Israel Ekpo created KAFKA-9861:
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Summary: Process Simplification - Community Validation Kafka
Release Candidates
Key: KAFKA-9861
URL: https://issues.apache.org/jira/browse/KAFKA-9861
Project: Kafka
Issue Type: Improvement
Components: build, documentation, system tests
Affects Versions: 2.6.0, 2.4.2, 2.5.1
Environment: Linux, Java 8/11, Scala 2.x
Reporter: Israel Ekpo
Assignee: Israel Ekpo
Fix For: 2.6.0, 2.4.2, 2.5.1
When new KAFKA release candidates are published and there is a solicitation for
the community to get involved in testing and verifying the release candidates,
it would be great to have the test process thoroughly documented for newcomers
to participate effectively.
For new contributors, this can be very daunting and it would be great to have
this process clearly documented in a way that lowers the level of effort
necessary to get started.
The goal of this task is to create the documentation and supporting artifacts
that would make this goal a reality.
Going forward for future releases, it would be great to have the link to this
documentation included in the RC announcements so that the community
(especially end users) can help test and participate in the voting process
effectively.
These are the items that I believe should be included in this documentation
* How to set up test environment for unit and functional tests
* Java version(s) needed for the tests
* Scala version(s) needed for the tests
* Gradle version needed
* Sample script for running sanity checks and unit tests
* Sample Helm Charts for running all the basic components on a Kubernetes
* Sample Ansible Script for running all the basic components on Virtual
Machines
The first 4 items will be part of the documentation that shows how to install
these dependencies in a Linux VM. The 5th item is a script that will download
PGP keys, check signatures, validate checksums and run unit/integration tests.
The 6th item is a Helm chart with basic components necessary to validate
critical components in the ecosystem (Zookeeper, Brokers, Streams etc) within a
Kubernetes cluster. The last item is similar to the 6th item but installs these
components on virtual machines instead.
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