ClickHouse® is a real-time analytics DBMS
Go to file
VVMak 6adbd516cc
Annoy tests (#58)
* Added diskann to contrib

* Made cmake changes cleaner

* Implemented DiskANN aggregator

* Renamed index from Simple to DiskANN

* Implemented index aggregator

* Implemented index serialization

* Added condition to DiskANN index

* Implemented condition for diskann

* removed maybe_unused_attr

* Condition

* added some metrics and comparison operators

* Added common condition

* Added tests

* enchanced some tests

* Added inddex to tests

* Updated functional tests

* Added annoy tests

Co-authored-by: Danila Mishin <mishin.dk@phystech.edu>
Co-authored-by: Hakob Saghatelyan <sagatelyan.aa@phystech.edu>
2022-05-12 13:49:31 +03:00
.github
base Merge pull request #35005 from vdimir/fixarm64/00092_obfuscator 2022-03-03 12:17:30 +01:00
benchmark
cmake
contrib Annoy tests (#58) 2022-05-12 13:49:31 +03:00
debian
docker fasttest: add --print-time for "Test time" column in the results table 2022-03-03 15:44:41 +03:00
docs Merge pull request #35014 from FArthur-cmd/fix_tutorial_link 2022-03-03 14:06:07 +01:00
programs Merge pull request #34995 from vdimir/fix-aarch64 2022-03-03 12:18:28 +01:00
src Annoy tests (#58) 2022-05-12 13:49:31 +03:00
tests Annoy tests (#58) 2022-05-12 13:49:31 +03:00
utils Merge pull request #34487 from zzsmdfj/issue/32977_MaterializedMySQL_add_table_list_settings 2022-03-03 12:44:51 +01:00
website
.clang-format
.clang-tidy
.editorconfig
.gitattributes
.gitignore
.gitmodules Annoy tests (#58) 2022-05-12 13:49:31 +03:00
.pylintrc
.vimrc
.yamllint
02233_diskann_index.reference Annoy tests (#58) 2022-05-12 13:49:31 +03:00
AUTHORS
CHANGELOG.md Update changelog 2022-02-19 21:47:17 +01:00
CMakeLists.txt
CODE_OF_CONDUCT.md
CONTRIBUTING.md
format_sources allow several <graphite> targets (#603) 2017-03-21 23:08:09 +04:00
LICENSE
PreLoad.cmake
README.md
release
SECURITY.md

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 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.