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Message Posted: Sat, 10 Jan 2015 @ 16:51:15 GMT
<-- Anonymously Posted: Saturday, January 10, 2015 09:20 -->
Happy New Year.
I would appreciate any advice on how to improve performance against an ever growing table.
It tracks changing measures against a customer's account on daily basis. (in excess of 1 billion rows) and has a single NUPI on the Account_No:
Account_Number (NUPI) Effective_From_Date Effective_To_Date Measure_Amount etc
Typical queries are 'what is the Amount at the end of the month?' These result in full table scans that are taking longer and longer on what is a highly used table.
Are there any effective ways to index or structure such a table? I have considered PPI but don't see how that could be implemented. Adding PPI to the To_Date would result in movement across partitions each time a new row was added.
I have read about the new 'temporal' data types in V13 however I am reluctant to have a mixture of table structures and inherent SQL usage in my database or is it worth considering for a single table?
Any advice appreciated.
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