mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-29 19:12:03 +00:00
885 lines
35 KiB
HTML
885 lines
35 KiB
HTML
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8"/>
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<meta http-equiv="X-UA-Compatible" content="IE=edge"/>
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<title>ClickHouse — open source distributed column-oriented DBMS</title>
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<link rel="shortcut icon" href="favicon.ico"/>
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<meta property="og:title" content="ClickHouse DBMS"/>
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<meta property="og:description"
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content="ClickHouse is an open source column-oriented database management system that allows generating analytical data reports in real time using SQL queries."/>
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<meta property="og:type" content="website"/>
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<meta property="og:url" content="https://clickhouse.yandex"/>
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<meta property="og:image" content="https://clickhouse.yandex/logo.png"/>
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<meta property="twitter:title" content="ClickHouse DBMS"/>
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<meta name="description"
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content="ClickHouse is an open source distributed column-oriented database management system that allows generating analytical data reports in real time using SQL queries. Сreated by Yandex ClickHouse manages extremely large volumes of data in a stable and sustainable manner."/>
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<meta name="keywords"
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content="ClickHouse, DBMS, OLAP, relational, analytics, analytical, big data, open-source, SQL, web-analytics" />
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<style type="text/css">
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@font-face {
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font-weight: 700;
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font-style: normal;
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font-stretch: normal
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font-weight: 400;
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font-style: normal;
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font-weight: 300;
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@font-face {
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font-weight: 400;
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font-style: normal;
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font-stretch: normal
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}
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@font-face {
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font-family: 'Yandex Sans Display Web';
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font-weight: 300;
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font-style: normal;
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font-stretch: normal
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}
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body {
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background: #fff;
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font: 300 14pt/200% 'Yandex Sans Text Web', Arial, sans-serif;
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margin: 0;
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padding: 0;
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}
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#navbar {
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top: 0;
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z-index: 100;
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position: fixed;
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width: 100%;
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background: #fff;
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border-bottom: 1px solid #efefef;
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padding: 6px 0 0 0;
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margin: 0;
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}
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#navbar-inner {
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max-width: 1280px;
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margin: 4px auto;
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}
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#logo {
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color: #000;
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text-decoration: none;
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font-size: 110%;
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}
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#main-title {
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font: 400 42pt/90% 'Yandex Sans Display Web', Arial, sans-serif;
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margin: 0;
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}
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#title-logo {
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margin: 1px 8px 0 13px;
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}
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#github {
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bottom: 0;
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right: 0;
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z-index: 100;
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position: fixed;
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font-size: 85%;
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font-weight: 400;
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padding: 0 4em;
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margin: 0 -4em 2.5em 0;
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-webkit-transform: rotate(-45deg);
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-moz-transform: rotate(-45deg);
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-ms-transform: rotate(-45deg);
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-o-transform: rotate(-45deg);
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background: #fc0;
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border: 2px solid #000;
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mix-blend-mode: hard-light;
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}
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#github_link {
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color: #000;
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}
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#github_link:hover {
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color: #000;
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}
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.page {
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max-width: 800px;
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margin: auto;
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}
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h2 {
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margin: 47px 0 23px;
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font: 400 200%/133% 'Yandex Sans Display Web', Arial, sans-serif;
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}
