MongoDB Backup and Recovery Strategies: Advanced Disaster Recovery and Data Protection for Mission-Critical Applications
Production database environments require robust backup and recovery strategies that can protect against data loss, system failures, and disaster scenarios while enabling rapid recovery with minimal business disruption. Traditional backup approaches often struggle with large database sizes, complex recovery procedures, and inconsistent backup scheduling, leading to extended recovery times, potential data loss, and operational complexity that can compromise business continuity during critical incidents.
MongoDB provides comprehensive backup and recovery capabilities through native backup tools, automated backup scheduling, incremental backup strategies, and point-in-time recovery features that ensure robust data protection with minimal performance impact. Unlike traditional databases that require complex backup scripting and manual recovery procedures, MongoDB integrates backup and recovery operations directly into the database with optimized backup compression, automatic consistency verification, and streamlined recovery workflows.
The Traditional Backup and Recovery Challenge
Conventional database backup approaches face significant limitations in enterprise environments:
-- Traditional PostgreSQL backup management - manual processes with limited automation capabilities
-- Basic backup tracking table with minimal functionality
CREATE TABLE backup_jobs (
backup_id SERIAL PRIMARY KEY,
backup_name VARCHAR(255) NOT NULL,
backup_type VARCHAR(100) NOT NULL, -- full, incremental, differential
database_name VARCHAR(100) NOT NULL,
-- Backup execution tracking
backup_start_time TIMESTAMP NOT NULL,
backup_end_time TIMESTAMP,
backup_status VARCHAR(50) DEFAULT 'running',
-- Basic size and performance metrics (limited visibility)
backup_size_bytes BIGINT,
backup_duration_seconds INTEGER,
backup_compression_ratio DECIMAL(5,2),
-- File location tracking (manual)
backup_file_path TEXT,
backup_storage_location VARCHAR(200),
backup_retention_days INTEGER DEFAULT 30,
-- Basic validation (very limited)
backup_checksum VARCHAR(64),
backup_verification_status VARCHAR(50),
backup_verification_time TIMESTAMP,
-- Error tracking
backup_error_message TEXT,
backup_warning_count INTEGER DEFAULT 0,
-- Metadata
created_by VARCHAR(100) DEFAULT current_user,
backup_method VARCHAR(100) DEFAULT 'pg_dump'
);
-- Simple backup scheduling table (no real automation)
CREATE TABLE backup_schedules (
schedule_id SERIAL PRIMARY KEY,
schedule_name VARCHAR(255) NOT NULL,
database_name VARCHAR(100) NOT NULL,
backup_type VARCHAR(100) NOT NULL,
-- Basic scheduling (cron-like but manual)
schedule_frequency VARCHAR(50), -- daily, weekly, monthly
schedule_time TIME,
schedule_days VARCHAR(20), -- comma-separated day numbers
-- Basic configuration
retention_days INTEGER DEFAULT 30,
backup_location VARCHAR(200),
compression_enabled BOOLEAN DEFAULT true,
-- Status tracking
schedule_enabled BOOLEAN DEFAULT true,
last_backup_time TIMESTAMP,
last_backup_status VARCHAR(50),
next_backup_time TIMESTAMP,
-- Error tracking
consecutive_failures INTEGER DEFAULT 0,
last_error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Manual backup execution function (very basic functionality)
CREATE OR REPLACE FUNCTION execute_backup(
database_name_param VARCHAR(100),
backup_type_param VARCHAR(100) DEFAULT 'full'
) RETURNS TABLE (
backup_id INTEGER,
backup_status VARCHAR(50),
backup_duration_seconds INTEGER,
backup_size_mb INTEGER,
backup_file_path TEXT,
error_message TEXT
) AS $$
DECLARE
new_backup_id INTEGER;
backup_start TIMESTAMP;
backup_end TIMESTAMP;
backup_command TEXT;
backup_filename TEXT;
backup_directory TEXT := '/backup/postgresql/';
command_result INTEGER;
backup_size BIGINT;
final_status VARCHAR(50) := 'completed';
error_msg TEXT := '';
BEGIN
backup_start := clock_timestamp();
-- Generate backup filename
backup_filename := database_name_param || '_' ||
backup_type_param || '_' ||
TO_CHAR(backup_start, 'YYYY-MM-DD_HH24-MI-SS') || '.sql';
-- Create backup job record
INSERT INTO backup_jobs (
backup_name, backup_type, database_name,
backup_start_time, backup_file_path, backup_method
)
VALUES (
backup_filename, backup_type_param, database_name_param,
backup_start, backup_directory || backup_filename, 'pg_dump'
)
RETURNING backup_jobs.backup_id INTO new_backup_id;
BEGIN
-- Execute backup command (this is a simulation - real implementation would call external command)
-- In reality: pg_dump -h localhost -U postgres -d database_name -f backup_file
-- Simulate backup process with basic validation
IF database_name_param NOT IN (SELECT datname FROM pg_database) THEN
RAISE EXCEPTION 'Database % does not exist', database_name_param;
END IF;
-- Simulate backup time based on type
CASE backup_type_param
WHEN 'full' THEN PERFORM pg_sleep(2.0); -- Simulate 2 seconds for full backup
WHEN 'incremental' THEN PERFORM pg_sleep(0.5); -- Simulate 0.5 seconds for incremental
ELSE PERFORM pg_sleep(1.0);
END CASE;
-- Simulate backup size calculation (very basic)
SELECT pg_database_size(database_name_param) INTO backup_size;
-- Basic compression simulation
backup_size := backup_size * 0.3; -- Assume 70% compression
EXCEPTION WHEN OTHERS THEN
final_status := 'failed';
error_msg := SQLERRM;
backup_size := 0;
END;
backup_end := clock_timestamp();
-- Update backup job record
UPDATE backup_jobs
SET
backup_end_time = backup_end,
backup_status = final_status,
backup_size_bytes = backup_size,
backup_duration_seconds = EXTRACT(SECONDS FROM backup_end - backup_start)::INTEGER,
backup_compression_ratio = CASE WHEN backup_size > 0 THEN 70.0 ELSE 0 END,
backup_error_message = CASE WHEN final_status = 'failed' THEN error_msg ELSE NULL END
WHERE backup_jobs.backup_id = new_backup_id;
-- Return results
RETURN QUERY SELECT
new_backup_id,
final_status,
EXTRACT(SECONDS FROM backup_end - backup_start)::INTEGER,
(backup_size / 1024 / 1024)::INTEGER,
backup_directory || backup_filename,
CASE WHEN final_status = 'failed' THEN error_msg ELSE NULL END;
END;
$$ LANGUAGE plpgsql;
-- Execute a backup (basic functionality)
SELECT * FROM execute_backup('production_db', 'full');
-- Basic backup verification function (very limited)
CREATE OR REPLACE FUNCTION verify_backup(backup_id_param INTEGER)
RETURNS TABLE (
backup_id INTEGER,
verification_status VARCHAR(50),
verification_duration_seconds INTEGER,
file_exists BOOLEAN,
file_size_mb INTEGER,
checksum_valid BOOLEAN,
error_message TEXT
) AS $$
DECLARE
backup_record RECORD;
verification_start TIMESTAMP;
verification_end TIMESTAMP;
file_size BIGINT;
verification_error TEXT := '';
verification_result VARCHAR(50) := 'valid';
BEGIN
verification_start := clock_timestamp();
-- Get backup record
SELECT * INTO backup_record
FROM backup_jobs
WHERE backup_jobs.backup_id = backup_id_param;
IF NOT FOUND THEN
RETURN QUERY SELECT
backup_id_param,
'not_found'::VARCHAR(50),
0,
false,
0,
false,
'Backup record not found'::TEXT;
RETURN;
END IF;
BEGIN
-- Simulate file verification (in reality would check actual file)
-- Check if backup was successful
IF backup_record.backup_status != 'completed' THEN
verification_result := 'invalid';
verification_error := 'Original backup failed';
END IF;
-- Simulate file size check
file_size := backup_record.backup_size_bytes;
-- Basic integrity simulation
IF file_size = 0 OR backup_record.backup_duration_seconds = 0 THEN
verification_result := 'invalid';
verification_error := 'Backup file appears to be empty or corrupted';
END IF;
-- Simulate verification time
PERFORM pg_sleep(0.1);
EXCEPTION WHEN OTHERS THEN
verification_result := 'error';
verification_error := SQLERRM;
END;
verification_end := clock_timestamp();
-- Update backup record with verification results
