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Ride the database in JUnit tests
with Database Rider
Mikalai Alimenkou
@xpinjection
https://t.me/xpinjection_channel
https://xpinjection.com
Telegram channel
https://t.me/xpinjection_channel
Disclaimer
This talk is based on
personal experience
Universal formula of success
good tools
OUR FOCUS TODAY!
Looking for motivation?
https://www.youtube.com/watch?v=RanIHsirGFg
https://jeeconf.com/program/test-driven-spring-boot-
applications/
Some words about test data management
https://seleniumcamp.com/talk/bro-manage-test-data-like-a-pro/
Don’t forget about practice!
This story has been started a
long time ago with Unitils…
I was Unitils fan for many years…
https://www.slideshare.net/alimenkou/java-unit-testing-with-unitils
Every story has an end 
2014
Database Rider is a nice replacement
This project aims for bringing
DBUnit closer to your JUnit
tests so database testing will
feel like a breeze!
So you can ride the database
in your JUnit tests!
https://github.com/database-rider/database-rider
Why is it so good?
Open source with friendly contributors team
Minimal set of dependencies, pure JDBC
implementation
Simple, powerful and very flexible
Still wrapper around DBUnit with all it’s features
Integrations with JUnit 4/5, CDI and Cucumber
Advanced features like leak detection, constraints
management and datasets generation
Good documentation with many examples
Contribution is easy!
#1. Datasets management
Code examples on Github
https://github.com/xpinjection/test-driven-spring-boot
Basics features summary
YAML, JSON, XML, CSV and even Excel format support
Full set of data management strategies
Ability to carefully clear database before/after test
Extended DB configuration with SQL support
before/after test
Multiple datasets could be applied
Advanced features summary
DTD/XSD could be used for datasets validation
File and live templates in IDE simplify your life
Groovy and JavaScript for smart data generation
Export datasets with @ExportDataSet or
DataSetExporter to speed up datasets creation
Powerful export with SQL queries and tables filtering
Programmatic data sets creation with DataSetProvider
and DataSetBuilder
Meta-annotations for configuration reuse
#2. Data assertions
Basics features summary
Several datasets could be specified in
@ExpectedDataSet for assertion
Some columns may be ignored for datasets reuse
Regular expressions for complex assertions
Ordering by set of columns
Advanced features summary
Configurable set of Replacers to implement custom
logic (nulls, date/time shift, etc.)
Programmatic provider to generate dataset from code
Contains and equals data comparison
#3. Flexible configuration
Basics features summary
Global configuration in dbunit.yml
Local configuration at class/test level with @DBUnit
Executor scope for multiple logical databases support
EntityManagerProvider rule for JPA entity manager
provider
Merging of class and test level data sets
Externalized connection management
Configurable caching
#4. Advanced features
Advanced features summary
Transactions management
Flexible table filtering and ordering for data cleanup
Disabling constraints to simplify data management
Connection leak detection
CDI integration
Cucumber integration
WTF?!?
You told us this is
very simple library!
Summary and take aways
Database Rider simplifies your testing experience
You could use it for any kind of tests (unit, integration,
API, system)
Generate datasets where possible
Use full power of IDE to speed up datasets creation
Experiment with advanced features like leak detection
Contribute if your case is not covered
Resources and materials
https://github.com/xpinjection/test-driven-spring-boot - examples
from the talk
https://database-rider.github.io/database-rider/ - Database Rider
home page
https://database-rider.github.io/getting-started/ - getting started guide
https://github.com/database-rider/database-rider - project on Github
https://database-rider.github.io/database-
rider/1.7.3/documentation.pdf - current version of official
documentation
@xpinjection
https://xpinjection.com
https://t.me/xpinjection_channel

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