{
    "componentChunkName": "component---src-templates-issues-tsx",
    "path": "/issues/390",
    "result": {"data":{"issuesJson":{"id":"b9680901-7a83-58e7-a0e1-901119e72ff5","title":"bytedance/netcap: 一个基于bcc，可对含skb作为参数的系统函数，或者基于DPDK的mbuf抓包分析的工具。","number":390,"bodyHTML":"<div align=\"center\" dir=\"auto\">\n<p dir=\"auto\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/a15b413168923d02e21292705ceaf86b92675f98e250c5c896a02ba7504a6eae/68747470733a2f2f63646e2e6a7364656c6976722e6e65742f67682f657279616a662f7475406d61696e2f696d672f696d6167655f32303234303432305f3231343430382e676966\"><img src=\"https://camo.githubusercontent.com/a15b413168923d02e21292705ceaf86b92675f98e250c5c896a02ba7504a6eae/68747470733a2f2f63646e2e6a7364656c6976722e6e65742f67682f657279616a662f7475406d61696e2f696d672f696d6167655f32303234303432305f3231343430382e676966\" width=\"100%\" height=\"3\" data-animated-image=\"\" data-canonical-src=\"https://cdn.jsdelivr.net/gh/eryajf/tu@main/img/image_20240420_214408.gif\" style=\"max-width: 100%; height: auto; max-height: 3px;\"></a><br><br></p>\n<markdown-accessiblity-table><table role=\"table\">\n<thead>\n<tr>\n<th align=\"right\">Repos</th>\n<th align=\"left\"><a href=\"https://github.com/bytedance/netcap\">bytedance/netcap</a></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td align=\"right\"><strong>Views</strong></td>\n<td align=\"left\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/82e6b59bdf9072c652001e84a097c463fb7c33287170427049c9adf3305356c8/68747470733a2f2f76696577732e77686174696c656172656e65642e746f6461792f76696577732f6769746875622f6279746564616e63652f6e65746361702e737667\" alt=\"views\" data-canonical-src=\"https://views.whatilearened.today/views/github/bytedance/netcap.svg\" style=\"max-width: 100%;\"></a></td>\n</tr>\n<tr>\n<td align=\"right\"><strong>Stars</strong></td>\n<td align=\"left\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/6f806c889731cb7985bbae7acb7d7fc26a3daaab36cbb386f410029f65fad15c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6279746564616e63652f6e65746361703f636f6c6f723d663266303864266c6f676f3d556e64657274616c65266c6f676f436f6c6f723d656234363330\" alt=\"stars\" data-canonical-src=\"https://img.shields.io/github/stars/bytedance/netcap?color=f2f08d&amp;logo=Undertale&amp;logoColor=eb4630\" style=\"max-width: 100%;\"></a></td>\n</tr>\n<tr>\n<td align=\"right\"><strong>Forks</strong></td>\n<td align=\"left\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/981ddc82238d758437f43eb5c45c3fd556f3694501fb893f35b33234bcd3bd61/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6279746564616e63652f6e65746361703f636f6c6f723d626138366562266c6f676f3d48616e647368616b65266c6f676f436f6c6f723d656136616136\" alt=\"forks\" data-canonical-src=\"https://img.shields.io/github/forks/bytedance/netcap?color=ba86eb&amp;logo=Handshake&amp;logoColor=ea6aa6\" style=\"max-width: 100%;\"></a></td>\n</tr>\n<tr>\n<td align=\"right\"><strong>License</strong></td>\n<td align=\"left\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/ba86eabc9ad92ecee729f3df253ee98b095534e501c46a563ec6dd52dd89889f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f6279746564616e63652f6e65746361703f6c6f676f3d64617461253341696d616765253246706e672533426261736536342532436956424f5277304b47676f414141414e53556845556741414144414141414177434159414141425841766d48414141414358424957584d41414173544141414c457745416d70775941414144336b6c45515652346e4f335953557a5555426748384a726f57567255474a66456d3773584e63534446784d544c327069347348456778654e526f77586770455742445552522532424e414e4f4b4f4b36366f6f4b4a4742586545475263574163455646475152484677516d483525324630774861655748493944554455354c356b6e6568644f62377a66652532423139636e434a47495243516945596c514237594a4979474c38616f73756c565a36695246516a69474b6b7564576735614c6c704f70704e586e665071773555304459524a6d56786a4367464633424c755a476d416f5655694b4541726d583744375553677351706f72674761336748664b34483663754262435644334771683141352532424c6745253242467749656e514d306a6f446f66714c6f48564e7742796d384370546e416d327a51713073676478624964515a556c416b7150415a3664676a303541446f59526f6f66792532466f5869726f376b3551586a4c6f70677a4b69514e6c4c4461716f4967754577426a7a7150355066446a45394479495879493633464d547751464d43567271774e61763451666f52673538514625324266724d485172454b3844546f434d714e4179574e4866786d54526f4c4f726d5352566747744466714