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Android本地SQLite无外键数据库替代ERD的文档编制方案咨询

Alternative Database Documentation Approaches for SQLite Tables Without Foreign Keys

Great question! Since your SQLite tables are independent (no foreign keys linking them), ERDs might feel incomplete or fail to capture the real-world context of how your Android app interacts with these tables. Here are some practical, targeted documentation methods to fill that gap:

1. Table-by-Table Detailed Reference

Create a dedicated section for each table that goes beyond just column definitions. Use a Markdown table for clarity, and add context that matters for your app:

Column NameData TypeNullable?Default ValueNotes
user_idINTEGERNOAUTOINCREMENTPrimary key; unique identifier used across app logic to reference users
full_nameTEXTNO""User's display name, shown in profile and order confirmations
last_loginTEXTYESNULLStores ISO 8601 timestamp; used to filter active users in admin flows

Add extra details below the table:

  • Indexes: last_login has an index to speed up queries for recent user activity.
  • Common Queries:
    SELECT full_name, last_login FROM user_profiles WHERE last_login > datetime('now', '-30 days');
    
    Used to generate a list of users active in the past month.

2. Business Logic-to-Table Mapping

Since there are no database-level foreign keys, the relationships between tables exist in your app's code. Document these explicitly by mapping core business flows to the tables they use:

  • Checkout Flow:
    1. Read selected items from cart_items
    2. Insert order header into orders
    3. Insert individual order lines into order_items
    4. Update stock counts in product_inventory
  • Key Code Association: In the checkout ViewModel, orders.order_id is used to link all order_items to a single purchase (no foreign key, but enforced via app logic).

3. Data Flow Diagrams (DFDs)

Sketch simple, text-based or visual diagrams that show how data moves between your app's components and database tables. For example:

User submits profile edit → ViewModel validates input → Writes updated data to user_profiles → Reads fresh data from table → Updates UI with new profile info

This helps readers understand each table's role in the app's user journey, not just its structure.

4. Schema Migration History

SQLite requires manual schema migrations for version updates—documenting this is critical for maintainability:

  • v1.0: Initial schema with user_profiles and product_inventory tables
  • v1.1: Added phone_number column to user_profiles
    ALTER TABLE user_profiles ADD COLUMN phone_number TEXT;
    
  • v1.2: Created cart_items table to support shopping cart functionality

Note any edge cases, like how you handled existing data when adding new columns.

5. Sample Data Snippets

Include realistic sample data for each table to make abstract column definitions concrete:

-- Sample data for product_inventory
INSERT INTO product_inventory (product_id, name, price, stock_count)
VALUES (1, 'Wireless Headphones', 99.99, 45),
       (2, 'Phone Case', 19.99, 120);

This helps new developers or stakeholders quickly grasp what kind of data each table holds.

Combining these methods will give you a comprehensive database document that focuses on how your app actually uses the tables, rather than just their isolated structures.

内容的提问来源于stack exchange,提问作者Eric Marcelino

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最近更新时间:2026.05.11 08:39:55