fsub
Input Stack:ts2: TimeSeriesExpr | ts1: TimeSeriesExpr |
|
⇨ |
Output Stack:(ts1 - ts2): TimeSeriesExpr | |
|
Floating point subtraction operator. Compute a new time series where each interval has the
value (a - b)
where a
and b
are the corresponding intervals in the input time
series.
:fsub |
1.0 |
0.0 |
1.0 |
NaN |
NaN |
Input 1 |
2.0 |
0.0 |
1.0 |
1.0 |
NaN |
Input 2 |
1.0 |
0.0 |
0.0 |
NaN |
NaN |
Note in many cases NaN
will appear in data, e.g., if a node was brought up and started
reporting in the middle of the time window for the graph. This can lead to confusing
behavior if added to a line that does have data as the result will be NaN
. Use the
sub operator to treat NaN
values as zero for combining with other time
series.
Example subtracting a constant:
Example subtracting two series:
Before | After |
![](data:image/png;base64,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) | ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAR4AAAECCAYAAAAo3bg2AAAoDUlEQVR4Xu2dffQVRf3HyZ6USsWeRElCTVTQUhExFRSiCKlTmeRDKghpKERhcDgVlmn5cLSOeVBTEpMDiiaEPUo+pBUSiRaYHQ3yEfM5Mvp7fr3n/OYy97MzuztfZ/fO3vt+n/M6997Zz853vzM775ndu3On33//+19FCCF10k8mEEJI1dB4CCG1Q+MhhNQOjYcQUjs9aTz9+vVTIXryySdlkldNi1X33y9TvArJ18T2m7tJU6S+5F1GZWJbx1hxWZSRL9ZVjr5Yl0JiIdlmYkPj6WGZk7nTlD2WsnHdTh2SbSY2NJ4SCuktmhSrT+L/9fJlT2g736J98o7B3te8P/bSdc7tMg3k5W1L5lsoa8Qjj0F+Rr7yGCEZB+Udr4zPi4VCYm2FxEKyzcSGxtPDkg2ESl911ZlsM7Gh8ZRQSG/RpFh9EidwXwMKia8qNoWyKIrliKfBhBpPt6qu3pOKp7rqTLaZ2NB4Siikt2hSLEc8QgmURVEsRzwNJtR4ulV19Z5UPNVVZ7LNxIbGU0IhvUWTYjniEUqgLIpiOeJpMKHG062qq/ek4qmuOpNtJjY0nhIK6S2aFMsRj1ACZVEUyxFPgwk1nm5VXb0nFU911ZlsM7Gh8ZRQSG/RpFiOeIQSKIuiWI54Gkyo8XSr6uo9qXiqq85km4lNzxqP6QHKvBpkuut1/fr1znTXa6fzxUn85OrVmXTfa9l8oZDjhULiKzuO/414nOmO15B8DTLd9VqUr5l7Fjtf+SrbTGx61nio+npPKp7qqjPZZmJD4ykh0wuUUZNieY9HKIGyKIrlPZ4GE2o83aq6ek8qnuqqM9lmYkPjKaGQ3qJJsRzxCCVQFkWxHPE0mFDj6VbV1XtS