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To be absolutely clear about it, the Enterprise-only view-matching feature never results in view statistics being created or updated.
The statistics on Customer ID are not actually terribly important in this simplified example, but that will not always be the case.We expect that an execution plan using the indexed view will be an effective strategy, because it will avoid a join and operate on data that is already partially aggregated.Since we are using SQL Server Standard Edition, we must specify the view explicitly and use a The execution plan produced shows a seek on the indexed view to find rows for the products of interest followed by an aggregation to compute the total quantity per customer: The Plan Tree view of SQL Sentry Plan Explorer shows cardinality estimation is exactly correct for the indexed view seek, and very good for the result of the aggregate: As part of the compilation and optimization process for this query, SQL Server created an additional statistics object on the Customer ID column of the indexed view.This action also creates index statistics, with a histogram built from Product ID values.
We are now asked to write a query that shows the total quantity of orders per customer, for a particular range of products.
Lower editions of SQL Server require the is specified, automatic statistics are created on indexed views exactly as happens with ordinary tables.