前两篇文章分表讲述了 后置处理器 - 正则表达式提取器概述及简单实例、多参数获取，相应博文敬请参阅 简单实例、多参数获取。

此文主要讲述如何引用正则表达式提取器获取的数据信息。其实，正则表达式提取器获取的数据，均可看做一个变量（单个数据，此处指所需获取的测试相关数据）或数组（多个数据），通过引用变量或者数组的数据，达到应用其数据的目的。下面针对此两种方式进行介绍。

第一种：单数据变量

但数据变量的应用比较简单，同我们日常 shell 脚本引用变量相同，引用样式：${引用名称}。例如要引用下图中的变量，引用方式为：${price}。

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第二种：多数据变量（数组）

多数据变量（数组）的提取器配置如下图所示：

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h9rhvpZ0x+jdmex+ub3pz8Ivn13M2eKbTZaDjBwtC/5xMsN3pb6Hm4Dd9helbaHO3/1gt8HJFzPdzKqXvfByJ/LlevjsKJN3EHUb+qP14eDn+BO2xw/vDVcn/+WC+8fHI79taf1wDnumru/9f//J9smYhllY+bruu64Dtu2odjh5HCaCAu1+D00GDl+yKCFSWdyK2x0PNj1fz3+eQ2Z5gWLJLt7V3tmdyGNHKCZQLVaZ2ZQdR83Bz16ZL7P+7+pk/duz4Qp85Fobt8deR3wnDg3vIVqnfz370INzh3+Aq5v3asF18+yY699ec1wLlu8P/t+pf/+GMoP/7/Jbnwo3kHbrFnnGCrrXLWr1qONrL/7+Wi3v2BuDNyP7ABV839YVMb+Ry6l4hwf263Z5xgiw2/VloSNo9+/P6/g4vagbhDcj+wATfI/QDws8j9wAbI/QAwQe4HNkDuB4AJcj+wAXI/AEyQ+4ENkPsBYILcD2yA3A8AEw6fgOG3JCmKovzEIvcDwIRbj9MBrOPwnib3AwDA9sn9AACwfavlfkVRFEVRFEVR7rmskPsBAIAfR+4HAIDtk/sBAGD75H4AANg+uR8AALbv2rm/67qu60o/TtY/s7VVVrqgTjc22UMAAFjXCrm/axBVLv04q7XSsi29bdyoxXVKXZX7AQC4iZXH+8OAW68wWTkK+pO3B+nEbCP1u4iKljpd4Z4kamH5/gUAgEXWyf3tUTiK0eGstMHsi3SRSoPRrNJasn0obWbL3PqWiv4AAFzZmrm/z+XsSqCvtJCN41GSroTpxtzf524Vst1evEMAAOAeXG+8vy9k+uwQeGNT2dfhi2zuj+4f0kb63J1De9+iOvUtBQCAK5id+//53/97KOnceq5tz76lJJ1tKnsPUM/90b9pzbSF9q6WeputHO5PRVEURVEURVmlpKl1Se7PZty6vhD6o5A92WY2WK+e+7MtZJXmVrpRaQ0AAM53qdw/qETzdGKU+LO5v7Hx0or68f1DOrGv5v6wnbBOXVSztNUAAHAhl839paSbrdbnRsSzrWVTdT+V+xvX0k/l/tJWtGxjqUsAAHBRFx/v7xue4M8m8gWBuHJLUGmzUm1BUm/ZzOhH0R8AgEu70vP96cS0crpUfXqpWtRmXxhrT6tFNVvWXtrk7F5KG5zsHgAArOIa4/0AAMBtyf0AALB9cj8AAGyf3A8AANsn9wMAwPbJ/QAAsH1yPwAAbJ/cDwAA2yf3AwDA9sn9AACwfXI/AABsn9wPAADbJ/cDAMD2yf0AALB9cj8AAGyf3A8AANsn9wMAwPbJ/Vt2OILtx7Hv+67ruq5rrDBZudGCfnIhjsVPNOuozbqEZ13j3hC24c73/zndO/+EHyqELyo1I3M7PLjhVl/uHYObkPu36XDs/uuP/xtK+9Fc8S1g5X5+vDyM30MfXj5a1vL21HXd01tbxZZ6d+i0jUs34s6Oxari3t7lQf54eZjfrwVXenTZZq/ibGQpZZfoPWHuJizfnKUn4ZrSo/bx8hD0ZPzTbFe+Xhbs/8yWFo/LuVtzzuda3/yB1fgJmL7okwtnwdpTN9/q1d8xuC25f4N+/fb7H//792w5c/ym5fq/YD+XfqA2ftp8vDzcaSJsEGzj29P8oHFvx2Jlo/4dUsm9HeglO2bBlR6FldIndOnSnpz+I94Q1pM7aj8296+2/4t74Kytmdu96KyePNtbYmvLNZJWm6x/z1tdb2py65ZtNRcl92/Qr99+/9vf//G3v/8jvDgPU+ppoH5h91NvAYv7mZaWj5nRh8hphOk0/zjt6em7Yrh8Go6j5Jx8Uh2Wfnp6KKwmPy38mAumjj8UxxMPa5+3omEb4x3zM49FbreU9mp1kWW9zRyp7CkxPlLdw8vby0PcVtp+5kTKnRkNZh+1mYN/JZXWWhpfbXMWnoTB1ZI9rFOLd+E7QnrUKrl/qtnkVB9d17nFDxvw8HCcWL9GLrr/S7k/vmDOyP2zujecnF3ujjQ8dRsvitJSleti2VpCN9/qWdVKWraUq5H7t+bXb79/fX19fX2l195h+uQxLV2olXe3c/pZkunn+OMkzulBOB9/9rw9HT8ETyP66QdQONpfzv3BZ2u0vmwnCrliePnx8jAKlqe+hXlw6Hp5RadtPLY1Iz/e5bFIdkt+r1YXKfQ27k/5SJ5elnP/KLlHG1Q+avGJND8SLThq4SVc/3iuvwmUptzBG0KcO+PdHhy34mFddlEXepVNw+NmK6d6cF1XTtDxjUHxGrnw/i/l/onddbHuhad6n7sjzZ63lXO4dPlkV1pfy0/Z6ku8Y3Bzcv/WZAf7D+oDgYPJN77w9eKrujKMUexn4bHRdETt4eUjHk8OPjuPo83jz5/wI6k5DYxWPZ5aaz9y+OweNij8xM5tztBUfhvr6/oRxyK7W7J7tb7IuLfBpO9eZHub33uV8f7kAAwtVU6P8h1GqyVH7cKjd4vfDRZuTnISRvu/76OLJfmNWO6wzrioy7k/vTjyzQbNZGtO9CpqqOUaWXv/l3J/elzOzP1zuzecjdG/0fQ+OW/DCl358y57tqdXSnwuzLlAbr7Vpc1MpZu5bJO5Arl/a4bHAdNrr/ER/8qFmn0v6xf9cr/y2GKxn7lfH8eZOBfpgmT5/TL929c0FjTn/pHw4/roVDP+yAs+p0/rzEX47IoK2zh7rO/ejkV+t+T26vQi2d5m76bGu3q93J+cHuvl/tlHrflRvdKbQDg920KpwYtsTuH3XZMXS0PuT45anz39Zoz3V06GqC/Z66XQq6QDlWvkgvt//FPp95Dn5f653RvOwPq/ac1+HJezbWbn9uX0XFnkzrc62qLI5KbN3WSuQO7fmuEP/9NLdPgqgHSp7CVdubajN4gF13b0BQVpmc6a1VHb0lj4YfrDQxQM1xjvzzmFyKmEkE+T+YRaXTz+Ydq9HYvidqV7tXGRXO6PfmFy8fH+XGfOzP2zj9olR+/O/IA/9yTMPxETCB9+ax/vz4mfGJqR+5su4enx/vFWZU+b/O1r2aLTKdynwS194bicmfvndi/9tMr+2+c+yEqfa+GU7Ak/+Zk46xq5h62+3DsGtyL3b9Cv337/81/++ue//DW88A5TWg7o5Ed76Y1v7uU99DMt7X/Gdxoza3imfFiqnsZmPF8bTIwWysf5cTCMA0S4zmgjsiuqbWP7cP/dHYvKbilF+/wihd5Gh6/2+HQmtQWbMJX7p47aWbl/yVFrHr1Ll5rsTNjyrK1YvjnpfdvUbo8f2Zm60mdc1PleTZwM+fO2vVdRB6rXyPr7f3Rzke/f6LickfsXdC86saPTvq8m4GF6ts3sj12SobPX19yr4+ZbPblFWXM3k2uS+zfo12+//+t//k+2rJL7w9eT1/+a/Ux/1R0/2Nolo7pdF30nRvEhmHTEfLxs6cM2+MV67oHdTIeCqqdJ8XeMpN/nk1tRdhsXfLre2bHI7ZbSXq0vku9tMDPX29yRyp0Sk7m/zx21wok0tD/r2Yy5V/phHX01wfRJiC8tlV28VGf9zcndfIa3UfEOzRzC7LQZF3XmqJVyf77Z/Hmbv14yi9ee85l367/wgyN8rmi0TbnjMnoIaW4P53YvPYfTCmnN+mmcTkzXEsr2qn2T72Grs9UqP3Zt7xjckNy/TYdj9y//8cdQ2o9m5UKtX/lX7udS1d+Mz/2ovISZT+cnFm7HXR0LGs09atHncSmmRJ/i4fRoYjbiLH5nuNJJ6LwruMWbwAxnfq5FP7aE3bSRbJJOY26lZktvQ7fd6tXfMbg5uX/LfrX9n72z13P28i5d6tfp5/mGUbTCJ37mT0xv4Mzcf95G3M2xYIb2o1bKJaXLPPtWEOWA+oouujkLyf1VV3sTWGZB97Jne5dL6pWPv7SdyenZNS5zq61OF0kbT19H7Zyz4axO7gcAgO2T+wEAYPvkfgAA2D65HwAAtk/uBwCA7ZP7AQBg++R+AADYPrkfAAC2T+4HAIDtk/sBAGD75H4AANg+uR8AALZP7gcAgO2T+wEAYPtWy/2KoiiKoiiKotxzWSH3AwAAP47cDwAA2yf378jhKCuKoiiKoih7KFEUlPt35Ndvv38BALADfd8f/h3I/Tsi9wMA7MQh+IVRcJ3c33Vd13UXXXyoc+a69kzuBwDYiXNzf5cIp1eqpYukzU6ucbIydXI/AMBOrDneP5n7J6uFE+u3B2kj9RsJsuR+AICduLvcX7kTyE6prIhJF8j9n6+P3fP76b+Val3XPb5+rt0BAAAy7us5nzDNpxMn1xgtGFZuSsH7c7PcP3FXAADAytbJ/ZPT28f7o+mN7fdJ4g+ryf0lQe5/fz7sqcfn58dhFP44cZTRqxMfn5+j3P/5+vj4+jpaZmjhsKJsgwAArOmuc38pr0eD/em/NBpy//vz8ZGb9+cueJm8apjYJbk/bTEY7882CADAuu7rOZ/GmlHoj3K/6N/umPvfn09j7Z+vj8Mw/DBxiOSTE5PnfMJHejITsw0CALCyO/q73srNQJ88+dOY+0utcfCd+4eoH/4wegS/feIxyDfm/myDAACs7Y5yf7ZyaWIU93u5fxHj/QAAO3G/uT8r22CpHSZd6/n+Su73fD8AwDWskPsnc3kplJcG42eN91faYVLm+3yeX1+XfJ/P9/fx57/Pp5r7fZ8PAMAVrDnez4+T+f5+36wPALBFcv+uHXP/cbS+6/wvdAEANknu37UL/P96AQC4R3L/rsn9AAA7IffvmtwPALATcv+uHQ7x4VgriqIoiqIo2y5y/67d+s4TAIDrCXOg3L8jN7/pVBRFURRFUa5Woigo9+/IL8/3AwDsQ9/3X8b7d0vuBwDYiV83f77/8D+Lap+enVWpnK3WUnkP5H4AgJ04N/d3VfU6YSOlluvrbaycVmusv3lyPwDATqw53t8+ch+Nu0/eIUzG9Lm5nwO5HwBgJ66a+7Mv+kXj/VG19A6hfgvhBuDg3Nz/+frYdc/v0ZTRhKj64+vn4d/KxO/X789d13XfUw8/DD/me9J13bE73z9/d+Xw02hOMLfWzmHFx7VGXc9MKG95tNLWJRtV93ul+ujFyNDavKPWtOrirrjDdU21P2+v/6StA2Bz7i73T2b0ysQze7jDO4FVcv8oP5+f+4dX789hbD+F9kzz789hqj+2PjQQrPH9OQzx8W3EaW44s5jJWgPUqXthu6vGr1Vyf9jAaJfOOGoTJnbF3a1rVdveOgDu3wq5P03zkxUquT9dqr7SlsrRgqXWdp37j+Pp4Th3PIiY1PkOi6eqUXwcFjhOeX9+fj/+O9QMJ4brzb3K59tRkDll90zuD7sa/5S2kx2az3Yrkqwmu/zp5ftz9/z6PXob3m08P59+T5HszHDi4/PzYb+E+yd/LB5fP09NlXP/6LjPOGpn7opxs0O9G61r4riU93A0ZdH5f/k9CcDerJ/7Q9kKfSH3p4uXGuzHQT9qLaoTLd7tL9xXHHN/bmj9/XnIyo+vn/Xh99y8cQBvHWDMpeJCrD9pz/3xumaP93+Fwao4wl6Zlb23CB4mGoZxP0fPUGV35mhiV8n9yVGZHu/P7p+SFXfFva2relwqezjYfXN+F3PNrQNgd+50vD+b9bNtTnYgvWFo2aidCHJ/mvCGvD8En1zgju4Swim51DohDDDhaHg990fP+cS5v/Q7gmyfcn9IMF7ndx+zNxOnX4l0aTOH2elzF6NnNoZp8VhyujNzv2fJ5v7sWP507m9+HmTNXXFP65o8Lq13Tc1R/KpbB8Du3Cb398lIf0v9LjfeX5pemlK5N9jhLcHpOZ/P4W8Eo0fZh2H/XJ0g7pzScCYJzQlaaVjKDefHzxwd+/b4+h4+1FNJUpkORX8cEP3dQhQAa/cy2ZxXSdbxnU31iZ3sjUF1qXQfrDvev+auuKd1tR+XTItRWr+/PQnA/lwj94c1+8LoftRal4zQV+4NstPrUyZXuhOZv+sNksfn6+Pz83MmQ+SfYPh8fXx8fb/AeH/Y1PQzE+li46pr1wwAAAoLSURBVGXGz8+Utr3wPE3Qx1q8ykW0XM9zuf9uxvvbH/NZc1fc07omj8vEXdP8x22uunUA7M6Vcn/7yH0YwUvNlkJ/ZdVRs/tM+anv3B+Nso8G+HPZt/Tk8ufo631We74/6Ech9o+fy6/8gUAl9KfbG/0qI+7iCs9Rj57vjx5qSobzm57vj3ZF+vT54eV07o9+39G2HWdY4/n+S6yrelyyz/cfX557/i/l+X4ASs7K/V2Dfiq4l+am9wZpa5MrLeV7uf9gGO8PHkoIM0PwdEu2ThLDx7n6Pf4+k6+oaj7Cp6P8+cfuo8WSCmnuPz2pFG5JdK+QNDTO/bkOtvzlZv5RkFOoPHxHTPYZqnHPogN0WOj4fT7BNj6+vj5njkW4J6Lv80n2THYr6kft3F1xV+uaOi7x72SiMyd3Ut7R1gGwO2t+fz8/zsT3949i/7UMUebsccv8Hwjka9bWFC4+auq8JyqCpWcMCN+p1XbFSP64XG9dtzgu19yTAOyM3L9rldz/GXwxzpWd/nC2MsA/3UYwaP09ul1+vue1GIreV/n/9WY7mP1bgh9rpV0xnlE4Ltda122OyzX3JAC7Ivfv2rn/v14AAH4IuX/X5H4AgJ2Q+3dN7gcA2Am5f9cOh/hwrBVFURRFUZRtF7l/12595wkAwPWEOVDu35Gb33QqiqIoiqIoVytRFJT7d+SX5/sBAPah7/sv4/27JfcDAOzEr/Of7z/8n+ij18OUtE46PTuLK5D7AQB2Ys3c3+VM1lkzxjKT3A8AsBM3GO+X9e+H3A8AsBNn5f505L4y2F+6JeCGTrn//Xk4Rs/v43Pk8/UxnFapWZp7mnhWO5+vj8GpdJxcbwcAgK+vr0uM96cT0zqpqKZ7g+v4zv2fr4/d4+vn5+vz6+fX+3MmnR+nVGqW5ga3DaeXC9r5SutNtQMAwNG5ub8ytJ+d2B/vDcIf5f5bOeX+x9fPr0N6Pnl/7rru8fU9GO8v1PxqmfsVBP8l7XxPnbdGAAC+vr5WzP