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Re: SQL QUERY

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Hi Karthik Ravi,

 

Source:

 

ETL DF Design:

Query logic follows below:

 

 

Create a NEW OUTPUT Column as APPLICATION_NAME and Map it as 'Eval_Revenue'. Same follows for KPI_TYPE

 

KPI_TYPE:

For KPI_VALUE and PTYPE map it with null


KPI_NUMBERS Logic: Create a NEW OUTPUT COLUMN as KPI_NUMBERS with Data Type Decimal(15,0)


ifthenelse( SQL_QUERY.NETREVENUE is null, 0 ,((sum(SQL_QUERY.NETREVENUE)/1000))*0.08 )

 

Drag and Drop the CUSTOMERNAME Directly from the Source.

 

WHERE Class Logic

((SQL_QUERY.EVALQUATERSK >= to_date(to_char(((((year(sysdate()) || '.') || month(sysdate())) || '.') || '01'), 'yyyy.mm.dd'), 'yyyy.mm.dd'))

AND

(SQL_QUERY.EVALQUATERSK <= to_date(add_months(last_date(sysdate()), 2), 'yyyy.mm.dd')))

Example : Output as EVALQUATERSK>= 2016-04-01 and 2016-06-30

 

Group By Tab:

 

Query_1_1 logic follows below:

Create a NEW OUTPUT Column as KPI_NUMBERS with Data Type :decimal (15,0)

 

Where Condition:

SQL_QUERY_1_1.EVALSTATUSNAME IN ( 'Complete')

AND

((SQL_QUERY_1_1.EVALQUATERSK >= to_date(to_char(((((year(sysdate()) || '.') || month(sysdate())) || '.') || '01'), 'yyyy.mm.dd'), 'yyyy.mm.dd'))

AND

(SQL_QUERY_1_1.EVALQUATERSK <= to_date(add_months(last_date(sysdate()), 2), 'yyyy.mm.dd')))

 

 

Group By Tab:

 

QUERY_1(Joining the two Query Transforms): Map all the fields to the Output.

Join Pairs: you need to specify the type of join and join condition.

 

Final Output:

 

 

Regards,

Akhilesh Kiran.


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