mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-21 23:21:59 +00:00
3084 lines
82 KiB
HTML
3084 lines
82 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>ClickBench — a Benchmark For Analytical DBMS</title>
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Inter&display=swap" rel="stylesheet">
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<style>
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html, body {
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width: 100%;
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height: 100%;
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margin: 0;
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overflow: auto;
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box-sizing: border-box;
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}
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body {
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font-family: 'Inter', sans-serif;
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padding: 1% 3% 0 3%;
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}
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table {
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border-spacing: 1px;
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}
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.stick-left {
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position: sticky;
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left: 0px;
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}
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.selectors-container {
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padding: 2rem 0 2rem 0;
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user-select: none;
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}
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.selectors-container th {
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text-align: left;
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vertical-align: top;
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white-space: nowrap;
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padding-top: 0.5rem;
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padding-right: 1rem;
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}
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.selector {
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display: inline-block;
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margin-left: 0.1rem;
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padding: 0.2rem 0.5rem 0.2rem 0.5rem;
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background: #EEE;
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color: black;
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border: 0.2rem solid white;
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border-radius: 0.5rem;
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}
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.selector-active {
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background: #FFCB80;
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}
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a, a:visited {
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text-decoration: none;
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color: #08F;
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cursor: pointer;
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}
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a:hover {
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color: #F40;
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font-weight: bold;
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}
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.selector:hover {
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background: #EEE;
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}
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.selector-active:hover {
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background: #FDB;
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}
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#summary tr:nth-child(odd) {
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background: #F8F8F8;
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}
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.summary-name {
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white-space: nowrap;
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text-align: right;
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padding-right: 1rem;
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}
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.summary-bar-cell {
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width: 100%;
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}
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.summary-bar {
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height: 1rem;
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background: #FFCB80;
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border-radius: 0 0.2rem 0.2rem 0;
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}
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.summary-number {
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font-family: monospace;
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text-align: right;
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padding-left: 1rem;
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white-space: nowrap;
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}
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th {
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padding-bottom: 0.5rem;
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}
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.th-entry-hilite {
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background: #EEE;
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font-weight: bold;
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}
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.summary-row:hover, .summary-row-hilite {
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background: #EEE !important;
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font-weight: bold;
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}
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#details {
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padding-bottom: 1rem;
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}
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#details th {
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vertical-align: bottom;
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white-space: pre;
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}
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#details td {
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text-align: right;
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.shadow:hover {
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box-shadow: 0 0 1rem gray;
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position: relative;
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}
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#legend {
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font-family: monospace;
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min-height: 4rem;
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padding: 0.5rem;
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margin-bottom: 1rem;
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background: #FED;
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border: 1px solid #FFCB80;
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}
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#nothing-selected {
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display: none;
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font-size: 32pt;
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font-weight: bold;
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color: #CCC;
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}
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.note {
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position: relative;
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display: inline-block;
