ClickHouse® is a real-time analytics DBMS
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Azat Khuzhin 3e42ffd372 tests: fix hdfs disks (chicken and an egg problem with current cluster.py)
Right now cluster.py first creates HDFS and then creates clickhouse in
one API call, so you cannot interract and add missing mkdirs for the
clickhouse, fix this by using root dir where it is possible.
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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 a quick high-level overview of ClickHouse on the main page.
  • ClickHouse Cloud ClickHouse as a service, built by the creators and maintainers.
  • Tutorial shows how to set up and query a 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 chatting with ClickHouse users in real-time.
  • Blog contains various ClickHouse-related articles, as well as announcements and reports about events.
  • Code Browser (Woboq) with syntax highlight and navigation.
  • Code Browser (github.dev) with syntax highlight, powered by github.dev.
  • Contacts can help to get your questions answered if there are any.

Upcoming events

  • v22.11 Release Webinar Original creator, co-founder, and CTO of ClickHouse Alexey Milovidov will walk us through the highlights of the release, provide live demos, and share vision into what is coming in the roadmap.
  • ClickHouse Meetup at the Deutsche Bank office in Berlin Hear from Deutsche Bank on why they chose ClickHouse for big sensitive data in a regulated environment. The ClickHouse team will then present how ClickHouse is used for real time financial data analytics, including tick data, trade analytics and risk management.
  • AWS re:Invent Core members of the ClickHouse team -- including 2 of our founders -- will be at re:Invent from November 29 to December 3. We are available on the show floor, but are also determining interest in holding an event during the time there.