ClickBench/index.html at main · hello-stephen/ClickBench · GitHub

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<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <title>ClickBench — a Benchmark For Analytical DBMS</title>

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            --bar-color: #FFCB80;

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            --nothing-selected-color: #CCC;
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        [data-theme="dark"] {
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            --selector-hover-background-color: white;

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            --highlight-color: #064663;
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            --tooltip-text-color: white;
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            --nothing-selected-color: #666;
            --shadow-color: black;
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        html, body {
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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%';",
"SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
"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":"Greenplum","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","column-oriented","PostgreSQL compatible"],"load_time":1080,"data_size":42000000000,"result":[[2.20009,1.45883,1.13573],[1.28661,1.07897,1.01856],[2.2582,2.42193,2.59693],[1.89371,1.9246,1.73866],[9.54471,9.71956,10.0357],[4.55957,4.10112,4.70458],[1.65167,1.89767,1.97051],[1.02537,0.999323,1.00524],[7.89792,7.75718,8.01219],[11.3779,11.6003,11.2552],[2.11955,2.05003,1.9553],[2.01997,1.97932,1.98284],[2.88666,2.92828,2.96822],[4.06272,4.01771,4.03011],[3.46303,3.24779,3.06475],[8.43717,8.18641,7.99202],[9.02176,8.91572,8.92748],[8.66982,8.39332,8.62497],[15.1321,14.9502,15.2344],[1.00877,0.934589,0.975342],[11.0582,3.25807,3.17687],[12.2634,3.5188,3.93705],[24.1522,4.86328,4.88764],[67.1517,20.4,20.261],[2.5799,1.66114,1.90432],[1.72831,1.89536,1.2515],[2.44154,1.46595,1.88238],[11.1175,6.09551,6.02292],[83.041,82.9784,82.8678],[82.5441,82.5427,83.9836],[3.0962,3.22225,3.19431],[5.77576,4.05973,4.00366],[43.6826,40.4375,40.1076],[18.0978,13.2741,12.8894],[17.3187,13.5411,13.5927],[9.72405,9.90029,10.0177],[0.294344,0.169606,0.173804],[0.162524,0.117489,0.115532],[0.145205,0.098342,0.097275],[0.334809,0.275365,0.265053],[0.154522,0.107654,0.10529],[0.158957,0.117284,0.119068],[0.193756,0.144787,0.145485]],"source":"greenplum/results/c6a.4xlarge.json"}
,{"system":"HeavyAI","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Previous names: OmniSci, mapD. Many queries cannot run due to errors and limitations.","tags":["C++","column-oriented"],"load_time":572.633,"data_size":50887437386,"result":[[6.525,0.022,0.029],[0.301,0.042,0.04],[0.287,0.095,0.093],[2.572,0.039,0.04],[null,null,null],[null,null,null],[7.327,0.093,0.097],[0.244,0.043,0.038],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[2.939,0.295,0.294],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[4.716,3.91,3.955],[null,null,null],[0.154,0.083,0.106],[14.426,0.07,0.071],[null,null,null],[null,null,null],[null,null,null],[2.276,0.258,0.272],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[1.832,1.64,1.602],[null,null,null],[null,null,null],[null,null,null],[14.811,0.494,0.497],[null,null,null],[null,null,null],[1.941,0.255,0.255],[5.457,0.172,0.283],[0.476,0.269,0.256],[14.239,0.179,0.178],[3.992,0.112,0.112],[1.031,0.116,0.116],[1.365,0.089,0.088]],"source":"heavyai/results/c6a.4xlarge.json"}
