Summary:
For HA benchmarks, if one of the executables exits with a status other
than zero, the benchmark should fail.
Also, removing `LOG(INFO)`, since failing benchmarks should flag where to look.
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1921
Summary:
This macro benchmark measures read throughput in HA.
The test first creates a random graph with a given number of nodes
and edges. After that, it concurently performs the following query
for 10 seconds:
```
MATCH (n {id:$random_id})-[e]->(m) RETURN e, m;
```
In other words, it randomly picks a node and returns all its neighbours.
Locally measured results are as follows:
| nodes | edges | queries per second |
| 100 | 500 | 8900 |
| 1000 | 5000 | 2700 |
| 10000 | 50000 | 1200 |
Running the same test on Memgraph single node yields very similar results
(up to a few hundred queries).
Reviewers: msantl
Reviewed By: msantl
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1916
