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Describe how metadata is stored and accessed for internal tables in a relational database.

SQLhard0.4 min read

**Architectural Logic**: Metadata drives optimization and discovery; system catalogs are the source of truth. **Storage**: pg_catalog (PostgreSQL), information_schema (standard). Tables: pg_class (tables, indexes), pg_attribute (columns), pg_index. **Access**: `SELECT * FROM...

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Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Tredence
Key Concepts Tested
bigqueryoptimizationsnowflakesql

Why This Question Matters

This hard-level SQL question appears frequently in data engineering interviews at companies like Tredence. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (bigquery, optimization, snowflake) will help you answer variations of this question confidently.

How to Approach This

This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.

Expert Answer
71 words

Architectural Logic: Metadata drives optimization and discovery; system catalogs are the source of truth. Storage: pg_catalog (PostgreSQL), information_schema (standard). Tables: pg_class (tables, indexes), pg_attribute (columns), pg_index. Access: SELECT * FROM information_schema.tables WHERE table_schema='public'. Why It Matters: Optimizer uses statistics for plans; tools use for discovery and lineage. Scalability: Maintain statistics (ANALYZE); extended properties for custom metadata. Warehouses: Snowflake (information_schema, account_usage); BigQuery (information_schema). Best practice: Use INFORMATION_SCHEMA for portability; document custom metadata.

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