<ul data-eligibleForWebStory="true"><li>BigQuery views are powerful tools for abstracting complex queries but have specific limitations developers must be aware of.</li><li>Views and base tables must be in the same region to avoid errors.</li><li>Data from views cannot be exported directly, materializing results into a table is necessary.</li><li>Standard SQL queries cannot reference Legacy SQL views; recreate them using Standard SQL.</li><li>Query parameters cannot be used in views; apply them outside the view.</li><li>Views cannot be used in wildcard table queries, as they don't conform to BigQuery's wildcard patterns.</li><li>Maximum nesting of views is limited to 16 levels; beyond that, a 'Resources exceeded' error occurs.</li><li>Each dataset can have a maximum of 2,500 views; consider reorganizing or consolidating views if needed.</li><li>Views are recomputed at query time, impacting performance for complex logic or large tables.</li><li>Consider using Materialized Views for frequent access to complex joins or aggregations to improve performance.</li><li>Design data models with awareness of view limitations to ensure scalability and performance in BigQuery.</li></ul>

Understanding Limitations of BigQuery Views

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