你的位置:首页 > 软件开发 > 操作系统 > android 性能分析案例

android 性能分析案例

发布时间:2016-05-18 01:00:15
本章以实际案例分析在android开发中,性能方面的优化和处理。设计到知识点有弱引用,memory monitor,Allocation Tracker和leakcanary插件。1.测试demo 下载bug项目:https://github.com/lzyzs ...

    本章以实际案例分析在android开发中,性能方面的优化和处理。设计到知识点有弱引用,memory monitor,Allocation Tracker和leakcanary插件。

1.测试demo

    下载bug项目:https://github.com/lzyzsd/MemoryBugs,请注意配合使用MemoryMonitor, AllocationTracker以及HeapDump,LeakCanary等工具来查找潜在的内存问题,并尝试解决。

2.测试工具介绍

(1)memory monitor简介

    AndroidStudio提供了Memory Monitor来实时显示应用运行时内存占用情况,下边蓝色部分是现在占用的内存,上面灰色的部分显示是已回收的内存。如果在图上看到尖峰,也就是快速分配内存又被回收,也就是发生了内存抖动,这里就是需要优化的地方。在模拟器或者真机中Debug项目,可实时监看Memory,CPU,NetWork等的资源占用情况。

android 性能分析案例    单击Allocation tracker标签,就会打开一个新的窗口,单击“Start Tracing”按钮;然后,让应用运行你想分析的代码。运行完毕后,单击“Get Allocations”按钮,一个已分配对象的列表就会出现第一个表格中。

单击第一个表格中的任何一项,在表格二中就会出现导致该内存分配的栈跟踪信息。通过allocation tracker,不仅知道分配了哪类对象,还可以知道在哪个线程、哪个类、哪个文件的哪一行。查看方式如下:

