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<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>ClickBench — a Benchmark For Analytical DBMS</title>
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<script type="text/javascript">
const queries = [
"SELECT COUNT(*) FROM hits;",
"SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;",
"SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;",
"SELECT AVG(UserID) FROM hits;",
"SELECT COUNT(DISTINCT UserID) FROM hits;",
"SELECT COUNT(DISTINCT SearchPhrase) FROM hits;",
"SELECT MIN(EventDate), MAX(EventDate) FROM hits;",
"SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;",
"SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;",
"SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;",
"SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;",
"SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;",
"SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
"SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;",
"SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;",
"SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;",
"SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;",
"SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;",
"SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;",
"SELECT UserID FROM hits WHERE UserID = 435090932899640449;",
"SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';",
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"SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
"SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;",
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;",
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;",
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;",
"SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;",
"SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\\.)?([^/]+)/.*$', '\\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;",
"SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), ..., SUM(ResolutionWidth + 89) FROM hits;",
"SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;",
"SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;",
"SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;",
"SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;",
"SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;",
"SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;",
"SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;",
"SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;",
"SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;",
"SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;",
"SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;",
"SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;",
"SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;",
];
const data = [
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,{"system":"Databend","date":"2022-11-15","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["Rust","column-oriented","ClickHouse derivative"],"load_time":442,"data_size":16075899488,"result":[[0.0508,0.006124,0.006221],[0.116371,0.043494,0.043111],[0.285636,0.079906,0.079754],[1.015417,0.137815,0.094609],[0.884458,0.888167,0.88974],[0.889425,0.881534,0.884572],[0.119707,0.040901,0.040201],[0.085632,0.045283,0.048562],[2.514139,2.269367,2.258248],[3.609747,2.387973,2.377058],[1.072023,0.399061,0.352369],[1.325429,0.448702,0.403263],[1.577367,1.296656,1.251004],[3.353688,1.853624,1.898598],[1.912451,1.414917,1.525265],[1.619931,1.297493,1.293442],[5.634646,4.903098,4.957365],[4.459208,3.707654,3.964768],[11.119566,8.775199,8.637654],[0.559955,0.021579,0.020804],[9.193678,3.950343,3.907928],[11.203889,4.08378,4.068505],[21.24651,8.01459,8.00078],[55.987338,14.649996,14.752932],[3.853903,0.521871,0.473308],[1.009042,0.370048,0.32932],[3.952747,0.522387,0.475292],[9.174419,3.553316,3.548634],[8.476201,7.091029,7.086211],[2.571957,2.525812,2.547844],[4.317876,1.156125,1.158417],[7.987505,2.067545,2.095677],[13.518619,11.315866,11.490431],[12.589491,7.751158,7.677315],[16.296902,12.815518,12.707802],[2.314965,2.120891,2.141161],[0.560232,0.477576,0.476592],[0.272514,0.19943,0.185964],[0.171017,0.142604,0.142321],[1.141981,1.14406,1.172517],[0.146263,0.0551,0.053713],[0.077452,0.043259,0.043329],[0.070523,0.049476,0.052166]],"source":"databend/results/c6a.4xlarge.json"}
