Create a Snowflake semantic view using CREATE SEMANTIC VIEW DDL with tables, relationships, dimensions, and metrics

domain: docs.snowflake.com · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Confirm your account has access to the Snowflake semantic views Preview feature (announced April 17, 2025) and that you are using a role with the necessary CREATE SEMANTIC VIEW privilege on the target schema
  2. Write a CREATE OR REPLACE SEMANTIC VIEW statement specifying TABLES with optional aliases, PRIMARY KEY declarations for each logical table, and RELATIONSHIPS defining foreign-key joins between logical tables
  3. Add a FACTS or DIMENSIONS clause to declare quantitative measures and categorical slicing columns; metrics support aggregate expressions using standard SQL aggregate functions
  4. Optionally mark metrics or facts as PRIVATE to prevent them from being directly queried while still allowing them to be used internally in derived metric expressions
  5. Query the semantic view using the SEMANTIC_VIEW() function in a SELECT statement, passing METRICS and DIMENSIONS arguments to retrieve governed aggregated results

Known gotchas

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