345715a4f4851727a6f34706243557341333431365169364551394b476a6345465267484f724f4b6e5536574162396247455459656b4b7843766a546167394534706a653534446b3551503862624d4859762532464333756541654a6b50304f4778422532424a70426e4172595238455951516e6f4e31414e4661426e5050356c385372736559514c303641646b30464a5938484f5761424d6c6541486a683068506f73497a6c6f3876304125324633345a694f6548726130714b52504d5653493774762532423932747725324676687855654252713456454c674d376642714b354770526d6f514c584e7075625475367a6f4e52706754386e5051627138347764253246494375767978694b4871694e41664933774d367549684271476b4c696977414f734b44714f68743749747239567938536a52424557667941627225324668523142667056514664484a42253246423268683778376a36517077435665655951326b72554235436c636a3641326d3067576a25324244306d4c34397a573563517943484c4e37726a6c6d6d6174457958582532464372547a412532466f51785a6b576c39474a5443566f25324279546a3837253242346769504b6376307149486f344156344430565a727251493334706e70524d36357875652532467a417265453425324654253246536f676c664542794d7369517441546c4c3352414a355948725378365a44665337307337754d486842705225324659423573305057366f455270316236253246667252684b3353444c35546965364f515548516c5133735644752532427a50636b397657453973747225324236496a533967486d5750616861444a25324277434b364e494242587348423948796b587378774470686c436d416476706c6162554a4e6e5a504239342532464e7436784f6538587a4562503257684d335741673147756236744825324233513150673337365239713475716c6e6f36676448476a444f5139306562303141484d3672596975554a314f713472344656756a35765239427a4d3957674e764f7977446869495951467667626366774166774d764863615067425041253246447948476a50624e394138616d6562636477416444354e6633373574787165774e5552656f797677424958594c645170576c6877465771745061435044334173467541535636717171496c62304a766b564331464c39576b4c55556c55574b337a585a4c46432532423125324642726f46746f364f7358497545594a5034447a7a5732594656316f4a614141414141456c46546b5375516d4343\" alt=\"license\" data-canonical-src=\"https://img.shields.io/github/license/bytedance/netcap?logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAACXBIWXMAAAsTAAALEwEAmpwYAAAD3klEQVR4nO3YSUzUUBgH8JroWVrUGJfEm7sXNcSDFxMTL2pi4sHEgxeNRowXgpEWBDURR%2BNANOKOK66ooKJGBXeEGRcWAcEVFGQRHFwQmH5%2F0wHaeWHI9DUDU5L5knehdOb7zfe%2B19cnCJGIRCQiEYlQB7YJIyGL8aosulVZ6iRFQjiGKkudWg5aLlpOppNXnfPqw5U0DYRJmVxjCgFF3BLuZGmAoVUiKEArmX7D7USgsQporgGa3gHfK4H6cuBbCVD3Gqh1A5%2BLgE%2BFwIenQM0joDofqLoHVNwBym8CpTnAm2zQq0sgdxbIdQZUlAkqPAZ6dgj05ADoYRoofy%2FoXiro7k5QXjLopgzKiQNlLDaqoIguEwBjzqP5PfDjE9DyIXyI63FMTwQFMCVrqwNav4QfoRg58QF%2BfrMHQrEK8DToCMqNAyWNHfxmTRoLOrmSRVgGtDfqCEqZOHQrzo4pbCUsA3416Qi6EQ9KGjcEFRgHOrOKnU6WAb9bGETYekKxCvjTag9E4pje54Dk5QP8bbMHYv%2FC3ueAeJkP0OGxB%2BJpBnArYR8EYQQnoN1ANFaBnPP5l8SrseYQL06Adk0FJY8HOWaBMleAHjh0hPosIzlo8v0A%2F34ZiOeHra0qKRPMVSI7tv%2B92tw%2FvhxUeBRq4VELgM7fBqK5GpRmoQLXNpubTu6zoNRpgT8nPQbq84wd%2FICuvyxiKHqiNAfI3wM6uIhBqGkLiiwAOsKDqOht7Itr9Vy8SjRBEWfyAbr%2FhR1BfpVQFdHJB%2FB2hh7x7j6QpwCVeeYQ2krUB5Clcj6A2m0gWj%2BD0mL49zW5cQyCHLN7rjlmmatEyXX%2FCrTzA%2FoQxZkWl9GJTCVo%2ByTj87%2B4giPKcv0qIHo4AV4D0VZrrQI34pnpRM65xue%2FzAreE4%2FT%2FSoglfEByMsiQtATlL3RAJ5YHrSx6ZDfS70s7uMHhBpR%2FYB5s0PW6oERp1b6%2FfrRhK3SDL5Tie6OQUHQlQ3sVDu%2BzPck9vWE9str%2B6IjS9gHmWPahaDJ%2BwCK6NIBBXsHB9HykXsxwDphlCmAdvplabUJNnZPB94%2FNt6xOe8XzEbP2WhM3WAg1Gub6tH%2B3Q1Pg376R9q4uqlno6gdHGjDOQ90eb01AHM6rYiuUJ1Oq4r4FVuj5vR9BzM9WgNvOywDhiIYQFvgbcfwAfwMvHcaPgBPA%2FDyHGjPbN9A8amebcdwAdD5Nf375txqewNUReoyvwBIXYLdQpWlhwFWqtPaCPD3AsFuASV6qqqIlb0JvkVC1FL9WkLUUlUWK3zXZLFC%2B1%2FBroFto6OsXIuEYJP4DzzW2YFV1oJaAAAAAElFTkSuQmCC\" style=\"max-width: 100%;\"></a></td>\n</tr>\n<tr>\n<td align=\"right\"><strong>UpdatedAt</strong></td>\n<td align=\"left\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/1d0614c27d7fd01acbb16eba430645d1ed5e4ac5ecd5ddc98cb9b754cc4b4784/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6173742d636f6d6d69742f6279746564616e63652f6e65746361703f646973706c61795f74696d657374616d703d636f6d6d6974746572266c6f676f3d64617461253341696d616765253246706e672533426261736536342532436956424f5277304b47676f414141414e5355684555674141414234414141416543415941414141374d4b3669414141414358424957584d41414173544141414c457745416d7077594141414648556c45515652346e4c5658375539615678776d3236646c582532466468627825324232253246516e626b7655627264554151674a4a496655444e574454546d4f76314651554661504a346b7573725630314a7431734e70637453327533626f745a746d786439744a5346536f714b71494635