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Although a debugger is a fundamental tool for inspecting applications, it is not the Holy Grail, and it must be used carefully, being aware of the fact that the process will interfere with the normal execution of the application. The most relevant impact that the debugging process has over a running program is the influence over the execution timing, which is a critical aspect of concurrent and graphical applications, which are becoming common nowadays. Sometimes a bug even disappears while using the debugger because of these changes to execution timings. Debugging and testing concurrent applications can be particularly difficult because the use of a debugger is guaranteed to alter execution timings. There is no general rule for debugging concurrent applications, but here we briefly discuss how the debugger can be used in these cases. Consider this simple example of a multithreaded application: #light open System open System.Threading

Question 2. Examine the code for the check_rewind() method in the Query_tree class. Change the implementation to use temporary tables to avoid high memory usage when joining large tables.

Depending on the compiler decision, it may occupy from 8 to 12 bytes on a 32-bit architecture. The most compact version of the structure uses the first 4 bytes for i, a single byte for c, and 2 more bytes for s. If the compiler aligns fields to addresses that are multiples of 4, then the integer i occupies the first slot, 4 more bytes are allocated for c (although only one is used), and the same happens for s. Padding is a common practice in C programs; because it may affect performance and memory usage, directives instruct the compiler about padding. It s possible to have data structures with different padding strategies running within the same program.

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let t1 = Thread(fun () -> while true do printf "Thread 1\n" ) let t2 = Thread(fun () -> while true do printf "Thread 2\n" ) t1Start() t2Start() Threads t1 and t2 access the console, which is a shared resource; when we run the program without a debugger attached, the string printed by the two threads appears interleaved on the console If you set a breakpoint on the two printf statements and you start a debugging session, you see that stepping automatically moves from one thread to the other and the output of the program is completely different from the one obtained without debugging; this is true also if you disable the breakpoints The output is even more unbalanced if you set the breakpoint in only one of the two threads We discussed shared memory multithreaded applications in 13.

This exercise also has a straightforward solution. See the MySQL code in the sql_select.cc file for details on how to create a temporary table. Hint: It s very much the same as create table and insert. You could also use the base Spartan classes and create a temporary table that stores the record buffers.

The first step you face when using PInvoke to access native code is finding the definition of data structures, including information about padding. Then, you can annotate F# structures to have the same layout as the native ones, and the CLR can automate the marshalling of data. Note that you can pass parameters by reference; thus, the C code may access the memory managed by the runtime, and errors in memory layout may result in corrupted memory. For this reason, you should keep PInvoke code to a minimum and verify it accurately to ensure that the execution state of the virtual machine is preserved. The declarative nature of the interface is a great help in this respect because you must check declarations and not interop code. Not all the values are marshalled as is to native code; some values may require additional work from the runtime. Strings, for instance, have different memory representations between native and managed code. C strings are arrays of bytes that are null terminated, whereas runtime strings are .NET objects with a different layout. Also, function pointers are mediated by the runtime: the calling convention adopted by the CLR isn t compatible with external conventions, so code stubs are generated that can be called by native code from managed code and vice versa.

In these applications, shared objects accessed by different threads are critical resources that may be viewed in the debugger If the debug of a single thread fails, setting breakpoints in different threads may help to study the dynamic of the application, even if the full interaction of the threads cannot be fully simulated If this approach fails, it may be useful to introduce tests inside the application and use the Debugger type only when a given condition occurs Channel-based messagepassing applications are generally easier to debug than those that rely on shared memory, because it is possible to monitor the communication end points using breakpoints or logging messages Although the careful use of the debugger may help in debugging concurrent applications, sometimes external observation is enough to influence a running program.

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