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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 npmfor Debian/Ubuntu,brew install npmfor Mac OS or download and install manually https://nodejs.org/en/download/ - Run setup_gulp.sh once to install prerequisites via npm
- Use
gulp buildto minify website to "public" folder or justgulpto run local webserver with livereload serving it