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ClickHouse® is a real-time analytics DBMS
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Gleb Novikov c637d99e07 Volumes and storages refactoring: 
1. Moved Volume to separate file
  2. Created IVolume interface and implemented current behaviour in implementation of new interface — VolumeJBOD
  3. Replaced all old volume usages with new VolumeJBOD. Where it is unnecessary to have JBOD — left just IVolume.
  4. Removed old Volume completely
  5. Moved StoragePolicy to separated files
  6. Moved DiskSelector to separated files
  7. Removed DiskSpaceMonitor file
2020-05-04 23:15:38 +03:00
.github Move all folders inside /dbms one level up (#9974) 2020-04-02 02:51:21 +03:00
base Ability to set logger level for loggers that have non allowed in xml tags symbols 2020-04-27 21:30:29 +03:00
benchmark Move all folders inside /dbms one level up (#9974) 2020-04-02 02:51:21 +03:00
cmake Merge branch 'master' into xcode-build-fix 2020-05-03 05:03:49 +03:00
contrib Merge pull request #10638 from ClickHouse/fix-ubsan-hashtable 2020-05-04 04:50:25 +03:00
debian Auto version update to [20.5.1.1] [54435] 2020-04-28 20:12:16 +03:00
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programs Volumes and storages refactoring: 2020-05-04 23:15:38 +03:00
src Volumes and storages refactoring: 2020-05-04 23:15:38 +03:00
tests Fix OOM in ASan stress test 2020-05-04 03:36:55 +03:00
utils Added auto-generated machine-readable file with list of stable versions 2020-05-02 21:53:55 +03:00
website Moved benchmark HTML page to clickhouse-presentations, because it cannot display due to CSP policy 2020-05-04 00:06:30 +03:00
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.clang-tidy Clang Tidy, part 7 (#9799) 2020-03-23 05:12:31 +03:00
.editorconfig Changed tabs to spaces in editor configs and in style guide [#CLICKHOUSE-3]. 2017-04-01 11:35:09 +03:00
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docker-compose.yml Updated docker-compose.yml #1025 2017-07-26 20:05:32 +03:00
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README.md

ClickHouse — open source distributed column-oriented DBMS

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Useful Links

  • Official website has quick high-level overview of ClickHouse on main page.
  • Tutorial shows how to set up and query small ClickHouse cluster.
  • Documentation provides more in-depth information.
  • YouTube channel has a lot of content about ClickHouse in video format.
  • Slack and Telegram allow to chat with ClickHouse users in real-time.
  • Blog contains various ClickHouse-related articles, as well as announces and reports about events.
  • Contacts can help to get your questions answered if there are any.
  • You can also fill this form to meet Yandex ClickHouse team in person.

Upcoming Events