AGENT SKILL

database-migration-patterns

Manage database schema changes safely with migration tools, zero-downtime strategies, and rollback procedures. Covers Alembic, SQL migrations, data migrations, and testing strategies. Triggers on database migration, schema changes, or Alembic configuration requests.

License 许可
MIT
最近更新
2026-05-06
Stars
★ 14
Forks
2

01 前言 Front Matter

name
database-migration-patterns
tags
[ "database", "migrations", "alembic", "schema", "zero-downtime" ]
license
MIT
triggers
[ "user-asks-about-migrations", "context:database-schema", "context:alembic", "project-has-alembic-ini" ]
complexity
intermediate
complements
[ "python-packaging-patterns", "postgres-advanced-patterns", "fastapi-patterns" ]
description
Manage database schema changes safely with migration tools, zero-downtime strategies, and rollback procedures. Covers Alembic, SQL migrations, data migrations, and testing strategies. Triggers on database migration, schema changes, or Alembic configuration requests.
time_to_learn
30min
organ_affinity
[ "organ-iii", "organ-vi", "meta" ]
governance_phases
[ "build", "prove" ]

03 SKILL.md 正文

Database Migration Patterns

Evolve database schemas safely with versioned, reversible, tested migrations.

Alembic Setup

# Initialize
alembic init alembic

# Create migration
alembic revision --autogenerate -m "add skills table"

# Run migrations
alembic upgrade head

# Rollback one step
alembic downgrade -1

# Show current state
alembic current
alembic history

Configuration

# alembic/env.py
from app.models import Base
from app.config import settings

target_metadata = Base.metadata

def run_migrations_online():
    connectable = create_async_engine(settings.database_url)
    async with connectable.connect() as connection:
        await connection.run_sync(do_run_migrations)

def do_run_migrations(connection):
    context.configure(connection=connection, target_metadata=target_metadata)
    with context.begin_transaction():
        context.run_migrations()

Migration Structure

"""add skills table

Revision ID: abc123
Revises: def456
Create Date: 2026-03-20 10:00:00
"""
from alembic import op
import sqlalchemy as sa

revision = "abc123"
down_revision = "def456"

def upgrade():
    op.create_table(
        "skills",
        sa.Column("id", sa.String(64), primary_key=True),
        sa.Column("name", sa.String(64), nullable=False, unique=True),
        sa.Column("description", sa.Text, nullable=False),
        sa.Column("category", sa.String(32), nullable=False),
        sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.func.now()),
    )
    op.create_index("ix_skills_category", "skills", ["category"])

def downgrade():
    op.drop_index("ix_skills_category")
    op.drop_table("skills")

Zero-Downtime Migration Strategies

Adding a Column

# Safe: add nullable column first
def upgrade():
    op.add_column("skills", sa.Column("tier", sa.String(20), nullable=True))

# Later migration: backfill then add constraint
def upgrade():
    op.execute("UPDATE skills SET tier = 'community' WHERE tier IS NULL")
    op.alter_column("skills", "tier", nullable=False, server_default="community")

Renaming a Column

# Phase 1: Add new column
def upgrade():
    op.add_column("skills", sa.Column("skill_category", sa.String(32)))
    op.execute("UPDATE skills SET skill_category = category")

# Phase 2: (after app updated to use new column)
def upgrade():
    op.drop_column("skills", "category")

Removing a Column

# Phase 1: Stop writing to column (app change)
# Phase 2: Remove column
def upgrade():
    op.drop_column("skills", "deprecated_field")

Adding an Index

# Use CONCURRENTLY for zero-downtime
def upgrade():
    op.execute("CREATE INDEX CONCURRENTLY ix_skills_name ON skills (name)")

def downgrade():
    op.drop_index("ix_skills_name")

Data Migrations

"""backfill governance metadata

Revision ID: ghi789
"""
from alembic import op
import sqlalchemy as sa

def upgrade():
    # Use raw SQL for large table updates
    conn = op.get_bind()
    conn.execute(sa.text("""
        UPDATE skills
        SET governance_phases = ARRAY['build']
        WHERE governance_phases IS NULL
        AND category IN ('development', 'data')
    """))
    conn.execute(sa.text("""
        UPDATE skills
        SET governance_phases = ARRAY['prove']
        WHERE governance_phases IS NULL
        AND category IN ('security', 'documentation')
    """))

def downgrade():
    conn = op.get_bind()
    conn.execute(sa.text("UPDATE skills SET governance_phases = NULL"))

Testing Migrations

import pytest
from alembic.config import Config
from alembic import command

@pytest.fixture
def alembic_config():
    config = Config("alembic.ini")
    config.set_main_option("sqlalchemy.url", test_database_url)
    return config

def test_upgrade_downgrade(alembic_config):
    # Full upgrade
    command.upgrade(alembic_config, "head")
    # Full downgrade
    command.downgrade(alembic_config, "base")
    # Back to head
    command.upgrade(alembic_config, "head")

def test_migration_data_integrity(alembic_config, db_session):
    command.upgrade(alembic_config, "head")
    # Insert test data
    db_session.execute(sa.text("INSERT INTO skills (id, name, description, category) VALUES ('t1', 'test', 'Test skill', 'dev')"))
    db_session.commit()
    # Verify data survives next migration
    command.upgrade(alembic_config, "head")
    result = db_session.execute(sa.text("SELECT name FROM skills WHERE id = 't1'"))
    assert result.scalar() == "test"

Migration Checklist

Before Creating

  • [ ] Schema change designed for zero-downtime
  • [ ] Both upgrade and downgrade paths defined
  • [ ] Large table changes use batching/CONCURRENTLY

Before Deploying

  • [ ] Migration tested against staging database
  • [ ] Rollback tested (downgrade works)
  • [ ] Data backup taken
  • [ ] Estimated execution time for large tables
  • [ ] Application compatible with both old and new schema

After Deploying

  • [ ] Migration completed successfully
  • [ ] Application functioning correctly
  • [ ] No performance regressions
  • [ ] Cleanup migration scheduled (if multi-phase)

Anti-Patterns

  • No downgrade — Every migration must be reversible
  • Destructive changes in one step — Use multi-phase for column renames/removals
  • Mixing schema and data migrations — Separate into distinct revisions
  • Manual SQL in production — All changes through versioned migrations
  • Testing only upgrade — Test downgrade paths too
  • Large table ALTER without CONCURRENTLY — Locks the table for the duration

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