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2244 lines
64 KiB
HTML
2244 lines
64 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<meta charset='UTF-8' />
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<title>Performance comparison of analytical DBMS</title>
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<style type='text/css'>
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@font-face {
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font-family:'Yandex Sans Display Web';
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font-weight:400;
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#diagram table tr td {
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#diagram table tr td:last-child {
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#diagram table tr:last-child td {
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border-bottom: 1px solid #EEE;
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</style>
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</head>
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<body>
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<script type="text/javascript">
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function getParams() {
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var matches = document.cookie.match(/yandex_login=([\w\-]+)/);
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return (matches && matches.length == 2) ? { "login": matches[1] } : {};
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}
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</script>
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<!-- Yandex.Metrika counter -->
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<script type="text/javascript">
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(function (d, w, c) {
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(w[c] = w[c] || []).push(function() {
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try {
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w.yaCounter18343495 = new Ya.Metrika2({
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id:18343495,
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clickmap:true,
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webvisor:true
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})(document, window, "yandex_metrika_callbacks2");
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</script>
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<noscript><div><img src="https://mc.yandex.ru/watch/18343495" style="position:absolute; left:-9999px;" alt="" /></div></noscript>
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<!-- /Yandex.Metrika counter -->
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<script type="text/javascript">
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var queries =
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[
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{
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"query": "SELECT count() FROM hits",
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"comment": "",
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},
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{
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"query": "SELECT count() FROM hits WHERE AdvEngineID != 0",
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"comment": "",
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},
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{
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"query": "SELECT sum(AdvEngineID), count(), avg(ResolutionWidth) FROM hits",
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{
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"query": "SELECT uniq(UserID) FROM hits",
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{
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{
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"comment": "",
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{
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"query": "SELECT SearchPhrase, count() AS c FROM hits WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT SearchPhrase, uniq(UserID) AS u FROM hits WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10",
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{
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"comment": "",
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{
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"query": "SELECT UserID, count() FROM hits GROUP BY UserID ORDER BY count() DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT UserID FROM hits WHERE UserID = 12345678901234567890",
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{
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"query": "SELECT count() FROM hits WHERE URL LIKE '%metrika%'",
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{
