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ClickHouse® is a real-time analytics DBMS
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antikvist 62460faf97 #WelchTTest aggregate function implementation 
What's new:
-Main classes for aggreagate function added.
-Data class with needed mathods added.
-Registered function in registerAggregateFunctions.h
2020-04-27 01:59:41 +03:00
.github Move all folders inside /dbms one level up (#9974) 2020-04-02 02:51:21 +03:00
base Merge pull request #10343 from azat/colored-logger-name 2020-04-18 04:15:48 +03:00
benchmark Move all folders inside /dbms one level up (#9974) 2020-04-02 02:51:21 +03:00
cmake Merge pull request #10307 from abyss7/arcadia-4 2020-04-17 05:08:34 +03:00
contrib Show information about not loaded dictionaries in system.columns, system.tables 2020-04-18 12:50:54 +03:00
debian Removed leftovers 2020-03-21 19:43:31 +03:00
docker Merge pull request #9985 from ClickHouse/fix-perftest-distributed-aggregation 2020-04-18 03:08:34 +03:00
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src #WelchTTest aggregate function implementation 2020-04-27 01:59:41 +03:00
tests Merge pull request #10126 from Jokser/replicated-merge-tree-s3 2020-04-18 16:13:04 +03:00
utils Add util to test results upload in CI ClickHouse 2020-04-17 15:48:21 +03:00
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.clang-format Fixed wrong code around Memory Profiler 2020-03-03 03:24:44 +03:00
.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
.gitattributes Decreased warning threshold [#MOBMET-3248] 2016-06-07 11:23:15 +03:00
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.gitlab-ci.yml dbms/ → src/ 2020-04-03 18:14:31 +03:00
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.vimrc 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