MongoDB Backup and Recovery for Enterprise Data Protection: Advanced Disaster Recovery Strategies, Point-in-Time Recovery, and Operational Resilience
Enterprise applications require comprehensive data protection strategies that ensure business continuity during system failures, natural disasters, or data corruption events. Traditional database backup approaches often struggle with the complexity of distributed systems, large data volumes, and the stringent Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) demanded by modern business operations.
MongoDB's distributed architecture and flexible backup mechanisms provide sophisticated data protection capabilities that support everything from simple scheduled backups to complex multi-region disaster recovery scenarios. Unlike traditional relational systems that often require expensive specialized backup software and complex coordination across multiple database instances, MongoDB's replica sets, sharding, and oplog-based recovery enable native, high-performance backup strategies that integrate seamlessly with cloud storage systems and enterprise infrastructure.
The Traditional Backup Challenge
Conventional database backup approaches face significant limitations when dealing with large-scale distributed applications:
-- Traditional PostgreSQL backup approach - complex and time-consuming
-- Full database backup (blocks database during backup)
pg_dump --host=localhost --port=5432 --username=postgres \
--format=custom --blobs --verbose --file=full_backup_20240130.dump \
--schema=public ecommerce_db;
-- Problems with traditional full backups:
-- 1. Database blocking during backup operations
-- 2. Exponentially growing backup sizes
-- 3. Long recovery times for large databases
-- 4. No granular recovery options
-- 5. Complex coordination across multiple database instances
-- 6. Limited point-in-time recovery capabilities
-- 7. Expensive storage requirements for frequent backups
-- 8. Manual intervention required for disaster recovery scenarios
-- Incremental backup simulation (requires complex custom scripting)
BEGIN;
-- Create backup tracking table
CREATE TABLE IF NOT EXISTS backup_tracking (
backup_id SERIAL PRIMARY KEY,
backup_type VARCHAR(20) NOT NULL, -- full, incremental, differential
backup_timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_lsn BIGINT,
backup_size_bytes BIGINT,
backup_location TEXT NOT NULL,
backup_status VARCHAR(20) DEFAULT 'in_progress',
completion_time TIMESTAMP,
verification_status VARCHAR(20),
retention_until TIMESTAMP
);
-- Track WAL position for incremental backups
CREATE TABLE IF NOT EXISTS wal_tracking (
tracking_id SERIAL PRIMARY KEY,
checkpoint_timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
wal_position BIGINT NOT NULL,
transaction_count BIGINT,
database_size_bytes BIGINT,
active_connections INTEGER
);
COMMIT;
-- Complex stored procedure for incremental backup coordination
CREATE OR REPLACE FUNCTION perform_incremental_backup(
backup_location TEXT,
compression_level INTEGER DEFAULT 6
)
RETURNS TABLE (
backup_id INTEGER,
backup_size_bytes BIGINT,
duration_seconds INTEGER,
success BOOLEAN
) AS $$
DECLARE
current_lsn BIGINT;
last_backup_lsn BIGINT;
backup_start_time TIMESTAMP := clock_timestamp();
new_backup_id INTEGER;
backup_command TEXT;
backup_result INTEGER;
BEGIN
-- Get current WAL position
SELECT pg_current_wal_lsn() INTO current_lsn;
-- Get last backup LSN
SELECT COALESCE(MAX(last_lsn), 0)
INTO last_backup_lsn
FROM backup_tracking
WHERE backup_status = 'completed';
-- Check if incremental backup is needed
IF current_lsn <= last_backup_lsn THEN
RAISE NOTICE 'No changes since last backup, skipping incremental backup';
RETURN;
END IF;
-- Create backup record
INSERT INTO backup_tracking (
backup_type,
last_lsn,
backup_location
)
VALUES (
'incremental',
current_lsn,
backup_location
)
RETURNING backup_id INTO new_backup_id;
-- Perform incremental backup (simplified - actual implementation much more complex)
-- This would require complex WAL shipping and parsing logic
backup_command := format(
'pg_basebackup --host=localhost --username=postgres --wal-method=stream --compress=%s --format=tar --pgdata=%s/incremental_%s',
compression_level,
backup_location,
new_backup_id
);
-- Execute backup command (in real implementation)
-- SELECT * FROM system_command(backup_command) INTO backup_result;
backup_result := 0; -- Simulate success
IF backup_result = 0 THEN
-- Update backup record with completion
UPDATE backup_tracking
SET
backup_status = 'completed',
completion_time = clock_timestamp(),
backup_size_bytes = pg_database_size(current_database())
WHERE backup_id = new_backup_id;
-- Record WAL tracking information
INSERT INTO wal_tracking (
wal_position,
transaction_count,
database_size_bytes,
active_connections
) VALUES (
current_lsn,
(SELECT sum(xact_commit + xact_rollback) FROM pg_stat_database),
pg_database_size(current_database()),
(SELECT count(*) FROM pg_stat_activity WHERE state = 'active')
);
RETURN QUERY SELECT
new_backup_id,
pg_database_size(current_database()),
EXTRACT(SECONDS FROM clock_timestamp() - backup_start_time)::INTEGER,
TRUE;
ELSE
-- Mark backup as failed
UPDATE backup_tracking
SET backup_status = 'failed'
WHERE backup_id = new_backup_id;
RETURN QUERY SELECT
new_backup_id,
0::BIGINT,
EXTRACT(SECONDS FROM clock_timestamp() - backup_start_time)::INTEGER,
FALSE;
END IF;
END;
$$ LANGUAGE plpgsql;
-- Point-in-time recovery simulation (extremely complex in traditional systems)
CREATE OR REPLACE FUNCTION simulate_point_in_time_recovery(
target_timestamp TIMESTAMP,
recovery_location TEXT
)
RETURNS TABLE (
recovery_success BOOLEAN,
recovered_to_timestamp TIMESTAMP,
recovery_duration_minutes INTEGER,
data_loss_minutes INTEGER
) AS $$
DECLARE
base_backup_id INTEGER;
target_lsn BIGINT;
recovery_start_time TIMESTAMP := clock_timestamp();
actual_recovery_timestamp TIMESTAMP;
BEGIN
-- Find appropriate base backup
SELECT backup_id
INTO base_backup_id
FROM backup_tracking
WHERE backup_timestamp <= target_timestamp
AND backup_status = 'completed'
AND backup_type IN ('full', 'differential')
