TraceUtility

這是一個過時的POC，我不會更新它。請嘗試從Xcode 12中嘗試新的命令行工具xctrace從發行說明中引用：

樂器

新功能

• 現在，您可以使用XCTrace命令從現有儀器文件中導出分析核心表。有關更多詳細信息，請參見XCTrace Man頁面。 （12491801）

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跟踪性

使用instruments.App捆綁在Xcode 9.4中

博客文章（中文中文）

關於如何使用儀器運送的無證件框架從儀器生成的.Trace文檔中提取數據的概念證明。

我們需要與這些框架鏈接：

• /Applications/Xcode.app/Contents/SharedFrameworks/DVTFoundation.framework
• /Applications/Xcode.app/Contents/SharedFrameworks/DVTInstrumentsFoundation.framework
• /Applications/Xcode.app/Contents/SharedFrameworks/DVTInstrumentsUtilities.framework
• /Applications/Xcode.app/Contents/Applications/Instruments.app/Contents/Frameworks/InstrumentsPlugIn.framework
• /Applications/Xcode.app/Contents/Applications/Instruments.app/Contents/Frameworks/InstrumentsKit.framework
• /Applications/Xcode.app/Contents/Applications/Instruments.app/Contents/Frameworks/InstrumentsAnalysisCore.framework

應用程序使用的儀器模板是/Applications/Xcode.app/Contents/Applications/Instruments.app/Contents/Packages和in /Applications/Xcode.app/Contents/Applications/Instruments.app/Contents/PlugIns /conpents/applications/applications/instruments/instruments.app/contents/contents/plugins中。

似乎蘋果正在PlugIns遷移到Packages 。例如， PlugIns/SamplerPlugin.xrplugin中的儀器Time Profile在xcode 8中棄用，並且包含新版本Packages/Sampling.instrdst 。

該項目包含以下示例例程：

• 時間分配器：按自執行時間降序的順序打印出所有功能。
• 分配：在每一秒內按大小的降序打印出分配的內存。
• 核心動畫：打印出所有FPS數據樣本。
• 連接：通過傳輸協議，地址和字節打印出連接歷史記錄。

它們並不是儀器中包含的所有模板。但是，這足以說明如何在幾種常見結構（例如呼叫樹，表和流）中使用數據。

這是樣本輸出。

 Trace: /Users/qusic/Downloads/Instruments.trace
Device: Q's (10.3.1) (iPhone9,1 10.3.1 14E304)
Process: Playground (me.qusic.Playground)

Instrument: Time Profiler (com.apple.xray.instrument-type.coresampler2)
Run #2: Run 2
libobjc.A.dylib flushCaches(objc_class*) 25 ms
libobjc.A.dylib cache_erase_nolock 18 ms
libobjc.A.dylib std::__1::__function::__func<void (objc_class*) block_pointer, std::__1::allocator<void (objc_class*) block_pointer>, void (objc_class*)>::operator()(objc_class*&&) 7 ms
dyld __open 4 ms
dyld __mmap 3 ms
libsystem_platform.dylib OSAtomicDequeue 3 ms
libobjc.A.dylib std::__1::__function::__func<foreach_realized_class_and_metaclass(std::__1::function<void (objc_class*)>)::'lambda'(objc_class*), std::__1::allocator<foreach_realized_class_and_metaclass(std::__1::function<void (objc_class*)>)::'lambda'(objc_class*)>, bool (objc_class*)>::operator()(objc_class*&&) 3 ms
dyld getattrlist 2 ms
dyld stat64 2 ms
libobjc.A.dylib realizeClass(objc_class*) 2 ms
libobjc.A.dylib ___ZL11flushCachesP10objc_class_block_invoke_2 2 ms
dyld ImageLoaderMachOCompressed::eachBind(ImageLoader::LinkContext const&, unsigned long (ImageLoaderMachOCompressed::*)(ImageLoader::LinkContext const&, unsigned long, unsigned char, char const*, unsigned char, long, long, char const*, ImageLoaderMachOCompressed::LastLookup*, bool)) 2 ms
dyld ImageLoaderMachOCompressed::interposeAt(ImageLoader::LinkContext const&, unsigned long, unsigned char, char const*, unsigned char, long, long, char const*, ImageLoaderMachOCompressed::LastLookup*, bool) 2 ms
liboainject.dylib 0x10009806c 1 ms
libsystem_c.dylib _thread_stack_pcs 1 ms
libsystem_kernel.dylib __ulock_wake 1 ms
libsystem_platform.dylib _platform_strcmp 1 ms
libsystem_kernel.dylib __open 1 ms
libsystem_kernel.dylib stat 1 ms
libobjc.A.dylib rwlock_tt<false>::read() 1 ms
libsystem_platform.dylib _platform_memmove 1 ms
libsystem_kernel.dylib __ulock_wait 1 ms
libsystem_platform.dylib os_unfair_lock_lock 1 ms
libsystem_kernel.dylib _kernelrpc_mach_port_mod_refs_trap 1 ms
libsystem_platform.dylib _platform_memmove 1 ms
libsystem_pthread.dylib pthread_rwlock_unlock 1 ms
libxpc.dylib xpc_pipe_routine 1 ms
libsystem_c.dylib _thread_stack_pcs 1 ms
libsystem_platform.dylib OSAtomicDequeue 1 ms
libobjc.A.dylib search_method_list(method_list_t const*, objc_selector*) 1 ms
liboainject.dylib 0x10009b064 1 ms
// Truncated for brevity

Instrument: Allocations (com.apple.xray.instrument-type.oa)
Run #2: Run 2
1 2.8 MB
6 1.5 MB
36 768 KB
31 385 KB
33 384 KB
25 214 KB
27 209 KB
26 105 KB
2 2 KB
28 400 bytes

Instrument: Core Animation (com.apple.dt.coreanimation-fps)
Run #2: Run 2
00:00.000.000  0 FPS 34.0% GPU
00:00.001.148  4 FPS 36.0% GPU
00:01.008.767  0 FPS  0.0% GPU
00:02.017.394  4 FPS  0.0% GPU
00:03.307.257 52 FPS 49.0% GPU
00:04.466.874 59 FPS 34.0% GPU
00:05.470.818 60 FPS 35.0% GPU
00:06.481.732 59 FPS 38.0% GPU
00:07.487.501 54 FPS 10.0% GPU
00:08.493.927 26 FPS 54.0% GPU
00:09.724.195 20 FPS 38.0% GPU
00:10.846.081 57 FPS 31.0% GPU
00:11.854.797 24 FPS  8.0% GPU

Instrument: Connections (com.apple.dt.network-connections)
Run #2: Run 2
Wi-Fi tcp4 xxx:xxx<->xxx:xxx, 0 Bytes in, 64 Bytes out
Wi-Fi tcp4 xxx:xxx<->xxx:xxx, 0 Bytes in, 0 Bytes out
Wi-Fi upd4 xxx:xxx<->xxx:xxx, 227 Bytes in, 35 Bytes out
Wi-Fi tcp4 xxx:xxx<->xxx:xxx, 744 Bytes in, 0 Bytes out