database-modeling

name	database-modeling
type	skill
description	Design relational schemas, write efficient queries, plan indexes, and implement safe migrations.
related-rules	["data_access.md","architecture.md"]
allowed-tools	Read, Write, Edit, Bash
agentic	{"generated_by":"agentic","source":"areas/software/backend/skills/database-modeling/SKILL.md","repository":"https://github.com/sawrus/agent-guides","created_by":"v0.4.0","updated_by":"v0.5.1"}

Database Modeling Skill

Expertise: PostgreSQL schema design, SQLAlchemy (async), query optimization, indexing, migrations (Alembic), safe schema changes.

Schema Design Patterns

Standard column set (all tables)

from sqlalchemy import Column, Integer, DateTime, func
from sqlalchemy.orm import DeclarativeBase

class Base(DeclarativeBase):
    pass

class TimestampMixin:
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), nullable=False
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(),
        onupdate=func.now(), nullable=False
    )

class Order(TimestampMixin, Base):
    __tablename__ = "orders"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False, index=True)
    status: Mapped[str] = mapped_column(String(20), nullable=False, default="pending")
    total_amount: Mapped[Decimal] = mapped_column(Numeric(12, 2), nullable=False)

Soft delete pattern

class SoftDeleteMixin:
    deleted_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), nullable=True)

    @property
    def is_deleted(self) -> bool:
        return self.deleted_at is not None

# Always filter in repository, never expose deleted records by default
class OrderRepository:
    async def list_active(self, session: AsyncSession):
        return await session.execute(
            select(Order).where(Order.deleted_at.is_(None))
        )

Indexing Strategy

-- Single column: high-cardinality columns used in WHERE/JOIN/ORDER BY
CREATE INDEX idx_orders_user_id ON orders(user_id);
CREATE INDEX idx_orders_status ON orders(status) WHERE deleted_at IS NULL;  -- partial index

-- Composite: query uses both columns together (order matters: equality first, then range)
CREATE INDEX idx_orders_user_created ON orders(user_id, created_at DESC);

-- Full-text search
CREATE INDEX idx_products_search ON products USING gin(to_tsvector('english', name || ' ' || description));

-- Never index: low-cardinality boolean columns, small tables (<1000 rows)

EXPLAIN ANALYZE checklist

-- Run before every new query on a table with >10k rows
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT * FROM orders WHERE user_id = 123 ORDER BY created_at DESC LIMIT 20;

-- Watch for: Seq Scan on large table → add index
--            Index Scan with high actual rows >> estimated rows → ANALYZE the table
--            Nested Loop with large inner side → consider Hash Join

Repository Pattern

from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update

class OrderRepository:
    def __init__(self, session: AsyncSession):
        self.session = session

    async def get_by_id(self, order_id: int) -> Optional[Order]:
        result = await self.session.execute(
            select(Order).where(Order.id == order_id, Order.deleted_at.is_(None))
        )
        return result.scalar_one_or_none()

    async def list_by_user(
        self, user_id: int, *, limit: int = 20, cursor_id: Optional[int] = None
    ) -> list[Order]:
        q = select(Order).where(Order.user_id == user_id, Order.deleted_at.is_(None))
        if cursor_id:
            q = q.where(Order.id < cursor_id)  # cursor-based pagination
        q = q.order_by(Order.id.desc()).limit(limit)
        result = await self.session.execute(q)
        return list(result.scalars())

    async def update_status(self, order_id: int, status: str) -> None:
        await self.session.execute(
            update(Order).where(Order.id == order_id).values(status=status)
        )
        # No commit here — caller (service layer) owns the transaction

Migration Safety (Alembic)

# Generate migration
alembic revision --autogenerate -m "add_index_orders_user_id"

# ALWAYS review generated file before applying
alembic show head

# Apply
alembic upgrade head

# Rollback one step
alembic downgrade -1

Safe vs. unsafe schema operations

Operation	Safe to deploy	Strategy
Add nullable column	✅ Non-breaking	Apply directly
Add column with default	✅ (PostgreSQL 11+)	Apply directly
Add NOT NULL column	⚠️ Breaking	Add nullable → backfill → add constraint
Add index	✅ with CONCURRENTLY	CREATE INDEX CONCURRENTLY
Rename column	❌ Breaking	Expand/contract (add new → migrate code → drop old)
Drop column	❌ Breaking	Deprecate in code → drop in next release
Change type	❌ Breaking	Add new column with new type → migrate → drop old

# Alembic: create index without locking table
def upgrade():
    op.execute("CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_orders_user_id ON orders(user_id)")

def downgrade():
    op.execute("DROP INDEX CONCURRENTLY IF EXISTS idx_orders_user_id")

N+1 Query Prevention

# ❌ N+1: loads orders, then 1 query per order to get user
orders = await session.execute(select(Order)).scalars()
for order in orders:
    print(order.user.name)  # each access fires a query

# ✅ Eager load with joinedload
from sqlalchemy.orm import joinedload

orders = await session.execute(
    select(Order)
    .options(joinedload(Order.user))  # single JOIN
    .where(Order.status == "pending")
)