From 7a355b976b7e14a049ef391bffc048228ed2ef4f Mon Sep 17 00:00:00 2001 From: semyonsinchenko Date: Tue, 4 Jun 2024 08:45:00 +0200 Subject: [PATCH] PySpark pivot results --- docs/benchmark_results.md | 14 +++++++++++--- docs/benchmark_results.md.jinja2 | 2 ++ docs/static/results_overview.png | Bin 83037 -> 100092 bytes notebooks/Data Vizualization.ipynb | 4 +++- results/results_medium.json | 3 ++- results/results_small.json | 3 ++- results/results_tiny.json | 3 ++- 7 files changed, 22 insertions(+), 7 deletions(-) diff --git a/docs/benchmark_results.md b/docs/benchmark_results.md index f70ac80..8737d93 100644 --- a/docs/benchmark_results.md +++ b/docs/benchmark_results.md @@ -1,5 +1,7 @@ # Results of Benchmark +![Results](https://raw.githubusercontent.com/SemyonSinchenko/feature-generation-benchmark/main/docs/static/results_overview.png) + ## Setup **EC2 m5.4xlarge** @@ -38,7 +40,9 @@ See `src/lib.rs` for details of the implementation. | Polars pivot | 4.54 | | DuckDB pivot | 4.10 | | DuckDB case-when | 36.59 | -| PySpark Comet case-when | 96.93 | +| PySpark Comet case-when | 94.06 | +| PySpark-4 polars-udf | 53.06 | +| PySpark pivot | 104.21 | ## Small Dataset @@ -57,7 +61,9 @@ See `src/lib.rs` for details of the implementation. | DuckDB case-when | 304.52 | | PySpark pandas-udf | 516.38 | | PySpark case-when | 1808.99 | -| PySpark Comet case-when | 651.84 | +| PySpark Comet case-when | 729.75 | +| PySpark-4 polars-udf | 356.19 | +| PySpark pivot | 151.60 | @@ -76,4 +82,6 @@ See `src/lib.rs` for details of the implementation. | DuckDB pivot | 2181.59 | | PySpark pandas-udf | 5983.14 | | PySpark case-when | 17653.46 | -| PySpark Comet case-when | 4635.37 | +| PySpark Comet case-when | 4873.54 | +| PySpark-4 polars-udf | 4704.73 | +| PySpark pivot | 455.49 | diff --git a/docs/benchmark_results.md.jinja2 b/docs/benchmark_results.md.jinja2 index 4c0eb3a..37a913d 100644 --- a/docs/benchmark_results.md.jinja2 +++ b/docs/benchmark_results.md.jinja2 @@ -1,5 +1,7 @@ # Results of Benchmark +![Results](https://raw.githubusercontent.com/SemyonSinchenko/feature-generation-benchmark/main/docs/static/results_overview.png) + ## Setup **EC2 m5.4xlarge** diff --git a/docs/static/results_overview.png b/docs/static/results_overview.png