benchmark-runner 1.0.76

Benchmark Runner Tool

Benchmark-Runner

This tool provides a lightweight and flexible framework for running benchmark workloads on Kubernetes/OpenShift Pod or VM.

This tool support the following workloads:

• hammerdb: running hammerdb workload on the following databases: MSSQL, Mariadb, Postgresql on Pod and VM with Configuration
• stressng: running stressng workload on Pod or VM with Configuration
• uperf: running uperf workload on Pod or VM with Configuration

** First Phase: supports benchmark-operator workloads

Hammerdb Kibana dashboard:

Reference:

• The benchmark-runner package is located in PyPi
• The benchmark-runner container image is located in Quay.io

Table of Contents

• Run workload using Podman or Docker
• Run workload in Pod using Kubernetes or OpenShift

Run workload using Podman or Docker

Environment variables description:

auto: NAMESPACE=benchmark-operator [ The default namespace is benchmark-operator ]

auto: OCS_PVC=true [ The default is OCS PVC ]

auto: RUNNER_PATH=/ [ The default work space is / ]

mandatory: KUBEADMIN_PASSWORD=$KUBEADMIN_PASSWORD

mandatory: WORKLOAD=$WORKLOAD

Choose one from the following list:

['stressng_pod', 'stressng_vm','uperf_pod', 'uperf_vm', 'hammerdb_pod_mariadb', 'hammerdb_pod_mssql', 'hammerdb_pod_postgres', 'hammerdb_vm_mariadb', 'hammerdb_vm_mssql', 'hammerdb_vm_postgres']

optional: PIN_NODE_BENCHMARK_OPERATOR=$PIN_NODE_BENCHMARK_OPERATOR [node selector for benchmark operator pod]

optional: PIN_NODE1=$PIN_NODE1 [node1 selector for running the workload]

optional: PIN_NODE2=$PIN_NODE2 [node2 selector for running the workload, i.e. uperf server and client, hammerdb database and workload]

optional: ELASTICSEARCH=$ELASTICSEARCH [ elasticsearch service name]

optional: ELASTICSEARCH_PORT=$ELASTICSEARCH_PORT

podman run --rm -e WORKLOAD=$WORKLOAD -e KUBEADMIN_PASSWORD=$KUBEADMIN_PASSWORD -e PIN_NODE_BENCHMARK_OPERATOR=$PIN_NODE_BENCHMARK_OPERATOR -e PIN_NODE1=$PIN_NODE1 -e PIN_NODE2=$PIN_NODE2 -e ELASTICSEARCH=$ELASTICSEARCH -e ELASTICSEARCH_PORT=$ELASTICSEARCH_PORT -e log_level=INFO -v $KUBECONFIG:/root/.kube/config --privileged quay.io/ebattat/benchmark-runner:latest

# For custom workload data configuration add:
-v /home/user/stressng/stressng_data.yaml:/benchmark_runner/benchmark_operator/template/stressng/stressng_data.yaml

Run workload in Pod using Kubernetes or OpenShift

[TBD]