android 性能分析案例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.NET0D41+/6n82mWPAiSAFAKU7fHISgogCkBqZ8TJ6wJw06Sg9JQdEHISkh5QDeDOFB4vP3Tvh3iu7HESAgAgnuFfTF1eyON5H3amZfmTrjl+akUQfFqT/3TnP13ET7lK+FP4IdljfoDdgdivGsyNhtudiOWVl5+e9iU9KO/VG/Bz8XzZezzpFAUgDRCNAEUBCkL6ZS76/8Xg5mpAEFKPJyb6+aLxr1H2yD1AgiBJQJKIJChAkCQJAQFJEpCklSSt5OsDECRI2wAIEgKS4Dbv7Od2ESRJEuCH8nhZlEqlQqH4U3N5tfzptf6jACQJX0vBPzuc7P1ZxXFuBpPXWPqfka+eBmOsVCqt1qdiGuC+0gSJSBJCApIEIkgESAsgCWh9PecYSZIkSZAkVzwkAPh5DQEAmM3mubk53a+JN5RKpVKpVO2gVinVqserKpVKqVIplCqlUq16nXClK57doXxqo/LZJD+Bp7zxC4YzUr2z/Opt3jFAoeS+H6/cgJ8TCOGfheZh/LqkjlPZ1yi0PzM2m+2Zb4FSoZIrlQqVSqlWKZUqtUKpVilUSqVCplIqXsMp9hT/UhH4zyfo/Wy88WdxtmfIkCHDvzzPD4aZEPkXxhsul8udIUOGDBky/Dp4w5vhZ8Lj8bxuEzJkyJAhwwt4I5jhB3A4HM3Po+UZWltbW1paHA7H6zY5Q4YMGTK8gIzs/SAAgLKysvHx8YmJicnJyampqampqenp6Zk9zM7Ozs7O8ni86elpt9v9uk3OkCFDhgwv4AnZW1lZkUqlQqFQIFgUCBYFOwiFQqFQ8OTqY57amF4VCIUCvkAgWhTyFwViwZPJBMJFoVAoFPL5wkWBQCQS8EWCRYFwkb/IF/EXFxYFfOGiUCAQLAqFQoFQuPhMuXyBULgo4C8K+HwuK4FYKFwQCoSCZ+xcWlqiKGq3joFAIBgM+p+E28h97gIAqKioWFoSy6VyuVyukMmVCoVCqVIoNRqlWqPSaDQqjVqj1ai1Oo1ILPa4va+kyTJkyJAhwx/PE7InEolIknS73S6X2+XyuNJwTwGdrifXXU+y+7Qwve50u1wOl9Prdjs8Lp/L/dSxbrfL7Xa5nG63y+XxOF0ep8ftcjndTo/T7XQ7nW632+V2uV1ut9O9Y8njItxOl9vlcTndTpeT2+Dyud0Ot9PjesZOiqKEQqHH4+HqGAqFgsGg0Wicn5+fm5vj8Xhzc3NisdjpdHK7dtmRvWW5XCGTy5VytUyiXVrWLYmNMolOrdRqNCqNRqvTanVavUi87HFlensZMmTI8EvnCdnj8/mOHZwOp9PpdDpdTqfb6XQ5d9afJZ3+yVWH0+VwOdwOl9PpdDncDtfzDne4nA6Hc8Wx4nA7HW6Pw+F0uBwOh2vF4XQ6XQ6Py+lwOVdcDs+zxzmdTofD5XC4nI4Vp9PpdLqdTqdjxe10PF2Qw+EQi8VP3YGUy+UjIyMikWhxcZHrFyoUCpfLtZsgEAgAAMorK5eXpXKFYlkpEy+rBPOG+TnTwqxVuGhWqXV6tUan1eq1OoPGtCSSetzOV9RoGTJkyJDhj+UJ2VtYmLfbHSv2FccKbaepRaFofp5vMlnsdofdbrfb7SsrK9wnt7DL7pbH21dW7Cu26UfDFpJasTvsdtvuLi6pbcVGWwmz2bpic9J2O2G2QGC32232FbvTZl+x2x02p91uly4uSKTqp0q3rThWVuz0isNuX6HM2pGxObvdYbc5bHaHw2Z/oqCVFbvdvri4uCt7XJdOLpfzeDyTySSXy61W6/Ly8tTUlEaj2U0QDAYhhJVVFbIlmVIhm1eIxkSi2XnTAs86N29clhrUOrVJqTar5RqDSq/XLotlmZucGTJkyPDL5wnZm1/g0bTDZqONRtU3Xx86dOjrC1k5uZeuQGRDFE2SJEVRNE0TBEFRlM1mo5+EoigAAADAZrPZbJSdgie//GJJriMJwO3dTUbb7HYbWVeQ95vfvm202HUqyfu//+e7TcM0jQgLpBFNUWB4YMhohXfKi+81