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For example, the following code identi es the ve query patterns in the Performance database with the highest total duration and returns the output shown in Table 4-9 in my system:

Another type of solution for custom aggregates is developing a specialized, optimized solution for each aggregate. The advantage is usually the improved performance of the solution. The disadvantage is that you probably won't be able to use similar logic for other aggregate calculations.

SQL Server does not support a true sense of nested transactions, nor does it support the concept of autonomous transactions yet . When you issue a ROLLBACK TRAN command within a transaction, SQL Server rolls back all activity performed as of the outermost BEGIN TRAN . If you issue a BEGIN TRAN statement within an existing transaction, you don t really open a new transaction . Rather, SQL Server simply increments an internal counter that you can query via the @@TRANCOUNT function . A COMMIT TRAN statement decrements the counter by one, and only the outermost COMMIT TRAN, which decrements the counter to zero, really commits the transaction . SQL Server will limit the number of levels you can open with BEGIN TRAN statements to 32 . SQL Server supports savepoints, which allow you to undo some partial activity within a transaction . To do so, you need to mark a savepoint by issuing a SAVE TRAN <savepoint name> statement and later issue a ROLLBACK TRAN <savepoint name> to undo the activity that was performed as of that savepoint . As an example, remember that in the previous chapter I demonstrated how you can maintain your own custom sequence (autonumbering mechanism) . I demonstrated a solution that maintains a blocking sequence . That is, when a transaction modifies the sequence value to increment it, it acquires an exclusive lock and keeps it until the transaction terminates . Other transactions attempting to increment the sequence value will be blocked in other words, the blocking sequence queues requests for new sequence values . That s exactly what you want to establish in cases where you want to prevent gaps in the sequence for example, when you use the sequence to generate invoice IDs .

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SELECT TOP (5) MAX(query) AS sample_query, SUM(execution_count) AS cnt, SUM(total_worker_time) AS cpu, SUM(total_physical_reads) AS reads, SUM(total_logical_reads) AS logical_reads, SUM(total_elapsed_time) AS duration FROM (SELECT QS.*, SUBSTRING(ST.text, (QS.statement_start_offset/2) + 1, ((CASE statement_end_offset WHEN -1 THEN DATALENGTH(ST.text) ELSE QS.statement_end_offset END - QS.statement_start_offset)/2) + 1 ) AS query FROM sys.dm_exec_query_stats AS QS CROSS APPLY sys.dm_exec_sql_text(QS.sql_handle) AS ST CROSS APPLY sys.dm_exec_plan_attributes(QS.plan_handle) AS PA WHERE PA.attribute = 'dbid' AND PA.value = DB_ID('Performance')) AS D GROUP BY query_hash ORDER BY duration DESC;

The task in the second exercise is to query the Orders table, and return for each customer the orders with the most recent order date for the customer . Here s the desired output when you run your solution against InsideTSQL2008, shown in abbreviated form:

4

option. This beautiful (and extremely fast) technique was devised by Michael Rys, a program manager with the Microsoft SQL Server development team in charge of SQL Server XML technologies, and Eugene Kogan, a technical lead on the Microsoft SQL Server Engine team. The PATH mode provides an easier way to mix elements and attributes than the EXPLICIT directive. Here's the specialized solution for aggregate string concatenation: SELECT groupid, STUFF((SELECT ',' + string AS [text()] FROM dbo.Groups AS G2 WHERE G2.groupid = G1.groupid ORDER BY memberid FOR XML PATH('')), 1, 1, '') AS string FROM dbo.Groups AS G1 GROUP BY groupid;

orderid ----------11044 11005 11066 10935 orderdate ----------------------2008-04-23 00:00:00.000 2008-04-07 00:00:00.000 2008-05-01 00:00:00.000 2008-03-09 00:00:00.000 custid ----------91 90 89 88 empid ----------4 2 7 4

TABLE 4-9

SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate >= '20080501' AND orderdate < '20080601'; SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate = '20080828'; select dbo.SQLSig (N'select * from t1 where col1 = ' + cast(n as nvarchar(11)), 4000) from dbo.nums where n <= 25000; INSERT INTO Performance.dbo.WaitStats (wait_type, waiting_tasks_count, wait_ time_ms, max_wait_time_ms, signal_wait_ time_ms) SELECT DISTINCT RTRIM(wait_type) AS wait_type, waiting_tasks_count, wait_time_ms, max_wait_time_ms, signal_ wait_time_ms FROM sys.dm_os_wait_stats; SELECT [orderid],[custid],[empid], [shipperid],[orderdate],[filler] FROM [dbo].[Orders] WHERE [orderid]=@1

11025 11046 10739 10850 10994 10822 ... 2008-04-15 2008-04-23 2007-11-12 2008-01-23 2008-04-02 2008-01-08 00:00:00.000 00:00:00.000 00:00:00.000 00:00:00.000 00:00:00.000 00:00:00.000 87 86 85 84 83 82 6 8 3 1 2 6

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