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.smaller-font {
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font-size: 80%;
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}
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a:link, a:visited {
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color: #08f;
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text-decoration: none;
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}
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a:hover, a:active {
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color: #f00;
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text-decoration: underline;
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}
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#top-menu {
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margin: 12px 0 0 0;
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font: 400 18pt 'Yandex Sans Display Web', Arial, sans-serif;
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float: right;
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}
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.menu_item:link,
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.menu_item:active,
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.menu_item:visited {
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margin: 0 8px 0 0;
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padding: 5px;
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color: #000;
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}
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.menu_item:hover, .index_item:hover {
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padding-bottom: 4px;
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border-bottom: 2px solid #fc0;
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text-decoration: none;
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}
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.index_item:link,
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.index_item:active,
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.index_item:visited {
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color: #ededed;
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font: 300 100% 'Yandex Sans Display Web', Arial, sans-serif;
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}
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#short-description {
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font: 300 125%/150% 'Yandex Sans Display Web', Arial, sans-serif;
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margin: 0 1em 1.75em 0;
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text-align: left;
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}
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#hero {
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background: #555;
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padding: 110px 0 40px 0;
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color: #ededed;
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}
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#index_ul {
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margin-top: 2px;
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padding-left: 20px;
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}
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#slogan {
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}
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#placeholder {
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width: 66%;
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margin: 5% auto 0 auto;
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}
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.colored-block {
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width: 100%;
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padding: 20px 0 60px 0;
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margin: 60px 0;
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}
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.colored-block>h2 {
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margin-top: 0;
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}
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#performance {
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background: #fc0;
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}
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#call_to_action, #benchmark_learn_more {
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text-decoration: none;
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padding-left: 18px;
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font-size: 120%;
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width: 182px;
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height: 50px;
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line-height: 50px;
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display: block;
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margin-bottom: 15px;
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}
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#call_to_action {
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background: url('yandex-white-button.png') no-repeat;
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color: #ededed;
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}
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#call_to_action:hover {
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color: #fc0;
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}
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#benchmark_learn_more {
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background: url('yandex-black-button.png') no-repeat;
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float: right;
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color: #000;
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}
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#grey-block {
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background: #555;
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color: #ededed;
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}
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#ubuntu-install {
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overflow: auto;
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overflow-y: hidden;
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-ms-overflow-y: hidden;
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}
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#footer {
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text-align: right;
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padding: 8px 0 0 0;
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color: #888;
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font-size: 10pt;
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|||
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}
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code {
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|||
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font: 13px/18px monospace, "Courier New";
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|||
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display: block;
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border-left: 5px solid #ffdb4d;
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padding: 5px 10px;
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background: #000;