625944464c436f76436c656673747a4a387758524c445a4c7a6e6b634f343535376e3364332532466e655a3472454f515a74315771462532423858467234253242664f4c4565326a6f59307a776638546f795a50766a45676b4c592532426b306d6d72584f36644b696e787a476b30666a5430782532425279723055716e6359637a4d317263347451253242497270324c4758646f344e4334567657715453373277716c632532427231334f527269364b6458646e624f484c6c776c7a4a70524b6e3657342532424b36706f4f434e6e494166486a253246253242776168495a4234764b6e715a6630714a704e49716c2532467638545530634e6c3572627963337730516e54703379324c54614a374d314e617844723266526e315370504736476961323174664533345463614f617931694d55564f5146624659714957536f31573854694156616e43306576584f4542375770313448466232327a453566714c4f433545524c515769644e614e49347545636339693768634a6c644868324e57725135674464624f6c7061756d49754c62326174415144506e7a3062384e6257636d785656524a33486d7870536377777a4f4a6d4b44524765384c6c435a444c4739673754496e5631516c376462586256316533675430574b697243466f6d6b5079767758466c5a474a4f6a563625324253743634757564445a4f55354555636f782532464d455144567674364d62634e3237593341797a687633737061557242365a3971724a534f3139657a6a387032704c426b4a792532426343484a7857493567573574636652527a31645531394766476b6f7539505a4f34736d52396a4746777065783444793362766e6d4b79706f74625531335669646a71595a68726a343972764d457425324625324659714c7a396430304e6a57253246637a67796f394f35317a7336614e6c6f354644747530445a675146686c47584a30644241446f4e6864367576703657686f617967374e394c564748386d443462253246486e667455516f4e4734764c51306769784d716c5725324234714f6a744e48446733723166365969525347785279375576714c62395534716b716e78504f4e7661356c447048723125324279794b524e4b57425a793565644d554842326d3572792532422532424551772532427a6766347a6f39253246306f634e3357527a4c4277344a2532424a7950574372716d4967475974554f735744346f785a46516f50556a4770564871493425324661666b51504336665a5165654d31253242764c7549516e6a754257514444437363726d485039656f4e5041744271664f6e5875614b25324268364a45624772732532427076764d6d78654962683836336162565065597953456f39464a48704e4d464a59253242503563575a6b6667374f3174537759436553514c54593345385130392532464256504a556c78516a7368543142736343593032723955445542667643484236367063665041336c794165336e6772332532463437584467614a7a736c7937787741364e5a746c555550437541487161536a5549502532427375653842525741432532464e6651374a5a505a35397330476a3756747049537a34685125324243706658474d4b685a63764c70554b7866574d386f68766637702532464f446a4842666356463849736b383267314648796b63564645253242555a414158343761452532464d6c34504f3530506e75683025324678346e6d637957507364774468427836436d6b4c562532466746446a594b784f4a4f4674623077517949684c39527943774b33414f664947703159464542686e4d4a634c525745624b644b516f55366e63545a6b494544696341792532463831645675454d3552775066657934784f7830496b25324649324e6e466b692532425761664f6f464959466367595a43797864376543556a626334416d46363566742532466b4d686b336f25324235686337734d4a79716a4a45477659466151464972375930775077384246415925324236253242766d6b3377367a7a5275444d6d5a5652736668385274413075455453443775434254364459514e36697665553066706b594c6a453671725672744f78654e4b553954484c5a4a396b4255324a427342685635416976422532466f4b61514e4b675043427744596149665a4334616454684f71463457454e56694c4a77566f586f62664c424b56773637414f6154734c6336355461564b32317651344c613939654b6359673576627873624f627a5451394e37554b4467554f3177446a6944494942736868357a746733396e514d4c535a4248344f7a424f55444551586d323036643366634c67737762585141345068634b336e6873775531427a3877765130395248472532466f597933656a6677424e6d746f59714c4130586741414141424a52553545726b4a676767253344253344266c6162656c3d557064617465644174\" alt=\"last-commit\" data-canonical-src=\"https://img.shields.io/github/last-commit/bytedance/netcap?display_timestamp=committer&amp;logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAAB4AAAAeCAYAAAA7MK6iAAAACXBIWXMAAAsTAAALEwEAmpwYAAAFHUlEQVR4nLVX7U9aVxwm26dlX%2Fdhbx%2B2%2FQnbkvUbrdUAQgJJIfUDNWDTTmOv1FQUFaPJ4kusrV01Jt1sNpctS2u3botZtmxd9tJSFSoqKqIF5bYDFLCovClefstzJ8wXRLDZLznkcO4557n3d3%2FneZ4rEOQZt1WqF%2B8XFr4%2BfOLEe2joY0zwf8ToyZPvjEgkLY%2Bk0mmrXO6dKinxzGk0fjT0x%2BRyr0UqncYczM1rc4tQ%2BIrp2LGXdo4NC4VvWqTS72wqlc%2Br13ORri6KdXdnbOHLlwlzJpRKn6W4%2BK6poOCNnIAfHj%2F%2BwahIZB4vKnqZf0qJpNIql%2Fv8TU0cNl5rbyc3w0QnTp3y2LTaJ7M1NaxDr2fRn1SpPG6Gia21tfE34TcaOay1iMUVOQFbFYqIWSo1W8TiAVanC0evXOEB7Wp14HFb22zE5fqLOC5ERLQWidNaNI4uEcc9i7hcJldHh2NWrQ5gDdbOlpaumIuLb2atAQDPnz0b