analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9057d74a-cf6c-46ff-8741-04fe572bfb6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import ScalarFormatter\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "\n",
    "sns.set_theme(style=\"ticks\")\n",
    "BASE_DIR=Path('/home/brabier/github/gateways-benchmark/federation-v1/scenarios/constant-vus-over-time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a0e2d632-3e73-4723-a66e-c9484cc1a418",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/brabier/github/gateways-benchmark/federation-v1/scenarios/constant-vus-over-time/1core-nhost-results/images\n",
      "[Errno 2] No such file or directory: '/home/brabier/github/gateways-benchmark/federation-v1/scenarios/constant-vus-over-time/1core-nhost-results/images/k6_summary.json'\n",
      "/home/brabier/github/gateways-benchmark/federation-v1/scenarios/constant-vus-over-time/1core-nhost-results/grafbase-latest_1400\n",
      "[Errno 2] No such file or directory: '/home/brabier/github/gateways-benchmark/federation-v1/scenarios/constant-vus-over-time/1core-nhost-results/grafbase-latest_1400/k6_summary.json'\n",
      "Apollo Router with traffic shaping\n",
      "100 200 225 250 255 260 265 275 300 325 350 360 365 370 400 500\n",
      "apollo-router2-ts\n",
      "100 200 300 350 370\n",
      "Cosmo Router\n",
      "100 200 250 300 310 325 350 375 380 400 405 410 425 450 500\n",
      "apollo-router2\n",
      "100 200 250 300 310\n",
      "Mesh\n",
      "100 150 200 210 220 230 240 245 250 255 260 270 280 290\n",
      "Apollo Router\n",
      "100 200 250 300 305 310 315 400\n",
      "Grafbase Gateway\n",
      "100 200 300 400 500 600 700 800 900 1000 1100 1200 1210 1220 1300\n",
      "Cosmo2\n",
      "100 200 300 400\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>max_ram</th>\n",
       "      <th>max_cpu</th>\n",
       "      <th>median</th>\n",
       "      <th>p99</th>\n",
       "      <th>rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gateway</th>\n",
       "      <th>vus</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">Apollo Router</th>\n",
       "      <th>100</th>\n",
       "      <td>62.51</td>\n",
       "      <td>35.24</td>\n",
       "      <td>3.410</td>\n",
       "      <td>3.877</td>\n",
       "      <td>100.010387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>63.10</td>\n",
       "      <td>68.18</td>\n",
       "      <td>3.444</td>\n",
       "      <td>3.901</td>\n",
       "      <td>200.004087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>63.31</td>\n",
       "      <td>84.48</td>\n",
       "      <td>3.380</td>\n",
       "      <td>4.153</td>\n",
       "      <td>250.000653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>62.85</td>\n",
       "      <td>99.01</td>\n",
       "      <td>3.544</td>\n",
       "      <td>10.132</td>\n",
       "      <td>299.079638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>63.42</td>\n",
       "      <td>99.36</td>\n",
       "      <td>3.791</td>\n",
       "      <td>10.896</td>\n",
       "      <td>303.897879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>64.48</td>\n",
       "      <td>100.09</td>\n",
       "      <td>4.369</td>\n",
       "      <td>11.739</td>\n",
       "      <td>308.194189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>62.94</td>\n",
       "      <td>100.22</td>\n",
       "      <td>5.096</td>\n",
       "      <td>11.688</td>\n",
       "      <td>312.974025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>74.80</td>\n",
       "      <td>102.58</td>\n",
       "      <td>27.333</td>\n",
       "      <td>41.122</td>\n",
       "      <td>326.946735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"16\" valign=\"top\">Apollo Router with traffic shaping</th>\n",
       "      <th>100</th>\n",
       "      <td>59.15</td>\n",
       "      <td>38.88</td>\n",
       "      <td>3.676</td>\n",
       "      <td>4.317</td>\n",
       "      <td>100.009459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>62.29</td>\n",
       "      <td>74.14</td>\n",
       "      <td>3.726</td>\n",
       "      <td>4.049</td>\n",
       "      <td>200.004207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>60.61</td>\n",
       "      <td>85.00</td>\n",
       "      <td>3.706</td>\n",
       "      <td>4.263</td>\n",
       "      <td>225.002259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>64.82</td>\n",
       "      <td>94.05</td>\n",
       "      <td>3.689</td>\n",
       "      <td>7.279</td>\n",
       "      <td>249.998172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>63.38</td>\n",
       "      <td>94.90</td>\n",
       "      <td>3.671</td>\n",
       "      <td>8.379</td>\n",
       "      <td>254.997902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>63.85</td>\n",
       "      <td>96.58</td>\n",
       "      <td>3.760</td>\n",
       "      <td>11.073</td>\n",
       "      <td>259.998622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>65.18</td>\n",
       "      <td>98.47</td>\n",
       "      <td>3.787</td>\n",
       "      <td>13.706</td>\n",
       "      <td>264.997151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>65.79</td>\n",
       "      <td>101.08</td>\n",
       "      <td>4.067</td>\n",
       "      <td>17.206</td>\n",
       "      <td>274.993585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>71.41</td>\n",
       "      <td>102.60</td>\n",
       "      <td>7.878</td>\n",
       "      <td>32.710</td>\n",
       "      <td>299.983976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>72.32</td>\n",
       "      <td>101.70</td>\n",
       "      <td>11.918</td>\n",
       "      <td>37.029</td>\n",
       "      <td>324.851790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>76.62</td>\n",
       "      <td>102.32</td>\n",
       "      <td>18.204</td>\n",
       "      <td>50.535</td>\n",
       "      <td>348.930059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>80.39</td>\n",
       "      <td>101.18</td>\n",
       "      <td>21.705</td>\n",
       "      <td>50.610</td>\n",
       "      <td>358.884768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>78.09</td>\n",
       "      <td>101.84</td>\n",
       "      <td>23.516</td>\n",
       "      <td>53.410</td>\n",
       "      <td>363.283034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>81.18</td>\n",
       "      <td>102.75</td>\n",
       "      <td>26.168</td>\n",
       "      <td>59.178</td>\n",
       "      <td>367.785381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>83.95</td>\n",
       "      <td>101.88</td>\n",
       "      <td>43.869</td>\n",
       "      <td>67.843</td>\n",
       "      <td>379.378192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>90.33</td>\n",
       "      <td>102.62</td>\n",
       "      <td>46.584</td>\n",
       "      <td>68.462</td>\n",
       "      <td>384.424986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">Cosmo Router</th>\n",
       "      <th>100</th>\n",
       "      <td>21.10</td>\n",
       "      <td>27.37</td>\n",
       "      <td>3.300</td>\n",
       "      <td>4.576</td>\n",
       "      <td>100.010745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>22.28</td>\n",
       "      <td>54.30</td>\n",
       "      <td>3.291</td>\n",
       "      <td>4.664</td>\n",
       "      <td>199.998115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>23.04</td>\n",
       "      <td>67.51</td>\n",
       "      <td>3.314</td>\n",
       "      <td>5.260</td>\n",
       "      <td>249.998012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>24.21</td>\n",
       "      <td>80.04</td>\n",
       "      <td>3.438</td>\n",
       "      <td>6.283</td>\n",
       "      <td>299.999925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>24.75</td>\n",
       "      <td>83.11</td>\n",
       "      <td>3.518</td>\n",
       "      <td>7.248</td>\n",
       "      <td>309.997438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>26.92</td>\n",
       "      <td>88.92</td>\n",
       "      <td>3.757</td>\n",
       "      <td>27.173</td>\n",
       "      <td>324.996505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>26.23</td>\n",
       "      <td>91.73</td>\n",
       "      <td>4.253</td>\n",
       "      <td>37.912</td>\n",
       "      <td>349.860827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>30.10</td>\n",
       "      <td>96.30</td>\n",
       "      <td>5.244</td>\n",
       "      <td>42.997</td>\n",
       "      <td>374.236668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>33.25</td>\n",
       "      <td>98.50</td>\n",
       "      <td>5.738</td>\n",
       "      <td>45.472</td>\n",
       "      <td>379.178739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>32.30</td>\n",
       "      <td>98.24</td>\n",
       "      <td>6.060</td>\n",
       "      <td>46.307</td>\n",
