How to reduce Data Manager time

Dear all,
I have a query which is showing 120 sec as Data manager time. Pls suggest the steps to reduce the Data manager time for this query.
Thanks

In this link you may find the answer to all related questions:
http://www.sdn.sap.com/irj/scn/go/portal/prtroot/docs/library/uuid/90080703-4331-2a10-cd98-9c1e95acdea0?quicklink=index&overridelayout=true
Reducing data manager time can be achieved by:
- optimization of data model
- as far as possible: parallization of multi provider access
- Aggreates
Regards
Aban

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load data
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into table emp2
fields terminated by ','
(empno, ename, hiredate, etime, ejob, deptno)Try
load data
infile 'C:\external\my_data.txt'
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SQL*Loader: Release 10.2.0.1.0 - Production on Mon May 31 09:45:10 2010
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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
East ---- S2 --- Coffee --- 15563 --- 1,458 --- 10991 --- ... --- 876
East ---- D1 --- Tea10 --- 15894 --- 1,664 --- 11615 --- ... --- 156
East ---- D3 --- Coffee --- 19689 --- 1,989 --- 15615 --- ... --- 986
East ---- C1 --- Coffee --- 18897 --- 1,988 --- 11898 --- ... --- 256
East ---- C3 --- Tea10 --- 11699 --- 1,328 --- 12156 --- ... --- 9896
Following 3 out of 14 (load-) rules files to load the data columns into the cube:
Rules File1:
dim 1 --- dim 2 --- dim 3 --- sales --- ignore --- ignore --- ... --- ignore
Rules File2:
dim 1 --- dim 2 --- dim 3 --- ignore --- cogs --- ignore --- ... --- ignore
Rules File14:
dim 1 --- dim 2 --- dim 3 --- ignore --- ignore --- ignore --- ... --- amount
Is the upper table design what GlennS mentioned as a "Data" column concept which only allows a single numeric data value ?
In this case I cant tag two or more columns as “Data fields”. I just can tag one column as “Data field”. Other data fields I have to tag as “ignore fields during data load”. Otherwise, when I validate the rules file, an Error occurs “only one field can contain the Data Field attribute”.
Or may I skip this error massage and just try to tag all 14 fields as “Data fields” and “load data” ?
Please advise.
Am I right that the other way is to reconstruct the table/view (and the rules files) like follows to load all of the data in one pass:
dim 0 --- dim 1 --- dim 2 --- dim 3 --- data
Account --- Region -- ID --- Product --- data
sales --- West --- D1 --- Coffee --- 11001
sales --- West --- D2 --- Tea10 --- 12011
sales --- West --- S1 --- Tea10 --- 14115
sales --- West --- C3 --- Tea10 --- 21053
sales --- East ---- S2 --- Coffee --- 15563
sales --- East ---- D1 --- Tea10 --- 15894
sales --- East ---- D3 --- Coffee --- 19689
sales --- East ---- C1 --- Coffee --- 18897
sales --- East ---- C3 --- Tea10 --- 11699
cogs --- West --- D1 --- Coffee --- 1,322
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
discounts --- West --- D1 --- Coffee --- 10789
discounts --- West --- D2 --- Tea10 --- 10548
discounts --- West --- S1 --- Tea10 --- 10145
discounts --- West --- C3 --- Tea10 --- 10998
discounts --- East ---- S2 --- Coffee --- 10991
discounts --- East ---- D1 --- Tea10 --- 11615
discounts --- East ---- D3 --- Coffee --- 15615
discounts --- East ---- C1 --- Coffee --- 11898
discounts --- East ---- C3 --- Tea10 --- 12156
amount --- West --- D1 --- Coffee --- 548
amount --- West --- D2 --- Tea10 --- 589
amount --- West --- S1 --- Tea10 --- 852
amount --- West --- C3 --- Tea10 --- 981
amount --- East ---- S2 --- Coffee --- 876
amount --- East ---- D1 --- Tea10 --- 156
amount --- East ---- D3 --- Coffee --- 986
amount --- East ---- C1 --- Coffee --- 256
amount --- East ---- C3 --- Tea10 --- 9896
And the third way is to adjust the essbase.cfg parameters DLTHREADSPREPARE and DLTHREADSWRITE (and DLSINGLETHREADPERSTAGE)
I just want to be sure that I understand your suggestions.
Many thanks for awesome help,
Zeljko

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