ORDER BY backup_timestamp DESC
LIMIT 1;
IF base_backup_id IS NULL THEN
RAISE EXCEPTION 'No suitable base backup found for timestamp %', target_timestamp;
END IF;
-- Find target LSN from WAL tracking
SELECT wal_position
INTO target_lsn
FROM wal_tracking
WHERE checkpoint_timestamp <= target_timestamp
ORDER BY checkpoint_timestamp DESC
LIMIT 1;
-- Simulate complex recovery process
-- In reality, this involves:
-- 1. Restoring base backup
-- 2. Applying WAL files up to target point
-- 3. Complex validation and consistency checks
-- 4. Service coordination and failover
-- Simulate recovery time based on data size and complexity
PERFORM pg_sleep(
CASE
WHEN pg_database_size(current_database()) > 1073741824 THEN 5 -- Large DB: 5+ minutes
WHEN pg_database_size(current_database()) > 104857600 THEN 2 -- Medium DB: 2+ minutes
ELSE 0.5 -- Small DB: 30+ seconds
END
);
actual_recovery_timestamp := target_timestamp - INTERVAL '2 minutes'; -- Simulate slight data loss
RETURN QUERY SELECT
TRUE as recovery_success,
actual_recovery_timestamp,
EXTRACT(MINUTES FROM clock_timestamp() - recovery_start_time)::INTEGER,
EXTRACT(MINUTES FROM target_timestamp - actual_recovery_timestamp)::INTEGER;
END;
$$ LANGUAGE plpgsql;
-- Disaster recovery coordination (manual and error-prone)
CREATE OR REPLACE FUNCTION coordinate_disaster_recovery(
disaster_scenario VARCHAR(100),
recovery_site_location TEXT,
maximum_data_loss_minutes INTEGER DEFAULT 15
)
RETURNS TABLE (
step_number INTEGER,
step_description TEXT,
step_status VARCHAR(20),
step_duration_minutes INTEGER,
success BOOLEAN
) AS $$
DECLARE
step_counter INTEGER := 0;
total_start_time TIMESTAMP := clock_timestamp();
step_start_time TIMESTAMP;
BEGIN
-- Step 1: Assess disaster scope
step_counter := step_counter + 1;
step_start_time := clock_timestamp();
-- Simulate disaster assessment
PERFORM pg_sleep(0.5);
RETURN QUERY SELECT
step_counter,
'Assess disaster scope and determine recovery requirements',
'completed',
EXTRACT(MINUTES FROM clock_timestamp() - step_start_time)::INTEGER,
TRUE;
-- Step 2: Activate disaster recovery site
step_counter := step_counter + 1;
step_start_time := clock_timestamp();
PERFORM pg_sleep(2);
RETURN QUERY SELECT
step_counter,
'Activate disaster recovery site and initialize infrastructure',
'completed',
EXTRACT(MINUTES FROM clock_timestamp() - step_start_time)::INTEGER,
TRUE;
-- Step 3: Restore latest backup
step_counter := step_counter + 1;
step_start_time := clock_timestamp();
PERFORM pg_sleep(3);
RETURN QUERY SELECT
step_counter,
'Restore latest full backup to recovery site',
'completed',
EXTRACT(MINUTES FROM clock_timestamp() - step_start_time)::INTEGER,
TRUE;
-- Step 4: Apply incremental backups and WAL files
step_counter := step_counter + 1;
step_start_time := clock_timestamp();
PERFORM pg_sleep(1.5);
RETURN QUERY SELECT
step_counter,
'Apply incremental backups and WAL files for point-in-time recovery',
'completed',
EXTRACT(MINUTES FROM clock_timestamp() - step_start_time)::INTEGER,
TRUE;
-- Step 5: Validate data consistency and application connectivity
step_counter := step_counter + 1;
step_start_time := clock_timestamp();
PERFORM pg_sleep(1);
RETURN QUERY SELECT
step_counter,
'Validate data consistency and test application connectivity',
'completed',
EXTRACT(MINUTES FROM clock_timestamp() - step_start_time)::INTEGER,
TRUE;
-- Step 6: Switch application traffic to recovery site
step_counter := step_counter + 1;
step_start_time := clock_timestamp();
PERFORM pg_sleep(0.5);
RETURN QUERY SELECT
step_counter,
'Switch application traffic to disaster recovery site',
'completed',
EXTRACT(MINUTES FROM clock_timestamp() - step_start_time)::INTEGER,
TRUE;
END;
$$ LANGUAGE plpgsql;
-- Problems with traditional disaster recovery approaches:
-- 1. Complex manual coordination across multiple systems and teams
-- 2. Long recovery times due to sequential restoration process
-- 3. High risk of human error during crisis situations
-- 4. Limited automation and orchestration capabilities
-- 5. Expensive infrastructure duplication requirements
-- 6. Difficult testing and validation of recovery procedures
-- 7. Poor integration with cloud storage and modern infrastructure
-- 8. Limited granular recovery options for specific collections or datasets
-- 9. Complex dependency management across related database systems
-- 10. High operational overhead for maintaining backup infrastructure
MongoDB provides comprehensive backup and recovery capabilities that address these traditional limitations:
// MongoDB Enterprise Backup and Recovery Management System
const { MongoClient, GridFSBucket } = require('mongodb');
const fs = require('fs');
const path = require('path');
const zlib = require('zlib');
const crypto = require('crypto');
// Advanced MongoDB backup and recovery management system
class MongoEnterpriseBackupManager {
constructor(connectionUri, options = {}) {
this.client = new MongoClient(connectionUri);
this.db = null;
this.gridFS = null;
// Backup configuration
this.config = {
// Backup strategy settings
backupStrategy: {
enableFullBackups: options.backupStrategy?.enableFullBackups !== false,
enableIncrementalBackups: options.backupStrategy?.enableIncrementalBackups !== false,
fullBackupInterval: options.backupStrategy?.fullBackupInterval || '7d',
incrementalBackupInterval: options.backupStrategy?.incrementalBackupInterval || '1h',
retentionPeriod: options.backupStrategy?.retentionPeriod || '90d',
compressionEnabled: options.backupStrategy?.compressionEnabled !== false,
encryptionEnabled: options.backupStrategy?.encryptionEnabled || false
},
// Storage configuration
storageSettings: {
localBackupPath: options.storageSettings?.localBackupPath || './backups',
cloudStorageEnabled: options.storageSettings?.cloudStorageEnabled || false,
cloudProvider: options.storageSettings?.cloudProvider || 'aws', // aws, azure, gcp
cloudBucket: options.storageSettings?.cloudBucket || 'mongodb-backups',
storageClass: options.storageSettings?.storageClass || 'standard' // standard, infrequent, archive
},
// Recovery configuration
recoverySettings: {
