mirror of
https://github.com/ClickHouse/ClickHouse.git
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957 lines
83 KiB
HTML
957 lines
83 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 rel="icon" href="data:image/gif;base64,R0lGODlhIAAgAOMPAHMUEmkyHOcbF8UvJts/E3BeOih1YziiQmebLt2AFjeyQKqZKNWPjLybfPfcDP///yH5BAEKAA8ALAAAAAAgACAAAATg8MlJ6ws26z0EGcQmZgAhnN6oPg0wDA0zrGMTAADDxEJCZ4Gba8c4hX4Uw+XWeYGOyMdhgkuYrAToqIBQHBCIKQ6wcJhPyINarUBcyuYE+ndQeOsKuNlxmv3CdnZfew5yAlEPC12BhFhZiBJ2CI1GkBMHeoV9PpYPhIUDBqIFnZ8EBaKplqYMqaqIewl8A6iupFF7C1YCoaJqq4UOWQIBBmtTuIQmWWxekJQeYWuWcFYPfl+dLAELOxML2hIYDeEWt7flEufknTZB7+8NBeyINxjqDwU4QYg26BTu6KVTEQEAOw==">
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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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:root {
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--color: black;
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--title-color: black;
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--background-color: white;
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--link-color: #08F;
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--link-hover-color: #F40;
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--selector-text-color: black;
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--selector-active-text-color: black;
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--selector-background-color: #EEE;
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--selector-active-background-color: #FFCB80;
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--selector-hover-text-color: black;
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--selector-hover-background-color: #FDB;
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--summary-every-other-row-color: #F8F8F8;
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--highlight-color: #EEE;
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--bar-color: #FFCB80;
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--tooltip-text-color: white;
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--tooltip-background-color: black;
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--nothing-selected-color: #CCC;
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--shadow-color: grey;
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}
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[data-theme="dark"] {
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--color: #CCC;
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--title-color: white;
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--background-color: #04293A;
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--link-color: #8CF;
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--link-hover-color: #FFF;
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--selector-text-color: white;
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--selector-background-color: #444;
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--selector-active-text-color: white;
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--selector-active-background-color: #088;
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--selector-hover-text-color: black;
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--selector-hover-background-color: white;
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--summary-every-other-row-color: #042e41;
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--highlight-color: #064663;
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--bar-color: #088;
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--tooltip-text-color: white;
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--tooltip-background-color: #444;
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--nothing-selected-color: #666;
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--shadow-color: black;
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}
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html, body {
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color: var(--color);
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background-color: var(--background-color);
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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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h1 {