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"query": "SELECT SearchPhrase, any(URL), count() AS c FROM hits WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT SearchPhrase, any(URL), any(Title), count() AS c, uniq(UserID) FROM hits WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT * FROM hits WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10",
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"comment": "",
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{
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"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10",
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"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10",
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{
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"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10",
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"comment": "",
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},
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{
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"query": "SELECT CounterID, avg(length(URL)) AS l, count() AS c FROM hits WHERE URL != '' GROUP BY CounterID HAVING c > 100000 ORDER BY l DESC LIMIT 25",
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"comment": "",
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},
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{
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"query": "SELECT domainWithoutWWW(Referer) AS key, avg(length(Referer)) AS l, count() AS c, any(Referer) FROM hits WHERE Referer != '' GROUP BY key HAVING c > 100000 ORDER BY l DESC LIMIT 25",
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"comment": "",
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},
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{
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"query": "SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits",
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"comment": "",
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"comment": "",
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{
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"query": "SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10",
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"comment": "",
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},
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{
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"query": "SELECT URL, count() AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10",
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"comment": "",
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},
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{
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"query": "SELECT 1, URL, count() AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10",
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"comment": "",
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},
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{
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"query": "SELECT ClientIP AS x, x - 1, x - 2, x - 3, count() AS c FROM hits GROUP BY x, x - 1, x - 2, x - 3 ORDER BY c DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT URL, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT DontCountHits AND NOT Refresh AND notEmpty(URL) GROUP BY URL ORDER BY PageViews DESC LIMIT 10",
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"comment": "",
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},
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{
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"query": "SELECT Title, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT DontCountHits AND NOT Refresh AND notEmpty(Title) GROUP BY Title ORDER BY PageViews DESC LIMIT 10",
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"comment": "",
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{
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"query": "SELECT URL, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND IsLink AND NOT IsDownload GROUP BY URL ORDER BY PageViews DESC LIMIT 1000",
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"comment": "",
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{
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"query": "SELECT TraficSourceID, SearchEngineID, AdvEngineID, ((SearchEngineID = 0 AND AdvEngineID = 0) ? Referer : '') AS Src, URL AS Dst, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000",
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"comment": "",
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{
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"query": "SELECT URLHash, EventDate, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND TraficSourceID IN (-1, 6) AND RefererHash = halfMD5('http://yandex.ru/') GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100",