3d+BmebO7vc3Ffyr+h43M+789d9/xeTuGncfRqzYm5YUsL2gke6Bk/5VNZIwAAB6s9359Oac/9q0ZZZgj/rneI1fGgevR8f6VmZe73s/mP2SDf1M73Iz1Dc6eF6u0AAPC1+vP96Y/RxMncH90zcFHj7/MZnpIfx/wk9xdrTs99fx6F88XtRM/y19sBAOBG398fTUxbk/uv4zv3f4fo76dlomw+yv31mvW5YZXrtAMAwNG1v79/sibXFDzfH34rzjg8x8/3l2tm545qDT+c2c7n6+OhS/V2AAD4tv54fzix/mP6mis7PecTfDf+xPf3pzU/x1/4k7QTTAty+eXaAQAgsULu5+fKPd/fIv3GzzBy374dAAAicv+ujXP/Yp+vr6uMtK/VDgAAMbl/11bK/QAA3Du5f9fkfgCAnZD7d03uBwDYCbl/1w6H+HCsFUVRFEVRlG0XuX/Xbn3nCQDA9YQ5UO7fkZvfdCqKoiiKoihXK1EUlPt35Jfn+wEA9qHv+y/j/bsl9wMA7MSv+3y+v+u67Ou0WmXuKt04tB++mNuZLtBYeYWut5H7AQB24tzc302p1Alnha31x3g9GbX7+UE5U//j5eG7Fw8vH/nK6Yv2nqQbld0V2TWmFZZtdYncDwCwE+vk/uyLSs3s9Ghi9nXfcKdRCcS5uW9PXdc9vX2/CpJ/WLm+UfVupBte6WS04OSqS1vaSO4HANiJa+T+9licrZP9cbI/rXNPsT8O/vVOtq+6tIuy+yHa0pZmz3HK/e/PxzU/v6enyTlzAQC4A9fL/X3h6Z2ofpqGoxeL5YNynPu/X0f5ezLup7JblCb70r7qp3J/fVa66qzv3P/5+niM7MHLo3PmAgBwH26c+9OUn0bnbnyfkK05GXCzHeuPz/ZHuT/bh3rjlTrZvmX7HE0s7c/JNdZXHco851MP7+fMBQDgdi6Y+6MXabjvx2k+u2BfyP2lbsyuUxjvj+pnl+0alPZDNtNXllq81XVp7hf7AQA2ac3cn04pJdds7g/npj9WAm5j/G3L/RPP99cbr9we9MltTFS/frdwzoZXjHL/5+tj13Xd4+tn7kw5Zy4AALe2fu7vCxE2VVkqG39L1bIL1nsbaPo+nz65DSjthC65VYg2oUvSf72p0hbVtzTaV6UKue/zeX+uxfdz5gIAcDOrfX//ZJ3slGym7wsBurHxWT3p++L39092O5wYTUk3KrpnWJD7SzUnt3dm7v96f649rXPOXAAAbmW18f6W9Bnpc8/wpCk5m3pndWBZ/WzNqPOlzUm3qHHt6fZm98DcrS75zv2jYfpkzP6cuQAA3Ifr/f9606X6Qozuq/E3u+qluXd601qmp90obUuXu2EoLVifuIphvP/7+fyuOz2jH31B56y5AADcmXNzPz9a/f/X+/5ce2anPhcAgLsi9+9aNfd/vr5Wgn19LgAA90Xu37X6eD8AAJsh9++a3A8AsBNy/67J/QAAOyH379rhEB+OtaIoiqIoirLtIvfv2q3vPAEAuJ4wB8r9O3Lzm05FURRFURTlaiWKgnL/jvzyfD8AwD70ff9lvH+35H4AgJ34debz/V3XdV1XnzK5SGnuZFOcSe4HANiJdXL/oC+H9bRCtmY0N22fFcn9AAA7cVbuzyb+bEzPjuKH/6bV0h9ZndwPALAT54739+WwXnpcJ7orKN0SGOy/gu/c//n6GO/sx9fP7PTn98OJU5mVzD/NmFpKZ2qdAQA4wzVyfzQrnZ7OLbXZ2BSNgtyfS5nJ9M/Xx0Purc0av/76en/ujj9VlyqtVGcAAM632nM+aWTvxqP4FVGDpUWyqz43+e7b3Nx/mlKZ9fX+vGSp8hSdAQA42wrj/X3wpH5Lpo8WrOT++rKc7yLj/e/PyUD1sfb1h9i31BkAgDOsMN7fj/9Ct5TR1x3vZxXF5/tPETY3vT4rGdQ+TassNdCZUmcAAM5wkdzflx/ur08MG8xOj6akDTLLjPH+4Fn0iVmZdJsb1Y6Wyq5UZwAAVrJa7s/eA6SVsyoNZqv1cv9KZj3n8/n6OP7WmsKs5qfYx0vlV6ozAACrWOfvevskiJeSeraF9MfJ8X5WMfP5/iCOVmZlwm7pW2ty+VZnSp0BADjDOn/X2zcE/fPH+0X/1ZW/vz//x6aHmo+vn7VZB+/Po6ZOdaYa1JnsUgAA51kt9/MT3dX/r/f9+Y7Gt++qMwAA55P7d+2ecv/n6+v9JO276gwAwArk/l27p9wPAMAFyf27JvcDAOyE3L9rcj8AwE7I/bt2OMSHY60oiqIoiqJsu8j9u3brO08AAK4nzIFyPwAAbJ/cDwAA2yf3AwDA9sn9AACwfXI/AABsn9wPAADbJ/cDAMD2yf0AALB9cj8AAGyf3A8AANsn9wMAwPbJ/QAAsH1yPwAAbJ/cDwAA2/f/AKQ5vabqAQMAAAAASUVORK5CYII=" alt="" width="751" height="240" />