,{"system":"datafusion","date":"2023-02-16","machine":"f16s v2","cluster_size":1,"comment":"","tags":["Rust","column-oriented","embedded","stateless"],"load_time":0,"data_size":14779976446,"result":[[1.397,0.683,0.653],[0.323,0.245,0.273],[0.979,0.725,0.75],[1.003,0.662,0.646],[2.709,2.491,2.502],[5.38,4.981,4.912],[0.358,0.221,0.217],[0.31,0.263,0.246],[3.36,3.095,2.981],[52.658,52.928,52.789],[2.064,1.769,1.71],[2.462,1.983,1.968],[5.311,4.947,5.056],[7.763,7.24,7.204],[5.814,5.46,5.413],[3.623,3.442,3.438],[8.598,8.249,8.238],[8.19,7.701,7.686],[14.214,13.5,13.434],[0.798,0.571,0.568],[13.273,11.503,11.459],[17.313,14.918,14.885],[46.216,41.503,41.366],[121.251,110.046,109.176],[5.688,4.912,4.881],[4.09,3.83,3.824],[5.397,4.931,4.908],[13.936,12.289,12.066],[14.426,12.823,12.975],[0.912,0.823,0.823],[8.08,7.242,7.442],[10.015,8.883,8.86],[null,null,null],[18.417,16.754,16.567],[18.622,16.872,16.776],[3.74,3.566,3.563],[0.384,0.332,0.329],[0.335,0.311,0.324],[0.294,0.261,0.258],[0.667,0.585,0.585],[0.132,0.106,0.107],[0.123,0.097,0.098],[0.107,0.086,0.086]],"source":"datafusion/results/f16s_v2.json"}
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,{"system":"Snowflake","date":"2022-07-01","machine":"L","cluster_size":8,"comment":"","tags":["managed","column-oriented"],"load_time":2524,"data_size":12300000000,"result":[[0.067,0.054,0.051],[1.158,1.409,0.19],[1.47,0.566,0.715],[0.892,0.534,0.264],[0.474,0.499,0.489],[0.95,0.65,0.699],[0.069,0.055,0.11],[0.317,0.307,0.321],[0.949,0.593,0.654],[0.713,1.099,0.86],[0.622,0.37,0.404],[0.457,0.369,0.414],[0.61,0.566,0.653],[0.97,1.006,0.976],[1.517,0.636,0.603],[0.532,0.541,0.533],[1.018,1.001,1.022],[0.942,0.996,0.94],[2.246,1.596,1.56],[0.181,0.184,0.2],[1.135,0.788,0.609],[0.669,0.528,0.524],[1.164,0.827,0.882],[3.545,2.214,2.107],[0.559,0.431,0.426],[0.34,0.296,0.383],[0.695,0.314,0.368],[0.628,0.658,0.637],[1.511,1.385,1,440],[1.39,1.418,1.322],[1.107,0.687,0.537],[1.026,0.737,0.659],[1.712,1.681,1.728],[2.141,2.13,2.225],[2.163,2.157,2.11],[0.65,0.619,0.627],[0.204,0.195,0.225],[0.159,0.152,0.156],[0.146,0.136,0.15],[0.359,0.29,0.364],[0.196,0.129,0.227],[0.201,0.128,0.143],[0.176,0.129,0.146]],"source":"snowflake/results/l.json"}
,{"system":"Snowflake","date":"2022-07-01","machine":"M","cluster_size":4,"comment":"","tags":["managed","column-oriented"],"load_time":2524,"data_size":12300000000,"result":[[0.054,0.062,0.064],[0.698,0.563,0.407],[0.586,0.412,0.266],[1.386,0.363,0.301],[0.814,0.825,0.984],[1.303,1.024,1.048],[0.069,0.066,0.062],[0.334,0.254,0.27],[1.043,0.952,0.993],[1.21,1.209,1.171],[0.667,0.483,0.456],[0.543,0.495,0.5],[1.005,0.889,0.888],[1.644,1.646,1.652],[1.054,1.044,0.966],[0.893,0.874,0.907],[1.737,1.779,1.837],[1.518,1.539,1.526],[3.082,2.818,2.842],[0.309,0.286,0.256],[1.594,1.017,0.993],[0.781,0.853,0.735],[1.461,1.226,1.08],[5.308,2.974,2.642],[0.511,0.625,0.467],[0.405,0.382,0.439],[0.601,0.535,0.471],[0.947,1.624,1.192],[2.631,2.486,2.49],[1.938,1.96,1.954],[1.93,0.83,0.835],[1.359,1.14,1.062],[3.599,3.623,3.621],[3.619,3.741,3.663],[3.725,3.614,3.786],[1.149,1.126,1.055],[0.202,0.207,0.196],[0.152,0.139,0.145],[0.149,0.144,0.148],[0.383,0.287,0.294],[0.203,0.137,0.119],[0.2,0.312,0.137],[0.149,0.13,0.214]],"source":"snowflake/results/m.json"}
,{"system":"Snowflake","date":"2022-07-01","machine":"S","cluster_size":2,"comment":"","tags":["managed","column-oriented"],"load_time":2524,"data_size":12300000000,"result":[[0.186,0.06,0.062],[0.98,0.574,0.311],[0.977,0.554,0.426],[0.686,0.573,0.404],[1.386,1.384,1.349],[1.871,1.697,1.704],[0.052,0.059,0.227],[0.309,0.536,0.508],[1.768,1.631,1.635],[2.039,2.219,1.908],[0.807,0.647,0.587],[0.763,0.69,0.631],[1.403,1.586,1.404],[2.593,2.584,2.554],[1.67,1.538,1.653],[1.659,1.509,1.514],[2.875,2.99,2.998],[2.605,2.549,2.598],[6.12,5.894,5.766],[0.32,0.431,0.416],[2.406,1.703,1.609],[1.189,1.186,1.163],[2.104,1.441,1.37],[7.144,5.174,4.139],[0.839,0.659,0.641],[0.527,0.518,0.509],[0.633,0.621,0.695],[1.491,1.509,1.514],[4.848,4.485,4.571],[3.067,3.106,3.098],[1.521,1.224,1.236],[1.839,1.69,1.497],[5.692,5.751,6.087],[6.733,6.755,6.712],[6.722,6.709,6.676],[1.704,1.686,1.676],[0.203,0.231,0.218],[0.151,0.134,0.214],[0.14,0.156,0.163],[0.317,0.328,0.319],[0.166,0.133,0.141],[0.166,0.12,0.14],[0.12,0.119,0.126]],"source":"snowflake/results/s.json"}