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"comment": "",
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"query": "SELECT WindowClientWidth, WindowClientHeight, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND NOT DontCountHits AND URLHash = halfMD5('http://yandex.ru/') GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10000;",
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"comment": "",
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{
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"query": "SELECT toStartOfMinute(EventTime) AS Minute, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-02') AND NOT Refresh AND NOT DontCountHits GROUP BY Minute ORDER BY Minute;",
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"comment": "",
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}
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]
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var results =
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[
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{
|
|
"system": "ClickHouse",
|
|
"version": "1.1.53960",
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|
"data_size": 10000000,
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"time": "2016-06-01 03:00:00",
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"comments": "FORMAT Null",
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"result":
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[
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[0.098, 0.003, 0.003],
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[0.062, 0.003, 0.003],
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[0.137, 0.009, 0.009],
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[0.198, 0.008, 0.008],
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[0.132, 0.031, 0.031],
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[0.195, 0.049, 0.047],
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[0.057, 0.007, 0.006],
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|
|
[6.84, 5.31, 7.67],
|
|
[15.33, 16.31, 15.42],
|
|
[3.18, 4.29, 3.59],
|
|
[8.47, 8.73, 9.91],
|
|
[10.40, 8.38, 9.67],
|
|
[10.68, 8.16, 7.90],
|
|
[50.37, 32.46, 30.45],
|
|
[5.21, 3.64, 4.13],
|
|
[5.47, 5.68, 5.91],
|
|
[4.33, 3.20, 3.83],
|
|
[10.76, 11.14, 11.22],
|
|
[18.45, 17.26, 16.28],
|
|
[96.58, 97.29, 92.61],
|
|
[7.23, 7.36, 7.57],
|
|
[10.35, 8.20, 9.87],
|
|
[38.32, 37.57, 40.99],
|
|
[16.27, 15.24, 16.74],
|
|
[15.90, 15.33, 16.27],
|
|
[13.44, 13.84, 13.24],
|
|
[1.92, 1.16, 1.10],
|
|
[1.88, 1.16, 1.10],
|
|
[1.87, 1.07, 0.98],
|
|
[2.71, 1.22, 1.22],
|
|
[1.71, 0.97, 1.07],
|
|
[2.44, 1.78, 1.68],
|
|
[2.19, 1.72, 2.24]
|
|
]
|
|
},
|
|
{
|
|
"system": "Greenplum",
|
|
"version": "4.3.9.1",
|
|
"data_size": 1000000000,
|
|
"time": "",
|
|
"comments": "",
|
|
"result":
|
|
[
|
|
[29.01, 32.82, 30.09],
|
|
[20.93, 22.20, 20.63],
|
|
[34.41, 35.26, 36.59],
|
|
[44.01, 41.56, 41.36],
|
|
[36.87, 35.96, 39.32],
|
|
[46.44, 50.24, 45.50],
|
|
[29.22, 31.75, 30.19],
|
|
[20.58, 20.76, 24.18],
|
|
[56.29, 56.67, 57.36],
|
|
[79.13, 81.78, 78.60],
|
|
[32.11, 33.21, 29.69],
|
|
[33.69, 29.92, 30.92],
|
|
[44.85, 42.52, 40.64],
|
|
[63.16, 63.16, 64.79],
|
|
[47.16, 43.26, 42.45],
|
|
[41.04, 43.67, 41.76],
|
|
[63.45, 64.64, 60.74],
|
|
[48.56, 51.07, 48.81],
|
|
[79.89, 81.48, 81.27],
|
|
[25.73, 29.27, 31.48],
|
|
[72.20, 75.93, 71.44],
|
|
[74.50, 73.46, 74.82],
|
|
[81.19, 80.76, 78.67],
|
|
[339.14, 296.80, 296.95],
|
|
[28.51, 31.36, 28.67],
|
|
[36.49, 36.47, 38.96],
|
|
[31.26, 29.18, 31.65],
|
|
[80.03, 83.33, 80.84],
|
|
[73.36, 73.27, 73.57],
|
|
[961.62, 935.00, 944.02],
|
|
[51.55, 50.44, 45.14],
|
|
[73.03, 72.86, 70.11],
|
|
[29.24, 28.79, 29.78],
|
|
[37.51, 39.70, 39.66],
|
|
[53.86, 53.37, 53.77],
|
|
[84.54, 84.86, 85.62],
|
|
[7.01, 1.93, 2.16],
|
|
[5.39, 1.55, 1.69],
|
|
[6.85, 1.43, 1.57],
|
|
[13.18, 3.17, 3.08],
|
|
[5.97, 1.30, 1.47],
|
|
[5.69, 2.12, 1.96],
|
|
[4.11, 2.27, 2.43]
|
|
]
|
|
}
|
|
];
|
|
|
|
</script>
|
|
|
|
<script type="text/javascript">
|
|
|
|
var data_sizes =
|
|
[
|
|
{ id: "10000000", name: "10 mln." },
|
|
{ id: "100000000", name: "100 mln." },
|
|
{ id: "1000000000", name: "1 bn." }
|
|
];
|
|
|
|
var current_data_size = 1000000000;
|
|
|
|
var systems = [];
|
|
var systems_uniq = {};
|
|
for (r in results) {
|
|
if (systems_uniq[results[r].system])
|
|
continue;
|
|
systems_uniq[results[r].system] = 1;
|
|
systems.push(results[r].system);
|
|
}
|
|
|
|
var current_systems = ["ClickHouse", "Vertica", "InfiniDB", "Hive"];
|
|
|
|
var runs = ["first (cold cache)", "second", "third"];
|
|
var current_runs = ['0', '1'];
|
|
|
|
try {
|
|
var state = JSON.parse(window.location.hash.substring(1));
|
|
|
|
current_data_size = state[0];
|
|
current_systems = state[1];
|
|
current_runs = state[2];
|
|
} catch (e) {}
|
|
|
|
function update_hash() {
|
|
window.location.hash = JSON.stringify([ current_data_size, current_systems, current_runs ]);