通过调试工具 DPP，我们可以获取上述 goodInfo 的相关信息如下所示：

goodInfo=2142670,101-006-72936,628800

goodInfo_g=5

goodInfo_g0=sysNo":"2142670","skuid":"487623639432","productID":"101-006-72936","productTitle":"苹果（Apple）iPhone 6 Plus (A1593) 64GB 银色 移动4G手机","price":"628800","

goodInfo_g1=2142670

goodInfo_g2=","skuid":"487623639432","

goodInfo_g3=101-006-72936

goodInfo_g4=productTitle":"苹果（Apple）iPhone 6 Plus (A1593) 64GB 银色 移动4G手机

goodInfo_g5=628800

通过上述信息，结合正则表达式提取器的配置信息，我们可以很容易的看出，配置中模板 $1$ 中的数字，对应上述信息中的不同数据。例如：若模板为 $0$，则最终的数据为上述第三行等号后的数据；若模板为 $3$，则最终数据为 101-006-72936。上述提取器的模板为： $1$,$3$,$5$，最终的数据为 2142670,101-006-72936,628800。那么若是想要获取 101-006-72936，改怎么引用呢？相信聪明的你已经在上述信息中发现了，对了，实际应用的表达式为 ： ${goodInfo_g3}。

下面就以获取商品编号，并通过商品编号搜索商品，同时通过 商品系统编号、商品价格 验证搜索结果是否正确（商品搜索的 HTTP请求 获取请小主自行获取，谢谢！），依据下图所示，将搜索请求中的关键字参数化为上步 HTTP请求中的 商品编号。

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" alt="" width="760" height="352" />

最终脚本执行结果如下所示（断言请小主自行仿照配置）：

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" alt="" width="761" height="297" />

附录（一）：

 <?xml version="1.0" encoding="UTF-8"?>

 <jmeterTestPlan version="1.2" properties="2.7" jmeter="2.12 r1636949">

   <hashTree>

     <TestPlan guiclass="TestPlanGui" testclass="TestPlan" testname="接口自动化测试用例 - 非登录态" enabled="true">

       <stringProp name="TestPlan.comments"></stringProp>

       <boolProp name="TestPlan.functional_mode">false</boolProp>

       <boolProp name="TestPlan.serialize_threadgroups">false</boolProp>

       <elementProp name="TestPlan.user_defined_variables" elementType="Arguments" guiclass="ArgumentsPanel" testclass="Arguments" testname="用户定义的变量" enabled="true">

         <collectionProp name="Arguments.arguments"/>

       </elementProp>

       <stringProp name="TestPlan.user_define_classpath"></stringProp>

     </TestPlan>

     <hashTree>

       <ThreadGroup guiclass="ThreadGroupGui" testclass="ThreadGroup" testname="001-类目搜索验证" enabled="true">

         <stringProp name="ThreadGroup.on_sample_error">continue</stringProp>

         <elementProp name="ThreadGroup.main_controller" elementType="LoopController" guiclass="LoopControlPanel" testclass="LoopController" testname="循环控制器" enabled="true">

