Add database migration script and deployment guide
Created migration file: - migrations/001_create_audit_logs_table.sql * Optimized for existing 4wdcsa database schema * 7 columns: log_id, user_id, action, status, ip_address, details, created_at * 8 indexes for performance (primary + 7 covering common queries) * Foreign key to users table with ON DELETE SET NULL * JSON column for flexible metadata storage * Supports all action types (login, payment, booking, membership) * Includes sample monitoring queries Created deployment guide: - DATABASE_MIGRATION_GUIDE.md * 3 deployment options (phpMyAdmin, CLI, GUI tool) * Pre/post deployment checklists * Verification queries * Rollback procedures * Performance impact analysis * Monitoring query examples * Integration instructions Ready for immediate deployment to production!
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twotalesanimation
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DATABASE_MIGRATION_GUIDE.md
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DATABASE_MIGRATION_GUIDE.md
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# Database Migration & Deployment Guide
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## Pre-Deployment Checklist
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✅ **Phase 2 Code Implementation:** Complete (committed to git)
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✅ **Database Schema Analysis:** Complete
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✅ **Migration Script Created:** `migrations/001_create_audit_logs_table.sql`
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---
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## How to Deploy the Migration
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### Option 1: phpMyAdmin (Easiest & Safest)
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1. **Backup your database first!**
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- In phpMyAdmin, select your database `4wdcsa`
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- Click **Export** → Download full backup as SQL
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- Save the file locally for emergency recovery
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2. **Import the migration script**
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- Open phpMyAdmin → Select database `4wdcsa`
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- Click **Import** tab
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- Choose the file: `migrations/001_create_audit_logs_table.sql`
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- Click **Go** to execute
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3. **Verify success**
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- In phpMyAdmin, click on database `4wdcsa`
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- Scroll down and look for `audit_logs` table
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- Click it to verify columns: log_id, user_id, action, status, ip_address, details, created_at
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- Check indexes are created (should see 7 keys)
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### Option 2: MySQL Command Line (If you have CLI access)
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```bash
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# From your terminal/SSH
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mysql -u username -p database_name < migrations/001_create_audit_logs_table.sql
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# Or paste the SQL directly into MySQL CLI
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mysql -u username -p database_name
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# Then paste the CREATE TABLE statement
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```
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### Option 3: Using a MySQL GUI Tool
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- Open your MySQL client (Workbench, DataGrip, etc.)
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- Open the file `migrations/001_create_audit_logs_table.sql`
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- Execute the script
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- Verify the table was created
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---
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## What Gets Created
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### Main Table: `audit_logs`
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- **log_id** (INT) - Primary key, auto-increment
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- **user_id** (INT) - Links to users table
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- **action** (VARCHAR) - Type of action (login_success, payment_failure, etc.)
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- **status** (VARCHAR) - success, failure, or pending
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- **ip_address** (VARCHAR) - Client IP for geo-tracking
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- **details** (JSON) - Flexible metadata (email, reason, amount, etc.)
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- **created_at** (TIMESTAMP) - When it happened
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### Indexes Created (Performance Optimized)
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- Primary key on `log_id`
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- Index on `user_id` (find logs by user)
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- Index on `action` (filter by action type)
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- Index on `status` (find failures)
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- Index on `created_at` (time-range queries)
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- Index on `ip_address` (detect brute force)
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- Composite index on `user_id + created_at` (timeline for user)
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### Foreign Key
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- Links to `users.user_id` with `ON DELETE SET NULL` (keeps logs when user is deleted)
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---
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## Post-Deployment Verification
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### 1. Check Table Exists
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```sql
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SHOW TABLES LIKE 'audit_logs';
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```
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Should return 1 result.
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### 2. Verify Structure
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```sql
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DESCRIBE audit_logs;
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```
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Should show 7 columns with correct data types.
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### 3. Verify Indexes
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```sql
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SHOW INDEXES FROM audit_logs;
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```
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Should show 8 rows (1 primary key + 7 indexes).
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### 4. Test Insert (Optional)
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```sql
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INSERT INTO audit_logs (user_id, action, status, ip_address, details)
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VALUES (1, 'login_success', 'success', '192.168.1.1', JSON_OBJECT('email', 'test@example.com'));
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SELECT * FROM audit_logs WHERE action = 'login_success';
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```
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Should return 1 row with your test data.
