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This implements a new function for approximate computation of the most frequent entries using Filtered Space Saving with a merge step adapted from Parallel Space Saving paper. It works better for cases where GROUP BY x is impractical due to high cardinality of x, such as top IP addresses or top search queries. |
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.. | ||
nginx | ||
benchmark.html | ||
Dockerfile | ||
favicon.ico | ||
google419fbd824d7ff97d.html | ||
gulpfile.js | ||
index.html | ||
jquery.js | ||
logo.png | ||
logo.svg | ||
README.md | ||
reference_en.html | ||
reference_ru.html | ||
reference.css | ||
release.sh | ||
robots.txt | ||
setup_gulp.sh | ||
tutorial.html | ||
yandex-black-button.png | ||
yandex-white-button.png |
ClickHouse website quickstart:
- If npm is not installed:
apt-get install npm
for Debian/Ubuntu,brew install npm
for Mac OS or download and install manually https://nodejs.org/en/download/ - Run setup_gulp.sh once to install prerequisites via npm
- Use
gulp build
to minify website to "public" folder or justgulp
to run local webserver with livereload serving it