Column ordering allows you to organize the sequence of columns within tables and views to match your data modeling conventions, readability preferences, or performance requirements. The AI assistant can perform the following operations:
1. Add New Columns at Specific Positions
Insert new columns into a table or view at a chosen location:
- Top — beginning of the column list
- Bottom — end of the column list
- After a specific column — positioned right after a named column
Primary Key columns always remain above non-PK columns, maintaining structural clarity.
2. Reorder Existing Columns
Move one or more columns as a block to a new position within the table or view:
- Top — move columns to the beginning
- Bottom — move columns to the end
- After a specific column — position columns after a named column
Columns moved together maintain their relative order within the group. Primary Key columns always stay in their own group above non-PK columns.
3. Organize Columns by Common Patterns
The assistant can help you apply logical ordering strategies, such as:
- By data type — grouping integers, strings, dates, and booleans together
- By purpose — keys first, descriptive attributes in the middle, metadata/audit columns at the end
- By usage frequency — most commonly queried columns near the top
- By relationship — foreign key columns near related descriptive columns
Constraints
- Primary Key columns always remain above non-PK columns — this is enforced to maintain table structure clarity
- When reordering, you specify the column names in the desired final order
Common Use Cases
- Organizing columns to match organizational naming/ordering standards
- Grouping related columns (e.g., all dimension keys together, all date columns together)
- Moving frequently accessed columns toward the top for readability in query results
- Reorganizing columns after adding new ones via templates or manual column additions