enablePointInTimeRecovery: options.recoverySettings?.enablePointInTimeRecovery !== false,
oplogRetentionHours: options.recoverySettings?.oplogRetentionHours || 72,
parallelRecoveryThreads: options.recoverySettings?.parallelRecoveryThreads || 4,
recoveryValidationEnabled: options.recoverySettings?.recoveryValidationEnabled !== false
},
// Disaster recovery configuration
disasterRecovery: {
enableCrossRegionReplication: options.disasterRecovery?.enableCrossRegionReplication || false,
replicationRegions: options.disasterRecovery?.replicationRegions || [],
automaticFailover: options.disasterRecovery?.automaticFailover || false,
rpoMinutes: options.disasterRecovery?.rpoMinutes || 15, // Recovery Point Objective
rtoMinutes: options.disasterRecovery?.rtoMinutes || 30 // Recovery Time Objective
}
};
// Backup state tracking
this.backupState = {
lastFullBackup: null,
lastIncrementalBackup: null,
activeBackupOperations: new Map(),
backupHistory: new Map(),
recoveryOperations: new Map()
};
// Performance metrics
this.metrics = {
totalBackupsCreated: 0,
totalDataBackedUp: 0,
totalRecoveryOperations: 0,
averageBackupTime: 0,
averageRecoveryTime: 0,
backupSuccessRate: 100,
lastBackupTimestamp: null
};
}
async initialize(databaseName) {
console.log('Initializing MongoDB Enterprise Backup Manager...');
try {
await this.client.connect();
this.db = this.client.db(databaseName);
this.gridFS = new GridFSBucket(this.db, { bucketName: 'backups' });
// Setup backup management collections
await this.setupBackupCollections();
// Initialize backup storage directories
await this.initializeBackupStorage();
// Load existing backup history
await this.loadBackupHistory();
// Setup automated backup scheduling if enabled
if (this.config.backupStrategy.enableFullBackups ||
this.config.backupStrategy.enableIncrementalBackups) {
this.setupAutomatedBackups();
}
console.log('MongoDB Enterprise Backup Manager initialized successfully');
} catch (error) {
console.error('Error initializing backup manager:', error);
throw error;
}
}
// Create comprehensive full backup
async createFullBackup(options = {}) {
console.log('Starting full backup operation...');
const backupId = this.generateBackupId();
const startTime = Date.now();
try {
// Initialize backup operation tracking
const backupOperation = {
backupId: backupId,
backupType: 'full',
startTime: new Date(startTime),
status: 'in_progress',
collections: [],
totalDocuments: 0,
totalSize: 0,
compressionRatio: 0,
encryptionEnabled: this.config.backupStrategy.encryptionEnabled
};
this.backupState.activeBackupOperations.set(backupId, backupOperation);
// Get list of collections to backup
const collections = options.collections || await this.getBackupCollections();
backupOperation.collections = collections.map(c => c.name);
console.log(`Backing up ${collections.length} collections...`);
// Create backup metadata
const backupMetadata = {
backupId: backupId,
backupType: 'full',
timestamp: new Date(),
databaseName: this.db.databaseName,
collections: collections.map(c => ({
name: c.name,
documentCount: 0,
avgDocSize: 0,
totalSize: 0,
indexes: []
})),
backupSize: 0,
compressionEnabled: this.config.backupStrategy.compressionEnabled,
encryptionEnabled: this.config.backupStrategy.encryptionEnabled,
version: '1.0'
};
// Backup each collection with metadata
for (const collectionInfo of collections) {
const collectionBackup = await this.backupCollection(
collectionInfo.name,
backupId,
'full',
options
);
// Update metadata
const collectionMeta = backupMetadata.collections.find(c => c.name === collectionInfo.name);
collectionMeta.documentCount = collectionBackup.documentCount;
collectionMeta.avgDocSize = collectionBackup.avgDocSize;
collectionMeta.totalSize = collectionBackup.totalSize;
collectionMeta.indexes = collectionBackup.indexes;
backupOperation.totalDocuments += collectionBackup.documentCount;
backupOperation.totalSize += collectionBackup.totalSize;
}
// Backup database metadata and indexes
await this.backupDatabaseMetadata(backupId, backupMetadata);
// Create backup manifest
const backupManifest = await this.createBackupManifest(backupId, backupMetadata);
// Store backup in GridFS
await this.storeBackupInGridFS(backupId, backupManifest);
// Upload to cloud storage if enabled
if (this.config.storageSettings.cloudStorageEnabled) {
await this.uploadToCloudStorage(backupId, backupManifest);
}
// Calculate final metrics
const endTime = Date.now();
const duration = endTime - startTime;
backupOperation.status = 'completed';
backupOperation.endTime = new Date(endTime);
backupOperation.duration = duration;
backupOperation.compressionRatio = this.calculateCompressionRatio(backupOperation.totalSize, backupManifest.compressedSize);
// Update backup history
this.backupState.backupHistory.set(backupId, backupOperation);
this.backupState.lastFullBackup = backupOperation;
this.backupState.activeBackupOperations.delete(backupId);
// Update metrics
this.updateBackupMetrics(backupOperation);
// Log backup completion
await this.logBackupOperation(backupOperation);
console.log(`Full backup completed successfully: ${backupId}`);
console.log(`Duration: ${Math.round(duration / 1000)}s, Size: ${Math.round(backupOperation.totalSize / 1024 / 1024)}MB`);
return {
backupId: backupId,
backupType: 'full',
duration: duration,
totalSize: backupOperation.totalSize,
collections: backupOperation.collections.length,
totalDocuments: backupOperation.totalDocuments,
compressionRatio: backupOperation.compressionRatio,
success: true
};
} catch (error) {
console.error(`Full backup failed: ${backupId}`, error);
// Update backup operation status
const backupOperation = this.backupState.activeBackupOperations.get(backupId);
if (backupOperation) {
backupOperation.status = 'failed';
backupOperation.error = error.message;
backupOperation.endTime = new Date();
// Move to history
this.backupState.backupHistory.set(backupId, backupOperation);
this.backupState.activeBackupOperations.delete(backupId);
}
throw error;
}
}
// Create incremental backup based on oplog
async createIncrementalBackup(options = {}) {
console.log('Starting incremental backup operation...');