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color: var(--title-color);
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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: var(--selector-background-color);
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color: var(--selector-text-color);
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border: 0.2rem solid var(--background-color);
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border-radius: 0.5rem;
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}
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.selector-active {
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color: var(--selector-active-text-color);
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background: var(--selector-active-background-color);
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}
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a, a:visited {
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text-decoration: none;
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color: var(--link-color);
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cursor: pointer;
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}
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a:hover {
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color: var(--link-hover-color);
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}
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.selector:hover {
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color: var(--selector-hover-text-color) !important;
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background: var(--selector-background-color);
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}
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.selector-active:hover {
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background: var(--selector-hover-background-color);
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}
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#summary tr:nth-child(odd) {
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background: var(--summary-every-other-row-color);
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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: var(--bar-color);
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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: var(--highlight-color);
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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: var(--highlight-color) !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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white-space: pre;
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font-family: monospace;
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text-align: right;
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padding: 0.1rem 0.5rem 0.1rem 0.5rem;
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}
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.shadow:hover {
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box-shadow: 0 0 1rem var(--shadow-color);
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position: relative;
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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: var(--nothing-selected-color);
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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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visibility: hidden;
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background-color: var(--tooltip-background-color);
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color: var(--tooltip-text-color);
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box-shadow: 0 0 1rem var(--shadow-color);
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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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text-align: left;
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white-space: normal;
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}
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.tooltip-result {
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left: calc(50% - 0.25rem);
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width: 20rem;
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margin-left: -10rem;
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}