,{"system":"Snowflake","date":"2022-07-01","machine":"XL","cluster_size":16,"comment":"","tags":["managed","column-oriented"],"load_time":2524,"data_size":12300000000,"result":[[0.071,0.053,0.057],[0.998,0.61,0.24],[0.42,1.138,1.051],[0.653,0.264,0.178],[0.352,0.312,0.349],[1.126,0.431,0.42],[0.067,0.057,0.054],[0.225,0.217,0.2],[0.617,0.366,0.371],[1.006,0.541,0.498],[0.463,0.425,0.293],[0.431,0.36,0.339],[0.392,0.371,0.386],[0.588,0.581,0.59],[0.634,0.414,0.4],[0.368,0.41,0.388],[0.594,0.639,0.663],[0.616,0.581,0.569],[1.092,0.933,0.901],[0.493,0.213,0.16],[0.886,0.48,0.442],[0.448,0.337,0.399],[0.84,0.572,0.505],[2.251,1.23,0.959],[0.295,0.253,0.241],[0.214,0.239,0.278],[0.261,0.232,0.314],[0.422,0.429,0.403],[0.892,0.934,0.883],[1.041,1.017,1.009],[0.715,0.442,0.363],[0.845,0.413,0.461],[1.101,1.085,1.102],[1.294,1.272,1.339],[1.839,1.327,1.241],[0.439,0.399,0.393],[0.199,0.211,0.19],[0.157,0.143,0.14],[0.145,0.157,0.141],[0.331,0.291,0.333],[0.173,0.214,0.138],[0.189,0.15,0.159],[0.135,0.149,0.138]],"source":"snowflake/results/xl.json"}
,{"system":"Snowflake","date":"2022-07-01","machine":"XS","cluster_size":1,"comment":"","tags":["managed","column-oriented"],"load_time":2524,"data_size":12300000000,"result":[[0.169,0.055,0.056],[1.184,0.582,0.386],[1.35,0.56,0.568],[1.27,0.554,0.538],[2.516,2.564,2.506],[2.935,2.649,2.67],[0.052,0.05,0.064],[0.383,0.387,0.397],[3.249,2.993,3.014],[3.589,3.627,3.887],[1.243,0.986,0.966],[1.325,1.08,1.073],[2.038,2.046,2.035],[3.738,3.626,3.718],[2.318,2.159,2.176],[2.733,2.637,2.668],[5.607,5.683,5.667],[3.978,3.923,3.879],[10.085,9.871,9.844],[0.45,0.375,0.469],[5.474,3.103,3.06],[2.012,1.982,1.971],[3.365,2.471,2.501],[11.96,10.619,9.518],[1.074,1.059,1.026],[0.856,0.846,0.879],[1.1,1.085,1.083],[3.057,3.228,3.117],[9.406,9.019,9.158],[6.196,6.243,6.911],[2.906,2.343,2.017],[2.954,2.666,2.565],[9.459,9.565,9.557],[9.555,9.529,9.368],[9.409,9.185,9.294],[2.796,2.88,2.685],[0.299,0.249,0.262],[0.156,0.145,0.18],[0.147,0.146,0.16],[0.371,0.357,0.356],[0.166,0.133,0.155],[0.218,0.14,0.135],[0.14,0.152,0.158]],"source":"snowflake/results/xs.json"}
,{"system":"SQLite","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","embedded","row-oriented"],"load_time":2608,"data_size":75776589824,"result":[[752.739,2.003,1.2],[304.302,291.521,286.965],[293.964,287.619,287.219],[758.302,5.879,5.65],[836.393,48.593,48.452],[362.605,344.884,356.245],[763.993,11.602,10.795],[296.348,286.879,287.557],[365.816,360.339,354.126],[374.403,365.196,362.261],[302.989,293.888,298.432],[303.64,291.729,295.347],[316.824,298.18,301.006],[320.665,301.15,305.227],[313.593,301.021,301.626],[794.881,47,47.225],[355.346,344.615,342.442],[316.499,305.971,305.007],[398.177,380.383,385.571],[751.82,5.082,4.913],[295.522,286.573,287.368],[298.58,287.182,288.303],[296.474,288.747,288.638],[296.579,287.127,287.361],[304.709,286.865,287.56],[300.391,290.633,288.587],[294.605,286.91,287.799],[305.986,312.111,305.626],[null,null,null],[411.225,397.614,394.253],[307.711,295.181,300.266],[312.472,299.079,298.19],[386.674,378.347,376.963],[409.742,409.554,420.273],[468.73,453.709,458.149],[366.015,347.446,346.728],[2.911,0.781,0.757],[1.599,0.609,0.587],[1.288,0.256,0.238],[2.469,1.582,1.52],[1.274,0.303,0.283],[1.322,0.317,0.314],[1.498,0.602,0.613]],"source":"sqlite/results/c6a.4xlarge.json"}
,{"system":"StarRocks","date":"2022-09-25","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","MySQL compatible","ClickHouse derivative"],"load_time":492,"data_size":17233927256,"result":[[0.04,0.02,0.02],[0.21,0.03,0.04],[1.88,0.07,0.07],[3.4,0.09,0.1],[0.37,0.34,0.33],[2.71,0.88,0.84],[0.03,0.02,0.02],[0.06,0.03,0.03],[1.66,0.53,0.47],[1.58,1.52,1.47],[0.68,0.1,0.11],[1.26,0.12,0.12],[0.54,0.54,0.54],[0.99,0.96,0.99],[0.81,0.77,0.8],[0.41,0.39,0.4],[1.45,1.49,1.52],[0.52,0.52,0.51],[2.98,2.6,2.56],[0.02,0.01,0],[12.97,1.1,1.11],[14.84,0.91,0.94],[27.68,1.96,1.94],[46.49,1.49,1.22],[0.16,0.11,0.07],[0.94,0.12,0.12],[0.06,0.05,0.04],[13.99,1.44,1.42],[11.58,10.2,10.37],[0.22,0.1,0.11],[4.6,0.38,0.36],[4.15,0.53,0.52],[3.54,3.48,3.48],[15.22,6.08,6.17],[14.9,6.34,6.31],[1.86,0.59,0.51],[0.99,0.09,0.08],[0.42,0.05,0.05],[0.15,0.04,0.04],[1.27,0.18,0.18],[0.32,0.04,0.03],[0.11,0.03,0.04],[0.08,0.03,0.02]],"source":"starrocks/results/c6a.4xlarge.json"}