,{"system":"Infobright","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Only 90% of data successfully loaded. Some queries run for days.","tags":["C++","column-oriented","MySQL compatible"],"load_time":2317,"data_size":13760341294,"result":[[0.01,0,0],[2.39,2.4,2.44],[0,0,0],[7.21,6.04,6.91],[16.09,16.86,15.69],[48.8,42.37,48.63],[0,0,0],[3.48,2.42,2.42],[23.56,24.78,22.21],[32.87,31.71,34.48],[14.8,14.83,14.11],[16.7,16.53,17.37],[1752.91,1999.88,1961.4],[1193.43,1167,1220.47],[2184.81,2316.12,2224.14],[32.58,30.69,31.58],[300.17,16221.33,16168.44],[122.4,120.49,124.67],[78927.44,79250.44,78504.89],[3.38,1.22,1.21],[289.73,302.3,285.83],[415.82,389.23,403.28],[573.82,590.81,575.06],[300.13,293.96,285.64],[41.42,37.48,39.64],[75.2,75.37,72.07],[39.22,41.52,40.11],[449.56,445.03,448.68],[null,null,null],[450.87,488.3,453.83],[58.69,59.29,58.07],[84.47,78.92,79.38],[517.97,520.29,504.96],[182468.89,182468.89,182468.89],[182468.89,182468.89,182468.89],[68.43,66.93,67.68],[8.3,3.62,3.61],[1.04,0.62,0.62],[0.22,0.18,0.18],[567.78,566.52,563.02],[0.29,0.14,0.11],[0.17,0.08,0.08],[1.37,1.34,1.32]],"source":"infobright/results/c6a.4xlarge.json"}
,{"system":"MariaDB ColumnStore","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Previous name: InfiniDB.","tags":["C++","column-oriented","MySQL compatible"],"load_time":2507.8,"data_size":19712857022,"result":[[0.151,0.158,0.148],[0.1,0.101,0.106],[1.221,1.233,1.226],[0.739,0.736,0.741],[2.025,2.046,2.004],[3.725,4.801,3.755],[0.871,0.749,0.736],[0.118,0.108,0.103],[2.108,2.029,2.029],[4.225,4.271,4.288],[1.711,1.402,1.407],[1.526,1.435,1.42],[5.339,4.172,3.61],[4.692,4.729,4.96],[4.013,3.86,3.918],[3.236,2.68,2.629],[null,null,null],[null,null,null],[null,null,null],[0.137,0.109,0.147],[12.331,6.069,8.619],[2.162,2.178,2.192],[16.849,30.463,26.639],[92,90.208,92.814],[3.042,1.763,1.791],[1.779,1.772,1.749],[1.793,1.821,1.888],[13.036,10.747,9.59],[null,null,null],[78.224,79.141,77.806],[2.837,2.654,2.675],[5.833,4.552,3.678],[null,null,null],[null,null,null],[null,null,null],[3.626,3.546,3.709],[1.719,1.787,1.876],[1.345,0.906,0.91],[0.117,0.091,0.093],[1.217,1.133,1.133],[0.114,0.063,0.062],[0.1,0.062,0.061],[null,null,null]],"source":"mariadb-columnstore/results/c6a.4xlarge.json"}
,{"hide":true,"system":"MariaDB","date":"2022-07-12","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"For some reason many queries run in almost exactly one hour. Most likely a coincidence. It is installed from Debian packages, which might explain the abysmal performance.","tags":["C++","row-oriented","MySQL