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}
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.tooltip {
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position: absolute;
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bottom: calc(100% + 0.5rem);
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left: calc(50% - 0.25rem);
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visibility: hidden;
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background-color: black;
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color: white;
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box-shadow: 0 0 1rem gray;
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padding: 0.5rem 0.75rem;
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border-radius: 0.5rem;
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z-index: 1;
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width: 20rem;
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margin-left: -10rem;
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text-align: left;
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white-space: normal;
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}
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.note:hover .tooltip {
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visibility: visible;
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}
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.tooltip::after {
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content: " ";
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position: absolute;
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top: 100%;
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left: 50%;
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margin-left: -1rem;
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border-width: 0.5rem;
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border-style: solid;
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border-color: black transparent transparent transparent;
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}
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</style>
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<script type="text/javascript">
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const queries = [
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"SELECT COUNT(*) FROM hits;",
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"SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;",
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"SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;",
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"SELECT AVG(UserID) FROM hits;",
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"SELECT COUNT(DISTINCT UserID) FROM hits;",
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"SELECT COUNT(DISTINCT SearchPhrase) FROM hits;",
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"SELECT MIN(EventDate), MAX(EventDate) FROM hits;",
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"SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;",
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"SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;",
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"SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;",
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"SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;",
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"SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;",
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"SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
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"SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;",
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"SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;",
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"SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;",
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"SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;",
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"SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;",
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"SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;",
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"SELECT UserID FROM hits WHERE UserID = 435090932899640449;",
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"SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';",
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"SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
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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;",
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"SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;",
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"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;",
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||
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;",
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||
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;",
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"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;",
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"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;",
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"SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), ..., SUM(ResolutionWidth + 89) FROM hits;",
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"SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;",
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"SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;",
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"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;",
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"SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;",
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"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;",
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"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;",
|
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"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;",
|
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"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;",
|
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"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;",
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"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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{
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"system": "Athena (partitioned)",
|
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"date": "2022-07-01",
|
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"machine": "serverless",
|
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"cluster_size": "serverless",
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"comment": "",
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|
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"tags": ["stateless", "managed", "Java", "column-oriented"],
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"load_time": 0,
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"data_size": 13800000000,
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"result": [
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}
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,
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{
|
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"system": "Athena (single)",
|
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"date": "2022-07-01",
|
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"machine": "serverless",
|
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"cluster_size": "serverless",
|
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"comment": "",
|
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|
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"tags": ["stateless", "managed", "Java", "column-oriented"],
|
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|
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|