       "      <td>398.200512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>43.68</td>\n",
       "      <td>99.86</td>\n",
       "      <td>6.393</td>\n",
       "      <td>49.840</td>\n",
       "      <td>402.202322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>46.45</td>\n",
       "      <td>98.85</td>\n",
       "      <td>6.546</td>\n",
       "      <td>53.553</td>\n",
       "      <td>405.520160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>47.77</td>\n",
       "      <td>99.87</td>\n",
       "      <td>8.379</td>\n",
       "      <td>52.438</td>\n",
       "      <td>420.431794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>40.25</td>\n",
       "      <td>100.26</td>\n",
       "      <td>13.519</td>\n",
       "      <td>53.193</td>\n",
       "      <td>443.454152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>49.87</td>\n",
       "      <td>100.34</td>\n",
       "      <td>33.720</td>\n",
       "      <td>56.224</td>\n",
       "      <td>477.598044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Cosmo2</th>\n",
       "      <th>100</th>\n",
       "      <td>19.45</td>\n",
       "      <td>28.55</td>\n",
       "      <td>3.336</td>\n",
       "      <td>4.657</td>\n",
       "      <td>100.009857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>20.93</td>\n",
       "      <td>57.71</td>\n",
       "      <td>3.316</td>\n",
       "      <td>4.700</td>\n",
       "      <td>199.999060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>22.25</td>\n",
       "      <td>83.74</td>\n",
       "      <td>3.528</td>\n",
       "      <td>8.331</td>\n",
       "      <td>299.999928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>34.87</td>\n",
       "      <td>98.02</td>\n",
       "      <td>6.435</td>\n",
       "      <td>49.217</td>\n",
       "      <td>397.735297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">Grafbase Gateway</th>\n",
       "      <th>100</th>\n",
       "      <td>10.18</td>\n",
       "      <td>9.87</td>\n",
       "      <td>1.957</td>\n",
       "      <td>2.251</td>\n",
       "      <td>100.012529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>10.11</td>\n",
       "      <td>18.51</td>\n",
       "      <td>1.955</td>\n",
       "      <td>2.275</td>\n",
       "      <td>200.008954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>10.52</td>\n",
       "      <td>28.16</td>\n",
       "      <td>1.964</td>\n",
       "      <td>2.288</td>\n",
       "      <td>299.998166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>11.62</td>\n",
       "      <td>35.73</td>\n",
       "      <td>1.941</td>\n",
       "      <td>2.306</td>\n",
       "      <td>400.002249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>11.95</td>\n",
       "      <td>45.77</td>\n",
       "      <td>1.970</td>\n",
       "      <td>2.448</td>\n",
       "      <td>499.999887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>12.08</td>\n",
       "      <td>54.72</td>\n",
       "      <td>2.013</td>\n",
       "      <td>2.623</td>\n",
       "      <td>599.994024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>700</th>\n",
       "      <td>12.38</td>\n",
       "      <td>63.77</td>\n",
       "      <td>2.030</td>\n",
       "      <td>2.846</td>\n",
       "      <td>699.989669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>13.12</td>\n",
       "      <td>71.56</td>\n",
       "      <td>2.164</td>\n",
       "      <td>3.074</td>\n",
       "      <td>799.983012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>13.68</td>\n",
       "      <td>79.05</td>\n",
       "      <td>2.296</td>\n",
       "      <td>3.326</td>\n",
       "      <td>899.985786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>15.85</td>\n",
       "      <td>88.47</td>\n",
       "      <td>2.400</td>\n",
       "      <td>3.993</td>\n",
       "      <td>999.956653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>19.93</td>\n",
       "      <td>95.78</td>\n",
       "      <td>2.571</td>\n",
       "      <td>6.871</td>\n",
       "      <td>1099.609489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1200</th>\n",
       "      <td>26.73</td>\n",
       "      <td>98.90</td>\n",
       "      <td>2.873</td>\n",
       "      <td>13.078</td>\n",
       "      <td>1198.390746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>22.68</td>\n",
       "      <td>100.70</td>\n",
       "      <td>2.993</td>\n",
       "      <td>14.538</td>\n",
       "      <td>1208.022595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1220</th>\n",
       "      <td>24.31</td>\n",
       "      <td>99.92</td>\n",
       "      <td>3.107</td>\n",
       "      <td>15.245</td>\n",
       "      <td>1217.177579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>28.47</td>\n",
       "      <td>102.35</td>\n",
       "      <td>9.374</td>\n",
       "      <td>17.452</td>\n",
       "      <td>1274.483578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">Mesh</th>\n",
       "      <th>100</th>\n",
       "      <td>165.60</td>\n",
       "      <td>54.90</td>\n",
       "      <td>3.752</td>\n",
       "      <td>4.697</td>\n",
       "      <td>100.010187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>168.60</td>\n",
       "      <td>68.35</td>\n",
       "      <td>3.259</td>\n",
       "      <td>4.689</td>\n",
       "      <td>150.007913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>172.00</td>\n",
       "      <td>82.10</td>\n",
       "      <td>3.087</td>\n",
       "      <td>4.651</td>\n",
       "      <td>200.006147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>175.90</td>\n",
       "      <td>88.27</td>\n",
       "      <td>3.071</td>\n",
       "      <td>5.121</td>\n",
       "      <td>210.004774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>173.30</td>\n",
       "      <td>95.91</td>\n",
       "      <td>3.095</td>\n",
       "      <td>6.825</td>\n",
       "      <td>219.853849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>176.70</td>\n",
       "      <td>98.72</td>\n",
       "      <td>3.117</td>\n",
       "      <td>16.323</td>\n",
       "      <td>229.104007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>175.20</td>\n",
       "      <td>100.49</td>\n",
       "      <td>2.957</td>\n",
       "      <td>15.315</td>\n",
       "      <td>239.136862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>177.00</td>\n",
       "      <td>101.07</td>\n",
       "      <td>3.018</td>\n",
       "      <td>16.767</td>\n",
       "      <td>243.771079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>180.60</td>\n",
       "      <td>101.22</td>\n",
       "      <td>2.933</td>\n",
       "      <td>26.725</td>\n",
       "      <td>246.219555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>180.60</td>\n",
       "      <td>102.35</td>\n",
       "      <td>3.056</td>\n",
       "      <td>26.535</td>\n",
       "      <td>251.135160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>183.70</td>\n",
       "      <td>101.72</td>\n",
       "      <td>3.073</td>\n",
       "      <td>18.789</td>\n",
       "      <td>256.352343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>183.50</td>\n",
       "      <td>101.47</td>\n",
       "      <td>3.204</td>\n",
       "      <td>23.288</td>\n",
       "      <td>262.686288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>178.70</td>\n",
       "      <td>102.02</td>\n",
       "      <td>3.353</td>\n",
       "      <td>22.391</td>\n",
       "      <td>266.615398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>179.00</td>\n",
       "      <td>101.55</td>\n",
       "      <td>3.794</td>\n",
       "      <td>26.599</td>\n",
       "      <td>264.042989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">apollo-router2</th>\n",
       "      <th>100</th>\n",
       "      <td>66.96</td>\n",
       "      <td>35.36</td>\n",
       "      <td>3.373</td>\n",
       "      <td>3.881</td>\n",
       "      <td>100.009933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>63.08</td>\n",
       "      <td>67.85</td>\n",
       "      <td>3.454</td>\n",
       "      <td>3.841</td>\n",
       "      <td>200.004791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>63.00</td>\n",
       "      <td>85.40</td>\n",
       "      <td>3.438</td>\n",
       "      <td>4.811</td>\n",
       "      <td>249.998927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>72.31</td>\n",
       "      <td>99.69</td>\n",
       "      <td>3.581</td>\n",
       "      <td>25.588</td>\n",
       "      <td>299.990056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>82.70</td>\n",
       "      <td>100.21</td>\n",
       "      <td>4.359</td>\n",
       "      <td>61.967</td>\n",
       "      <td>309.693980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">apollo-router2-ts</th>\n",
       "      <th>100</th>\n",
       "      <td>59.52</td>\n",
       "      <td>40.03</td>\n",
