This is a suite of scalability tests for the Data Storage System, which is the storage platform used by the Human Cell Atlas.

The tests use locust the load testing framework. Here are some resources for working with locust.

• locust-cloudwatch for adding locust metrics to cloudwatch.
• A locust-docker image.
• A more advanced Docker Locust image
• Tips on How do I Loucst

• different ways to scale out
  • AWS Lambdas
  • AWS Elastic Beanstalk
  • Docker Swarm

To run using docker you:

• configure DSS-scalability/locust-docker/locust.config.json with the host and the Users to run.

• copy DSS-scalability/locustfiles to DSS-scalability/locust-docker/scripts directory.

• run docker build -t loctest .

• run docker run -it --rm -v ./DSS-scalability/scripts:/scripts loctest

• Build docker image

• make it run from command line. Take host as a parameter

• deploy dashboards if you have permission. Do this in DSS repo.

• deploy lambdas using make deploy

• setup environment variables

Using Python 3.6:

$ pip install -r requirements.txt
$ locust -f ./scale_tests/upload_cloud.py --host=$HOST --no-web --client=100 --hatch-rate=50 --run-time=10s --csv=./scale_tests/upload

Where $HOST is the base URL of the DSS endpoint you want to hit, e.g. https://dss.dev.data.humancellatlas.org/v1/. (The tests will look for ${HOST}swagger.yaml.)

• TARGET_URL - specifies the endpoint for unittests to target (e.g. https://dss.dev.data.humancellatlas.org/v1/).
• GOOGLE_APPLICATION_CREDENTIALS - A file path to google application credentials Used to access endpoints that require Auth.

Preconfigured test are located in ./scale_tests. Additional scale test should be added to this directory.

If new python module is required, added the requirement to DSS-scalability/requirements.txt.

If using Elastic Beanstalk add the new requirements to DSS-scalability/eb-locustio-sample/.ebextensions/setup.config under locust36.

downloads the packages for aws lambda env

docker run -it --volume=$PWD:/pp python:3.6 bash -c "pip download invokust locustio==0.8.1 gevent==1.2.2 git+git://github.com/HumanCellAtlas/dcp-cli#egg=hca --dest=/pp"

How to build wheels for the aws lambda env

1. Run docker run -it --volume=$PWD:/chalice python:3.6 bash -c “pip wheel —wheel-dir=chalice/py_pkgs -r /requirements.txt"
2. follow instructions after "The cryptography wheel file has been built" -> chalice requirements example

Some macOS users might see an error like:

Failed to establish a new connection: [Errno 8] nodename nor servname provided, or not known

This is because newer version of macOS impose a much stricter limit on the maximum amount of open file descriptors. This issue can be addressed by doing

$ ulimit -S -n 10240

before running tests, which should increase the open file descriptor limit to 10240 until the next reboot.