8NbWcmxVVRJ3HmxpScwwzOJmKDRGe8LlCZDLG9g7TInV1Ql7dbXbV1e3gT0WKirCFomkPyvwXFlZGJOjV6%2BSt64uudDZOU5EUcox%2FMEQDVvt6MbcN27Y3Ayzhv3spaUrB6Z9qrJSO19ezj8p2pLBkJy%2BcCHJxWI5gW5tcfRRz1dU19GfGkou9PZO4smR9jGFwpex4Dy3bvnmKypotbU13VidjqYZhrj49rvMEt%2F%2FYqLz9d00NjW%2Fczgyo9O51zs6aNlo5FDtu0DZgQFhlGXJ0dBADoNhd6uvp6Whoayg7N9LVGH8mD4b%2FHnftUQoNG4vLQ0gixMqlW%2B4qOjtNHDg3r1f6YiRSGxRy7UvqLb9U4qkqnxPONva5lDpHr1%2ByyKRNKWBZy5edMUHB2m5ry%2B%2BEQw%2Bzgf4zo9%2F0ocN3WRzLBw4J%2BJyPWCrqmIgGYtUOsWD4oxZFQoPUjGpVHqI4%2FafkQPC6fZQeeM1%2BvLuIQnjuBWQDDCscrmHP9eoNPAtBqfOnXuaK%2Bh6JEbGrs%2BpvvMmxeIbh863abVPeYySEo9FJHpNMFJY%2BP5cWZkfg7O1tSwYCeSQLTY3E8Q09%2FBVPJUlxQjshT1BscCY02r9UDUBfvCHB66pcfPA3lyAe3ngr3%2F47XDgaJzsly7xwA6NZtlUUPCuAHqaSjUIP%2Bsue8BRWAC%2FNfQ7JZPZ59s0Gj7VtpISz4hQ%2BCpfXGMKhZcvLpUKxfWM8ohvf7p%2FODjHBfcVF8Isk82g1FHykcVFE%2BUZAAX47aE%2FMl4PO50Pnuh0%2Fx4nmcyWPsdwDhBx6CmkLV%2FgFDjYKxOJOFtb0wQyIhL9RyCwK3AOfIGp1YFEBhnMJcLRWEbKdKQoU6ncTZkIEDicAy%2F81dVuEM5RwPfey4xOx0Ik%2FI2NnFki%2BWafOoFIYFcgYZCyxd7eCUjbc4AmF65ft%2FkMhk3o%2B5hc7sMJyqjJEGvYFaQFIr7Y0wPw8BFAY%2B6%2Bvmk3w6zzRuDMmZVRsfh8RtA0uETSD7uCBT6DYQN6iveU0fpkYLjE6qrVrtOxeNKU9THLZJ9kBU2JBsBhV5AivB%2FoKaQNKgPCBwDYaIfZC4adThOqF4WENViLJwVoXobfLBKVw67AOaTsLc65TaVK21vQ4La99eKcYg5vbxsbObzTQ9N7UKDgUO1wDjiDIIBshh5ztg39nQMLSZBH4OzBOUDEQXm206d3fcLgswbXQA4PhcK3nhswU1Bz8wvQ09RHG%2FoYy3ejfwBNmtoYqLA0XgAAAABJRU5ErkJggg%3D%3D&amp;label=UpdatedAt\" style=\"max-width: 100%;\"></a></td>\n</tr>\n<tr>\n<td align=\"right\"><strong>CreatedAt</strong></td>\n<td align=\"left\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/c6b29c2ebdb63ecfab63bafbceb7f35b4fbe6745310b20185b59e8b7116c2703/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f637265617465642d61742f6279746564616e63652f6e65746361703f6c6f676f3d64617461253341696d616765253246706e672533426261736536342532436956424f5277304b47676f414141414e5355684555674141414234414141416543415941414141374d4b3669414141414358424957584d41414173544141414c457745416d7077594141414648556c45515652346e4c5658375539615678776d3236646c582532466468627825324232253246516e626b7655627264554151674a4a496655444e574454546d4f76314651554661504a346b7573725630314a7431734e70637453327533626f745a746d786439744a5346536f714b71494635625944464c436f76436c656673747a4a387758524c445a4c7a6e6b634f343535376e3364332532466e655a3472454f515a74315771462532423858467234253242664f4c4565326a6f59307a776638546f795a50766a45676b4c592532426b306d6d72584f36644b696e787a476b30666a5430782532425279723055716e6359637a4d317263347451253242497270324c4758646f344e4334567657715453373277716c632532427231334f527269364b6458646e624f484c6c776c7a4a70524b6e3657342532424b36706f4f434e6e494166486a253246253242776168495a4234764b6e715a6630714a704e49716c2532467638545530634e6c3572627963337730516e54703379324c54614a374d314e617844723266526e315370504736476961323174664533345463614f617931694d55564f5146624659714957536f31573854694156616e43306576584f4542375770313448466232327a453566714c4f433545524c515769644e614e49347545636339693768634a6c644868324e57725135674464624f6c7061756d49754c62326174415144506e7a3062384e6257636d785656524a33486d7870536377777a4f4a6d4b44524765384c6c435a444c4739673754496e5631516c376462586256316533675430574b697243466f6d6b5079767758466c5a474a4f6a563625324253743634757564445a4f55354555636f782532464d455144567674364d62634e3237593341797a687633737061557242365a3971724a534f3139657a6a387032704c426b4a792532426343484a7857493567573574636652527a31645531394766476b6f7539505a4f34736d52396a4746777065783444793362766e6d4b79706f74625531335669646a71595a68726a343972764d457425324625324659714c7a396430304e6a57253246637a67796f394f35317a7336614e6c6f354644747530445a675146686c47584a30644241446f4e6864367576703657686f617967374e394c564748386d443462253246486e667455516f4e4734764c51306769784d716c5725324234714f6a744e48446733723166365969525347785279375576714c62395534716b716e78504f4e7661356c447048723125324279794b524e4b57425a793565644d554842326d3572792532422532424551772532427a6766347a6f39253246306f634e3357527a4c4277344a2532424a7950574372716d4967475974554f735744346f785a46516f50556a4770564871493425324661666b51504336665a5165654d31253242764c7549516e6a754257514444437363726d485039656f4e5041744271664f6e5875614b25324268364a45624772732532427076764d6d78654962683836336162565065597953456f39464a48704e4d464a59253242503563575a6b6667374f3174537759436553514c54593345385130392532464256504a556c78516a7368543142736343593032723955445542667643484236367063665041