       "      <td>3.727</td>\n",
       "      <td>4.152</td>\n",
       "      <td>100.010132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>61.26</td>\n",
       "      <td>75.94</td>\n",
       "      <td>3.654</td>\n",
       "      <td>4.748</td>\n",
       "      <td>200.002753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>69.50</td>\n",
       "      <td>102.29</td>\n",
       "      <td>8.331</td>\n",
       "      <td>28.255</td>\n",
       "      <td>299.983085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>74.53</td>\n",
       "      <td>102.44</td>\n",
       "      <td>16.269</td>\n",
       "      <td>40.534</td>\n",
       "      <td>349.818462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>78.23</td>\n",
       "      <td>102.03</td>\n",
       "      <td>22.543</td>\n",
       "      <td>50.059</td>\n",
       "      <td>368.722321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         max_ram  max_cpu  median     p99  \\\n",
       "Gateway                            vus                                      \n",
       "Apollo Router                      100     62.51    35.24   3.410   3.877   \n",
       "                                   200     63.10    68.18   3.444   3.901   \n",
       "                                   250     63.31    84.48   3.380   4.153   \n",
       "                                   300     62.85    99.01   3.544  10.132   \n",
       "                                   305     63.42    99.36   3.791  10.896   \n",
       "                                   310     64.48   100.09   4.369  11.739   \n",
       "                                   315     62.94   100.22   5.096  11.688   \n",
       "                                   400     74.80   102.58  27.333  41.122   \n",
       "Apollo Router with traffic shaping 100     59.15    38.88   3.676   4.317   \n",
       "                                   200     62.29    74.14   3.726   4.049   \n",
       "                                   225     60.61    85.00   3.706   4.263   \n",
       "                                   250     64.82    94.05   3.689   7.279   \n",
       "                                   255     63.38    94.90   3.671   8.379   \n",
       "                                   260     63.85    96.58   3.760  11.073   \n",
       "                                   265     65.18    98.47   3.787  13.706   \n",
       "                                   275     65.79   101.08   4.067  17.206   \n",
       "                                   300     71.41   102.60   7.878  32.710   \n",
       "                                   325     72.32   101.70  11.918  37.029   \n",
       "                                   350     76.62   102.32  18.204  50.535   \n",
       "                                   360     80.39   101.18  21.705  50.610   \n",
       "                                   365     78.09   101.84  23.516  53.410   \n",
       "                                   370     81.18   102.75  26.168  59.178   \n",
       "                                   400     83.95   101.88  43.869  67.843   \n",
       "                                   500     90.33   102.62  46.584  68.462   \n",
       "Cosmo Router                       100     21.10    27.37   3.300   4.576   \n",
       "                                   200     22.28    54.30   3.291   4.664   \n",
       "                                   250     23.04    67.51   3.314   5.260   \n",
       "                                   300     24.21    80.04   3.438   6.283   \n",
       "                                   310     24.75    83.11   3.518   7.248   \n",
       "                                   325     26.92    88.92   3.757  27.173   \n",
       "                                   350     26.23    91.73   4.253  37.912   \n",
       "                                   375     30.10    96.30   5.244  42.997   \n",
       "                                   380     33.25    98.50   5.738  45.472   \n",
       "                                   400     32.30    98.24   6.060  46.307   \n",
       "                                   405     43.68    99.86   6.393  49.840   \n",
       "                                   410     46.45    98.85   6.546  53.553   \n",
       "                                   425     47.77    99.87   8.379  52.438   \n",
       "                                   450     40.25   100.26  13.519  53.193   \n",
       "                                   500     49.87   100.34  33.720  56.224   \n",
       "Cosmo2                             100     19.45    28.55   3.336   4.657   \n",
       "                                   200     20.93    57.71   3.316   4.700   \n",
       "                                   300     22.25    83.74   3.528   8.331   \n",
       "                                   400     34.87    98.02   6.435  49.217   \n",
       "Grafbase Gateway                   100     10.18     9.87   1.957   2.251   \n",
       "                                   200     10.11    18.51   1.955   2.275   \n",
       "                                   300     10.52    28.16   1.964   2.288   \n",
       "                                   400     11.62    35.73   1.941   2.306   \n",
       "                                   500     11.95    45.77   1.970   2.448   \n",
       "                                   600     12.08    54.72   2.013   2.623   \n",
       "                                   700     12.38    63.77   2.030   2.846   \n",
       "                                   800     13.12    71.56   2.164   3.074   \n",
       "                                   900     13.68    79.05   2.296   3.326   \n",
       "                                   1000    15.85    88.47   2.400   3.993   \n",
       "                                   1100    19.93    95.78   2.571   6.871   \n",
       "                                   1200    26.73    98.90   2.873  13.078   \n",
       "                                   1210    22.68   100.70   2.993  14.538   \n",
       "                                   1220    24.31    99.92   3.107  15.245   \n",
       "                                   1300    28.47   102.35   9.374  17.452   \n",
       "Mesh                               100    165.60    54.90   3.752   4.697   \n",
       "                                   150    168.60    68.35   3.259   4.689   \n",
       "                                   200    172.00    82.10   3.087   4.651   \n",
       "                                   210    175.90    88.27   3.071   5.121   \n",
       "                                   220    173.30    95.91   3.095   6.825   \n",
       "                                   230    176.70    98.72   3.117  16.323   \n",
       "                                   240    175.20   100.49   2.957  15.315   \n",
       "                                   245    177.00   101.07   3.018  16.767   \n",
       "                                   250    180.60   101.22   2.933  26.725   \n",
       "                                   255    180.60   102.35   3.056  26.535   \n",
       "                                   260    183.70   101.72   3.073  18.789   \n",
       "                                   270    183.50   101.47   3.204  23.288   \n",
       "                                   280    178.70   102.02   3.353  22.391   \n",
       "                                   290    179.00   101.55   3.794  26.599   \n",
       "apollo-router2                     100     66.96    35.36   3.373   3.881   \n",
       "                                   200     63.08    67.85   3.454   3.841   \n",
       "                                   250     63.00    85.40   3.438   4.811   \n",
       "                                   300     72.31    99.69   3.581  25.588   \n",
       "                                   310     82.70   100.21   4.359  61.967   \n",
       "apollo-router2-ts                  100     59.52    40.03   3.727   4.152   \n",
       "                                   200     61.26    75.94   3.654   4.748   \n",
       "                                   300     69.50   102.29   8.331  28.255   \n",
       "                                   350     74.53   102.44  16.269  40.534   \n",
       "                                   370     78.23   102.03  22.543  50.059   \n",
       "\n",
       "                                                rate  \n",
       "Gateway                            vus                \n",
       "Apollo Router                      100    100.010387  \n",
       "                                   200    200.004087  \n",
       "                                   250    250.000653  \n",
       "                                   300    299.079638  \n",
       "                                   305    303.897879  \n",
       "                                   310    308.194189  \n",
       "                                   315    312.974025  \n",
