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SQL Server 2005 includes an optimization to assist with queries on tables that share similar DATETIME data When turned on, extra statistics will be generated for DATETIME columns Joining two tables, each with DATETIME columns that share a foreign key reference, may allow the query optimizer to be able to determine a better plan using the additional statistics For instance, the AdventureWorks sample database contains a table of orders called Sales SalesOrderHeader and a table of corresponding order detail (line items) called SalesSalesOrderDetail Each table contains a DATETIME column, ModifiedDate Assume that for auditing purposes, it s a business requirement of Adventure Works Cycles that any modification to an order detail row happen within 24 hours of a modification to the corresponding order header row This would mean that all ModifiedDate values in the Sales.



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Summary

SalesOrderDetail table would fall into a range between the order header s modified date and 24 hours later The query optimizer could potentially use this fact to improve performance of certain queries A requirement for the optimizer being able to use correlated DATETIME statistics is that at least one of the tables DATETIME columns must be the key column for a clustered index Since neither table includes the ModifiedDate column in its clustered index, one of the clustered indexes would have to be altered in order to use this optimization Once statistics are turned on and the correct indexes are in place, the query optimizer will be able to use the statistics to help drive better query plans For instance, given the SalesSalesOrderHeader and Sales.

http://apache.org/xml/properties/schema/ external-schemaLocation http://apache.org/xml/properties/schema/ external-noNamespaceSchemaLocation http://xml.org/sax/properties/declaration-handler http://xml.org/sax/properties/lexical-handler http://xml.org/sax/properties/dom-node http://xml.org/sax/properties/document-xml-version





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SalesOrderDetail tables, a user might want to see all orders modified in the last 24 hours and their corresponding line items, using the following query: SELECT * FROM SalesSalesOrderHeader SOH JOIN SalesSalesOrderDetail SOD ON SOHSalesOrderId = SODSalesOrderId WHERE SOHModifiedDate >= DATEADD(hh, -24, GETDATE()) If date correlation is enabled an the correct indexes are in place, the query optimizer can analyze the DATETIME statistics for these two tables and determine that data for the ModifiedDate column of the SalesOrderHeader table is always 24 hours or less before the ModifiedDate column of the corresponding rows in the SalesOrderDetail table This can allow the query to be internally rewritten into the following, possibly more efficient format: SELECT * FROM SalesSalesOrderHeader SOH JOIN SalesSalesOrderDetail SOD ON SOHSalesOrderId = SODSalesOrderId WHERE SOHModifiedDate >= DATEADD(hh, -24, GETDATE()) AND SODModifiedDate >= DATEADD(hh, -24, GETDATE()) AND SOD.

ModifiedDate <= GETDATE() This form of the query can take advantage of a clustered index that involves the SalesOrderDetails ModifiedDate column, thereby possibly avoiding an expensive clustered index lookup operation This will be especially advantageous the larger the dataset in each table grows and the more highly selective the date columns become..

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To turn on date correlation statistics for the AdventureWorks database, the following T-SQL would be used: ALTER DATABASE AdventureWorks SET DATE_CORRELATION_OPTIMIZATION ON Note that when performing this action, the database must have no users connected or the only connection should be the one running the ALTER DATABASE. Once the optimization is enabled, it will be automatically maintained by the query engine. Due to the extra work involved, there is a performance penalty for inserts or updates, so make sure to test carefully before rolling this into production environments. To find out if a database has date correlation turned on, query the is_date_correlation_on column of the sys.databases catalog view: SELECT Name, is_date_correlation_on FROM sys.databases The column is_date_correlation_on will have a value of 1 if date correlation is turned on for a database; otherwise, it will have a value of 0.

In this chapter, we ve shown you some realistic applications for Policy-Based Management, using both custom and predefined policies. As with any feature, it is important to understand how the Microsoftprovided policies are built, to avoid any false positives (or negatives). We suggest that you start small with a couple policies that you understand and build your Policy-Based Management implementation from there.

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