Initial commit

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Zhongwei Li
2025-11-30 08:24:11 +08:00
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templates/d1-setup-migration.sh Executable file
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#!/bin/bash
#
# Cloudflare D1 Setup and Migration Workflow
#
# This script demonstrates the complete D1 workflow:
# 1. Create a D1 database
# 2. Configure bindings
# 3. Create and apply migrations
# 4. Query the database
#
# Usage:
# chmod +x d1-setup-migration.sh
# ./d1-setup-migration.sh my-app-database
#
set -e # Exit on error
DATABASE_NAME="${1:-my-database}"
echo "========================================="
echo "Cloudflare D1 Setup and Migration"
echo "========================================="
echo ""
# Step 1: Create D1 Database
echo "📦 Step 1: Creating D1 database '$DATABASE_NAME'..."
echo ""
npx wrangler d1 create "$DATABASE_NAME"
echo ""
echo "✅ Database created!"
echo ""
echo "📝 IMPORTANT: Copy the output above and add to your wrangler.jsonc:"
echo ""
echo ' {
"d1_databases": [
{
"binding": "DB",
"database_name": "'"$DATABASE_NAME"'",
"database_id": "<UUID_FROM_OUTPUT_ABOVE>",
"preview_database_id": "local-dev-db"
}
]
}'
echo ""
read -p "Press ENTER when you've added the binding to wrangler.jsonc..."
# Step 2: Create Migrations Directory
echo ""
echo "📁 Step 2: Setting up migrations directory..."
mkdir -p migrations
# Step 3: Create Initial Migration
echo ""
echo "🔨 Step 3: Creating initial migration..."
echo ""
npx wrangler d1 migrations create "$DATABASE_NAME" create_initial_schema
# Find the created migration file (most recent .sql file in migrations/)
MIGRATION_FILE=$(ls -t migrations/*.sql | head -n1)
echo ""
echo "✅ Migration file created: $MIGRATION_FILE"
echo ""
echo "📝 Add your schema to this file. Example:"
echo ""
echo " DROP TABLE IF EXISTS users;
CREATE TABLE IF NOT EXISTS users (
user_id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT NOT NULL UNIQUE,
username TEXT NOT NULL,
created_at INTEGER NOT NULL,
updated_at INTEGER
);
CREATE INDEX IF NOT EXISTS idx_users_email ON users(email);
PRAGMA optimize;"
echo ""
read -p "Press ENTER when you've edited the migration file..."
# Step 4: Apply Migration Locally
echo ""
echo "🔧 Step 4: Applying migration to LOCAL database..."
echo ""
npx wrangler d1 migrations apply "$DATABASE_NAME" --local
echo ""
echo "✅ Local migration applied!"
# Step 5: Verify Local Database
echo ""
echo "🔍 Step 5: Verifying local database..."
echo ""
npx wrangler d1 execute "$DATABASE_NAME" --local --command "SELECT name FROM sqlite_master WHERE type='table'"
# Step 6: Seed Local Database (Optional)
echo ""
echo "🌱 Step 6: Would you like to seed the local database with test data?"
read -p "Seed database? (y/n): " -n 1 -r
echo ""
if [[ $REPLY =~ ^[Yy]$ ]]; then
echo "Creating seed data..."
cat > seed.sql << 'EOF'
-- Seed data for testing
INSERT INTO users (email, username, created_at) VALUES
('alice@example.com', 'alice', unixepoch()),
('bob@example.com', 'bob', unixepoch()),
('charlie@example.com', 'charlie', unixepoch());
EOF
npx wrangler d1 execute "$DATABASE_NAME" --local --file=seed.sql
echo ""
echo "✅ Seed data inserted!"
echo ""
echo "🔍 Verifying data..."
npx wrangler d1 execute "$DATABASE_NAME" --local --command "SELECT * FROM users"
fi
# Step 7: Apply to Production (Optional)
echo ""
echo "🚀 Step 7: Ready to apply migration to PRODUCTION?"
echo ""
echo "⚠️ WARNING: This will modify your production database!"
read -p "Apply to production? (y/n): " -n 1 -r
echo ""
if [[ $REPLY =~ ^[Yy]$ ]]; then
echo "Applying migration to production..."