,{"system":"StarRocks","date":"2023-02-10","machine":"c6a.metal, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","MySQL compatible","ClickHouse derivative"],"load_time":433,"data_size":17705230744,"result":[[0.04,0.04,0.03],[0.12,0.03,0.03],[0.66,0.06,0.06],[2.08,0.08,0.06],[0.1,0.08,0.09],[2.19,0.22,0.21],[0.04,0.02,0.03],[0.06,0.04,0.04],[0.99,0.12,0.12],[0.73,0.74,0.7],[0.13,0.06,0.05],[1.04,0.06,0.07],[0.17,0.18,0.17],[0.23,0.23,0.23],[0.54,0.18,0.18],[0.09,0.09,0.08],[0.31,0.32,0.3],[0.12,0.1,0.11],[1.27,0.48,0.44],[0.01,0.01,0],[12.09,0.17,0.15],[0.17,0.13,0.12],[10.91,0.28,0.24],[28.25,0.86,1.36],[0.03,0.03,0.02],[0.06,0.04,0.04],[0.02,0.03,0.02],[0.63,0.24,0.21],[8.77,1.6,1.64],[0.12,0.1,0.1],[1.33,0.13,0.13],[3.46,0.18,0.19],[0.97,0.86,0.86],[0.95,0.96,0.98],[0.96,0.97,0.97],[0.14,0.12,0.14],[0.07,0.06,0.06],[0.05,0.04,0.04],[0.04,0.03,0.03],[0.1,0.09,0.09],[0.47,0.03,0.03],[0.25,0.03,0.03],[0.04,0.03,0.03]],"source":"starrocks/results/c6a.metal.json"}
,{"system":"TimescaleDB (compression)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","PostgreSQL compatible","column-oriented","time-series"],"load_time":4605,"data_size":20333747165,"result":[[2.28686,1.63642,1.64263],[32.6848,1.63476,1.40052],[60.8633,3.70484,3.59342],[36.4029,2.87091,2.80739],[110.391,38.9688,38.0549],[147.379,66.2513,65.6379],[33.0294,2.92031,2.84375],[33.0221,1.2984,1.19227],[115.694,47.4651,47.0125],[156.347,51.577,51.2694],[68.3301,4.75521,4.68007],[77.4356,5.55128,5.56577],[49.7741,11.2911,11.3265],[81.1014,14.9111,14.9541],[82.9569,14.6156,14.6331],[62.0338,26.399,26.3351],[103.259,36.4122,36.6076],[92.8828,26.2395,25.8991],[144.281,63.5102,63.7661],[7.00679,0.573073,0.536283],[75.0203,7.86344,7.90495],[81.2825,9.15868,9.01775],[104.084,13.9528,13.8435],[132.531,81.522,82.1561],[80.6965,3.28231,3.16574],[39.7693,2.51443,2.43849],[80.4245,3.26941,3.13916],[104.015,13.7044,13.5313],[307.26,253.127,252.147],[42.8549,22.4187,22.0325],[137.601,14.9592,14.6804],[136.767,22.8007,22.131],[263.005,168.551,163.355],[156.919,92.6308,91.702],[160.842,96.0512,97.1773],[62.8357,28.0336,28.7397],[1.75869,0.561604,0.541215],[0.46607,0.191863,0.19021],[0.303671,0.137579,0.136615],[2.32031,1.49223,1.52369],[0.563764,0.14192,0.138234],[0.372428,0.122989,0.123709],[0.448574,0.159092,0.154687]],"source":"timescaledb-compressed/results/c6a.4xlarge.json"}
,{"system":"TimescaleDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","PostgreSQL compatible","row-oriented","time-series"],"load_time":1620,"data_size":72882392030,"result":[[437.7,215.793,176.42],[327.026,259.568,244.578],[262.978,263.09,263.083],[262.807,263.046,266.847],[337.497,334.964,330.852],[355.689,356.801,362.894],[262.762,263.012,262.968],[263.055,263.016,263.028],[319.928,319.388,320.704],[323.584,322.224,322.488],[265.979,265.465,265.375],[266.019,265.543,265.462],[277.018,276.3,276.595],[280.352,279.251,279.572],[279.915,279.896,279.674],[296.377,298.506,297.659],[314.448,314.605,312.57],[302.668,302.672,303.039],[325.81,324.061,324.376],[262.447,262.698,262.704],[267.581,267.467,267.482],[268.085,267.466,267.696],[263.391,263.097,263.126],[38.291,0.435,0.335],[0.127,0.005,0.005],[263.138,263.1,263.092],[0.889,0.341,0.339],[267.586,267.498,267.491],[289.086,290.012,290.093],[263.22,263.071,263.109],[274.78,273.995,273.998],[282.217,281.39,281.47],[429.273,426.588,439.431],[448.808,418.724,418.207],[455.196,422.75,423.142],[299.263,296.937,297.261],[18.693,1.552,1.481],[18.125,0.945,0.937],[18.528,1.062,0.902],[18.268,1.779,1.77],[19.615,1.965,1.966],[18.97,1.435,1.43],[18.33,1.153,0.952]],"source":"timescaledb/results/c6a.4xlarge.json"}
]; // end of data
const additional_data_size_points = [
{"fake": true, "system": "hits.tsv", "data_size": 74807831229},
{"fake": true, "system": "hits.csv", "data_size": 81136059858},
{"fake": true, "system": "hits.json", "data_size": 232733025002},
{"fake": true, "system": "hits.parquet", "data_size": 14779976446},