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.tooltip-query {
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left: 0;
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width: 40rem;
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margin-left: -3rem;
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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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border-width: 0.5rem;
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border-style: solid;
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border-color: var(--tooltip-background-color) transparent transparent transparent;
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}
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.tooltip-result::after {
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left: 50%;
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margin-left: -1rem;
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}
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.tooltip-query::after {
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left: 3rem;
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margin-left: 0.5rem;
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}
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.nowrap {
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text-wrap: none;
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}
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.themes {
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float: right;
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font-size: 200%;
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cursor: pointer;
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}
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#toggle-dark, #toggle-light {
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padding-right: 0.5rem;
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cursor: pointer;
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}
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#toggle-dark:hover, #toggle-light:hover {
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display: inline-block;
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transform: translate(1px, 1px);
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filter: brightness(125%);
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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;",
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"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;",
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"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;",
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"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;",
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];
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const data = [
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{"system":"Athena (partitioned)","date":"2022-07-01","machine":"serverless","cluster_size":"serverless","comment":"","tags":["stateless","managed","Java","column-oriented"],"load_time":0,"data_size":13800000000,"result":[[2.777,3.275,2.925],[1.503,3.136,4.003],[4.544,3.833,3.64],[3.9,2.514,3.522],[3.46,2.186,3.244],[3.624,2.742,3.185],[2.21,1.984,3.123],[3.207,2.403,2.685],[2.936,2.014,3.869],[8.333,7.102,4.434],[7.401,4.697,3.155],[4.214,3.065,4.748],[6.207,4.213,2.576],[3.428,3.085,3.401],[2.92,3.3,3.278],[2.205,2.558,2.419],[4.641,3.888,2.155],[3.219,2.822,3.292],[3.23,3.579,4.31],[2.288,3.543,3.95],[3.032,2.859,2.807],[3.926,3.247,2.928],[4.477,4.048,4.392],[7.407,6.375,6.123],[2.611,2.872,2.827],[2.566,2.567,3.6],[3.673,3.733,2.925],[2.426,3.218,2.78],[5.125,3.778,4.25],[4.565,4.03,4.066],[3.628,3.219,2.953],[6.207,5.973,3.158],[4.339,5.601,4.234],[2.618,3.107,3.433],[4.661,2.79,2.846],[2.373,1.629,2.734],[2.721,2.15,1.962],[3.207,2.154,2.186],[2.453,2.477,3.217],[2.691,4.732,3.584],[2.589,2.613,3.231],[1.926,3.617,1.82],[1.506,2.404,2.343]],"source":"athena/results/partitioned.json"}
