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If the thread s instruction pointer is at an offset identified by a table, the thread is said to have reached a safe point A safe point is a place where it s OK to leave a thread suspended until a garbage collection completes If the thread s instruction pointer isn t at an offset identified by an internal method table, the thread isn t at a safe point, and the CLR can t perform a garbage collection In this case, the CLR hijacks the thread: the CLR modifies the thread s stack so that the return address points to a special function implemented inside the CLR The thread is then resumed When the currently executing method returns, the special function will execute, suspending the thread However, the thread might not return from its method for quite some time .

In this practice, you use the Routing And Remote Access Server Setup Wizard on Computer1 to configure the Routing And Remote Access service for LAN routing.

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So after the thread resumes execution, the CLR waits about 250 milliseconds for the thread to be hijacked After this time, the CLR suspends the thread again and checks its instruction pointer If the thread has reached a safe point, the garbage collection can start If the thread still hasn t reached a safe point, the CLR checks to see whether another method has been called; if one has, the CLR modifies the stack again so that the thread is hijacked when it returns from the most recently executing method Then the CLR resumes the thread and waits another few milliseconds before trying again When all of the threads have reached a safe point or have been hijacked, garbage collection can begin When the garbage collection is completed, all threads are resumed, and the application continues running The hijacked threads return to the method that originally called them .

activities requirements and architecture, for instance is outside the scope of this book. The Additional Resources section at the end of the chapter describes books you can turn to for more information about them.

This algorithm has one small twist When the CLR wants to start a garbage collection, it suspends all threads that are executing managed code, but it does not suspend threads that are executing unmanaged code Once all of the threads that are executing managed code are at a safe point or are hijacked, the garbage collection is allowed to start The threads executing unmanaged code are allowed to continue running because any object that they are using should have been pinned If a thread currently executing unmanaged code returns to managed code, the thread is immediately suspended until the garbage collection has completed As it turns out, the CLR uses hijacking most of the time rather than using the JIT compiler produced tables to determine if the thread is at a safe point The reason is the JIT compiler.

Let s create bot.rb and the start of the Bot class: require 'yaml' require 'wordplay' class Bot attr_reader :name def initialize(options) @name = options[:name] || "Unnamed Bot" begin @data = YAML.load(File.read(options[:data_file])) rescue raise "Can't load bot data" end end end The initialize method sets up each newly created object and uses the options hash to populate two class variables, @name and @data. External access to @name is provided courtesy of attr_reader. File.open, along with the read method, opens the data file and reads in the full contents to be processed by the YAML library. YAML.load converts the YAML data into the original hash data structure and assigns it to the @data class variable. If the data file opening or YAML processing fails, an exception is raised, as the bot cannot function without data. Now you can create the greeting and farewell methods that display a random greeting and farewell message from the bot s data set. These methods are used when people first start to use the bot or just before the bot client exits. def greeting @data[:responses][:greeting][rand(@data[:responses][:greeting].length)] end def farewell @data[:responses][:farewell][rand(@data[:responses][:farewell].length)] end Ouch! This isn t nice at all. You have access to the greetings (and farewells) via @data[:responses], but selecting a single random phrase gets ugly fast. This looks like an

An Examination of Set-Based vs. Iterative/Procedural Approaches, and a Tuning Exercise 180 Additional Resources Conclusion 187 189

Now that you know which databases (in our case, one) involve most of the performance problem, you want to drill down to the process level; namely, identify the processes (stored procedures, queries, and so on) that need to be tuned For this task, you will find SQL Server's built-in tracing capabilities extremely powerful You need to trace a workload representing the typical activities in the system against the databases you need to focus on, analyze the trace data, and isolate the processes that need to be tuned Before I talk about the specific trace you need to create for such tuning purposes, I'd first like to point out a few important tips regarding working with traces in SQL Server in general Traces have an impact on the performance of the system, and you should put effort into reducing their impact.

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