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ClickHouse® is a real-time analytics DBMS
38de183379
According to query_log/trace_log the problem is real: 2021.10.10 07:52:37.702364 [ 3736 ] {c6a219f2-3df8-4474-8324-bb307ee7a7a9} <Debug> executeQuery: (from [::1]:38096) (comment: /usr/share/clickhouse-test/queries/0_stateless/00984_parser_stack_overflow.sh) SELECT [[[... 2021.10.10 07:53:11.407949 [ 3736 ] {c6a219f2-3df8-4474-8324-bb307ee7a7a9} <Error> executeQuery: Code: 306. DB::Exception: Maximum parse depth (1000) exceeded. Consider rising max_parser_depth ... From trace_log: 2021-10-10 07:52:37.958938 DB::Dwarf::findDebugInfoOffset 2021-10-10 07:53:12.583248 DB::Dwarf::findDebugInfoOffset CI: https://clickhouse-test-reports.s3.yandex.net/29928/2bab572caf91d2fc8962f409fea34149ecec8c95/functional_stateless_tests_(debug).html#fail1 |
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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 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.
- Contacts can help to get your questions answered if there are any.