semantic-view-optimization

Semantic view optimization for Cortex Analyst is coordinated end-to-end through structured workflows covering setup, auditing, debugging, and validation. You describe a semantic view issue, initialize a session, choose an optimization path, and apply validated changes to dimensions, metrics, filters, and relationships.

Semantic view auditing is the process of reviewing Validated Query Requests (VQRs) and semantic model components to identify performance issues. You need it when debugging SQL generation or validating that your semantic model accurately reflects underlying data relationships.

Yes, configuring a Snowflake connection is a prerequisite. You must run the initial setup, configure the connection using uv with required tooling, and load the semantic view concepts reference before starting any optimization workflows.

Yes, validation is built into the optimization pipeline with gating checkpoints at each stage. You can validate semantic models, debug SQL generation, and apply targeted optimizations only after passing these validation checks.

Debugging SQL generation issues is handled through the debug optimization path, which identifies problems in dimensions, metrics, filters, or relationships. The workflow validates fixes before applying them to your Cortex Analyst semantic model.

Required dependencies include snowflake-connector-python, pyyaml, requests, urllib3, and sqlglot. These libraries support Snowflake connectivity, configuration parsing, API requests, and SQL parsing for semantic view optimization.