thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-10-06 00:20:51 +00:00
Code Issues Packages Projects Releases Wiki Activity
ClickHouse® is a real-time analytics DBMS
51,346 Commits 8,976 Branches 1,768 Tags 1.9 GiB
C++ 79.5%
Python 8.4%
Shell 4.3%
C 3.5%
Jinja 1.9%
Other 2.1%
2df0c3e0b0
Go to file
Peng Jian 2df0c3e0b0 Add helper function for extracting zookeeper name and path.
2020-11-19 15:44:47 +08:00
.github
base Merge pull request #17108 from ClickHouse/ya-make-owners 2020-11-17 05:19:46 +03:00
benchmark Convert to python3 (#15007) 2020-10-02 19:54:07 +03:00
cmake improve unbundle build 2020-11-11 09:08:53 +08:00
contrib Fix the case when CFA register is RAX 2020-11-15 18:32:41 +03:00
debian Auto version update to [20.12.1.1] [54443] 2020-11-05 21:52:50 +03:00
docker Moving to using TestFlows version 1.6.65 2020-11-17 20:22:43 -05:00
docs Merge pull request #16997 from vdimir/source-clickhouse-usability 2020-11-19 07:37:00 +03:00
programs Follow Arcadia ya.make rules 2020-11-16 21:24:58 +03:00
src Add helper function for extracting zookeeper name and path. 2020-11-19 15:44:47 +08:00
tests add test 2020-11-19 15:44:47 +08:00
utils Follow Arcadia ya.make rules 2020-11-16 21:24:58 +03:00
website Added results from Raspberry Pi 2020-11-14 23:37:32 +03:00
.arcignore
.clang-format
.clang-tidy
.editorconfig
.gitattributes
.gitignore Fix build without libraries 2020-10-10 23:41:27 +03:00
.gitmodules Merge branch 'master' into storage-rocksdb 2020-11-12 08:26:27 +08:00
.potato.yml
.vimrc
AUTHORS
CHANGELOG.md 20.8 2020-11-13 20:43:05 +03:00
CMakeLists.txt Add StorageEmbeddedRocksdb Engine 2020-11-11 09:08:52 +08:00
CODE_OF_CONDUCT.md
CONTRIBUTING.md
docker-compose.yml
format_sources
LICENSE
PreLoad.cmake
README.md Update README.md 2020-10-27 20:40:54 +03:00
release Convert to python3 (#15007) 2020-10-02 19:54:07 +03:00
SECURITY.md
uncrustify.cfg
ya.make

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 announcements and reports about events.
  • Code Browser with syntax highlight and navigation.
  • Yandex.Messenger channel shares announcements and useful links in Russian.
  • 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