In SQL Server, viewing a schema means querying system catalog views or INFORMATION_SCHEMA objects to list tables, columns, data types, and constraints.
Developers verify column names, data types, and relationships before writing joins or migrations. Accurate schema knowledge prevents runtime errors and boosts query speed.
sys.tables, sys.columns, sys.foreign_keys, and sys.indexes offer the most detail. INFORMATION_SCHEMA.TABLES and INFORMATION_SCHEMA.COLUMNS provide ANSI-standard subsets.
Run SELECT name FROM sys.tables ORDER BY name; to return every user table regardless of schema.
Use sp_help 'dbo.Customers'; or query sys.columns WHERE object_id = OBJECT_ID('dbo.Customers'); to list column definitions, keys, and indexes.
SELECT column_name, data_type, is_nullable FROM INFORMATION_SCHEMA.COLUMNS WHERE table_name = 'Customers'; keeps output concise.
Syntax varies by object, but the pattern is: SELECT * FROM sys.catalog_view WHERE filter; or EXEC sp_help 'schema.table';. Both accept fully qualified table names.
To audit customer emails, run SELECT c.name AS column_name, t.name AS data_type, c.max_length FROM sys.columns c JOIN sys.types t ON c.user_type_id = t.user_type_id WHERE c.object_id = OBJECT_ID('dbo.Customers');.
Always qualify table names with schema (dbo.Customers) to avoid name collisions. Prefer catalog views for complete metadata and INFORMATION_SCHEMA for portability. Script findings into version control.
Not all metadata lives in INFORMATION_SCHEMA; use sys objects for computed columns and temporal tables. Another pitfall is forgetting OBJECT_ID; wrap table names in quotes and use schema prefixes.
Yes, Azure SQL supports INFORMATION_SCHEMA views, but features like memory-optimized tables may require sys views for full details.
Yes. Use SQL Server Management Studio’s “Script Table as” feature or query sys.sql_modules for stored procedure definitions.
No. sp_help remains supported, but Microsoft recommends sys catalog views for advanced metadata such as temporal history tables.