dxMEQdO0zWajKMpqtULKtkLTNG2HpFW7OHHgyGVEr6zQNGWnbM/jWdmTyWQ8Hs9qtWq1WofD4XK5RCKRWCwmCGL3CR+EsOJWhWxZKlNLetS9D9Vd3VLe1IJOMG/WKDWkYsKxUE8J6i1atc5gXl5e8ngyNzkzZMiQ4ZfOk7I3P48omw2BofYHb737sU5vQhSCAACL6fSRo98e+X6BP1dfU3foq8Pnz52XafTtTfeGJ2dVS4LSshoKWc4ePXbw668PHTgsluoRRdKQ+P7Tj747embfB/vaOvvLb5TO8hYVUtGN0luAstOIuJlz7t//m3/fOzQz3Nny1//2r+pud3W1PPxi/4GS4tLuzs5/87/8b0dOZTUUFx448PWH779ffafZjsjrxUVfH/7uUna+zmBYmJ449NXho/s/+OTARYTsNEIWglxYmF9YWODz+QsLC0ajkfvFI4FA8Kzszc7OQggtFovT6fR6vWKxeGBgYGBggKZpLg2EsLKqUi6RLWuWWtRtd3XNzcqe3qXZRdGiZbGDnr3hGc9amc43a5V6g3lpWeJ1u571b4YMGTJk+EXxhOzNzS1AiChAVBfmnckuJiFFmHVzc3MGreLv/sN/nOLxhXOTb7/5vlSpzjp95lp59ZXsMzUPO0QTA/s+/QZa9f/4n/7L6PR01pkzV2/cIQFEpOXoJx/W3W2efDT0h3c+KbpWeOZcbk1FaW5+KQERRVpv5pz7/quvj53Mzj179vPP91+5fPN3f/93t+/d+/3v3pyanH7nt28uSDUNRYVffn5w6tHgB198tzA+/PY7H8oU2iOHDtU23D3w8Ud9jyamBto/OZgDAA0hCSClVComJibGx8elUml69nIAnit7PB7PbrdTFOV0OqVS6eDgYE9PT09PD4SQSwkhrLp1Sy5VSLSSTkVPh6F/zDq7bNdSDr3L0OcWVTqnL61MXzXrlEaDcWlZ6s280pIhQ4YMv3ielD3ePCAASRJNt6s/OXhcbzCqF+c+/mS/XCb95INPVWZyvr/tg48PmayWutKirKtFeRfPVt9vnu1vfe/jr4HJ9NEfPpDp9dXXcy8W1BCEA1rM33/8/uyyXCPmv/32J/2Dw2+9+96+9z/sG5kjSTO0mm9mnb5ZWvT737z5wXuf5edfuXg2/+/+9j/V1DfcrquXShTv/dN7Arm2tujy7YZ2rYj3yRffjLQ1fnLgpMkKr108VlhU9sGb+6YEkuXZ4Y8P5VhJiiQtkCAJghCLxXw+//Hs5QTB5/OfK3sej8fj8UgkkuHh4d7e3r6+Pq1W6/f7uZQQwsrqKrlMrtAo5FBj8CG7L+zyrTv90B6weF1SPznmUnRa9CqTQbcslXh3XhbNkCFDhgy/WJ6SvTmLlSCtJsOy6O23fv/tdyezz5397T+/KZMKP3n/M6POqlUvf/rhvjPHTr7zzrvNvUO1N0vee+/9fW+/9U9vfWa0qP7u3/31+fPZ7/zh7b6hccJiJa2awx/t+/bY8e8OHrqYfd2gVh35Yt+7Hx/Sm4HJaiUtlsKL55oetmed/b6yuqH8xrWym3e//+bw0aMnCopuiJck7/3mt/kFpeXF+XV3mqVLgn37v1PJ5e/8/s2Tp86+/dZbAyOT2SePfLbvk08+eO+jL0+ZCdJqtQCLxWq1WJ9hYWHh2Vda5ubm/H4/QRBDQ0NcP0+lUu31BoTwVnWVXCZTqzQWK/K4172eiCPgoUImOmSmgxabj7QSOq3RajTqJdJlj8f/qlotQ4YMGTL8kTwhezzenMVkNVnMwGBcWhJ1dXa1dXTMTvGNBsMCb95ksprNepFQ2NnVMzExqTPo1XJ5f2/v+OjEDE8E9Oo//I9/auvqHR+d1BsMZrPFbDYuzPDGhsf6enuVCp1Rp/ru4KG7bd1Gi5kwWsxms1i0qFIqFUq5VmOULEskUrlCIunrGRh6NKDWaBamZoYfTUiWxFK5yqTXzi0IjGbLwhyvu7NrambWpLfIJdKenq7J0bH5+WWzxWSykISZMFvMzzI/P787OGG3tzc6OqpWq8Vi8cjISF9f39TUlE6n2+sNCGH1rRqFXKHRqLVaA0nSbk/I4bPZQiZb0