TM1 Product Dimension Extract
Posted: Thu Aug 20, 2020 12:55 am
Hi ,
We have an important issue thats happening in cognos transformer where it cannot handle more than 65000 categories under a member .
We have no problem in tm1 in loading how many ever members . Sowe daily do a extract to cognos seperatley a flat file for products dimensions and seperate flat file for other dimensions and measures.
The issue happened was for 1 level of product it has a children which is more than 65000 categories. Eventhough all these catgories doesnot have sales its still sent and trying to load in cognos .
In tm1 while I do a asciooutput can i do somrthing like if a product level is say 10-1-150 -100 then take its material and check if it has sales for last 4 years and quantity for last four years and if its doesnot have then i will not extract to cognos .
Can this MDX be easily written and will not casue any performance issues on the extract? should i write a mdx subset and get all elements that has sales or qty greate than zero ?
Any thoughts or suggestions is appreciated.
We have an important issue thats happening in cognos transformer where it cannot handle more than 65000 categories under a member .
We have no problem in tm1 in loading how many ever members . Sowe daily do a extract to cognos seperatley a flat file for products dimensions and seperate flat file for other dimensions and measures.
The issue happened was for 1 level of product it has a children which is more than 65000 categories. Eventhough all these catgories doesnot have sales its still sent and trying to load in cognos .
In tm1 while I do a asciooutput can i do somrthing like if a product level is say 10-1-150 -100 then take its material and check if it has sales for last 4 years and quantity for last four years and if its doesnot have then i will not extract to cognos .
Can this MDX be easily written and will not casue any performance issues on the extract? should i write a mdx subset and get all elements that has sales or qty greate than zero ?
Any thoughts or suggestions is appreciated.