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,{"system":"Athena (single)","date":"2022-07-01","machine":"serverless","cluster_size":"serverless","comment":"","tags":["stateless","managed","Java","column-oriented"],"load_time":0,"data_size":13800000000,"result":[[2.268,1.327,2.137],[3.427,2.248,3.605],[3.254,2.548,2.316],[3.025,2.314,3.003],[2.264,2.876,4.213],[3.044,2.745,2.698],[2.732,2.199,2.659],[2.022,3.692,3.072],[2.746,2.477,2.785],[3.53,2.782,4.031],[2.709,2.047,2.853],[2.318,1.969,3.4],[2.635,1.935,2.707],[3.049,3.38,3.071],[3.661,2.387,2.476],[2.479,2.591,2.21],[3.093,3.698,4.351],[3.479,3.236,2.274],[4.36,2.97,3.457],[2.525,2.384,3.328],[3.34,3.174,3.409],[3.163,2.971,3.034],[2.999,3.539,2.906],[6.454,7.597,7.858],[2.754,1.951,2.645],[2.852,3.018,2.718],[2.513,2.678,2.417],[3.293,2.521,2.771],[4.392,3.863,3.981],[3.658,4.246,4.027],[3.028,3.87,2.337],[2.923,3.635,3.591],[3.142,4.105,3.15],[3.66,3.187,4.745],[2.652,2.695,2.742],[2.262,2.776,1.815],[1.881,2.212,2.053],[1.934,2.551,1.524],[2.069,2.26,1.805],[2.626,2.902,2.793],[1.791,2.082,2.481],[3.757,2.6,1.946],[2.608,1.994,3.967]],"source":"athena/results/single.json"}
|
||
,{"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,"data_size":89614492631,"result":[[740.42,739.91,746.65],[828.2,835.67,832.87],[830.08,830.98,832.38],[829.88,832.83,830.87],[845.99,842.4,843.21],[869.51,870.69,869.75],[823.77,829.08,825.54],[827.74,832.87,829.25],[916.26,909.46,929.17],[946.49,939.27,932.32],[852.37,857.69,854.74],[857.99,864.05,825.14],[null,null,null],[863.37,860.2,865.62],[null,null,null],[891.84,895.28,893.68],[null,null,null],[null,null,null],[1420.12,1419.34,1445.08],[28.94,0.21,0.21],[917.64,917.56,916.92],[923.47,921.7,923.82],[919.95,918.37,920.17],[1002.19,1002.07,1001.2],[902.23,902.65,901.8],[901.17,900.02,898.3],[900.04,898.89,903.35],[901.78,902.71,901.28],[null,null,null],[1153.29,1154,1156.46],[862.57,863.35,859.69],[923.14,921.1,923.92],[1370.78,1401.72,1401.44],[1454.67,1455.55,1458.79],[1463.31,1466.75,1461.83],[941.03,944.07,937.23],[7.42,2.8,2.77],[2.57,2.52,2.59],[1.5,1.52,1.59],[3.62,3.57,3.61],[0.95,0.94,0.94],[0.9,0.92,0.91],[1.69,1.72,1.69]],"source":"aurora-mysql/results/16acu.json"}
|
||
,{"system":"Aurora for PostgreSQL","date":"2022-07-01","machine":"16acu","cluster_size":1,"comment":"","tags":["managed","C","PostgreSQL compatible","row-oriented"],"load_time":2127,"data_size":52183852646,"result":[[12.8361,5.71812,5.8241],[61.2565,62.1402,63.7173],[68.0578,68.1218,67.609],[7.83207,5.90193,6.0461],[48.7194,48.0233,48.2198],[289.492,304.639,282.436],[6.30572,6.31857,6.21598],[53.644,53.8931,53.5307],[131.526,131.45,131.102],[137.724,136.921,137.758],[57.2079,56.2775,56.2152],[56.5349,56.2048,55.9569],[82.3897,82.8866,83.534],[97.0569,97.1392,96.4731],[85.6557,86.7783,86.2804],[49.4325,42.4309,42.5743],[111.537,114.59,111.807],[88.4322,89.3756,87.7899],[160.781,163.866,161.394],[1025.04,2.10165,2.10065],[106.741,56.2731,56.1535],[59.2681,59.5272,59.536],[58.6083,57.6054,57.3935],[54.8271,55.1397,56.3487],[54.718,52.469,53.271],[53.5387,53.1926,52.4008],[52.0042,51.9581,52.2453],[60.1317,59.9695,59.2187],[244.608,242.954,243.815],[91.8674,92.4165,91.5884],[63.7122,64.277,64.2783],[69.2596,68.9535,69.4508],[234.222,241.138,240.316],[488.169,462.257,460.466],[472.929,471.809,476.635],[103.664,116.131,103.467],[16.8124,3.34058,3.37782],[0.852414,0.832073,0.859857],[0.305464,0.31166,0.306694],[4.55625,4.54098,4.58501],[0.299746,0.297532,0.30334],[0.275732,0.279817,0.27766],[0.332107,0.324387,0.320099]],"source":"aurora-postgresql/results/16acu.json"}
|
||
,{"system":"BigQuery","date":"2022-07-01","machine":"serverless","cluster_size":"serverless","comment":"Looks like it shows uncompressed (billable) data size, and it is higher than CSV size","tags":["managed","column-oriented"],"load_time":519.485,"data_size":94410000000,"result":[[1.451,1.284,1.272],[1.462,1.23,1.318],[1.394,1.338,1.248],[1.248,1.41,1.377],[1.506,1.661,1.538],[1.581,1.709,1.639],[1.39,1.195,1.274],[1.431,1.362,1.378],[2.012,1.92,3.148],[3.104,3.118,3.111],[1.342,1.355,1.489],[1.374,1.443,1.349],[1.659,1.707,1.649],[3.086,3.123,4.189],[1.684,1.98,1.823],[1.899,1.654,1.704],[3.097,2.872,3.09],[3.193,3.091,3.073],[5.162,4.125,4.121],[1.362,1.183,1.171],[1.508,1.624,1.578],[1.537,1.554,1.484],[1.931,1.977,2.024],[3.135,3.141,3.182],[1.494,1.377,1.321],[1.342,1.49,1.348],[1.397,1.377,1.482],[3.084,3.115,3.11],[4.144,3.41,4.131],[3.086,3.129,3.094],[1.887,1.861,1.783],[2.068,1.837,1.938],[4.126,4.14,4.173],[3.103,3.106,3.117],[4.149,4.136,4.172],[3.111,3.127,1.988],[1.539,1.443,1.412],[1.213,1.202,1.252],[1.16,1.213,1.174],[1.723,1.747,1.764],[1.173,1.122,1.124],[1.164,1.162,1.098],[1.292,1.226,1.274]],"source":"bigquery/results/serverless.json"}