UPDATE backup_jobs
SET
backup_verification_status = verification_result,
backup_verification_time = verification_end
WHERE backup_jobs.backup_id = backup_id_param;
-- Return verification results
RETURN QUERY SELECT
backup_id_param,
verification_result,
EXTRACT(SECONDS FROM verification_end - verification_start)::INTEGER,
CASE WHEN file_size > 0 THEN true ELSE false END,
(file_size / 1024 / 1024)::INTEGER,
CASE WHEN verification_result = 'valid' THEN true ELSE false END,
CASE WHEN verification_result != 'valid' THEN verification_error ELSE NULL END;
END;
$$ LANGUAGE plpgsql;
-- Recovery function (very basic and manual)
CREATE OR REPLACE FUNCTION restore_backup(
backup_id_param INTEGER,
target_database_name VARCHAR(100)
) RETURNS TABLE (
restore_success BOOLEAN,
restore_duration_seconds INTEGER,
restored_size_mb INTEGER,
error_message TEXT
) AS $$
DECLARE
backup_record RECORD;
restore_start TIMESTAMP;
restore_end TIMESTAMP;
restore_error TEXT := '';
restore_result BOOLEAN := true;
BEGIN
restore_start := clock_timestamp();
-- Get backup information
SELECT * INTO backup_record
FROM backup_jobs
WHERE backup_id = backup_id_param
AND backup_status = 'completed';
IF NOT FOUND THEN
RETURN QUERY SELECT
false,
0,
0,
'Valid backup not found for restore operation'::TEXT;
RETURN;
END IF;
BEGIN
-- Simulate restore process (in reality would execute psql command)
-- psql -h localhost -U postgres -d target_database -f backup_file
-- Basic validation
IF target_database_name IS NULL OR LENGTH(target_database_name) = 0 THEN
RAISE EXCEPTION 'Target database name is required';
END IF;
-- Simulate restore time proportional to backup size
PERFORM pg_sleep(LEAST(backup_record.backup_duration_seconds * 1.5, 10.0));
EXCEPTION WHEN OTHERS THEN
restore_result := false;
restore_error := SQLERRM;
END;
restore_end := clock_timestamp();
-- Return restore results
RETURN QUERY SELECT
restore_result,
EXTRACT(SECONDS FROM restore_end - restore_start)::INTEGER,
(backup_record.backup_size_bytes / 1024 / 1024)::INTEGER,
CASE WHEN NOT restore_result THEN restore_error ELSE NULL END;
END;
$$ LANGUAGE plpgsql;
-- Basic backup monitoring and cleanup
WITH backup_status_summary AS (
SELECT
DATE_TRUNC('day', backup_start_time) as backup_date,
database_name,
backup_type,
COUNT(*) as total_backups,
COUNT(*) FILTER (WHERE backup_status = 'completed') as successful_backups,
COUNT(*) FILTER (WHERE backup_status = 'failed') as failed_backups,
SUM(backup_size_bytes) as total_backup_size_bytes,
AVG(backup_duration_seconds) as avg_backup_duration,
MIN(backup_start_time) as first_backup,
MAX(backup_start_time) as last_backup
FROM backup_jobs
WHERE backup_start_time >= CURRENT_DATE - INTERVAL '7 days'
GROUP BY DATE_TRUNC('day', backup_start_time), database_name, backup_type
)
SELECT
backup_date,
database_name,
backup_type,
total_backups,
successful_backups,
failed_backups,
-- Success rate
CASE
WHEN total_backups > 0 THEN
ROUND((successful_backups::DECIMAL / total_backups) * 100, 1)
ELSE 0
END as success_rate_percent,
-- Size and performance metrics
ROUND((total_backup_size_bytes / 1024.0 / 1024.0), 1) as total_size_mb,
ROUND(avg_backup_duration::NUMERIC, 1) as avg_duration_seconds,
-- Backup frequency analysis
EXTRACT(HOURS FROM (last_backup - first_backup))::INTEGER as backup_window_hours,
-- Health assessment
CASE
WHEN failed_backups > 0 THEN 'issues'
WHEN successful_backups = 0 THEN 'no_backups'
ELSE 'healthy'
END as backup_health,
-- Recommendations
CASE
WHEN failed_backups > total_backups * 0.2 THEN 'investigate_failures'
WHEN avg_backup_duration > 3600 THEN 'optimize_performance'
WHEN total_backup_size_bytes > 100 * 1024 * 1024 * 1024 THEN 'consider_compression'
ELSE 'monitor'
END as recommendation
FROM backup_status_summary
ORDER BY backup_date DESC, database_name, backup_type;
-- Cleanup old backups (manual process)
WITH old_backups AS (
SELECT backup_id, backup_file_path, backup_size_bytes
FROM backup_jobs
WHERE backup_start_time < CURRENT_DATE - INTERVAL '90 days'
AND backup_status = 'completed'
),
cleanup_summary AS (
DELETE FROM backup_jobs
WHERE backup_id IN (SELECT backup_id FROM old_backups)
RETURNING backup_id, backup_size_bytes
)
SELECT
COUNT(*) as backups_cleaned,
SUM(backup_size_bytes) as total_space_freed_bytes,
ROUND(SUM(backup_size_bytes) / 1024.0 / 1024.0 / 1024.0, 2) as space_freed_gb
FROM cleanup_summary;
-- Problems with traditional backup approaches:
-- 1. Manual backup execution with no automation or scheduling
-- 2. Limited backup verification and integrity checking
-- 3. No point-in-time recovery capabilities
-- 4. Basic error handling with no automatic retry mechanisms
-- 5. No incremental backup support or optimization
-- 6. Manual cleanup and retention management
-- 7. Limited monitoring and alerting capabilities
-- 8. No support for distributed backup strategies
-- 9. Complex recovery procedures requiring manual intervention
-- 10. No integration with cloud storage or disaster recovery systems
MongoDB provides comprehensive backup and recovery capabilities with automated scheduling and management:
// MongoDB Advanced Backup and Recovery - comprehensive data protection with automated disaster recovery
const { MongoClient, GridFSBucket } = require('mongodb');
const { spawn } = require('child_process');
const fs = require('fs').promises;
const path = require('path');
const { createHash } = require('crypto');
const { EventEmitter } = require('events');
// Comprehensive MongoDB Backup and Recovery Manager
class AdvancedBackupRecoveryManager extends EventEmitter {
constructor(connectionString, backupConfig = {}) {
super();
this.connectionString = connectionString;
this.client = null;
this.db = null;
// Advanced backup and recovery configuration
this.config = {
// Backup strategy configuration
enableAutomatedBackups: backupConfig.enableAutomatedBackups !== false,
enableIncrementalBackups: backupConfig.enableIncrementalBackups || false,
enablePointInTimeRecovery: backupConfig.enablePointInTimeRecovery || false,
enableCompression: backupConfig.enableCompression !== false,
// Backup scheduling
fullBackupSchedule: backupConfig.fullBackupSchedule || '0 2 * * *', // Daily at 2 AM
incrementalBackupSchedule: backupConfig.incrementalBackupSchedule || '0 */6 * * *', // Every 6 hours
// Storage configuration
backupStoragePath: backupConfig.backupStoragePath || './backups',
maxBackupSize: backupConfig.maxBackupSize || 10 * 1024 * 1024 * 1024, // 10GB
compressionLevel: backupConfig.compressionLevel || 6,
// Retention policies
dailyBackupRetention: backupConfig.dailyBackupRetention || 30, // 30 days
weeklyBackupRetention: backupConfig.weeklyBackupRetention || 12, // 12 weeks
monthlyBackupRetention: backupConfig.monthlyBackupRetention || 12, // 12 months
// Backup validation
enableBackupVerification: backupConfig.enableBackupVerification !== false,
verificationSampleSize: backupConfig.verificationSampleSize || 1000,
enableChecksumValidation: backupConfig.enableChecksumValidation !== false,
// Recovery configuration
enableParallelRecovery: backupConfig.enableParallelRecovery || false,
maxRecoveryThreads: backupConfig.maxRecoveryThreads || 4,
recoveryBatchSize: backupConfig.recoveryBatchSize || 1000,
// Monitoring and alerting
enableBackupMonitoring: backupConfig.enableBackupMonitoring !== false,
enableRecoveryTesting: backupConfig.enableRecoveryTesting || false,
alertThresholds: {
backupFailureCount: backupConfig.backupFailureThreshold || 3,
backupDurationMinutes: backupConfig.backupDurationThreshold || 120,
backupSizeVariation: backupConfig.backupSizeVariationThreshold || 50
},
// Disaster recovery
enableReplication: backupConfig.enableReplication || false,
replicationTargets: backupConfig.replicationTargets || [],
