A Scala library for integration testing with Docker containers, providing utilities to define, manage, and verify services.
docker-it-scala is a library that facilitates integration testing with Docker containers in Scala projects. It provides utilities to define, start, and manage Dockerized services (like databases) within test suites, ensuring they are ready before tests execute. This solves the problem of setting up and tearing down complex test environments manually.
Scala developers and teams who need reliable integration testing with external services, particularly those using Docker containers for databases or other dependencies in their test pipelines.
Developers choose docker-it-scala for its seamless integration with ScalaTest and Specs2, automatic container lifecycle management, and built-in readiness checks, which reduce boilerplate and improve test reliability compared to manual Docker setup.
Docker integration testing kit with Scala
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Handles container start and stop automatically before and after test execution, as shown with DockerTestKitForAll, ensuring isolated and reproducible test environments.
Supports log line checks and HTTP response validation to confirm service availability, reducing flaky tests with configurable ready-checkers detailed in the configuration fields.
Allows defining and managing multiple containers in a single test suite, demonstrated in samples like MultiContainerTest for Elasticsearch and MongoDB.
Offers both code-based definitions and Typesafe Config integration, providing adaptability for different project needs, as outlined in the README's container definition sections.
Relies on Spotify's docker-client for Docker communication, which may have compatibility issues with newer Docker APIs or lack active maintenance, limiting future updates.
Artifacts are tied to specific Scala versions (e.g., 2.12 per the Maven badge), potentially hindering adoption in projects using newer Scala releases like 2.13 or 3.
Requires environment variable configuration (e.g., DOCKER_HOST) and dependency management, which can be cumbersome for quick setup or in constrained development environments.