|
||
,{"system":"Citus","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","PostgreSQL compatible","column-oriented"],"load_time":1579,"data_size":18980918899,"result":[[7.58503,6.70447,6.52499],[6.33941,5.06063,5.00238],[11.7488,9.86417,9.93223],[12.6306,9.36305,9.17061],[40.6101,39.0803,38.1187],[117.654,113.912,113.441],[10.3404,8.08936,7.70732],[6.31542,4.72821,4.72989],[82.5425,77.2124,76.9219],[91.1776,83.4492,82.4727],[14.5474,10.0815,10.3873],[15.4899,11.2922,11.1877],[19.9794,15.5002,17.4492],[76.9216,72.5172,72.7915],[21.5446,17.5691,18.561],[56.9438,54.6387,53.5745],[75.0977,69.7842,70.0259],[31.3299,27.0267,26.3216],[129.417,122.956,121.182],[3.73386,2.14148,2.12737],[34.6021,27.9727,28.6878],[37.152,29.6193,29.2966],[52.2157,37.8589,37.6994],[181.955,149.08,148.471],[15.4687,11.3138,10.3856],[10.2779,8.46868,8.8324],[14.4687,10.4076,11.4263],[47.009,40.2969,39.6888],[749.946,742.979,744.461],[69.4383,67.5636,67.2128],[27.0317,21.4008,20.9524],[36.6675,25.6347,26.4408],[140.424,130.546,129.738],[106.959,92.033,90.1609],[110.98,94.4787,96.2656],[64.4474,60.1853,60.6816],[6.17549,6.25376,5.87004],[1.99153,1.81776,1.80596],[1.00141,0.800271,0.801975],[7.91778,7.70928,8.33299],[0.929845,0.642076,0.638478],[0.866536,0.683567,0.680218],[0.937823,0.784747,0.765929]],"source":"citus/results/c6a.4xlarge.json"}
|
||
,{"system":"clickhouse-local (partitioned)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","embedded","stateless","ClickHouse derivative"],"load_time":0,"data_size":14737666736,"result":[[0.85,0.102,0.114],[1.342,0.09,0.099],[2.547,0.179,0.189],[1.681,0.245,0.252],[2.704,1.68,1.648],[2.194,1.46,1.489],[0.832,0.113,0.102],[1.371,0.106,0.101],[2.24,0.79,0.825],[4.548,1.021,1.026],[3.094,0.552,0.552],[3.088,0.623,0.63],[2.017,1.17,1.165],[4.319,1.677,1.708],[2.157,1.496,1.5],[1.629,1.138,1.139],[5.026,3.267,3.241],[4.142,2.303,2.319],[8.295,5.569,5.629],[1.331,0.255,0.252],[10.712,3.668,3.786],[13.053,4.185,4.202],[24.17,7.935,8.008],[55.965,23.933,23.071],[4.417,0.947,0.974],[1.793,0.698,0.69],[4.376,0.955,0.956],[11.731,4.385,4.321],[11.403,8.549,8.288],[2.764,2.754,2.735],[5.096,1.262,1.273],[9.515,1.682,1.688],[10.325,6.745,6.608],[11.686,6.261,6.242],[11.769,6.301,6.364],[1.675,1.49,1.495],[14.937,3.631,3.604],[14.187,3.609,3.631],[14.842,3.769,3.741],[22.222,6.355,6.263],[7.212,0.836,0.838],[7.863,0.716,0.718],[5.12,0.587,0.574]],"source":"clickhouse-local/results/c6a.4xlarge.partitioned.json"}
|
||
,{"system":"clickhouse-local (single)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","embedded","stateless","ClickHouse derivative"],"load_time":0,"data_size":14779976446,"result":[[1.176,0.251,0.249],[1.037,0.134,0.111],[1.609,0.403,0.369],[1.616,0.372,0.37],[3.008,2.338,2.266],[9.061,7.537,7.535],[1.206,0.191,0.187],[0.882,0.144,0.135],[4.61,3.406,3.256],[6.712,4.479,4.469],[4.081,2.413,2.394],[3.894,2.719,2.691],[7.651,6.436,6.243],[10.765,8.043,7.894],[9.86,8.945,8.235],[7.159,5.815,5.814],[20.916,18.159,18.013],[20.952,17.862,17.85],[37.585,32.649,32.487],[1.767,0.401,0.393],[23.713,15.687,15.755],[28.7,19.241,19.198],[50.74,33.161,33.011],[152.485,117.417,118.178],[7.606,4.491,5.326],[4.331,4.214,3.587],[6.743,4.486,5.357],[22.91,15.043,15.183],[43.342,37.167,36.842],[11.807,4.49,4.546],[9.557,6.349,6.263],[13.964,8.493,8.464],[38.11,33.642,33.996],[41.266,35.08,27.073],[34.056,26.814,26.902],[8.855,7.548,7.475],[22.596,12.615,12.669],[23.217,13.956,13.831],[22.528,21.601,13.207],[37.89,23.115,22.955],[6.49,1.548,1.522],[6.413,1.474,1.416],[3.796,1.339,1.316]],"source":"clickhouse-local/results/c6a.4xlarge.single.json"}
|
||
,{"system":"ClickHouse","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","ClickHouse derivative"],"load_time":475.529,"data_size":14345515782,"result":[[0.027,0.001,0.001],[0.035,0.015,0.021],[0.083,0.034,0.033],[0.171,0.044,0.045],[1.552,1.495,1.574],[1.27,1.075,1.063],[0.045,0.026,0.025],[0.032,0.016,0.015],[0.717,0.615,0.607],[0.843,0.821,0.747],[0.293,0.219,0.216],[0.312,0.226,0.235],[0.804,0.694,0.702],[1.476,1.047,1.029],[1.013,0.898,0.911],[1.043,0.964,1.453],[3.632,2.715,2.711],[1.867,1.75,1.714],[5.187,4.797,4.953],[0.112,0.068,0.041],[8.637,1.761,1.212],[9.902,0.902,0.869],[18.831,2.067,1.829],[41.903,4.476,3.486],[1.801,0.254,0.238],[0.627,0.214,0.207],[2.181,0.241,0.246],[8.868,0.748,0.733],[9.674,6.891,5.77],[2.62,2.355,2.368],[1.395,0.533,0.525],[4.454,0.73,0.712],[5.453,4.99,5.922],[9.955,3.968,4.096],[9.987,4.035,4.476],[1.695,1.236,1.241],[0.142,0.079,0.103],[0.066,0.033,0.04],[0.065,0.03,0.033],[0.246,0.207,0.192],[0.044,0.019,0.02],[0.03,0.023,0.012],[0.03,0.018,0.013]],"source":"clickhouse/results/c6a.4xlarge.json"}