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color: #ccc;
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|||
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}
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ul {
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margin: 0;
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padding-left: 0;
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}
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ul.dashed {
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list-style-type: none;
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}
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ul.dashed > li {
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text-indent: 15px;
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margin-top: -5px;
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}
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ul.dashed > li:before {
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content: '— ';
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text-indent: 1em;
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}
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.warranty {
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|||
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margin-top: 6em;
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|||
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font-size: 50%;
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color: #888;
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line-height: 150%;
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border-top: 1px solid #888;
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|||
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padding: 1em 0;
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|||
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}
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|||
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|||
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.distributive_selected {
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|||
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color: #000;
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|||
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font-weight: bold;
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|||
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}
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|||
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.distributive_not_selected {
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|||
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color: #08f;
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|||
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cursor: pointer;
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|||
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border-bottom: 1px solid #08f;
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|||
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}
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|||
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.block-50 {
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|||
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float: left;
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|||
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display: block;
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|||
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width: 50%;
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|||
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}
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.block-30 {
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|
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|
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|
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|
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|
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|
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#hero {
|
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|
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|
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|
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|
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|
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.page {
|
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width: 90%;
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|
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|
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|
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|
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|
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|
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|
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|
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#call_to_action {
|
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|
|
margin: 20px 0 40px 0;
|
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|
|
}
|
|||
|
|
|
|||
|
|
#short-description {
|
|||
|
|
margin-bottom: 40px;
|
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|
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}
|
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|
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|
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|
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|
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|
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|
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|
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font-size: 110%;
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-webkit-transform: rotate(0deg);
|
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-moz-transform: rotate(0deg);
|
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-ms-transform: rotate(0deg);
|
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|
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background: #fc0;
|
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border: 0;
|
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|
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mix-blend-mode: normal;
|
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|
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}
|
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|
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|
|||
|
|
#benchmark_learn_more, #call_to_action {
|
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|
|
font-size: 90%;
|
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|
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}
|
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|
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|
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width: 100%;
|
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|
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}
|
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|
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}
|
|||
|
|
</style>
|
|||
|
|
</head>
|
|||
|
|
<body>
|
|||
|
|
<div id="navbar">
|
|||
|
|
<div id="navbar-inner">
|
|||
|
|
<div id="top-menu" class="desktop-only">
|
|||
|
|
<a class="menu_item" href="#quick-start">Quick Start</a>
|
|||
|
|
<a class="menu_item" href="#performance">Performance</a>
|
|||
|
|
<a class="menu_item" href="reference_en.html">Documentation</a>
