ClickHouse® is a real-time analytics DBMS
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Azat Khuzhin 5d11118cc9 Use thread pool (background_distributed_schedule_pool_size) for distributed sends
After #8756 the problem with 1 thread for each (distributed table, disk)
for distributed sends became even worse (since there can be multiple
disks), so use predefined thread pool for this tasks, that can be
controlled with background_distributed_schedule_pool_size knob.
2020-04-19 12:01:56 +03:00
.github Move all folders inside /dbms one level up (#9974) 2020-04-02 02:51:21 +03:00
base Merge pull request #10343 from azat/colored-logger-name 2020-04-18 04:15:48 +03:00
benchmark Move all folders inside /dbms one level up (#9974) 2020-04-02 02:51:21 +03:00
cmake build on FreeBSD fix (amd64) 2020-04-18 16:54:45 +03:00
contrib Show information about not loaded dictionaries in system.columns, system.tables 2020-04-18 12:50:54 +03:00
debian Removed leftovers 2020-03-21 19:43:31 +03:00
docker Merge pull request #9985 from ClickHouse/fix-perftest-distributed-aggregation 2020-04-18 03:08:34 +03:00
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src Use thread pool (background_distributed_schedule_pool_size) for distributed sends 2020-04-19 12:01:56 +03:00
tests Cleanup 01040_distributed_directory_monitor_batch_inserts 2020-04-19 00:22:48 +03:00
utils Add util to test results upload in CI ClickHouse 2020-04-17 15:48:21 +03:00
website [ImgBot] Optimize images 2020-04-18 09:07:56 +00:00
.clang-format Fixed wrong code around Memory Profiler 2020-03-03 03:24:44 +03:00
.clang-tidy Clang Tidy, part 7 (#9799) 2020-03-23 05:12:31 +03:00
.editorconfig Changed tabs to spaces in editor configs and in style guide [#CLICKHOUSE-3]. 2017-04-01 11:35:09 +03:00
.gitattributes Decreased warning threshold [#MOBMET-3248] 2016-06-07 11:23:15 +03:00
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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 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 announces and reports about events.
  • Contacts can help to get your questions answered if there are any.
  • You can also fill this form to meet Yandex ClickHouse team in person.

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