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postgresql

Rules when working with PostgreSQL database in Gram

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SKILL.md

PostgreSQL Best Practices

Comprehensive guidelines when working with PostgreSQL database to build Gram which include rules for schema design, database migration and application logic. All rules are kept in a rules folder with names of each rule outlined below (e.g. rules/<rule-name>.md).

When to Apply

Reference these guidelines when:

  • Creating database migrations
  • Writing queries used in application code especially with SQLc
  • Updating existing database schemas
  • Creating pull requests that involve database changes

Rules

  • Code Formatting and Comments:

    • Maintain consistent code formatting using a tool like pgformatter or similar.
    • Use clear and concise comments to explain complex logic and intentions. Update comments regularly to avoid confusion.
    • Use inline comments sparingly; prefer block comments for detailed explanations.
    • Write comments in plain, easy-to-follow English.
    • Add a space after line comments (-- a comment); do not add a space for commented-out code (--raise notice).
    • Keep comments up-to-date; incorrect comments are worse than no comments.
  • Naming Conventions:

    • Use snake_case for identifiers (e.g., user_id, customer_name).
    • Use plural nouns for table names (e.g., customers, products).
    • Use consistent naming conventions for functions, procedures, and triggers.
    • Choose descriptive and meaningful names for all database objects.
  • Data Integrity and Data Types:

    • Use appropriate data types for columns to ensure data integrity (e.g., INTEGER, VARCHAR, TIMESTAMP).
    • Use constraints (e.g., NOT NULL, UNIQUE, CHECK, FOREIGN KEY) to enforce data integrity.
    • Define primary keys for all tables.
    • Use foreign keys to establish relationships between tables.
    • Utilize domains to enforce data type constraints reusable across multiple columns.
    • All foreign keys constraints must ALWAYS specify an ON DELETE SET NULL clause.
  • Indexing:

    • Create indexes on columns frequently used in WHERE clauses and JOIN conditions.
    • Avoid over-indexing, as it can slow down write operations.
    • Consider using partial indexes for specific query patterns.
    • Use appropriate index types (e.g., B-tree, Hash, GIN, GiST) based on the data and query requirements.
  • Schema evolution:

    • Use expand-contract pattern instead of removing existing columns from a schema. Introduce new columns instead when appropriate.
    • ALWAYS call out when making a backwards incompatible schema change.
    • Suggest running mise db:diff <migration-name> after making schema changes to generate a migration file. Replace <migration-name> with a clear snake-case migration id such as users-add-email-column.
    • If you need to undo a migration then run: 1. mise run db:reset 2. mise run db:migrate to re-run all migrations from the beginning.
  • mise run db:diff <name-of-migrations>: Create a database migration
  • mise run db:reset: Drop the database and re-create it. No migrations applied at this point.
  • mise run db:migrate: Run all pending database migrations. If you have just reset the database, this will run all migrations from the beginning.

Schema design rules

Multi-tenancy by project

When creating any tables, add a non-nullable column named project_id of type uuid with a foreign key constraint to the projects table. If appropriate to the nature and usage patterns of the table also include organization_id TEXT NOT NULL column.

Change tracking

All tables should have created_at and updated_at columns:

sql
create table if not exists example (
  -- ...
  created_at timestamptz not null default clock_timestamp(),
  updated_at timestamptz not null default clock_timestamp() on update clock_timestamp(),
  -- ...
);

Always soft delete

A nullable deleted_at column may be added to tables to perform soft deletes:

sql
create table if not exists example (
  -- ...
  deleted_at timestamptz,
  deleted boolean not null generated always as (deleted_at is not null) stored,
  -- ...
);

Deleting rows with DELETE FROM table is not strongly discouraged. Instead, use:

sql
UPDATE example SET deleted_at = clock_timestamp() WHERE id = ?;

Constraint naming

All constraints should be named with this format:

{tablename}_{columnname(s)}_{suffix}

Where suffix is:

  • key for a unique constraint
  • fkey for a foreign key constraint
  • idx for any other kind of index
  • check for a check constraint
  • excl for an exclusion constraint
  • seq for an sequences

Reviewing schema changes

Backwards compatibity

Ensure that all schema changes are designed for backwards compatibility.

These are examples of terrible practices to avoid:

  • Adding a non-nullable column to an existing table.
  • Removing a column from a table.
  • Changing the data type of an existing column.
  • Renaming an existing column.
  • Changing the meaning or usage of an existing column.
  • Adding unique constraints or indexes to existing columns without considering the impact on existing data and queries.

Instead, strongly consider these better alternatives:

  • Adding nullable columns to existing tables.
  • Deprecating columns by making them nullable.
  • Using expand-contract pattern for evolving schemas without causing outages.

Writing queries with SQLc

All SQLc queries live in **/queries.sql files in the codebase. This is an important convention to maintain.

When writing SQLc queries, follow these guidelines:

  • Use descriptive names for queries and parameters.
  • Write clear and efficient SQL queries that follow best practices for performance and readability.
  • Consume the corresponding database schema to understand what tables, columns, relationships and indexes exist.
  • CRITICAL: No matter the query, it MUST ALWAYS be scoped to a project_id to explicitly limit the scope of writes.
  • mise run gen:sqlc-server: generates Go code from SQLc queries

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