Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.
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-- 1NF: Atomic values, no repeating groups
-- 2NF: No partial dependencies on composite keys
-- 3NF: No transitive dependencies
-- Users table (normalized)
CREATE TABLE users (
id SERIAL PRIMARY KEY,
email VARCHAR(255) UNIQUE NOT NULL,
created_at TIMESTAMPTZ DEFAULT NOW()
);
-- Addresses table (separate entity)
CREATE TABLE addresses (
id SERIAL PRIMARY KEY,
user_id INTEGER REFERENCES users(id) ON DELETE CASCADE,
street VARCHAR(255),
city VARCHAR(100),
country VARCHAR(100),
is_primary BOOLEAN DEFAULT false
);-- When read performance matters more than write consistency
CREATE TABLE order_summaries (
id SERIAL PRIMARY KEY,
order_id INTEGER REFERENCES orders(id),
customer_name VARCHAR(255), -- Denormalized from customers
total_amount DECIMAL(10,2),
item_count INTEGER,
last_updated TIMESTAMPTZ DEFAULT
-- B-tree (default) for equality and range queries
CREATE INDEX idx_users_email ON users(email);
-- Composite index (order matters!)
CREATE INDEX idx_orders_user_date ON orders(user_id, created_at DESC);
-- Partial index for specific conditions
CREATE INDEX idx_active_users ON users(email) WHERE deleted_at IS NULL;
-- GIN index for array/JSONB columns
-- Check index usage
SELECT
schemaname, tablename, indexname,
idx_scan, idx_tup_read, idx_tup_fetch
FROM pg_stat_user_indexes
ORDER BY idx_scan DESC;
-- Find missing indexes
SELECT
relname, seq_scan, seq_tup_read,
idx_scan, idx_tup_fetch
FROM pg_stat_user_tables
WHERE seq_scan > idx_scan
ORDER BY seq_tup_read DESC;-- Always use transactions
BEGIN;
-- Add column with default (non-blocking in PG 11+)
ALTER TABLE users ADD COLUMN status VARCHAR(20) DEFAULT 'active';
-- Create index concurrently (doesn't lock table)
CREATE INDEX CONCURRENTLY idx_users_status ON users(status);
-- Backfill data in batches
UPDATE users SET
1. Add new column (nullable)
2. Deploy code that writes to both columns
3. Backfill old data
4. Deploy code that reads from new column
5. Remove old column
-- Always use EXPLAIN ANALYZE
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT * FROM orders WHERE user_id = 123 AND status = 'pending';
-- Key metrics to watch:
-- - Seq Scan vs Index Scan
-- - Actual rows vs Estimated rows
-- - Buffers: shared hit vs read-- Use EXISTS instead of IN for large sets
SELECT * FROM users u
WHERE EXISTS (SELECT 1 FROM orders o WHERE o.user_id = u.id);
-- Pagination with keyset (cursor) instead of OFFSET
SELECT * FROM posts
WHERE created_at < '2024-01-01'
ORDER BY
-- Primary key
ALTER TABLE users ADD PRIMARY KEY (id);
-- Foreign key with cascade
ALTER TABLE orders ADD CONSTRAINT fk_orders_user
FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE;
-- Check constraint
ALTER TABLE products ADD CONSTRAINT chk_price_positive
CHECK
created_at and updated_at timestampsdeleted_at) for important data