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Common DataFiles, relative filepaths & load agents
Richard. Posts: 4
8/4/2022
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A simplified file structure of what's trying to be achieved:
![](data:image/png;base64,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)
A working folder is used by several individuals (managed using external source control as necessary) and it's path is specific to each individual. The working folder contains multiple projects & each project has several tests.
There are some resources (e.g. files to be uploaded during tests) common to all tests & also some common only within specific projects.
In tests, some sessions have parameterised file uploads using datasets e.g.:
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqMAAABwCAYAAAAqqnnAAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAASdEVYdFNvZnR3YXJlAEdyZWVuc2hvdF5VCAUAABt9SURBVHhe7Z29jxzHmYf3X7m/YbMJmR0MAU4UK7DQmaCQB+ECwsDRFx2GiYDJGNhnGYITEpjANggmcnCY8CAGC16yWAggJFhkQBCWoL56q+vtqa5+qz9meuern0f4eaarq6t71tyZZ9/qnr569+5dSQi5v/z4449mrL6EEELI3HL1298tS0IuLf/xn/91crGElBBCCJl7rkoAuHeQUUIIIcQOMgpwAJBRQgghxA4yCnAAYhm9uroihBBCiCZ8Vt4br1+/LjebTfn27dvQAjA/Uhl9+vQpIYQQMrt8/fXXrdybjP7j27+Xm6JwuS431y7yfLUqb29vQ48ebpblIjXnq0VZrMP6+0b2v1iWN2FRWRfpMYVMeGA3y2L72hfymtOjgHPDklH5A+1Uc+rHRwgh5DxzMBn14ikCakXkdLMJPTswZPBm7STNEMR7ISOjW9ZlcVW4/92BjrFvlgsnoMuy9s8b2c+iXB7kRcN9kZPRU0WODwAAYEru7u4OI6MimqaExnGy+ubNm7BFBlPY9hDAsRxFRm/K5QLxvESQUQAAmDuHk9GuqqjET90X5cuXL8MWGQxha1RG3fpioVPZxVbgpJKo7X5aP6xI+nuJ9PsoyqJYuHbXFvVZOCmUCmXeCw0ZzRyTr3bq8SzXTji1TzK+P56Ofcrr9+OEscLOm+PbrxfBPS7IKAAAzJ2DyKh8uKYy+oerfyk37sO3kSClnYiYub6VZG2lqnLLpIJYS5y0X0VCplPcoT2IqZc3MTm/D7fetyd9nPiNk9HcMUX9/P4q6TWlM9du0TV+9ljgWCCjAAAwd0bL6GeffTbqUZCpd5XRlfvAlbQkVDNERmOBcmIpguWrgV66ElH1UpmRrtZYYTluz/UJi20SGZX+1jEFEfYXIi2dJsqAubH79unWF26cenzfNzN+4zgkkZzCwZmNjGb+7XVe3xf/u29t37NtTDxOinFci/qP1o7tatI/PgWrLWLQuAOYahwAgCNz0MqoimhdFY0lVLNaha0yWG/AUq2sK5rGh0DuTTtt1+W4PdcnLLaxZLTrg8nJdHQ6gD12UtFsIPsT4Q4rW8ebjN91LHBwZiWjyb/t3gsP421a/67b4zXo2jbGWqdtffvwIKMAAPuyc2V0LCKZDRGNZLSUaqjk178uX716FbbIYL4B65t/VQ2Mz4+s+qbtQeC6punrfRh9Oj8A0g+i3DHpMfhG10eEMv/hovtV59y+hmp/2+H1NAJjfH29rWOBYzFnGR0lba3t99k2Ytd1NdZxjDi2fZhqHACAI3OwC5hkqt4UUSegXkT//VF/VVQw34BVtuSp+yBwwuWn3OILdOJ2J2n2BUxh3HQfsuy3uyoXxaLnA8D4IMocU/y9odXUoF7EZH+QNb5nNHoNjXHcz0FfR3t8acz8fOAoXJSM+t+bovHvq/53bPze9l54GG+TbN/YVp7Ldj7V70X1eyRjuT7huKoZAu3jh2mN69G2ZP/2743x+65tYb+tn0fHuPU4rdcU2qP+/RdTAgCcBwerjAr+rksioe6NtCGjQ0UU4MK4OBl1Elb/3aMzDdVCJFchIl+VkW3/mPSLQdb0UduSbc0/pLLbRn+AJhLcPC6VyHiMzPH5hR4ZtX4ejXGNmZmUXH/3OpBRALgEDlYZVeSDVr6+SeRTI5IKMEcurzIayVG83Fo38sLDdPsYt651AV/nvnvG1bb4sXFsEpXTvsqosd/0MaxOj6vzNQnpMgDAmXLQyigANJmtjApS2dNKYUvoHH3be0T8RFzDGu3XtW3fuOkY8mgdnyepmgrp9qHZHNdaP+Q1CekyAMCZcvDKKABsmdU0fUuctKoYpp+3G7blKyte1RjbTcPUdde2feNqW70uc3zVknPq7dS54KfPI8lu/TzScVvT9JnXZPWPjgMA4FyhMgpwRC6vMrqILsiJRCkRuIqoqmhdWBdvY25fYV/AF10MmG7bN662NfoZx1fjXoe/sDGkiMc2fh7J/q2fV+6iRL+ttvdeTAkAcB4cvDL67NmzsijkVpvbSBvAHLnoafq5w88DAGAQB6+MinzGyAdv2gYwF5DRC4afBwDAIA5eGbXEc5SMRtNUPrmveEnJfTBk2uU8sHofcfQcuAmIp+L8bTuj885gHlyUjAIAAOxAr4z+5a9/K588eZKNrM/x8OFDL5q7RLY18TIaXdnacdcij8rmSBndohdZ7EDH2HrxQe2fck5a/XUxMBeQUQAAmDu9MirC+c+ffspG1ucQqXz06JGZx48fN5Kul21NUhkdKosnJaPRhRswa5BRAACYO/cuo6lophKartcMllGtjKbip8vpY1inV7A2rlQ1MWQ02j4+TcBXO6XtalEWS72aV/ok48fHYpG5FWBz/HqnHVf5wqnz298tWzJKCCGEzC33KqOxYPYJaJxuGVVRC2ImspYKni6nj+6/xnf19d5SL5XRpKpZjxv1kzZ5Xq9LyLVbdI2fPRY4FywZpTIKAABzYpCM/vDD9+WvfvPHVqRdZVSvso8fLRnV5+XGyaaLtqeSOrgyqsupiOly7jF06xe4REalf0OGKyFe3lSS6y9EWjpNlAFzY/ft061v3QrQ/WeO3zgOCdP/5wQyCgAAc2ewjObSVxndJyZewCI59JLmBCy9kEmFL/cYuvWKoSmj8f4T5J7bhYikIcg1SUWzgexPXk9Y2TreZPyuY4GTBxkFAIC5M0hGb29vs+mTUa10agU0Xu7KYBmtlytpVMGT6feGfNZSV1UYh99SL5FR3b7ekY4bJNI3ZwQ5In81ffI66lsBGuOHamzuNoVw+lyijMrrAAAAGMpBZVSiQtonpt0y2pyWNi/wcds3JDQWtWiM/lvqpTLqEGGUKXMZo3EBU3QLP98Y3ZKw6tKg8T2j/nVUA+VuBdgeXxrtY4HzABkFAIC50yuj+3zPqCWjQ5OVUYAL4txldC3nL4fnyr+uvvGvpb4/xDlW7Kc45swfwFW2f0QLfiYnWl/f334Ibuz2qURunHgHbrTqnPPM8fCHLAAckV4Z3QeV0fTipCFBRmEOnLuMymxEw3mcEq3cf75JZUwf/fozYYpjjsdIx4uX/SlFTiajnfnTc5o/WIMgmF4oExldJDM+0ualMzqeeBvrlKL0mAEA7onRMjrm3vT3cgcmgAtiKhn9+eefy/fv35cfPnwof/nll9A6PamMinwWifR8883n5y81UxxzPEZrPD39R8//Ds07kZxKFPYlFzrW44rwuvfVxvHE26RjAAAckNEyCgDTMYWMqoh+9NFH5fPnz72Q3hdtGRWv0eqoCE311tH4NolEykad42z1j78bOJaqxlR3OCa/b/kDtzqffCE3o/DPwznauj7ahx/Lt+94zEoyRv1cFn011C0n7bthy6jfRzjYtYhpXP2UPvE2XZVR/2j8jAS3btu+Pb8dAGAMo2V0TGW0jynHAjhH9pVRFVE5f1tEVIRUlu8LS0a9DEWSU1dGGzIj65MqYN2eI99/XQSxdOvN2ex43048/Rjp83r9VjD9RZAyoK4ffcwRcV+/nyBtQegaxyF9BBHtus/A/eRktB47/P/TdTzJOayeeBzrZ+RG8t/moecXxOMDAIxgtIyeAq9evSpXMp1/7d4IXf78p2VYA3Be7COjcUX0wYMH5RdffOGXpf2+sGW0EhStRGZl1EtNLECVBNWil9LZv6rCNs6rdP1bN4vQfYf1redxm5C2y2O9b03HMcfEY6f7Uca2m2Rk1P23lCqmVEgbgh36pNvEy4L2j7cT+trDIgDAUEbL6LEro6uVTLldOxl1cc/j5VO+8APAYlcZTUVUK6L3KaJCTka9EAVB6ZbRRHi66Orv1wXh9A0iZE4S0yqdPsZtufVC2i6PY4853Uf6vEFSeVWy/S1yMipP5UKm+JSF6Hgar8s4Du2fHktfe1gEABjKaBk9Jl48r68qEU0iQloUV7sJqZ8aG1jtUHjjhQkYKqMimml0Wv5QIirkZVR+JZz0LPum6cfcpCHXvxInmR6WcyH1O31FyLZdw3ml8T6s5/LY2M6aph9zzEGKpYO8r1j7TpHKpVQwdaW/8UUs2n3kZdQ/13W5diFdFrR/WNf6GbmRGtP0/nUMPWYAgC2jZfSYlVGdlhfpXDXiRHSPKXv5QJMr+Osvks+RvplP8cY7xZj3cVxwEMbIqFRA40eRUBHSQ4mo0CWjlRS5t46sjEqb6+MExk9363mTXRj9tzIkyD4r+TNvFpH73Wgcm/v9r/dh9R15zCJl/jiiP3Dj8Qwa3zMq++i4e1sb+RlkZDSm8Zrcc91fONb6R6rjaX//aPyMhHgc/ZmHVQAAQxkto8ekltEQldCNTNeH51I9ffbsmXtc+bx8+bKnWip/3csbuXzg9LyRpm/mU7zxTjHOVMcCB2efyqjmUCIqdMtohbyOs4HfnTz6sxn4MxKhbpzDCwAwkNEyeszKaFwB3ayunWxWU/PlpvDZuPVffvllLaIakdMs8kZbTzmFSkb65uuX46820TfoInxNjLRHlQW3rlVJMftX01zNMcN+42pM6OuJKyi9YzSPwx+eeRyyAo7BPhcwHYP7kVGpxIV/p40k08b3Qfz7MopDHfORfjYilm4/frao42cks0r1Mel7HQDASEbL6DHxAhrJpzzfhOc+XlArAVXS5RR/nlt4V5fn5puvLsft8jyVRL8ukloh3tbqn45Zj+GkWwfx55BFYyrx2Lkxwv4a58KZxw3H4BJlFAAAYAyjZfQ+KqNDH0U2RUhr+UwzWkajqmL9130id0Kn9AXiPvF4Pk4k03PAusaM21LcukFfX5OO0dceFuGwIKMAADB3RsvoUQnCuRVQJ5l1qrZRMioi1pijDlXNMeLoOzjiPtYUWlf/dMy0b02okGpVc8wYfe1hEQ4LMgoAAHNntIzWVcoJGDvWd999G8loLKJVZMreZ7VN9V2kbhuDelo+ompbOunbnv9k3rovK3XpFHtoz/WP27Nj6DS9PEbH1fn1NR3T9NpXSJfhoORk9O7u7iQjx0cIIYRMnVEyemz+8e3fg5CuquflppJR1yYiKhc5pfHnlbYIVdDUwoKcrUXe/FT