EJ7CQs0GY0Gk9FkMholUonH7XtlzZYhQ4YMGf44npI9nslgMppMJoPRaDSkg7rRYjSaTEaj0WgymgxGbsFoMhoNJoPRZDQajWaj0WLRa2tu3VJr9UaDaSeN0WQ0mQwmo8loMppVSnlNVbVMpTEaDWaDyWAwGE3c4Uaj0WwymU0mk8loNBlMRqPeaDKa0zkbjUaTyWgwGI1Gk9nEWWU0mgwmU7oIo8loMZmMRqPZZDAZjAbjM8zNzT01bs9gMMzOzvL5fJFIpFAopFIpn883Go1700AIa6prFAqFVqvRanU6rd5kspDQQtImKzIarTq9UceZbjKZpDKZx5MZwJAhQ4YMv3SekD2ZTCYUCqU7SJ5E+gPs7t2bTPIM3MbnHvsj23+k6Jc8ViwWz83Neb1PaJLf7/f5fD6fb3d+Mq/Xu/tUjwNCWFNTo1QqtVqtVqvV6XTcD9IbdjCmNdlkMplkMpkn82wvQ4YMGX7xPCF7brfbbDYbfgD9D7C7d/fzR3jusS/kR8p9IUajkabp3dF43E3Op+Yh27trl13Z436H/lnB4zSPu48ql8szspchQ4YMv3wyv8Dwg6ysrIyOjiqex1M/Ua9Wq9Vq9VMdygwZMmTI8AskI3svIBQKPbdruJenfrohQ4YMGTL8YnkDUpBCNEIIUQgiRCFEIYpCCFEQcQuI4hYgQhSkEIIQURTk0iAuAYUoBClIIURxfwDi9vw64OaC4T4zZMiQ4cfZCZ4UhSgKwZ1tVDqg7gbWndWdMAshRe2s7h4CXrHxrwAK7TgAQQrBxypDgbTv0jJFUWlVSvsT7YrYj/KGN+CJRTdjkWgkthGJRWLRSCwajUUi0VgkFo1txqLR2GYsFotFY9FoJBaJRWMbkdhmLLLJbYvFotFYLBaNxSLRjc2NaGwjFt2MxtZjGTJkyJDheWxGYpHNaCwajUZj0eh6NLoRi8Zi0VgsupneFotGY9FYNBaNpqNsNLoZi21sbMa4eBuNRtKBN7bxmivzL0Y0thmLRWKxjc1oNBaJxqKxSGw9GotEI5ucV2KxWCwajUU2Y7FoZDOyGY1ysvVC3lhdXccsZrajwWCYZbdxCm/GopH1NcykMItTmEmxOIVZjHFkNSCTKpIsg1NsCrOpVCqVYnCKZVMYY5xik1tbUb5QlGQxTuFUCqcyZMiQ4aVJJBIbGxuv24pXAsuFSCaBU0nMJuObeq3epLdGIhGWTWHMpFiGwTiFU/jxJ8apFMapVAqncIrFLMYMxkwyhUOhEMZ/UfEWp1Is9wencCrFsIzTDk1681pkc2s7Fo1usSkGY4wxy7AphmVTOJVKMekjXyQ9GOM3VlfXMJs0qyT/7l/9awNyMMmta2dPnLlQwrCJrUgkupXAia1lId8dDNtJXV529upGZHM7wbJxzLCxaGx7eyvBpjCbiG9v+l32r747G2dwEmOWZdgMGTJkeGlisZjL5XrdVrwKMGYYlk0lU5hlVoDuwJcHci7lFxRea3zYmUgmkontjWg0mWBZlkkkEkkWM8l4kmVxMskkErFYdDORZBPb/HlBaDXKsCxC6HVX6OcHsyzDMkmWwcktzeLcOx/vv5JXMDY2qZKKJiZnmWQ8kYglt5JbySROJmLRja3tZIpJJjHGTBLvqE8gEOB+YCf92+dOJ8uyGOM3wqFAPLlllIj+9//5f6q52xNb8/6Hv/6/Tp0p1Kklp06cOX/mglKl+q//8f/9/Jvji7zxj/757f0HvsrOLYjFNhZmp74+/P2Zk6cIuOKzgws5uce+++q//H/vbsaZ7WQyEU9kyJAhw8uzsbGxsrLyuq14FcQTyXg8kdxOJBJbzTXlpy9c3dyKJ+Pxzdh2yOfKv5x38tiJu3ceRmMbFRXl/tV1IW98bIZvkC4VXLn22UefVtTcky4J/u+/+qvvTmavb0RIknzdFfr5ScYTyfjWVjyR3N4aaGr47uujvtBGLJ7QLvFHJ6aH+3qPfHv4my8PPezoki3xv/nu6KWcvI04E48zicR2fEd+aJpu3sPi4mI8Hk8kEm/4fO5IdF0rmj/91cF33/v8QUPd198cv3jx+pH9n5RV1H75yRe9w4+OfvGZRIeAXvm7//rf5TLFp58dMuhU7775FrR7HvV1nDqX01BZWlJWTRHGdz/6Zi0S24hubkYi0QwZMmR4aYLBIELodVvxKohEYtFIdHNjYyO6ce3MiXttI5FIbDMai0XWuh7cyc4rXqFtf/jtP1sA+dG+D6DT03rnVuXtltmBrvff3WfSaj/67Jv19cDBfR8YoXMjGjOZTJG/rHgbicaikc3NyHokFotGNlZdtvPHT/zmd7+fWlge726tuX1ve2NVp5S/++b7o2Pj+/7wm8am9vffeX9apIhEY9HoY19EIhEAQGdnZ3Nzs1QqjUQinKPecDod4WBQNj+Wm3v50Cf7/vPf/H1bR//Z0/kH33nnRllVe3O7VGv4/tN9QqnZpFg+c/ykDcFDh45KxfPvv/XJin9taW7o8JFT+Vnna+620WbjB5986wuFgqG1tZ1X/zNkyJDhZXC5XBaL5XVb8WoIh4Oh9aA/GArXFuWfvVQa8AUCgZDHs3KvrKS4/J7HvfLZ+++IVZoPP3hXR1DV1wtKbzWN9zSVldfTpPnz/ce8AdeBd97TGFAgHNZoNMG/rHgbDIWDobVwKBAKB0OhYMjr9tip+3VVHx840dNyv6rmDrJqvtn/aWNTDzTo3v2H/3ansbW1tVVrdQXDwdVnPGEymYRCod/v393yhsNhDwWCy/NTly/lD7bfOXU+d2Fq+HzOzQf1tfu/3J+fV7QoURRcPHPs5CXB9MS5E+dXEPnVwe8JQFw6d/r7I6cOfra/sXl4rOfh73/7+28PfvM3f/tbT2DNF1x73QMzMmTI8GeG0+k0m82v24pXQSjoCwZDoUBoNbiqVQnffeufTp4+l5udd/te0+L8+HvvfnTu5JmP931md7u//2b/V4e//se//4frtQ/HepsrKmpp0vr5l995/b5jn3+ac7nc43Wo1eq/vKHDoWAgGAwGA+F1v3e6r/tSzsWj336bW1jR1/agoqqhKOvIv/8//yY3t7ilo7O6+Oqhw4evXrum0qBgMBwOvviXcN5wOp2hYNDnXCEJFHR7HE6Px+GxQsrn9shkMoFw2e5wOCgkFilWaBthsYR8IYsJ+EN+l40WCoUyxbLbE/C53dJlmVwiV2nNwVA4FAqGQoFXenmQIUOGP3N+Pb291WA4GF4LhwLh4HogGISEaXZmlj8/a4ErQZ/PoFYLBEuEhQwGV5HFIBRINDo9oFacKzYK0kG/y2wkgqEwNBtlyyp/IKjVaoN/Wb29UCgUDgVDwVAgvBYMB+zQujC/KBSKbQ6vc4VGFE2adPIlkVgiM5ssbpdLvCRdFC06Xd5AOBgOroZC4R/P/A2nyxUOB1dDwXBoLRxcDYZDq8E1zoXhYCgcWg2HgqHQWojLKbwaCq2GQuFwKBgOBUKh1VA4sBYMh0Pr4XAoHFoNhdbC4dVwOBQKh8IZMmTI8NIEAgGXy/W6rXgVrIZCgdBaOBgMhcOr4fBqKLyajvRr4VA4HAyEQ2uh4Go4HXDXQ+HVIBdRQ2vhcDAcWguFw6shfzi0FgqFV1ZWXneFfmZC4XAoHF4NBcJpueH0ZzUUWl0NBoOhcDgcXAuGg6E1TuLCoXAwfTERDodWX5B5KPSGzWbzeN0ej8fj9ro9XrfX5XV7uZ8d97rdXrfb63G7vQGP1+nxuNwev9vj9nhcPjd3iM/j8fhdHrfb5/E4PR6v1+PxeLwej8ftSWeyg3vn0+t1c2ncu1ufSvo8dhO6nrfXuyeHl8gsQ4YMGX5WvB6P2+P2ur0ej9vt8T61+lRin9vl9vi8bo/b6/Z53F633+v2uLz+dGz0ur0et8fNBUlfOjynQ5/PzX16PV6vy+3xpkPjL5e99nndHreH++f27sZq944CcWk8Hq/b43V7fD63y+fy7uiR2+32ej3udBZer8ft97h9Xo/b53Z5PS435xSP15PO1+v1uN2Pi3+iCd5YWVkJvCR+n98fDPh9Ab834A/4/cGAz+f3BwL+gJ/78wTBQCC4Z8UXCPgDAV8gEAz6uJS+QCDgCwYDgWDQ/9SxTxMM+AKBQNAfCgRcXGJ/wB8IBNPZ+gNBvz8Q8PuDfv+eQjNkyJDh1RD0+31