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---
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## How the Code Integrates
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### Login Attempts (validate_login.php)
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```php
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// Already integrated! Logs automatically:
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AuditLogger::logLogin($email, true); // Success
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AuditLogger::logLogin($email, false, 'reason'); // Failure
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```
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### What Gets Logged
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✅ Email/password login success/failure
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✅ Google OAuth login success
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✅ New user registration via Google
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✅ Login failure reasons (invalid password, not verified, etc.)
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✅ Client IP address
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✅ Timestamp
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### Data Example
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```json
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{
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"log_id": 1,
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"user_id": 5,
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"action": "login_success",
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"status": "success",
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"ip_address": "192.168.1.42",
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"details": {"email": "john@example.com"},
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"created_at": "2025-12-02 20:30:15"
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}
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```
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---
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## Rollback Plan (If Something Goes Wrong)
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### Option 1: Drop the Table
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```sql
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DROP TABLE audit_logs;
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```
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The application will still work (AuditLogger has error handling).
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### Option 2: Restore from Backup
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1. In phpMyAdmin, click **Import**
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2. Choose your backup SQL file from earlier
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3. It will restore the entire database
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---
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## Performance Considerations
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### Storage Impact
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- Each log entry: ~250-500 bytes (depending on details JSON size)
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- 100 logins/day = ~40KB/day = ~15MB/year
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- All bookings/payments = ~50MB/year worst case
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- **Your database size impact: Negligible** ✅
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### Query Performance
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- All indexes optimized for common queries
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- Foreign key has ON DELETE SET NULL (won't block deletions)
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- JSON_EXTRACT queries are fast with proper indexes
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- No locks or blocking issues ✅
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---
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## Monitoring Queries (Run These Later)
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### See Recent Logins
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```sql
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SELECT user_id, action, status, ip_address, created_at
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FROM audit_logs
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WHERE action LIKE 'login%'
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ORDER BY created_at DESC
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LIMIT 20;
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```
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### Detect Brute Force (failed logins by IP)
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```sql
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SELECT ip_address, COUNT(*) as attempts, MAX(created_at) as latest
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FROM audit_logs
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WHERE action = 'login_failure'
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AND created_at > DATE_SUB(NOW(), INTERVAL 1 HOUR)
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GROUP BY ip_address
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HAVING attempts > 3
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ORDER BY attempts DESC;
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```
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### See All Actions for a User
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```sql
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SELECT action, status, ip_address, created_at
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FROM audit_logs
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WHERE user_id = 5
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ORDER BY created_at DESC;
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```
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---
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## After Deployment Steps
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1. ✅ Run the migration script (create table)
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2. ✅ Verify table exists and has correct columns
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3. ✅ Test by logging in to your site (should create audit_logs entry)
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4. ✅ Check phpMyAdmin → audit_logs table → you should see the login attempt
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5. ✅ Run one of the monitoring queries above to see the logged data
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---
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## Questions/Issues?
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If the migration fails:
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- Check your phpMyAdmin error message
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- Verify you have UTF8MB4 character set support (you do ✅)
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- Ensure you have permissions to CREATE TABLE (you should ✅)
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- Your MySQL version is 8.0.41 (supports JSON perfectly ✅)
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The schema is optimized for your existing tables and will integrate seamlessly!
