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5 The interval notation for x > 1 is a 1; 1 b 1; 1

Figure 5-1

Table 4 Testing functional dependencies for CustomerID CustomerName Northwind AdventureWorks CustomerID 12 12 Product Gizmo Qty 10 Price 12.50 TotalPrice 125.00 OrderTotal 125.00 200.00

This time, the domain expert rejects the example. She tells me that it s incorrect to have orders for the same customer ID but with different names same customer ID should always imply same customer name. This leads me to the conclusion that CustomerName is functionally dependent on CustomerID. I already know that both CustomerName and CustomerID depend on OrderNo, which means I can deduct that OrderNo CustomerName is a transitive dependency. Because third normal form disallows transitive dependencies in a table, I now know that I ll end up with a separate table for CustomerID and CustomerName, and the latter removed from this table. I can choose to remove the column later and continue testing first (in which case I ll have a complete set of dependencies when I m done testing), or I can choose to remove this column now and continue my tests with the remaining attributes only (in which case I must take care not to forget testing the extra table just created, unless all possible dependencies have already been examined). I choose the latter because the number of tests to perform increases more than linearly with the number of attributes in each table, I prefer to do the tests on several narrow tables rather than on one single wide table.

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5:

sys.dm_exec_sql_text returns a table containing the database ID, object ID, and text of the SQL query. It also returns the number for deprecated numbered procedures, and a BIT indicating whether the SQL text is encrypted. I use this to correlate information in the sessions, requests, and connections DMVs so I can see exactly what queries these requests are running. This function can be applied inline when pulling data from DMVs like sys.dm_exec_requests, unlike the old ways to get query text (DBCC INPUTBUFFER or ::fn_get_sql()).

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to find the queries that are being recompiled the most, and also to find inefficient query plans. The DMV returns information including the last compile time, number of times the query has been compiled, and various metrics about each plan including execution counts, physical and logical I/O, and minimum, maximum, and total elapsed times. In SQL Server 2008, two new columns were added. These are query_hash and query_plan_hash, which make it easier to aggregate queries with similar (but not identical) execution plans.

Note that if you want to send data to the server with the HTTP GET method, you have to URL-encode that data That works with the downloadText function as well Here s a way to test whether you have access to a server that supports PHP, using the dataresponderphp script developed in 3:

sys.dm_exec_procedure_stats contains a large number of metrics about all stored procedures that currently have plans in the cache. Like sys.dm_exec_query_stats, there are details about execution counts, I/O, and elapsed time. I use it to determine

< php if ($_GET["data"] == "1") { echo 'The server got a value of 1'; } if ($_GET["data"] == "2") { echo 'The server got a value of 2'; } >

which of my stored procedures are running long, or to capture trends about stored procedures that are being executed more frequently. Prior to SQL Server 2008, this information wasn t readily available except via a SQL trace, or through custom logging inside each stored procedure or in the applications that call them. There is another companion DMV called sys.dm_exec_trigger_stats, but because I am not a big trigger user, it is less useful to me. I am hoping that in a future version they add another DMV, sys.dm_exec_function_stats. Then we will be able to better monitor the usage and efficiency of those objects.

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This view returns the count and last occurrence of user (and system) seeks, scans, lookups, and updates. I use this to find indexes which are not very useful, for example where writes far outweigh reads. By comparing the number of reads to the number of writes, I can easily see where some indexes are being overtaxed or underutilized.

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