Bb9AXCgS8vmBwdzXo9/qCwUAgHSGDfn/QHwgG/EH/znHpkBXcEzP9gYA/GPD5d7YEA/6g388l9gd9O2kCXER91VV9aYL+dOT3Bfz+oD8QCPqCXr/fGwj4Ar5gIBDkKuoLBn3BQCDg41b9gaA/GPAHgv5AMOgPBP0+Tiz8gYA/kK77HqcFgn6fP8i5JhD0B/yBYNDv8wc4zwd8Qc7zj/UoGPC/sba29pIj/HEKpxjGYiVNBEkQFp1eq9Mb9HqD2+dlcfJH80hPL8CmME4xGLMYsyzmpnrh/r3QAIwxm2JxKj2/AbNrUSqVwnhPJn9RkxVkyJDhzwNuNhU2PYsK3l3lJlnZE+XYP7koNj1/yc5kJr9U8J4/O3EZ4xTmJlVhMcYMF9hTGHOqgFn2sbt2q7mbza4P8VNFPFv0ntla8JMew6kUfmN9fT2VSrEsm0gk8A4/UAmMWUYqFtQVHZ/pvtlUfrq+4FhzZa7b62ZZ5pli92bFpjDDcnMTYJarXiy6sZlMcvPr4Bc3HsaYwSybwuxmbH0rHscY4xSDWZxiGMwyDJNkWBanUphluEL/wmbryZAhwy+Z9MU8ZhLcRGJPrj6O15jhZhDBGHOfeyNVehmzbHpCMiaFdxLjVAozKYwZblIuhk0mEz8Srn8BYJxKpViGfVxTNsUyDMMynBqkfZBeTbEsZjFm40wykeScxyY5JUmlMMMwnFiwLMM+Fpf0Astyc5Wl8E5HiPNYWkzTysqyLE4m4ziVemN9fR1jHI1G+Xy+3W7n7HtuJbjpXla9UNh02jhRIOvIWmw6Je8vYTHXgXumzjubMGa1Knl1VVVtZVlFVXVVVZVSo2usq1RbQNqsl5I9FmPMMonm21V8kZZhMYuTmMWpeKyttSUv70pbR9dGLMZiBmd6fBkyZHi1YJbFLGPVqkanZri5tTDL0BZj3/AIy7I78ZjFbMJktmysr3m9bsnysk5viCd2b5Xh2RAq0wAAIABJREFUSGRDq9Eo5DKT2ZpIMji5DUmrWCymbTSDU26nXa1Wr8e2k8m42WTR67WhUPgXK3vcDGPxzbXhgcGmli4Ws5hlTQZ1QUHhlSvXDEaCYTEiLTdLr+dfzpcpVEnM4sT29PjYpUu5zc2t65txzCYxZlM4ldiOGUzmzc2YY8W+JF40Wawsy4keizHr87iWlsTLy5JQKLx72eBYsTs9PoZlKAoZDPqtze1YLGIwWAwGzdpGJN3b29jYePjw/2fvPcPbOA4+Tn+6+3B3z0UAWGU7rxMnbolrHDtuclPvsmXJkqxiqxG7INV7L1Qjqd6LVa0udgIiCfaKDmxDJSobSBAgCKLs7gzuw5KyJJc3lzev5Nj7e/4PiF1MBzF/zM7M4uyBAwdKS0t/6rInhICF8d42sun4TPJOuvrc16qzs7A76yBLg4HbTw8EjMdBKBQkSCrYF+JaoMPjqK+tWYEsWLZibW1NrautY+PSh

    圆心是起点处,如果你把鼠标放到我图中标注的区域,会在右边显示当前指示的是什么线程(Thread1)以及具体信息(分配了8821次,分配了 564.18k的内存),但是红框标注的区域并不代表Thread1,而是第一个同心圆中占比最大的那个线程,所以现在把鼠标放到第一个同心圆上,可 以看出来,划过同心圆的轨迹时可以看到右边的树枝的变化情况。

3.案例分析

(1)内存波动

    内存波动指不合理的设计,在一瞬间创建了多个对象,有及时释放时产生影响内存性能的现象。案例中的问题代码如下:

android 性能分析案例

    执行代码引起内存波动的分析图如下:

android 性能分析案例

(2)线程致使内存泄露

    Android中使用Handler造成内存泄露的例子代码如下:

1 Handler mHandler = new Handler() {2   @Override3   public void handleMessage(Message msg) {4     mImageView.setImageBitmap(mBitmap);5   }6 }

原标题:android 性能分析案例

关键词:Android

*特别声明:以上内容来自于网络收集,著作权属原作者所有,如有侵权,请联系我们: admin#shaoqun.com (#换成@)。

可能感兴趣文章

我的浏览记录