336c794165336e6772332532463437584467614a7a736c7937787741364e5a746c555550437541487161536a5549502532427375653842525741432532464e6651374a5a505a35397330476a3756747049537a34685125324243706658474d4b685a63764c70554b7866574d386f68766637702532464f446a4842666356463849736b383267314648796b63564645253242555a414158343761452532464d6c34504f3530506e75683025324678346e6d637957507364774468427836436d6b4c562532466746446a594b784f4a4f4674623077517949684c39527943774b33414f664947703159464542686e4d4a634c525745624b644b516f55366e63545a6b494544696341792532463831645675454d3552775066657934784f7830496b25324649324e6e466b692532425761664f6f464959466367595a43797864376543556a626334416d46363566742532466b4d686b336f25324235686337734d4a79716a4a45477659466151464972375930775077384246415925324236253242766d6b3377367a7a5275444d6d5a5652736668385274413075455453443775434254364459514e36697665553066706b594c6a453671725672744f78654e4b553954484c5a4a396b4255324a427342685635416976422532466f4b61514e4b675043427744596149665a4334616454684f71463457454e56694c4a77566f586f62664c424b56773637414f6154734c6336355461564b32317651344c613939654b6359673576627873624f627a5451394e37554b4467554f3177446a6944494942736868357a746733396e514d4c535a4248344f7a424f55444551586d323036643366634c67737762585141345068634b336e6873775531427a3877765130395248472532466f597933656a6677424e6d746f59714c4130586741414141424a52553545726b4a676767253344253344266c6162656c3d437265617465644174\" alt=\"create-at\" data-canonical-src=\"https://img.shields.io/github/created-at/bytedance/netcap?logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAAB4AAAAeCAYAAAA7MK6iAAAACXBIWXMAAAsTAAALEwEAmpwYAAAFHUlEQVR4nLVX7U9aVxwm26dlX%2Fdhbx%2B2%2FQnbkvUbrdUAQgJJIfUDNWDTTmOv1FQUFaPJ4kusrV01Jt1sNpctS2u3botZtmxd9tJSFSoqKqIF5bYDFLCovClefstzJ8wXRLDZLznkcO4557n3d3%2FneZ4rEOQZt1WqF%2B8XFr4%2BfOLEe2joY0zwf8ToyZPvjEgkLY%2Bk0mmrXO6dKinxzGk0fjT0x%2BRyr0UqncYczM1rc4tQ%2BIrp2LGXdo4NC4VvWqTS72wqlc%2Br13ORri6KdXdnbOHLlwlzJpRKn6W4%2BK6poOCNnIAfHj%2F%2BwahIZB4vKnqZf0qJpNIql%2Fv8TU0cNl5rbyc3w0QnTp3y2LTaJ7M1NaxDr2fRn1SpPG6Gia21tfE34TcaOay1iMUVOQFbFYqIWSo1W8TiAVanC0evXOEB7Wp14HFb22zE5fqLOC5ERLQWidNaNI4uEcc9i7hcJldHh2NWrQ5gDdbOlpaumIuLb2atAQDPnz0b8NbWcmxVVRJ3HmxpScwwzOJmKDRGe8LlCZDLG9g7TInV1Ql7dbXbV1e3gT0WKirCFomkPyvwXFlZGJOjV6%2BSt64uudDZOU5EUcox%2FMEQDVvt6MbcN27Y3Ayzhv3spaUrB6Z9qrJSO19ezj8p2pLBkJy%2BcCHJxWI5gW5tcfRRz1dU19GfGkou9PZO4smR9jGFwpex4Dy3bvnmKypotbU13VidjqYZhrj49rvMEt%2F%2FYqLz9d00NjW%2Fczgyo9O51zs6aNlo5FDtu0DZgQFhlGXJ0dBADoNhd6uvp6Whoayg7N9LVGH8mD4b%2FHnftUQoNG4vLQ0gixMqlW%2B4qOjtNHDg3r1f6YiRSGxRy7UvqLb9U4qkqnxPONva5lDpHr1%2ByyKRNKWBZy5edMUHB2m5ry%2B%2BEQw%2Bzgf4zo9%2F0ocN3WRzLBw4J%2BJyPWCrqmIgGYtUOsWD4oxZFQoPUjGpVHqI4%2FafkQPC6fZQeeM1%2BvLuIQnjuBWQDDCscrmHP9eoNPAtBqfOnXuaK%2Bh6JEbGrs%2BpvvMmxeIbh863abVPeYySEo9FJHpNMFJY%2BP5cWZkfg7O1tSwYCeSQLTY3E8Q09%2FBVPJUlxQjshT1BscCY02r9UDUBfvCHB66pcfPA3lyAe3ngr3%2F47XDgaJzsly7xwA6NZtlUUPCuAHqaSjUIP%2Bsue8BRWAC%2FNfQ7JZPZ59s0Gj7VtpISz4hQ%2BCpfXGMKhZcvLpUKxfWM8ohvf7p%2FODjHBfcVF8Isk82g1FHykcVFE%2BUZAAX47aE%2FMl4PO50Pnuh0%2Fx4nmcyWPsdwDhBx6CmkLV%2FgFDjYKxOJOFtb0wQyIhL9RyCwK3AOfIGp1YFEBhnMJcLRWEbKdKQoU6ncTZkIEDicAy%2F81dVuEM5RwPfey4xOx0Ik%2FI2NnFki%2BWafOoFIYFcgYZCyxd7eCUjbc4AmF65ft%2FkMhk3o%2B5hc7sMJyqjJEGvYFaQFIr7Y0wPw8BFAY%2B6%2Bvmk3w6zzRuDMmZVRsfh8RtA0uETSD7uCBT6DYQN6iveU0fpkYLjE6qrVrtOxeNKU9THLZJ9kBU2JBsBhV5AivB%2FoKaQNKgPCBwDYaIfZC4adThOqF4WENViLJwVoXobfLBKVw67AOaTsLc65TaVK21vQ4La99eKcYg5vbxsbObzTQ9N7UKDgUO1wDjiDIIBshh5ztg39nQMLSZBH4OzBOUDEQXm206d3fcLgswbXQA4PhcK3nhswU1Bz8wvQ09RHG%2FoYy3ejfwBNmtoYqLA0XgAAAABJRU5ErkJggg%3D%3D&amp;label=CreatedAt\" style=\"max-width: 100%;\"></a></td>\n</tr>\n</tbody>\n</table></markdown-accessiblity-table>\n<a href=\"https://github.com/opsre/awesome-ops\">\n</a><p dir=\"auto\"><a href=\"https://github.com/opsre/awesome-ops\"><img src=\"https://camo.githubusercontent.com/b964a36ea4078c39f603d46a29436371c7541a2f26e0228d7b21b9d9805b43d3/68747470733a2f2f736f6369616c6966792e6769742e63692f6f707372652f617765736f6d652d6f70732f696d6167653f6465736372697074696f6e3d3126666f6e743d42697474657226666f726b733d31266973737565733d31266c616e67756167653d31266c6f676f3d6874747073253341253246253246617661746172732e67697468756275736572636f6e74656e742e636f6d25324675253246313838353638303230266e616d653d31266f776e65723d31267061747465726e3d436972637569742b426f6172642670756c6c733d31267374617267617a6572733d31267468656d653d4c69676874\" alt=\"\" data-canonical-src=\"https://socialify.git.ci/opsre/awesome-ops/image?description=1&amp;font=Bitter&amp;forks=1&amp;issues=1&amp;language=1&amp;logo=https%3A%2F%2Favatars.githubusercontent.com%2Fu%2F188568020&amp;name=1&amp;owner=1&amp;pattern=Circuit+Board&amp;pulls=1&amp;stargazers=1&amp;theme=Light\" style=\"max-width: 