Lustre Test Plans
Test plans for upcoming Lustre releases are now available for review and comment. As an open-source product, we invite the Lustre user community to contribute to our efforts to develop and test a more robust, feature-rich Lustre.
Commenting on the Test Plans
If you want to comment on a test plan, click the Discussion tab at the top of the page and enter:
- Your name and email address
- Date of your comment
- Test plan you are commenting on (e.g., 1.8, VBR, etc.) and page number, if applicable
- Comment or suggestion. If you have a proposed test case, paste it into your comment.
The Lustre Test group will review these comments, update test plans as needed, and post updated plans to this page.
Feature Testing with the Test Plans
If you want to try out a feature in your Lustre environment, use the appropriate feature test plan to verify the functionality. We especially need help with large-scale feature testing beyond the scope of our test systems. After testing, report your results by clicking the Discussion tab at the top of the page and entering:
- Your name and email address
- Date of your report
- Feature test plan you are reporting on (e.g., Adaptive Timeouts, Quotas, etc.)
- Description of the Lustre cluster/system you tested on
- Results of your testing
Thanks for your contributions and support.
Test plans are available for upcoming Lustre releases.
Lustre 1.8 Test Plan
This is the Lustre 1.8 Test Plan. The objective is to find and resolve defects in the Lustre code during release testing cycles, with an ultimate goal of delivering production-ready Lustre code.
Lustre 2.0 Test Plan
For information about Lustre 2.0 testing, see the Lustre 2.0 Release Milestone Status page.
This section lists the feature test plans used by the Lustre QE team.
This is the Large-Scale Test Plan for Adaptive Timeouts. The goal is to test the Adaptive Timeouts feature on a large-scale system.
This is the Large-Scale Test Plan for CMD. The objective is to test the Clustered MetaData (CMD) feature at scale, and verify that performance improvements are seen with CMD, as compared to a single MDT configuration.
NOTE: CMD is designed for use only on non-production Lustre systems.
OSS Read Cache
This is the Large-Scale Test Plan for OSS Read Cache. The goal is to test OSS Read Cache on a large-scale system to be sure the feature scales, and verify that performance data, when OSS read cache is enabled, is better than data when the feature is disabled.
This is the Large-Scale Test Plan for OST Pools. The objective is to test OST Pools on a large-scale cluster to make sure the feature is scalable, and verify that file creation performance is the same (with or without OST Pools).
This is the Test Plan for Lustre Quotas. The test plan's objective is to:
- Thoroughly test the quotas feature (block and inode quotas for users and groups) for each new Lustre release (during pre-release testing)
- Focus on quotas hard limits
- Find and document problems with quotas (and add them as release blockers).
- Deliver working quotas feature code to Cray, Inc. with each new Lustre release and avoid bugs (especially regressions)
The components to be tested are:
- lustre quotas feature code
This is the Test Plan for Security Features. The test plan's objective is to find defects in the Lustre 2.0 security features and drive the security source code to a stable, production-ready state. The test plan contains:
- Complete acceptance-small (acc-sm) run that shifts among different security flavors (null, krb5i and krb5p) between tests.
- Complete I/O benchmark (IOR and mdsrate), to run against all Lustre-supported security flavors (null, plain, krb5n, krb5a, krb5i and krb5p), gather and analyze performance data.
This is the Large-Scale Test Plan for Version-Based Recovery. The test plan's objective is to verify that the VBR feature works with a large system.
This section lists regression test plans used by the Lustre QE team.
Lustre 1.8 Performance Regression Test Plan
This is the Lustre 1.8 Performance Regression Test Plan. The goal is to test each Lustre 1.8 feature for performance regression on an at-scale cluster.