npx wrangler d1 migrations apply "$DATABASE_NAME" --remote
echo ""
echo "✅ Production migration applied!"
else
echo "Skipping production migration."
echo ""
echo "To apply later, run:"
echo " npx wrangler d1 migrations apply $DATABASE_NAME --remote"
fi
# Summary
echo ""
echo "========================================="
echo "✅ D1 Setup Complete!"
echo "========================================="
echo ""
echo "Database: $DATABASE_NAME"
echo "Local database: ✅"
echo "Migrations: ✅"
echo ""
echo "📚 Next steps:"
echo ""
echo "1. Start dev server:"
echo " npm run dev"
echo ""
echo "2. Query from your Worker:"
echo ' const user = await env.DB.prepare("SELECT * FROM users WHERE email = ?")
.bind("alice@example.com")
.first();'
echo ""
echo "3. Create more migrations as needed:"
echo " npx wrangler d1 migrations create $DATABASE_NAME <migration_name>"
echo ""
echo "4. View all tables:"
echo " npx wrangler d1 execute $DATABASE_NAME --local --command \"SELECT name FROM sqlite_master WHERE type='table'\""
echo ""
echo "========================================="

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/**
* Cloudflare D1 Worker Query Examples
*
* This file demonstrates type-safe D1 queries in a Cloudflare Worker with Hono.
*
* Topics covered:
* - Type definitions for D1 bindings
* - CRUD operations (Create, Read, Update, Delete)
* - Batch queries for performance
* - Error handling and validation
* - Pagination patterns
* - JOIN queries
* - Transaction-like behavior
*
* Usage:
* 1. Copy relevant patterns to your Worker
* 2. Update table/column names to match your schema
* 3. Add proper input validation
*/
import { Hono } from 'hono';
// ============================================
// Type Definitions
// ============================================
interface Env {
DB: D1Database;
// ... other bindings
}
type Bindings = {
DB: D1Database;
};
interface User {
user_id: number;
email: string;
username: string;
full_name: string | null;
created_at: number;
updated_at: number | null;
}
interface Post {
post_id: number;
user_id: number;
title: string;
content: string;
slug: string;
published: number;
created_at: number;
published_at: number | null;
}
interface PostWithAuthor extends Post {
author_name: string;
author_email: string;
}
// ============================================
// App Setup
// ============================================
const app = new Hono<{ Bindings: Bindings }>();
// ============================================
// CREATE Operations
// ============================================
// Create a new user
app.post('/api/users', async (c) => {
try {
const { email, username, full_name } = await c.req.json();
// Validate input
if (!email || !username) {
return c.json({ error: 'Email and username are required' }, 400);
}
// Check if email already exists
const existing = await c.env.DB.prepare(
'SELECT user_id FROM users WHERE email = ? LIMIT 1'
)
.bind(email)
.first();
if (existing) {
return c.json({ error: 'Email already registered' }, 409);
}
// Insert new user
const result = await c.env.DB.prepare(
'INSERT INTO users (email, username, full_name, created_at) VALUES (?, ?, ?, ?)'
)
.bind(email, username, full_name || null, Date.now())
.run();
const userId = result.meta.last_row_id;
// Fetch the created user
const user = await c.env.DB.prepare('SELECT * FROM users WHERE user_id = ?')
.bind(userId)
.first<User>();
return c.json({ user }, 201);
} catch (error: any) {
console.error('Error creating user:', error.message);
return c.json({ error: 'Failed to create user' }, 500);
}
});
// Bulk insert with batch()
app.post('/api/users/bulk', async (c) => {
try {
const { users } = await c.req.json();
if (!Array.isArray(users) || users.length === 0) {
return c.json({ error: 'Invalid users array' }, 400);
}
// Create batch of insert statements
const inserts = users.map(user =>
c.env.DB.prepare(
'INSERT INTO users (email, username, full_name, created_at) VALUES (?, ?, ?, ?)'