100%;\"></a></p>\n<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/a15b413168923d02e21292705ceaf86b92675f98e250c5c896a02ba7504a6eae/68747470733a2f2f63646e2e6a7364656c6976722e6e65742f67682f657279616a662f7475406d61696e2f696d672f696d6167655f32303234303432305f3231343430382e676966\"><img src=\"https://camo.githubusercontent.com/a15b413168923d02e21292705ceaf86b92675f98e250c5c896a02ba7504a6eae/68747470733a2f2f63646e2e6a7364656c6976722e6e65742f67682f657279616a662f7475406d61696e2f696d672f696d6167655f32303234303432305f3231343430382e676966\" width=\"100%\" height=\"3\" data-animated-image=\"\" data-canonical-src=\"https://cdn.jsdelivr.net/gh/eryajf/tu@main/img/image_20240420_214408.gif\" style=\"max-width: 100%; height: auto; max-height: 3px;\"></a>\n</div>\n<h1 dir=\"auto\">netcap</h1>\n<h2 dir=\"auto\">简介</h2>\n<p dir=\"auto\">netcap(内部称为xcap)是一个基于bcc，可对含skb作为参数的系统函数，或者基于DPDK的mbuf抓包分析的工具。简单试用如下：</p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"netcap skb -f icmp_rcv@1 -e &quot;host 10.227.0.72&quot; -i eth0\"><pre class=\"notranslate\">netcap skb -f icmp_rcv@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>host 10.227.0.72<span class=\"pl-pds\">\"</span></span> -i eth0</pre></div>\n<h2 dir=\"auto\">安装依赖</h2>\n<p dir=\"auto\">netcap工具依赖安装<code class=\"notranslate\">bcc</code>包。</p>\n<h2 dir=\"auto\">命令行参数说明</h2>\n<p dir=\"auto\">可以通过netcap的help获取用法资料以及example如下:</p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 查看 skb 模式支持的参数\nnetcap help skb\n# 查看 mbuf 模式支持的参数\nnetcap help mbuf\"><pre class=\"notranslate\"><span class=\"pl-c\"><span class=\"pl-c\">#</span> 查看 skb 模式支持的参数</span>\nnetcap <span class=\"pl-c1\">help</span> skb\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> 查看 mbuf 模式支持的参数</span>\nnetcap <span class=\"pl-c1\">help</span> mbuf</pre></div>\n<p dir=\"auto\">本质上，命令行参数分为以下3类:</p>\n<ul dir=\"auto\">\n<li>skb模式与mbuf模式通用的</li>\n<li>仅skb模式的</li>\n<li>仅mbuf/raw模式的</li>\n</ul>\n<h3 dir=\"auto\">通用命令行参数</h3>\n<ul dir=\"auto\">\n<li>\n<p dir=\"auto\">-f  function_name&lt;<a class=\"user-mention notranslate\" data-hovercard-type=\"user\" data-hovercard-url=\"/users/param1/hovercard\" data-octo-click=\"hovercard-link-click\" data-octo-dimensions=\"link_type:self\" href=\"https://github.com/param1\">@param1</a>&gt;&lt;<a class=\"user-mention notranslate\" data-hovercard-type=\"user\" data-hovercard-url=\"/users/Param2/hovercard\" data-octo-click=\"hovercard-link-click\" data-octo-dimensions=\"link_type:self\" href=\"https://github.com/Param2\">@Param2</a>&gt;</p>\n<p dir=\"auto\">设置需要trace的函数格式, function_name表示要trace的函数名称，并可支持多点抓包，用逗号分隔，例如 <code class=\"notranslate\">ip_local_deliver@1,icmp_rcv@1</code>。</p>\n<p dir=\"auto\">对于skb模式，支持:</p>\n<ul dir=\"auto\">\n<li>-f tracepoint:net:netif_receive_skb  是tracepoint的方式，此时无需param1和param2。</li>\n<li>-f icmp_rcv@1  是kprbe的方式，需要param1，表示skb是被trace函数的第几个参数（从1开始），无需param2。</li>\n<li>-f tcp_rcv_established@2@1 这里<a class=\"user-mention notranslate\" data-hovercard-type=\"user\" data-hovercard-url=\"/users/2/hovercard\" data-octo-click=\"hovercard-link-click\" data-octo-dimensions=\"link_type:self\" href=\"https://github.com/2\">@2</a>表示第2个参数是skb，后面的<a class=\"user-mention notranslate\" data-hovercard-type=\"user\" data-hovercard-url=\"/users/1/hovercard\" data-octo-click=\"hovercard-link-click\" data-octo-dimensions=\"link_type:self\" href=\"https://github.com/1\">@1</a>是ext扩展参数,关于此参数详见 --ext-action 描述。</li>\n</ul>\n<p dir=\"auto\">对于mbuf模式, 由于DPDK会使用mbuf数组，故使用param2的时候表示是mbuf数组，仅仅使用param1的时候是mbuf：</p>\n<ul dir=\"auto\">\n<li>-f usdt:rx_one@1  是usdt的方式的，并且rx_one的usdt第一个参数param1是mbuf指针。</li>\n<li>-f usdt:rx_array@1@2  是usdt的方式的，并且rx_array的usdt第一个参数param1是mbuf指针的数组，第二个参数param2是前面说的数组的大小。</li>\n<li>-f func@1  是uprobe的trace,此处表示mbuf。</li>\n<li>-f func_array@1@2  是uprobe的trace，此处表示mbuf数组。</li>\n</ul>\n<p dir=\"auto\">Note: -f 参数较为复杂，可以结合后面的Example理解。</p>\n</li>\n<li>\n<p dir=\"auto\">-e  expression</p>\n<p dir=\"auto\">设置需要过滤数据包的表达式，此表达式基于tcpdump的语法。