index 13321a00bb6643019e2f0464bbd2c40cdb8e3da3..e877802767db41cf1047bee1215e4c27e5b5dd74 100644 GIT binary patch literal 100092 zcmdqKcU+a{wl%tJu|uxQ5Rr%iDlHb&Wuy0|f*@TK=|y8pr0Eh+L_h_kHv#Fz z0*HVV=~5JwUZjciJ0>Li?6dDa-zoci_m9gj`Gv@Gt@nN2=b3ZNF~*$yA#?KZq6KRf zFc^$Q%p(Wo7>wC5^zXbM@FyJ`;)?K}Jr+_b7V>6#7FMS(oMoIiZE@b%%);2<%zDeS z7cLr@neN=ad;6|!>(5zOoWHnNK)~d0FW7E&L0^EAd($Pn$^7$2R4+0ZOHR|jGeRVT z4Hz>R4CcXo3f2!h>ufX>%O@s#hxX}mu)mnUNam+S`i1jvE?9S-M_-P&aKp`l9emO9 zZr_3Nio5& zym9+1k=NPTdAfqU+qZWMWLjBR#2?>$S58iDqR(!!uC_-%TVFOtDN-#I|7L4q2RPZy zR$(y0PYHV88rbS~dp08?ufTg}!s%Bx>~n{@>%w{EpYn){r>nHjWPEgd#@{`Y!MGi$ z7_Ow6rk#8tDC2vhvwiNYS+f$1s|CL_H&0}*c=8Ls`tveRK4o2f{h@mesb&os?d9S3 zI=i|i`|M_ApKUJiZm)>+NwH`iM~~HRPSIXh&j$V}50i7r%Ph6RCxJL`Cz<%N5!8S``1WY>TP7 zbbY;Ks#QQ!EUUlaoWWGaX09hZ^{6u&#>iqLvEA#u00Fom+qS@L_(<6b05m z=H$3^U8%M*aE}TCvGu-z@$olI?`@wa4Esi{X{CKPUQPy$?#lFwX1k*aTlP6Dxsl+~Me&_3BCKfF1 zuM~XJ_j6}w#Dy7T+URzjLB5U!XihcGI5SyIZkjrEfj?%&L`T zbNQHUZEb6W3_Z3gM{TpSvl|{BHhA}N&#>MP&CSj2g(3|KT{Q_`K7M@k>}>wlZQG9D zT+A+5qmk*TiB-NA9UYC$fZeK?K2Un>?c2A{T02hWTxxthKf&PrAw1tOg;183!(jPL zeSWqt{h8`g!|5Y!!TtjS@1?`#f{s2*OuUzvn7G%f+qgG*qFPOId_ewEYw^AnTNQ4n zr>EOHI0!k6SbX{XStUMy)LY#CdyLw1W8N)Ww$R710wW@}o$wP=b#!#Z8!3Nz>nY?o z_TApUByydEy~+t6VIf29XS&P`VX0*IJY6|Gy{AeMDyO$ay1BTNdGN~bGOgXsl*37L zxhNv}YN)|Ud$6POUO+&=QO~VGTIsfJI6P90*n7*j=wTmotlF_-$J=-BDt=$OY2brd zra^aYa(hX@&6;?FfTX0|C+`2Uufbu+myKU7Fjgnm5RW(~AzUd^ZgOIL#hNu?doDJ& z_I=5>ZSl1#OS8GizUM;V5ucnToDv!w92^e>&)z!eyEn+H-sUi#qwq{WF+55+94Ty* zQ{tnYabdCnHykI1^@U7o6mT>u-rU(l`!!M}cE9i5OQpG-P7zU>sYh8CE?g*!)j4d^ zkbx66SlVAC8GY>D_BLmMjAEzBQSIT8k)y01mT*M0ww@CoA9%k8myt0!VaKnPrgGSA zovgim+EK4iKf1?9V@l%AJ?bbg`0eM{$QuR z8yD}69kRW>y|xp>EoQ@Fj+5h7*RNl1`(ulrj5~+;0N%yu<+b^=gKH9uwlLoo6e#!z zn|OG6J#F!K(!!Tox^04GcdbpX|72mtXt(I4j*1hre)v%a>y}_Yd_n5ap)kkskp&AD zY#m5>;xdFaTrhuriM!-P$cw9U!||+YQmvvlpL`e+AHNGnEUVQl>++0SZf;7cmR-Bf zfBaPwd)4k+XGw;`XxXEEvzVn>S7s%g$zDL8qm$!OGBG|XWK^+@d-G<)@sU9*u_%AX z5oV-%Vg+`?)Xi5{tM+7!nr5gvN)3Xw9x8SFT*y>o}HFZ{4)WVYDl8PPf$H;mpa2)S5)IXby4P z5UZa0k=6kBT^6k})z#IjH)zQA#2J=vU9@hujO!Yq(ntHQaxpV9GA>wJRv`L?FOm5E zt65s_4aBBR%&qFrBe)E5Tvk8WWx%o>XnlNT*4*}c+Kwepq@2s1ojrz~`T9)W>3u~r z7?;oJ|G>yvuxPDtfkxHj@xh*khR&uYowUh`(Vjw9!P$H-q2S=)wYghPK0N28yLj

