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.
```
Testing data
```
select 'aaaaaaaa,bbbbbbbb,cccccccc,dddddddd,eeeeeeee,ffffffff,gggg,hhh' from numbers(3000000) into outfile '/tmp/test.csv'
```
Testing command
```
echo "select count() from file('/tmp/test.csv', CSV, 'a String, b String, c String, d String, e String, f String, g String, h String') where not ignore(e)" | clickhouse-benchmark
```
Before
```
QPS: 1.317, RPS: 3949749.687, MiB/s: 478.380, result RPS: 1.317, result MiB/s: 0.000.
0.000% 0.704 sec.
10.000% 0.712 sec.
20.000% 0.718 sec.
30.000% 0.726 sec.
40.000% 0.739 sec.
50.000% 0.754 sec.
60.000% 0.770 sec.
70.000% 0.788 sec.
80.000% 0.798 sec.
90.000% 0.815 sec.
95.000% 0.826 sec.
99.000% 0.850 sec.
99.900% 0.857 sec.
99.990% 0.858 sec.
```
After
```
QPS: 1.533, RPS: 4598308.336, MiB/s: 556.932, result RPS: 1.533, result MiB/s: 0.000.
0.000% 0.626 sec.
10.000% 0.635 sec.
20.000% 0.639 sec.
30.000% 0.642 sec.
40.000% 0.643 sec.
50.000% 0.645 sec.
60.000% 0.649 sec.
70.000% 0.652 sec.
80.000% 0.658 sec.
90.000% 0.682 sec.
95.000% 0.710 sec.
99.000% 0.727 sec.
99.900% 0.733 sec.
99.990% 0.734 sec.
```