</p>\n</li>\n<li>\n<p dir=\"auto\">-t  tcpdump-flags</p>\n<p dir=\"auto\">设置tcpdump的flags, 例如想以 -nnve 的tcpdump方式查看数据包，即可输入 -t \"-nnve\"。</p>\n</li>\n<li>\n<p dir=\"auto\">-w  file</p>\n<p dir=\"auto\">--write-file-rotate  rotate-num</p>\n<p dir=\"auto\">抓包写文件，同tcpdump，通过 --write-file-rotate 指定的 rotate-num  表示循环抓包，即抓最后的rotate-num个包，写入pcap文件。</p>\n</li>\n<li>\n<p dir=\"auto\">-c  capture-count</p>\n<p dir=\"auto\">抓多少个包后退出，设置为0或不设置表示不限制次数，同tcpdump。</p>\n</li>\n<li>\n<p dir=\"auto\">--capture-max-size  max</p>\n<p dir=\"auto\">这个size是指抓的包，保存到buff的大小，如果包长超过这个值，则包会被截断。</p>\n</li>\n<li>\n<p dir=\"auto\">--gather</p>\n<p dir=\"auto\">汇总输出用法，此参数为开关参数，打开此开关忽略 -w 参数。</p>\n<p dir=\"auto\">gather功能仅在多点trace下使用，并以第一个被trace的点为基准值，跟踪数据包到达后续trace点的延迟信息。</p>\n<p dir=\"auto\">gather功能它持有的子参数如下：</p>\n<ul dir=\"auto\">\n<li>--gather-buffer-size  size : 设置buff的大小。</li>\n<li>--gather-timeout  timeout : 超时时间。</li>\n<li>--gather-distinguish-by-pointer : 以指针(skb或mbuf)来标识同一个数据包，否则以包内容。</li>\n<li>--gather-output-color : 设置打印gather的颜色: red|green|yellow|blue|purple|cyan。</li>\n</ul>\n<p dir=\"auto\">此功能较为复杂，可参照Example理解。</p>\n</li>\n<li>\n<p dir=\"auto\">--ext-filter  filename.c</p>\n<p dir=\"auto\">用户自定义filter，<a href=\"doc/example/ext_filter/skb_filter_tcp_fin.c\">只看TCP的FIN包的自定义filter例子</a></p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"netcap skb -f tcp_drop@2 -e 'port 8888' -t &quot;-nnv&quot;  --ext-filter skb_filter_tcp_fin.c\"><pre class=\"notranslate\">netcap skb -f tcp_drop@2 -e <span class=\"pl-s\"><span class=\"pl-pds\">'</span>port 8888<span class=\"pl-pds\">'</span></span> -t <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>-nnv<span class=\"pl-pds\">\"</span></span>  --ext-filter skb_filter_tcp_fin.c</pre></div>\n</li>\n<li>\n<p dir=\"auto\">--ext-action  filename.c</p>\n<p dir=\"auto\">用户自定义的匹配后的action，在action中netcap会把user填充的自定义的结构体的信息与pkt一起输出到控制台。<a href=\"doc/example/ext_action/sk_stat_action.c\">输出sock信息的例子</a></p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 其中 tcp_rcv_established @2表示第2个参数为skb, @1表示第1个参数sk作为ext传入到 --ext-action指定的函数\nnetcap skb -f tcp_rcv_established@2@1 -e &quot;port 8888&quot;  --ext-action sk_stat_action.c\"><pre class=\"notranslate\"><span class=\"pl-c\"><span class=\"pl-c\">#</span> 其中 tcp_rcv_established @2表示第2个参数为skb, @1表示第1个参数sk作为ext传入到 --ext-action指定的函数</span>\nnetcap skb -f tcp_rcv_established@2@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>port 8888<span class=\"pl-pds\">\"</span></span>  --ext-action sk_stat_action.c</pre></div>\n<p dir=\"auto\">输出如下图所示：<br>\n<a target=\"_blank\" rel=\"noopener noreferrer\" href=\"doc/jpg/ext-action.jpg\"><img src=\"doc/jpg/ext-action.jpg\" alt=\"\" style=\"max-width: 100%;\"></a></p>\n<ul dir=\"auto\">\n<li>--ext-output-color : 设置打印user Ouput的颜色: red|green|yellow|blue|purple|cyan。</li>\n</ul>\n</li>\n<li>\n<p dir=\"auto\">--dry-run</p>\n<p dir=\"auto\">并不真正执行,只是打印出生成的ebpf代码。</p>\n</li>\n</ul>\n<h3 dir=\"auto\">skb模式的参数</h3>\n<ul dir=\"auto\">\n<li>\n<p dir=\"auto\">-i  interface</p>\n<p dir=\"auto\">例如 -i eth0, 同tcpdump</p>\n</li>\n<li>\n<p dir=\"auto\">--fake-hdr</p>\n<p dir=\"auto\">在某些TX方向函数(例如 __ip_finish_output)，内核还没有给它填充eth,ip等头信息,使用此选项可以由netcap根据skb的sock信息伪造出header来适配tcpdump过滤语法。</p>\n</li>\n<li>\n<p dir=\"auto\">--skb-data</p>\n<p dir=\"auto\">不设置此参数表示使用 netcap 的默认策略来寻找packet开始地址，若设置此标志，则使用 skb-&gt;data + offset 作为数据包的开始。其中的offset由 --skb-data-offset 设置。需要设置此参数的场景：某些特殊的函数行为，导致默认策略找到的地址错误。</p>\n</li>\n<li>\n<p dir=\"auto\">-S</p>\n<p dir=\"auto\">开关参数，设置后，伴随pcap打印此包对应的kstack，并忽略 --gather 和 -w 参数。</p>\n<ul dir=\"auto\">\n<li>--stack-dump-color : 设置打印kstack的颜色: red|green|yellow|blue|purple|cyan。</li>\n</ul>\n</li>\n</ul>\n<h3 dir=\"auto\">mbuf/raw模式的参数</h3>\n<p dir=\"auto\">注：mbuf用于DPDK开发，raw用于AFXDP开发。<br>\n注：usdt受限于上游库修改，用兴趣的可以自行魔改。</p>\n<ul dir=\"auto\">\n<li>\n<p dir=\"auto\">-p  pid</p>\n<p dir=\"auto\">设置要trace的DPDK程序的pid。