|
|
}
|
|
|
|
|
|
function generate_selectors(elem) {
|
|
var html = "<p id='systems_selector'>Compare: ";
|
|
|
|
var available_systems_for_current_data_size = results.
|
|
filter(function(run) { return run.data_size == current_data_size; }).
|
|
map(function(run) { return run.system; });
|
|
|
|
for (var i = 0; i < systems.length; i++) {
|
|
var selected = current_systems.indexOf(systems[i]) != -1;
|
|
var available = available_systems_for_current_data_size.indexOf(systems[i]) != -1;
|
|
|
|
html += "<span class='" +
|
|
(selected && available ? "selected" : "") +
|
|
(available ? "" : " disabled") +
|
|
"'>" + systems[i] + "</span> ";
|
|
}
|
|
|
|
html += "</p>";
|
|
html += "<p id='data_size_selector'>";
|
|
|
|
html += "Dataset size: ";
|
|
|
|
for (var i = 0; i < data_sizes.length; i++) {
|
|
html += "<span class='" + (data_sizes[i].id == current_data_size ? "selected" : "") + "' data-size-id='" + data_sizes[i].id + "'>" + data_sizes[i].name + "</span> ";
|
|
}
|
|
|
|
html += "</p>";
|
|
html += "<p id='runs_selector'>";
|
|
|
|
html += "Run number: ";
|
|
|
|
for (var i = 0; i < runs.length; i++) {
|
|
html += "<span class='" + (current_runs.indexOf(String(i)) != -1 ? "selected" : "") + "' data-run-id='" + i + "'>" + runs[i] + "</span> ";
|
|
}
|
|
|
|
html += "</p>";
|
|
|
|
elem.html(html);
|
|
|
|
$('#systems_selector span:not(.disabled)').click(function(event) {
|
|
var target = $(event.target || event.srcElement);
|
|
|
|
if (target.hasClass("selected") && current_systems.length == 1) {
|
|
return;
|
|
}
|
|
|
|
target.toggleClass("selected");
|
|
|
|
current_systems = $.map($('#systems_selector span'), function(elem) {
|
|
return $(elem).hasClass("selected") ? $(elem).html() : null }).filter(function(x) { return x; });
|
|
|
|
update_hash();
|
|
generate_selectors(elem);
|
|
generate_comparison_table();
|
|
generate_diagram();
|
|
});
|
|
|
|
$('#data_size_selector span').click(function(event) {
|
|
var target = $(event.target || event.srcElement);
|
|
|
|
current_data_size = target.attr("data-size-id");
|
|
|
|
update_hash();
|
|
generate_selectors(elem);
|
|
generate_comparison_table();
|
|
generate_diagram();
|
|
});
|
|
|
|
$('#runs_selector span').click(function(event) {
|
|
var target = $(event.target || event.srcElement);
|
|
|
|
if (target.hasClass("selected") && current_runs.length == 1) {
|
|
return;
|
|
}
|
|
|
|
target.toggleClass("selected");
|
|
|
|
current_runs = $.map($('#runs_selector span'), function(elem) {
|
|
return $(elem).hasClass("selected") ? $(elem).attr("data-run-id") : null }).filter(function(x) { return x; });
|
|
|
|
update_hash();
|
|
generate_selectors(elem);
|
|
generate_comparison_table();
|
|
generate_diagram();
|
|
});
|
|
};
|
|
|
|
|
|
function format_number_cell(value, ratio) {
|
|
var html = "";
|
|
|
|
var redness = (ratio - 1) / ratio;
|
|
var blackness = ratio < 10 ? 0 : ((ratio - 10) / ratio / 2);
|
|
|
|
var color = !value ? "#FFF" :
|
|
ratio == 1 ?
|
|
("rgba(0, 255, 0, 1)") :
|
|
("rgba(" + ~~(255 * (1 - blackness)) + ", 0, 0, " + redness + ")");
|
|
|
|
html += "<td class='number_cell' style='background-color: " + color + "'>";
|
|
html += value ?
|
|
(ratio == 1 ? "" : ("x" + ratio.toFixed(2))) + " <span style='color: #888;'>(" + value.toFixed(3) + " s.)</span>" :
|
|
"—";
|
|
html += "</td>";
|
|
|
|
return html;
|
|
}
|
|
|
|
|
|
/* Отношения времени выполнения запроса к лучшему времени по системам:
|
|
* номер системы -> номер запуска -> номер запроса -> отношение.
|
|
*/
|
|
var ratios = [];
|
|
|
|
|
|
function generate_comparison_table() {
|
|
ratios = [];
|
|
|
|
var filtered_results = results.filter(function(x) {
|
|
return x.data_size == current_data_size && current_systems.indexOf(x.system) != -1; });
|
|
|
|
var html = "";
|
|
|
|
html += "<table class='comparison_table'>";
|
|
|
|
html += "<tr>";
|
|
html += "<th><input id='query_checkbox_toggler' type='checkbox' checked /></th>";
|
|
html += "<th style='text-align: left;'>Query</th>";
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
html += "<th colspan='" + current_runs.length + "'>" + filtered_results[j].system +
|
|
(filtered_results[j].version ? " (" + filtered_results[j].version + ")" : "") + "</th>";
|
|
}
|
|
html += "</tr>";
|
|
|
|
for (var i = 0; i < queries.length; i++) {
|
|
html += "<tr>";
|
|
html += "<td><input id='query_checkbox" + i + "' type='checkbox' " +
|
|
($('#query_checkbox' + i).length == 0 || $('#query_checkbox' + i).is(':checked') ? "checked" : "") + " /></td>";
|
|
|
|
html += "<td><div class='query_cell'>" + queries[i].query + "</div></td>";
|
|
|
|
// Вычислим максимальное и минимальное время выполнения по системам, для каждого из трёх прогонов.
|
|
var minimums = [0, 0, 0], maximums = [0, 0, 0];
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
|
|
var k = current_runs[current_run_idx];
|
|
var value = filtered_results[j].result[i][k];
|
|
|
|
if (value && (!minimums[k] || value < minimums[k])) {
|
|
minimums[k] = value;
|
|
|
|
// Меньше 10 мс. не различаем.