).bind(user.email, user.username, user.full_name || null, Date.now())
);
// Execute all inserts in one batch
const results = await c.env.DB.batch(inserts);
const insertedCount = results.filter(r => r.success).length;
return c.json({
message: `Inserted ${insertedCount} users`,
count: insertedCount
}, 201);
} catch (error: any) {
console.error('Error bulk inserting users:', error.message);
return c.json({ error: 'Failed to insert users' }, 500);
}
});
// ============================================
// READ Operations
// ============================================
// Get single user by ID
app.get('/api/users/:id', async (c) => {
try {
const userId = parseInt(c.req.param('id'));
const user = await c.env.DB.prepare('SELECT * FROM users WHERE user_id = ?')
.bind(userId)
.first<User>();
if (!user) {
return c.json({ error: 'User not found' }, 404);
}
return c.json({ user });
} catch (error: any) {
console.error('Error fetching user:', error.message);
return c.json({ error: 'Failed to fetch user' }, 500);
}
});
// Get user by email
app.get('/api/users/email/:email', async (c) => {
try {
const email = c.req.param('email');
const user = await c.env.DB.prepare('SELECT * FROM users WHERE email = ?')
.bind(email)
.first<User>();
if (!user) {
return c.json({ error: 'User not found' }, 404);
}
return c.json({ user });
} catch (error: any) {
console.error('Error fetching user:', error.message);
return c.json({ error: 'Failed to fetch user' }, 500);
}
});
// List users with pagination
app.get('/api/users', async (c) => {
try {
const page = parseInt(c.req.query('page') || '1');
const limit = Math.min(parseInt(c.req.query('limit') || '20'), 100); // Max 100
const offset = (page - 1) * limit;
// Use batch to get count and users in one round trip
const [countResult, usersResult] = await c.env.DB.batch([
c.env.DB.prepare('SELECT COUNT(*) as total FROM users WHERE deleted_at IS NULL'),
c.env.DB.prepare(
'SELECT * FROM users WHERE deleted_at IS NULL ORDER BY created_at DESC LIMIT ? OFFSET ?'
).bind(limit, offset)
]);
const total = (countResult.results[0] as any).total as number;
const users = usersResult.results as User[];
return c.json({
users,
pagination: {
page,
limit,
total,
pages: Math.ceil(total / limit)
}
});
} catch (error: any) {
console.error('Error listing users:', error.message);
return c.json({ error: 'Failed to list users' }, 500);
}
});
// ============================================
// UPDATE Operations
// ============================================
// Update user
app.put('/api/users/:id', async (c) => {
try {
const userId = parseInt(c.req.param('id'));
const { username, full_name, bio } = await c.req.json();
// Build dynamic update query
const updates: string[] = [];
const values: any[] = [];
if (username !== undefined) {
updates.push('username = ?');
values.push(username);
}
if (full_name !== undefined) {
updates.push('full_name = ?');
values.push(full_name);
}
if (bio !== undefined) {
updates.push('bio = ?');
values.push(bio);
}
if (updates.length === 0) {
return c.json({ error: 'No fields to update' }, 400);
}
// Add updated_at
updates.push('updated_at = ?');
values.push(Date.now());
// Add user_id for WHERE clause
values.push(userId);
const sql = `UPDATE users SET ${updates.join(', ')} WHERE user_id = ?`;
const result = await c.env.DB.prepare(sql).bind(...values).run();
if (result.meta.rows_written === 0) {
return c.json({ error: 'User not found' }, 404);
}
// Fetch updated user
const user = await c.env.DB.prepare('SELECT * FROM users WHERE user_id = ?')
.bind(userId)
.first<User>();
return c.json({ user });
} catch (error: any) {
console.error('Error updating user:', error.message);
return c.json({ error: 'Failed to update user' }, 500);
}
});
// Increment post view count (simple update)
app.post('/api/posts/:id/view', async (c) => {
try {
const postId = parseInt(c.req.param('id'));
const result = await c.env.DB.prepare(
'UPDATE posts SET view_count = view_count + 1 WHERE post_id = ?'
