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help SQL Server to optimize the usage of the UDA. UDAs have to include the Serializable attribute. Serialization in .NET means saving the values of the fields of a class persistently. UDAs need serialization for intermediate results. The format of the serialization can be native, meaning they are left to SQL Server or defined by the user. Serialization can be native if you use only .NET value types; it has to be user-defined if you use .NET reference types. Unfortunately, the string type is a reference type in .NET. Therefore, you have to prepare your own serialization. You have to implement the IBinarySerialize interface, which defines just two methods: Read and Write. The implementation of these methods in our UDA is very simple. The Read method uses the ReadString method of the StringBuilder class. The Write method uses the default ToString method. The ToString method is inherited by all .NET classes from the topmost class, called System.Object. Continue implementing the UDA by following these steps: a. Specify that you are going to implement the IBinarySerialize interface in the structure. You do so by adding a colon and the name of the interface right after the name of the structure (the UDA name). b. Copy the Read and Write methods from Listing 6-8 to the end of your UDA. c. Change the Format.Native property of the SqlUserDefinedAggregate attribute to Format.UserDefined. With user-defined serialization, your aggregate is limited to 8000 bytes only. You have to specify how many bytes your UDA can return at maximum with the MaxByteSize property of the SqlUserDefinedAggregate attribute. To get the maximum possible string length, specify MaxByteSize = 8000. 13. You'll find some other interesting properties of the SqlUserDefinedAggregate attribute in Listing 6-8. Let's explore them:

You can see at the top that one query pattern accounts for 95.77 percent of the total duration. Based on my experience, a handful of query patterns typically cause most of the performance problems in a given system. To get back the actual queries that you need to tune, you should join the result table returned from the preceding query with the Workload table, based on a match in the checksum value (cs column), like so:

Also, set all connections to work under the default read committed isolation level:

WITH RunningTotals AS ( SELECT AQ1.cs, CAST(AQ1.total_duration / 1000. AS DECIMAL(12, 2)) AS total_s, CAST(SUM(AQ2.total_duration) / 1000. AS DECIMAL(12, 2)) AS running_total_s,

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IsInvariantToDuplicates: This is an optional property. For example, the MAX aggregate is invariant to duplicates, while SUM is not. IsInvariantToNulls: This is another optional property. It specifies whether the aggregate is invariant to NULLs. IsInvariantToOrder: This property is reserved for future use. It is currently ignored by the query processor. Therefore, order is currently not guaranteed. IsNullIfEmpty: This property indicates whether the aggregate will return a NULL if no values have been accumulated. 14. Add the aforementioned properties to your UDA by copying them from Listing 6-8. Your first UDA is now complete! 15. Listing 6-8 also has the code to implement a product UDA (CSProdAgg). Copy the complete code implementing CSProgAgg to your script. Note that this UDA involves handling of big integers only. Because the UDA internally deals only with value types, it can use native serialization. Native serialization requires that the StructLayoutAttribute be specified as StructLayout.LayoutKindSequential if the UDA is defined in a class and not a structure. Otherwise, the UDA implements the same four methods as your previous UDA. There is an additional check in the Accumulate method that prevents out-of-range values. 16. Finally, add the Visual Basic .NET version of both UDAs created so far:

SET TRANSACTION ISOLATION LEVEL READ COMMITTED;

CAST(AQ1.pct AS DECIMAL(12, 2)) AS pct, CAST(SUM(AQ2.pct) AS DECIMAL(12, 2)) AS run_pct, AQ1.rn FROM #AggQueries AS AQ1 JOIN #AggQueries AS AQ2 ON AQ2.rn <= AQ1.rn GROUP BY AQ1.cs, AQ1.total_duration, AQ1.pct, AQ1.rn HAVING SUM(AQ2.pct) - AQ1.pct <= 90 -- percentage threshold -- OR AQ1.rn <= 5 ) SELECT RT.rn, RT.pct, W.tsql_code FROM RunningTotals AS RT JOIN dbo.Workload AS W ON W.cs = RT.cs ORDER BY RT.rn;

SQL Server 2008 supports a row versioning technology that allows it to maintain older images (versions) of rows that resulted from committed transactions by using linked lists in tempdb . A source row can point to a linked list in tempdb, potentially containing multiple consistent versions of the row that were available in previous points in time, from newest to oldest . The row versioning technology supports different aspects of the product, including two isolation levels, which I ll describe here; constructing the inserted and deleted tables in triggers, as described in the previous chapter; online index operations; and multiple active result sets (MARS) . The two isolation levels that rely on row versioning are snapshot and read committed snapshot . In both isolation levels, a process does not request shared locks when reading data and is never in conflict with other processes modifying data . When reading data, if a requested row is locked, SQL Server uses the row versioning store to return an older consistent state of the row . Both of the snapshot-related isolation levels provide an optimistic concurrency model . In both row versioning based isolation levels, the read consistency problems described earlier a query reads the same row multiple times or skips rows cannot happen . The following sections describe the two isolation levels .

You will get the output shown in abbreviated form in Table 4-7.

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