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These results show little difference, except that slightly more user CPU time is used when using the times method rather than using for. You can use this same technique to test different ways of calculating the same answers in your code, and optimize your code to use the fastest methods. Benchmark also includes a way to make completing multiple tests more convenient. You can rewrite the preceding benchmarking scenario like this: require 'benchmark' iterations = 1000000 Benchmark.bm do |bm| bm.report("for:") do for i in 1..iterations do x = i end end bm.report("times:") do iterations.times do |i| x = i end end end The primary difference with using the bm method is that it allows you to collect a group of benchmark tests together and display the results in a prettier way. Example output for the preceding code is as follows: user system for: 0.850000 0.000000 times: 0.970000 0.010000 total 0.850000 ( 0.980000 ( real 0.967980) 1.301703) Now you end up with overgrouping. In short, finding the right prefix length is a tricky process, and its accuracy and reliability is questionable. A much more accurate approach is to parse the query strings and produce a query signature for each. A query signature is a query template that is the same for queries following the same pattern. After creating these, you can then aggregate the data by query signatures instead of by the query strings themselves. SQL Server 2005 provides you with the sp_get_query_template stored procedure, which parses an input query string and returns the query template and the definition of the arguments via output parameters. As an example, the following code invokes the stored procedure, providing a sample query string as input, and it generates the output shown in Table 3-8: DECLARE @my_templatetext AS NVARCHAR(MAX); DECLARE @my_parameters AS NVARCHAR(MAX); EXEC sp_get_query_template N'SELECT * FROM dbo.T1 WHERE col1 = 3 AND col2 > 78', @my_templatetext OUTPUT, @my_parameters OUTPUT; SELECT @my_templatetext AS querysig, @my_parameters AS params; 8
Note that you need tuple variables again, because you join over only the EMPNO column; the columns h.DEPTNO and e.DEPTNO are now different. Figure 8-3 shows the syntax diagram of the ANSI/ISO join syntax, including the NATURAL JOIN operator, the ON clause, and the USING clause. Here s an example of the easy way to call a routine by using a structured variable that contains the elements of the first parameter list:
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