|
||
,{"system":"ClickHouse","date":"2022-07-01","machine":"c6a.metal, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","ClickHouse derivative"],"load_time":136.869,"data_size":14571706777,"result":[[0.011,0.001,0.001],[0.04,0.015,0.013],[0.045,0.021,0.023],[0.09,0.023,0.023],[1.922,1.565,1.576],[0.961,0.737,0.739],[0.04,0.023,0.018],[0.032,0.028,0.028],[0.321,0.287,0.275],[0.632,0.284,0.287],[0.166,0.124,0.118],[0.235,0.1,0.102],[1.006,0.182,0.159],[1.637,0.216,0.213],[0.871,0.174,0.177],[0.258,0.148,0.148],[1.804,0.37,0.358],[1.235,0.275,0.278],[3.143,0.854,0.815],[0.071,0.024,0.016],[8.816,0.215,0.155],[10.239,0.203,0.173],[19.179,0.388,0.357],[43.152,0.824,0.823],[1.821,0.059,0.052],[0.992,0.045,0.051],[2.539,0.063,0.058],[9.258,0.3,0.278],[7.923,0.961,0.936],[0.445,0.431,0.428],[1.367,0.131,0.113],[4.819,0.205,0.175],[3.808,0.739,0.726],[8.935,0.607,0.6],[8.988,0.634,0.615],[0.242,0.22,0.226],[0.075,0.058,0.056],[0.038,0.028,0.026],[0.043,0.028,0.021],[0.172,0.127,0.119],[0.028,0.018,0.017],[0.027,0.019,0.014],[0.018,0.026,0.015]],"source":"clickhouse/results/c6a.metal.json"}
|
||
,{"system":"CrateDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"For some queries it gives \"Data too large\".","tags":["Java","column-oriented"],"load_time":10687,"data_size":109636633416,"result":[[0.008162,0.005118,0.002553],[0.350014,0.39977,0.133775],[2.58426,2.47192,2.59779],[2.12939,0.532981,0.507246],[null,null,null],[null,null,null],[1.18488,1.06603,1.07219],[0.209264,0.073284,0.067912],[null,null,null],[null,null,null],[1.68892,1.2866,1.47428],[1.62976,1.43073,1.26904],[12.7517,13.0334,13.2685],[18.8587,null,18.6951],[11.2982,11.2108,11.577],[20.2964,20.4035,19.1076],[null,null,null],[null,null,null],[null,null,null],[0.202044,0.010009,0.005566],[9.22964,4.54606,0.774149],[1.41673,1.09885,0.789775],[12.3933,8.06911,1.69671],[1.45018,0.969528,0.979718],[0.357589,0.14887,0.153326],[0.189282,0.133963,0.130279],[0.153222,0.140756,0.139861],[27.5195,19.6862,20.1825],[72.7575,68.2,67.1238],[144.533,146.579,152.144],[8.76866,9.00563,8.46917],[17.6652,16.6755,16.0558],[null,null,null],[null,null,null],[null,null,null],[42.2967,44.9621,44.4386],[0.786911,0.4904,0.508416],[0.602075,0.226261,0.182399],[0.131407,0.058958,0.054518],[0.954736,1.1361,1.14233],[0.23764,0.139109,0.134472],[0.110253,0.057695,0.056073],[0.124285,0.150479,0.066226]],"source":"cratedb/results/c6a.4xlarge.json"}
|
||
,{"system":"Databend","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Only 90% of data successfully loaded.","tags":["Rust","column-oriented","ClickHouse derivative"],"load_time":484,"data_size":43016643271,"result":[[0.010087,0.002961,0.003271],[0.127964,0.080012,0.075741],[0.162388,0.143967,0.144762],[0.252904,0.217471,0.217369],[34.281026,34.844158,34.526942],[25.290307,25.793068,25.620563],[0.112484,0.093867,0.090891],[0.086604,0.07796,0.076448],[20.723203,20.7483,20.354869],[20.81994,20.72446,20.696573],[1.964378,1.93559,1.893824],[1.846866,1.789111,1.763664],[4.468158,4.407959,4.438036],[19.947276,19.8859,19.853514],[5.478573,5.474461,5.460604],[5.509521,5.513413,5.363123],[15.430359,15.5406,15.461211],[14.905998,15.029721,15.019642],[31.069663,30.811763,30.737336],[0.281067,0.220021,0.217741],[8.89374,4.12692,4.131689],[10.38448,4.603694,4.571757],[19.980572,8.836322,8.892694],[59.786474,52.452881,39.941988],[2.804019,0.994794,0.958224],[0.765299,0.730434,0.723964],[2.784648,0.94665,0.936684],[8.905027,5.418438,5.386109],[12.187652,12.230066,12.164123],[3.35748,3.395991,3.319434],[4.309389,3.854977,3.772506],[9.958201,7.027432,6.888253],[50.200569,50.535126,50.283066],[24.469412,21.222713,21.010188],[26.115852,23.93507,24.835342],[7.511517,7.296179,7.324549],[2.156784,1.298258,1.278441],[2.155447,1.314499,1.331237],[2.007053,1.181676,1.155612],[null,null,null],[0.485363,0.420291,0.416819],[0.372131,0.322068,0.323578],[null,null,null]],"source":"databend/results/c6a.4xlarge.json"}
|
||
