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AISLoader Composer

This directory contains scripts and ansible playbooks to benchmark an AIS cluster using multiple hosts running aisloader, controlled by ansible. To collect system metrics we optionally use netdata, a free and open source data aggregator deployed as a container on the AIS nodes.

Prerequisites

  • python3 and pip3 available in your path
  • ansible installed: python3 -m pip install --user ansible
  • aisloader installed on each of the hosts it will run on
    • Build the aisloader binary (make aisloader from the aistore source root)
    • Update the inventory file in common.sh and aisloader path in setup_aisloader.sh and run the script to copy the aisloader binary to each of the client nodes
  • network access to each of the aisloader hosts
  • network access from each of the aisloader hosts to any AIS proxy in the cluster
  • if netdata is used, docker must be installed on each AIS target node. Use provided install_docker.sh script.

Configuration

  1. Set up an ansible hosts configuration file (the current scripts all use inventory/inventory.yaml). This file must have a section aisloader_hosts and a section target_hosts. Update the reference to this hosts file in common.sh.
  2. Set up stats monitoring
  3. Modify the GRAFANA_HOST variable in common.sh to set the machine that will host grafana and graphite.
  4. Ensure docker is installed and accessible on each target host. The provided install_docker.sh will do this automatically.
  5. Run start_grafana.sh and start_netdata.sh to start the containers to collect and display aisloader and system statistics.
  6. Configure your benchmarks
  7. Modify the run_get_bench and run_put_bench scripts as needed to set object sizes, benchmark durations, bucket names, and other options. These variables can also be set at runtime via the command line.
  8. Configure the number of worker threads each aisloader instance will use in playbooks/vars/bench.yaml.
  9. Run configure_aisloader.sh to update the TCP settings on the aisloader hosts. This is necessary to enable a very large number of outbound connections (to the AIS cluster) without exhausting the number of local ports available.
  10. To run individual benchmarks, use the run_get_bench and run_put_bench scripts. For an example running multiple variations of benchmarks, see run_all.sh.
  11. The parse_results Python script can be used to summarize the results exported to the /output directory.

Optional

  1. To run disk benchmarks, uncomment the desired sections from the disk_bench.sh and run the disk_bench.yaml playbook with the target_hosts variable. This will trigger fio benchmarks on the corresponding AIS targets.
  2. To view grafana dashboards with metrics sent by aisloader and netdata, use your browser to access grafana_host (see grafana_host argument in the scripts). Note that the default grafana port is 3000. Then you can optionally import the included throughput dashboard in grafana_dashboards.
  3. To view individual host netdata dashboards, use your browser to access the host's IP at the netdata default port 19999.

Notes

  • The get benchmarks expect data to already exist in the clusters. Either populate the bucket or use the put benchmark first.
  • Note that individual aisloader hosts do not communicate with each other. Secondly, when running put workloads aisloader will create destination bucket iff the latter does not exist. That's why it is recommended to create buckets prior to writing (into those buckets) from multiple aisloaders.
  • None of the aisloader runs use the cleanup option. For all supported options, simply run aisloader or check aisloader's readme.
  • To debug, add -vvv to the ansible-playbook command in common.sh to get the full command that is run on each host.
  • fio rand_write is destructive and cannot (shall not!) be used in combination with the allow_mounted_write option. The rand_write option is commented out in both the ansible playbook and the script.