if (!this.backupState.lastFullBackup) {
throw new Error('No full backup found. Full backup required before incremental backup.');
}
const backupId = this.generateBackupId();
const startTime = Date.now();
try {
// Get oplog entries since last backup
const lastBackupTime = this.backupState.lastIncrementalBackup?.endTime ||
this.backupState.lastFullBackup.endTime;
const oplogEntries = await this.getOplogEntries(lastBackupTime, options);
console.log(`Processing ${oplogEntries.length} oplog entries for incremental backup...`);
const backupOperation = {
backupId: backupId,
backupType: 'incremental',
startTime: new Date(startTime),
status: 'in_progress',
baseBackupId: this.backupState.lastFullBackup.backupId,
oplogEntries: oplogEntries.length,
affectedCollections: new Set(),
totalSize: 0
};
this.backupState.activeBackupOperations.set(backupId, backupOperation);
// Process oplog entries and create incremental backup data
const incrementalData = await this.processOplogForBackup(oplogEntries, backupId);
// Update operation with processed data
backupOperation.affectedCollections = Array.from(incrementalData.affectedCollections);
backupOperation.totalSize = incrementalData.totalSize;
// Create incremental backup manifest
const incrementalManifest = {
backupId: backupId,
backupType: 'incremental',
timestamp: new Date(),
baseBackupId: this.backupState.lastFullBackup.backupId,
oplogStartTime: lastBackupTime,
oplogEndTime: new Date(),
oplogEntries: oplogEntries.length,
affectedCollections: backupOperation.affectedCollections,
incrementalSize: incrementalData.totalSize
};
// Store incremental backup
await this.storeIncrementalBackup(backupId, incrementalData, incrementalManifest);
// Upload to cloud storage if enabled
if (this.config.storageSettings.cloudStorageEnabled) {
await this.uploadIncrementalToCloud(backupId, incrementalManifest);
}
// Complete backup operation
const endTime = Date.now();
const duration = endTime - startTime;
backupOperation.status = 'completed';
backupOperation.endTime = new Date(endTime);
backupOperation.duration = duration;
// Update backup state
this.backupState.backupHistory.set(backupId, backupOperation);
this.backupState.lastIncrementalBackup = backupOperation;
this.backupState.activeBackupOperations.delete(backupId);
// Update metrics
this.updateBackupMetrics(backupOperation);
// Log backup completion
await this.logBackupOperation(backupOperation);
console.log(`Incremental backup completed successfully: ${backupId}`);
console.log(`Duration: ${Math.round(duration / 1000)}s, Oplog entries: ${oplogEntries.length}`);
return {
backupId: backupId,
backupType: 'incremental',
duration: duration,
oplogEntries: oplogEntries.length,
affectedCollections: backupOperation.affectedCollections.length,
totalSize: backupOperation.totalSize,
success: true
};
} catch (error) {
console.error(`Incremental backup failed: ${backupId}`, error);
const backupOperation = this.backupState.activeBackupOperations.get(backupId);
if (backupOperation) {
backupOperation.status = 'failed';
backupOperation.error = error.message;
backupOperation.endTime = new Date();
this.backupState.backupHistory.set(backupId, backupOperation);
this.backupState.activeBackupOperations.delete(backupId);
}
throw error;
}
}
// Advanced point-in-time recovery
async performPointInTimeRecovery(targetTimestamp, options = {}) {
console.log(`Starting point-in-time recovery to ${targetTimestamp}...`);
const recoveryId = this.generateRecoveryId();
const startTime = Date.now();
try {
// Find appropriate backup chain for target timestamp
const backupChain = await this.findBackupChain(targetTimestamp);
if (!backupChain || backupChain.length === 0) {
throw new Error(`No suitable backup found for timestamp: ${targetTimestamp}`);
}
console.log(`Using backup chain: ${backupChain.map(b => b.backupId).join(' -> ')}`);
const recoveryOperation = {
recoveryId: recoveryId,
recoveryType: 'point_in_time',
targetTimestamp: targetTimestamp,
startTime: new Date(startTime),
status: 'in_progress',
backupChain: backupChain,
recoveryDatabase: options.recoveryDatabase || `${this.db.databaseName}_recovery_${recoveryId}`,
totalSteps: 0,
completedSteps: 0
};
this.backupState.recoveryOperations.set(recoveryId, recoveryOperation);
// Create recovery database
const recoveryDb = this.client.db(recoveryOperation.recoveryDatabase);
// Step 1: Restore base full backup
console.log('Restoring base full backup...');
await this.restoreFullBackup(backupChain[0], recoveryDb, recoveryOperation);
recoveryOperation.completedSteps++;
// Step 2: Apply incremental backups in sequence
for (let i = 1; i < backupChain.length; i++) {
console.log(`Applying incremental backup ${i}/${backupChain.length - 1}...`);
await this.applyIncrementalBackup(backupChain[i], recoveryDb, recoveryOperation);
recoveryOperation.completedSteps++;
}
// Step 3: Apply oplog entries up to target timestamp
console.log('Applying oplog entries for point-in-time recovery...');
await this.applyOplogToTimestamp(targetTimestamp, recoveryDb, recoveryOperation);
recoveryOperation.completedSteps++;
// Step 4: Validate recovered database
if (this.config.recoverySettings.recoveryValidationEnabled) {
console.log('Validating recovered database...');
await this.validateRecoveredDatabase(recoveryDb, recoveryOperation);
recoveryOperation.completedSteps++;
}
// Complete recovery operation
const endTime = Date.now();
const duration = endTime - startTime;
recoveryOperation.status = 'completed';
recoveryOperation.endTime = new Date(endTime);
recoveryOperation.duration = duration;
recoveryOperation.actualRecoveryTimestamp = await this.getLatestTimestampFromDb(recoveryDb);
// Calculate data loss
const dataLoss = targetTimestamp - recoveryOperation.actualRecoveryTimestamp;
recoveryOperation.dataLossMs = Math.max(0, dataLoss);
// Update metrics
this.updateRecoveryMetrics(recoveryOperation);
// Log recovery completion
await this.logRecoveryOperation(recoveryOperation);
console.log(`Point-in-time recovery completed successfully: ${recoveryId}`);
console.log(`Recovery database: ${recoveryOperation.recoveryDatabase}`);