,{"system":"Druid","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["Java","column-oriented"],"load_time":19620,"data_size":45188608472,"result":[[0.02261,0.015202,0.015416],[0.408549,0.275624,0.275657],[0.365362,0.159893,0.151254],[1.380429,0.136963,0.13113],[3.126491,2.462627,2.431463],[9.350598,7.418928,7.213518],[null,null,null],[0.532669,0.27882,0.270483],[7.541045,6.631755,6.55507],[8.63431,7.615905,7.573183],[1.650839,0.83276,0.881859],[1.680002,0.504994,0.512728],[2.406642,1.939866,1.667841],[8.632186,7.264837,7.358885],[61.095584,59.243483,59.111986],[0.006551,0.005535,0.004936],[0.010023,0.010525,0.009739],[0.009157,0.008836,0.008432],[null,null,null],[0.005462,0.004723,0.004469],[0.006079,0.005037,0.005726],[null,null,null],[null,null,null],[0.009679,0.009139,0.011461],[0.006833,0.005752,0.005962],[null,null,null],[null,null,null],[0.011282,0.009306,0.009612],[null,null,null],[0.04285,0.04703,0.040549],[0.013658,0.013335,0.013686],[0.018262,0.012727,0.012357],[0.013259,0.011685,0.011177],[0.006448,0.005744,0.005489],[0.006924,0.008225,0.006115],[60.5054,59.499392,59.221125],[0.010123,0.008507,0.00899],[0.010177,0.008739,0.009381],[0.011097,0.009424,0.013203],[null,null,null],[0.014453,0.013647,0.013853],[0.017409,0.013077,0.012445],[0.010489,0.009483,0.009735]],"source":"druid/results/c6a.4xlarge.json"}
|
||
,{"system":"DuckDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Many queries triggered OOM","tags":["C","column-oriented","embedded"],"load_time":4217,"data_size":27241492480,"result":[[0.005694353996659629,0.003944558004150167,0.003837226002360694],[0.16991353100456763,0.03919722700084094,0.03835860399703961],[0.44898432699847035,0.04947217500011902,0.04852217998995911],[0.07586832098604646,0.07051395199960098,0.07007493599667214],[9.554053236002801,8.153356187991449,8.73448242500308],[7.66042533799191,6.931124911992811,7.103380946995458],[0.030703739990713075,0.027668555994750932,0.027583695002249442],[0.1778664360026596,0.03942437999648973,0.03882004099432379],[8.53439180701389,8.869582625004114,9.020313234999776],[10.40215514000738,11.125320470004226,8.941559945000336],[1.1747649609897053,1.04221136700653,1.004799570000614],[1.2380354650085792,1.1211603130068397,2.4278587239969056],[3.1751541379926493,0.9360461989999749,0.8868292279948946],[6.855684430003748,7.300301584007684,5.712960822012974],[3.70588762400439,1.0249276379909134,0.9473389159975341],[2.1037107890006155,1.6215517020027619,1.5671920729946578],[null,null,null],[null,null,null],[null,null,null],[0.0002772739971987903,0.00016792300448287278,0.0001574420020915568],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[2.9310110910009826,0.19020285899750888,0.1736805049877148],[2.939304119994631,0.18754731099761557,0.18073286200524308],[2.8706370779982535,0.18822155400994234,0.17905898999015335],[null,null,null],[null,null,null],[0.884408778991201,0.714329167996766,0.7135983259940986],[5.3762675570033025,0.8803737630078103,0.8728962720051641],[7.249190265996731,2.9648747390019707,2.866687831003219],[null,null,null],[null,null,null],[null,null,null],[4.515183198003797,4.030519469000865,4.014251719010645],[0.11604027298744768,0.040539135996368714,0.04280066800129134],[0.0457908230018802,0.021069509006338194,0.019683108999743126],[0.0680370800109813,0.011889394998434,0.01056639499438461],[0.22029169600864407,0.08547276000899728,0.09095505000732373],[0.03759863799496088,0.008373684002435766,0.007633563989656977],[0.025631797994719818,0.008081699008471332,0.007858585988287814],[0.034359957004198804,0.025543516996549442,0.02533275399764534]],"source":"duckdb/results/c6a.4xlarge.json"}
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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"}
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,{"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"}
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||
,{"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"}
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||
,{"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"}
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||
,{"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"}
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||
,{"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"}
|
||