compatible"],"load_time":8625,"data_size":107252505530,"result":[[7910.23,10229.8,3610.54],[3595.79,3595.59,3595.21],[3596.12,3595.34,3595.49],[3597.22,3595.7,3595.09],[3600.57,3596.08,3595.82],[3596.57,3597.76,3598.47],[3595.94,3595.36,3596.2],[3595.95,3595.38,3595.45],[3649.15,3624.26,3623.71],[3645.39,3763.75,3630.71],[4519.77,4552.84,4552.7],[4628.21,4629.55,4628.16],[3773.52,3774.44,3779.05],[12198,12192.4,12192.6],[3779.67,3774.97,3777.86],[4277.99,4302.56,4275.29],[4697.19,4367.3,4372.73],[4401.2,4340.43,4310.13],[5335.93,5373.04,5361.51],[3596.91,3598.61,3598.71],[3598.76,3598.56,3598.68],[3598.76,3598.63,3599.39],[3604.28,3603.71,3603.66],[3598.83,3598.2,3598.19],[3599.11,3598.1,3598.17],[3599.04,3598.46,3598.13],[3598.76,3598.71,3598.22],[3599.02,3599.76,3598.18],[3644.12,3716.36,3725.92],[3933.26,3854.55,3784.74],[3392.13,3402.26,3602.15],[3717.3,3735.06,3723.07],[6126.66,6135.63,6193.45],[4029.78,3998.89,3952.7],[3955.34,4029.28,3941.84],[4881.07,4782.53,4900.72],[24.455,23.862,25.173],[24.195,23.529,23.473],[20.719,21.629,21.582],[24.577,25.877,25.953],[20.686,20.787,21.199],[20.036,17.973,22.759],[null,null,null]],"source":"mariadb/results/c6a.4xlarge.json"}
,{"system":"MonetDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","column-oriented"],"load_time":939,"data_size":49696606499,"result":[[0.000218,0.000157,0.000155],[0.101903,0.019908,0.018439],[0.282431,0.035987,0.034938],[2.868,0.029387,0.029207],[4.675,4.515,4.511],[6.584,4.269,4.65],[0.528827,0.063135,0.065742],[0.506863,0.020966,0.021687],[8.343,4.457,4.408],[7.224,6.548,7.576],[0.267003,0.233353,0.230444],[0.347206,0.28358,0.266085],[5.389,3.099,3.074],[7.653,7.759,8.596],[3.276,3.326,3.292],[5.31,3.465,3.578],[9.341,9.143,9.536],[9.584,9.604,9.419],[19.539,19.783,19.611],[0.004509,0.000702,0.000643],[20.801,1.57,1.603],[2.752,0.418221,0.395884],[14.717,0.800894,0.395477],[14.429,1.804,1.869],[1.386,0.159602,0.156426],[0.189736,0.167664,0.168781],[0.164681,0.176666,0.17126],[3.005,3.113,3.882],[null,null,null],[2.751,2.846,2.676],[7.937,2.579,2.447],[5.12,3.492,3.467],[22.862,22.567,23.211],[33.437,18.889,19.043],[18.898,19.583,19.047],[14.774,12.984,13.803],[3.865,0.322143,0.323117],[0.192149,0.177791,0.175984],[0.194173,0.159398,0.165201],[0.680778,0.592252,0.560738],[0.106465,0.10638,0.102692],[0.154871,0.153752,0.155782],[0.11459,0.09639,0.095594]],"source":"monetdb/results/c6a.4xlarge.json"}
,{"system":"MongoDB","date":"2022-08-31","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["row-oriented","document","C++"],"load_time":3972,"data_size":46794025189,"result":[[325.085,378.263,418.948],[479.558,478.31,468.472],[530.15,537.193,533.017],[639.078,640.804,638.664],[726.34,726.022,714.445],[833.183,835.381,826.26],[469.625,481.014,478.058],[478.875,474.318,477.218],[803.29,777.945,808.189],[null,null,null],[463.114,491.17,489.217],[479.329,477.785,473.713],[559.361,570.591,593.745],[702.474,698.07,691.037],[642.583,625.356,603.754],[895.536,951.216,871.93],[956.388,1026.135,1028.971],[993.917,977.478,974.784],[1032.8,1019.72,1069.799],[499.072,488.304,457.528],[481.915,480.248,484.293],[491.15,479.513,470.035],[471.112,476.364,470.195],[477.45,477.686,425.421],[228.11,335.7,452.771],[483.597,483.226,495.34],[484.945,487.452,499.714],[560.348,560.001,552.201],[756.287,723.189,735.629],[1959.866,1957.117,1968.065],[572.256,579.602,578.62],[609.446,609.908,614.072],[3003.927,2772.841,2906.002],[912.959,834.537,875.074],[862.412,883.17,838.436],[830.574,792.649,764.194],[9.076,7.524,7.492],[1.82,1.823,1.815],[1.369,1.295,1.368],[8.227,8.164,8.125],[1.813,1.753,1.763],[2.009,1.975,2.098],[2.838,2.616,2.614]],"source":"mongodb/results/c6a.4xlarge.json"}
