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ClickHouse® is a real-time analytics DBMS
5d49bf1b81
Before:
00170_s3_cache:
Found queries left in processlist after running 00170_s3_cache.sql (database=test_8zpbah):
[
...
]
2022-03-27 00:11:27 [ FAIL ] 600.06 sec. - Timeout!
After:
02263_test: [ FAIL ] - Queries left in background after the test finished:
[
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]
Settings used in the test: --max_insert_threads=11 --group_by_two_level_threshold=100000 --group_by_two_level_threshold_bytes=50000000 --distributed_aggregation_memory_efficient=0 --fsync_metadata=0 --priority=2 --output_format_parallel_formatting=1 --input_format_parallel_parsing=0 --min_chunk_bytes_for_parallel_parsing=12372842 --max_read_buffer_size=855730 --prefer_localhost_replica=1 --max_block_size=74323 --max_threads=56
Database: default
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.