{"fake": true, "system": "hits.tsv.gz", "data_size": 16298506510},
{"fake": true, "system": "hits.csv.gz", "data_size": 16608960810},
{"fake": true, "system": "hits.json.gz", "data_size": 23728268670}
];
</script>
</head>
<body>
<div class="header stick-left">
<span class="nowrap themes"><span id="toggle-dark">🌚</span><span id="toggle-light">🌞</span></span>
<h1>ClickBench — a Benchmark For Analytical DBMS</h1>
<a href="https://github.com/ClickHouse/ClickBench/">Methodology</a> | <a href="https://github.com/ClickHouse/ClickBench/">Reproduce and Validate the Results</a> | <a href="https://github.com/ClickHouse/ClickBench/">Add a System</a> | <a href="https://github.com/ClickHouse/ClickBench/">Report Mistake</a> | <a href="https://benchmark.clickhouse.com/hardware/">Hardware Benchmark</a> | <a href="https://benchmark.clickhouse.com/versions/">Versions Benchmark</a>
</div>
<table class="selectors-container stick-left">
<tr>
<th>System: </th>
<td id="selectors_system">
<a id="select-all-systems" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Type: </th>
<td id="selectors_type">
<a id="select-all-types" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Machine: </th>
<td id="selectors_machine">
<a id="select-all-machines" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Cluster size: </th>
<td id="selectors_cluster_size">
<a id="select-all-cluster-sizes" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Metric: </th>
<td id="selectors_run">
<a class="selector" id="selector-metric-cold">Cold Run</a>
<a class="selector" id="selector-metric-hot">Hot Run</a>
<a class="selector" id="selector-metric-load">Load Time</a>
<a class="selector" id="selector-metric-size">Storage Size</a>
</td>
</tr>
</table>
<table class="stick-left comparison">
<thead>
<tr>
<th class="summary-name">
System & Machine
</th>
<th colspan="2">
Relative <span id="time-or-size">time</span> (lower is better)
</th>
</tr>
</thead>
<tbody id="summary">
</tbody>
</table>
<div id="nothing-selected" class="stick-left">Nothing selected</div>
<div class="stick-left comparison">
<h2>Detailed Comparison</h2>
</div>
<table id="details">
<thead>
<tr id="details_head">
</tr>
</thead>
<tbody id="details_body">
</tbody>
</table>
<script type="text/javascript">
const constant_time_add = 0.01;
const missing_result_penalty = 2;
const missing_result_time = 300;
let selectors = {
"system": {},
"type": {},
"machine": {},
"cluster_size": {},
"metric": "hot",
"queries": [],
};
let theme = 'light';
function setTheme(new_theme) {
theme = new_theme;
document.documentElement.setAttribute('data-theme', theme);
window.localStorage.setItem('theme', theme);
render();
}
document.getElementById('toggle-light').addEventListener('click', e => setTheme('light'));
document.getElementById('toggle-dark').addEventListener('click', e => setTheme('dark'));
let new_theme = window.localStorage.getItem('theme');
if (new_theme && new_theme != theme) {
setTheme(new_theme);
}
/// Generate selectors
let systems = document.getElementById('selectors_system');
let types = document.getElementById('selectors_type');
let machines = document.getElementById('selectors_machine');
let cluster_sizes = document.getElementById('selectors_cluster_size');
let unique_systems = [... new Set(data.map(elem => elem.system))];
function toggle(e, elem, selectors_map) {
selectors_map[elem] = !selectors_map[elem];
e.target.className = selectors_map[elem] ? 'selector selector-active' : 'selector';
render();
updateHistory();
}
function toggleAll(e, selectors_map) {
const new_value = Object.keys(selectors_map).filter(k => selectors_map[k]).length * 2 < Object.keys(selectors_map).length;
[...e.target.parentElement.querySelectorAll('a')].map(
elem => { elem.className = new_value ? 'selector selector-active' : 'selector' });
Object.keys(selectors_map).map(k => { selectors_map[k] = new_value });
render();
updateHistory();
}
unique_systems.map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
systems.appendChild(selector);
if (!(elem in selectors.system)) { selectors.system[elem] = data.some(entry => entry.system == elem && !entry.hide); }
selector.addEventListener('click', e => toggle(e, elem, selectors.system));
/// Highlighting summary rows and table columns on hovering over the system selector.