</p>\n</li>\n</ul>\n<h2 dir=\"auto\">Examle</h2>\n<h3 dir=\"auto\">skb的常规用法</h3>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 在icmp_rcv抓包，并指定eth0为收包网卡，并按tcpdump语法过滤\nnetcap skb -f icmp_rcv@1 -e &quot;host 10.227.0.72&quot; -i eth0 -t &quot;-nnv&quot;\n\n# 把抓到的包写入文件icmp.pcap\nnetcap skb -f icmp_rcv@1 -e &quot;host 10.227.0.72&quot; -i eth0 -w icmp.pcap\n\n# 打印kstack\nnetcap skb -f icmp_rcv@1 -e &quot;host 10.227.0.72&quot; -i eth0 -S\n\n# 在tracepoint抓包，注意:tracepoint不需要使用@传递skb是第几个参数\nnetcap skb -f tracepoint:net:netif_receive_skb@1 -i eth0 -e &quot;host 10.227.0.72&quot;\"><pre class=\"notranslate\"><span class=\"pl-c\"><span class=\"pl-c\">#</span> 在icmp_rcv抓包，并指定eth0为收包网卡，并按tcpdump语法过滤</span>\nnetcap skb -f icmp_rcv@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>host 10.227.0.72<span class=\"pl-pds\">\"</span></span> -i eth0 -t <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>-nnv<span class=\"pl-pds\">\"</span></span>\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> 把抓到的包写入文件icmp.pcap</span>\nnetcap skb -f icmp_rcv@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>host 10.227.0.72<span class=\"pl-pds\">\"</span></span> -i eth0 -w icmp.pcap\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> 打印kstack</span>\nnetcap skb -f icmp_rcv@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>host 10.227.0.72<span class=\"pl-pds\">\"</span></span> -i eth0 -S\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> 在tracepoint抓包，注意:tracepoint不需要使用@传递skb是第几个参数</span>\nnetcap skb -f tracepoint:net:netif_receive_skb@1 -i eth0 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>host 10.227.0.72<span class=\"pl-pds\">\"</span></span></pre></div>\n<h3 dir=\"auto\">mbuf的常规用法</h3>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 在pid为1111的DPDK进程中，对于you_func函数(uprobe)抓包，其中mbuf指针作为此函数的第一个参数\nnetcap mbuf -f you_func@1 -e &quot;tcp and port 80&quot; -t &quot;-nnve&quot; --pid 1111\n\n# 在pid为1111的DPDK进程中，对于对于you_func函数函数(uprobe)抓包，其中vec_func传递的是mbuf指针数组,故需2个参数\nnetcap mbuf -f vec_func@1@2 -e &quot;tcp and port 80&quot; -t &quot;-nnve&quot; --pid 1111\n\n# 在多个函数同时抓包\nnetcap mbuf -f func_rcv@1,func_send@1 -e &quot;tcp&quot; --pid 111\"><pre class=\"notranslate\"><span class=\"pl-c\"><span class=\"pl-c\">#</span> 在pid为1111的DPDK进程中，对于you_func函数(uprobe)抓包，其中mbuf指针作为此函数的第一个参数</span>\nnetcap mbuf -f you_func@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>tcp and port 80<span class=\"pl-pds\">\"</span></span> -t <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>-nnve<span class=\"pl-pds\">\"</span></span> --pid 1111\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> 在pid为1111的DPDK进程中，对于对于you_func函数函数(uprobe)抓包，其中vec_func传递的是mbuf指针数组,故需2个参数</span>\nnetcap mbuf -f vec_func@1@2 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>tcp and port 80<span class=\"pl-pds\">\"</span></span> -t <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>-nnve<span class=\"pl-pds\">\"</span></span> --pid 1111\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> 在多个函数同时抓包</span>\nnetcap mbuf -f func_rcv@1,func_send@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>tcp<span class=\"pl-pds\">\"</span></span> --pid 111</pre></div>\n<h3 dir=\"auto\">gather用法</h3>\n<p dir=\"auto\">gather只能针对trace多个函数（即 -f 后面要用多个函数），并把第一个作为基准。举例如下：</p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 使用gather统计以下函数，并用cyan的颜色输出信息\nnetcap skb -f tracepoint:net:netif_receive_skb,ip_local_deliver@1,ip_local_deliver_finish@3,icmp_rcv@1 -e &quot;host 10.227.0.72 and icmp&quot; -i eth0  --gather --gather-output-color cyan \"><pre class=\"notranslate\"><span class=\"pl-c\"><span class=\"pl-c\">#</span> 使用gather统计以下函数，并用cyan的颜色输出信息</span>\nnetcap skb -f tracepoint:net:netif_receive_skb,ip_local_deliver@1,ip_local_deliver_finish@3,icmp_rcv@1 -e <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>host 10.227.0.72 and icmp<span class=\"pl-pds\">\"</span></span> -i eth0  --gather --gather-output-color cyan </pre></div>\n<p dir=\"auto\"><a target=\"_blank\" rel=\"noopener noreferrer\" href=\"doc/jpg/x_gather.jpeg\"><img src=\"doc/jpg/x_gather.jpeg\" alt=\"\" style=\"max-width: 100%;\"></a></p>","updatedAt":"2025-05-21T16:12:48Z","upvoteCount":null,"author":{"login":"eryajf","avatarUrl":"https://avatars.githubusercontent.com/u/33259379?u=e4a4090a38ac2473aaed4ef9945233636776c6c3&v=4","url":"https://github.com/eryajf"},"category":null,"labels":{"edges":[{"node":{"name":"更多","color":"25B472"}},{"node":{"name":"抓包工具","color":"9fb26a"}},{"node":{"name":"bytedance","color":"883a7e"}}]},"comments":{"edges":[]}}},"pageContext":{"number":390,"previous":{"title":"Abdenasser/neohtop: 基于 Svelte、Rust 和 Tauri 构建的现代跨平台系统监视器。","number":389},"next":{"title":"gravitl/netmaker: Netmaker使用WireGuard构建网络。Netmaker自动化了快速、安全和分布式的虚拟网络","number":391}}},
    "staticQueryHashes": ["151096407","2861350382"]}