I\'m writing a reporting stored procedure.I want to get the number of non-Acknowledged and non-Invoiced Purchase Orders, with the ability to (optionally) filter on CustomerID.
I\'m looking for any suggestions to optimize the following PROC SQL statement from a SAS program. The two tables involved contain around 5 million records each and the runtime is about 46 hours.
If you have a Rail app with many complex associated models, what techniques do you employ to reduce database queries?
CREATE TABLE `names` ( `name` varchar(20) ); Assume the names table contains all 40 million first names of everyone living i开发者_开发知识库n California (for example).
I\'m trying to achieve optimization based on deterministic behavior of a user defined function in SQL Server 2008.
we have a database table which has around 200,000 records. which includes 3 ntext columns, which hold string data with length vary from 4000-70000.but a mere selection on the table takes more than 1 m
I am worried this is a bit expensive. Plus I will soon implement a normalized system for the tags so there will be additional joins.
I need to present a flag - 0 if a condition is not meet, 1 if it is - and I can do it in two different ways :
I\'m doing a relatively complex CTE query with an expensive user defined scalar function call. The where clauses of the CTE filters most of the large table data, and returns relatively small result,
I have quite complicated view in mysql, like select filter.id as filt开发者_Python百科er_id, person.id, person.name
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