       "                                   400    326.946735  \n",
       "Apollo Router with traffic shaping 100    100.009459  \n",
       "                                   200    200.004207  \n",
       "                                   225    225.002259  \n",
       "                                   250    249.998172  \n",
       "                                   255    254.997902  \n",
       "                                   260    259.998622  \n",
       "                                   265    264.997151  \n",
       "                                   275    274.993585  \n",
       "                                   300    299.983976  \n",
       "                                   325    324.851790  \n",
       "                                   350    348.930059  \n",
       "                                   360    358.884768  \n",
       "                                   365    363.283034  \n",
       "                                   370    367.785381  \n",
       "                                   400    379.378192  \n",
       "                                   500    384.424986  \n",
       "Cosmo Router                       100    100.010745  \n",
       "                                   200    199.998115  \n",
       "                                   250    249.998012  \n",
       "                                   300    299.999925  \n",
       "                                   310    309.997438  \n",
       "                                   325    324.996505  \n",
       "                                   350    349.860827  \n",
       "                                   375    374.236668  \n",
       "                                   380    379.178739  \n",
       "                                   400    398.200512  \n",
       "                                   405    402.202322  \n",
       "                                   410    405.520160  \n",
       "                                   425    420.431794  \n",
       "                                   450    443.454152  \n",
       "                                   500    477.598044  \n",
       "Cosmo2                             100    100.009857  \n",
       "                                   200    199.999060  \n",
       "                                   300    299.999928  \n",
       "                                   400    397.735297  \n",
       "Grafbase Gateway                   100    100.012529  \n",
       "                                   200    200.008954  \n",
       "                                   300    299.998166  \n",
       "                                   400    400.002249  \n",
       "                                   500    499.999887  \n",
       "                                   600    599.994024  \n",
       "                                   700    699.989669  \n",
       "                                   800    799.983012  \n",
       "                                   900    899.985786  \n",
       "                                   1000   999.956653  \n",
       "                                   1100  1099.609489  \n",
       "                                   1200  1198.390746  \n",
       "                                   1210  1208.022595  \n",
       "                                   1220  1217.177579  \n",
       "                                   1300  1274.483578  \n",
       "Mesh                               100    100.010187  \n",
       "                                   150    150.007913  \n",
       "                                   200    200.006147  \n",
       "                                   210    210.004774  \n",
       "                                   220    219.853849  \n",
       "                                   230    229.104007  \n",
       "                                   240    239.136862  \n",
       "                                   245    243.771079  \n",
       "                                   250    246.219555  \n",
       "                                   255    251.135160  \n",
       "                                   260    256.352343  \n",
       "                                   270    262.686288  \n",
       "                                   280    266.615398  \n",
       "                                   290    264.042989  \n",
       "apollo-router2                     100    100.009933  \n",
       "                                   200    200.004791  \n",
       "                                   250    249.998927  \n",
       "                                   300    299.990056  \n",
       "                                   310    309.693980  \n",
       "apollo-router2-ts                  100    100.010132  \n",
       "                                   200    200.002753  \n",
       "                                   300    299.983085  \n",
       "                                   350    349.818462  \n",
       "                                   370    368.722321  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GATEWAY_MAPPING = {\n",
    "    'grafbase': 'Grafbase Gateway old',\n",
    "    'grafbase-latest': 'Grafbase Gateway',\n",
    "    'cosmo': 'Cosmo Router',\n",
    "    'cosmo2': 'Cosmo2',\n",
    "    'apollo-router': 'Apollo Router with traffic shaping',\n",
    "    'apollo-router-no-ts': \"Apollo Router\",\n",
    "    'apollo-router2': 'apollo-router2',\n",
    "    'apollo-router2-ts': 'apollo-router2-ts',\n",
    "    'mesh-supergraph-bun': 'Mesh'\n",
    "}\n",
    "\n",
    "def load_result(path: Path):\n",
    "    import json\n",
    "    with open(path / \"k6_summary.json\") as f:\n",
    "        data = json.load(f)\n",
    "    metrics = data['metrics']\n",
    "    with open(path / \"stats.json\") as f:\n",
    "        data = []\n",
    "        for line in f:\n",
    "            try:\n",
    "                data.append(json.loads(line))\n",
    "            except:\n",
    "                pass\n",
    "    mem = max([float(d['MemUsage'].split('MiB')[0]) for d in data if d['MemUsage'] != '--'])\n",
    "    cpu = max([float(d['CPUPerc'][:-1]) for d in data if d['CPUPerc'] != '--'])\n",
    "\n",
    "    \n",
    "    (gateway, vus) = path.name.split('_')\n",
    "    return {\n",
    "        'Gateway': GATEWAY_MAPPING[gateway],\n",
    "        'vus': int(vus),\n",
    "        'max_ram': mem,\n",
    "        'max_cpu': cpu,\n",
    "        'median': metrics['iteration_duration']['values']['med'],\n",
    "        'p99': metrics['iteration_duration']['values']['p(99)'],\n",
    "        #'p999': metrics['iteration_duration']['values']['p(99.9)'],\n",
    "        #'p9999': metrics['iteration_duration']['values']['p(99.99)'],\n",
    "        #'count': metrics['iterations']['values']['count'],\n",
    "        'rate': metrics['iterations']['values']['rate'],\n",
    "    }\n",
    "    \n",
    "def load_results(path: Path):\n",
    "    records = []\n",
    "    for p in path.glob('*'):\n",
    "        if not p.name.startswith('grafbase_'):\n",
    "            try:\n",
    "                records.append(load_result(p))\n",
    "            except Exception as e:\n",
    "                print(p)\n",
    "                print(e)\n",
    "    grouped_by_gateway = {}\n",
    "    for row in records:\n",
    "        grouped_by_gateway.setdefault(row['Gateway'], []).append(row['vus'])\n",
    "    for (gateway, vus) in grouped_by_gateway.items():\n",
    "        print(gateway)\n",
    "        vus = sorted(vus)\n",
    "        print(\" \".join(map(str, vus)))\n",
    "    df = pd.DataFrame.from_records(records)\n",
    "    for k in ['median', 'p99']:\n",
    "        df[k] = pd.to_timedelta(df[k], unit='ms').astype('timedelta64[us]') / pd.Timedelta(milliseconds=1)\n",
    "    df = df.set_index(['Gateway', 'vus']).sort_index()\n",
    "    return df\n",
    "    \n",
    "pd.set_option('display.max_columns', None)  # or 1000\n",
    "pd.set_option('display.max_rows', None)  # or 1000\n",
    "pd.set_option('display.max_colwidth', None)  # or 199\n",
    "RESULTS_DIR = BASE_DIR / '1core-nhost-results'\n",
    "TITLE_SUFFIX = {\n",
    "    '1core-nhost-results': \"\",\n",
    "    '1core-nd-results': \" (10ms subgraph response delay)\",\n",
    "    '2core-nd-results': \" (2 CPU cores + 10ms subgraph response delay)\",\n",
    "    '8core-nd-results': ''\n",
    "}[RESULTS_DIR.name]\n",
    "IMAGES_DIR = RESULTS_DIR / 'images'\n",
    "IMAGES_DIR.mkdir(exist_ok=True)\n",
    "df = load_results(RESULTS_DIR)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "89a16370-2231-4edc-85e8-3f9aec9c3cf7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "| Gateway                            |   min p99 latency |   Throughput at 150% min p99 latency (req/s) |   Peak throughput |   Peak RAM (MiB) |\n",
      "|:-----------------------------------|------------------:|---------------------------------------------:|------------------:|-----------------:|\n",
