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SCT - Scylla Cluster Tests

SCT tests are designed to test Scylla database on physical/virtual servers under high read/write load. Currently, the tests are run using built in unittest These tests automatically create:

  • Scylla clusters - Run Scylla database
  • Loader machines - used to run load generators like cassandra-stress
  • Monitoring server - uses official Scylla Monitoring repo to monitor Scylla clusters and Loaders

Quickstart

Option 1 - Config AWS using OKTA (preferred option)

https://www.notion.so/AWS-864b26157112426f8e74bab61001425d

Option 2 - Config AWS using AWS credentials

# install aws cli
sudo apt install awscli # Debian/Ubuntu
sudo dnf install awscli # Redhat/Fedora
# or follow amazon instructions to get it: https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html

# Ask your AWS account admin to create a user and access key for AWS) and then configure AWS

> aws configure
AWS Access Key ID [****************7S5A]:
AWS Secret Access Key [****************5NcH]:
Default region name [us-east-1]:
Default output format [None]:

# if using OKTA, use any of the tools to create the AWS profile, and export it as such,
# anywhere you are gonna use hydra command (replace DeveloperAccessRole with the name of your profile):
export AWS_PROFILE=DeveloperAccessRole

# Install hydra (docker holding all requirements for running SCT)
sudo ./install-hydra.sh

# if using podman, we need to disable enforcing of short name usage, without it monitoring stack won't run from withing hydra
echo 'unqualified-search-registries = ["registry.fedoraproject.org", "registry.access.redhat.com", "docker.io", "quay.io"]
short-name-mode="permissive"
' > ~/.config/containers/registries.conf

Run a test

Example running test using Hydra using test-cases/PR-provision-test.yaml configuration file

Run test locally with AWS backend:

export SCT_SCYLLA_VERSION=5.2.1
# Test fails to report to Argus. So we need to disable it
export SCT_ENABLE_ARGUS=false
# configuration is needed for running from a local development machine (default communication is via private addresses)
hydra run-test longevity_test.LongevityTest.test_custom_time --backend aws --config test-cases/PR-provision-test.yaml --config configurations/network_config/test_communication_public.yaml

# Run with IPv6 configuration
hydra run-test longevity_test.LongevityTest.test_custom_time --backend aws --config test-cases/PR-provision-test.yaml --config configurations/network_config/all_addresses_ipv6_public.yaml

Run test using SCT Runner with AWS backend:

hydra create-runner-instance --cloud-provider <cloud_name> -r <region_name> -z <az> -t <test-id> -d <run_duration>

export SCT_SCYLLA_VERSION=5.2.1
# For choose correct network configuration, check test jenkins pipeline.
# All predefined configurations are located under `configurations/network_config`
hydra --execute-on-runner <runner-ip|`cat sct_runner_ip> "run-test longevity_test.LongevityTest.test_custom_time --backend aws --config test-cases/PR-provision-test.yaml"

Run test locally with GCE backend:

export SCT_SCYLLA_VERSION=5.2.1
export SCT_IP_SSH_CONNECTIONS="public"
hydra run-test longevity_test.LongevityTest.test_custom_time --backend gce --config test-cases/PR-provision-test.yaml

Run test locally with Azure backend:

export SCT_SCYLLA_VERSION=5.2.1
hydra run-test longevity_test.LongevityTest.test_custom_time --backend azure --config test-cases/PR-provision-test.yaml

Run test locally with docker backend:

# **NOTE:** user should be part of sudo group, and setup with passwordless access,
# see https://unix.stackexchange.com/a/468417 for example on how to setup

# example of running specific docker version
export SCT_SCYLLA_VERSION=5.2.1
hydra run-test longevity_test.LongevityTest.test_custom_time --backend docker --config test-cases/PR-provision-test-docker.yaml

You can also enter the containerized SCT environment using:

hydra bash

List resources being used by user:

# NOTE: Only use `whoami` if your local use is the same as your okta/email username
hydra list-resources --user `whoami`

Reuse already running cluster:

export SCT_REUSE_CLUSTER=$(cat ~/sct-results/latest/test_id)
hydra run-test longevity_test.LongevityTest.test_custom_time --backend aws --config test-cases/PR-provision-test.yaml --config configurations/network_config/test_communication_public.yaml

More details on reusing a cluster can be found in reuse_cluster

Clear resources:

hydra clean-resources --user `whoami`
# by default, it only cleans aws resources
# to clean other backends, specify manually
hydra clean-resources --user `whoami` -b gce

Clear resources being used by the last test run:

SCT_CLUSTER_BACKEND= hydra clean-resources --test-id `cat ~/sct-results/latest/test_id`

Install local development environment

Frequently Asked Questions (FAQ)

Contribution instructions

Supported backends

  • aws - the mostly used backed, most longevity run on top of this backend

  • gce - most of the artifacts and rolling upgrades run on top of this backend

  • azure -

  • docker - should be used for local development

  • baremetal - can be used to run with already setup cluster

  • k8s-eks -

  • k8s-gke -

  • k8s-local-kind - used for run k8s functional test locally

  • k8s-local-kind-gce - used for run k8s functional test locally on GCE

  • k8s-local-kind-aws - used for run k8s functional test locally on AWS

Configuring test run configuration YAML

Take a look at the test-cases/PR-provision-test.yaml file. It contains a number of configurable test parameters, such as DB cluster instance types and AMI IDs. In this example, we're assuming that you have copied test-cases/PR-provision-test.yaml to test-cases/your_config.yaml.

All the test run configurations are stored in test-cases directory.

Important: Some tests use custom hardcoded operations due to their nature, so those tests won't honor what is set in test-cases/your_config.yaml.

the available configuration options are listed in configuration_options

Types of Tests

Artifact tests

Longevity Tests (TODO: write explanation for them)

Upgrade Tests (TODO: write explanation for them)

Performance Tests (TODO: write explanation for them)

Features Tests (TODO: write explanation for them)

Manager Tests (TODO: write explanation for them)

K8S Functional Tests

Microbenchmarking Tests