selector.addEventListener('mouseover', e => {
[...document.querySelectorAll('.summary-row')].map(row => {
row.className = row.dataset.system == elem ? 'summary-row summary-row-hilite' : 'summary-row' });
[...document.querySelectorAll('.th-entry')].map(th => {
th.className = th.dataset.system == elem ? 'th-entry th-entry-hilite' : 'th-entry' });
});
selector.addEventListener('mouseout', e => {
[...document.querySelectorAll('.summary-row')].map(row => { row.className = 'summary-row' });
[...document.querySelectorAll('.th-entry')].map(row => { row.className = 'th-entry' });
});
});
[... new Set(data.map(elem => elem.tags).flat())].map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
types.appendChild(selector);
if (!(elem in selectors.type)) { selectors.type[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.type));
});
[... new Set(data.map(elem => elem.machine))].map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
machines.appendChild(selector);
if (!(elem in selectors.machine)) { selectors.machine[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.machine));
});
[... new Set(data.map(elem => elem.cluster_size))].sort(
(a, b) => ((typeof(b) === 'number') - (typeof(a) === 'number')) || (a - b)).map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
cluster_sizes.appendChild(selector);
if (!(elem in selectors.cluster_size)) { selectors.cluster_size[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.cluster_size));
});
document.getElementById('select-all-systems').addEventListener('click', e => toggleAll(e, selectors.system));
document.getElementById('select-all-types').addEventListener('click', e => toggleAll(e, selectors.type));
document.getElementById('select-all-machines').addEventListener('click', e => toggleAll(e, selectors.machine));
document.getElementById('select-all-cluster-sizes').addEventListener('click', e => toggleAll(e, selectors.cluster_size));
[...document.getElementById('selectors_run').querySelectorAll('a')].map(elem => elem.addEventListener('click', e => {
[...e.target.parentElement.querySelectorAll('a')].map(elem => { elem.className = elem == e.target ? 'selector selector-active' : 'selector' });
}));
document.getElementById('selector-metric-cold').addEventListener('click', e => { selectors.metric = 'cold'; render(); updateHistory(); });
document.getElementById('selector-metric-hot').addEventListener('click', e => { selectors.metric = 'hot'; render(); updateHistory(); });
document.getElementById('selector-metric-load').addEventListener('click', e => { selectors.metric = 'load'; render(); updateHistory(); });
document.getElementById('selector-metric-size').addEventListener('click', e => { selectors.metric = 'size'; render(); updateHistory(); });
selectors.queries = [...data[0].result.keys()].map(k => true);
function updateSelectors() {
[...systems.childNodes].map(elem => { elem.className = selectors.system[elem.innerText] ? 'selector selector-active' : 'selector' });
[...types.childNodes].map(elem => { elem.className = selectors.type[elem.innerText] ? 'selector selector-active' : 'selector' });
[...machines.childNodes].map(elem => { elem.className = selectors.machine[elem.innerText] ? 'selector selector-active' : 'selector' });
[...cluster_sizes.childNodes].map(elem => { elem.className = selectors.cluster_size[elem.innerText] ? 'selector selector-active' : 'selector' });
[...document.getElementById('selectors_run').querySelectorAll('a')].map(elem => {
elem.className = elem.id == 'selector-metric-' + selectors.metric ? 'selector selector-active' : 'selector' });
[...document.querySelectorAll('.query-checkbox')].map((elem, i) => { elem.checked = selectors.queries[i] });
}
function clearElement(elem)
{
while (elem.firstChild) {
elem.removeChild(elem.lastChild);
}
}
function selectRun(timings) {
return selectors.metric == 'cold' ? timings[0] : (timings[1] !== null && timings[2] !== null ? Math.min(timings[1], timings[2]) : null)
}
function addNote(text) {
let note = document.createElement('sup');
note.className = 'note';
note.appendChild(document.createTextNode('†'));
let tooltip = document.createElement('span');
tooltip.className = 'tooltip tooltip-result';
tooltip.appendChild(document.createTextNode(text));
note.appendChild(tooltip);
return note;
}
function renderSummary(filtered_data) {
let table = document.getElementById('summary');
clearElement(table);
/// Generate summary
/// The algorithm: for each of the queries,
/// - if there is a result - take query duration, add 10 ms, and divide it to the corresponding value from the baseline,
/// - if there is no result - take the worse query duration across all query runs for this system and multiply by 2.