|
|||
|
|
<a class="menu_item" href="#contacts">Contacts</a>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<a id="logo" href="#">
|
|||
|
|
<h1 id="main-title">
|
|||
|
|
<svg id="title-logo" xmlns="http://www.w3.org/2000/svg" width="48" height="44" viewBox="0 0 9 8">
|
|||
|
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<path class="red" d="M0,7 h1 v1 h-1 z"></path>
|
|||
|
|
<path class="orange" d="M0,0 h1 v7 h-1 z"></path>
|
|||
|
|
<path class="orange" d="M2,0 h1 v8 h-1 z"></path>
|
|||
|
|
<path class="orange" d="M4,0 h1 v8 h-1 z"></path>
|
|||
|
|
<path class="orange" d="M6,0 h1 v8 h-1 z"></path>
|
|||
|
|
<path class="orange" d="M8,3.25 h1 v1.5 h-1 z"></path>
|
|||
|
|
</svg>
|
|||
|
|
|
|||
|
|
ClickHouse
|
|||
|
|
</h1>
|
|||
|
|
</a>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div id="hero">
|
|||
|
|
<div class="page">
|
|||
|
|
<div class="block-70">
|
|||
|
|
<p id="short-description">ClickHouse is an <span class="orange">open source</span> column-oriented
|
|||
|
|
database management system
|
|||
|
|
capable of <span class="orange">real time</span> generation of analytical data reports using <span
|
|||
|
|
class="orange">SQL</span> queries.</p>
|
|||
|
|
<a id="call_to_action" href="#quick-start">
|
|||
|
|
Quick Start
|
|||
|
|
</a>
|
|||
|
|
</div>
|
|||
|
|
<div class="block-30">
|
|||
|
|
<ul id="index_ul" class="dashed">
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#blazing-fast">Blazing Fast</a>
|
|||
|
|
</li>
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#linearly-scalable">Linearly Scalable</a>
|
|||
|
|
</li>
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#hardware-efficient">Hardware Efficient</a>
|
|||
|
|
</li>
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#fault-tolerant">Fault Tolerant</a>
|
|||
|
|
</li>
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#feature-rich">Feature Rich</a>
|
|||
|
|
</li>
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#simple-and-handy">Simple and Handy</a>
|
|||
|
|
</li>
|
|||
|
|
<li>
|
|||
|
|
<a class="index_item" href="#highly-reliable">Highly Reliable</a>
|
|||
|
|
</li>
|
|||
|
|
</ul>
|
|||
|
|
</div>
|
|||
|
|
<div class="clear"></div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<a id="github_link"
|
|||
|
|
href="https://github.com/yandex/ClickHouse"
|
|||
|
|
rel="external nofollow"
|
|||
|
|
target="_blank"
|
|||
|
|
><div id="github">Fork me on GitHub</div></a>
|
|||
|
|
|
|||
|
|
<div class="page">
|
|||
|
|
<h2 id="slogan">ClickHouse. Just makes you think faster.</h2>
|
|||
|
|
|
|||
|
|
<div class="block-70">
|
|||
|
|
<ul class="dashed">
|
|||
|
|
<li>Run more queries in the same amount of time</li>
|
|||
|
|
<li>Test more hypotheses</li>
|
|||
|
|
<li>Slice and dice your data in many more new ways</li>
|
|||
|
|
<li>Look at your data from new angles</li>
|
|||
|
|
<li>Discover new dimensions</li>
|
|||
|
|
</ul>
|
|||
|
|
</div>
|
|||
|
|
<div class="block-30">
|
|||
|
|
<svg id="placeholder" class="desktop-only" viewBox="0 0 76 76" xmlns="http://www.w3.org/2000/svg">
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
<path d="M19.2587891,1.08825684 L26.7729492,8.8046875" id="Path-26" stroke-width="2" transform="translate(23.015869, 4.946472) scale(-1, 1) translate(-23.015869, -4.946472) "></path>
|
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|
|
<path d="M1.05773926,1.04125977 L8.82080078,8.9654541" id="Path-26" stroke-width="2" transform="translate(4.939270, 5.003357) scale(-1, 1) translate(-4.939270, -5.003357) "></path>
|
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|
|
<path d="M1.12487793,18.887207 L9.26220703,26.8897705" id="Path-26" stroke-width="2" transform="translate(5.193542, 22.888489) scale(-1, 1) translate(-5.193542, -22.888489) "></path>
|
|||
|
|
<path d="M19.038208,19.1968994 L26.9085693,26.9760742" id="Path-26" stroke-width="2" transform="translate(22.973389, 23.086487) scale(-1, 1) translate(-22.973389, -23.086487) "></path>
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
</g>
|
|||
|
|
</g>
|
|||
|
|
</svg>
|
|||
|
|
|
|||
|
|
</div>
|
|||
|
|
<div class="clear"></div>
|
|||
|
|
|
|||
|
|
|
|||
|
|
<h2 id="blazing-fast">Blazing Fast</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse's performance <a href="benchmark.html">exceeds</a> comparable column-oriented DBMS currently available
|
|||
|
|
on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data
|
|||
|
|
per single server per second.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse uses all available hardware to its full potential to process each query as fast as possible. The peak
|
|||
|
|
processing performance for a single query (after decompression, only used columns) stands at more than 2 terabytes
|
|||
|
|
per second.</p>
|
|||
|
|
</div>
|
|||
|
|
<div id="performance" class="colored-block">
|
|||
|
|
<div class="page">
|
|||
|
|
<h2>ClickHouse works 100-1,000x faster than traditional approaches</h2>
|
|||
|
|
<p>In contrast to data management methods, where vast amounts of raw data in its native format are available as
|
|||
|
|
a "data lake" for any
|
|||
|
|
given query, ClickHouse, in most cases, offers instant results: the data is processed faster than it takes
|
|||
|
|
to make a query. Follow the link to see detailed benchmarks in comparison with other database management
|
|||
|
|
systems.</p>
|
|||
|
|
<a id="benchmark_learn_more" href="benchmark.html">
|
|||
|
|
Learn more
|
|||
|
|
</a>
|
|||
|
|
<div class="clear"></div>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="page">
|
|||
|
|
<h2 id="linearly-scalable">Linearly Scalable</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse allows companies to add servers to their clusters when necessary without investing time or money into
|
|||
|
|
additional DBMS modification. The system has been successfully serving <a href="https://metrica.yandex.com/">Yandex.Metrica</a>,
|
|||
|
|
while the servers just in its main cluster, located in six geographically distributed datacenters, have grown
|
|||
|
|
from 60 to 394 in two years.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse scales well both vertically and horizontally. ClickHouse is easily adaptable to perform both on
|
|||
|
|
hundreds of node clusters, and on a single server or even virtual machine. It currently has installations
|
|||
|
|
with more than two trillion rows per single node, as well as installations with 100 TB of storage per single
|
|||
|
|
node.</p>
|
|||
|
|
|
|||
|
|
|
|||
|
|
<h2 id="hardware-efficient">Hardware Efficient</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse processes typical analytical queries two to three orders of magnitude faster than traditional
|
|||
|
|
row-oriented systems with the same available IO throughput. The system’s columnar format allows fitting more hot
|
|||
|
|
data in the server’s RAM, which leads to a shorter response time.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse allows to minimize number of seeks for range queries, which increases efficiency of using rotational
|
|||
|
|
drives, as it maintains locality of reference for stored data continually.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse is CPU efficient because of its vectorized query execution and runtime code generation.</p>
|
|||
|
|
|
|||
|
|
<p>By minimizing data transfers for most types of queries, ClickHouse enables companies to manage their data and
|
|||
|
|
create reports without using a network that supports high-performance computing.</p>
|
|||
|
|
</div>
|
|||
|
|
<div id="grey-block" class="colored-block">
|
|||
|
|
<div class="page">
|
|||
|
|
<h2 id="fault-tolerant">Fault Tolerant</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters.