console.log(`Duration: ${Math.round(duration / 1000)}s, Data loss: ${Math.round(dataLoss / 1000)}s`);
return {
recoveryId: recoveryId,
recoveryType: 'point_in_time',
duration: duration,
recoveryDatabase: recoveryOperation.recoveryDatabase,
actualRecoveryTimestamp: recoveryOperation.actualRecoveryTimestamp,
dataLossMs: recoveryOperation.dataLossMs,
backupChainLength: backupChain.length,
success: true
};
} catch (error) {
console.error(`Point-in-time recovery failed: ${recoveryId}`, error);
const recoveryOperation = this.backupState.recoveryOperations.get(recoveryId);
if (recoveryOperation) {
recoveryOperation.status = 'failed';
recoveryOperation.error = error.message;
recoveryOperation.endTime = new Date();
}
throw error;
}
}
// Disaster recovery orchestration
async orchestrateDisasterRecovery(disasterScenario, options = {}) {
console.log(`Orchestrating disaster recovery for scenario: ${disasterScenario}`);
const recoveryId = this.generateRecoveryId();
const startTime = Date.now();
try {
const disasterRecoveryOperation = {
recoveryId: recoveryId,
recoveryType: 'disaster_recovery',
disasterScenario: disasterScenario,
startTime: new Date(startTime),
status: 'in_progress',
steps: [],
currentStep: 0,
recoveryRegion: options.recoveryRegion || 'primary',
targetRPO: this.config.disasterRecovery.rpoMinutes,
targetRTO: this.config.disasterRecovery.rtoMinutes
};
this.backupState.recoveryOperations.set(recoveryId, disasterRecoveryOperation);
// Define disaster recovery steps
const recoverySteps = [
{
step: 1,
description: 'Assess disaster scope and activate recovery procedures',
action: this.assessDisasterScope.bind(this),
estimatedDuration: 2
},
{
step: 2,
description: 'Initialize disaster recovery infrastructure',
action: this.initializeRecoveryInfrastructure.bind(this),
estimatedDuration: 5
},
{
step: 3,
description: 'Locate and prepare latest backup chain',
action: this.prepareDisasterRecoveryBackups.bind(this),
estimatedDuration: 3
},
{
step: 4,
description: 'Restore database from backup chain',
action: this.restoreDisasterRecoveryDatabase.bind(this),
estimatedDuration: 15
},
{
step: 5,
description: 'Validate data consistency and integrity',
action: this.validateDisasterRecoveryDatabase.bind(this),
estimatedDuration: 3
},
{
step: 6,
description: 'Switch application traffic to recovery site',
action: this.switchToRecoverySite.bind(this),
estimatedDuration: 2
}
];
disasterRecoveryOperation.steps = recoverySteps;
disasterRecoveryOperation.totalSteps = recoverySteps.length;
// Execute recovery steps sequentially
for (const step of recoverySteps) {
console.log(`Executing step ${step.step}: ${step.description}`);
disasterRecoveryOperation.currentStep = step.step;
const stepStartTime = Date.now();
try {
await step.action(disasterRecoveryOperation, options);
step.status = 'completed';
step.actualDuration = Math.round((Date.now() - stepStartTime) / 1000 / 60);
console.log(`Step ${step.step} completed in ${step.actualDuration} minutes`);
} catch (stepError) {
step.status = 'failed';
step.error = stepError.message;
step.actualDuration = Math.round((Date.now() - stepStartTime) / 1000 / 60);
console.error(`Step ${step.step} failed:`, stepError);
throw stepError;
}
}
// Complete disaster recovery
const endTime = Date.now();
const totalDuration = Math.round((endTime - startTime) / 1000 / 60);
disasterRecoveryOperation.status = 'completed';
disasterRecoveryOperation.endTime = new Date(endTime);
disasterRecoveryOperation.totalDuration = totalDuration;
disasterRecoveryOperation.rtoAchieved = totalDuration <= this.config.disasterRecovery.rtoMinutes;
// Update metrics
this.updateRecoveryMetrics(disasterRecoveryOperation);
// Log disaster recovery completion
await this.logRecoveryOperation(disasterRecoveryOperation);
console.log(`Disaster recovery completed successfully: ${recoveryId}`);
console.log(`Total duration: ${totalDuration} minutes (RTO target: ${this.config.disasterRecovery.rtoMinutes} minutes)`);
return {
recoveryId: recoveryId,
recoveryType: 'disaster_recovery',
totalDuration: totalDuration,
rtoAchieved: disasterRecoveryOperation.rtoAchieved,
stepsCompleted: recoverySteps.filter(s => s.status === 'completed').length,
totalSteps: recoverySteps.length,
success: true
};
} catch (error) {
console.error(`Disaster recovery failed: ${recoveryId}`, error);
const recoveryOperation = this.backupState.recoveryOperations.get(recoveryId);
if (recoveryOperation) {
recoveryOperation.status = 'failed';
recoveryOperation.error = error.message;
recoveryOperation.endTime = new Date();
}
throw error;
}
}
// Backup individual collection with compression and encryption
async backupCollection(collectionName, backupId, backupType, options) {
console.log(`Backing up collection: ${collectionName}`);
const collection = this.db.collection(collectionName);
const backupData = {
collectionName: collectionName,
backupId: backupId,
backupType: backupType,
timestamp: new Date(),
documents: [],
indexes: [],
documentCount: 0,
totalSize: 0,
avgDocSize: 0
};
try {
// Get collection stats
const stats = await collection.stats();
backupData.documentCount = stats.count || 0;
backupData.totalSize = stats.size || 0;
backupData.avgDocSize = backupData.documentCount > 0 ? backupData.totalSize / backupData.documentCount : 0;
// Backup collection indexes
const indexes = await collection.listIndexes().toArray();
backupData.indexes = indexes.filter(idx => idx.name !== '_id_'); // Exclude default _id index
// Stream collection documents for memory-efficient backup
const cursor = collection.find({});
const documents = [];
while (await cursor.hasNext()) {
const doc = await cursor.next();
documents.push(doc);
// Process in batches to manage memory usage
if (documents.length >= 1000) {
await this.processBatch(documents, backupData, backupId, collectionName);
documents.length = 0; // Clear batch
}
}
// Process remaining documents
if (documents.length > 0) {
await this.processBatch(documents, backupData, backupId, collectionName);
}
console.log(`Collection backup completed: ${collectionName} (${backupData.documentCount} documents)`);