enableCloudSync: backupConfig.enableCloudSync || false,
cloudSyncConfig: backupConfig.cloudSyncConfig || {}
};
// Backup and recovery state management
this.backupJobs = new Map();
this.scheduledBackups = new Map();
this.recoveryOperations = new Map();
this.backupMetrics = {
totalBackups: 0,
successfulBackups: 0,
failedBackups: 0,
totalDataBackedUp: 0,
averageBackupDuration: 0
};
// Backup history and metadata
this.backupHistory = [];
this.recoveryHistory = [];
this.initializeBackupSystem();
}
async initializeBackupSystem() {
console.log('Initializing advanced backup and recovery system...');
try {
// Connect to MongoDB
this.client = new MongoClient(this.connectionString);
await this.client.connect();
this.db = this.client.db();
// Setup backup infrastructure
await this.setupBackupInfrastructure();
// Initialize automated backup scheduling
if (this.config.enableAutomatedBackups) {
await this.setupAutomatedBackups();
}
// Setup backup monitoring
if (this.config.enableBackupMonitoring) {
await this.setupBackupMonitoring();
}
// Initialize point-in-time recovery if enabled
if (this.config.enablePointInTimeRecovery) {
await this.setupPointInTimeRecovery();
}
console.log('Advanced backup and recovery system initialized successfully');
} catch (error) {
console.error('Error initializing backup system:', error);
throw error;
}
}
async setupBackupInfrastructure() {
console.log('Setting up backup infrastructure...');
try {
// Create backup storage directory
await fs.mkdir(this.config.backupStoragePath, { recursive: true });
// Create subdirectories for different backup types
const backupDirs = ['full', 'incremental', 'logs', 'metadata', 'recovery-points'];
for (const dir of backupDirs) {
await fs.mkdir(path.join(this.config.backupStoragePath, dir), { recursive: true });
}
// Setup backup metadata collections
const collections = {
backupJobs: this.db.collection('backup_jobs'),
backupMetadata: this.db.collection('backup_metadata'),
recoveryOperations: this.db.collection('recovery_operations'),
backupSchedules: this.db.collection('backup_schedules')
};
// Create indexes for backup operations
await collections.backupJobs.createIndex(
{ startTime: -1, status: 1 },
{ background: true }
);
await collections.backupMetadata.createIndex(
{ backupId: 1, backupType: 1, timestamp: -1 },
{ background: true }
);
await collections.recoveryOperations.createIndex(
{ recoveryId: 1, startTime: -1 },
{ background: true }
);
this.collections = collections;
} catch (error) {
console.error('Error setting up backup infrastructure:', error);
throw error;
}
}
async createFullBackup(backupOptions = {}) {
console.log('Starting full database backup...');
const backupId = this.generateBackupId('full');
const startTime = new Date();
try {
// Create backup job record
const backupJob = {
backupId: backupId,
backupType: 'full',
startTime: startTime,
status: 'running',
// Backup configuration
options: {
compression: this.config.enableCompression,
compressionLevel: this.config.compressionLevel,
includeIndexes: backupOptions.includeIndexes !== false,
includeSystemCollections: backupOptions.includeSystemCollections || false,
oplogCapture: this.config.enablePointInTimeRecovery
},
// Progress tracking
progress: {
collectionsProcessed: 0,
totalCollections: 0,
documentsProcessed: 0,
totalDocuments: 0,
bytesProcessed: 0,
estimatedTotalBytes: 0
},
// Performance metrics
performance: {
throughputMBps: 0,
compressionRatio: 0,
parallelStreams: 1
}
};
await this.collections.backupJobs.insertOne(backupJob);
this.backupJobs.set(backupId, backupJob);
// Get database statistics for progress tracking
const dbStats = await this.db.stats();
backupJob.progress.estimatedTotalBytes = dbStats.dataSize;
// Get collection list and metadata
const collections = await this.db.listCollections().toArray();
backupJob.progress.totalCollections = collections.length;
// Calculate total document count across collections
let totalDocuments = 0;
for (const collectionInfo of collections) {
if (collectionInfo.type === 'collection') {
const collection = this.db.collection(collectionInfo.name);
const count = await collection.estimatedDocumentCount();
totalDocuments += count;
}
}
backupJob.progress.totalDocuments = totalDocuments;
// Create backup using mongodump
const backupResult = await this.executeMongoDump(backupId, backupJob);
// Verify backup integrity
if (this.config.enableBackupVerification) {
await this.verifyBackupIntegrity(backupId, backupResult);
}
// Calculate backup metrics
const endTime = new Date();
const duration = endTime.getTime() - startTime.getTime();
const backupSizeBytes = backupResult.backupSize;
const compressionRatio = backupResult.originalSize > 0 ?
(backupResult.originalSize - backupSizeBytes) / backupResult.originalSize : 0;
// Update backup job with results
const completedJob = {
...backupJob,
endTime: endTime,
status: 'completed',
duration: duration,
backupSize: backupSizeBytes,
originalSize: backupResult.originalSize,
compressionRatio: compressionRatio,
backupPath: backupResult.backupPath,
checksum: backupResult.checksum,
// Final performance metrics
performance: {
throughputMBps: (backupSizeBytes / 1024 / 1024) / (duration / 1000),
compressionRatio: compressionRatio,
parallelStreams: backupResult.parallelStreams || 1
}
};
await this.collections.backupJobs.replaceOne(
{ backupId: backupId },
completedJob
);
// Update backup metrics
this.updateBackupMetrics(completedJob);
// Store backup metadata for recovery operations
await this.storeBackupMetadata(completedJob);
this.emit('backupCompleted', {
backupId: backupId,
backupType: 'full',
duration: duration,
backupSize: backupSizeBytes,
compressionRatio: compressionRatio
});
console.log(`Full backup completed: ${backupId} (${Math.round(backupSizeBytes / 1024 / 1024)} MB, ${Math.round(duration / 1000)}s)`);
return {
success: true,
backupId: backupId,
backupSize: backupSizeBytes,
duration: duration,
compressionRatio: compressionRatio,
backupPath: backupResult.backupPath
};
} catch (error) {
console.error(`Full backup failed for ${backupId}:`, error);
// Update backup job with error
await this.collections.backupJobs.updateOne(
{ backupId: backupId },
{
$set: {
status: 'failed',
endTime: new Date(),
error: {
message: error.message,
stack: error.stack,
timestamp: new Date()
}
}
}
);
this.backupMetrics.failedBackups++;
this.emit('backupFailed', {
backupId: backupId,
backupType: 'full',
error: error.message
});
return {
success: false,
backupId: backupId,
error: error.message
};
}
}
async executeMongoDump(backupId, backupJob) {
console.log(`Executing mongodump for backup: ${backupId}`);
return new Promise((resolve, reject) => {
const backupPath = path.join(
this.config.backupStoragePath,
'full',
`${backupId}.archive`
);
// Build mongodump command arguments
const mongodumpArgs = [
'--uri', this.connectionString,
'--archive=' + backupPath,
'--gzip'
];
// Add additional options based on configuration
if (backupJob.options.oplogCapture) {
mongodumpArgs.push('--oplog');
}
if (!backupJob.options.includeSystemCollections) {
mongodumpArgs.push('--excludeCollection=system.*');
}
// Execute mongodump
const mongodumpProcess = spawn('mongodump', mongodumpArgs);
let stdoutData = '';
let stderrData = '';
mongodumpProcess.stdout.on('data', (data) => {
stdoutData += data.toString();
this.parseBackupProgress(backupId, data.toString());
});
mongodumpProcess.stderr.on('data', (data) => {
stderrData += data.toString();
console.warn('mongodump stderr:', data.toString());
});
mongodumpProcess.on('close', async (code) => {
try {
if (code === 0) {
// Get backup file statistics
const stats = await fs.stat(backupPath);
const backupSize = stats.size;
// Calculate checksum for integrity verification
const checksum = await this.calculateFileChecksum(backupPath);
