Run workload using Podman or Docker

The following options may be passed via command line flags or set in the environment:

mandatory: KUBEADMIN_PASSWORD=$KUBEADMIN_PASSWORD

mandatory: $KUBECONFIG [ kubeconfig file path]

mandatory: WORKLOAD=$WORKLOAD

Choose one from the following list:

['stressng_pod', 'stressng_vm', 'stressng_kata', 'uperf_pod', 'uperf_vm', 'uperf_kata', 'hammerdb_pod_mariadb', 'hammerdb_vm_mariadb', 'hammerdb_kata_mariadb', 'hammerdb_pod_mariadb_lso', 'hammerdb_vm_mariadb_lso', 'hammerdb_kata_mariadb_lso', 'hammerdb_pod_postgres', 'hammerdb_vm_postgres', 'hammerdb_kata_postgres', 'hammerdb_pod_postgres_lso', 'hammerdb_vm_postgres_lso', 'hammerdb_kata_postgres_lso', 'hammerdb_pod_mssql', 'hammerdb_vm_mssql', 'hammerdb_kata_mssql', 'hammerdb_pod_mssql_lso', 'hammerdb_vm_mssql_lso', 'hammerdb_kata_mssql_lso', 'vdbench_pod', 'vdbench_kata', 'vdbench_vm', 'clusterbuster', 'bootstorm_vm']

** For hammerdb mssql must run only once permission

** clusterbuster workloads: cpusoaker, files, fio, uperf. For more details see

Not mandatory:

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

auto: ODF_PVC=True [ True=ODF PVC storage, False=Ephemeral storage, default True ]

auto: EXTRACT_PROMETHEUS_SNAPSHOT=True [ True=extract Prometheus snapshot into artifacts, false=don’t, default True ]

auto: SYSTEM_METRICS=False [ True=collect metric, False=not collect metrics, default False ]

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

optional: KUBEADMIN_PASSWORD=$KUBEADMIN_PASSWORD

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

optional: CLUSTER=$CLUSTER [ set CLUSTER=’kubernetes’ to run workload on a kubernetes cluster, default ‘openshift’ ]

optional:scale SCALE=$SCALE [For Vdbench/Bootstorm: Scale in each node]

optional:scale SCALE_NODES=$SCALE_NODES [For Vdbench/Bootstorm: Scale’s node]

optional:scale REDIS=$REDIS [For Vdbench only: redis for scale synchronization]

optional: LSO_DISK_ID=$LSO_DISK_ID [LSO_DISK_ID=’scsi-<replace_this_with_your_actual_disk_id>’ For using LSO Operator in hammerdb]

optional: WORKER_DISK_IDS=$WORKER_DISK_IDS [WORKER_DISK_IDS For ODF/LSO workloads hammerdb/vdbench]

For example:

podman run --rm --workload=$WORKLOAD --kubeadmin-password=$KUBEADMIN_PASSWORD --pin-node-benchmark-operator=$PIN_NODE_BENCHMARK_OPERATOR --pin-node1=$PIN_NODE1 --pin-node2=$PIN_NODE2 --elasticsearch=$ELASTICSEARCH --elasticsearch-port=$ELASTICSEARCH_PORT -v $KUBECONFIG:/root/.kube/config --privileged quay.io/ebattat/benchmark-runner:latest

or

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

SAVE RUN ARTIFACTS LOCAL:

add -e SAVE_ARTIFACTS_LOCAL='True' or --save-artifacts-local=true
add -v /tmp:/tmp
git clone -b v1.0.3 https://github.com/cloud-bulldozer/benchmark-operator /tmp/benchmark-operator