8VRXnck2ExsaTwmF9BZNiuWIRyiBsiiK5YinwYQaT7eqrt6Tiqe66ky2mdjQeBxC5cbuWUyeNr7f7XXJl69LZWM54hFKoCyKYmOflz7JNhObnjUe2wBsyfS8mCLZecn8XLiUt62vKvqbVLqqss7sc0K2mdj0rPHYhW0XuuuzGZkUAfli7b9nkLFSrliZ7kpz9W5yn9a+CfTyUEh8VbEplEVRrKlvCLGZ+hTKOyek7Hxkm4kNjcfVGB2S23yfQ/Ox082rLw9Xukzz5ePLi2qWXPVrb5PnQl6a/GznJdtMbHreeMrI1VvIijJpIes42fm6Kt+W6xiM5IlU5t5Ra58EenkoJL6q2BTKoijWPk989ew6l+zRtS/GlmwzsaHxUFRDlWccr1eyzcSGxlNCRb2QrabFptDLQyHxVcWmUBYpxEKyzcSGxkNRVEayzcSmZ43H9ABlXg0y3fUa8rsnKeTL3+OxXhvwezx15AvJNhObnjUeiqL8km0mNjSeEjK9QBk1LTaF+xpQSHxVsSmURQqxkGwzsaHxUBSVkWwzsaHxlFBIb9G02BR6eSgkvqrYFMoihVhItpnY0HgoispItpnY0HhKKKS3aFpsCr08FBJfVWwKZZFCLCTbTGxoPBRFZSTbTGxoPCUU0ls0LTaFXh4Kia8qNoWySCEWkm0mNjQeiqIykm0mNjSeEgrpLZoWm0IvD4XEVxWbQlmkEAvJNhObjhrPiy++qK688kp1+umnZ7a5uOmmm9Tw4cM1ixcv1mkbNmxQRx55ZCY2j1Djoahek2wzsemo8ey3335q6tSp6vDDD89sk7zwwgvqgAMO0K8wrAMPPFA999xztRhPSG/RtNgUenkoJL6q2BTKIoVYSLaZ2HTUeLZu3aoeffTRUsZz9913q8mTJ+v3r7zyihoxYoRavXp1m/FgFDRmzBidr9zfJtR4KKrXJNtMbDpqPKCs8dx+++3qjDPOUJs2bVKjR49Ww4YNU8uXL28Zz5133qnTtmzZktlXEmo8Ib1F02JT6OWhkPiqYlMoixRiIdlmYtMo4zniiCPUqFGj1Lp169S0adNaxjNkyBA1YMAAbT5yPxehxkNRvSbZZmLTGOO566671NChQ9XTTz+tP59yyinaaGA8/fv3V1OmTFFjx45V27Zty+wLo5G0ercSr7q3cKS7Xl9eudKZ7npNIV+1aJE73fEakm/I8UIh8ZUdh0GmO15D8q3qeKvKF5JtKDbJGg/u18ycObP1+fnnn9c3lHFj+aWXXtKXVfLm8sSJE9XFF1+cyUvCEQ9F5Uu2mdgkazwwkAkTJrSlLVmyRB100EH66/QbbrhBp9nG89RTT6nBgwertWvXZvKzCTWekOvjpsW2eroSCsk3JBYKia8qNoWySCEWkm0mNh03nk4QajwU1WuSbSY2NJ4SCuktmhabQi8PhcRXFZtCWaQQC8k2ExsaD0VRGck2ExsaTwmF9BZNi02hl4dC4quKTaEsUoiFZJuJDY2HoqiMZJuJDY2nhEJ6i6bFptDLQyHxVcWmUBYpxEKyzcSGxkNRVEayzcSGxlNCIb1F02JT6OWhkPiqYlMoixRiIdlmYkPjoSgqI9lmYkPjKaGQ3qJpsSn08lBIfFWxKZRFCrGQbDOxofFQFJWRbDOxofGUUEhv0bTYFHp5KCS+qtgUyiKFWEi2mdjQeCiKyki2mdj0rPGYHqDMq0Gmu17Xr1/vTHe9ppDvk6tXu9MdryH5hhwvFBJf2XHc//+/cSPTHa8h+Rpkuus1hXwh2WZi07PGQ1GUX7LNxIbGU0KmFyijpsWmcF8DComvKjaFskghFpJtJjY0HoqiMpJtJjY0nhIK6S2aFptCLw+FxFcVm0JZpBALyTYTGxoPRVEZyTYTGxpPCYX0Fk2LTaGXh0Liq4pNoSxSiIVkm4kNjYeiqIxkm4kNjaeEQnqLpsWm0MtDIfFVxaZQFinEQrLNxIbGQ1FURrLNxIbGU0IhvUXTYlPo5aGQ+KpiUyiLFGIh2WZiQ+OhKCoj2WZiQ+MpoZDeommxKfTyUEh8VbEplEUKsZBsM7Gh8VAUlZFsM7Gh8ZRQSG/RtNgUenkoJL6q2BTKIoVYSLaZ2NB4KIrKSLaZ2PSs8ZgeoMyrQaa7XkN+9ySFfPl7PNYrf4+n9SrbTGx61ngoivJLtpnY0HhKyPQCZdS02BTua0Ah8VXFplAWKcRCss3EhsZDUVRGss3EhsZTQiG9RdNiU+jloZD4qmJTKIsUYiHZZmJD46EoKiPZZmJD4ymhkN6iabEp9PJQSHxVsSmURQqxkGwzsaHxUBSVkWwzsaHxlFBIb9G02BR6eSgkvqrYFMoihVhItpnY0HgoispItpnY0HhKKKS3aFpsCr08FBJfVWwKZZFCLCTbTGxoPBRFZSTbTGxoPCUU0ls0LTaFXh4Kia8qNoWySCEWkm0mNjQeiqIykm0mNjSeEgrpLZoWm0IvD4XEVxWbQlmkEAvJNhMbGg9FURnJNhObnjUe0wOUeTXIdNdryO+epJAvf4/HeuXv8bReZZuJTc8aD0VRfsk2ExsaTwmZXqCMmhabwn0NKCS+qtgUyiKFWEi2mdjQeCiKyki2mdjQeEoopLdoWmwKvTwUEl9VbAplkUIsJNtMbGg8FEVlJNtMbGg8JRTSWzQtNoVeHgqJryo2hbJIIRaSbSY2NB6KojKSbSY2NJ4SCuktmhabQi8PhcRXFZtCWaQQC8k2ExsaD0VRGck2ExsaTwmF9BZNi02hl4dC4quKTaEsUoiFZJuJDY2HoqiMZJuJDY2nhEJ6i6bFptDLQyHxVcWmUBYpxEKyzcSGxkNRVEayzcSGxlNCIb1F02JT6OWhkPiqYlMoixRiIdlmYkPjoSgqI9lmYtOzxmN6gDKvBpnueg353ZMU8uXv8Viv/D2e1qtsM7HpWeOhKMov2WZiQ+MpIdMLlFHTYlO4rwGFxFcVm0JZpBALyTYTGxoPRVEZyTYTGxpPCYX0Fk2LTaGXh0Liq4pNoSxSiIVkm4kNjYeiqIxkm4kNjaeEQnqLpsWm0MtDIfFVxaZQFinEQrLNxIbGQ1FURrLNxIbGU0IhvUXTYlPo5aGQ+KpiUyiLFGIh2WZiQ+OhKCoj2WZi0zHjuemmm9Tw4cM1ixcvzmyXuOI3bNigjjzyyExsEaHGE9JbNC02hV4eComvKjaFskghFpJtJjYdMZ4XXnhBHXDAAfr1xRdfVAceeKB67rnnMnFF8XUZD0X1mmSbiU1HjOfuu+9WkydP1u9feeUVNWLECLV69epMXFG8bTwYBY0ZM0Zt3bo1s78k1HhCeoumxabQy0Mh8VXFplAWKcRCss3EpiPGc/vtt6szzjhDbdq0SY0ePVoNGzZMLV++PBNXFG+M584779RpW7ZsyezrItR4KKrXJNtMbDpmPEcccYQaNWqUWrdunZo2bVqh8bjiYTxDhgxRAwYM0OYj9/MRajwhvUXTYlPo5aGQ+KpiUyiLFGIh2WZi0xHjueuuu9TQoUPV008/rT+fcsopucbhi4fx9O/fX02ZMkWNHTtWbdu2LbMvgNFIKIryS7ah2HTEeJ5//nl9gxg3il966SV9mWTfXMb9mpkzZxbG2/d4Jk6cqC6++OLM3/IB83n44Yd7HpbDdlgW20FZyDYTk44YD1iyZIk66KCD9NfjN9xwQ9s2GMiECRMK423jeeqpp9TgwYPV2rVrM3/LRdUF2xRYDtthWWyn6rLomPF0mqoLtimwHLbDsthO1WVB4+lxWA7bYVlsp+qyoPH0OCyH7bAstlN1WfSs8RBCOgeNhxBSO9GM5+abb1azZ89ufT7nnHP0Q37z58/X30YNHDhQg/dz587VMfimCl+Tg8suuyyTZ1lcE0htjjnmGDVv3rxMusSXjy89NXzHif8dD1qi7MHGjRsz+5bJx5eeIr5jxSMZZ555pk7/85//nNlP4svHl54irmO9/vrrW+cD2GWXXXIf4vXlk5eeR1Tj+dKXvtT6DOO55ZZbWp8vvfRS9d3vfrf1efPmzWr//ffXz+i8+uqr6rDDDlMPPvhgJt8ifBNIzXZ89Q7DKzIeXz6+dLl/p8k7zqlTp+Y+oFkmH1+63D8F8o4VD58uWLBA/ec//8nsJ/Hl40uX+6dAmWNFWRx88MF6HqTcvygfX7rcXxLNeJYtW9ZmPDNmzNBmZD5L47nuuuvUeeed1/r861//Wj3wwAOZfIvwTSDFZxTGIYccop8LksYDZ7YfUvTl40uXx9Fp8o5z0qRJ6qGHHsrsA7qtHIDvWJ999lm17777ep9w76WysGNuu+02PVCw06oui2jGs3TpUjVr1qzW5y9+8YvajMxnaTwXXHCBuuSSSzL5hOKbQIptOJ4bb7xRLVy4MGM88iFFXz6+dHkcnSbvODHP7cMf/rAeCstL2m4rB+A7Voz6Ro4cqcaNG6c7JHtEDnqpLOyYj33sY3oOpJ1WdVl0hfG4JpD+6U9/UuPHj9cxLuOR+PLxpcv9O03ecd5zzz3qn//8p76shfnkXdL68vGly/1TwHest956q/rABz6g5/w99thjaq+99lIvv/xyZv+ifHzpcv8UKDrWRx99VG+X+0l8+fjS5f6SaMazYsUKNX369NZn3FdYuXJl67M0HlxqzZkzp/UZQzbpumXwTSDFZR9OMtw4GzRokHrPe96jrrzyysz+Rfn40uX+ncZ3nLiswCWGiUO55N0A9OXjS5f7p4DvWH/5y1+2LgvAsccem3uD2ZePL13unwJFx4rbHVdffXVmP4kvH1+63F8SzXgw7d7cLDY3nDB/ymyXxoOhGeIR+69//Uu75h//+MdMvkX4JpDaMa4Rj7yG9eXjS5fH0Wl8x4kbh6aXf+211/Tctvvvv7+1X7eVA/AdK861/fbbT4/+wD777KO3m/16qSywDe0OZYBykftVXRbRjAfgYHEQGGXg0sveJo0H4P4LDAr7YLvMryyuCaQ2LuOR17B5+fjSU8N3nD/5yU90GsrZvqEPurEcgO9Y8YWHOefwNbC9T6+VBdofrkxkPKi6LKIaDyGElIHGQwipHRoPIaR2aDyEkNqh8RBCaofGQwipHRoPIaR2aDyEkNqh8RBCaofGQwipHRoPIaR2aDyEkNqh8RBCaofGQwipHRoPIaR2aDyEkNqh8RBCaofGQwipHRoPIaR2aDyEkNqp1Hh++tOf5q5bREjV8BxMk5bx9OvXLwiZkWTVqlXqmGOOyV2PmZQDyztjpQiZjmVrsE2ml8GXZzfBczBd2o1n7qZyFBjPq6++qvbee2+9SqHcRsL52te+pldolOmvx3h8eXYLPAfTphLjuf7669VnP/vZTPob3/hGvd7W+973PvXOd76zbWVPrOiI3untb3+7XvfINCisxYV1v3fffXe98uNHP/pRNWDAAL0qJLZjYbbPfe5zatddd1X77ruvXpFU/l0XWODuzW9+s14HCMeD97/73e8K83zkkUfUoYceqnbeeWf9P+6xxx56uWRsQ9qGDRtasVi99IEHHijMc/PmzXr9auyPxvKjH/1Ipz/00EPqbW97mz62N73pTfo9MPvlGY+vPIvyzDvOvPrDaqWf+MQndF5YNA9L2yL9qquu0uVlH9vpp5+uzjrrrMwxx6RXz8GmUInxnHDCCeqHP/xhJh2VjjXVt27dqlez7N+/v9qyZYvehpVEsZY6Vr689tprdaNFOir9k5/8pHrmmWfUjjvuqJdMXbBggTr11FNbfws9N3o4XM+/613vaq0OiYoxDcuwevVqvQ2Vjv8DC84jHqsq/vvf/y7M86ijjtLLAJtt+J/KGE9enlj2FXnif//973+vT/y///3vrXx8o5M84/GVZ1GeeceZV3+ooxkzZuj7Kffee6/abbfd9EqyWKUS/48pI5QzGtOaNWsyfzsmvXoONoVKjAerNJrewAYF9Pjjj7c+v//97285/F/+8hdd8HiPit9hhx30iYtKP/vss3U6TgQMnTEi+NSnPqVPavQSWEbV5ImeCZUh/7bEVDp6Fjs9L08szYr/wV7yFQ2syHjy8sT7M888U/duTzzxROvY0DBMrM8k8ozHV555eRYdp6/+sHwt8rf3wyqdJnbKlCm6oeD9rbfeqj70oQ+1/V0fZgRlGDt2bCbGR6+eg02hEuPZc889Wz29jax0NJzf/OY3+j0Wese63qaHwN/4xz/+kVvpWGv9DW94Q9vJudNOO+neSv5tial008MY8vLEUByVbMeXMZ68PBGHkwgNc9CgQeqDH/ygXhLW/hsukwB5xuMrz7w8i47TV38bN25Uu+yyS+YYDPfdd58uC5T1iSee2HZ5UxW9eg42hUqMZ+jQoc4G4av0bdu26ettNDhTCYgtqnQMfVEhppeSlBnmykrPyxM9EI4LPbxJsysd19oPPvhga5sxnrw8AYb8GDbj/T333JM5kTCsx6hI7ucznrzyzMuz6Dh99eca8eCS0VzCAKyt/eMf/1hfMthxVdGr52BTqMR4jj/+eLV48eJMuq/SUcBvectb9JD3tddeU9ddd53+G7jPkVfpSBs/frz6whe+oK9/n3zySXXuuefqm7Xyb0t8lV6UJ24uYnSCr2hXrFihb9CaSv/IRz6iF7vHe/z/yN/0unl5Hn744erb3/62Ht6jfHAT0+6tFy1apC9P8DexP8oI6T7jySvPojzzjtNXf3iPy6KZM2fq/P7whz+od7/73W1G973vfU+9973vbd0XqZpePQcB8hs3bpzz/+/rtthUYjzf//739TcXMt1X6XiPih44cKD+tgCVjG04CYoqHZWHO/twfTTY888/P/N3XeRVel6ef/vb39SIESP0DVPcAHzHO97RqvS1a9fqewvYD9vwDZUxkLw8cW8B9y9w0xWXCLjBaR8PTjCciLgRilHVX//6V52OMsJIA+VqQNljm688i/LMO868+kMv/fGPf1z36PhGSN7jwL0J3Jg18VXTq+cgwA1+1Ol3vvOdTL593RabSowHw8HBgwfrr1jltm6jicPcTrB+/Xp9+SPTq4LnYNpUYjwAQ/nJkyfra2e5rZtoYqXXDUZDuDy44oorMtuqhOdgulQ2ZQLg4TEMsWV6N9HESq8TjDxwiXXyySe37iPVCc/BNKl0kighhLig8RBCaqdRxoNvSvCtCZ55wXU77va7HovvJvC8Bh64c31D42LevHlqyJAh+rkZgIf7MG/JfAZ42G/58uVt+2GOEvbFezwEiQfpZN5VU1S/uEH9rW99K7NfNxJS7/hWDNMuULf4tgvfrsoYu35N/niOa/jw4fqhRKTVWe+NMx48s3DHHXfo+UB4yKrbjQcTLqdOnaqf9ZHbXCAWT+DKdAOeFTr44IPbfioCkxTxNXIKxtNr9esjpN5RRph/hveYJjJmzJi27bJ+AeYH4iFSnA8mrc56b5zxjBo1Sj9MNWfOHD1L2JyYKEQ4Pp6jueaaa3QanrfAszR4AAs3OfFchusxegkeoMLDcDK9E2DOFv6PMicgmDRpkp6BLtMNt912mzrnnHNanzFd45BDDtEPPrqMB2WBE9meO1YVvvrFTWnULWZp4/8z8Q8//LB+/gnz3FC3X/7ylzN5htDUesfMdTwLhvd4/mf//fdvbXPVLx4xQFnKb/vqrPfGGQ9+TgGFgxP0G9/4hj4xMTTHA1YoSPTkuNQwD2XhidkJEybor1Xnz5+fydMFKgn7yPROUfYEBJhhjQmFGEJfdtllme34+Y1169a1Ps+aNUvdeOONauHChRnjwchp2LBhbVMfqsRXv2Y7RkHSePA0NCZyor5hPuhkZL5laXK9G775zW/qcjOfXfWLeh05cqR+ShmmdMstt+j0Ouu9ccaD69KTTjpJY5+YuI+BQkTPiK9v4fxIhxnh+hYjIdfclyYQcgJirhdmO2OEB/Ox544hHxiT+YyvYPH0Mt5L44F54wnevMu22OTVL3AZD+rWfIapYrqGzLephNQ7wMjnsMMOa83789UvfiEAJo028thjj6m99tpLP7VcZ703znhwEw0/MrVy5Uo9wxon5qZNm3RB4kE1xOGRfWM8uIbFCEDe12gSZU9AmKz9pC7m89jzbs477zx19dVXt21HucGsMTMe0wFwQxMnIKZS4OcscCkjh+RV4atfs73IeDBasaeFNJ2y9Q4wpwyjFEynMGm++sV9IFwBmDg83IkbzHXWeyONx3w2JyZ6dQwdkQYHx4xg89szF110kR5uYv6J+U2YIlK61ge+E1AeJ0zW9GS4L4JhM2a+YxtGe/vss0/b77jYyBGPudafOHFia+Jr1fjq13yu2nhkeXaasvWODhWda948OLt+cQ7g5jVGxgDnBSaj1lnvXWE8eI9vADAX6LjjjtPDTdxgBShgfHWIhoivGvHrcTJfSVOu9V3HiR9wxyUWLi0xwjHpuM5HGck8DD7jgYFjzpPrK9rY+OrXvrmMCZHmJzZiG4+rPDtJ2XrHfUxMGLUfmcCjB/Y+dv2Cm2++WV8Z4DzBj7Yhrc56b5TxEEK6AxoPIaR2aDyEkNqh8RBCaofGQwipnUYaD74anz59eia9GwmZLGhjTwrEA2V4bgPfdmAVC/Nj477JhXXO2bHB18J4mE2m9xX8ZKlMawoh9e6rx7zJwa7JxHXWeyONZ/To0W3zUbqZkMmCBjkpEM99zJ49W7/H0inm5PJNLqzzBLSJbTx4YE6mNYWQevfVo42cHOyaTFxnvTfOePDwE57TwQNOZjo/nkPAKpYmBr/Oj+cU8B6/QIfnP/AkJpwdhSvzlMgHtDpJyGRB4JoUaLNq1arWMyC+yYV1Tha0yTMe1yRggLpHOp7hQgzSfvWrX+k0zHQ3PbrMz0VT691XjzZycrBrMnGd9d4441m2bJmehXz55Ze3JkHihMWJB1cHeI8ndTGFAitF4qcv0SCxPnUZ45EPaHWasicgcE0KBCgLPNWMn5rAqEfuZ08uNCdgHZMFbXzGkzcJGHWKusXnT3/6022TRENHPE2ud4OcJGqQk4Ndk4nrrPfGGQ/mkfziF7/Qox0zAQ7gWhj3LlBoZqE6DDsx2dDEoFDLGE9qlD0BfZMCbfBk89FHH92WJicXoozqmixo4zMe4JsEfNppp+llZvAkMyY62vuEGk9qlK13g6xHOx97cjBwTSaus94bZzzo4QBOUDwmbq5ZsbAdrnNxyWVunvaa8fgmBaKnM+tmAfyUhHnvmlyIMqprsqCNz3jyJgEDzEeDySLdXoe8l4zHVY8GOTnYN5m4znpvlPHgEsEe5WBkg3sWeI9CMsNHU2A4UfFDYDgZ0RvisquM8aR0