resolve({
backupPath: backupPath,
backupSize: backupSize,
originalSize: backupJob.progress.estimatedTotalBytes,
checksum: checksum,
stdout: stdoutData,
parallelStreams: 1
});
} else {
reject(new Error(`mongodump failed with exit code ${code}: ${stderrData}`));
}
} catch (error) {
reject(error);
}
});
mongodumpProcess.on('error', (error) => {
reject(new Error(`Failed to start mongodump: ${error.message}`));
});
});
}
parseBackupProgress(backupId, output) {
// Parse mongodump output to extract progress information
const backupJob = this.backupJobs.get(backupId);
if (!backupJob) return;
// Look for progress indicators in mongodump output
const progressMatches = output.match(/(\d+)\s+documents?\s+to\s+(\w+)\.(\w+)/g);
if (progressMatches) {
for (const match of progressMatches) {
const [, docCount, dbName, collectionName] = match.match(/(\d+)\s+documents?\s+to\s+(\w+)\.(\w+)/);
backupJob.progress.documentsProcessed += parseInt(docCount);
backupJob.progress.collectionsProcessed++;
// Emit progress update
this.emit('backupProgress', {
backupId: backupId,
progress: {
collectionsProcessed: backupJob.progress.collectionsProcessed,
totalCollections: backupJob.progress.totalCollections,
documentsProcessed: backupJob.progress.documentsProcessed,
totalDocuments: backupJob.progress.totalDocuments,
percentComplete: (backupJob.progress.documentsProcessed / backupJob.progress.totalDocuments) * 100
}
});
}
}
}
async calculateFileChecksum(filePath) {
console.log(`Calculating checksum for: ${filePath}`);
try {
const fileBuffer = await fs.readFile(filePath);
const hash = createHash('sha256');
hash.update(fileBuffer);
return hash.digest('hex');
} catch (error) {
console.error('Error calculating file checksum:', error);
throw error;
}
}
async verifyBackupIntegrity(backupId, backupResult) {
console.log(`Verifying backup integrity: ${backupId}`);
try {
const verification = {
backupId: backupId,
verificationTime: new Date(),
checksumVerified: false,
sampleVerified: false,
errors: []
};
// Verify file checksum
const currentChecksum = await this.calculateFileChecksum(backupResult.backupPath);
verification.checksumVerified = currentChecksum === backupResult.checksum;
if (!verification.checksumVerified) {
verification.errors.push('Checksum verification failed - file may be corrupted');
}
// Perform sample restore verification
if (this.config.verificationSampleSize > 0) {
const sampleResult = await this.performSampleRestoreTest(backupId, backupResult);
verification.sampleVerified = sampleResult.success;
if (!sampleResult.success) {
verification.errors.push(`Sample restore failed: ${sampleResult.error}`);
}
}
// Store verification results
await this.collections.backupMetadata.updateOne(
{ backupId: backupId },
{
$set: {
verification: verification,
lastVerificationTime: verification.verificationTime
}
},
{ upsert: true }
);
this.emit('backupVerified', {
backupId: backupId,
verification: verification
});
return verification;
} catch (error) {
console.error(`Backup verification failed for ${backupId}:`, error);
throw error;
}
}
async performSampleRestoreTest(backupId, backupResult) {
console.log(`Performing sample restore test for backup: ${backupId}`);
try {
// Create temporary database for restore test
const testDbName = `backup_test_${backupId}_${Date.now()}`;
// Execute mongorestore on sample data
const restoreResult = await this.executeSampleRestore(
backupResult.backupPath,
testDbName
);
// Verify restored data integrity
const verificationResult = await this.verifySampleData(testDbName);
// Cleanup test database
await this.cleanupTestDatabase(testDbName);
return {
success: restoreResult.success && verificationResult.success,
error: restoreResult.error || verificationResult.error,
restoredDocuments: restoreResult.documentCount,
verificationDetails: verificationResult
};
} catch (error) {
console.error(`Sample restore test failed for ${backupId}:`, error);
return {
success: false,
error: error.message
};
}
}
async createIncrementalBackup(baseBackupId, backupOptions = {}) {
console.log(`Starting incremental backup based on: ${baseBackupId}`);
const backupId = this.generateBackupId('incremental');
const startTime = new Date();
try {
// Get base backup metadata
const baseBackup = await this.collections.backupJobs.findOne({ backupId: baseBackupId });
if (!baseBackup) {
throw new Error(`Base backup not found: ${baseBackupId}`);
}
// Create incremental backup job record
const backupJob = {
backupId: backupId,
backupType: 'incremental',
baseBackupId: baseBackupId,
startTime: startTime,
status: 'running',
// Incremental backup specific configuration
options: {
...backupOptions,
fromTimestamp: baseBackup.endTime,
toTimestamp: startTime,
oplogOnly: true,
compression: this.config.enableCompression
},
progress: {
oplogEntriesProcessed: 0,
totalOplogEntries: 0,
bytesProcessed: 0
}
};
await this.collections.backupJobs.insertOne(backupJob);
this.backupJobs.set(backupId, backupJob);
// Execute incremental backup using oplog
const backupResult = await this.executeOplogBackup(backupId, backupJob);
// Update backup job with results
const endTime = new Date();
const duration = endTime.getTime() - startTime.getTime();
const completedJob = {
...backupJob,
endTime: endTime,
status: 'completed',
duration: duration,
backupSize: backupResult.backupSize,
oplogEntries: backupResult.oplogEntries,
backupPath: backupResult.backupPath,
checksum: backupResult.checksum
};
await this.collections.backupJobs.replaceOne(
{ backupId: backupId },
completedJob
);
this.updateBackupMetrics(completedJob);
await this.storeBackupMetadata(completedJob);
this.emit('backupCompleted', {
backupId: backupId,
backupType: 'incremental',
baseBackupId: baseBackupId,
duration: duration,
backupSize: backupResult.backupSize,
oplogEntries: backupResult.oplogEntries
});
console.log(`Incremental backup completed: ${backupId}`);
return {
success: true,
backupId: backupId,
baseBackupId: baseBackupId,
backupSize: backupResult.backupSize,
duration: duration,
oplogEntries: backupResult.oplogEntries
};
} catch (error) {
console.error(`Incremental backup failed for ${backupId}:`, error);
await this.collections.backupJobs.updateOne(
{ backupId: backupId },
{
$set: {
status: 'failed',
endTime: new Date(),
error: {
message: error.message,
stack: error.stack,
timestamp: new Date()
}
}
}
);
return {
success: false,
backupId: backupId,
error: error.message
};
}
}
async restoreFromBackup(backupId, restoreOptions = {}) {
console.log(`Starting database restore from backup: ${backupId}`);
const recoveryId = this.generateRecoveryId();
const startTime = new Date();
try {
// Get backup metadata
const backupJob = await this.collections.backupJobs.findOne({ backupId: backupId });
if (!backupJob || backupJob.status !== 'completed') {
throw new Error(`Valid backup not found: ${backupId}`);
}
// Create recovery operation record
const recoveryOperation = {
recoveryId: recoveryId,
backupId: backupId,
backupType: backupJob.backupType,
startTime: startTime,
status: 'running',
// Recovery configuration
options: {
targetDatabase: restoreOptions.targetDatabase || this.db.databaseName,
dropBeforeRestore: restoreOptions.dropBeforeRestore || false,
restoreIndexes: restoreOptions.restoreIndexes !== false,
parallelRecovery: this.config.enableParallelRecovery,
batchSize: this.config.recoveryBatchSize
},
progress: {
collectionsRestored: 0,
totalCollections: 0,
documentsRestored: 0,
totalDocuments: 0,
bytesRestored: 0
}
};
await this.collections.recoveryOperations.insertOne(recoveryOperation);
this.recoveryOperations.set(recoveryId, recoveryOperation);
// Execute restore process
const restoreResult = await this.executeRestore(recoveryId, backupJob, recoveryOperation);
// Verify restore integrity
if (this.config.enableBackupVerification) {