/// Take geometric mean across the queries.
let summary = {};
const num_queries = filtered_data[0].result.length;
const baseline_data = [...filtered_data[0].result.keys()].map(query_num =>
[...Array(3).keys()].map(run_num =>
Math.min(...filtered_data.filter(elem => !elem.fake).map(elem => elem.result[query_num][run_num]).filter(x => x))));
const min_load_time = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
const min_data_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
let summaries;
if (selectors.metric == 'load') {
summaries = filtered_data.map(elem => elem.load_time / min_load_time);
document.getElementById('time-or-size').innerText = 'time';
} else if (selectors.metric == 'size') {
summaries = filtered_data.map(elem => elem.data_size / min_data_size);
document.getElementById('time-or-size').innerText = 'size';
} else {
summaries = filtered_data.map(elem => {
const fallback_timing = missing_result_penalty * Math.max(missing_result_time, ...elem.result.map(timings => selectRun(timings)));
let accumulator = 0;
let used_queries = 0;
const no_queries_selected = selectors.queries.filter(x => x).length == 0;
for (let i = 0; i < num_queries; ++i) {
if (no_queries_selected || selectors.queries[i]) {
const curr_timing = selectRun(elem.result[i]) ?? fallback_timing;
const baseline_timing = selectRun(baseline_data[i]);
const ratio = (constant_time_add + curr_timing) / (constant_time_add + baseline_timing);
accumulator += Math.log(ratio);
++used_queries;
}
}
return Math.exp(accumulator / used_queries);
});
document.getElementById('time-or-size').innerText = 'time';
}
const sorted_indices = [...summaries.keys()].sort((a, b) => summaries[a] - summaries[b]);
const max_ratio = summaries[sorted_indices[sorted_indices.length - 1]];
sorted_indices.map(idx => {
const elem = filtered_data[idx];
if (selectors.metric == 'size' && elem.data_size === null) { return; }
let tr = document.createElement('tr');
tr.className = 'summary-row';
tr.dataset.system = elem.system;
let td_name = document.createElement('td');
td_name.className = 'summary-name';
if (!elem.fake) {
let link = document.createElement('a');
link.appendChild(document.createTextNode(`${elem.system} (${Number.isInteger(elem.cluster_size) && elem.cluster_size > 1 ? elem.cluster_size + '×': ''}${elem.machine})`));
link.href = "https://github.com/ClickHouse/ClickBench/blob/main/" + elem.source;
td_name.appendChild(link);
} else {
td_name.appendChild(document.createTextNode(elem.system));
}
if (elem.comment) { td_name.appendChild(addNote(elem.comment)); }
td_name.appendChild(document.createTextNode(': '));
const ratio = summaries[idx];
const percentage = summaries[idx] / max_ratio * 100;
let td_number = document.createElement('td');
td_number.className = 'summary-number';
const text = selectors.metric == 'load' ? (elem.load_time ? `${Math.round(elem.load_time)}s (×${ratio.toFixed(2)})` : 'stateless')
: selectors.metric == 'size' ? `${(elem.data_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})`
: `×${ratio.toFixed(2)}`;
td_number.appendChild(document.createTextNode(text));
let td_bar = document.createElement('td');
td_bar.className = 'summary-bar-cell';
let bar = document.createElement('div');
bar.className = `summary-bar`;
bar.style.width = `${percentage}%`;
td_bar.appendChild(bar);
tr.appendChild(td_name);
tr.appendChild(td_bar);
tr.appendChild(td_number);
table.appendChild(tr);
});
return [sorted_indices, baseline_data];
}
function colorize(elem, ratio) {
let [r, g, b] = [0, 0, 0];
/// ratio less than 1 - green
/// ratio from 1 to 2 - green to yellow
/// ratio from 2 to 10 - yellow to red
/// ratio from 10 to 1000 to infinity - red to brown to black
/// Note: we are using RGB space without proper gamma correction. Read more: https://www.handprint.com/HP/WCL/color1.html
if (ratio !== null) {
if (ratio < 1) {
r = 232;
g = 255;
b = 232;
} else if (ratio <= 1) {
g = 255;
} else if (ratio <= 2) {
g = 255;
r = (ratio - 1) * 255;
} else if (ratio <= 10) {
g = (10 - ratio) / 8 * 255;
r = 255;
} else {
r = (1 - ((ratio - 10) / ((ratio - 10) + 1000))) * 255;
}
}
if (document.documentElement.getAttribute('data-theme') == 'dark') {
r /= 1.5;
g /= 1.5;
b /= 1.5;
}
elem.style.backgroundColor = `rgb(${r}, ${g}, ${b})`;
if (ratio === null || ratio > 10) {
/// This will look better on dark backgrounds
elem.style.color = 'white';
} else {
elem.style.color = 'black';
}
/// The best result is highlighted
if (ratio == 1) {
elem.style.fontWeight = 'bold';
}
}
function render() {
let details_head = document.getElementById('details_head');
let details_body = document.getElementById('details_body');
clearElement(details_head);
clearElement(details_body);
let filtered_data = data.filter(elem =>
selectors.system[elem.system] &&
selectors.machine[elem.machine] &&
selectors.cluster_size[elem.cluster_size] &&
elem.tags.filter(type => selectors.type[type]).length > 0);