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", 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bXuTj42PUum/fPl27di3f7Iabx7Nt2zY1a9asSH9cNmnSRE2aNNGMGTO0atUqhYeHa/Xq1Ro0aJB0Y6lRp06d1KlTJ+Xm5uq5557T0qVLNXny5Hue0eTj46MTJ07IbDZbBDPffffdPfV7L243Xl9fX2VmZt72Z8XX11dbt27V77//XuhsKR8fH+Xm5io5OdmYFSdJv/zyi9LT043P/U74+PgYs5RuVtDPl4rw+d+tO/298vX11dixYzV27FglJyerTp06ev311/X+++/fda1xcXE6f/681q5dq5YtWxrHf/jhhzsax5EjR9S2bdsih4d/dvbsWWVlZVnMlvr222+lG9+qeKf3Kay9sOO+vr4ym82qVq3aXYWmAABYE3tKAQAeKKGhoXJzc9PMmTML3K/m119/LVI/7777rsX177zzjq5fv25809yttG/fXvv379dXX31lHMvKytK7776rqlWrqmbNmtKNbyn77bfftHjx4nx95M2W6dmzp3JycjR9+vR851y/fl3p6enSjeWLf55hU6dOHenGV9Prxrdw3czGxkYPP/ywxTn3IjQ0VD/99JM2bNhgHLty5YqWLVt2z33fjaKMt2fPnvrqq6+0devWfNenp6fr+vXr0o3Pymw2KzIyMt95ec89L7C8+Rv7JBmzZTp06HDHY2jfvr327t2r/fv3G8d+/fXXfDPnivL534ui/l5dunRJV65csWjz9fWVq6urUcfd1po3K+jma69evaq33367yOPo2bOnfvrppwJ/Ji9fvqysrKzb9nH9+nUtXbrUooalS5eqbNmyql+//h3fx9nZ2fg9vlle6PXntieeeEIlSpRQZGRkvudoNpvz/dwDAFCcmCkFAHiguLm56Z133lG/fv1Ur1499e7dW2XLltXp06f12WefqVmzZgWGQH929epVtW3bVj179tTJkyf19ttvq3nz5habeBfmxRdf1AcffKB27dpp1KhRKlWqlGJiYvTDDz/ok08+kY3N//v/jPr3768VK1ZozJgx2r9/v1q0aKGsrCxt27ZNzz33nLp06aKQkBANGTJEs2bNUmJioh5//HGVLFlSycnJWrNmjd588011795dMTExevvtt9WtWzf5+vrq4sWLWrZsmdzc3IywZNCgQfr999/Vpk0bVapUSadOndKiRYtUp04di5k9d2vIkCFavHix+vTpo+eff17e3t6KjY2Vg4ODdAfL2u6Xoox3/Pjx2rBhgzp27KiIiAjVr19fWVlZOnbsmD7++GOlpqaqTJkyat26tfr166eFCxcqOTlZYWFhys3NVXx8vFq3bq0RI0YoODhYAwYM0LvvvmssNdu/f79iYmLUtWtXi5l3RTVhwgStXLlSYWFhev755+Xs7Kx3331XPj4+Fvt5FeXzl6SIiAjjZzFvVk9RFPX36ttvvzV+b2rWrClbW1utW7dOv/zyi3r37n1Htf5Z06ZN5enpqQEDBmjUqFEymUxauXLlHS137Nevnz766CMNHTpUO3fuVLNmzZSTk6NvvvlGH330kbZu3aoGDRrcso8KFSpozpw5Sk1NVfXq1fXhhx8qMTFR7777rjHj8U7uU79+fW3btk3z589XhQoVVK1aNTVu3NgIuF5++WX17t1bJUuWVKdOneTr66tXX31VkyZNUmpqqrp27SpXV1f98MMPWrdunQYPHqxx48YV+ZkAAPCXKu6v/wMAYPjw4ebC/idpwIABZh8fH+P9Dz/8UOBXyu/cudMsybxmzRqL43lfXf/nr5ffuXOnOTQ01Ozu7m52cHAw+/r6miMiIswHDx68Za15/e3atcs8ePBgs6enp9nFxcUcHh5uPn/+vMW5Pj4+5g4dOhTYT0pKirl79+5mDw8Ps4ODg7lRo0bmjRs35jvv0qVL5pdfftlcrVo1c8mSJc1eXl7m7t27m1NSUizOe/fdd83169c3Ozo6ml1dXc21a9c2T5gwwXz27Fmz2Ww2f/311+Y+ffqYq1SpYra3tzeXK1fO3LFjR4vxfvzxx+bHH3/cXK5cObOdnZ25SpUq5iFDhpjT0tLyPeedO3cax0JCQsxBQUH5av/zZ2c2m83ff/+9uUOHDmZHR0dz2bJlzWPHjjV/8sknZknmvXv3FunZ//DDD7d9xiEhIeaQkJBb9leU8ZrNZvPFixfNkyZNMvv5+Znt7OzMZcqUMTdt2tQ8b94889WrV43zrl+/bn7ttdfMAQEBZjs7O3PZsmXN7dq1Mx86dMg459q1a+bIyEjj86xcubJ50qRJ5itXrljc807GdfToUXNISIjZwcHBXLFiRfP06dPN//3vfy2eVVE+f7PZbH7yySfNjo6O5j/++OOWz66gz8JchN+r3377zTx8+HBzQECA2dnZ2ezu7m5u3Lix+aOPPjL6KGqtBUlISDA3adLE7OjoaK5QoYJ5woQJ5q1btxb5Z9ZsNpuvXr1qnjNnjjkoKMhsb29v9vT0NNevX98cGRlpvnDhwi3vn9fvwYMHzY888ojZwcHB7OPjY168ePFd3+ebb74xt2zZ0uzo6GiWZB4wYIDRNn36dHPFihXNNjY2+T6PTz75xNy8eXOzs7Oz2dnZ2RwQEGAePny4+eTJk0V6DgAAWIPJbI0dSAEA+JeIjo7W008/rQMHDtx2xgSKZsGCBXrhhRf0448/qmLFisVdzgOtfPny6t+/v1577bXiLgUAADwA2FMKAABYzeXLly3eX7lyRUuXLpW/vz+BVDE7fvy4Ll++rIkTJxZ3KQAA4AHBnlIAAMBqnnjiCVWpUkV16tTRhQsX9P777+ubb77JtzE3rC8oKEgZGRnFXQYAAHiAEEoBAACrCQ0N1XvvvafY2Fjl5OSoZs2aWr16tXr16lXcpQEAAMDK2FMKAAAAAAAAVseeUgAAAAAAALA6QikAAAAAAABYHaEUAAAAAAAArI5QCgAAAAAAAFZHKAUAAAAAAACrI5QCAADAv8aWLVtUp04dOTg4yGQyKT09vbhLAgAAhSCUAgAAeIBlZmZqypQpCgsLU6lSpWQymRQdHV3guSaTqdDXY489ZpwXFxdnHH///fcL7KtZs2YymUyqVavWfRvL+fPn1bNnTzk6Ouqtt97SypUr5ezsfN/6BwAA95dtcRcAAACA4vPbb79p2rRpqlKlioKDgxUXF1fouStXrsx37ODBg3rzzTf1+OOP52tzcHDQqlWr9NRTT1kcT01N1Z49e+Tg4HCfRvH/HDhwQBcvXtT06dP16KOP3te+AQDA/UcoBQAA8ADz9vZWWlqavLy8dPDgQTVs2LDQc/8cLummWVF9+vTJ19a+fXtt2LBBv/32m8qUKWMcX7VqlcqXLy9/f3/98ccf920s586dkyR5eHjc1fVZWVnMrAIAwIpYvgcAAPAAs7e3l5eX111dm52drU8++UQhISGqVKlSvvYuXbrI3t5ea9assTi+atUq9ezZUyVKlCjyvdasWaP69evL0dFRZcqU0VNPPaWffvrJaG/VqpUGDBggSWrYsKFMJpMiIiIK7W/q1KkymUw6ceKE+vbtK09PTzVv3lySdP36dU2fPl2+vr6yt7dX1apV9dJLLyk7O9u4fsyYMSpdurTMZrNxbOTIkTKZTFq4cKFx7JdffpHJZNI777xjHFu0aJGCgoLk5OQkT09PNWjQQKtWrSryswAA4N+CUAoAAAB3ZdOmTUpPT1d4eHiB7U5OTurSpYs++OAD49iRI0d0/Phx9e3bt8j3iY6ONkKsWbNm6dlnn9XatWvVvHlzYyPzl19+WYMHD5YkTZs2TStXrtSQIUNu23ePHj106dIlzZw5U88++6wkadCgQfrPf/6jevXq6Y033lBISIhmzZql3r17G9e1aNFCv//+u44fP24ci4+Pl42NjeLj4y2OSVLLli0lScuWLdOoUaNUs2ZNLViwQJGRkapTp4727dtX5OcBAMC/Bcv3AAAAcFdiY2Nlb2+v7t27F3pO37591alTJ505c0aVK1dWbGysHnroITVp0qRI97h27ZomTpyoWrVqaffu3cY+VM2bN1fHjh31xhtvKDIyUo899ph++uknvfvuu2rXrp0aNGhQpP6Dg4MtZikdOXJEMTExGjRokJYtWyZJeu6551SuXDnNmzdPO3fuVOvWrY1ZVfHx8apVq5YuXLigY8eO6cknn9Tu3buN/uLj41WqVCnVrFlTkvTZZ58pKCgo3+wxAAAeRMyUAgAAwB3LyMjQZ599pvbt299yD6fHH39cpUqV0urVq2U2m7V69eoC958qzMGDB3Xu3Dk999xzFhujd+jQQQEBAfrss8/uaRxDhw61eL9p0ybpxvK8m40dO1a6ESpJUtmyZRUQEGAEUAkJCSpRooTGjx+vX375RcnJydKNUKp58+YymUzSjf2ufvzxRx04cOCe6gYA4N+AUAoAAAB