await this.verifyRestoreIntegrity(recoveryId, restoreResult);
}
// Update recovery operation with results
const endTime = new Date();
const duration = endTime.getTime() - startTime.getTime();
const completedRecovery = {
...recoveryOperation,
endTime: endTime,
status: 'completed',
duration: duration,
restoredSize: restoreResult.restoredSize,
documentsRestored: restoreResult.documentsRestored,
collectionsRestored: restoreResult.collectionsRestored
};
await this.collections.recoveryOperations.replaceOne(
{ recoveryId: recoveryId },
completedRecovery
);
this.recoveryHistory.push(completedRecovery);
this.emit('restoreCompleted', {
recoveryId: recoveryId,
backupId: backupId,
duration: duration,
restoredSize: restoreResult.restoredSize,
documentsRestored: restoreResult.documentsRestored
});
console.log(`Database restore completed: ${recoveryId}`);
return {
success: true,
recoveryId: recoveryId,
backupId: backupId,
duration: duration,
restoredSize: restoreResult.restoredSize,
documentsRestored: restoreResult.documentsRestored,
collectionsRestored: restoreResult.collectionsRestored
};
} catch (error) {
console.error(`Database restore failed for ${recoveryId}:`, error);
await this.collections.recoveryOperations.updateOne(
{ recoveryId: recoveryId },
{
$set: {
status: 'failed',
endTime: new Date(),
error: {
message: error.message,
stack: error.stack,
timestamp: new Date()
}
}
}
);
return {
success: false,
recoveryId: recoveryId,
backupId: backupId,
error: error.message
};
}
}
async getBackupStatus(backupId = null) {
console.log(`Getting backup status${backupId ? ' for: ' + backupId : ' (all backups)'}`);
try {
let query = {};
if (backupId) {
query.backupId = backupId;
}
const backups = await this.collections.backupJobs
.find(query)
.sort({ startTime: -1 })
.limit(backupId ? 1 : 50)
.toArray();
const backupStatuses = backups.map(backup => ({
backupId: backup.backupId,
backupType: backup.backupType,
status: backup.status,
startTime: backup.startTime,
endTime: backup.endTime,
duration: backup.duration,
backupSize: backup.backupSize,
compressionRatio: backup.compressionRatio,
documentsProcessed: backup.progress?.documentsProcessed || 0,
collectionsProcessed: backup.progress?.collectionsProcessed || 0,
error: backup.error?.message || null,
// Additional metadata
baseBackupId: backup.baseBackupId || null,
checksum: backup.checksum || null,
backupPath: backup.backupPath || null,
// Performance metrics
throughputMBps: backup.performance?.throughputMBps || 0,
// Health indicators
healthStatus: this.assessBackupHealth(backup),
lastVerificationTime: backup.verification?.verificationTime || null,
verificationStatus: backup.verification?.checksumVerified ? 'verified' : 'pending'
}));
return {
success: true,
backups: backupStatuses,
totalBackups: backups.length,
// System-wide metrics
systemMetrics: {
totalBackups: this.backupMetrics.totalBackups,
successfulBackups: this.backupMetrics.successfulBackups,
failedBackups: this.backupMetrics.failedBackups,
averageBackupDuration: this.backupMetrics.averageBackupDuration,
totalDataBackedUp: this.backupMetrics.totalDataBackedUp
}
};
} catch (error) {
console.error('Error getting backup status:', error);
return {
success: false,
error: error.message
};
}
}
assessBackupHealth(backup) {
if (backup.status === 'failed') return 'unhealthy';
if (backup.status === 'running') return 'in_progress';
if (backup.status !== 'completed') return 'unknown';
// Check verification status
if (backup.verification && !backup.verification.checksumVerified) {
return 'verification_failed';
}
// Check backup age
const ageHours = (Date.now() - backup.startTime.getTime()) / (1000 * 60 * 60);
if (ageHours > 24 * 7) return 'stale'; // Older than 1 week
return 'healthy';
}
updateBackupMetrics(backupJob) {
this.backupMetrics.totalBackups++;
if (backupJob.status === 'completed') {
this.backupMetrics.successfulBackups++;
this.backupMetrics.totalDataBackedUp += backupJob.backupSize || 0;
// Update average duration
const currentAvg = this.backupMetrics.averageBackupDuration;
const totalSuccessful = this.backupMetrics.successfulBackups;
this.backupMetrics.averageBackupDuration =
((currentAvg * (totalSuccessful - 1)) + (backupJob.duration || 0)) / totalSuccessful;
} else if (backupJob.status === 'failed') {
this.backupMetrics.failedBackups++;
}
}
async storeBackupMetadata(backupJob) {
const metadata = {
backupId: backupJob.backupId,
backupType: backupJob.backupType,
timestamp: backupJob.startTime,
backupSize: backupJob.backupSize,
backupPath: backupJob.backupPath,
checksum: backupJob.checksum,
compressionRatio: backupJob.compressionRatio,
baseBackupId: backupJob.baseBackupId || null,
// Retention information
retentionPolicy: this.determineRetentionPolicy(backupJob),
expirationDate: this.calculateExpirationDate(backupJob),
// Recovery information
recoveryMetadata: {
documentsCount: backupJob.progress?.documentsProcessed || 0,
collectionsCount: backupJob.progress?.collectionsProcessed || 0,
indexesIncluded: backupJob.options?.includeIndexes !== false,
oplogIncluded: backupJob.options?.oplogCapture === true
}
};
await this.collections.backupMetadata.replaceOne(
{ backupId: backupJob.backupId },
metadata,
{ upsert: true }
);
}
determineRetentionPolicy(backupJob) {
const dayOfWeek = backupJob.startTime.getDay();
const dayOfMonth = backupJob.startTime.getDate();
if (dayOfMonth === 1) return 'monthly';
if (dayOfWeek === 0) return 'weekly'; // Sunday
return 'daily';
}
calculateExpirationDate(backupJob) {
const retentionPolicy = this.determineRetentionPolicy(backupJob);
const startTime = backupJob.startTime;
switch (retentionPolicy) {
case 'monthly':
return new Date(startTime.getTime() + (this.config.monthlyBackupRetention * 30 * 24 * 60 * 60 * 1000));
case 'weekly':
return new Date(startTime.getTime() + (this.config.weeklyBackupRetention * 7 * 24 * 60 * 60 * 1000));
default:
return new Date(startTime.getTime() + (this.config.dailyBackupRetention * 24 * 60 * 60 * 1000));
}
}
generateBackupId(type) {
const timestamp = new Date().toISOString().replace(/[:.]/g, '-');
return `backup_${type}_${timestamp}_${Math.random().toString(36).substr(2, 9)}`;
}
generateRecoveryId() {
const timestamp = new Date().toISOString().replace(/[:.]/g, '-');
return `recovery_${timestamp}_${Math.random().toString(36).substr(2, 9)}`;
}
async shutdown() {
console.log('Shutting down backup and recovery manager...');
try {
// Stop all scheduled backups
for (const [scheduleId, schedule] of this.scheduledBackups.entries()) {
clearInterval(schedule.interval);
}
// Wait for active backup jobs to complete
for (const [backupId, backupJob] of this.backupJobs.entries()) {
if (backupJob.status === 'running') {
console.log(`Waiting for backup to complete: ${backupId}`);
// In a real implementation, we would wait for or gracefully cancel the backup
}
}
// Close MongoDB connection
if (this.client) {
await this.client.close();
}
console.log('Backup and recovery manager shutdown complete');
} catch (error) {
console.error('Error during shutdown:', error);
}
}
// Additional methods would include implementations for:
// - setupAutomatedBackups()
// - setupBackupMonitoring()
// - setupPointInTimeRecovery()
// - executeOplogBackup()
// - executeRestore()
// - executeSampleRestore()
// - verifySampleData()
// - cleanupTestDatabase()
// - verifyRestoreIntegrity()
}
// Benefits of MongoDB Advanced Backup and Recovery:
// - Automated backup scheduling with flexible retention policies
// - Comprehensive backup verification and integrity checking
// - Point-in-time recovery capabilities with oplog integration
// - Incremental backup support for efficient storage utilization
// - Advanced compression and optimization for large databases
// - Parallel backup and recovery operations for improved performance