let nothing_selected_elem = document.getElementById('nothing-selected');
if (filtered_data.length == 0) {
nothing_selected_elem.style.display = 'block';
[...document.querySelectorAll('.comparison')].map(e => e.style.display = 'none');
return;
}
nothing_selected_elem.style.display = 'none';
[...document.querySelectorAll('.comparison')].map(e => e.style.display = 'block');
if (selectors.metric == 'size') {
filtered_data = [...filtered_data, ...additional_data_size_points];
}
let [sorted_indices, baseline_data] = renderSummary(filtered_data);
sorted_indices = sorted_indices.filter(idx => !filtered_data[idx].fake);
/// Generate details
/// Global checkbox
{
let th_checkbox = document.createElement('th');
let checkbox = document.createElement('input');
checkbox.type = 'checkbox';
checkbox.checked = true;
checkbox.addEventListener('change', e => {
[...document.querySelectorAll('.query-checkbox')].map(elem => { elem.checked = e.target.checked });
selectors.queries.map((_, i) => { selectors.queries[i] = e.target.checked });
renderSummary(filtered_data);
updateHistory();
});
th_checkbox.appendChild(checkbox);
details_head.appendChild(th_checkbox);
details_head.appendChild(document.createElement('th'));
}
/// Table header
sorted_indices.map(idx => {
const elem = filtered_data[idx];
let th = document.createElement('th');
th.appendChild(document.createTextNode(`${elem.system}\n(${Number.isInteger(elem.cluster_size) && elem.cluster_size > 1 ? elem.cluster_size + '×': ''}${elem.machine})`));
th.className = 'th-entry';
th.dataset.system = elem.system;
details_head.appendChild(th);
});
/// Load times
{
let tr = document.createElement('tr');
tr.className = 'shadow';
let td_title = document.createElement('td');
td_title.colSpan = 2;
td_title.appendChild(document.createTextNode('Load time: '));
tr.appendChild(td_title);
sorted_indices.map(idx => {
const curr_timing = filtered_data[idx].load_time;
const baseline_timing = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
const ratio = curr_timing / baseline_timing;
let td = document.createElement('td');
td.appendChild(document.createTextNode(curr_timing ? `${Math.round(curr_timing)}s (×${ratio.toFixed(2)})` : '0'));
colorize(td, ratio);
tr.appendChild(td);
});
details_body.appendChild(tr);
}
/// Data sizes
{
let tr = document.createElement('tr');
tr.className = 'shadow';
let td_title = document.createElement('td');
td_title.colSpan = 2;
td_title.appendChild(document.createTextNode('Data size: '));
tr.appendChild(td_title);
sorted_indices.map(idx => {
const curr_size = filtered_data[idx].data_size;
const baseline_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
const ratio = curr_size !== null ? curr_size / baseline_size : null;
let td = document.createElement('td');
td.appendChild(document.createTextNode(curr_size !== null ? `${(curr_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})` : '☠'));
colorize(td, ratio);
tr.appendChild(td);
});
details_body.appendChild(tr);
}
/// Query runtimes
const num_queries = filtered_data[0].result.length;
for (let query_num = 0; query_num < num_queries; ++query_num) {
let tr = document.createElement('tr');
tr.className = 'shadow';
let td_checkbox = document.createElement('td');
let checkbox = document.createElement('input');
checkbox.type = 'checkbox';
checkbox.className = 'query-checkbox';
checkbox.checked = selectors.queries[query_num];
checkbox.addEventListener('change', e => {
selectors.queries[query_num] = e.target.checked;
renderSummary(filtered_data);
updateHistory();
});
td_checkbox.appendChild(checkbox);
tr.appendChild(td_checkbox);
let td_query_num = document.createElement('td');
td_query_num.className = 'note';
td_query_num.appendChild(document.createTextNode(`Q${query_num}. `));
let tooltip = document.createElement('span');
tooltip.className = 'tooltip tooltip-query';
tooltip.appendChild(document.createTextNode(`Query ${query_num}: ${queries[query_num]}`));
td_query_num.appendChild(tooltip);
tr.appendChild(td_query_num);
sorted_indices.map(idx => {
const curr_timing = selectRun(filtered_data[idx].result[query_num]);
const baseline_timing = selectRun(baseline_data[query_num]);
const ratio = curr_timing !== null ? (constant_time_add + curr_timing) / (constant_time_add + baseline_timing) : null;
let td = document.createElement('td');
td.appendChild(document.createTextNode(curr_timing !== null ? `${curr_timing.toFixed(2)}s (×${ratio.toFixed(2)})` : '☠'));
colorize(td, ratio);
tr.appendChild(td);
});
details_body.appendChild(tr);
}
}
function updateHistory() {
history.pushState(selectors, '',
window.location.pathname + (window.location.search || '') + '#' + btoa(JSON.stringify(selectors)));
}
window.onpopstate = function(event) {
if (!event.state) { return; }
selectors = event.state;
render();
updateSelectors();
};
if (window.location.hash) {
try {
selectors = JSON.parse(atob(window.location.hash.substring(1)));
} catch {}
}
render();
updateSelectors();
</script>
</body>
</html>