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ClickHouse® is a real-time analytics DBMS
8851fbcab2
Testing data
```
select 'aaaaaaaa','bbbbbbbb','cccccccc','dddddddd','eeeeeeee','ffffffff','gggg','hhh' from numbers(3000000) into outfile '/tmp/test.tsv'
```
Testing command
```
echo "select count() from file('/tmp/test.tsv', CSV, 'a String, b String, c String, d String, e String, f String, g String, h String') where not ignore(e)" | clickhouse-benchmark
```
TSV parser has less overhead than CSV, using it would better unveil the benefits of memcpySmall.
Before
```
QPS: 1.662, RPS: 4985463.906, MiB/s: 603.823, result RPS: 1.662, result MiB/s: 0.000.
0.000% 0.559 sec.
10.000% 0.564 sec.
20.000% 0.568 sec.
30.000% 0.572 sec.
40.000% 0.575 sec.
50.000% 0.581 sec.
60.000% 0.592 sec.
70.000% 0.624 sec.
80.000% 0.639 sec.
90.000% 0.664 sec.
95.000% 0.686 sec.
99.000% 0.711 sec.
99.900% 0.715 sec.
99.990% 0.716 sec.
```
After
```
QPS: 1.861, RPS: 5582303.107, MiB/s: 676.110, result RPS: 1.861, result MiB/s: 0.000.
0.000% 0.510 sec.
10.000% 0.514 sec.
20.000% 0.517 sec.
30.000% 0.521 sec.
40.000% 0.523 sec.
50.000% 0.527 sec.
60.000% 0.530 sec.
70.000% 0.539 sec.
80.000% 0.558 sec.
90.000% 0.584 sec.
95.000% 0.589 sec.
99.000% 0.608 sec.
99.900% 0.655 sec.
99.990% 0.663 sec.
```
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| website | ||
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| CHANGELOG_RU.md | ||
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| CONTRIBUTING.md | ||
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| docker-compose.yml | ||
| format_sources | ||
| format.sh | ||
| LICENSE | ||
| PreLoad.cmake | ||
| README.md | ||
| release | ||
| release_lib.sh | ||
| suppress_base.json | ||
| uncrustify.cfg | ||
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.