|
|||
|
|
Downtime of a single node or the whole datacenter won’t affect the system’s availability for reads and
|
|||
|
|
writes.
|
|||
|
|
Distributed reads are automatically balanced to live replicas without increasing latency. Replicated data
|
|||
|
|
are
|
|||
|
|
synchronized automatically or semi-automatically after the downtime.</p>
|
|||
|
|
</div>
|
|||
|
|
</div>
|
|||
|
|
<div class="page">
|
|||
|
|
|
|||
|
|
<h2 id="feature-rich">Feature Rich</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse features a number of built-in user-friendly web analytics capabilities, including probabilistic data
|
|||
|
|
structures for fast and memory-efficient calculation of cardinalities and quantiles, or functions for addressing
|
|||
|
|
URLs and IPs (both IPv4 and IPv6) as well as identifying dates, times and time zones.</p>
|
|||
|
|
|
|||
|
|
<p>Data management methods available in ClickHouse, such as arrays, array joins and nested data structures, are
|
|||
|
|
extremely efficient for managing denormalized data.</p>
|
|||
|
|
|
|||
|
|
<p>Using ClickHouse allows joining both distributed data and co-located data, as the system supports local joins and
|
|||
|
|
distributed joins. It also offers an opportunity to use external dictionaries, dimension tables loaded from
|
|||
|
|
an external source, for seamless joins.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse supports approximate query processing – you can get results as fast as you want, which is
|
|||
|
|
indispensable when dealing with terabytes and petabytes of data.</p>
|
|||
|
|
|
|||
|
|
<p>The system’s conditional aggregate functions, calculation of totals and extremes, allow getting results with a
|
|||
|
|
single query without having to run a number of them.</p>
|
|||
|
|
|
|||
|
|
<div class="block-50">
|
|||
|
|
<h2>Key Features</h2>
|
|||
|
|
|
|||
|
|
<ul class="dashed smaller-font">
|
|||
|
|
<li>True column-oriented storage</li>
|
|||
|
|
<li>Vectorized query execution</li>
|
|||
|
|
<li>Data compression</li>
|
|||
|
|
<li>Parallel and distributed query execution</li>
|
|||
|
|
<li>Real-time query processing and data ingestion</li>
|
|||
|
|
<li>On-disk locality of reference</li>
|
|||
|
|
<li>Cross-datacenter replication</li>
|
|||
|
|
<li>High availability</li>
|
|||
|
|
<li>SQL support</li>
|
|||
|
|
<li>Local and distributed joins</li>
|
|||
|
|
<li>Pluggable external dimension tables</li>
|
|||
|
|
<li>Arrays and nested data types</li>
|
|||
|
|
<li>Approximate query processing</li>
|
|||
|
|
<li>Probabilistic data structures</li>
|
|||
|
|
<li>Full support of IPv6</li>
|
|||
|
|
<li>Features for web analytics</li>
|
|||
|
|
<li>State-of-the-art algorithms</li>
|
|||
|
|
<li>Detailed documentation</li>
