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ClickHouse® is a real-time analytics DBMS
dc2c1a4226
I don't see the reason for using expect here, and plus now the test is
only 2 lines instead.
Also this conversion should fix the test flakiness, since sometimes 60
seconds is not enough [1]:
2023.06.26 17:42:29.582168 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Debug> executeQuery: Query span trace_id for opentelemetry log: 00000000-0000-0000-0000-000000000000
2023.06.26 17:42:29.584019 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Debug> executeQuery: (from [::1]:38130) (comment: 02003_memory_limit_in_client.expect) SELECT arrayMap(x -> range(x), range(number)) FROM numbers(1000) (stage: Complete)
2023.06.26 17:42:29.588131 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Trace> InterpreterSelectQuery: FetchColumns -> Complete
2023.06.26 17:42:29.780980 [ 2566 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Debug> MemoryTracker: Current memory usage (for query): 1.24 GiB.
2023.06.26 17:43:29.179098 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Information> TCPHandler: Client has dropped the connection, cancel the query.
2023.06.26 17:44:05.523345 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Information> executeQuery: Code: 394. DB::Exception: Query was cancelled or a client has unexpectedly dropped the connection. (QUERY_WAS_CANCELLED) (version 23.6.1.1) (from [::1]:38130) (comment: 02003_memory_limit_in_client.expect) (in query: SELECT arrayMap(x -> range(x), range(number)) FROM numbers(1000))
2023.06.26 17:44:05.680631 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Debug> MemoryTracker: Peak memory usage (for query): 1.25 GiB.
2023.06.26 17:44:05.680747 [ 13456 ] {8a324061-a504-4843-be65-6abb5db4bc5c} <Debug> TCPHandler: Processed in 96.108615451 sec.
[1]: https://s3.amazonaws.com/clickhouse-test-reports/51407/e92035072b7b3367da12089b28041893eb90e636/stateless_tests__tsan__[2_5].html
And it is either expect is too slow, or server did not respond for
awhile, but this was a TSan build and trace_log is empty, so it is not
possible to check which one was the problem.
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.
How To Install (Linux, macOS, FreeBSD)
curl https://clickhouse.com/ | sh
Useful Links
- 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
- v23.6 Release Webinar - Jun 29 - 23.6 is rapidly approaching. Original creator, co-founder, and CTO of ClickHouse Alexey Milovidov will walk us through the highlights of the release.
- ClickHouse Meetup in Paris - Jul 4
- ClickHouse Meetup in Boston - Jul 18
- ClickHouse Meetup in NYC - Jul 19
- ClickHouse Meetup in Toronto - Jul 20
- ClickHouse Meetup in Singapore - Jul 27
Also, keep an eye out for upcoming meetups around the world. Somewhere else you want us to be? Please feel free to reach out to tyler clickhouse com.
Recent Recordings
- Recent Meetup Videos: Meetup Playlist Whenever possible recordings of the ClickHouse Community Meetups are edited and presented as individual talks. Current featuring "Modern SQL in 2023", "Fast, Concurrent, and Consistent Asynchronous INSERTS in ClickHouse", and "Full-Text Indices: Design and Experiments"
- Recording available: v23.4 Release Webinar Faster Parquet Reading, Asynchonous Connections to Reoplicas, Trailing Comma before FROM, extractKeyValuePairs, integrations updates, and so much more! Watch it now!
- All release webinar recordings: YouTube playlist
Interested in joining ClickHouse and making it your full time job?
We are a globally diverse and distributed team, united behind a common goal of creating industry-leading, real-time analytics. Here, you will have an opportunity to solve some of the most cutting edge technical challenges and have direct ownership of your work and vision. If you are a contributor by nature, a thinker as well as a doer - we’ll definitely click!
Check out our current openings here: https://clickhouse.com/company/careers
Cant find what you are looking for, but want to let us know you are interested in joining ClickHouse? Email careers@clickhouse.com!