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Benchmarks
==========
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.
Setup benchmarks
----------------
Before running any benchmark you should install this lib in editable mode inside a virtualenv so it can import `RedisCluster` lib.
Install with
.. code-block:: bash
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`.
Run predefined benchmarks
-------------------------
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
.. code-block:: bash
make benchmark
Example output and comparison of different runmodes
.. code-block::
-- 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
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