Latency

Our approach to SQL performance benchmarking is to use sysbench, an industry standard benchmarking tool.
Performance Roadmap
Dolt is slower than MySQL. The goal is to get Dolt to within 2-4 times the speed of MySQL for common operations. If a query takes MySQL 1 second, we expect it to take Dolt 2-4 seconds. Or, if MySQL can run 8 queries in 10 seconds, then we want Dolt to run 2-4 queries in 10 seconds. The multiple column represents this relationship with regard to a particular benchmark.
It's important recognize that these are industry standard tests, and are OLTP oriented. Many Dolt use-cases are non-OLTP, and Dolt is fast for bulk operations common in, for example, data pipeline contexts.
Benchmark Data
Below are the results of running sysbench MySQL tests against Dolt SQL Server for the most recent release of Dolt. We will update this with every release. The tests attempt to run as many queries as possible in a fixed 2 minute time window. The Dolt and MySQL columns show the median latency in milliseconds (ms) of each query during that 2 minute time window.
The Dolt version is 0.40.25.
Read Tests
MySQL
Dolt
Multiple
covering_index_scan
2.0
6.79
3.4
groupby_scan
12.08
22.69
1.9
index_join_scan
1.12
17.32
15.5
index_scan
30.26
64.47
2.1
oltp_point_select
0.15
0.6
4.0
oltp_read_only
3.02
9.73
3.2
select_random_points
0.3
1.42
4.7
select_random_ranges
0.35
1.55
4.4
table_scan
30.81
58.92
1.9
types_table_scan
68.05
580.02
8.5
reads_mean_multiplier
​
​
5.0
Write Tests
MySQL
Dolt
Multiple
bulk_insert
0.001
0.001
1.0
oltp_delete_insert
3.43
19.65
5.7
oltp_insert
1.58
8.13
5.1
oltp_read_write
5.47
36.89
6.7
oltp_update_index
1.64
9.39
5.7
oltp_update_non_index
1.67
6.55
3.9
oltp_write_only
2.52
26.2
10.4
types_delete_insert
3.3
158.63
48.1
writes_mean_multiplier
​
​
10.8
Overall Mean Multiple
7.6
​
​


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Outline

Performance Roadmap

Benchmark Data