### 导航 - [索引](../genindex.xhtml "总目录") - [模块](../py-modindex.xhtml "Python 模块索引") | - [下一页](../faq/index.xhtml "Python 常见问题") | - [上一页](clinic.xhtml "Argument Clinic How-To") | -  - [Python](https://www.python.org/) » - zh\_CN 3.7.3 [文档](../index.xhtml) » - [Python 常用指引](index.xhtml) » - $('.inline-search').show(0); | # 使用 DTrace 和 SystemTap 检测CPython 作者David Malcolm 作者Łukasz Langa DTrace and SystemTap are monitoring tools, each providing a way to inspect what the processes on a computer system are doing. They both use domain-specific languages allowing a user to write scripts which: > - filter which processes are to be observed > - gather data from the processes of interest > - generate reports on the data As of Python 3.6, CPython can be built with embedded "markers", also known as "probes", that can be observed by a DTrace or SystemTap script, making it easier to monitor what the CPython processes on a system are doing. **CPython implementation detail:** DTrace markers are implementation details of the CPython interpreter. No guarantees are made about probe compatibility between versions of CPython. DTrace scripts can stop working or work incorrectly without warning when changing CPython versions. ## Enabling the static markers macOS comes with built-in support for DTrace. On Linux, in order to build CPython with the embedded markers for SystemTap, the SystemTap development tools must be installed. On a Linux machine, this can be done via: ``` $ yum install systemtap-sdt-devel ``` or: ``` $ sudo apt-get install systemtap-sdt-dev ``` CPython must then be configured `--with-dtrace`: ``` checking for --with-dtrace... yes ``` On macOS, you can list available DTrace probes by running a Python process in the background and listing all probes made available by the Python provider: ``` $ python3.6 -q & $ sudo dtrace -l -P python$! # or: dtrace -l -m python3.6 ID PROVIDER MODULE FUNCTION NAME 29564 python18035 python3.6 _PyEval_EvalFrameDefault function-entry 29565 python18035 python3.6 dtrace_function_entry function-entry 29566 python18035 python3.6 _PyEval_EvalFrameDefault function-return 29567 python18035 python3.6 dtrace_function_return function-return 29568 python18035 python3.6 collect gc-done 29569 python18035 python3.6 collect gc-start 29570 python18035 python3.6 _PyEval_EvalFrameDefault line 29571 python18035 python3.6 maybe_dtrace_line line ``` On Linux, you can verify if the SystemTap static markers are present in the built binary by seeing if it contains a ".note.stapsdt" section. ``` $ readelf -S ./python | grep .note.stapsdt [30] .note.stapsdt NOTE 0000000000000000 00308d78 ``` If you've built Python as a shared library (with --enable-shared), you need to look instead within the shared library. For example: ``` $ readelf -S libpython3.3dm.so.1.0 | grep .note.stapsdt [29] .note.stapsdt NOTE 0000000000000000 00365b68 ``` Sufficiently modern readelf can print the metadata: ``` $ readelf -n ./python Displaying notes found at file offset 0x00000254 with length 0x00000020: Owner Data size Description GNU 0x00000010 NT_GNU_ABI_TAG (ABI version tag) OS: Linux, ABI: 2.6.32 Displaying notes found at file offset 0x00000274 with length 0x00000024: Owner Data size Description GNU 0x00000014 NT_GNU_BUILD_ID (unique build ID bitstring) Build ID: df924a2b08a7e89f6e11251d4602022977af2670 Displaying notes found at file offset 0x002d6c30 with length 0x00000144: Owner Data size Description stapsdt 0x00000031 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: gc__start Location: 0x00000000004371c3, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6bf6 Arguments: -4@%ebx stapsdt 0x00000030 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: gc__done Location: 0x00000000004374e1, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6bf8 Arguments: -8@%rax stapsdt 0x00000045 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: function__entry Location: 0x000000000053db6c, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6be8 Arguments: 8@%rbp 8@%r12 -4@%eax stapsdt 0x00000046 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: function__return Location: 0x000000000053dba8, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6bea Arguments: 8@%rbp 8@%r12 -4@%eax ``` The above metadata contains information for SystemTap describing how it can patch strategically-placed machine code instructions to enable the tracing hooks used by a SystemTap script. ## Static