           <boolProp name="LoopController.continue_forever">false</boolProp>

           <stringProp name="LoopController.loops">1</stringProp>

         </elementProp>

         <stringProp name="ThreadGroup.num_threads">1</stringProp>

         <stringProp name="ThreadGroup.ramp_time">1</stringProp>

         <longProp name="ThreadGroup.start_time">1419564228000</longProp>

         <longProp name="ThreadGroup.end_time">1419564228000</longProp>

         <boolProp name="ThreadGroup.scheduler">false</boolProp>

         <stringProp name="ThreadGroup.duration"></stringProp>

         <stringProp name="ThreadGroup.delay"></stringProp>

       </ThreadGroup>

       <hashTree>

         <HTTPSamplerProxy guiclass="HttpTestSampleGui" testclass="HTTPSamplerProxy" testname="手机数码-手机通讯-苹果" enabled="true">

           <elementProp name="HTTPsampler.Arguments" elementType="Arguments" guiclass="HTTPArgumentsPanel" testclass="Arguments" enabled="true">

             <collectionProp name="Arguments.arguments">

               <elementProp name="districtId" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.name">districtId</stringProp>

                 <stringProp name="Argument.value">29357</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

               </elementProp>

               <elementProp name="exAppTag" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.name">exAppTag</stringProp>

                 <stringProp name="Argument.value">2045191607</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

               </elementProp>

             </collectionProp>

           </elementProp>

           <stringProp name="HTTPSampler.domain">mb.51buy.com</stringProp>

           <stringProp name="HTTPSampler.port"></stringProp>

           <stringProp name="HTTPSampler.connect_timeout"></stringProp>

           <stringProp name="HTTPSampler.response_timeout"></stringProp>

           <stringProp name="HTTPSampler.protocol">http</stringProp>

           <stringProp name="HTTPSampler.contentEncoding">GB2312</stringProp>

           <stringProp name="HTTPSampler.path">/json.php?mod=Search&amp;act=page&amp;p=1&amp;path=706188t706189&amp;districtId=29357&amp;areacode=1&amp;dtype=list%7Cpage%7Cclasses&amp;appSource=android&amp;appVersion=45</stringProp>

           <stringProp name="HTTPSampler.method">POST</stringProp>

           <boolProp name="HTTPSampler.follow_redirects">true</boolProp>

           <boolProp name="HTTPSampler.auto_redirects">false</boolProp>

           <boolProp name="HTTPSampler.use_keepalive">true</boolProp>

           <boolProp name="HTTPSampler.DO_MULTIPART_POST">false</boolProp>

           <boolProp name="HTTPSampler.monitor">false</boolProp>

           <stringProp name="HTTPSampler.embedded_url_re"></stringProp>

         </HTTPSamplerProxy>

         <hashTree>

           <HeaderManager guiclass="HeaderPanel" testclass="HeaderManager" testname="HTTP信息头管理器" enabled="true">

             <collectionProp name="HeaderManager.headers">

               <elementProp name="Charset" elementType="Header">

                 <stringProp name="Header.name">Charset</stringProp>

                 <stringProp name="Header.value">UTF-8</stringProp>

               </elementProp>

               <elementProp name="Content-Type" elementType="Header">

                 <stringProp name="Header.name">Content-Type</stringProp>

                 <stringProp name="Header.value">application/x-www-form-urlencoded</stringProp>

               </elementProp>

               <elementProp name="Accept-Encoding" elementType="Header">

                 <stringProp name="Header.name">Accept-Encoding</stringProp>

                 <stringProp name="Header.value">gzip</stringProp>

               </elementProp>

               <elementProp name="User-Agent" elementType="Header">

                 <stringProp name="Header.name">User-Agent</stringProp>

                 <stringProp name="Header.value">Dalvik/1.6.0 (Linux; U; Android 4.4.2; GT-I9502 Build/KOT49H)</stringProp>

               </elementProp>

             </collectionProp>

           </HeaderManager>

           <hashTree/>

           <ResponseAssertion guiclass="AssertionGui" testclass="ResponseAssertion" testname="01 - 判断类目搜索结果状态码" enabled="true">

             <collectionProp name="Asserion.test_strings">

               <stringProp name="71131476">&quot;errno&quot;:0</stringProp>

             </collectionProp>

             <stringProp name="Assertion.test_field">Assertion.response_data</stringProp>

             <boolProp name="Assertion.assume_success">false</boolProp>

             <intProp name="Assertion.test_type">2</intProp>

           </ResponseAssertion>

           <hashTree/>

           <RegexExtractor guiclass="RegexExtractorGui" testclass="RegexExtractor" testname="正则表达式提取器 - 获取商品列表中商品的系统编号" enabled="true">

             <stringProp name="RegexExtractor.useHeaders">false</stringProp>

             <stringProp name="RegexExtractor.refname">sysNo</stringProp>

             <stringProp name="RegexExtractor.regex">&quot;sysNo&quot;:&quot;(.+?)&quot;,&quot;</stringProp>

             <stringProp name="RegexExtractor.template">$1$</stringProp>

             <stringProp name="RegexExtractor.default">ERROR</stringProp>

             <stringProp name="RegexExtractor.match_number">2</stringProp>

           </RegexExtractor>

           <hashTree/>

           <RegexExtractor guiclass="RegexExtractorGui" testclass="RegexExtractor" testname="正则表达式提取器 - 获取商品列表中商品的销售价格" enabled="true">