      "| apollo-router2                     |               3.8 |                               252   (5.8 ms) |    310  (62.0 ms) |               83 |\n",
      "| Apollo Router                      |               3.9 |                               264   (5.8 ms) |    313  (11.7 ms) |               64 |\n",
      "| Apollo Router with traffic shaping |               4.0 |                               240   (6.1 ms) |    368  (59.2 ms) |               81 |\n",
      "| apollo-router2-ts                  |               4.2 |                               206   (6.2 ms) |    369  (50.1 ms) |               78 |\n",
      "| Cosmo Router                       |               4.6 |                               306   (6.9 ms) |    402  (49.8 ms) |               44 |\n",
      "| Cosmo2                             |               4.7 |                               263   (7.0 ms) |    398  (49.2 ms) |               35 |\n",
      "None\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "GATEWAY_ORDER = [\n",
    "    #'Grafbase Gateway', \n",
    "    'Cosmo Router', \n",
    "    'Cosmo2',\n",
    "    'Apollo Router with traffic shaping', \n",
    "    'Apollo Router', \n",
    "    'apollo-router2',\n",
    "    'apollo-router2-ts',\n",
    "    #'Mesh'\n",
    "]\n",
    "# TITLE_SUFFIX = \"\"\n",
    "\n",
    "def plot_custom(df):\n",
    "    df = df.copy(deep=True)\n",
    "    f, ax = plt.subplots(figsize=(8, 6))\n",
    "    sns.lineplot(x=\"rate\", y=\"p99\", sort=True, ax=ax, hue=\"Gateway\", style=\"Gateway\", hue_order=GATEWAY_ORDER, \n",
    "                 style_order=GATEWAY_ORDER, dashes=False, data=df, markers=True)\n",
    "    sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
    "    \n",
    "    f.suptitle(f\"p99 Latency vs Throughput{TITLE_SUFFIX}\", fontsize=13)\n",
    "    ax.set_xlabel('Throughput (req/s)')\n",
    "    ax.set_ylabel('p99 Latency (ms)')\n",
    "\n",
    "    # ax.set_yscale('log')\n",
    "    # ax.invert_yaxis()\n",
    "    sns.despine()\n",
    "    ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "    # ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "\n",
    "def plot_peak_ram(df):\n",
    "    df = df.copy(deep=True)\n",
    "    f, ax = plt.subplots(figsize=(8, 6))\n",
    "    sns.lineplot(x=\"rate\", y=\"max_ram\", sort=True, ax=ax, style=\"Gateway\", hue=\"Gateway\", \n",
    "                 style_order=GATEWAY_ORDER, hue_order=GATEWAY_ORDER, markers=True, data=df, dashes=False)\n",
    "    sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
    "    \n",
    "    f.suptitle(f\"Peak Memory usage{TITLE_SUFFIX}\", fontsize=13)\n",
    "    ax.set_xlabel('Throughput (req/s)')\n",
    "    ax.set_ylabel('Memory (MiB)')\n",
    "    \n",
    "    # ax.set_xscale('log')\n",
    "    sns.despine()\n",
    "    ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "\n",
    "def markdown(df):\n",
    "    df = df.copy(deep=True)\n",
    "    df['rate'] = df['rate'].round()\n",
    "    df['max_ram'] = df['max_ram'].round()\n",
    "\n",
    "    rows = []\n",
    "    for gateway in GATEWAY_ORDER:\n",
    "        df2 = df[df['Gateway'] == gateway].copy(deep=True)\n",
    "        min_latency = df2['p99'].min()\n",
    "        x = np.minimum(np.array([1.5, 2, 3]) * min_latency, df2['p99'].max())\n",
    "        [min_rate, x2_rate, x3_rate] = np.interp(x, df2['p99'], df2['rate'])\n",
    "        idx = df2['rate'].idxmax()\n",
    "        rows.append({\n",
    "            'Gateway': gateway,\n",
    "            'min p99 latency': min_latency.round(decimals=1),\n",
    "            'Throughput at 150% min p99 latency (req/s)': fmt_tl(min_rate.round(), x[0].round(decimals=1)), \n",
    "            #'200%': \"{} ({} ms)\".format(int(x2_rate.round()), x[1].round(decimals=1)), \n",
    "            #'300%': \"{} ({} ms)\".format(int(x3_rate.round()), x[2].round(decimals=1)),\n",
    "            'Peak throughput': fmt_tl(df2['rate'].max(), df2.loc[idx, 'p99'].round(decimals=1)),\n",
    "            'Peak RAM (MiB)': int(df2['max_ram'].max()),\n",
    "        })\n",
    "    print(pd.DataFrame.from_records(rows)\n",
    "          .sort_values('min p99 latency', ascending=True)\n",
    "          .to_markdown(index=False, colalign=['left', 'right', 'right', 'right', 'right'], disable_numparse=True))\n",
    "\n",
    "def fmt_tl(throughput, latency):\n",
    "    return \"{:.0f} {:>10}\".format(throughput.round(), \"({} ms)\".format(latency.round(decimals=1)))\n",
    "\n",
    "def plot_all(df):\n",
    "    df = df.copy(deep=True).reset_index()\n",
    "    df = df[df['Gateway'].isin(GATEWAY_ORDER)]\n",
    "    # df = df[(df['max_cpu'] < 200)]\n",
    "    df = df[(df['vus'] - df['rate']).abs() < 3]\n",
    "    plot_custom(df)\n",
    "    plt.savefig(IMAGES_DIR / 'latency_vs_throughput.png')\n",
    "    plot_peak_ram(df)\n",
    "    plt.savefig(IMAGES_DIR / 'peak_ram.png')\n",
    "    print(markdown(df))\n",
    "\n",
    "plot_all(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "47e7831d-6019-4022-b661-c8b71b32c0ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'CPU_LIMIT' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[62], line 17\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[38;5;66;03m# markdown(df, 15)\u001b[39;00m\n\u001b[1;32m     16\u001b[0m \u001b[38;5;28mprint\u001b[39m()\n\u001b[0;32m---> 17\u001b[0m \u001b[43mmarkdown\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1500\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[0;32mIn[62], line 3\u001b[0m, in \u001b[0;36mmarkdown\u001b[0;34m(df, latency)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmarkdown\u001b[39m(df, latency):\n\u001b[1;32m      2\u001b[0m     df \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39mcopy(deep\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m----> 3\u001b[0m     df \u001b[38;5;241m=\u001b[39m df[(df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_cpu\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m<\u001b[39m \u001b[43mCPU_LIMIT\u001b[49m) \u001b[38;5;241m&\u001b[39m (df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mp99\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m<\u001b[39m latency)]\u001b[38;5;241m.\u001b[39mreset_index()\n\u001b[1;32m      4\u001b[0m     idx \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGateway\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrate\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39midxmax()\n\u001b[1;32m      5\u001b[0m     df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrate\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrate\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mround()\n",
      "\u001b[0;31mNameError\u001b[0m: name 'CPU_LIMIT' is not defined"
     ]
    }
   ],
   "source": [
    "def markdown(df, latency):\n",
    "    df = df.copy(deep=True)\n",
    "    df = df[(df['max_cpu'] < CPU_LIMIT) & (df['p99'] < latency)].reset_index()\n",
    "    idx = df.groupby('Gateway')['rate'].idxmax()\n",
    "    df['rate'] = df['rate'].round()\n",
    "    df['max_ram'] = df['max_ram'].round()\n",
    "    df = df.loc[idx, ['Gateway', 'rate', 'max_ram', 'p99']]\n",
    "    df = df.rename(columns={\n",
    "        'rate': 'Rate (req/s)',\n",
    "        'max_ram': 'Peak RAM (MiB)',\n",
    "        'p99': 'p99 Latency (ms)'\n",
    "    })\n",
    "    print(df.to_markdown(index=False))\n",
    "    \n",
    "# markdown(df, 15)\n",
    "print()\n",
    "markdown(df, 1500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "724087c8-0e88-48ff-bbee-bf30e611c7ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_peak_ram(df):\n",
    "    df = df.copy(deep=True).reset_index()\n",
    "    df = df[df['Gateway'].isin(GATEWAY_ORDER)]\n",
    "    df = df[(df['vus'] - df['rate']).abs() < MAX_RATE_DIFF]\n",
    "    f, ax = plt.subplots(figsize=(8, 6))\n",
    "    sns.lineplot(x=\"rate\", y=\"max_ram\", sort=True, ax=ax, style=\"Gateway\", hue=\"Gateway\", style_order=GATEWAY_ORDER, hue_order=GATEWAY_ORDER, markers=True, data=df, dashes=False)\n",
    "    sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
    "    \n",
    "    f.suptitle(\"Peak Memory usage (10ms subgraph response delay)\", fontsize=13)\n",
    "    ax.set_xlabel('Throughput (req/s)')\n",
    "    ax.set_ylabel('Memory (MiB)')\n",
    "    \n",
    "    # ax.set_xscale('log')\n",
    "    sns.despine()\n",
    "    ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "\n",
    "plot_peak_ram(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1f886e77-cee5-4011-8c98-228fa8e5573d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_throughput(df):\n",
    "    df = df.copy(deep=True)\n",
    "    \n",
    "    f, ax = plt.subplots(figsize=(8, 6))\n",
    "    order = [\"grafbase\", \"cosmo\", \"apollo-router\", \"mesh-supergraph-bun\"]\n",
    "    sns.lineplot(x=\"vus\", y=\"rate\", sort=True, ax=ax, style=\"gateway\", hue=\"gateway\", style_order=order, hue_order=order, markers=True, data=df, dashes=False)\n",
