ClickHouse® is a real-time analytics DBMS
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Alexander Kuzmenkov f3bde19b74 Do not use iterators in find() and emplace() methods of hash tables.
Instead, these methods return a pointer to the required data as they are
stored inside the hash table. The caller uses overloaded functions to
get the key and "mapped" values from this pointer. Such an interface
avoids the need for constructing iterator-like wrapper objects, which is
especially important for compound hash tables such as the future
StringHashMap.
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.github Changed repository URL 2019-09-23 19:18:19 +03:00
cmake Fixed build with CMake 3.10. 2019-09-24 03:22:05 +03:00
contrib Revert "Updated MariaDB" 2019-09-24 05:11:52 +03:00
dbms Do not use iterators in find() and emplace() methods of hash tables. 2019-09-24 17:44:35 +03:00
debian fixes 2019-09-17 12:33:46 +00:00
docker Fix smoke test image 2019-09-24 11:32:01 +03:00
docs Docs(hash_functions): fix xxHash32, xxHash64 (#6992) 2019-09-24 03:50:58 +03:00
libs Revert "Updated MariaDB" 2019-09-24 05:11:52 +03:00
utils Merge pull request #7028 from abyss7/issue-6459 2019-09-24 02:20:17 +03:00
website Removed my old favorite ClickHouse documentation 2019-09-23 19:22:03 +03:00
.clang-format Fix style 2018-12-10 18:50:58 +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
.gitignore delete BlockInputStreamFromRowInputStream 2019-08-27 21:29:56 +03:00
.gitlab-ci.yml fix ci 2018-02-06 13:13:44 +03:00
.gitmodules Replace libsparsehash with sparsehash-c11 2019-09-18 00:08:20 +03:00
.vimrc Changed tabs to spaces in editor configs and in style guide [#CLICKHOUSE-3]. 2017-04-01 11:35:09 +03:00
AUTHORS CLICKHOUSE-2720: progress on website and reference (#886) 2017-06-20 17:19:03 +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.
  • 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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