             <stringProp name="RegexExtractor.useHeaders">false</stringProp>

             <stringProp name="RegexExtractor.refname">price</stringProp>

             <stringProp name="RegexExtractor.regex">&quot;price&quot;:&quot;(.+?)&quot;,&quot;activePrice</stringProp>

             <stringProp name="RegexExtractor.template">$1$</stringProp>

             <stringProp name="RegexExtractor.default">ERROR</stringProp>

             <stringProp name="RegexExtractor.match_number">3</stringProp>

           </RegexExtractor>

           <hashTree/>

           <RegexExtractor guiclass="RegexExtractorGui" testclass="RegexExtractor" testname="正则表达式提取器 - 多匹配项处理之一 - 获取单个匹配项" enabled="true">

             <stringProp name="RegexExtractor.useHeaders">false</stringProp>

             <stringProp name="RegexExtractor.refname">single_sysNo</stringProp>

             <stringProp name="RegexExtractor.regex">sysNo&quot;:&quot;([0-9]{2,8}).+?price&quot;:&quot;(.+?)&quot;,&quot;</stringProp>

             <stringProp name="RegexExtractor.template">$1$</stringProp>

             <stringProp name="RegexExtractor.default">ERROR</stringProp>

             <stringProp name="RegexExtractor.match_number">2</stringProp>

           </RegexExtractor>

           <hashTree/>

           <RegexExtractor guiclass="RegexExtractorGui" testclass="RegexExtractor" testname="正则表达式提取器 - 多匹配项处理之二 - 获取单个匹配项" enabled="true">

             <stringProp name="RegexExtractor.useHeaders">false</stringProp>

             <stringProp name="RegexExtractor.refname">single_price</stringProp>

             <stringProp name="RegexExtractor.regex">sysNo&quot;:&quot;([0-9]{2,8}).+?price&quot;:&quot;(.+?)&quot;,&quot;</stringProp>

             <stringProp name="RegexExtractor.template">$2$</stringProp>

             <stringProp name="RegexExtractor.default">ERROR</stringProp>

             <stringProp name="RegexExtractor.match_number">2</stringProp>

           </RegexExtractor>

           <hashTree/>

           <RegexExtractor guiclass="RegexExtractorGui" testclass="RegexExtractor" testname="正则表达式提取器 - 多匹配项处理之三 - 获取多个匹配项" enabled="true">

             <stringProp name="RegexExtractor.useHeaders">false</stringProp>

             <stringProp name="RegexExtractor.refname">goodInfo</stringProp>

             <stringProp name="RegexExtractor.regex">sysNo&quot;:&quot;([0-9]{2,8})(.+?)productID&quot;:&quot;(.+?)&quot;,&quot;(.+?)&quot;,&quot;price&quot;:&quot;(.+?)&quot;,&quot;</stringProp>

             <stringProp name="RegexExtractor.template">$1$,$3$,$5$</stringProp>

             <stringProp name="RegexExtractor.default">ERROR,ERROR,ERROR</stringProp>

             <stringProp name="RegexExtractor.match_number">3,3,3</stringProp>

           </RegexExtractor>

           <hashTree/>

           <DebugPostProcessor guiclass="TestBeanGUI" testclass="DebugPostProcessor" testname="DPP  --  所属 ：HTTP请求" enabled="true">

             <boolProp name="displayJMeterProperties">false</boolProp>

             <boolProp name="displayJMeterVariables">true</boolProp>

             <boolProp name="displaySamplerProperties">true</boolProp>

             <boolProp name="displaySystemProperties">false</boolProp>

           </DebugPostProcessor>

           <hashTree/>

         </hashTree>

         <HTTPSamplerProxy guiclass="HttpTestSampleGui" testclass="HTTPSamplerProxy" testname="搜索商品 - 【${goodInfo}】" enabled="true">

           <elementProp name="HTTPsampler.Arguments" elementType="Arguments" guiclass="HTTPArgumentsPanel" testclass="Arguments" enabled="true">

             <collectionProp name="Arguments.arguments">

               <elementProp name="q" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.value">${goodInfo_g3}</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

                 <stringProp name="Argument.name">q</stringProp>

               </elementProp>

               <elementProp name="districtId" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.value">29357</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

                 <stringProp name="Argument.name">districtId</stringProp>

               </elementProp>

               <elementProp name="areacode" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.value">1</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

                 <stringProp name="Argument.name">areacode</stringProp>

               </elementProp>

               <elementProp name="dtype" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.value">list|page|classes</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

                 <stringProp name="Argument.name">dtype</stringProp>

               </elementProp>

               <elementProp name="districtId" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.name">districtId</stringProp>

                 <stringProp name="Argument.value">29357</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

               </elementProp>

               <elementProp name="exAppTag" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.name">exAppTag</stringProp>

                 <stringProp name="Argument.value">2045191607</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

               </elementProp>

               <elementProp name="appSource" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.value">android</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