// - Comprehensive monitoring and alerting for backup operations
// - Disaster recovery capabilities with replication and cloud sync
// - SQL-compatible backup management through QueryLeaf integration
// - Production-ready backup automation with minimal configuration
module.exports = {
AdvancedBackupRecoveryManager
};
Understanding MongoDB Backup and Recovery Architecture
Advanced Backup Strategy Design and Implementation Patterns
Implement comprehensive backup and recovery workflows for enterprise MongoDB deployments:
// Enterprise-grade MongoDB backup and recovery with advanced disaster recovery capabilities
class EnterpriseBackupStrategy extends AdvancedBackupRecoveryManager {
constructor(connectionString, enterpriseConfig) {
super(connectionString, enterpriseConfig);
this.enterpriseConfig = {
...enterpriseConfig,
enableGeographicReplication: true,
enableComplianceAuditing: true,
enableAutomatedTesting: true,
enableDisasterRecoveryProcedures: true,
enableCapacityPlanning: true
};
this.setupEnterpriseBackupStrategy();
this.initializeDisasterRecoveryProcedures();
this.setupComplianceAuditing();
}
async implementAdvancedBackupStrategy() {
console.log('Implementing enterprise backup strategy...');
const backupStrategy = {
// Multi-tier backup strategy
backupTiers: {
primaryBackups: {
frequency: 'daily',
retentionDays: 30,
compressionLevel: 9,
verificationLevel: 'full'
},
secondaryBackups: {
frequency: 'hourly',
retentionDays: 7,
compressionLevel: 6,
verificationLevel: 'checksum'
},
archivalBackups: {
frequency: 'monthly',
retentionMonths: 84, // 7 years for compliance
compressionLevel: 9,
verificationLevel: 'full'
}
},
// Disaster recovery configuration
disasterRecovery: {
geographicReplication: true,
crossRegionBackups: true,
automatedFailoverTesting: true,
recoveryTimeObjective: 4 * 60 * 60 * 1000, // 4 hours
recoveryPointObjective: 15 * 60 * 1000 // 15 minutes
},
// Performance optimization
performanceOptimization: {
parallelBackupStreams: 8,
networkOptimization: true,
storageOptimization: true,
resourceThrottling: true
}
};
return await this.deployEnterpriseStrategy(backupStrategy);
}
async setupComplianceAuditing() {
console.log('Setting up compliance auditing for backup operations...');
const auditingConfig = {
// Regulatory compliance
regulations: ['SOX', 'GDPR', 'HIPAA', 'PCI-DSS'],
auditTrailRetention: 7 * 365, // 7 years
encryptionStandards: ['AES-256', 'RSA-2048'],
accessControlAuditing: true,
// Data governance
dataClassification: {
sensitiveDataHandling: true,
dataRetentionPolicies: true,
dataLineageTracking: true,
privacyCompliance: true
}
};
return await this.deployComplianceFramework(auditingConfig);
}
}
SQL-Style Backup and Recovery with QueryLeaf
QueryLeaf provides familiar SQL syntax for MongoDB backup and recovery operations:
-- QueryLeaf advanced backup and recovery with SQL-familiar syntax for MongoDB
-- Configure comprehensive backup strategy
CONFIGURE BACKUP_STRATEGY
SET strategy_name = 'enterprise_backup',
backup_types = ['full', 'incremental', 'differential'],
-- Full backup configuration
full_backup_schedule = '0 2 * * 0', -- Weekly on Sunday at 2 AM
full_backup_retention_days = 90,
full_backup_compression_level = 9,
-- Incremental backup configuration
incremental_backup_schedule = '0 */6 * * *', -- Every 6 hours
incremental_backup_retention_days = 14,
incremental_backup_compression_level = 6,
-- Point-in-time recovery
enable_point_in_time_recovery = true,
oplog_retention_hours = 168, -- 7 days
recovery_point_objective_minutes = 15,
recovery_time_objective_hours = 4,
-- Storage and performance
backup_storage_path = '/backup/mongodb',
enable_compression = true,
enable_encryption = true,
parallel_backup_streams = 8,
max_backup_bandwidth_mbps = 1000,
-- Verification and validation
enable_backup_verification = true,
verification_sample_size = 10000,
enable_checksum_validation = true,
enable_restore_testing = true,
-- Disaster recovery
enable_geographic_replication = true,
cross_region_backup_locations = ['us-east-1', 'eu-west-1'],
enable_automated_failover_testing = true,
-- Monitoring and alerting
enable_backup_monitoring = true,
alert_on_backup_failure = true,
alert_on_backup_delay_minutes = 60,
alert_on_verification_failure = true;
-- Execute comprehensive backup with monitoring
WITH backup_execution AS (
SELECT
backup_id,
backup_type,
backup_start_time,
backup_end_time,
backup_status,
backup_size_bytes,
compression_ratio,
-- Performance metrics
EXTRACT(SECONDS FROM (backup_end_time - backup_start_time)) as backup_duration_seconds,
CASE
WHEN EXTRACT(SECONDS FROM (backup_end_time - backup_start_time)) > 0 THEN
(backup_size_bytes / 1024.0 / 1024.0) / EXTRACT(SECONDS FROM (backup_end_time - backup_start_time))
ELSE 0
END as throughput_mbps,
-- Progress tracking
collections_processed,
total_collections,
documents_processed,
total_documents,
CASE
WHEN total_documents > 0 THEN
(documents_processed * 100.0) / total_documents
ELSE 0
END as completion_percentage,
-- Quality metrics
backup_checksum,
verification_status,
verification_timestamp,
-- Storage efficiency
original_size_bytes,
CASE
WHEN original_size_bytes > 0 THEN
((original_size_bytes - backup_size_bytes) * 100.0) / original_size_bytes
ELSE 0
END as compression_percentage,
-- Error tracking
error_message,
warning_count,
retry_count
FROM BACKUP_JOBS('full', 'production_db')
WHERE backup_start_time >= CURRENT_TIMESTAMP - INTERVAL '24 hours'
),
performance_analysis AS (
SELECT
backup_type,
COUNT(*) as total_backups,
COUNT(*) FILTER (WHERE backup_status = 'completed') as successful_backups,
COUNT(*) FILTER (WHERE backup_status = 'failed') as failed_backups,
COUNT(*) FILTER (WHERE backup_status = 'running') as in_progress_backups,
-- Performance statistics
AVG(backup_duration_seconds) as avg_duration_seconds,
PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY backup_duration_seconds) as p95_duration_seconds,
AVG(throughput_mbps) as avg_throughput_mbps,
MAX(throughput_mbps) as max_throughput_mbps,
-- Size and compression analysis
SUM(backup_size_bytes) as total_backup_size_bytes,
AVG(compression_percentage) as avg_compression_percentage,
-- Quality metrics
COUNT(*) FILTER (WHERE verification_status = 'verified') as verified_backups,
COUNT(*) FILTER (WHERE error_message IS NOT NULL) as backups_with_errors,
AVG(warning_count) as avg_warnings_per_backup,
-- Success rate calculations
CASE
WHEN COUNT(*) > 0 THEN
(COUNT(*) FILTER (WHERE backup_status = 'completed') * 100.0) / COUNT(*)
ELSE 0
END as success_rate_percentage,
-- Recent trends
COUNT(*) FILTER (
WHERE backup_start_time >= CURRENT_TIMESTAMP - INTERVAL '7 days'
AND backup_status = 'completed'
) as successful_backups_last_week
FROM backup_execution
GROUP BY backup_type
),
storage_analysis AS (
SELECT
DATE_TRUNC('day', backup_start_time) as backup_date,
SUM(backup_size_bytes) as daily_backup_size_bytes,
COUNT(*) as daily_backup_count,
AVG(compression_ratio) as avg_daily_compression_ratio,
-- Growth analysis
LAG(SUM(backup_size_bytes)) OVER (
ORDER BY DATE_TRUNC('day', backup_start_time)
) as prev_day_backup_size,
-- Storage efficiency
SUM(original_size_bytes - backup_size_bytes) as daily_space_saved_bytes,
-- Quality indicators
COUNT(*) FILTER (WHERE verification_status = 'verified') as verified_backups_per_day,
COUNT(*) FILTER (WHERE backup_status = 'failed') as failed_backups_per_day
FROM backup_execution
WHERE backup_start_time >= CURRENT_DATE - INTERVAL '30 days'
GROUP BY DATE_TRUNC('day', backup_start_time)
)
SELECT
pa.backup_type,
pa.total_backups,
pa.successful_backups,
pa.failed_backups,
pa.in_progress_backups,
-- Performance summary
ROUND(pa.avg_duration_seconds, 1) as avg_backup_time_seconds,
ROUND(pa.p95_duration_seconds, 1) as p95_backup_time_seconds,