|
|
if (minimums[k] < 0.01) {
|
|
minimums[k] = 0.01;
|
|
}
|
|
}
|
|
|
|
if (value > maximums[k]) {
|
|
maximums[k] = value;
|
|
}
|
|
}
|
|
}
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
if (!ratios[j]) {
|
|
ratios[j] = [];
|
|
}
|
|
|
|
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
|
|
var k = current_runs[current_run_idx];
|
|
var value = filtered_results[j].result[i][k];
|
|
|
|
var ratio = value / minimums[k];
|
|
|
|
ratios[j][k] = ratios[j][k] || [];
|
|
|
|
if (ratio && ratio <= 1) {
|
|
ratio = 1;
|
|
}
|
|
|
|
ratios[j][k].push(ratio);
|
|
|
|
html += format_number_cell(value, ratio);
|
|
}
|
|
}
|
|
html += "</tr>";
|
|
}
|
|
|
|
if (current_systems.length) {
|
|
html += "<tr>";
|
|
html += "<td rowspan='2'></td>";
|
|
html += "<td rowspan='2'><div class='query_cell'>Geometric mean of ratios</div></td>";
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
for (var k = 0; k < current_runs.length; k++) {
|
|
html += "<th id='totals" + j + "_" + current_runs[k] + "' class='number_cell' style='text-align: center; background-color: #FFF; font-weight: bold;'></th>";
|
|
}
|
|
}
|
|
|
|
html += "</tr>";
|
|
html += "<tr>";
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
html += "<th id='absolute_totals" + j + "' colspan='" + current_runs.length + "' class='number_cell' style='text-align: center; background-color: #FFF; font-weight: bold;'></th>";
|
|
}
|
|
|
|
html += "</tr>";
|
|
}
|
|
|
|
html += "</table>";
|
|
|
|
$('#comparison_table').html(html);
|
|
|
|
for (var i = 0; i < queries.length; i++) {
|
|
$('#query_checkbox' + i).click(function() { calculate_totals(); generate_diagram(); } );
|
|
}
|
|
$('#query_checkbox_toggler').click(function() {
|
|
for (var i = 0; i < queries.length; i++) {
|
|
var item = $('#query_checkbox' + i);
|
|
item.prop("checked", !item.prop("checked"));
|
|
}
|
|
});
|
|
|
|
calculate_totals();
|
|
}
|
|
|
|
|
|
function calculate_totals() {
|
|
if (!current_systems.length) return;
|
|
|
|
var filtered_results = results.filter(function(x) {
|
|
return x.data_size == current_data_size && current_systems.indexOf(x.system) != -1; });
|
|
|
|
var total_ratios = [];
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
|
|
var k = current_runs[current_run_idx];
|
|
|
|
var current_ratios = ratios[j][k].filter(
|
|
function(x, i) { return x && $("#query_checkbox" + i).is(':checked'); })
|
|
|
|
var ratio = Math.pow(
|
|
current_ratios.reduce(
|
|
function(acc, cur) { return acc * cur; },
|
|
1),
|
|
1 / current_ratios.length);
|
|
|
|
total_ratios[j] = total_ratios[j] || 1;
|
|
total_ratios[j] *= ratio;
|
|
|
|
$("#totals" + j + "_" + k).attr("data-ratio", ratio).html("x" + ratio.toFixed(2));
|
|
}
|
|
}
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
var total_ratio = Math.pow(total_ratios[j], 1 / current_runs.length);
|
|
$("#absolute_totals" + j).attr("data-ratio", total_ratio).html("x" + total_ratio.toFixed(2));
|
|
}
|
|
}
|
|
|
|
|
|
function generate_diagram() {
|
|
var html = "";
|
|
|
|
var filtered_results = results.filter(function(x) {
|
|
return x.data_size == current_data_size && current_systems.indexOf(x.system) != -1; });
|
|
|
|
var max_ratio = 1;
|
|
var min_ratio = 0;
|
|
|
|
var max_total_ratio = 1;
|
|
var min_total_ratio = 0;
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
|
|
var k = current_runs[current_run_idx];
|
|
var ratio = +$("#totals" + j + "_" + k).attr("data-ratio");
|
|
|
|
if (ratio > max_ratio) {
|
|
max_ratio = ratio;
|
|
}
|
|
|
|
if (!min_ratio || ratio < min_ratio) {
|
|
min_ratio = ratio;
|
|
}
|
|
}
|
|
|
|
var total_ratio = +$("#absolute_totals" + j).attr("data-ratio");
|
|
|
|
if (total_ratio > max_total_ratio) {
|
|
max_total_ratio = total_ratio;
|
|
}
|
|
|
|
if (!min_total_ratio || total_ratio < min_total_ratio) {
|
|
min_total_ratio = total_ratio;
|
|
}
|
|
}
|
|
|
|
html += "<table style='width: 100%'>";
|
|
|
|
for (var j = 0; j < filtered_results.length; j++) {
