then dispatched to our customers from our warehouses.
I have been tasked with developing a computerised return system from the company because at the moment everything is done using paper forms.
We have all our customer, order and product data within SQL Server databases.
What I would like to know is...
1. Can we connect sharepoint online to a local sql server database
2. Could we then build searches within sharepoint to display data contained within these databases e.g. customer information etc
3. How is the data presented in sharepoint - is there a way to design how the data is displayed within sharepoint etc?
4. Can we then build a rules based return system within sharepoint? The on screen workflow would need to vary according to data contained within the database e.g. the weight if the product being returned and also on fields input by the service agent such
as the reason for the return, what solution the customer would like etc.
5. is it possible to build these workflows in such a way that they can be saved part way through then gone back to later
6. Can reports be build based on the returns that are being generated e.g. list of products most commonly returned
Sorry for all the questions, I am a bit of sharepoint novice. I think it may possible be able to do what we need but I just wondered if the answer to any of the above questions is definately a no because if it is that could mean it is not suitable
ThanksYou could use a BCS connection
http://community.office365.com/en-us/b/office_365_community_blog/archive/2012/10/11/business-data-connectivity-services-in-office-365-sharepoint-online.aspx, this will allow you to edit data in your non SharePoint SQL DB, on premises, from Office 365 SharePoint.
Search will index the web applications you point it at, and the lists from the BCS will be part of those web apps, site collections, sites at some place and will get indexed.
You can create views on the data, that can sort of work like a search, but when you search on the site where the lists are the query will return results based on the BCS data.
These views can be based on criteria such as the weight of the product being returned and other fields.
The data is presented as a list.
You can make it read only or read-write based on SharePoint permissions on the list. The account used to create the connection can edit.
BCS is possible in on-premises SharePoint too
here is a good read on it,
http://www.dotnetcurry.com/showarticle.aspx?ID=632
Stacy Simpkins | MCSE SharePoint | www.sharepointpapa.com -
Job Chain. How to create Rule based on Time also?
Hi ,
I need to check at 9:30 AM that one of the previous step in the existing chain has been completed.
If not I'd like to do some 'send_notification' Step.
So, I need to create rule based on Time and 'step_n succeeded'.
Could you please tell me how to do that?
Thanks for your help,
LSY.Hi,
Alberto is right in his approach. You can't say to evaluate the chains rules at 9:30am but you can set an evaluation context of 10 minutes so that the chains rules are reevaluated every 10 minutes.
Then you can create a rule that says
if the time is between 9:30am and 9:40am and step_to_check is running or not_started
then start send_notification_step
Hope this helps,
Ravi.
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