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ClickHouse® is a real-time analytics DBMS
b3bf7589ef
In case of all of the above:
- clickhouse-local
- input_format_parallel_parsing=true
- write_progress_on_update=true
It is possible concurrent access to the following:
- writeProgress() (class properties) (guarded with progress_mutex)
- thread_data/host_cpu_usage (guarded with profile_events_mutex)
v2: decrease number of rows for INSERT ProfileEvents test (10 times)
CI: https://s3.amazonaws.com/clickhouse-test-reports/37391/4bd5c335182279dcc5020aa081b13c3044135951/stateless_tests__debug__actions__[1/3].html
v3: decrease number of rows for INSERT ProfileEvents test (10 times) and add a comment
CI: https://s3.amazonaws.com/clickhouse-test-reports/37391/026d7f732cb166c90d6c287b02824b6c7fdebf0c/stateless_tests_flaky_check__address__actions_/runlog.log
Signed-off-by: Azat Khuzhin <a.khuzhin@semrush.com>
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ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.
Useful Links
- Official website has a quick high-level overview of ClickHouse on the main page.
- 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.