|
|||
|
|
<li>Clean documented code</li>
|
|||
|
|
</ul>
|
|||
|
|
</div>
|
|||
|
|
<div class="block-50">
|
|||
|
|
<h2>Applications</h2>
|
|||
|
|
|
|||
|
|
<ul class="dashed smaller-font">
|
|||
|
|
<li>Web and App analytics</li>
|
|||
|
|
<li>Advertising networks and RTB</li>
|
|||
|
|
<li>Telecommunications</li>
|
|||
|
|
<li>E-commerce</li>
|
|||
|
|
<li>Information security</li>
|
|||
|
|
<li>Monitoring and telemetry</li>
|
|||
|
|
<li>Business intelligence</li>
|
|||
|
|
<li>Online games</li>
|
|||
|
|
<li>Internet of Things</li>
|
|||
|
|
</ul>
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<div class="clear"></div>
|
|||
|
|
|
|||
|
|
<h2 id="simple-and-handy">Simple and Handy</h2>
|
|||
|
|
<p>ClickHouse streamlines all your data processing. It’s easy to use: ingest all your structured data into the
|
|||
|
|
system, and it is instantly available for reports. New columns for new properties or dimensions can be
|
|||
|
|
easily added to the system at any time without slowing it down.</p>
|
|||
|
|
|
|||
|
|
|
|||
|
|
<p>ClickHouse is simple and works out-of-the-box. As well as performing on hundreds of node clusters, this system
|
|||
|
|
can be easily installed on a single server or even a virtual machine. No development experience or code-writing
|
|||
|
|
skills are required to install ClickHouse.</p>
|
|||
|
|
|
|||
|
|
<h2 id="highly-reliable">Highly Reliable</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse has been managing petabytes of data serving a number of highload mass audience services of Russia’s
|
|||
|
|
leading search provider and one of Europe’s largest IT companies, <a href="https://www.yandex.com/company/"
|
|||
|
|
rel="external nofollow">Yandex</a>.
|
|||
|
|
Since 2012, ClickHouse has been providing robust database management for the company’s <a
|
|||
|
|
href="https://metrica.yandex.com/" rel="external nofollow">web analytics service</a>, comparison
|
|||
|
|
shopping platform, email
|
|||
|
|
service, online advertising platform, business intelligence and infrastructure monitoring.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse is purely distributed system located on independent nodes, which has no single point of failure.</p>
|
|||
|
|
|
|||
|
|
<p>Software or hardware failures or misconfigurations do not result in loss of data. Instead of deleting "broken"
|
|||
|
|
data, ClickHouse saves it or asks you what to do before a startup. All data are checksummed before every
|
|||
|
|
read or write to disk or network. It is virtually impossible to delete data by accident.</p>
|
|||
|
|
|
|||
|
|
<p>ClickHouse offers flexible limits on query complexity and resource usage, which can be fine-tuned using settings.