DTrace probes The following example DTrace script can be used to show the call/return hierarchy of a Python script, only tracing within the invocation of a function called "start". In other words, import-time function invocations are not going to be listed: ``` self int indent; python$target:::function-entry /copyinstr(arg1) == "start"/ { self->trace = 1; } python$target:::function-entry /self->trace/ { printf("%d\t%*s:", timestamp, 15, probename); printf("%*s", self->indent, ""); printf("%s:%s:%d\n", basename(copyinstr(arg0)), copyinstr(arg1), arg2); self->indent++; } python$target:::function-return /self->trace/ { self->indent--; printf("%d\t%*s:", timestamp, 15, probename); printf("%*s", self->indent, ""); printf("%s:%s:%d\n", basename(copyinstr(arg0)), copyinstr(arg1), arg2); } python$target:::function-return /copyinstr(arg1) == "start"/ { self->trace = 0; } ``` It can be invoked like this: ``` $ sudo dtrace -q -s call_stack.d -c "python3.6 script.py" ``` 输出结果会像这样: ``` 156641360502280 function-entry:call_stack.py:start:23 156641360518804 function-entry: call_stack.py:function_1:1 156641360532797 function-entry: call_stack.py:function_3:9 156641360546807 function-return: call_stack.py:function_3:10 156641360563367 function-return: call_stack.py:function_1:2 156641360578365 function-entry: call_stack.py:function_2:5 156641360591757 function-entry: call_stack.py:function_1:1 156641360605556 function-entry: call_stack.py:function_3:9 156641360617482 function-return: call_stack.py:function_3:10 156641360629814 function-return: call_stack.py:function_1:2 156641360642285 function-return: call_stack.py:function_2:6 156641360656770 function-entry: call_stack.py:function_3:9 156641360669707 function-return: call_stack.py:function_3:10 156641360687853 function-entry: call_stack.py:function_4:13 156641360700719 function-return: call_stack.py:function_4:14 156641360719640 function-entry: call_stack.py:function_5:18 156641360732567 function-return: call_stack.py:function_5:21 156641360747370 function-return:call_stack.py:start:28 ``` ## Static SystemTap markers The low-level way to use the SystemTap integration is to use the static markers directly. This requires you to explicitly state the binary file containing them. For example, this SystemTap script can be used to show the call/return hierarchy of a Python script: ``` probe process("python").mark("function__entry") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; printf("%s => %s in %s:%d\\n", thread_indent(1), funcname, filename, lineno); } probe process("python").mark("function__return") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; printf("%s <= %s in %s:%d\\n", thread_indent(-1), funcname, filename, lineno); } ``` It can be invoked like this: ``` $ stap \ show-call-hierarchy.stp \ -c "./python test.py" ``` 输出结果会像这样: ``` 11408 python(8274): => __contains__ in Lib/_abcoll.py:362 11414 python(8274): => __getitem__ in Lib/os.py:425 11418 python(8274): => encode in Lib/os.py:490 11424 python(8274): <= encode in Lib/os.py:493 11428 python(8274): <= __getitem__ in Lib/os.py:426 11433 python(8274): <= __contains__ in Lib/_abcoll.py:366 ``` where the columns are: > - time in microseconds since start of script > - name of executable > - PID of process and the remainder indicates the call/return hierarchy as the script executes. For a --enable-shared build of CPython, the markers are contained within the libpython shared library, and the probe's dotted path needs to reflect this. For example, this line from the above example: ``` probe process("python").mark("function__entry") { ``` should instead read: ``` probe process("python").library("libpython3.6dm.so.1.0").mark("function__entry") { ``` (assuming a debug build of CPython 3.6) ## Available static markers `function__entry`(str *filename*, str *funcname*, int *lineno*)This marker indicates that execution of a Python function has begun. It is only triggered for pure-Python (bytecode) functions. The filename, function name, and line number are provided back to the tracing script as positional arguments, which must be accessed using `$arg1`, `$arg2`, `$arg3`: > - `$arg1` : `(const char *)` filename, accessible using `user_string($arg1)` > - `$arg2` : `(const char *)` function name, accessible using `user_string($arg2)` > - `$arg3` : `int` line number `function__return`(str *filename*, str *funcname*, int *lineno*)This marker is the converse of [`function__entry()`](#c.function__entry "function__entry"), and indicates that execution of a Python function has ended (either via `return`, or via an exception). It is only triggered for pure-Python (bytecode) functions. The arguments are the same as for [`function__entry()`](#c.function__entry "function__entry") `line`(str *filename*, str *funcname*, int *lineno*)This marker indicates a Python line is about to be executed. It is the equivalent of line-by-line tracing with a Python profiler. It is not triggered within C functions. The arguments are the same as for [`function__entry()`](#c.function__entry "function__entry"). `gc__start`(int *generation*)Fires when the Python interpreter starts a garbage collection cycle. `arg0` is the generation to scan, like [`gc.collect()`](../library/gc.xhtml#gc.collect "gc.collect"). `gc__done`(long *collected*)Fires when the Python interpreter finishes a garbage collection cycle. `arg0` is the number of collected objects. `import__find__load__start`(str *modulename*)Fires before [`importlib`](../library/importlib.xhtml#module-importlib "importlib: The implementation of the import machinery.") attempts to find and load the module. `arg0` is the module name. 3\.7 新版功能. `import__find__load__done`(str *modulename*, int *found*)Fires after [`importlib`](../library/importlib.xhtml#module-importlib "importlib: The implementation of the import machinery.")'s find\_and\_load function is called. `arg0` is the module name, `arg1` indicates if module was successfully loaded. 3\.7 新版功能. ## SystemTap Tapsets The higher-level way to use the SystemTap integration is to use a "tapset": SystemTap's equivalent of a library, which hides some of the lower-level details of the static markers. Here is a tapset file, based on a non-shared build of CPython: ``` /* Provide a higher-level wrapping around the function__entry and function__return markers: \*/ probe python.function.entry = process("python").mark("function__entry") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; frameptr = $arg4 } probe python.function.return = process("python").mark("function__return") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; frameptr = $arg4 } ``` If this file is installed in SystemTap's tapset directory (e.g. `/usr/share/systemtap/tapset`), then these additional probepoints become available: `python.function.entry`(str *filename*, str *funcname*, int *lineno*, frameptr)This probe point indicates that execution of a Python function has begun. It is only triggered for pure-Python (bytecode) functions. `python.function.return`(str *filename*, str *funcname*, int *lineno*, frameptr)This probe point is the converse of [`python.function.return()`](#c.python.function.return "python.function.return"), and indicates that execution of a Python function has ended (either via `return`, or via an exception). It is only triggered for pure-Python (bytecode) functions. ## 示例 This SystemTap script uses the tapset above to more cleanly implement the example given above of tracing the Python function-call hierarchy, without needing to directly name the static markers: ``` probe python.function.entry { printf("%s => %s in %s:%d\n", thread_indent(1), funcname, filename, lineno); } probe python.function.return { printf("%s <= %s in %s:%d\n", thread_indent(-1), funcname, filename, lineno); } ``` The following script uses the tapset above to provide a top-like view of all running CPython code, showing the top 20 most frequently-entered bytecode frames, each second, across the whole system: ``` global fn_calls; probe python.function.entry { fn_calls[pid(), filename, funcname, lineno] += 1; } probe timer.ms(1000) { printf("\033[2J\033[1;1H") /* clear screen \*/ printf("%6s %80s %6s %30s %6s\n", "PID", "FILENAME", "LINE", "FUNCTION", "CALLS") foreach ([pid, filename, funcname, lineno] in fn_calls- limit 20) { printf("%6d %80s %6d %30s %6d\n", pid, filename, lineno, funcname, fn_calls[pid, filename, funcname, lineno]); } delete fn_calls; } ``` ### 导航 - [索引](../genindex.xhtml "总目录") - [模块](../py-modindex.xhtml "Python 模块索引") | - [下一页](../faq/index.xhtml "Python 常见问题") | - [上一页](clinic.xhtml "Argument Clinic How-To") | -  - [Python](https://www.python.org/) » - zh\_CN 3.7.3 [文档](../index.xhtml) » - [Python 常用指引](index.xhtml) » - $('.inline-search').show(0); | © [版权所有](../copyright.xhtml) 2001-2019, Python Software Foundation. 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