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]
|
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}
|
||
,
|
||
{
|
||
"system": "Aurora for MySQL",
|
||
"date": "2022-07-01",
|
||
"machine": "16acu",
|
||
"cluster_size": 1,
|
||
"comment": "Some queries cannot run due to ERROR 1114 (HY000) at line 1: The table '/rdsdbdata/tmp/#sqlaff_e5_0' is full",
|
||
|
||
"tags": ["managed", "C++", "MySQL compatible", "row-oriented"],
|
||
|
||
"load_time": 7687.318,
|
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"data_size": 89614492631,
|
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|
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"result": [
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|
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|
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]
|
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}
|
||
,
|
||
{
|
||
"system": "Aurora for PostgreSQL",
|
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|
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||
"comment": "",
|
||
|
||
"tags": ["column-oriented"],
|
||
|
||
"load_time": 12239,
|
||
"data_size": 22597367016,
|
||
|
||
"result": [
|
||
[0.031357,0.020759,0.019373],
|
||
[0.156612,0.033543,0.032149],
|
||
[0.404881,0.124383,0.124252],
|
||
[0.220711,0.074036,0.070379],
|
||
[2.19663,2.18441,2.1763],
|
||
[11.5901,11.4847,11.4573],
|
||
[0.160286,0.063093,0.064844],
|
||
[0.116135,0.047536,0.046322],
|
||
[2.36592,2.15174,2.15675],
|
||
[4.42049,4.37322,4.38596],
|
||
[1.24771,1.17476,1.21011],
|
||
[1.30116,1.24332,1.24521],
|
||
[14.0523,13.9236,13.9943],
|
||
[39.8961,39.7911,39.771],
|
||
[14.6776,14.5524,14.5899],
|
||
[2.82581,2.71968,2.72123],
|
||
[48.4932,48.4037,48.4298],
|
||
[36.8767,36.7432,36.9178],
|
||
[108.743,108.81,108.671],
|
||
[0.02734,0.018601,0.018892],
|
||
[8.98822,4.2958,4.38323],
|
||
[10.0097,4.31009,4.26843],
|
||
[14.2354,5.48257,5.47171],
|
||
[3.29109,0.405847,0.337797],
|
||
[0.088318,0.079666,0.091852],
|
||
[1.05864,1.26979,1.81786],
|
||
[0.087436,0.092269,0.087506],
|
||
[15.0424,15.0873,15.2561],
|
||
[22.1566,22.1208,21.9509],
|
||
[2.59797,2.46053,2.46406],
|
||
[3.63938,3.68086,3.68988],
|
||
[6.58816,4.84546,4.8853],
|
||
[20.7209,20.4806,20.5823],
|
||
[77.3779,78.1301,77.4366],
|
||
[77.2494,77.646,77.4976],
|
||
[6.79571,6.81133,6.67973],
|
||
[0.887148,0.782822,0.753053],
|
||
[0.369373,0.339676,0.338677],
|
||
[0.099038,0.089598,0.099019],
|
||
[2.15693,2.01152,2.00868],
|
||
[0.096018,0.052062,0.053813],
|
||
[0.058647,0.046352,0.045415],
|
||
[0.106915,0.077122,0.076134]
|
||
]
|
||
}
|
||
]; // end of data
|
||
</script>
|
||
</head>
|
||
<body>
|
||
|
||
<div class="header stick-left">
|
||
<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://clickhouse.com/benchmark/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 & 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>
|
||
|
||
<div id="legend" class="stick-left comparison"></div>
|
||
|
||
<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": [],
|
||
};
|
||
|
||
/// 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] = true; }
|
||
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.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.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';
|
||
|
||
let link = document.createElement('a');
|
||
link.appendChild(document.createTextNode(`${elem.system} (${elem.machine})`));
|
||
link.href = "https://github.com/ClickHouse/ClickBench/" + elem.system;
|
||
|
||
td_name.appendChild(link);
|
||
if (elem.comment) { td_name.appendChild(addNote(elem.comment)); }
|
||
td_name.appendChild(document.createTextNode(': '));
|
||
|
||
const ratio = summaries[idx];
|
||
const percentage = summaries[idx] / max_ratio * 100;
|
||
|
||
let td_number = document.createElement('td');
|
||
td_number.className = 'summary-number';
|
||
|
||
const text = selectors.metric == 'load' ? (elem.load_time ? `${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 = `${percentage}%`;
|
||
|
||
td_bar.appendChild(bar);
|
||
|
||
tr.appendChild(td_name);
|
||
tr.appendChild(td_bar);
|
||
tr.appendChild(td_number);
|
||
table.appendChild(tr);
|
||
});
|
||
|
||
return [sorted_indices, baseline_data];
|
||
}
|
||
|
||
function colorize(elem, ratio) {
|
||
let [r, g, b] = [0, 0, 0];
|
||
|
||
/// ratio less than 1 - green
|
||
/// ratio from 1 to 10 - green to yellow
|
||
/// ratio from 10 to 100 - yellow to red
|
||
/// ratio from 100 to 1000 to infinity - red to brown to black
|
||
|
||
/// Note: we are using RGB space without proper gamma correction. Read more: https://www.handprint.com/HP/WCL/color1.html
|
||
|
||
if (ratio !== null) {
|
||
if (ratio < 1) {
|
||
r = 232;
|
||
g = 255;
|
||
b = 232;
|
||
} else if (ratio <= 1) {
|
||
g = 255;
|
||
} else if (ratio <= 2) {
|
||
g = 255;
|
||
r = (ratio - 1) * 255;
|
||
} else if (ratio <= 10) {
|
||
g = (10 - ratio) / 9 * 255;
|
||
r = 255;
|
||
} else {
|
||
r = (1 - ((ratio - 10) / ((ratio - 10) + 1000))) * 255;
|
||
}
|
||
}
|
||
|
||
elem.style.backgroundColor = `rgb(${r}, ${g}, ${b})`;
|
||
if (ratio === null || ratio > 10) {
|
||
/// This will look better on dark backgrounds
|
||
elem.style.color = 'white';
|
||
}
|
||
|
||
/// 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');
|
||
|
||
const [sorted_indices, baseline_data] = renderSummary(filtered_data);
|
||
|
||
/// 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(${elem.machine})`));
|
||
th.className = 'th-entry';
|
||
th.dataset.system = elem.system;
|
||
details_head.appendChild(th);
|
||
});
|
||
|
||
/// Load times
|
||
{
|
||
let tr = document.createElement('tr');
|
||
tr.className = 'shadow';
|
||
|
||
let td_title = document.createElement('td');
|
||
td_title.colSpan = 2;
|
||
td_title.appendChild(document.createTextNode('Load time: '));
|
||
tr.appendChild(td_title);
|
||
|
||
sorted_indices.map(idx => {
|
||
const curr_timing = filtered_data[idx].load_time;
|
||
const baseline_timing = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
|
||
const ratio = curr_timing / baseline_timing;
|
||
|
||
let td = document.createElement('td');
|
||
td.appendChild(document.createTextNode(curr_timing ? `${curr_timing.toFixed(2)} (×${ratio.toFixed(2)})` : '0'));
|
||
|
||
colorize(td, ratio);
|
||
tr.appendChild(td);
|
||
});
|
||
|
||
details_body.appendChild(tr);
|
||
}
|
||
|
||
/// Data sizes
|
||
{
|
||
let tr = document.createElement('tr');
|
||
tr.className = 'shadow';
|
||
|
||
let td_title = document.createElement('td');
|
||
td_title.colSpan = 2;
|
||
td_title.appendChild(document.createTextNode('Data size: '));
|
||
tr.appendChild(td_title);
|
||
|
||
sorted_indices.map(idx => {
|
||
const curr_size = filtered_data[idx].data_size;
|
||
const baseline_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
|
||
const ratio = curr_size !== null ? curr_size / baseline_size : null;
|
||
|
||
let td = document.createElement('td');
|
||
td.appendChild(document.createTextNode(curr_size !== null ? `${(curr_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})` : '☠'));
|
||
|
||
colorize(td, ratio);
|
||
tr.appendChild(td);
|
||
});
|
||
|
||
details_body.appendChild(tr);
|
||
}
|
||
|
||
/// Query runtimes
|
||
const num_queries = filtered_data[0].result.length;
|
||
|
||
for (let query_num = 0; query_num < num_queries; ++query_num) {
|
||
let tr = document.createElement('tr');
|
||
tr.className = 'shadow';
|
||
|
||
let td_checkbox = document.createElement('td');
|
||
let checkbox = document.createElement('input');
|
||
checkbox.type = 'checkbox';
|
||
checkbox.className = 'query-checkbox';
|
||
checkbox.checked = true;
|
||
checkbox.addEventListener('change', e => {
|
||
selectors.queries[query_num] = e.target.checked;
|
||
renderSummary(filtered_data);
|
||
updateHistory();
|
||
});
|
||
td_checkbox.appendChild(checkbox);
|
||
tr.appendChild(td_checkbox);
|
||
|
||
let td_query_num = document.createElement('td');
|
||
td_query_num.appendChild(document.createTextNode(`Q${query_num}. `));
|
||
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 ? `${curr_timing.toFixed(2)} (×${ratio.toFixed(2)})` : '☠'));
|
||
|
||
colorize(td, ratio);
|
||
tr.appendChild(td);
|
||
});
|
||
|
||
tr.addEventListener('mouseover', e => {
|
||
let legend = document.getElementById('legend');
|
||
legend.innerText = `Query ${query_num}: ${queries[query_num]}`;
|
||
});
|
||
|
||
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>
|