37JNPPtGVK1cKXbqXp2TJkurRo4dWrVql3bt368yZM3e0dO/UqVOSpBo1auRrCwgIMNrvVrVq1fLdz8bGRn5+fhbHvby85OHhYXG/Fi1aGMvz4uPj1aBBAzVo0EClSpVSfHy8MjIydOTIEbVo0cK4ZuLEiXJxcVGjRo3k7++v4cOHKyEh4Z7GAADAPxWhFAAAAO5YbGys3N3d1bFjx9ue27dvXyUmJmrq1KkKDg42lrL9HTg6OhZ4PG9m0600b95cP/30k77//nvFx8erRYsWMplMat68ueLj47Vnzx7l5uZahFKBgYE6efKkVq9erebNm+uTTz5R8+bNNWXKlPs6LgAA/gkIpQAAAHBH0tLStHPnTj355JOyt7e/7fnNmzdXlSpVFBcXd0ezpCTJx8dHknTy5Ml8bSdPnjTa7xcfHx/l5uYay+/y/PLLL0pPT7e4X17Y9MUXX+jAgQPG+5YtWyo+Pl7x8fFydnZW/fr1LfpydnZWr169FBUVpdOnT6tDhw6aMWOGrly5cl/HAgDA3x2hFAAAAO7I6tWrlZube9ule3lMJpMWLlyoKVOmqF+/fnd0rwYNGqh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" ] @@ -184,6 +184,8 @@ " # Inspired by https://stackoverflow.com/a/30229062\n", " ax[2].text(100, i, \"Memory error or no space left on device\", color=\"red\", verticalalignment=\"center\")\n", "\n", + "f.tight_layout()\n", + "\n", "f.savefig(f\"{images_prefix}results_overview.png\")" ] }, diff --git a/results/results_medium.json b/results/results_medium.json index 228a53c..c56fc4d 100644 --- a/results/results_medium.json +++ b/results/results_medium.json @@ -5,5 +5,6 @@ "PySpark pandas-udf": 5983.137866973877, "PySpark case-when": 17653.461864709854, "PySpark Comet case-when": 4873.537589073181, - "PySpark-4 polars-udf": 4704.727216005325 + "PySpark-4 polars-udf": 4704.727216005325, + "PySpark pivot": 455.48546409606934 } diff --git a/results/results_small.json b/results/results_small.json index 9656995..31ffdb8 100644 --- a/results/results_small.json +++ b/results/results_small.json @@ -6,5 +6,6 @@ "PySpark pandas-udf": 516.3818678855896, "PySpark case-when": 1808.9883704185486, "PySpark Comet case-when": 729.7482228279114, - "PySpark-4 polars-udf": 356.1914813518524 + "PySpark-4 polars-udf": 356.1914813518524, + "PySpark pivot": 151.59994101524353 } diff --git a/results/results_tiny.json b/results/results_tiny.json index 193d239..cac9ce1 100644 --- a/results/results_tiny.json +++ b/results/results_tiny.json @@ -6,5 +6,6 @@ "DuckDB pivot": 4.098507404327393, "DuckDB case-when": 36.58749794960022, "PySpark Comet case-when": 94.0553047657013, - "PySpark-4 polars-udf": 53.060457944869995 + "PySpark-4 polars-udf": 53.060457944869995, + "PySpark pivot": 104.20818734169006 }