4ovraJy9scvtBaSu2X3sSNmtInfVVMNn+mTEzFzCZX1+THSO+gGnbZh8HHAMqowAAMHdGy+gxK6OK/7D21VEnpaFSKlVT/YqnZmU0J6MAxwcZBQCAuTNaRk+ZVEZ1ih4ZhVMFGQUAgLkzWkZPoTKaw0uoE08rAKcIMgoAAHNntIyeKvIBrpXQRsJ5owCnCDIKAABzZ7SMnnJlFODcQEYBAGDujJZRAJgOZBQAAObOaBk9zcroply5D3L5MI+fF5tqLcCpsquMvn//vpFDgYwCAMDUjJbRk2RTuA/ylXzj6BarzUK+ZzPI65W/+1JoPwr6RfVhUZnqu0Bz4/Bdo0djFxlVAf300099DimkyCgAAEzNaBndp5r5l7/+rXzy5Ek2sn4nRDyLTfnhw4fQ4NisBsio3tkoLHoxNW7leUDyd4UaoIp9UomMnhy7yOiLFy/KBw8e1DIqz6XtECCjAAAwNaNldB9EOP/500/ZyPpd2KyudpPRU5Sw1jFl7hS1C8joyTFWRqUC+vz58/Lzzz/3EiqR59J2iOooMgoAAFMzWkb3qYzuI6OPdCo9ZHs+aHWOaPv80I3fZtVto9W0+HJd3qQm5gQtvqWnr5am0qbL/rEoi0JuISq35LRv5ZmOaQtmIp/xPuUe+X5MHVfX675l3DF9jdeVOUZ/b3sdaxIzBgEZBQCAuTNaRvdh+sqoCOejcvN9WDTwVdMuI3XiuFQ5q6fs9dzNSrq8iInNxdIm6LI8yra+vwpu6CVi6sftkMyEeFo+O0Vv7Ts3ZtI3/7pyxyivIRLXI5/KcEnsM00vEqpSyjQ9AACcK6NldN/K6A8/fF/+6jd/bEXaVUZ1H+mjTaYy+tOP5aawKqZ5btZFVVmsJSygy0Pa0z6KtHvhjROJX0w9RlsOC7dcb9+1776+gi7Hj9q/juy/Emy5wMusIsPO7CKjglRBRUAlh6iIKsgoAABMzWgZ3QeV0Vy6KqP5afpQ/XQNjXNGB1RN24QKYJ+0hWazPe2jSPvgiqJKaDxWqLBGU/75fQ/oK6Tt8th1jHUVmcroVOwqo4JI6CFFVEBGAQBgakbL6L6V0dvb22y6ZLSTHa+mr6apt3JWV0bdf+Y0vZe86DxKOS+zJXlh222nSgxDdXHbnohhgp+ed0K6naJP9r00qrj1846+jfbwuurtcseor8E3BlH2PWBP9pHRY4CMAgDA1IyW0X04NRkVsVrX54u6yAU9KllOxLYX8gTZ883af1EWhSWjjuwFTFF7dHGQiRfHpvSJVOo0uohqXkY7+roxF+nraoxhH2NjPEx0MpBRAACYO6NldJ/K6P19z6ghnpagApwYyCgAAMyd0TJ6koSLleTD3FlofTvQ7q91Ajg+yCgAAMyd0TK6T2U0ZcqxAM6RnIze3d2dZOT4CCGEkKkzSkYBYDpSGbV+GQkhhJA55uwqo1RZ4RxBRgkhhBA7VEYTnj17Vj5+/Ng/AkwFMkoIIYTYoTIaIQJ6fX1dCynAVCCjhBBCiB0qowEVUaFTRP13eIbv54zivysfIAMySgghhNiZfWVUq6CDRFSIvzi+jzF9u5hqHDgayCghhBBiZ9aV0VhEB0/NI6OwA8goIYQQYme2ldHRFVElJ4b1/e4d0ie9HaffrigLf1vSolzL/e5lnY/cStSP4rZNbzG69veRr8fxfeJbmLqxQls8/jK+nSm39Tw6yCghhBBiZ5aV0Z1FVPCiGUSwTiWE60Lu5y7yGOTSC2JTUJf1TfEj6n43XjxreRQx9dtE42ifMI6/h77srDG+bBdJqj6Ho4GMEkIIIXbOtjI69DElno4fPDUfEwtmC5FAJ6da5oz7ptu55cJJay20si43ds84frnRXgnrlUixk+Ob1oBwaJBRQgghxM5sKqMqnnuJqJATRkHWqVjqsvXcS2tUJdV1ubGz4zi6tr1Zl0s9LSA0wXFARgkhhBA7szhnNBXPnUVUyAmja6mm52/KtRPAhUy1ZyWymkavZ+OXer7pntP0jfHddn6hOi4dEo4DMkoIIYTYufjK6KQiKoj0SfXTSn0VksqgXnxUlOtEYkVAdZyFTNfrutYFTNIajVNtHF3ApNt1jI+JHh1klBBCCLFz0ZXRyUUUYEeQUUIIIcTO7M4ZBTgGyCghhBBiZ5bnjAIcGmSUEEIIsTO7c0YBjgEySgghhNiZRWX0zZs35atXr+q8fPnSS+pqtfKR59K22Wx8bm9vw5Zbrv7t1VkGTgNklBBCCLEzi3NGY9kUGX39+nUdEU+JPI9FNcUSvXMInAbIKCGEEGJnNueMvn371j8X8cxVSWU6/8svv0RGYXKQUUIIIcTObCqjMlUviJTGlVGplsr6p09/70VUp+1TasFbfl9/l2fFh3L91f81BPCUAqcBMkoIIYTYmU1lVKqgQk5GJSqjUi1NqQVPZPTN9+WiXr4rl85zb150CGm6zb4ZMR6cBsgoIYQQYmc2lVGNTMU/fPiwTlEU5SeffFJ+/PHH/rm0SZU0pRY8SwT75BAZnT3IKCGEEGJnNpXRvml6yeBp+pYI3pXr8l1ZyPOv3kXT+NUUvlROPbpdq081zuLFh22bVlrd/tb19u/K5bI9nrldCJwGyCghhBBiZ7bnjEqbTMfL9L1eUa8XNY2XURHED04U4zYX7dtVyazXRUIrbf55Mq45nrVd6O8CpwEySgghhNg528ro0EchlVGV0BzWurY8boUvFcK1E8ialjxm+njxlOdS3bxz21T9mhdLCU5Ov4rHM7bT/bjAaYCMEkIIIXZmd86oTMOLkG42TjCvy/K//8fJgXt0zb46Ks/1e0djasGzZLRuEykVWdxOsfv2xjaZPvVYd+Xyf0VUndzKuqTSaW7j26LtonY4DZBRQgghxM7szhkVyRQZVfGUKqg8XhcipBv/XPoOltFwNX113mdVIdVp9cWLd0ZlNNNHJdW36/R8VfWMzx/147TGS7erxpbAaYCMEkIIIXZmec6oyqaIp1zAJI8ydS+Pkt7KaGirkAuQthcNiVzq+huZig+iWV10VFUt7T5Jey2gTjarQ3f9VGI7xuMCppMEGSWEEELszKYyKhIqqIxup+crGZUKqbbpxUwxseCdU+A0QEYJIYQQO7OpjIpc6vS8RCqi+jyNrEuxRO8cAqcBMkoIIYTYmUVlVBAZle8RffToUf2F9zI1r1fWS7qusrdE7xwCpwEySgghhNiZRWV0CizRO4fAaYCMEkIIIXZmURn97rtvy1Vxlc0mei59AaYGGSWEEELszKIyKpLpjHNQfF+AiUFGCSGEEDuzqIxWMrpyz+TCpExkPTIK9wQySgghhNiZhXltZTQR0iCgm9W1T+nSK6M3y3LhZEKEosqiLNbNbx6dipt10djXolgm33EK5wIySgghhNjJmtfFVUa9iMYyWolouRERvfIZLKOLSApv1uVy4URx2aGJ6TZDEBFdFGXsuTfLorwq1mHpQOxy7NACGSWEEELs9JjXZSCCuXHS6eWzFtJYRlVI3eNYGRX6hG200N04wV2UXX57MJDRSUBGCSGEEDtZ87qkyuif/7T0Qjok8v2jq9XKf+eoiSln67K4Ktz/ytN4ar2awpfKqV/W7Vp9pDFiiAC6PkU9blGJq9/OPS8W7bE7+he+vzv+IceejOOHT8ZZLqP9n4RRHx9klBBCCLEzj8roauNTFCsfXZYvuJe7M0mbfCG+fvm99jXx4pWKYqaSqX3NbQLWurTNSWIldyqFyf7i/QSJ9Pip/v7+S+uc17iPH8M3ejnV8W9EOsV2G+NEYu7bw/OZg4wSQgghds62MjrkUaqbUuUsXEQy5Z70el96adMK6NOnvy9fv37thVRuGZoVUaEhZ0pTwAonfg15TLex+oRVHnMfDm2XR922jshgez9j+3cee/xciMev20M11Y1TLNdunW+cPcgoIYQQYueiK6NaBe2rgHpp3Wx8H5HV67EyWreJlEaVRlPWMn2qpcCASqtVcUzHGtV/wLE3+jusPopc2KXT