These are a few benchmarks that are designed to test specific parts of the code to demonstrate the performance difference between using this lib and the normal Redis client.
Before running any benchmark you should install this lib in editable mode inside a virtualenv so it can import RedisCluster lib.
Install with
pip install -e .You also need a few redis servers to test against. You must have one cluster with at least one node on port 7001 and you must also have a non-clustered server on port 7007.
Implemented benchmarks ---------------------
- simple.py, This benchmark can be used to measure a simple set and get operation chain. It also supports running pipelines by adding the flag --pipeline.
These are a set of predefined benchmarks that can be run to measure the performance drop from using this library.
To run the benchmarks run
make benchmarkExample output and comparison of different runmodes
-- Running Simple benchmark with Redis lib and non cluster server, 50 concurrent processes and total 50000*2 requests --python benchmarks/simple.py --host 127.0.0.1 --timeit --nocluster -c 50 -n 50000 50.0k SET/GET operations took: 2.45 seconds... 40799.93 operations per second
-- Running Simple benchmark with RedisCluster lib and cluster server, 50 concurrent processes and total 50000*2 requests --
python benchmarks/simple.py --host 127.0.0.1 --timeit -c 50 -n 50000 50.0k SET & GET (each 50%) operations took: 9.51 seconds... 31513.71 operations per second
-- Running Simple benchmark with pipelines & Redis lib and non cluster server --
python benchmarks/simple.py --host 127.0.0.1 --timeit --nocluster -c 50 -n 50000 --pipeline 50.0k SET & GET (each 50%) operations took: 2.1728243827819824 seconds... 46023.047602201834 operations per second
-- Running Simple benchmark with RedisCluster lib and cluster server
python benchmarks/simple.py --host 127.0.0.1 --timeit -c 50 -n 50000 --pipeline 50.0k SET & GET (each 50%) operations took: 1.7181339263916016 seconds... 58202.68051514381 operations per second