|
|||
|
|
It is possible to simultaneously serve both a number of high priority low-latency requests and some
|
|||
|
|
long-running queries with lowered priority.</p>
|
|||
|
|
|
|||
|
|
<h2>Use Cases</h2>
|
|||
|
|
|
|||
|
|
<p>ClickHouse currently powers
|
|||
|
|
<a href="https://metrica.yandex.com/" rel="external nofollow">Yandex.Metrica</a>, world's <a
|
|||
|
|
href="http://w3techs.com/technologies/overview/traffic_analysis/all" rel="external nofollow">second
|
|||
|
|
largest</a> web analytics
|
|||
|
|
platform, with over 13 trillion database records and over 20 billion events a day, generating customized
|
|||
|
|
reports on the fly directly from non-aggregated data.</p>
|
|||
|
|
<p>Another example is <a
|
|||
|
|
href="https://www.yandex.com/company/press_center/press_releases/2012/2012-04-10/"
|
|||
|
|
rel="external nofollow">CERN’s LHCb experiment</a>
|
|||
|
|
to store and process metadata on 10bn events with over 1000 attributes per event registered
|
|||
|
|
in 2011.</p>
|
|||
|
|
|
|||
|
|
<h2 id="quick-start">Quick Start</h2>
|
|||
|
|
|
|||
|
|
<p>System requirements: Linux, x86_64 with SSE 4.2.</p>
|
|||
|
|
|
|||
|
|
<p>Install packages for
|
|||
|
|
<span class="distributive_not_selected" id="ubuntu_xenial">Ubuntu 16.04 Xenial</span>, <span
|
|||
|
|
class="distributive_selected" id="ubuntu_trusty">Ubuntu 14.04 Trusty</span> or <span
|
|||
|
|
class="distributive_not_selected" id="ubuntu_precise">Ubuntu 12.04 Precise</span>:
|
|||
|
|
</p>
|
|||
|
|
|
|||
|
|
<code id="ubuntu-install">
|
|||
|
|
<pre>
|
|||
|
|
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv E0C56BD4 # optional
|
|||
|
|
|
|||
|
|
sudo mkdir -p /etc/apt/sources.list.d
|
|||
|
|
echo "deb http://repo.yandex.ru/clickhouse/<span id="distributive">trusty</span> stable main" |
|
|||
|
|
sudo tee /etc/apt/sources.list.d/clickhouse.list
|
|||
|
|
sudo apt-get update
|
|||
|
|
|
|||
|
|
sudo apt-get install clickhouse-server-common clickhouse-client
|
|||
|
|
|
|||
|
|
sudo service clickhouse-server start
|
|||
|
|
clickhouse-client
|
|||
|
|
</pre>
|
|||
|
|
</code>
|
|||
|
|
|
|||
|
|
<p>For other operating systems the easiest way to get started is using
|
|||
|
|
<a href="https://hub.docker.com/r/yandex/clickhouse-server/" rel="external nofollow"
|
|||
|
|
target="_blank">
|
|||
|
|
official Docker images of ClickHouse</a>
|
|||
|
|
. Alternatively you can build ClickHouse from <a
|
|||
|
|
href="https://github.com/yandex/ClickHouse" rel="external nofollow"
|
|||
|
|
target="_blank">sources</a>
|
|||
|
|
according to the <a
|
|||
|
|
href="https://github.com/yandex/ClickHouse/blob/master/doc/build.md" rel="external nofollow"
|
|||
|
|
target="_blank">instruction</a>.</p>
|
|||
|
|
|
|||
|
|
<p>After installation proceed to <strong><a href="tutorial.html">tutorial</a></strong> or <strong><a href="reference_en.html">full
|
|||
|
|
documentation</a></strong>.</p>
|
|||
|
|
|
|||
|
|
|
|||
|
|
<h2 id="contacts">Contacts</h2>
|
|||
|
|
<ul class="dashed">
|
|||
|
|
<li>Ask any questions on <a href="https://stackoverflow.com/questions/tagged/clickhouse"
|
|||
|
|
rel="external nofollow">Stack Overflow</a>.
|
|||
|
|
</li>
|
|||
|
|
<li>Discuss with real users in Telegram chat in <a href="https://telegram.me/clickhouse_en"
|
|||
|
|
rel="external nofollow">English</a> or in <a
|
|||
|
|
href="https://telegram.me/clickhouse_ru" rel="external nofollow">Russian</a>.
|
|||
|
|
</li>
|
|||
|
|
<li>Use <a href="https://groups.google.com/group/clickhouse" rel="external nofollow">Google Group</a> for
|
|||
|
|
discussion.
|
|||
|
|
</li>
|
|||
|
|
<li>Or email ClickHouse team at Yandex:
|
|||
|
|
<a id="feedback_email" href="">turn on JavaScript to see email address</a>.