return backupData;
} catch (error) {
console.error(`Error backing up collection ${collectionName}:`, error);
throw error;
}
}
// Process document batch with compression and encryption
async processBatch(documents, backupData, backupId, collectionName) {
// Serialize documents to JSON
const batchData = JSON.stringify(documents);
// Apply compression if enabled
let processedData = Buffer.from(batchData, 'utf8');
if (this.config.backupStrategy.compressionEnabled) {
processedData = zlib.gzipSync(processedData);
}
// Apply encryption if enabled
if (this.config.backupStrategy.encryptionEnabled) {
processedData = this.encryptData(processedData);
}
// Store batch data (implementation would store to GridFS or file system)
const batchId = `${backupId}_${collectionName}_${Date.now()}`;
await this.storeBatch(batchId, processedData);
backupData.documents.push({
batchId: batchId,
documentCount: documents.length,
compressedSize: processedData.length,
originalSize: Buffer.byteLength(batchData, 'utf8')
});
}
// Get oplog entries for incremental backup
async getOplogEntries(fromTimestamp, options = {}) {
console.log(`Retrieving oplog entries from ${fromTimestamp}...`);
try {
const oplogDb = this.client.db('local');
const oplogCollection = oplogDb.collection('oplog.rs');
// Query oplog for entries since last backup
const query = {
ts: { $gt: fromTimestamp },
ns: { $regex: `^${this.db.databaseName}\.` }, // Only our database
op: { $in: ['i', 'u', 'd'] } // Insert, update, delete operations
};
// Exclude certain collections from oplog backup
const excludeCollections = options.excludeCollections || ['backups.files', 'backups.chunks'];
if (excludeCollections.length > 0) {
query.ns = {
$regex: `^${this.db.databaseName}\.`,
$nin: excludeCollections.map(col => `${this.db.databaseName}.${col}`)
};
}
const oplogEntries = await oplogCollection
.find(query)
.sort({ ts: 1 })
.limit(options.maxEntries || 100000)
.toArray();
console.log(`Retrieved ${oplogEntries.length} oplog entries`);
return oplogEntries;
} catch (error) {
console.error('Error retrieving oplog entries:', error);
throw error;
}
}
// Process oplog entries for incremental backup
async processOplogForBackup(oplogEntries, backupId) {
console.log('Processing oplog entries for incremental backup...');
const incrementalData = {
backupId: backupId,
oplogEntries: oplogEntries,
affectedCollections: new Set(),
totalSize: 0,
operationCounts: {
inserts: 0,
updates: 0,
deletes: 0
}
};
// Group oplog entries by collection
const collectionOps = new Map();
for (const entry of oplogEntries) {
const collectionName = entry.ns.split('.')[1];
incrementalData.affectedCollections.add(collectionName);
if (!collectionOps.has(collectionName)) {
collectionOps.set(collectionName, []);
}
collectionOps.get(collectionName).push(entry);
// Count operation types
switch (entry.op) {
case 'i': incrementalData.operationCounts.inserts++; break;
case 'u': incrementalData.operationCounts.updates++; break;
case 'd': incrementalData.operationCounts.deletes++; break;
}
}
// Process and store oplog data per collection
for (const [collectionName, ops] of collectionOps) {
const collectionOplogData = JSON.stringify(ops);
let processedData = Buffer.from(collectionOplogData, 'utf8');
// Apply compression
if (this.config.backupStrategy.compressionEnabled) {
processedData = zlib.gzipSync(processedData);
}
// Apply encryption
if (this.config.backupStrategy.encryptionEnabled) {
processedData = this.encryptData(processedData);
}
// Store incremental data
const incrementalId = `${backupId}_oplog_${collectionName}`;
await this.storeIncrementalData(incrementalId, processedData);
incrementalData.totalSize += processedData.length;
}
console.log(`Processed oplog for ${incrementalData.affectedCollections.size} collections`);
return incrementalData;
}
// Comprehensive backup analytics and monitoring
async getBackupAnalytics(timeRange = '30d') {
console.log('Generating backup and recovery analytics...');
const timeRanges = {
'1d': 1,
'7d': 7,
'30d': 30,
'90d': 90
};
const days = timeRanges[timeRange] || 30;
const startDate = new Date(Date.now() - (days * 24 * 60 * 60 * 1000));
try {
// Get backup history from database
const backupHistory = await this.db.collection('backup_operations')
.find({
startTime: { $gte: startDate }
})
.sort({ startTime: -1 })
.toArray();
// Get recovery history
const recoveryHistory = await this.db.collection('recovery_operations')
.find({
startTime: { $gte: startDate }
})
.sort({ startTime: -1 })
.toArray();
// Calculate analytics
const analytics = {
reportGeneratedAt: new Date(),
timeRange: timeRange,
// Backup statistics
backupStatistics: {
totalBackups: backupHistory.length,
fullBackups: backupHistory.filter(b => b.backupType === 'full').length,
incrementalBackups: backupHistory.filter(b => b.backupType === 'incremental').length,
successfulBackups: backupHistory.filter(b => b.status === 'completed').length,
failedBackups: backupHistory.filter(b => b.status === 'failed').length,
successRate: backupHistory.length > 0
? (backupHistory.filter(b => b.status === 'completed').length / backupHistory.length) * 100
: 0,
// Size and performance metrics
totalDataBackedUp: backupHistory
.filter(b => b.status === 'completed')
.reduce((sum, b) => sum + (b.totalSize || 0), 0),
averageBackupSize: 0,
averageBackupDuration: 0,
averageCompressionRatio: 0
},
// Recovery statistics
recoveryStatistics: {
totalRecoveryOperations: recoveryHistory.length,
pointInTimeRecoveries: recoveryHistory.filter(r => r.recoveryType === 'point_in_time').length,
disasterRecoveries: recoveryHistory.filter(r => r.recoveryType === 'disaster_recovery').length,
successfulRecoveries: recoveryHistory.filter(r => r.status === 'completed').length,
failedRecoveries: recoveryHistory.filter(r => r.status === 'failed').length,
recoverySuccessRate: recoveryHistory.length > 0
? (recoveryHistory.filter(r => r.status === 'completed').length / recoveryHistory.length) * 100
: 0,
// Performance metrics
averageRecoveryDuration: 0,
averageDataLoss: 0,
rtoCompliance: 0,
rpoCompliance: 0
},
// System health indicators
systemHealth: {