/6FpziCjhBBCiJ2LP2dUZFOrnVYFVKRUliWyrqqabpyQysVOBi0hq66mr87NrCqkKpH+6veWrGX6VItb/BS7Ezld4fZTaLXS/ef3uR3ElsJ6eUj/IcfeMU3fGEdFOiPVMwQZJYQQQuxc/DmjUuWUaqfIplUBFfl0Tf5R1hVOQkVaOy9gEimsE52j6RCJ0/ULmfL2klYJq1YJ7T5tGt8zKhcdxdPqIqd+zLBOGhtS6IiXB/QfcuyyzXYcHbtjHEzUg4wSQgghdi66MirVTalyimh2VUB9rqXvqnz8+HHYGmA6kFFCCCHEytfl/wNPilSCDTcBBwAAAABJRU5ErkJggg==)
When verifying tests in the SS interface the relative path specified in the dataset works as required - i.e.:
![](data:image/png;base64,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) Which addresses files relatively, going up 6 folder levels (to the 'common to all' location) then navigates to the common file to be used during the verification.
however when run using load agents this method does not appear to locate the resources used or make them available to the agents when they playback the tests.
We're trying to avoid the same common files (numerous & sometimes large) having to appear in every every test's own DataFiles folder - causing space, duplication, maintenance, versioning, updating & change headaches...
Could you provide a few pointers in relation to how this can be accomplished please.
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George @StresStimulus Administrator Posts: 566
8/9/2022
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During a distributed test, the test structure (described https://support.stresstimulus.com/display/doc56/Test+structure) that includes the configuration file and the project folder is synchronized with every load agent.
The files you are trying to synchronize are outside the project folder, they will not be synchronized.
Since you don’t want to use the DataFiles folder, one workaround would be to copy the data files to each load agent manually (keeping the same relative folder structure) before the test. The test structure is stored on the load agent in %MyDocuments%/Fiddler2/StresStimulus/AgentTemp folder
- Cheers
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