,{"system":"MySQL (MyISAM)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","row-oriented","MySQL compatible"],"load_time":2512,"data_size":121588958061,"result":[[0,0,0],[283.32,276.83,274.52],[276.93,278.29,283.27],[28.83,23.63,21.55],[46.41,40.81,40.93],[467.04,467.39,469.08],[31.02,25.89,24.2],[277.89,275.3,277.3],[329.34,325.8,325.35],[342.86,338.43,336.95],[282.03,279.87,281.22],[277.74,282.68,282],[335.66,334.83,336.44],[305.24,310.39,307.3],[337.41,338.52,342.94],[308.66,307.34,306.27],[738.38,748.44,740.75],[738.75,734.01,738.25],[867.01,872.92,868.84],[25.65,20.61,18.46],[312.39,313.67,306.66],[301.66,305.12,308.01],[298.12,298.44,312.4],[311.34,309.9,311.85],[281.87,278.5,275],[277.46,277.46,277.46],[280.75,278.04,281.76],[263.9,417.39,406.88],[707.21,711.96,705],[668.1,668.33,665.96],[330.31,333.36,331.94],[506.57,506.18,500.53],[2604.49,2681.96,2703.12],[830.65,832.88,831.14],[831.98,830.46,833.41],[608.49,608.51,613.68],[4.56,4.13,4.16],[3.8,3.8,3.7],[1.65,1.45,1.46],[6.33,5.14,6.15],[1.6,1.41,1.41],[1.56,1.42,1.39],[7.04,1.17,1.13]],"source":"mysql-myisam/results/c6a.4xlarge.json"}
,{"system":"MySQL","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","row-oriented","MySQL compatible"],"load_time":9472,"data_size":171953585825,"result":[[339.77,339.88,339.77],[364.91,371.86,367.55],[366.2,368.91,389.66],[364.39,377.53,571.45],[377.69,390.02,384.86],[569.48,576.51,574.68],[367.4,368.23,370.41],[371.29,384.02,613.22],[478.85,683.22,495.68],[489.9,635.96,662.43],[386.07,396.49,640.15],[389.13,412.55,444.12],[447.97,455.54,448.06],[423.22,845.44,813.6],[452.48,460.07,453.98],[577.54,623.21,586.49],[852.07,856.36,862.66],[838.09,848.92,851.12],[1006.37,1011.16,1023.17],[369.76,375.61,415.28],[412.45,419.9,456.62],[411.65,432.88,482.2],[412.73,420.73,429.5],[551.16,577.62,545.45],[382.89,394.76,386.37],[380.9,391.4,385.05],[385.3,394.67,460.32],[388.95,394.7,387.21],[800.33,807.9,807.11],[706.03,745.27,718.9],[450.9,489.59,530.97],[625.5,651.93,647.32],[2721.13,2792.12,2819.26],[945.9,954.94,957.54],[945.42,953.78,965.16],[684.36,716.29,708.75],[10.01,3.79,3.77],[7.48,3.32,3.27],[5.09,0.98,0.96],[8.7,4.77,4.68],[4.82,0.76,0.74],[4.46,0.77,0.75],[7.04,1.17,1.13]],"source":"mysql/results/c6a.4xlarge.json"}
,{"system":"Pinot","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"It successfully loaded only 94465149 out of 99997497 records. Some queries returned NullPointerException. The loading process is painful - splitting to 100 pieces required. It does not correctly report errors on data loading, the results may be incorrect.","tags":["Java","column-oriented"],"load_time":2032,"data_size":null,"result":[[0.002,0.001,0.001],[0.186,0.186,0.185],[0.251,0.276,0.258],[0.475,0.281,0.238],[3.907,3.655,3.633],[30.471,14.687,14.93],[null,null,null],[0.135,0.134,0.148],[3.039,2.902,2.938],[3.159,3.212,3.225],[4.217,4.197,4.384],[4.145,4.124,4.121],[2.989,3.145,3.18],[6.402,6.886,6.374],[3.245,3.35,3.129],[5.112,5.027,5.141],[5.509,5.279,5.257],[0.865,0.856,0.829],[null,null,null],[0.017,0.015,0.015],[54.348,19.562,19.128],[null,null,null],[76.596,74.719,14.228],[7.441,5.77,5.87],[0.376,0.327,0.286],[7.689,0.395,1.281],[3.434,0.499,0.5],[27.679,2.378,2.393],[null,null,null],[2.221,2.227,2.167],[4.941,4.639,4.565],[5.641,5.37,5.007],[5.295,5.006,5.357],[5.28,5.21,5.105],[6.231,6.238,6.385],[5.918,5.933,5.934],[0.26,0.202,0.21],[0.364,0.072,0.069],[0.042,0.034,0.035],[1.483,0.686,0.651],[0.113,0.071,0.079],[0.042,0.051,0.037],[null,null,null]],"source":"pinot/results/c6a.4xlarge.json"}
