mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-10 01:25:21 +00:00
895 lines
36 KiB
HTML
895 lines
36 KiB
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<body>
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<div id="navbar">
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<div id="navbar-inner">
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<div id="top-menu" class="desktop-only">
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<a class="menu_item" href="#quick-start">Quick Start</a>
|
||
<a class="menu_item" href="#performance">Performance</a>
|
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<a class="menu_item" href="docs/en/">Documentation</a>
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<a class="menu_item" href="#contacts">Contacts</a>
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|
||
|
||
ClickHouse
|
||
</h1>
|
||
</a>
|
||
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|
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|
||
|
||
<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>
|
||
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|
||
<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>
|
||
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|
||
</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">
|
||
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|
||
|
||
</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 apt-add-repository "deb http://repo.yandex.ru/clickhouse/<span id="distributive">trusty</span> stable main"
|
||
sudo apt-get update
|
||
|
||
sudo apt-get install clickhouse-server-common clickhouse-client -y
|
||
|
||
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="docs/en/">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>
|
||
|
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<script type="text/javascript" src="//yastatic.net/jquery/3.1.1/jquery.min.js"></script>
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|
||
var feedback_email = $('#feedback_email');
|
||
feedback_email.attr('href', 'mailto:' + feedback_address);
|
||
feedback_email.html(feedback_address);
|
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|
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|
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