    "    sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
    "    \n",
    "    f.suptitle(\"Request throughput over 60s with constant VUs on 1 CPU\", fontsize=13)\n",
    "    ax.set_xlabel('Virtual Users')\n",
    "    ax.set_ylabel('Throughput (req/s)')\n",
    "    \n",
    "    ax.set_xscale('log')\n",
    "    sns.despine(trim=True)\n",
    "    ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "\n",
    "plot_throughput(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c6ab7274-5a15-4a9e-8835-74bc7030cfd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gateway,rate,max_ram,p99\n",
      "Apollo Router,100,62,9.02\n",
      "Apollo Router,200,57,9.23\n",
      "Apollo Router,250,64,10.64\n",
      "Apollo Router,275,60,10.01\n",
      "Apollo Router,300,59,11.5\n",
      "Apollo Router,305,62,13.92\n",
      "Apollo Router,310,62,14.68\n",
      "Apollo Router,320,64,16.82\n",
      "Apollo Router,324,62,15.9\n",
      "Cosmo Router,100,20,8.87\n",
      "Cosmo Router,200,21,9.21\n",
      "Cosmo Router,250,25,11.2\n",
      "Cosmo Router,300,23,10.9\n",
      "Cosmo Router,310,23,11.7\n",
      "Cosmo Router,320,23,12.1\n",
      "Cosmo Router,330,32,13.46\n",
      "Cosmo Router,335,24,14.23\n",
      "Cosmo Router,340,24,17.2\n",
      "Cosmo Router,350,25,22.22\n",
      "Cosmo Router,397,28,37.64\n",
      "Cosmo Router,443,36,41.94\n",
      "Cosmo Router,456,39,43.42\n",
      "Grafbase Gateway,100,11,7.85\n",
      "Grafbase Gateway,200,11,7.79\n",
      "Grafbase Gateway,300,12,8.09\n",
      "Grafbase Gateway,400,12,8.33\n",
      "Grafbase Gateway,500,12,8.64\n",
      "Grafbase Gateway,600,12,9.11\n",
      "Grafbase Gateway,700,12,9.39\n",
      "Grafbase Gateway,800,14,9.82\n",
      "Grafbase Gateway,900,14,10.46\n",
      "Grafbase Gateway,950,15,11.2\n",
      "Grafbase Gateway,999,18,12.54\n",
      "Grafbase Gateway,1025,17,14.25\n",
      "Grafbase Gateway,1029,29,15.07\n",
      "Grafbase Gateway,1049,26,16.05\n",
      "Grafbase Gateway,1071,22,18.45\n",
      "Mesh,100,166,9.21\n",
      "Mesh,125,166,9.11\n",
      "Mesh,150,167,9.62\n",
      "Mesh,175,167,9.88\n",
      "Mesh,200,169,9.2\n",
      "Mesh,210,175,9.54\n",
      "Mesh,220,176,9.5\n",
      "Mesh,230,178,9.42\n",
      "Mesh,240,179,9.62\n",
      "Mesh,250,179,9.85\n",
      "\n"
     ]
    }
   ],
   "source": [
    "def csv(df):\n",
    "    df = df.copy(deep=True)\n",
    "    df = df[(df['max_cpu'] < 100)].reset_index()\n",
    "    df['p99'] = (df['p99'] / pd.Timedelta(1, unit='ms')).round(decimals=2)\n",
    "    df['rate'] = df['rate'].round().astype('int')\n",
    "    df['max_ram'] = df['max_ram'].round().astype('int')\n",
    "    print(df[['Gateway', 'rate', 'max_ram','p99']].to_csv(header=True,index=False))\n",
    "csv(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "74de1a30-bfad-4a2c-9e7f-2ec74f1e19aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "| gateway             |   p99 |   p999 |   rate |\n",
      "|:--------------------|------:|-------:|-------:|\n",
      "| apollo-router       |     9 |      9 |    147 |\n",
      "| cosmo               |     8 |      9 |    151 |\n",
      "| grafbase            |     7 |      7 |    188 |\n",
      "| mesh-supergraph-bun |     9 |     10 |    152 |\n"
     ]
    }
   ],
   "source": [
    "def human_friendly(df: pd.DataFrame) -> pd.DataFrame:\n",
    "    df = df.copy(deep=True).reset_index()\n",
    "    df = df[df['vus'] == 1]\n",
    "    df['max_ram'] = df['max_ram'].round(decimals=0)\n",
    "    df['rate'] = df['rate'].round(decimals=0)\n",
    "    for k in ['median', 'p99', 'p999', 'p9999']:\n",
    "        df[k] = df[k] / pd.Timedelta(milliseconds=1)\n",
    "    return df\n",
    "print(human_friendly(df)[['gateway', 'p99', 'p999', 'rate']].to_markdown(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e0753b1b-3bfd-4123-b268-d3cb0bd7fc48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>max_ram</th>\n",
       "      <th>median</th>\n",
       "      <th>p99</th>\n",
       "      <th>p999</th>\n",
       "      <th>p9999</th>\n",
       "      <th>count</th>\n",
       "      <th>rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gateway</th>\n",
       "      <th>vus</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">apollo-router</th>\n",
       "      <th>1</th>\n",
       "      <td>3.282609</td>\n",
       "      <td>0 days 00:00:00.006000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>0 days 00:00:00.013000</td>\n",
       "      <td>8838</td>\n",
       "      <td>1.275987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.544872</td>\n",
       "      <td>0 days 00:00:00.006000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>0 days 00:00:00.011000</td>\n",
       "      <td>0 days 00:00:00.015000</td>\n",
       "      <td>16820</td>\n",
       "      <td>1.233878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.172043</td>\n",
       "      <td>0 days 00:00:00.012000</td>\n",
       "      <td>0 days 00:00:00.018000</td>\n",
       "      <td>0 days 00:00:00.033000</td>\n",
       "      <td>0 days 00:00:00.036000</td>\n",
       "      <td>23052</td>\n",
       "      <td>1.857527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2.072398</td>\n",
       "      <td>0 days 00:00:00.023000</td>\n",
       "      <td>0 days 00:00:00.033000</td>\n",
       "      <td>0 days 00:00:00.045000</td>\n",
       "      <td>0 days 00:00:00.049000</td>\n",
       "      <td>25389</td>\n",
       "      <td>2.354839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2.051903</td>\n",
       "      <td>0 days 00:00:00.044000</td>\n",
       "      <td>0 days 00:00:00.063000</td>\n",
       "      <td>0 days 00:00:00.073000</td>\n",
       "      <td>0 days 00:00:00.081000</td>\n",
       "      <td>26844</td>\n",
       "      <td>2.443163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2.160377</td>\n",
       "      <td>0 days 00:00:00.117000</td>\n",
       "      <td>0 days 00:00:00.164000</td>\n",
       "      <td>0 days 00:00:00.184000</td>\n",
       "      <td>0 days 00:00:00.199000</td>\n",
       "      <td>25471</td>\n",
       "      <td>2.506741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>4.370748</td>\n",
       "      <td>0 days 00:00:00.240000</td>\n",
       "      <td>0 days 00:00:00.338000</td>\n",
       "      <td>0 days 00:00:00.381000</td>\n",
       "      <td>0 days 00:00:00.426000</td>\n",
       "      <td>24795</td>\n",
       "      <td>2.446126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1.987701</td>\n",
       "      <td>0 days 00:00:00.501000</td>\n",
       "      <td>0 days 00:00:00.700000</td>\n",
       "      <td>0 days 00:00:00.780000</td>\n",
       "      <td>0 days 00:00:00.869000</td>\n",
       "      <td>23849</td>\n",
       "      <td>2.334764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>1.405237</td>\n",
       "      <td>0 days 00:00:00.773000</td>\n",
       "      <td>0 days 00:00:01.145000</td>\n",
       "      <td>0 days 00:00:01.250000</td>\n",
       "      <td>0 days 00:00:01.375000</td>\n",
       "      <td>23200</td>\n",
       "      <td>2.331307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">cosmo</th>\n",
       "      <th>1</th>\n",
       "      <td>0.347826</td>\n",
       "      <td>0 days 00:00:00.006000</td>\n",
       "      <td>0 days 00:00:00.008000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>0 days 00:00:00.012000</td>\n",
       "      <td>9081</td>\n",
       "      <td>1.241935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.391026</td>\n",
       "      <td>0 days 00:00:00.007000</td>\n",
       "      <td>0 days 00:00:00.010000</td>\n",
       "      <td>0 days 00:00:00.011000</td>\n",
       "      <td>0 days 00:00:00.012000</td>\n",
       "      <td>14945</td>\n",
       "      <td>1.388608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.440860</td>\n",
       "      <td>0 days 00:00:00.012000</td>\n",
       "      <td>0 days 00:00:00.017000</td>\n",
       "      <td>0 days 00:00:00.030000</td>\n",
       "      <td>0 days 00:00:00.032000</td>\n",
       "      <td>24178</td>\n",
       "      <td>1.770898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.570136</td>\n",
       "      <td>0 days 00:00:00.020000</td>\n",
       "      <td>0 days 00:00:00.035000</td>\n",
       "      <td>0 days 00:00:00.043000</td>\n",
       "      <td>0 days 00:00:00.046000</td>\n",
       "      <td>29222</td>\n",
       "      <td>2.045614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.685121</td>\n",
       "      <td>0 days 00:00:00.037000</td>\n",
       "      <td>0 days 00:00:00.057000</td>\n",
       "      <td>0 days 00:00:00.064000</td>\n",
       "      <td>0 days 00:00:00.068000</td>\n",
       "      <td>31479</td>\n",
       "      <td>2.083759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1.297170</td>\n",
       "      <td>0 days 00:00:00.093000</td>\n",