backupFrequency: this.calculateBackupFrequency(backupHistory),
storageUtilization: await this.calculateStorageUtilization(),
lastSuccessfulBackup: backupHistory.find(b => b.status === 'completed'),
nextScheduledBackup: this.getNextScheduledBackup(),
alertsAndWarnings: []
},
// Detailed backup history
recentBackups: backupHistory.slice(0, 10),
recentRecoveries: recoveryHistory.slice(0, 5)
};
// Calculate averages
const completedBackups = backupHistory.filter(b => b.status === 'completed');
if (completedBackups.length > 0) {
analytics.backupStatistics.averageBackupSize =
analytics.backupStatistics.totalDataBackedUp / completedBackups.length;
analytics.backupStatistics.averageBackupDuration =
completedBackups.reduce((sum, b) => sum + (b.duration || 0), 0) / completedBackups.length;
analytics.backupStatistics.averageCompressionRatio =
completedBackups.reduce((sum, b) => sum + (b.compressionRatio || 1), 0) / completedBackups.length;
}
const completedRecoveries = recoveryHistory.filter(r => r.status === 'completed');
if (completedRecoveries.length > 0) {
analytics.recoveryStatistics.averageRecoveryDuration =
completedRecoveries.reduce((sum, r) => sum + (r.duration || 0), 0) / completedRecoveries.length;
analytics.recoveryStatistics.averageDataLoss =
completedRecoveries.reduce((sum, r) => sum + (r.dataLossMs || 0), 0) / completedRecoveries.length;
}
// Generate alerts and warnings
analytics.systemHealth.alertsAndWarnings = this.generateHealthAlerts(analytics);
return analytics;
} catch (error) {
console.error('Error generating backup analytics:', error);
throw error;
}
}
// Utility methods
async setupBackupCollections() {
// Create indexes for backup management collections
await this.db.collection('backup_operations').createIndexes([
{ key: { backupId: 1 }, unique: true },
{ key: { backupType: 1, startTime: -1 } },
{ key: { status: 1, startTime: -1 } },
{ key: { startTime: -1 } }
]);
await this.db.collection('recovery_operations').createIndexes([
{ key: { recoveryId: 1 }, unique: true },
{ key: { recoveryType: 1, startTime: -1 } },
{ key: { status: 1, startTime: -1 } }
]);
}
async initializeBackupStorage() {
// Create backup storage directories
if (!fs.existsSync(this.config.storageSettings.localBackupPath)) {
fs.mkdirSync(this.config.storageSettings.localBackupPath, { recursive: true });
}
}
generateBackupId() {
return `backup_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
}
generateRecoveryId() {
return `recovery_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
}
calculateCompressionRatio(originalSize, compressedSize) {
return originalSize > 0 ? originalSize / compressedSize : 1;
}
encryptData(data) {
// Simplified encryption - in production, use proper encryption libraries
const cipher = crypto.createCipher('aes192', 'backup-encryption-key');
let encrypted = cipher.update(data, 'binary', 'hex');
encrypted += cipher.final('hex');
return Buffer.from(encrypted, 'hex');
}
async storeBatch(batchId, data) {
// Store batch data in GridFS
const uploadStream = this.gridFS.openUploadStream(batchId);
uploadStream.end(data);
return new Promise((resolve, reject) => {
uploadStream.on('finish', resolve);
uploadStream.on('error', reject);
});
}
async logBackupOperation(backupOperation) {
await this.db.collection('backup_operations').insertOne({
...backupOperation,
loggedAt: new Date()
});
}
async logRecoveryOperation(recoveryOperation) {
await this.db.collection('recovery_operations').insertOne({
...recoveryOperation,
loggedAt: new Date()
});
}
// Placeholder methods for complex operations
async getBackupCollections() { /* Implementation */ return []; }
async backupDatabaseMetadata(backupId, metadata) { /* Implementation */ }
async createBackupManifest(backupId, metadata) { /* Implementation */ return {}; }
async storeBackupInGridFS(backupId, manifest) { /* Implementation */ }
async uploadToCloudStorage(backupId, manifest) { /* Implementation */ }
async storeIncrementalBackup(backupId, data, manifest) { /* Implementation */ }
async findBackupChain(timestamp) { /* Implementation */ return []; }
async restoreFullBackup(backup, db, operation) { /* Implementation */ }
async applyIncrementalBackup(backup, db, operation) { /* Implementation */ }
async applyOplogToTimestamp(timestamp, db, operation) { /* Implementation */ }
async validateRecoveredDatabase(db, operation) { /* Implementation */ }
async assessDisasterScope(operation, options) { /* Implementation */ }
async initializeRecoveryInfrastructure(operation, options) { /* Implementation */ }
async prepareDisasterRecoveryBackups(operation, options) { /* Implementation */ }
async restoreDisasterRecoveryDatabase(operation, options) { /* Implementation */ }
async validateDisasterRecoveryDatabase(operation, options) { /* Implementation */ }
async switchToRecoverySite(operation, options) { /* Implementation */ }
updateBackupMetrics(operation) {
this.metrics.totalBackupsCreated++;
this.metrics.totalDataBackedUp += operation.totalSize || 0;
this.metrics.lastBackupTimestamp = operation.endTime;
}
updateRecoveryMetrics(operation) {
this.metrics.totalRecoveryOperations++;
// Update other recovery metrics
}
}
// Example usage demonstrating comprehensive backup and recovery
async function demonstrateEnterpriseBackupRecovery() {
const backupManager = new MongoEnterpriseBackupManager('mongodb://localhost:27017');
try {
await backupManager.initialize('production_ecommerce');
console.log('Performing full backup...');
const fullBackupResult = await backupManager.createFullBackup();
console.log('Full backup result:', fullBackupResult);
// Simulate some data changes
console.log('Simulating data changes...');
await new Promise(resolve => setTimeout(resolve, 2000));
console.log('Performing incremental backup...');
const incrementalBackupResult = await backupManager.createIncrementalBackup();
console.log('Incremental backup result:', incrementalBackupResult);
// Demonstrate point-in-time recovery
const recoveryTimestamp = new Date(Date.now() - 60000); // 1 minute ago
console.log('Performing point-in-time recovery...');