rQ98J2DecdojHixUZ+ZArVmzpjXi8U0utK/1q54saOMzHt8kYFxiYTVUM9LBLGssnWz2w729J554IpOfj7zy7ARl691Xj8A1Odg3mbjOem+U8Vx44YVtP261dOnStgr46le/qubOndu2D5weBY8bZTipUZkyX0lTrvXzjtM2Htz/wNLB6BHxA1vmWt83udA+AaueLGiDBoQbwmgUBizRi22uScBIR/3iUgGxGO3avTS24dIB5mQv3+wjrzw7Qdl699UjtvkmB7smE9dZ740ynr6Aa1m84gYzDMi1XCwhpF663ni+8pWv6OcXcP2PEZLcTgipn643HkJIetB4CCG1Q+MhhNROo4wHy9Pgjj3mIQG8l99iuUhlsqBvMh9wTdrLm+TnwhfvS8c+nV5RUrJkyRL9TQtwLc/jIpX6zcM36RNTe/BtI76x+/rXv95Kx1QQ1AnA1+cyP4kvPjS9LhplPIZLL7006GRL5UGyvMl8rkl7NnKSXxG+eJne6RUlbTZv3qznGeFpWjx9i6/N7eV5fKRSv3n4Jn3i2TL835gThS9AHnnkEf3MDd7jFYYFE8a3sjJPgy8+NF3mWyVdYzyYkW16dDy7gLTUJgvmTeZzTdqzkZP8ivDF2+kprChpgwcd7R+ox9PoWPnVt2JoX+vXR1X1DnyTPtHoMbrFKg94DxPCeWKWn0EHgdGxeRrfhS8+NF3mWyVdYTx4mhVDVTg4eks0aDxmb7aH9ojyAa0qkJP5XJP2bOQkvyJ88XZ6CitK2lxwwQXqkksuyaQXrRgaWr8+qq53l/FgDbG3vvWt+vLXnA9IwyU5zmH8BAzqIO8S2xcfmi7zrZKuMB6McOw1s/DeLNkBYp2YsXBN5nNN2jPbXJP88vDFy/QUVpS0yTOevBVDU6tfH9J4cHmLRo//D/WOH2nDnDoYA+rJPGU+bdq0XGPwxYemy3yrpCuMB0NkaTyYrWw+p3Riuibz+Sbtmc9ykl8RvniZnsKKkja41JozZ07rMwwaDUMaj1w/K6X6zUMaD84FjDTNZ1zmod6x9htG8GYiLO7D5XUAvvjQdJlvlXSF8aAR4/IKl1rmxtnjjz/e2p7KZEHfZD7fpD1sc03yM7iO0xfvSsf7Tq8oaYOhv6lHHC96ZUwMLjKe0Pr14SrPmEjjwWUjfmkBl414jxEI7mlh9IP7Pbjxi/pAR2Xf/JXH6YsPTZfHWyVdYTwAXxmbr2Fxo9nelspkwbzJfK5Je8A3yQ+4jtMX70vv9IqSEhynOR7UM9KKjCe0fn24yjMm0ngA7quh4cNwcd/PpOOxApwfOCfk+ew6Tl98aHpdNNJ4CCHNhsZDCKkdGg8hpHZoPISQ2qHxEEJqh8ZDCKkdGg8hpHZoPISQ2qHxEEJqh8ZDCKkdGg8hpHZoPISQ2qHxEEJqh8ZDCKkdGg8hpHZoPISQ2qHxEEJqh8ZDCKkdGg8hpHZoPIQEgN+Dxm8V40f55bbXC/JE3vgbclu3kTEe/No8Fhizf5C87lUGy4A1qbA0C44P6xGZY5Q/DN5XsErFTjvt5Pxh9jLgx9Lxo+kyvYi89dV961271uXOy8dHSP55hOQzf/58fYwDBw7U4P3cuXO9+eStA+/DlY/veLDWmJ3/DjvsoNccM9v33nvvtrzxY/mzZ89ufcYqrTievP+raH14+TdCwf+I/xU/In/++ee3bZOLJHQKp/FgqRWZnhooXFPhWALFrIoQ03jsNY9C6avx+NZXz1vv2rUuty8fH6H5++hrPnLlkLx8DHIdeBd5+eQdD1i5cqUaP358W5o0BRiPvaYbjMesyArk/1VmfXj5N0LAEklYjx3/LzoftIU77rijtT2VNciCjGfhwoV6/Wqs5IhKM2t9L1iwQDs6KvWaa67RaagMLAa3xx57qJNPPlmvUom1rrHt5z//uTr00EP1PnLNJrlmUBlWrVrVWu4DxoMe/jOf+Yxeb8k+KULwGY9vHW+AZVbwN1HZqHzbeMr+X7711fPWu3aty+3Lx0do/j76mo9soHn5GFzrw8tyzssn73iMqclloKUpLFu2rO0cmzFjhjYj81n+X7714fP+RghYiRTro5m17nG+YpHGvHXmXe0R++EzljjG8fzgBz9o+zuynEMJNh5UBhYBM2lwbQznsNokKhbrG8FpURlYI+miiy5SF154oV7ZE40UC8dhNIDeB3FHHXWULhiTn2vNIB/PPPOMPlZcEmHUgzQUGIa2WCQNhY/t6GXkvkXIS63Pf/7zrfxd63jjWFBBZsG0Pffcs814Qv4vg72+etF6174GJPPx8Xryj5GPbKBF+QDX+vCynIvy8R0POtDTTjstky5NYenSpWrWrFmtzxhlwozMZ/l/+ZZpzvsboZx11ll6EACzkKNBOeLxtUec5+g8kY6Oa9CgQfocN/vJcg7FaTz2PZ4TTjihtQ3GM2/evEwmuO7G6ADxO+64oz5QGA+GnFdccYUufCxYd+6552p33W233Vr5w6hWrFiRyTME5H300Ufr9/JS6/jjj1f33XdfZp8i8kY8rnW88X8ZcwJ9vdQyyPXVi9a79jUgmQ/Aaqam/M1ooC/5x8oHyAZaJh/X+vCSMvnI48H68Ri5uhYHlKaQovEArFZ74okn6qWKbcOQxuNrj/I8R/3ikl3+nb7iNJ68EY80HvQkiDf/HK6n84wH/5RtZn0FJxGGleYzRiF4lQU2adIkde+992b2L6Ks8ZhVLX/2s59FMx7X+upF6127GpArHx99yd9FX/ORDbQoH7kOvI+ifFzHgxGiuREskaaA83n69Omtz7hnhHtD5rP8v3zrw+f9jRDQJuwvEs4+++zWiqxAGo+vPcrzPDnjwY2xkSNH6ve4+7/zzjvryxCf8eAEwD9v7j9cfvnl6tlnn23lV/baERWIITTer1mzxjviqct4YLy4tsbQFT1mX+/x+NZXL1rvWjYgXz4+QvP30dd8ZAPNy8e1DrxBlnNePq7jwbmLho/9ZN5AmgIus83NYnMjG3mY7fL/8q0Pn/c3QkBbwLe85nbISSedpBYtWtTaLteZ97VHnOcoY5xHrkstWc6hvG7jAXB59CrHHXecHtbjprPPeBCP4S9OBhQCrkftZyLKXjvievTUU0/VJ5IZRiNdGoM0HvxvGzduzOQnkfd4AAxG5m+v433ttdfq/2ncuHH65OrLPZ689dXz1ruWDSgvHx8h+efRl3xkA83Lx7cOPHCVsy8fII8H5bbrrru2ldtvf/vb1naXKaAR4nxGLC697G2u/8u1PryN62+UPW8B2imOBW0DozG7fbnWmXe1R5znOA58G4r4q666qu1vuMo5hIzxdDu77767HpXIdELK4DKF2Lj+Rt3nrexgY9NTxgOHxzW+TCekLJ14crkT5y2NhxDSddB4CCG14zQe1xwWQgiJhdN4iuawEELI68FpPK45LHlzrwghJASn8QCX8bjmXsn9CCGkiCDj8T0QSAghIdB4CCG1Q+MhhNQOjYcQUjte4yGEkKqg8RBCaofGQwipnf8DMDku4xXK228AAAAASUVORK5CYII=) |
name,requestLatency,:eq,
:sum,
name,requestsPerSecond,:eq,
:max,
(,name,),:by
| name,requestLatency,:eq,
:sum,
name,requestsPerSecond,:eq,
:max,
(,name,),:by,
:fsub
|