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ClickHouse® is a real-time analytics DBMS
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clickhouse-benchmark <<< 'select count() from s where not ignore(s);' before this patch: ``` QPS: 0.732, RPS: 2346562049.608, MiB/s: 22378.560, result RPS: 0.732, result MiB/s: 0.000. 0.000% 1.310 sec. 10.000% 1.321 sec. 20.000% 1.327 sec. 30.000% 1.337 sec. 40.000% 1.343 sec. 50.000% 1.359 sec. 60.000% 1.366 sec. 70.000% 1.381 sec. 80.000% 1.400 sec. 90.000% 1.434 sec. 95.000% 1.448 sec. 99.000% 1.489 sec. 99.900% 1.499 sec. 99.990% 1.500 sec. ``` after this patch: ``` QPS: 0.787, RPS: 2524560389.064, MiB/s: 24076.084, result RPS: 0.787, result MiB/s: 0.000. 0.000% 1.228 sec. 10.000% 1.232 sec. 20.000% 1.235 sec. 30.000% 1.241 sec. 40.000% 1.246 sec. 50.000% 1.256 sec. 60.000% 1.265 sec. 70.000% 1.278 sec. 80.000% 1.296 sec. 90.000% 1.321 sec. 95.000% 1.354 sec. 99.000% 1.421 sec. 99.900% 1.453 sec. 99.990% 1.456 sec. ``` I also tried a SSE2 implementation and it's much slower (50%) |
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ClickHouse
ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
Useful links
- 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.
- Contacts can help to get your questions answered if there are any.