)
.bind(postId)
.run();
if (result.meta.rows_written === 0) {
return c.json({ error: 'Post not found' }, 404);
}
return c.json({ success: true });
} catch (error: any) {
console.error('Error incrementing view count:', error.message);
return c.json({ error: 'Failed to update view count' }, 500);
}
});
// ============================================
// DELETE Operations
// ============================================
// Soft delete user
app.delete('/api/users/:id', async (c) => {
try {
const userId = parseInt(c.req.param('id'));
const result = await c.env.DB.prepare(
'UPDATE users SET deleted_at = ? WHERE user_id = ? AND deleted_at IS NULL'
)
.bind(Date.now(), userId)
.run();
if (result.meta.rows_written === 0) {
return c.json({ error: 'User not found or already deleted' }, 404);
}
return c.json({ success: true });
} catch (error: any) {
console.error('Error deleting user:', error.message);
return c.json({ error: 'Failed to delete user' }, 500);
}
});
// Hard delete post
app.delete('/api/posts/:id/permanent', async (c) => {
try {
const postId = parseInt(c.req.param('id'));
const result = await c.env.DB.prepare('DELETE FROM posts WHERE post_id = ?')
.bind(postId)
.run();
if (result.meta.rows_written === 0) {
return c.json({ error: 'Post not found' }, 404);
}
return c.json({ success: true });
} catch (error: any) {
console.error('Error deleting post:', error.message);
return c.json({ error: 'Failed to delete post' }, 500);
}
});
// ============================================
// JOIN Queries
// ============================================
// Get posts with author information
app.get('/api/posts', async (c) => {
try {
const limit = Math.min(parseInt(c.req.query('limit') || '20'), 100);
const { results } = await c.env.DB.prepare(`
SELECT
posts.*,
users.username as author_name,
users.email as author_email
FROM posts
INNER JOIN users ON posts.user_id = users.user_id
WHERE posts.published = 1
AND users.deleted_at IS NULL
ORDER BY posts.published_at DESC
LIMIT ?
`)
.bind(limit)
.all<PostWithAuthor>();
return c.json({ posts: results });
} catch (error: any) {
console.error('Error fetching posts:', error.message);
return c.json({ error: 'Failed to fetch posts' }, 500);
}
});
// Get post with author and tags
app.get('/api/posts/:slug', async (c) => {
try {
const slug = c.req.param('slug');
// Use batch to get post+author and tags in one round trip
const [postResult, tagsResult] = await c.env.DB.batch([
// Get post with author
c.env.DB.prepare(`
SELECT
posts.*,
users.username as author_name,
users.email as author_email
FROM posts
INNER JOIN users ON posts.user_id = users.user_id
WHERE posts.slug = ?
LIMIT 1
`).bind(slug),
// Get post's tags
c.env.DB.prepare(`
SELECT tags.*
FROM tags
INNER JOIN post_tags ON tags.tag_id = post_tags.tag_id
INNER JOIN posts ON post_tags.post_id = posts.post_id
WHERE posts.slug = ?
`).bind(slug)
]);
const post = postResult.results[0] as PostWithAuthor | undefined;
if (!post) {
return c.json({ error: 'Post not found' }, 404);
}
const tags = tagsResult.results;
return c.json({ post, tags });
} catch (error: any) {
console.error('Error fetching post:', error.message);
return c.json({ error: 'Failed to fetch post' }, 500);
}
});
// ============================================
// Transaction-like Behavior with Batch
// ============================================
// Publish post (update post + record event)
app.post('/api/posts/:id/publish', async (c) => {
try {
const postId = parseInt(c.req.param('id'));
const now = Date.now();
// Execute multiple related updates in one batch
const results = await c.env.DB.batch([
// Update post status
c.env.DB.prepare(
'UPDATE posts SET published = 1, published_at = ?, updated_at = ? WHERE post_id = ?'
).bind(now, now, postId),
// Record publish event (example analytics table)
c.env.DB.prepare(
'INSERT INTO post_events (post_id, event_type, created_at) VALUES (?, ?, ?)'
