openeuler/sysbench repository overview

⁠Quick reference

• The official sysbench docker image.

• Maintained by: openEuler CloudNative SIG⁠.

• Where to get help: openEuler CloudNative SIG⁠, openEuler⁠.

⁠sysbench | openEuler

Current sysbench docker images are built on the openEuler⁠. This repository is free to use and exempted from per-user rate limits.

sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. It is most frequently used for database benchmarks, but can also be used to create arbitrarily complex workloads that do not involve a database server.

⁠Supported tags and respective Dockerfile links

The tag of each sysbench docker image is consist of the version of sysbench and the version of basic image. The details are as follows

⁠Usage

In this usage, users can select the corresponding {Tag} based on their requirements.

• Pull the openeuler/sysbench image from docker

  docker pull openeuler/sysbench:{Tag}
  

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• Run with an interactive shell

  You can also start the container with an interactive shell to use sysbench.

  docker run -it --rm openeuler/sysbench:{Tag} bash
  

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• CPU Benchmark

  Measure how many arithmetic operations (calculating prime numbers) your CPU can perform under multi-threaded load. Example:

  sysbench cpu --cpu-max-prime=20000 --threads=4 run
  

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  Options:

  • --cpu-max-prime=20000: Defines the maximum prime number to calculate. Higher values generate a heavier CPU worload.
  • --threads=4: Number of worker threads to use. You can set this according you physical CPU cores.
  • run: Execute the test.

• Memory benchmark

  Measure your system`s memory bandwidth by continuously reading and writing memory blocks. Example:

  sysbench memory --memory-block-size=1M --memory-total-size=10G run
  

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  Options:

  • --memory-block-size=1M: Size of each memory block for read/write operations. Default is 1k.
  • --memory-total-size=10G: Total amount of data to transfer. Larger values produce more stable results.
  • run: Execute the test.

⁠Question and answering

If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images⁠.