schema-authoring

You define documents, fields, indexing pipelines, and rank profiles within a .sd file. This skill validates your Vespa schema structure and guides correct field definitions to ensure reliable data modeling and successful deployment.

Validating a Vespa schema involves checking field definitions, fieldsets, structs, and rank profiles against established patterns. This process applies validation checks to .sd files to catch errors and guide safe schema evolution without breaking existing deployments.

Yes, Vespa schemas support tensor definitions and rank profiles. You can configure tensor field types and complex ranking configurations within your .sd file to enable advanced relevance calculations and machine learning model inputs.

The best way to evolve a schema safely is by applying validation checks and utilizing schema inheritance patterns. This ensures field additions, struct usage, and fieldset modifications do not disrupt existing indexing pipelines or document structures.

Vespa schema validation often fails due to common pitfalls in struct usage or reference definitions. Reviewing the included reference docs for field types, patterns, and gotchas helps troubleshoot incorrect indexing pipeline configurations and structural errors.