ROUND(pa.avg_throughput_mbps, 2) as avg_throughput_mbps,
ROUND(pa.max_throughput_mbps, 2) as max_throughput_mbps,
-- Storage summary
ROUND(pa.total_backup_size_bytes / 1024.0 / 1024.0 / 1024.0, 2) as total_backup_size_gb,
ROUND(pa.avg_compression_percentage, 1) as avg_compression_percent,
-- Quality assessment
pa.verified_backups,
ROUND((pa.verified_backups * 100.0) / NULLIF(pa.successful_backups, 0), 1) as verification_rate_percent,
pa.success_rate_percentage,
-- Health indicators
CASE
WHEN pa.success_rate_percentage < 95 THEN 'critical'
WHEN pa.success_rate_percentage < 98 THEN 'warning'
WHEN pa.avg_duration_seconds > 7200 THEN 'warning' -- 2 hours
ELSE 'healthy'
END as backup_health_status,
-- Operational recommendations
CASE
WHEN pa.failed_backups > pa.total_backups * 0.05 THEN 'investigate_failures'
WHEN pa.avg_duration_seconds > 3600 THEN 'optimize_performance'
WHEN pa.avg_compression_percentage < 50 THEN 'review_compression_settings'
WHEN pa.verified_backups < pa.successful_backups * 0.9 THEN 'improve_verification_coverage'
ELSE 'monitor_continued'
END as recommendation,
-- Recent activity
pa.successful_backups_last_week,
CASE
WHEN pa.successful_backups_last_week < 7 AND pa.backup_type = 'full' THEN 'backup_frequency_low'
WHEN pa.successful_backups_last_week < 28 AND pa.backup_type = 'incremental' THEN 'backup_frequency_low'
ELSE 'backup_frequency_adequate'
END as frequency_assessment,
-- Storage trends from storage_analysis
(SELECT
ROUND(AVG(sa.daily_backup_size_bytes) / 1024.0 / 1024.0, 1)
FROM storage_analysis sa
WHERE sa.backup_date >= CURRENT_DATE - INTERVAL '7 days'
) as avg_daily_backup_size_mb,
(SELECT
ROUND(SUM(sa.daily_space_saved_bytes) / 1024.0 / 1024.0 / 1024.0, 2)
FROM storage_analysis sa
WHERE sa.backup_date >= CURRENT_DATE - INTERVAL '30 days'
) as total_space_saved_last_month_gb
FROM performance_analysis pa
ORDER BY pa.backup_type;
-- Point-in-time recovery analysis and recommendations
WITH recovery_scenarios AS (
SELECT
recovery_id,
backup_id,
recovery_type,
target_timestamp,
recovery_start_time,
recovery_end_time,
recovery_status,
-- Recovery performance
EXTRACT(SECONDS FROM (recovery_end_time - recovery_start_time)) as recovery_duration_seconds,
documents_restored,
collections_restored,
restored_data_size_bytes,
-- Recovery quality
data_consistency_verified,
index_rebuild_required,
post_recovery_validation_status,
-- Business impact
downtime_seconds,
affected_applications,
recovery_point_achieved,
recovery_time_objective_met,
-- Error tracking
recovery_errors,
manual_intervention_required
FROM RECOVERY_OPERATIONS
WHERE recovery_start_time >= CURRENT_TIMESTAMP - INTERVAL '90 days'
),
recovery_performance AS (
SELECT
recovery_type,
COUNT(*) as total_recoveries,
COUNT(*) FILTER (WHERE recovery_status = 'completed') as successful_recoveries,
COUNT(*) FILTER (WHERE recovery_status = 'failed') as failed_recoveries,
-- Performance metrics
AVG(recovery_duration_seconds) as avg_recovery_time_seconds,
PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY recovery_duration_seconds) as p95_recovery_time_seconds,
AVG(downtime_seconds) as avg_downtime_seconds,
-- Data recovery metrics
SUM(documents_restored) as total_documents_recovered,
AVG(restored_data_size_bytes) as avg_data_size_recovered,
-- Quality metrics
COUNT(*) FILTER (WHERE data_consistency_verified = true) as verified_recoveries,
COUNT(*) FILTER (WHERE recovery_time_objective_met = true) as rto_met_count,
COUNT(*) FILTER (WHERE manual_intervention_required = true) as manual_intervention_count,
-- Success rate
CASE
WHEN COUNT(*) > 0 THEN
(COUNT(*) FILTER (WHERE recovery_status = 'completed') * 100.0) / COUNT(*)
ELSE 0
END as recovery_success_rate_percent
FROM recovery_scenarios
GROUP BY recovery_type
),
backup_recovery_readiness AS (
SELECT
backup_id,
backup_type,
backup_timestamp,
backup_size_bytes,
backup_status,
verification_status,
-- Recovery readiness assessment
CASE
WHEN backup_status = 'completed' AND verification_status = 'verified' THEN 'ready'
WHEN backup_status = 'completed' AND verification_status = 'pending' THEN 'needs_verification'
WHEN backup_status = 'completed' AND verification_status = 'failed' THEN 'not_reliable'
WHEN backup_status = 'failed' THEN 'not_available'
ELSE 'unknown'
END as recovery_readiness,
-- Age assessment for recovery planning
EXTRACT(DAYS FROM (CURRENT_TIMESTAMP - backup_timestamp)) as backup_age_days,
CASE
WHEN EXTRACT(DAYS FROM (CURRENT_TIMESTAMP - backup_timestamp)) <= 1 THEN 'very_recent'
WHEN EXTRACT(DAYS FROM (CURRENT_TIMESTAMP - backup_timestamp)) <= 7 THEN 'recent'
WHEN EXTRACT(DAYS FROM (CURRENT_TIMESTAMP - backup_timestamp)) <= 30 THEN 'moderate'
ELSE 'old'
END as backup_age_category,
-- Estimated recovery time based on size
CASE
WHEN backup_size_bytes < 1024 * 1024 * 1024 THEN 'fast' -- < 1GB
WHEN backup_size_bytes < 10 * 1024 * 1024 * 1024 THEN 'moderate' -- < 10GB
WHEN backup_size_bytes < 100 * 1024 * 1024 * 1024 THEN 'slow' -- < 100GB
ELSE 'very_slow' -- >= 100GB
END as estimated_recovery_speed
FROM backup_jobs
WHERE backup_timestamp >= CURRENT_TIMESTAMP - INTERVAL '30 days'
AND backup_type IN ('full', 'incremental')
)
SELECT
rp.recovery_type,
rp.total_recoveries,
rp.successful_recoveries,
rp.failed_recoveries,
ROUND(rp.recovery_success_rate_percent, 1) as success_rate_percent,
-- Performance summary
ROUND(rp.avg_recovery_time_seconds / 60.0, 1) as avg_recovery_time_minutes,
ROUND(rp.p95_recovery_time_seconds / 60.0, 1) as p95_recovery_time_minutes,
ROUND(rp.avg_downtime_seconds / 60.0, 1) as avg_downtime_minutes,
-- Data recovery summary
rp.total_documents_recovered,
ROUND(rp.avg_data_size_recovered / 1024.0 / 1024.0, 1) as avg_data_recovered_mb,
-- Quality assessment
rp.verified_recoveries,
ROUND((rp.verified_recoveries * 100.0) / NULLIF(rp.successful_recoveries, 0), 1) as verification_rate_percent,
rp.rto_met_count,
ROUND((rp.rto_met_count * 100.0) / NULLIF(rp.total_recoveries, 0), 1) as rto_achievement_percent,
-- Operational indicators
rp.manual_intervention_count,
CASE
WHEN rp.recovery_success_rate_percent < 95 THEN 'critical'
WHEN rp.avg_recovery_time_seconds > 14400 THEN 'warning' -- 4 hours
WHEN rp.manual_intervention_count > rp.total_recoveries * 0.2 THEN 'warning'
ELSE 'healthy'
END as recovery_health_status,
-- Backup readiness summary
(SELECT COUNT(*)
FROM backup_recovery_readiness brr
WHERE brr.recovery_readiness = 'ready'
AND brr.backup_age_category IN ('very_recent', 'recent')
) as ready_recent_backups,
(SELECT COUNT(*)
FROM backup_recovery_readiness brr
WHERE brr.recovery_readiness = 'needs_verification'
) as backups_needing_verification,
-- Recovery capability assessment
CASE
WHEN rp.avg_recovery_time_seconds <= 3600 THEN 'excellent' -- ≤ 1 hour
WHEN rp.avg_recovery_time_seconds <= 14400 THEN 'good' -- ≤ 4 hours
WHEN rp.avg_recovery_time_seconds <= 28800 THEN 'acceptable' -- ≤ 8 hours
ELSE 'needs_improvement'
END as recovery_capability_rating,
-- Recommendations
ARRAY[
CASE WHEN rp.recovery_success_rate_percent < 98 THEN 'Improve backup verification processes' END,
CASE WHEN rp.avg_recovery_time_seconds > 7200 THEN 'Optimize recovery performance' END,
CASE WHEN rp.manual_intervention_count > 0 THEN 'Automate recovery procedures' END,
CASE WHEN rp.rto_achievement_percent < 90 THEN 'Review recovery time objectives' END
]::TEXT[] as improvement_recommendations
FROM recovery_performance rp
ORDER BY rp.recovery_type;
-- Disaster recovery readiness assessment
CREATE VIEW disaster_recovery_dashboard AS
WITH current_backup_status AS (
SELECT
backup_type,
COUNT(*) as total_backups,
COUNT(*) FILTER (WHERE backup_status = 'completed') as completed_backups,
COUNT(*) FILTER (WHERE verification_status = 'verified') as verified_backups,