       "      <td>0 days 00:00:00.124000</td>\n",
       "      <td>0 days 00:00:00.140000</td>\n",
       "      <td>0 days 00:00:00.145000</td>\n",
       "      <td>31692</td>\n",
       "      <td>2.013543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>4.653061</td>\n",
       "      <td>0 days 00:00:00.189000</td>\n",
       "      <td>0 days 00:00:00.241000</td>\n",
       "      <td>0 days 00:00:00.260000</td>\n",
       "      <td>0 days 00:00:00.274000</td>\n",
       "      <td>31506</td>\n",
       "      <td>1.924534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2.144749</td>\n",
       "      <td>0 days 00:00:00.395000</td>\n",
       "      <td>0 days 00:00:00.526000</td>\n",
       "      <td>0 days 00:00:00.599000</td>\n",
       "      <td>0 days 00:00:00.621000</td>\n",
       "      <td>30262</td>\n",
       "      <td>1.837752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>1.986908</td>\n",
       "      <td>0 days 00:00:00.596000</td>\n",
       "      <td>0 days 00:00:00.807000</td>\n",
       "      <td>0 days 00:00:01.018000</td>\n",
       "      <td>0 days 00:00:01.078000</td>\n",
       "      <td>30037</td>\n",
       "      <td>1.794209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">grafbase</th>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.005000</td>\n",
       "      <td>0 days 00:00:00.007000</td>\n",
       "      <td>0 days 00:00:00.007000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>11277</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.005000</td>\n",
       "      <td>0 days 00:00:00.008000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>0 days 00:00:00.010000</td>\n",
       "      <td>20754</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.006000</td>\n",
       "      <td>0 days 00:00:00.010000</td>\n",
       "      <td>0 days 00:00:00.011000</td>\n",
       "      <td>0 days 00:00:00.016000</td>\n",
       "      <td>42815</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.010000</td>\n",
       "      <td>0 days 00:00:00.015000</td>\n",
       "      <td>0 days 00:00:00.016000</td>\n",
       "      <td>0 days 00:00:00.017000</td>\n",
       "      <td>59776</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.018000</td>\n",
       "      <td>0 days 00:00:00.024000</td>\n",
       "      <td>0 days 00:00:00.033000</td>\n",
       "      <td>0 days 00:00:00.049000</td>\n",
       "      <td>65569</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.046000</td>\n",
       "      <td>0 days 00:00:00.065000</td>\n",
       "      <td>0 days 00:00:00.077000</td>\n",
       "      <td>0 days 00:00:00.106000</td>\n",
       "      <td>63788</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.097000</td>\n",
       "      <td>0 days 00:00:00.152000</td>\n",
       "      <td>0 days 00:00:00.181000</td>\n",
       "      <td>0 days 00:00:00.220000</td>\n",
       "      <td>60579</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.214000</td>\n",
       "      <td>0 days 00:00:00.386000</td>\n",
       "      <td>0 days 00:00:00.462000</td>\n",
       "      <td>0 days 00:00:00.526000</td>\n",
       "      <td>55541</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0 days 00:00:00.337000</td>\n",
       "      <td>0 days 00:00:00.626000</td>\n",
       "      <td>0 days 00:00:00.735000</td>\n",
       "      <td>0 days 00:00:00.834000</td>\n",
       "      <td>53835</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">mesh-supergraph-bun</th>\n",
       "      <th>1</th>\n",
       "      <td>10.362319</td>\n",
       "      <td>0 days 00:00:00.006000</td>\n",
       "      <td>0 days 00:00:00.009000</td>\n",
       "      <td>0 days 00:00:00.010000</td>\n",
       "      <td>0 days 00:00:00.045000</td>\n",
       "      <td>9136</td>\n",
       "      <td>1.234389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.775641</td>\n",
       "      <td>0 days 00:00:00.006000</td>\n",
       "      <td>0 days 00:00:00.010000</td>\n",
       "      <td>0 days 00:00:00.021000</td>\n",
       "      <td>0 days 00:00:00.027000</td>\n",
       "      <td>17280</td>\n",
       "      <td>1.201044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.387097</td>\n",
       "      <td>0 days 00:00:00.014000</td>\n",
       "      <td>0 days 00:00:00.049000</td>\n",
       "      <td>0 days 00:00:00.054000</td>\n",
       "      <td>0 days 00:00:00.055000</td>\n",
       "      <td>15284</td>\n",
       "      <td>2.801603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>7.294118</td>\n",
       "      <td>0 days 00:00:00.036000</td>\n",
       "      <td>0 days 00:00:00.080000</td>\n",
       "      <td>0 days 00:00:00.090000</td>\n",
       "      <td>0 days 00:00:00.098000</td>\n",
       "      <td>14874</td>\n",
       "      <td>4.020122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.878893</td>\n",
       "      <td>0 days 00:00:00.076000</td>\n",
       "      <td>0 days 00:00:00.163000</td>\n",
       "      <td>0 days 00:00:00.172000</td>\n",
       "      <td>0 days 00:00:00.178000</td>\n",
       "      <td>14759</td>\n",
       "      <td>4.445435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>4.061321</td>\n",
       "      <td>0 days 00:00:00.206000</td>\n",
       "      <td>0 days 00:00:00.441000</td>\n",
       "      <td>0 days 00:00:00.471000</td>\n",
       "      <td>0 days 00:00:00.487000</td>\n",
       "      <td>13598</td>\n",
       "      <td>4.702314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>4.649660</td>\n",
       "      <td>0 days 00:00:00.435000</td>\n",
       "      <td>0 days 00:00:00.906000</td>\n",
       "      <td>0 days 00:00:00.964000</td>\n",
       "      <td>0 days 00:00:00.975000</td>\n",
       "      <td>13311</td>\n",
       "      <td>4.566177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2.142857</td>\n",
       "      <td>0 days 00:00:00.830000</td>\n",
       "      <td>0 days 00:00:01.645000</td>\n",
       "      <td>0 days 00:00:01.743000</td>\n",
       "      <td>0 days 00:00:01.798000</td>\n",
       "      <td>14221</td>\n",
       "      <td>3.945775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>1.542394</td>\n",
       "      <td>0 days 00:00:01.333000</td>\n",
       "      <td>0 days 00:00:02.482000</td>\n",
       "      <td>0 days 00:00:02.859000</td>\n",
       "      <td>0 days 00:00:03.136000</td>\n",
       "      <td>13492</td>\n",
       "      <td>4.051847</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           max_ram                 median  \\\n",
       "gateway             vus                                     \n",
       "apollo-router       1     3.282609 0 days 00:00:00.006000   \n",
       "                    2     2.544872 0 days 00:00:00.006000   \n",
       "                    5     2.172043 0 days 00:00:00.012000   \n",
       "                    10    2.072398 0 days 00:00:00.023000   \n",
       "                    20    2.051903 0 days 00:00:00.044000   \n",
       "                    50    2.160377 0 days 00:00:00.117000   \n",
       "                    100   4.370748 0 days 00:00:00.240000   \n",
       "                    200   1.987701 0 days 00:00:00.501000   \n",
       "                    300   1.405237 0 days 00:00:00.773000   \n",
       "cosmo               1     0.347826 0 days 00:00:00.006000   \n",
       "                    2     0.391026 0 days 00:00:00.007000   \n",
       "                    5     0.440860 0 days 00:00:00.012000   \n",
       "                    10    0.570136 0 days 00:00:00.020000   \n",
       "                    20    0.685121 0 days 00:00:00.037000   \n",
       "                    50    1.297170 0 days 00:00:00.093000   \n",
       "                    100   4.653061 0 days 00:00:00.189000   \n",
       "                    200   2.144749 0 days 00:00:00.395000   \n",
       "                    300   1.986908 0 days 00:00:00.596000   \n",
       "grafbase            1     0.000000 0 days 00:00:00.005000   \n",
       "                    2     0.000000 0 days 00:00:00.005000   \n",
       "                    5     0.000000 0 days 00:00:00.006000   \n",
       "                    10    0.000000 0 days 00:00:00.010000   \n",
       "                    20    0.000000 0 days 00:00:00.018000   \n",
       "                    50    0.000000 0 days 00:00:00.046000   \n",
       "                    100   0.000000 0 days 00:00:00.097000   \n",
       "                    200   0.000000 0 days 00:00:00.214000   \n",
       "                    300   0.000000 0 days 00:00:00.337000   \n",
       "mesh-supergraph-bun 1    10.362319 0 days 00:00:00.006000   \n",
       "                    2     9.775641 0 days 00:00:00.006000   \n",
       "                    5     8.387097 0 days 00:00:00.014000   \n",
       "                    10    7.294118 0 days 00:00:00.036000   \n",
       "                    20    5.878893 0 days 00:00:00.076000   \n",
       "                    50    4.061321 0 days 00:00:00.206000   \n",