).bind(postId, 'published', now)
]);
// Check if post update succeeded
if (results[0].meta.rows_written === 0) {
return c.json({ error: 'Post not found' }, 404);
}
return c.json({ success: true });
} catch (error: any) {
console.error('Error publishing post:', error.message);
return c.json({ error: 'Failed to publish post' }, 500);
}
});
// ============================================
// Advanced Patterns
// ============================================
// Search posts by keyword (simple full-text search)
app.get('/api/posts/search', async (c) => {
try {
const query = c.req.query('q') || '';
const limit = Math.min(parseInt(c.req.query('limit') || '20'), 100);
if (query.length < 2) {
return c.json({ error: 'Query must be at least 2 characters' }, 400);
}
const searchTerm = `%${query}%`;
const { results } = await c.env.DB.prepare(`
SELECT
posts.*,
users.username as author_name
FROM posts
INNER JOIN users ON posts.user_id = users.user_id
WHERE posts.published = 1
AND (posts.title LIKE ? OR posts.content LIKE ?)
ORDER BY posts.published_at DESC
LIMIT ?
`)
.bind(searchTerm, searchTerm, limit)
.all<PostWithAuthor>();
return c.json({ posts: results, query });
} catch (error: any) {
console.error('Error searching posts:', error.message);
return c.json({ error: 'Failed to search posts' }, 500);
}
});
// Get user stats (multiple aggregations in batch)
app.get('/api/users/:id/stats', async (c) => {
try {
const userId = parseInt(c.req.param('id'));
const [userResult, statsResults] = await c.env.DB.batch([
// Get user
c.env.DB.prepare('SELECT * FROM users WHERE user_id = ?').bind(userId),
// Get all stats in one query with UNION
c.env.DB.prepare(`
SELECT 'posts' as metric, COUNT(*) as count FROM posts WHERE user_id = ?
UNION ALL
SELECT 'comments', COUNT(*) FROM comments WHERE user_id = ?
UNION ALL
SELECT 'published_posts', COUNT(*) FROM posts WHERE user_id = ? AND published = 1
`).bind(userId, userId, userId)
]);
const user = userResult.results[0] as User | undefined;
if (!user) {
return c.json({ error: 'User not found' }, 404);
}
// Parse stats results
const stats: Record<string, number> = {};
for (const row of statsResults.results as any[]) {
stats[row.metric] = row.count;
}
return c.json({ user, stats });
} catch (error: any) {
console.error('Error fetching user stats:', error.message);
return c.json({ error: 'Failed to fetch user stats' }, 500);
}
});
// ============================================
// Error Handling Example with Retry
// ============================================
async function queryWithRetry<T>(
queryFn: () => Promise<T>,
maxRetries = 3
): Promise<T> {
for (let attempt = 0; attempt < maxRetries; attempt++) {
try {
return await queryFn();
} catch (error: any) {
const message = error.message;
// Check if error is retryable
const isRetryable =
message.includes('Network connection lost') ||
message.includes('storage caused object to be reset') ||
message.includes('reset because its code was updated');
if (!isRetryable || attempt === maxRetries - 1) {
throw error;
}
// Exponential backoff
const delay = Math.min(1000 * Math.pow(2, attempt), 5000);
await new Promise(resolve => setTimeout(resolve, delay));
}
}
throw new Error('Retry logic failed');
}
// Example usage with retry
app.get('/api/users/:id/with-retry', async (c) => {
try {
const userId = parseInt(c.req.param('id'));
const user = await queryWithRetry(() =>
c.env.DB.prepare('SELECT * FROM users WHERE user_id = ?')
