ClickHouse® is a real-time analytics DBMS
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Alexander Kuzmenkov 8de0f4fc34 Avoid stale log files.
When the logging configuration changes, the logging-related data
structures on the server are not properly updated. This leads to a bug
where logs are written to old files, and it is impossible to fix without
restarting the server. The log file grows indefinitely and eventually
makes the server run out of disk space (see #8696). To avoid
catastrophic consequences, require that the server is restarted to apply
logging configuration changes, until the proper fix is developed.
2020-01-17 22:27:41 +03:00
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dbms Avoid stale log files. 2020-01-17 22:27:41 +03:00
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utils Merge pull request #8619 from ClickHouse/remove-old-zstd-test 2020-01-11 12:36:39 +03:00
website Added results from Sina 2020-01-17 15:55:26 +03:00
.clang-format Fix style 2018-12-10 18:50:58 +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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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.

  • 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.
  • 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.

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