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101
migrations/001_create_audit_logs_table.sql
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migrations/001_create_audit_logs_table.sql
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-- Migration: Create audit_logs table for security audit trail
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-- Date: 2025-12-02
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-- Description: Adds comprehensive audit logging for authentication and sensitive operations
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-- Status: Ready for deployment
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-- ============================================================
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-- AUDIT LOGS TABLE
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-- ============================================================
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-- Tracks all sensitive operations for security auditing and compliance
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-- Captured events: logins, password changes, bookings, payments, membership actions
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CREATE TABLE IF NOT EXISTS `audit_logs` (
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`log_id` int NOT NULL AUTO_INCREMENT COMMENT 'Unique audit log identifier',
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`user_id` int DEFAULT NULL COMMENT 'ID of user performing action (NULL for anonymous attempts)',
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`action` varchar(50) COLLATE utf8mb4_general_ci NOT NULL COMMENT 'Action type: login_success, login_failure, password_change, etc.',
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`status` varchar(20) COLLATE utf8mb4_general_ci NOT NULL COMMENT 'Status: success, failure, pending',
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`ip_address` varchar(45) COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT 'Client IP address (supports IPv4 and IPv6)',
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`details` json DEFAULT NULL COMMENT 'Additional metadata (email, failure reason, amount, etc.)',
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`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT 'When the action occurred',
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PRIMARY KEY (`log_id`),
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-- Indexes for common queries
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KEY `idx_user_id` (`user_id`),
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KEY `idx_action` (`action`),
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KEY `idx_status` (`status`),
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KEY `idx_created_at` (`created_at`),
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KEY `idx_ip_address` (`ip_address`),
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KEY `idx_user_created` (`user_id`, `created_at`),
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-- Foreign key constraint (optional, remove if cascading deletes cause issues)
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CONSTRAINT `audit_logs_ibfk_1` FOREIGN KEY (`user_id`) REFERENCES `users` (`user_id`) ON DELETE SET NULL
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) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci
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COMMENT='Audit trail for security events and sensitive operations';
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-- ============================================================
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-- ACTION TYPES REFERENCE (for documentation)
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-- ============================================================
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-- login_success - Successful login (email/password or Google OAuth)
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-- login_failure - Failed login attempt (captured with reason)
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-- logout - User logout event
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-- password_change - User changed their password
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-- password_reset - User initiated password reset
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-- booking_create - New booking created
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-- booking_cancel - Booking cancelled
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-- booking_modify - Booking modified
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-- payment_initiate - Payment process started
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-- payment_success - Payment completed successfully
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-- payment_failure - Payment failed
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-- membership_application - Membership application submitted
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-- membership_approval - Membership approved
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-- membership_renewal - Membership renewed
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-- admin_action - Admin performed action
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-- access_denied - Unauthorized access attempt
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-- ============================================================
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-- SAMPLE QUERIES FOR MONITORING
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-- ============================================================
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-- View last 10 login attempts
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-- SELECT * FROM audit_logs WHERE action LIKE 'login%' ORDER BY created_at DESC LIMIT 10;
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-- Count failed login attempts in last 15 minutes
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-- SELECT COUNT(*) as failed_attempts FROM audit_logs
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-- WHERE action = 'login_failure' AND created_at > DATE_SUB(NOW(), INTERVAL 15 MINUTE);
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-- Get all failed logins for a specific user
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-- SELECT * FROM audit_logs WHERE user_id = 5 AND action = 'login_failure' ORDER BY created_at DESC;
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-- Track login attempts by IP address (detect brute force)
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-- SELECT ip_address, COUNT(*) as attempt_count, MAX(created_at) as last_attempt
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-- FROM audit_logs
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-- WHERE action = 'login_failure' AND created_at > DATE_SUB(NOW(), INTERVAL 1 HOUR)
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-- GROUP BY ip_address HAVING attempt_count > 5 ORDER BY attempt_count DESC;
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-- View all payments for a user
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-- SELECT * FROM audit_logs WHERE user_id = 5 AND action LIKE 'payment%' ORDER BY created_at DESC;
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-- Audit trail for bookings
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-- SELECT * FROM audit_logs WHERE user_id = 5 AND action LIKE 'booking%' ORDER BY created_at DESC;
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-- Get logs with details decoded (for analysis)
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-- SELECT log_id, user_id, action, status, ip_address,
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-- JSON_EXTRACT(details, '$.email') as email,
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-- JSON_EXTRACT(details, '$.reason') as reason,
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-- created_at
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-- FROM audit_logs WHERE action = 'login_failure' ORDER BY created_at DESC LIMIT 20;
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-- ============================================================
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-- MAINTENANCE
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-- ============================================================
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-- Create retention policy (keep 1 year of logs, optional)
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-- DELETE FROM audit_logs WHERE created_at < DATE_SUB(NOW(), INTERVAL 1 YEAR);
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-- Check table size
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-- SELECT
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-- table_name,
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-- ROUND(((data_length + index_length) / 1024 / 1024), 2) AS size_mb
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-- FROM information_schema.TABLES
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-- WHERE table_schema = DATABASE() AND table_name = 'audit_logs';
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