Android本地SQLite无外键数据库替代ERD的文档编制方案咨询
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 Name | Data Type | Nullable? | Default Value | Notes |
|---|---|---|---|---|
user_id | INTEGER | NO | AUTOINCREMENT | Primary key; unique identifier used across app logic to reference users |
full_name | TEXT | NO | "" | User's display name, shown in profile and order confirmations |
last_login | TEXT | YES | NULL | Stores ISO 8601 timestamp; used to filter active users in admin flows |
Add extra details below the table:
- Indexes:
last_loginhas an index to speed up queries for recent user activity. - Common Queries:
Used to generate a list of users active in the past month.SELECT full_name, last_login FROM user_profiles WHERE last_login > datetime('now', '-30 days');
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:
- Read selected items from
cart_items - Insert order header into
orders - Insert individual order lines into
order_items - Update stock counts in
product_inventory
- Read selected items from
- Key Code Association: In the checkout ViewModel,
orders.order_idis used to link allorder_itemsto 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_profilesandproduct_inventorytables - v1.1: Added
phone_numbercolumn touser_profilesALTER TABLE user_profiles ADD COLUMN phone_number TEXT; - v1.2: Created
cart_itemstable 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

