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Runtime Degradation - Parallel Execution

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Hi,  stay with me here

 

Problem

The run time of my calculation view tree is approximately 3 seconds, however, the CPU usage is huge and when it is run simultaneously by multiple users, the time it takes slows very very quickly (30sec+ run time).

 

It is currently structured such that the base holding is called 66 times. I am wondering how I can reduce this number of calls and improve performance across the board.

 

I have considered:

- cardinality on joins

- filtering the dataset at the lowest, earliest level

- a combination of proc calls to generate a table that is inserted into after SV section is calculated the first time, and then the DT's call that table, reducing the dynamic calculation calls during run time

 

Overview

I have a 3 calculation views that is structured as such

 

BASE (500 - 700ms run time)

SQL Script (calls BASE 6x)

UNION 11 DTs (calls SQL Script)


Additional Information for Overview

-The base view has been optimized with attribute views, cardinality on joins as well as filters at a low level.

-The SQL Script calls the base holding, and assigns 3 calculated columns, the first 2 are consistent the third is not mutually exclusive and therefore I have utilized union calls on the base holding to generate multiple rows with a different value for the 3rd calculated column

 

Ex.

(CC stands for Calculated column)

 

Base Holding

Row 1

Row 2

Row 3

 

SQL Script Output

Row 1 [CC1] [CC2] [CC3 - A]

Row 1 [CC1] [CC2] [CC3 - B]

Row 2 [CC1] [CC2] [CC3 - A]

Row 2 [CC1] [CC2] [CC3 - C]

Row 2 [CC1] [CC2] [CC3 - D]

Row 3 [CC1] [CC2] [CC3 - A]

 

- then I have 11 decision tables that then call this SQL Script and then they are all unioned to generate the output

     - as there are 11 decision tables and the SQL script calls the base holding 6 times, 6 x 11 = 66 times


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