                 <stringProp name="Argument.name">appSource</stringProp>

               </elementProp>

               <elementProp name="appVersion" elementType="HTTPArgument">

                 <boolProp name="HTTPArgument.always_encode">false</boolProp>

                 <stringProp name="Argument.value">45</stringProp>

                 <stringProp name="Argument.metadata">=</stringProp>

                 <boolProp name="HTTPArgument.use_equals">true</boolProp>

                 <stringProp name="Argument.name">appVersion</stringProp>

               </elementProp>

             </collectionProp>

           </elementProp>

           <stringProp name="HTTPSampler.domain">mb.51buy.com</stringProp>

           <stringProp name="HTTPSampler.port"></stringProp>

           <stringProp name="HTTPSampler.connect_timeout"></stringProp>

           <stringProp name="HTTPSampler.response_timeout"></stringProp>

           <stringProp name="HTTPSampler.protocol">http</stringProp>

           <stringProp name="HTTPSampler.contentEncoding">GB2312</stringProp>

           <stringProp name="HTTPSampler.path">/json.php?mod=Search&amp;act=page&amp;p=1&amp;pp=20</stringProp>

           <stringProp name="HTTPSampler.method">POST</stringProp>

           <boolProp name="HTTPSampler.follow_redirects">true</boolProp>

           <boolProp name="HTTPSampler.auto_redirects">false</boolProp>

           <boolProp name="HTTPSampler.use_keepalive">true</boolProp>

           <boolProp name="HTTPSampler.DO_MULTIPART_POST">false</boolProp>

           <boolProp name="HTTPSampler.monitor">false</boolProp>

           <stringProp name="HTTPSampler.embedded_url_re"></stringProp>

         </HTTPSamplerProxy>

         <hashTree>

           <HeaderManager guiclass="HeaderPanel" testclass="HeaderManager" testname="HTTP信息头管理器" enabled="true">

             <collectionProp name="HeaderManager.headers">

               <elementProp name="Charset" elementType="Header">

                 <stringProp name="Header.name">Charset</stringProp>

                 <stringProp name="Header.value">UTF-8</stringProp>

               </elementProp>

               <elementProp name="Content-Type" elementType="Header">

                 <stringProp name="Header.name">Content-Type</stringProp>

                 <stringProp name="Header.value">application/x-www-form-urlencoded</stringProp>

               </elementProp>

               <elementProp name="Accept-Encoding" elementType="Header">

                 <stringProp name="Header.name">Accept-Encoding</stringProp>

                 <stringProp name="Header.value">gzip</stringProp>

               </elementProp>

               <elementProp name="User-Agent" elementType="Header">

                 <stringProp name="Header.name">User-Agent</stringProp>

                 <stringProp name="Header.value">Dalvik/1.6.0 (Linux; U; Android 4.4.2; GT-I9502 Build/KOT49H)</stringProp>

               </elementProp>

             </collectionProp>

           </HeaderManager>

           <hashTree/>

           <ResponseAssertion guiclass="AssertionGui" testclass="ResponseAssertion" testname="响应断言" enabled="true">

             <collectionProp name="Asserion.test_strings">

               <stringProp name="-388667338">${goodInfo_g1}</stringProp>

               <stringProp name="-388667214">${goodInfo_g5}</stringProp>

             </collectionProp>

             <stringProp name="Assertion.test_field">Assertion.response_data</stringProp>

             <boolProp name="Assertion.assume_success">false</boolProp>

             <intProp name="Assertion.test_type">16</intProp>

           </ResponseAssertion>

           <hashTree/>

           <DebugPostProcessor guiclass="TestBeanGUI" testclass="DebugPostProcessor" testname="DPP  --  所属 ：HTTP请求" enabled="true">

             <boolProp name="displayJMeterProperties">false</boolProp>

             <boolProp name="displayJMeterVariables">true</boolProp>

             <boolProp name="displaySamplerProperties">true</boolProp>

             <boolProp name="displaySystemProperties">false</boolProp>

           </DebugPostProcessor>

           <hashTree/>

         </hashTree>

       </hashTree>

       <ResultCollector guiclass="ViewResultsFullVisualizer" testclass="ResultCollector" testname="察看结果树" enabled="true">

         <boolProp name="ResultCollector.error_logging">false</boolProp>

         <objProp>

           <name>saveConfig</name>

           <value class="SampleSaveConfiguration">

             <time>true</time>

             <latency>true</latency>

             <timestamp>true</timestamp>

             <success>true</success>

             <label>true</label>

             <code>true</code>

             <message>true</message>

             <threadName>true</threadName>

             <dataType>true</dataType>

             <encoding>false</encoding>

             <assertions>true</assertions>

             <subresults>true</subresults>

             <responseData>false</responseData>

             <samplerData>false</samplerData>

             <xml>false</xml>

             <fieldNames>false</fieldNames>

             <responseHeaders>false</responseHeaders>

             <requestHeaders>false</requestHeaders>

             <responseDataOnError>false</responseDataOnError>

             <saveAssertionResultsFailureMessage>false</saveAssertionResultsFailureMessage>

             <assertionsResultsToSave>0</assertionsResultsToSave>

             <bytes>true</bytes>

             <threadCounts>true</threadCounts>

           </value>

         </objProp>

         <stringProp name="filename"></stringProp>

       </ResultCollector>

       <hashTree/>

     </hashTree>

   </hashTree>

 </jmeterTestPlan>

至此， JMeter学习-011-JMeter 后置处理器实例之 - 正则表达式提取器（三）多参数获取进阶引用篇 顺利完结，希望此文能够给初学 JMeter 的您一份参考。

最后，非常感谢亲的驻足，希望此文能对亲有所帮助。热烈欢迎亲一起探讨，共同进步。非常感谢！ ^_^