BI SDK/XMLA (MDX) - Does the query execution go through SAP BI Accelerator?

Environment : Portal - EP7.0 SPS 14, BI 7.0 SPS17
I have written customer report views which uses the BI SDK to execute BI querries through the portal.
Following link provides the detail about configuring the portal to access the BI system and execute queries through XMLA which used MDX statements on the BI system...
http://help.sap.com/saphelp_nw04s/helpdata/en/ba/e380e03c3a4dbf8cf082f0c910f9cf/frameset.htm
Does the the BI XMLA interface go though the SAP BI Accelerator to speed up query execution? I have provided the link below about SAP BI Accelerator...
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/3604c604-0901-0010-f0aa-b37378495537
If the answer is yes, how do I prove it?
Any help is really appreciated.
Thanks
Bhabesh Patel

You prove it because SAP said so:
/docs/DOC-7992#section7
just kidding
You can also run an ST05 trace (with RFC on) and look for the RFC call TREX_RFC_AGGREGATE_SP5

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select distinct 'MAP','Detail',so.doc_number as "DOC Number", so.offender_id as "Offender ID", so.first_name||' '|| so.middle_name||' '||so.last_name as "Offender Name",
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(select sc2.description from sor_code sc2 where sc2.code_id=so.sex) as "Sex",
(select sc8.description from sor_code sc8 where sc8.code_id=so.hair_color) as "Hair Color",
(select sc9.description from sor_code sc9 where sc9.code_id=so.eye_color) as "Eye Color",
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sl.status as "Status",
sl.jurisdiction as "Jurisdiction",
to_char(sl.ADDRESS_LATITUDE) as "Address Latitude",to_char(sl.address_longitude) as "Address Longitude",
to_char(sl.physical_address_latitude) as "Physical Latitude",to_char(sl.physical_address_Longitude) as "Physical Longitude",
decode(rox.habitual, 'Y', 'Habitual', '') as "Habitual",
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rox.registration_date as "Registration Date",
rox.end_registration_date as "End Registration Date"
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Tony Miller
Dallas, TX

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We have created query on Purchasing Cube 0PUR_C01 for
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In the above Query we have used the following things:
In Columns:
i) Exceptional aggregation for maximum & minimum PO Net Price using reference characteristic as Calendar Day.
ii) Minimum PO Price value we have multiplied with Actual GR Quantity for the calculation of Impact of Lowest PO Net Price.
iii) Number of vendors calculated key figure.
In Rows:i)     Only Material
In Filters:
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ii)     Calendar Year / Month with Select Option u2013 Optional.
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iv)     Vendor with excluded Unassigned (#).
Following are we have used for Performance:
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ii)     Partitioning on Calendar Year / Month (For 1 year 14 partitions) i.e. (04.2007 to 03.2008).
iii)      Collapse.
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Read Mode = H
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Catch Mode = 4
Persistence Mode = 3 (BLOB)
Optimization mode = 0.
Our inputs to this Query:
i)     We are passing plant range 1201 to 1299.
ii)     Calendar Year / Month 04.2007 to 03.2008.
So please suggest me how to reduce the execution time.
please help me.
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Hi,
First of all its a complete question with all the details. Good work.
As you partitioned the cube based on calmonth and you are also giving calmonth in selection, it will definitely work towards improved query performance.
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user9981103 wrote:
The conditions in the WHERE clause are checked in the reverse order of the given order.
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If there is a sufficiently selective b-tree index on USER_TYPE, the optimizer would undoubtedly use that index to process the USER_TYPE = 'Admin' condition and then check the STATUS column.
If there is a sufficiently selective b-tree index on STATUS, the optimizer would undoubtedly use that index to process the STATUS='Enabled' condition and then check the USER_TYPE column.
If there is a composite b-tree index on (STATUS, USER_TYPE), the optimizer would use that index to process the two conditions nearly simultaneously, though technically the leading column of the index is evaluated first. Of course, if you reverse the order of columns in the index, you get a different evaluation order
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Hi All,
I want to know the execution time taken for a particular query, How should i get that information ?
say for example,
select * from emp
after getting the result, i want to know the time taken for completing the execution.
How ?
Inputs are welcome !

BTW it was already written in a response to you yestreday:
Re: Query Plan
Gints Plivna
http://www.gplivna.eu

BI SDK/XMLA (MDX) - Does the query execution go through SAP BI Accelerator?

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