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,{"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":737,"data_size":17731811260,"result":[[0.03,0.03,0.03],[0.04,0.02,0.01],[0.09,0.06,0.07],[1.64,0.09,0.08],[0.49,0.48,0.47],[1.59,0.9,0.92],[0.09,0.08,0.08],[0.05,0.02,0.02],[0.78,0.75,0.77],[0.92,0.86,0.92],[0.17,0.15,0.12],[0.15,0.13,0.13],[0.68,0.66,0.69],[1.56,1.63,1.48],[0.96,0.92,0.91],[0.56,0.57,0.54],[2.85,2.24,2.26],[0.49,0.48,0.47],[4.37,4.39,4.41],[0.01,0,0],[10.86,1.12,1.05],[12.92,0.97,0.94],[25.64,3.23,2.14],[42.72,2.67,2.65],[3.08,0.28,0.23],[0.18,0.17,0.16],[0.19,0.16,0.17],[11.73,1.46,1.45],[10.48,6.21,8.73],[1.55,1.49,1.38],[3.21,0.5,0.5],[2.72,0.74,0.71],[4.88,5.71,5.13],[15.75,7.05,6.82],[14.24,6.82,7.25],[2.76,3.52,2.49],[0.06,0.04,0.05],[0.04,0.03,0.03],[0.02,0.02,0.02],[0.16,0.14,0.14],[0.05,0.02,0.02],[0.03,0.02,0.01],[0.01,0.01,0.01]],"source":"starrocks/results/c6a.4xlarge.untuned.json"}
,{"hide":true,"system":"StarRocks (tuned)","date":"2022-09-25","machine":"c6a.metal, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","MySQL compatible","ClickHouse derivative"],"load_time":490,"data_size":17746587454,"result":[[0.1,0.03,0.03],[0.06,0.02,0.02],[0.06,0.04,0.04],[1.17,0.08,0.05],[0.08,0.07,0.1],[1.14,0.31,0.21],[0.06,0.05,0.03],[0.04,0.02,0.03],[0.22,0.2,0.2],[0.22,0.23,0.23],[0.1,0.08,0.09],[0.11,0.1,0.11],[0.16,0.17,0.15],[0.26,0.27,0.26],[0.19,0.21,0.19],[0.09,0.08,0.08],[0.29,0.27,0.27],[0.09,0.1,0.1],[0.64,0.53,0.55],[0.01,0,0.01],[10.79,0.24,0.25],[0.16,0.14,0.14],[9.59,0.28,0.29],[23.02,0.32,0.31],[0.04,0.04,0.05],[0.04,0.05,0.05],[0.04,0.04,0.05],[0.29,0.3,0.3],[8.48,0.82,0.75],[0.3,0.28,0.26],[0.19,0.15,0.15],[2.11,0.2,0.22],[1.37,1.14,1.13],[0.93,0.95,0.91],[0.94,0.88,0.92],[0.32,0.32,0.33],[0.03,0.03,0.03],[0.02,0.02,0.02],[0.02,0.03,0.03],[0.16,0.17,0.16],[0.08,0.1,0.11],[0.09,0.1,0.1],[0.09,0.1,0.09]],"source":"starrocks/results/c6a.metal.json"}
,{"system":"StarRocks","date":"2022-09-25","machine":"c6a.metal, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","MySQL compatible","ClickHouse derivative"],"load_time":484,"data_size":17746587454,"result":[[0.12,0.04,0.04],[0.04,0.03,0.03],[0.42,0.06,0.05],[2.15,0.05,0.05],[0.26,0.25,0.25],[1.44,0.32,0.29],[0.06,0.05,0.05],[0.06,0.04,0.03],[0.35,0.34,0.31],[0.36,0.4,0.35],[0.14,0.15,0.13],[0.18,0.16,0.16],[0.16,0.16,0.16],[0.33,0.33,0.32],[0.28,0.27,0.26],[0.27,0.28,0.26],[0.47,0.45,0.47],[0.35,0.36,0.35],[0.8,0.73,0.71],[0.01,0.01,0.01],[11.06,0.24,0.22],[0.13,0.12,0.14],[10.29,0.3,0.31],[44.91,0.26,0.27],[0.27,0.05,0.05],[0.23,0.05,0.05],[0.13,0.05,0.05],[1.34,7.1,0.47],[2.08,1.27,1.57],[0.52,0.38,0.44],[0.87,0.24,0.24],[0.99,0.34,0.31],[1.45,1.48,1.3],[2.28,1.08,1.06],[1,1.16,0.98],[0.5,0.44,0.47],[0.05,0.04,0.04],[0.04,0.04,0.04],[0.04,0.03,0.03],[0.19,0.2,0.19],[0.12,0.1,0.11],[0.12,0.11,0.11],[0.07,0.08,0.06]],"source":"starrocks/results/c6a.metal.untuned.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>
</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 &amp; 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>