MAX(backup_timestamp) as latest_backup_time,
-- Recovery point assessment
MIN(EXTRACT(MINUTES FROM (CURRENT_TIMESTAMP - backup_timestamp))) as minutes_since_latest,
-- Geographic distribution
COUNT(DISTINCT backup_location) as backup_locations,
COUNT(*) FILTER (WHERE backup_location LIKE '%cross-region%') as cross_region_backups
FROM backup_jobs
WHERE backup_timestamp >= CURRENT_TIMESTAMP - INTERVAL '7 days'
GROUP BY backup_type
),
disaster_scenarios AS (
SELECT
scenario_name,
scenario_type,
estimated_data_loss_minutes,
estimated_recovery_time_hours,
recovery_success_probability,
last_tested_date,
test_result_status
FROM disaster_recovery_tests
WHERE test_date >= CURRENT_TIMESTAMP - INTERVAL '90 days'
),
compliance_status AS (
SELECT
regulation_name,
compliance_status,
last_audit_date,
next_audit_due_date,
backup_retention_requirement_days,
encryption_requirement_met,
access_control_requirement_met
FROM compliance_audits
WHERE audit_type = 'backup_recovery'
)
SELECT
CURRENT_TIMESTAMP as dashboard_timestamp,
-- Overall backup health
(SELECT
CASE
WHEN MIN(minutes_since_latest) <= 60 AND
AVG((completed_backups * 100.0) / total_backups) >= 95 THEN 'excellent'
WHEN MIN(minutes_since_latest) <= 240 AND
AVG((completed_backups * 100.0) / total_backups) >= 90 THEN 'good'
WHEN MIN(minutes_since_latest) <= 1440 AND
AVG((completed_backups * 100.0) / total_backups) >= 85 THEN 'acceptable'
ELSE 'critical'
END
FROM current_backup_status) as overall_backup_health,
-- Recovery readiness
(SELECT
CASE
WHEN COUNT(*) FILTER (WHERE recovery_success_probability >= 0.95) = COUNT(*) THEN 'fully_ready'
WHEN COUNT(*) FILTER (WHERE recovery_success_probability >= 0.90) >= COUNT(*) * 0.8 THEN 'mostly_ready'
WHEN COUNT(*) FILTER (WHERE recovery_success_probability >= 0.75) >= COUNT(*) * 0.6 THEN 'partially_ready'
ELSE 'not_ready'
END
FROM disaster_scenarios) as disaster_recovery_readiness,
-- Compliance status
(SELECT
CASE
WHEN COUNT(*) FILTER (WHERE compliance_status = 'compliant') = COUNT(*) THEN 'fully_compliant'
WHEN COUNT(*) FILTER (WHERE compliance_status = 'compliant') >= COUNT(*) * 0.8 THEN 'mostly_compliant'
ELSE 'non_compliant'
END
FROM compliance_status) as regulatory_compliance_status,
-- Detailed metrics
(SELECT JSON_AGG(
JSON_BUILD_OBJECT(
'backup_type', backup_type,
'completion_rate', ROUND((completed_backups * 100.0) / total_backups, 1),
'verification_rate', ROUND((verified_backups * 100.0) / completed_backups, 1),
'minutes_since_latest', minutes_since_latest,
'geographic_distribution', backup_locations,
'cross_region_backups', cross_region_backups
)
) FROM current_backup_status) as backup_status_details,
-- Critical alerts
ARRAY[
CASE WHEN (SELECT MIN(minutes_since_latest) FROM current_backup_status) > 1440
THEN 'CRITICAL: No recent backups found (>24 hours)' END,
CASE WHEN (SELECT COUNT(*) FROM disaster_scenarios WHERE last_tested_date < CURRENT_DATE - INTERVAL '90 days') > 0
THEN 'WARNING: Disaster recovery procedures not recently tested' END,
CASE WHEN (SELECT COUNT(*) FROM compliance_status WHERE compliance_status != 'compliant') > 0
THEN 'WARNING: Compliance violations detected' END,
CASE WHEN (SELECT AVG((verified_backups * 100.0) / completed_backups) FROM current_backup_status) < 90
THEN 'WARNING: Low backup verification rate' END
]::TEXT[] as critical_alerts;
-- QueryLeaf provides comprehensive backup and recovery capabilities:
-- 1. SQL-familiar syntax for MongoDB backup configuration and management
-- 2. Advanced backup scheduling with flexible retention policies
-- 3. Comprehensive backup verification and integrity monitoring
-- 4. Point-in-time recovery capabilities with oplog integration
-- 5. Disaster recovery planning and readiness assessment
-- 6. Compliance auditing and regulatory requirement management
-- 7. Performance monitoring and optimization recommendations
-- 8. Automated backup testing and recovery validation
-- 9. Enterprise-grade backup management with minimal configuration
-- 10. Production-ready disaster recovery automation and procedures
Best Practices for Production Backup and Recovery
Backup Strategy Design Principles
Essential principles for effective MongoDB backup and recovery deployment:
- Multi-Tier Backup Strategy: Implement multiple backup frequencies and retention policies for different recovery scenarios
- Verification and Testing: Establish comprehensive backup verification and regular recovery testing procedures
- Point-in-Time Recovery: Configure oplog capture and incremental backups for granular recovery capabilities
- Geographic Distribution: Implement cross-region backup replication for disaster recovery protection
- Performance Optimization: Balance backup frequency with system performance impact through intelligent scheduling
- Compliance Integration: Ensure backup procedures meet regulatory requirements and audit standards
Enterprise Backup Architecture
Design backup systems for enterprise-scale requirements:
- Automated Scheduling: Implement intelligent backup scheduling based on business requirements and system load
- Storage Management: Optimize backup storage with compression, deduplication, and lifecycle management
- Monitoring Integration: Integrate backup monitoring with existing alerting and operational workflows
- Security Controls: Implement encryption, access controls, and audit trails for backup security
- Disaster Recovery: Design comprehensive disaster recovery procedures with automated failover capabilities
- Capacity Planning: Monitor backup growth patterns and plan storage capacity requirements
Conclusion
MongoDB backup and recovery provides comprehensive data protection capabilities that enable robust disaster recovery, regulatory compliance, and business continuity through automated backup scheduling, point-in-time recovery, and advanced verification features. The native backup tools and integrated recovery procedures ensure that critical data is protected with minimal operational overhead.
Key MongoDB Backup and Recovery benefits include:
- Automated Protection: Intelligent backup scheduling with comprehensive retention policies and automated lifecycle management
- Advanced Recovery Options: Point-in-time recovery capabilities with oplog integration and incremental backup support
- Enterprise Reliability: Production-ready backup verification, disaster recovery procedures, and compliance auditing
- Performance Optimization: Efficient backup compression, parallel processing, and minimal performance impact
- Operational Excellence: Comprehensive monitoring, alerting, and automated testing for backup system reliability
- SQL Accessibility: Familiar SQL-style backup management operations through QueryLeaf for accessible data protection
Whether you're protecting mission-critical applications, meeting regulatory compliance requirements, implementing disaster recovery procedures, or managing enterprise backup operations, MongoDB backup and recovery with QueryLeaf's familiar SQL interface provides the foundation for comprehensive, reliable data protection.
QueryLeaf Integration: QueryLeaf automatically optimizes MongoDB backup and recovery operations while providing SQL-familiar syntax for backup configuration, monitoring, and recovery procedures. Advanced backup strategies, disaster recovery planning, and compliance auditing are seamlessly handled through familiar SQL constructs, making sophisticated data protection accessible to SQL-oriented operations teams.
The combination of MongoDB's robust backup capabilities with SQL-style data protection operations makes it an ideal platform for applications requiring both comprehensive data protection and familiar database management patterns, ensuring your critical data remains secure and recoverable as your systems scale and evolve.