.bind(userId)
.first<User>()
);
if (!user) {
return c.json({ error: 'User not found' }, 404);
}
return c.json({ user });
} catch (error: any) {
console.error('Error fetching user (with retry):', error.message);
return c.json({ error: 'Failed to fetch user' }, 500);
}
});
// ============================================
// Export App
// ============================================
export default app;

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-- Cloudflare D1 Schema Example
-- Production-ready database schema with best practices
--
-- This file demonstrates:
-- - Proper table creation with constraints
-- - Primary and foreign keys
-- - Indexes for performance
-- - Sample data for testing
--
-- Apply with:
-- npx wrangler d1 execute my-database --local --file=schema-example.sql
-- ============================================
-- Users Table
-- ============================================
DROP TABLE IF EXISTS users;
CREATE TABLE IF NOT EXISTS users (
user_id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT NOT NULL UNIQUE,
username TEXT NOT NULL,
full_name TEXT,
bio TEXT,
avatar_url TEXT,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
updated_at INTEGER,
deleted_at INTEGER -- Soft delete pattern
);
-- Index for email lookups (login, registration checks)
CREATE INDEX IF NOT EXISTS idx_users_email ON users(email);
-- Index for filtering out deleted users
CREATE INDEX IF NOT EXISTS idx_users_active ON users(user_id) WHERE deleted_at IS NULL;
-- ============================================
-- Posts Table
-- ============================================
DROP TABLE IF EXISTS posts;
CREATE TABLE IF NOT EXISTS posts (
post_id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER NOT NULL,
title TEXT NOT NULL,
content TEXT NOT NULL,
slug TEXT NOT NULL UNIQUE,
published INTEGER NOT NULL DEFAULT 0, -- 0 = draft, 1 = published
view_count INTEGER NOT NULL DEFAULT 0,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
updated_at INTEGER,
published_at INTEGER,
-- Foreign key constraint
FOREIGN KEY (user_id) REFERENCES users(user_id) ON DELETE CASCADE
);
-- Index for user's posts
CREATE INDEX IF NOT EXISTS idx_posts_user_id ON posts(user_id);
-- Index for published posts (most common query)
CREATE INDEX IF NOT EXISTS idx_posts_published_created ON posts(published, created_at DESC)
WHERE published = 1;
-- Index for slug lookups (e.g., /blog/my-post-slug)
CREATE INDEX IF NOT EXISTS idx_posts_slug ON posts(slug);
-- ============================================
-- Comments Table
-- ============================================
DROP TABLE IF EXISTS comments;
CREATE TABLE IF NOT EXISTS comments (
comment_id INTEGER PRIMARY KEY AUTOINCREMENT,
post_id INTEGER NOT NULL,
user_id INTEGER NOT NULL,
parent_comment_id INTEGER, -- For threaded comments (NULL = top-level)
content TEXT NOT NULL,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
updated_at INTEGER,
deleted_at INTEGER,
-- Foreign keys
FOREIGN KEY (post_id) REFERENCES posts(post_id) ON DELETE CASCADE,
FOREIGN KEY (user_id) REFERENCES users(user_id) ON DELETE CASCADE,
FOREIGN KEY (parent_comment_id) REFERENCES comments(comment_id) ON DELETE CASCADE
);
-- Index for post's comments
CREATE INDEX IF NOT EXISTS idx_comments_post_id ON comments(post_id);
-- Index for user's comments
CREATE INDEX IF NOT EXISTS idx_comments_user_id ON comments(user_id);
-- Index for threaded replies
CREATE INDEX IF NOT EXISTS idx_comments_parent ON comments(parent_comment_id)
WHERE parent_comment_id IS NOT NULL;
-- ============================================
-- Tags Table (Many-to-Many Example)
-- ============================================
DROP TABLE IF EXISTS tags;
CREATE TABLE IF NOT EXISTS tags (
tag_id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL UNIQUE,
slug TEXT NOT NULL UNIQUE,
created_at INTEGER NOT NULL DEFAULT (unixepoch())
);
-- Index for tag lookups
CREATE INDEX IF NOT EXISTS idx_tags_slug ON tags(slug);
-- ============================================
-- Post Tags Junction Table
-- ============================================
DROP TABLE IF EXISTS post_tags;
CREATE TABLE IF NOT EXISTS post_tags (
post_id INTEGER NOT NULL,
tag_id INTEGER NOT NULL,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