       "                    100   4.649660 0 days 00:00:00.435000   \n",
       "                    200   2.142857 0 days 00:00:00.830000   \n",
       "                    300   1.542394 0 days 00:00:01.333000   \n",
       "\n",
       "                                           p99                   p999  \\\n",
       "gateway             vus                                                 \n",
       "apollo-router       1   0 days 00:00:00.009000 0 days 00:00:00.009000   \n",
       "                    2   0 days 00:00:00.009000 0 days 00:00:00.011000   \n",
       "                    5   0 days 00:00:00.018000 0 days 00:00:00.033000   \n",
       "                    10  0 days 00:00:00.033000 0 days 00:00:00.045000   \n",
       "                    20  0 days 00:00:00.063000 0 days 00:00:00.073000   \n",
       "                    50  0 days 00:00:00.164000 0 days 00:00:00.184000   \n",
       "                    100 0 days 00:00:00.338000 0 days 00:00:00.381000   \n",
       "                    200 0 days 00:00:00.700000 0 days 00:00:00.780000   \n",
       "                    300 0 days 00:00:01.145000 0 days 00:00:01.250000   \n",
       "cosmo               1   0 days 00:00:00.008000 0 days 00:00:00.009000   \n",
       "                    2   0 days 00:00:00.010000 0 days 00:00:00.011000   \n",
       "                    5   0 days 00:00:00.017000 0 days 00:00:00.030000   \n",
       "                    10  0 days 00:00:00.035000 0 days 00:00:00.043000   \n",
       "                    20  0 days 00:00:00.057000 0 days 00:00:00.064000   \n",
       "                    50  0 days 00:00:00.124000 0 days 00:00:00.140000   \n",
       "                    100 0 days 00:00:00.241000 0 days 00:00:00.260000   \n",
       "                    200 0 days 00:00:00.526000 0 days 00:00:00.599000   \n",
       "                    300 0 days 00:00:00.807000 0 days 00:00:01.018000   \n",
       "grafbase            1   0 days 00:00:00.007000 0 days 00:00:00.007000   \n",
       "                    2   0 days 00:00:00.008000 0 days 00:00:00.009000   \n",
       "                    5   0 days 00:00:00.010000 0 days 00:00:00.011000   \n",
       "                    10  0 days 00:00:00.015000 0 days 00:00:00.016000   \n",
       "                    20  0 days 00:00:00.024000 0 days 00:00:00.033000   \n",
       "                    50  0 days 00:00:00.065000 0 days 00:00:00.077000   \n",
       "                    100 0 days 00:00:00.152000 0 days 00:00:00.181000   \n",
       "                    200 0 days 00:00:00.386000 0 days 00:00:00.462000   \n",
       "                    300 0 days 00:00:00.626000 0 days 00:00:00.735000   \n",
       "mesh-supergraph-bun 1   0 days 00:00:00.009000 0 days 00:00:00.010000   \n",
       "                    2   0 days 00:00:00.010000 0 days 00:00:00.021000   \n",
       "                    5   0 days 00:00:00.049000 0 days 00:00:00.054000   \n",
       "                    10  0 days 00:00:00.080000 0 days 00:00:00.090000   \n",
       "                    20  0 days 00:00:00.163000 0 days 00:00:00.172000   \n",
       "                    50  0 days 00:00:00.441000 0 days 00:00:00.471000   \n",
       "                    100 0 days 00:00:00.906000 0 days 00:00:00.964000   \n",
       "                    200 0 days 00:00:01.645000 0 days 00:00:01.743000   \n",
       "                    300 0 days 00:00:02.482000 0 days 00:00:02.859000   \n",
       "\n",
       "                                         p9999  count      rate  \n",
       "gateway             vus                                          \n",
       "apollo-router       1   0 days 00:00:00.013000   8838  1.275987  \n",
       "                    2   0 days 00:00:00.015000  16820  1.233878  \n",
       "                    5   0 days 00:00:00.036000  23052  1.857527  \n",
       "                    10  0 days 00:00:00.049000  25389  2.354839  \n",
       "                    20  0 days 00:00:00.081000  26844  2.443163  \n",
       "                    50  0 days 00:00:00.199000  25471  2.506741  \n",
       "                    100 0 days 00:00:00.426000  24795  2.446126  \n",
       "                    200 0 days 00:00:00.869000  23849  2.334764  \n",
       "                    300 0 days 00:00:01.375000  23200  2.331307  \n",
       "cosmo               1   0 days 00:00:00.012000   9081  1.241935  \n",
       "                    2   0 days 00:00:00.012000  14945  1.388608  \n",
       "                    5   0 days 00:00:00.032000  24178  1.770898  \n",
       "                    10  0 days 00:00:00.046000  29222  2.045614  \n",
       "                    20  0 days 00:00:00.068000  31479  2.083759  \n",
       "                    50  0 days 00:00:00.145000  31692  2.013543  \n",
       "                    100 0 days 00:00:00.274000  31506  1.924534  \n",
       "                    200 0 days 00:00:00.621000  30262  1.837752  \n",
       "                    300 0 days 00:00:01.078000  30037  1.794209  \n",
       "grafbase            1   0 days 00:00:00.009000  11277  1.000000  \n",
       "                    2   0 days 00:00:00.010000  20754  1.000000  \n",
       "                    5   0 days 00:00:00.016000  42815  1.000000  \n",
       "                    10  0 days 00:00:00.017000  59776  1.000000  \n",
       "                    20  0 days 00:00:00.049000  65569  1.000000  \n",
       "                    50  0 days 00:00:00.106000  63788  1.000000  \n",
       "                    100 0 days 00:00:00.220000  60579  1.000000  \n",
       "                    200 0 days 00:00:00.526000  55541  1.000000  \n",
       "                    300 0 days 00:00:00.834000  53835  1.000000  \n",
       "mesh-supergraph-bun 1   0 days 00:00:00.045000   9136  1.234389  \n",
       "                    2   0 days 00:00:00.027000  17280  1.201044  \n",
       "                    5   0 days 00:00:00.055000  15284  2.801603  \n",
       "                    10  0 days 00:00:00.098000  14874  4.020122  \n",
       "                    20  0 days 00:00:00.178000  14759  4.445435  \n",
       "                    50  0 days 00:00:00.487000  13598  4.702314  \n",
       "                    100 0 days 00:00:00.975000  13311  4.566177  \n",
       "                    200 0 days 00:00:01.798000  14221  3.945775  \n",
       "                    300 0 days 00:00:03.136000  13492  4.051847  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def comparison(df: pd.DataFrame) -> pd.DataFrame:\n",
    "    df = df.copy(deep=True)\n",
    "    all_vus = [1, 2, 5, 10, 20, 50, 100, 200, 300]\n",
    "    # df = df[df['vus'].isin(vus)]\n",
    "    for gateway in ['apollo-router','cosmo', 'mesh-supergraph-bun', 'grafbase']:\n",
    "        for vus in all_vus:\n",
    "            for k in ['rate']:\n",
    "                df.loc[(gateway, vus), k] =  df.loc[('grafbase', vus), k] / df.loc[(gateway, vus), k]\n",
    "            for k in ['max_ram']:\n",
    "                df.loc[(gateway, vus), k] =  df.loc[(gateway, vus), k] / df.loc[('grafbase', vus), k] - 1\n",
    "    df = df.reset_index()\n",
    "    df = df[df['vus'].isin(all_vus)]\n",
    "    return df.set_index([\"gateway\", \"vus\"])\n",
    "dfc = comparison(df)\n",
    "dfc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1a3eb8f3-d596-40aa-9b41-8f242cccca53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gateway\n",
       "apollo-router          3.450050\n",
       "cosmo                  2.385281\n",
       "grafbase               1.000000\n",
       "mesh-supergraph-bun    6.993922\n",
       "Name: max_ram, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "dfc.reset_index().groupby('gateway')['max_ram'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "9e8db62d-56f2-431c-99e5-44af3e47df8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(8, 6))\n",
    "order = [\"grafbase\", \"cosmo\", \"apollo-router\", \"mesh-supergraph-bun\"]\n",
    "sns.lineplot(x=\"vus\", y=\"p999\", sort=True, ax=ax, style=\"gateway\", hue=\"gateway\", style_order=order, hue_order=order, markers=True, data=df, dashes=False)\n",
    "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
    "\n",
    "f.suptitle(\"P99.9 latency over 60s with constant VUs on 1 CPU\", fontsize=13)\n",
    "ax.set_xlabel('Virtual Users')\n",
    "ax.set_ylabel('p99.9 Latency (ms)')\n",
    "\n",
    "ax.set_xscale('log')\n",
    "ax.set_yscale('log')\n",
    "ax.invert_yaxis()\n",
    "sns.despine(trim=True)\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.yaxis.set_major_formatter(ScalarFormatter())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "43963579-2987-4b32-b9fb-514624b1f68b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.4499999999999997"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2.3 * 1.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6fa20f61-9fad-467c-b8da-35a577d53dae",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}