,{"system":"PostgreSQL","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","row-oriented","PostgreSQL compatible"],"load_time":2342,"data_size":77797067741,"result":[[439.753,309.785,282.017],[317.874,254.238,254.941],[262.883,263.072,263.09],[32.421,5.31,5.06],[57.134,42.648,42.334],[358.423,356.315,358.342],[31.524,5.35,4.994],[263.145,263.193,263.165],[323.659,322.858,321.918],[327.395,326.17,326.231],[265.983,265.681,265.912],[269.984,265.336,265.379],[284.096,284.56,282.234],[277.25,279.455,280.035],[285.66,286.2,283.611],[66.605,32.023,38.282],[312.452,304.431,305.391],[289.209,290.449,287.578],[331.706,327.485,334.428],[24.646,2.543,2.263],[267.561,267.496,267.524],[267.729,267.69,268.184],[263.074,263.12,267.04],[267.602,267.488,267.494],[263.141,263.859,263.137],[262.923,263.102,263.113],[262.885,263.088,263.114],[267.864,269.127,268.204],[303.376,306.925,308.664],[263.221,263.119,263.148],[270.814,270.575,270.294],[278.342,275.925,276.224],[584.599,576.932,591.502],[462.576,446.962,439.779],[429.93,417.696,416.704],[296.875,297.283,295.14],[3.461,0.842,0.794],[2.179,0.564,0.558],[2.258,0.566,0.416],[2.805,1.311,1.317],[2.936,0.82,0.615],[2.197,0.736,0.535],[1.983,0.32,0.312]],"source":"postgresql/results/c6a.4xlarge.json"}
|
||
,{"system":"QuestDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Many queries cannot run. It also crashes and hangs.","tags":["Java","time-series"],"load_time":1667.5,"data_size":126680518680,"result":[[0.0155878,0.000283657,0.000328587],[0.586734,0.0486348,0.0485346],[6.41881,5.57954,6.25638],[6.8554,3.11997,3.11813],[47.8723,54.5425,53.1198],[null,null,null],[5.63439,3.70619,3.92043],[0.699764,0.130462,0.126272],[55.7179,62.8433,62.0045],[null,59.6416,64.7753],[63.7134,null,39.8928],[46.759,46.8544,null],[16.7181,10.9064,10.0735],[79.9885,null,52.5617],[16.1015,12.1835,13.1469],[17.0225,11.7342,10.6194],[24.1167,15.6749,16.8193],[23.0848,15.3149,17.375],[42.0965,26.2421,25.7593],[0.0356335,0.027459,0.0289404],[70.7679,71.5825,71.4573],[null,null,null],[null,null,null],[77.0625,13.2257,12.7578],[11.0775,2.90421,2.33398],[3.31611,3.38837,3.35419],[3.13233,5.2785,3.07075],[null,null,null],[null,null,null],[186.032,185.627,180.963],[26.7279,16.4799,18.8758],[63.8785,32.1097,32.1561],[64.4635,31.4538,35.654],[118.897,null,119.015],[null,null,null],[19.6853,17.4427,16.7998],[1.50985,0.877967,0.885536],[0.805639,0.577352,0.534731],[0.509284,0.448942,0.467679],[1.37609,0.966942,0.912858],[0.567887,0.394619,0.438952],[0.508977,0.441015,0.40528],[null,null,null]],"source":"questdb/results/c6a.4xlarge.json"}
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|
||
,{"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/results/c6a.4xlarge.compression.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"}
|
||
,{"system":"Vertica","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"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]],"source":"vertica/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://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>
|
||
|
||
<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] = 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-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} (${elem.machine})`));
|
||
link.href = "https://github.com/ClickHouse/ClickBench/" + elem.source;
|
||
td_name.appendChild(link);
|
||
} else {
|
||
td_name.appendChild(document.createTextNode(elem.system));
|
||
}
|
||
|
||
if (elem.comment) { td_name.appendChild(addNote(elem.comment)); }
|
||
td_name.appendChild(document.createTextNode(': '));
|
||
|
||
const ratio = summaries[idx];
|
||
const percentage = summaries[idx] / max_ratio * 100;
|
||
|
||
let td_number = document.createElement('td');
|
||
td_number.className = 'summary-number';
|
||
|
||
const text = selectors.metric == 'load' ? (elem.load_time ? `${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(${elem.machine})`));
|
||
th.className = 'th-entry';
|
||
th.dataset.system = elem.system;
|
||
details_head.appendChild(th);
|
||
});
|
||
|
||
/// Load times
|
||
{
|
||
let tr = document.createElement('tr');
|
||
tr.className = 'shadow';
|
||
|
||
let td_title = document.createElement('td');
|
||
td_title.colSpan = 2;
|
||
td_title.appendChild(document.createTextNode('Load time: '));
|
||
tr.appendChild(td_title);
|
||
|
||
sorted_indices.map(idx => {
|
||
const curr_timing = filtered_data[idx].load_time;
|
||
const baseline_timing = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
|
||
const ratio = curr_timing / baseline_timing;
|
||
|
||
let td = document.createElement('td');
|
||
td.appendChild(document.createTextNode(curr_timing ? `${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>
|