-- Composite primary key
PRIMARY KEY (post_id, tag_id),
-- Foreign keys
FOREIGN KEY (post_id) REFERENCES posts(post_id) ON DELETE CASCADE,
FOREIGN KEY (tag_id) REFERENCES tags(tag_id) ON DELETE CASCADE
);
-- Index for finding posts by tag
CREATE INDEX IF NOT EXISTS idx_post_tags_tag_id ON post_tags(tag_id);
-- ============================================
-- Sessions Table (Example: Auth Sessions)
-- ============================================
DROP TABLE IF EXISTS sessions;
CREATE TABLE IF NOT EXISTS sessions (
session_id TEXT PRIMARY KEY, -- UUID or random token
user_id INTEGER NOT NULL,
ip_address TEXT,
user_agent TEXT,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
expires_at INTEGER NOT NULL,
last_activity_at INTEGER NOT NULL DEFAULT (unixepoch()),
FOREIGN KEY (user_id) REFERENCES users(user_id) ON DELETE CASCADE
);
-- Index for session cleanup (delete expired sessions)
CREATE INDEX IF NOT EXISTS idx_sessions_expires ON sessions(expires_at);
-- Index for user's sessions
CREATE INDEX IF NOT EXISTS idx_sessions_user_id ON sessions(user_id);
-- ============================================
-- Analytics Table (High-Write Pattern)
-- ============================================
DROP TABLE IF EXISTS page_views;
CREATE TABLE IF NOT EXISTS page_views (
view_id INTEGER PRIMARY KEY AUTOINCREMENT,
post_id INTEGER,
user_id INTEGER, -- NULL for anonymous views
ip_address TEXT,
referrer TEXT,
user_agent TEXT,
viewed_at INTEGER NOT NULL DEFAULT (unixepoch())
);
-- Partial index: only index recent views (last 30 days)
CREATE INDEX IF NOT EXISTS idx_page_views_recent ON page_views(post_id, viewed_at)
WHERE viewed_at > unixepoch() - 2592000; -- 30 days in seconds
-- ============================================
-- Optimize Database
-- ============================================
-- Run PRAGMA optimize to collect statistics for query planner
PRAGMA optimize;
-- ============================================
-- Sample Seed Data (Optional - for testing)
-- ============================================
-- Insert test users
INSERT INTO users (email, username, full_name, bio) VALUES
('alice@example.com', 'alice', 'Alice Johnson', 'Software engineer and blogger'),
('bob@example.com', 'bob', 'Bob Smith', 'Tech enthusiast'),
('charlie@example.com', 'charlie', 'Charlie Brown', 'Writer and photographer');
-- Insert test tags
INSERT INTO tags (name, slug) VALUES
('JavaScript', 'javascript'),
('TypeScript', 'typescript'),
('Cloudflare', 'cloudflare'),
('Web Development', 'web-development'),
('Tutorial', 'tutorial');
-- Insert test posts
INSERT INTO posts (user_id, title, content, slug, published, published_at) VALUES
(1, 'Getting Started with D1', 'Learn how to use Cloudflare D1 database...', 'getting-started-with-d1', 1, unixepoch()),
(1, 'Building APIs with Hono', 'Hono is a lightweight web framework...', 'building-apis-with-hono', 1, unixepoch() - 86400),
(2, 'My First Draft', 'This is a draft post...', 'my-first-draft', 0, NULL);
-- Link posts to tags
INSERT INTO post_tags (post_id, tag_id) VALUES
(1, 3), -- Getting Started with D1 -> Cloudflare
(1, 5), -- Getting Started with D1 -> Tutorial
(2, 1), -- Building APIs with Hono -> JavaScript
(2, 3), -- Building APIs with Hono -> Cloudflare
(2, 5); -- Building APIs with Hono -> Tutorial
-- Insert test comments
INSERT INTO comments (post_id, user_id, content) VALUES
(1, 2, 'Great tutorial! Really helpful.'),
(1, 3, 'Thanks for sharing this!'),
(2, 3, 'Looking forward to more content on Hono.');
-- Insert threaded reply
INSERT INTO comments (post_id, user_id, parent_comment_id, content) VALUES
(1, 1, 1, 'Glad you found it useful!');
-- ============================================
-- Verification Queries
-- ============================================
-- Count records in each table
SELECT 'users' as table_name, COUNT(*) as count FROM users
UNION ALL
SELECT 'posts', COUNT(*) FROM posts
UNION ALL
SELECT 'comments', COUNT(*) FROM comments
UNION ALL
SELECT 'tags', COUNT(*) FROM tags
UNION ALL
SELECT 'post_tags', COUNT(*) FROM post_tags;
-- List all tables and indexes
SELECT
type,
name,
tbl_name as table_name
FROM sqlite_master
WHERE type IN ('table', 'index')
AND name NOT LIKE 'sqlite_%'
ORDER BY type, tbl_name, name;