|
|
var total_ratio = +$("#absolute_totals" + j).attr("data-ratio");
|
|
|
|
html += "<tr>";
|
|
html += "<td style='text-align: right;'><b>" + filtered_results[j].system + "</b>" +
|
|
(filtered_results[j].version ? "<br />(" + filtered_results[j].version.replace(/ /g, ' ') + ")" : "") + "</td>";
|
|
|
|
html += "<td style='width: 100%; padding-right: 20px;'>";
|
|
|
|
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
|
|
var k = current_runs[current_run_idx];
|
|
|
|
var ratio = +$("#totals" + j + "_" + k).attr("data-ratio");
|
|
var percents = (ratio * 100 / max_ratio).toFixed(2);
|
|
|
|
if (!ratio) {
|
|
ratio = +$("#absolute_totals" + j).attr("data-ratio");
|
|
percents = (ratio * 100 / max_total_ratio).toFixed(2);
|
|
}
|
|
|
|
html += "<div class='bar' style='width: " + percents + "%;'> </div>";
|
|
|
|
}
|
|
|
|
html += "</td>";
|
|
|
|
//min_total_ratio = 1;
|
|
//total_ratio = 1;
|
|
html += "<td style='text-align: right; font-weight: bold;'>" + (total_ratio / min_total_ratio).toFixed(2) + "</td>";
|
|
html += "</tr>";
|
|
}
|
|
|
|
html += "</table>";
|
|
|
|
$('#diagram').html(html);
|
|
}
|
|
|
|
|
|
</script>
|
|
|
|
<script type="text/javascript">
|
|
function getParams() {
|
|
var matches = document.cookie.match(/yandex_login=([\w\-]+)/);
|
|
return (matches && matches.length == 2) ? { "login": matches[1] } : {};
|
|
}
|
|
</script>
|
|
|
|
<!-- Yandex.Metrika counter -->
|
|
<script src="https://mc.yandex.ru/metrika/watch.js" type="text/javascript"></script>
|
|
<script type="text/javascript">
|
|
try { var yaCounter18343495 = new Ya.Metrika({id:18343495,
|
|
webvisor:true,
|
|
clickmap:true,
|
|
trackLinks:true,
|
|
accurateTrackBounce:true,
|
|
trackHash:true,
|
|
params: getParams()});
|
|
} catch(e) { }
|
|
</script>
|
|
<noscript><div><img src="https://mc.yandex.ru/watch/18343495" style="position:absolute; left:-9999px;" alt="" /></div></noscript>
|
|
<!-- /Yandex.Metrika counter -->
|
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<h1 class='title'>Performance comparison of analytical DBMS</h1>
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</div>
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<p>Most results are for single server setup. The server is: two socket Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz; 128 GiB RAM; md RAID-5 on 8 6TB SATA HDD; ext4.</p>
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<p>Some additional results (marked as x2, x3, x6) are for clustered setup for comparison. These results are contributed from independent teams and hardware specification may differ.</p>
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<p>Disclaimer: some results are significantly outdated. Results for MonetDB was obtained at 2013 for version v11.15.11 (Feb2013-SP3). Results for MemSQL was obtained at 2015 for version 3.2. Results for Vertica are from 2015 for version 7.1.1.</p>
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<div id='selectors'></div>
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<h2>Relative query processing time (lower is better):</h2>
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<div id='diagram' style='width: 100%;'></div>
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<br />
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<h2>Full results:</h2>
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<div id='comparison_table'></div>
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</div>
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<script type="text/javascript">
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generate_selectors($('#selectors'));
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generate_comparison_table();
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generate_diagram();
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</script>
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