|
|||
|
|
</li>
|
|||
|
|
</ul>
|
|||
|
|
|
|||
|
|
<h2>Like ClickHouse?</h2>
|
|||
|
|
<p>Help to spread the word about it via <a rel="external nofollow" target="_blank" href="https://www.facebook.com/sharer.php?u=https://clickhouse.yandex">Facebook</a>,
|
|||
|
|
<a rel="external nofollow" target="_blank" href="https://twitter.com/intent/tweet?url=https://clickhouse.yandex">Twitter</a> and
|
|||
|
|
<a rel="external nofollow" target="_blank" href="https://www.linkedin.com/shareArticle?url=https://clickhouse.yandex">LinkedIn</a>!</p>
|
|||
|
|
|
|||
|
|
|
|||
|
|
<p class="warranty">Software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
|||
|
|
KIND, either express or implied.</p>
|
|||
|
|
|
|||
|
|
<p id="footer">© 2016–2017 <a href="https://yandex.com/company/" rel="external nofollow">YANDEX</a> LLC</p>
|
|||
|
|
|
|||
|
|
</div>
|
|||
|
|
|
|||
|
|
<script type="text/javascript" src="https://yastatic.net/jquery/3.1.1/jquery.min.js"></script>
|
|||
|
|
<script type="text/javascript">
|
|||
|
|
$(document).ready(function () {
|
|||
|
|
var name = $('#main-title').text().trim().toLowerCase();
|
|||
|
|
var feedback_address = name + '-feedback' + '@yandex-team.com';
|
|||
|
|
var feedback_email = $('#feedback_email');
|
|||
|
|
feedback_email.attr('href', 'mailto:' + feedback_address);
|
|||
|
|
feedback_email.html(feedback_address);
|
|||
|
|
|
|||
|
|
$("a[href^='#']").on('click', function (e) {
|
|||
|
|
e.preventDefault();
|
|||
|
|
var selector = $(e.target).attr('href');
|
|||
|
|
var offset = 0;
|
|||
|
|
|
|||
|
|
if (selector) {
|
|||
|
|
offset = $(selector).offset().top - $('#logo').height() * 1.5;
|
|||
|
|
}
|
|||
|
|
$('html, body').animate({
|
|||
|
|
scrollTop: offset
|
|||
|
|
}, 500);
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
var available_distributives = ['xenial', 'trusty', 'precise'];
|
|||
|
|
available_distributives.forEach(function (name) {
|
|||
|
|
$('#ubuntu_' + name).on('click', function () {
|
|||
|
|
$('#distributive').html(name);
|
|||
|
|
available_distributives.forEach(function (distr) {
|
|||
|
|
$('#ubuntu_' + distr).attr('class', (name == distr) ? 'distributive_selected' : 'distributive_not_selected');
|
|||
|
|
});
|
|||
|
|
});
|
|||
|
|
});
|
|||
|
|
});
|
|||
|
|
</script>
|
|||
|
|
|
|||
|
|
<!-- Yandex.Metrika counter -->
|
|||
|
|
<script src="https://mc.yandex.ru/metrika/watch.js" type="text/javascript"></script>
|
|||
|
|
<script type="text/javascript">
|
|||
|
|
try {
|
|||
|
|
var yaCounter18343495 = new Ya.Metrika({
|
|||
|
|
id: 18343495,
|
|||
|
|
webvisor: true,
|
|||
|
|
clickmap: true,
|
|||
|
|
trackLinks: true,
|
|||
|
|
accurateTrackBounce: true,
|
|||
|
|
trackHash: true
|
|||
|
|
});
|
|||
|
|
} catch (e) {
|
|||
|
|
}
|
|||
|
|
</script>
|
|||
|
|
<noscript>
|
|||
|
|
<div><img src="https://mc.yandex.ru/watch/18343495" style="position:absolute; left:-9999px;" alt=""/></div>
|
|||
|
|
</noscript>
|
|||
|
|
<!-- /Yandex.Metrika counter -->
|
|||
|
|
</body>
|
|||
|
|
</html>
|