const recoveryResult = await backupManager.performPointInTimeRecovery(recoveryTimestamp);
console.log('Recovery result:', recoveryResult);
// Generate analytics report
const analytics = await backupManager.getBackupAnalytics('30d');
console.log('Backup Analytics:', JSON.stringify(analytics, null, 2));
} catch (error) {
console.error('Backup and recovery demonstration error:', error);
}
}
module.exports = {
MongoEnterpriseBackupManager,
demonstrateEnterpriseBackupRecovery
};
QueryLeaf Backup and Recovery Integration
QueryLeaf provides SQL-familiar syntax for MongoDB backup and recovery operations:
-- QueryLeaf backup and recovery with SQL-style commands
-- Create comprehensive backup strategy configuration
CREATE BACKUP_STRATEGY enterprise_production AS (
-- Strategy identification
strategy_name = 'enterprise_production_backups',
strategy_description = 'Production environment backup strategy with disaster recovery',
-- Backup scheduling configuration
full_backup_schedule = JSON_OBJECT(
'frequency', 'weekly',
'day_of_week', 'sunday',
'time', '02:00:00',
'timezone', 'UTC'
),
incremental_backup_schedule = JSON_OBJECT(
'frequency', 'hourly',
'interval_hours', 4,
'business_hours_only', false
),
-- Data retention policy
retention_policy = JSON_OBJECT(
'full_backups_retention_days', 90,
'incremental_backups_retention_days', 30,
'archive_after_days', 365,
'permanent_retention_monthly', true
),
-- Storage configuration
storage_configuration = JSON_OBJECT(
'primary_storage', JSON_OBJECT(
'type', 'cloud',
'provider', 'aws',
'bucket', 'enterprise-mongodb-backups',
'region', 'us-east-1',
'storage_class', 'standard'
),
'secondary_storage', JSON_OBJECT(
'type', 'cloud',
'provider', 'azure',
'container', 'backup-replica',
'region', 'east-us-2',
'storage_class', 'cool'
),
'local_cache', JSON_OBJECT(
'enabled', true,
'path', '/backup/cache',
'max_size_gb', 500
)
),
-- Compression and encryption settings
data_protection = JSON_OBJECT(
'compression_enabled', true,
'compression_algorithm', 'gzip',
'compression_level', 6,
'encryption_enabled', true,
'encryption_algorithm', 'AES-256',
'key_rotation_days', 90
),
-- Performance and resource limits
performance_settings = JSON_OBJECT(
'max_concurrent_backups', 3,
'backup_bandwidth_limit_mbps', 100,
'memory_limit_gb', 8,
'backup_timeout_hours', 6,
'parallel_collection_backups', true
)
);
-- Execute full backup with comprehensive options
EXECUTE BACKUP full_backup_production WITH OPTIONS (
-- Backup scope
backup_type = 'full',
databases = JSON_ARRAY('ecommerce', 'analytics', 'user_management'),
include_system_collections = true,
include_indexes = true,
-- Quality and validation
verify_backup_integrity = true,
test_restore_sample = true,
backup_checksum_validation = true,
-- Performance optimization
batch_size = 1000,
parallel_collections = 4,
compression_level = 6,
-- Metadata and tracking
backup_tags = JSON_OBJECT(
'environment', 'production',
'application', 'ecommerce_platform',
'backup_tier', 'critical',
'retention_class', 'long_term'
),
backup_description = 'Weekly full backup for production ecommerce platform'
);
-- Monitor backup progress with real-time analytics
WITH backup_progress AS (
SELECT
backup_id,
backup_type,
database_name,
-- Progress tracking
total_collections,
completed_collections,
ROUND((completed_collections::numeric / total_collections) * 100, 2) as progress_percentage,
-- Performance metrics
EXTRACT(MINUTES FROM CURRENT_TIMESTAMP - backup_start_time) as elapsed_minutes,
CASE
WHEN completed_collections > 0 THEN
ROUND(
(total_collections - completed_collections) *
(EXTRACT(MINUTES FROM CURRENT_TIMESTAMP - backup_start_time) / completed_collections),
0
)
ELSE NULL
END as estimated_remaining_minutes,
-- Size and throughput
total_documents_processed,
total_size_backed_up_mb,
ROUND(
total_size_backed_up_mb /
(EXTRACT(MINUTES FROM CURRENT_TIMESTAMP - backup_start_time) + 0.1),
2
) as throughput_mb_per_minute,
-- Compression and efficiency
original_size_mb,
compressed_size_mb,
ROUND(
CASE
WHEN original_size_mb > 0 THEN
(1 - (compressed_size_mb / original_size_mb)) * 100
ELSE 0
END,
1
) as compression_ratio_percent,
backup_status,
error_count,
warning_count
FROM ACTIVE_BACKUP_OPERATIONS()
WHERE backup_status IN ('running', 'finalizing')
),
-- Resource utilization analysis
resource_utilization AS (
SELECT
backup_id,
-- System resource usage
cpu_usage_percent,
memory_usage_mb,
disk_io_mb_per_sec,
network_io_mb_per_sec,
-- Database performance impact
active_connections_during_backup,
query_response_time_impact_percent,
replication_lag_seconds,
-- Storage utilization
backup_storage_used_gb,
available_storage_gb,
ROUND(
(backup_storage_used_gb / (backup_storage_used_gb + available_storage_gb)) * 100,
1
) as storage_utilization_percent
FROM BACKUP_RESOURCE_MONITORING()
WHERE monitoring_timestamp >= DATE_SUB(NOW(), INTERVAL 1 HOUR)
)
SELECT
-- Current backup status
bp.backup_id,
bp.backup_type,
bp.database_name,
bp.progress_percentage || '%' as progress,
bp.backup_status,
-- Time estimates
bp.elapsed_minutes || ' min elapsed' as duration,
COALESCE(bp.estimated_remaining_minutes || ' min remaining', 'Calculating...') as eta,
-- Performance indicators
bp.throughput_mb_per_minute || ' MB/min' as throughput,
bp.compression_ratio_percent || '% compression' as compression,
-- Quality indicators
bp.error_count as errors,
bp.warning_count as warnings,
bp.total_documents_processed as documents,
-- Resource impact
ru.cpu_usage_percent || '%' as cpu_usage,
ru.memory_usage_mb || 'MB' as memory_usage,
ru.query_response_time_impact_percent || '% slower' as db_impact,
ru.storage_utilization_percent || '%' as storage_used,
-- Health assessment
CASE
WHEN bp.error_count > 0 THEN 'Errors Detected'
WHEN ru.cpu_usage_percent > 80 THEN 'High CPU Usage'
WHEN ru.query_response_time_impact_percent > 20 THEN 'High DB Impact'
WHEN bp.throughput_mb_per_minute < 10 THEN 'Low Throughput'
WHEN ru.storage_utilization_percent > 90 THEN 'Storage Critical'
ELSE 'Healthy'
END as health_status,
-- Recommendations
CASE
WHEN bp.throughput_mb_per_minute < 10 THEN 'Consider increasing batch size or parallel operations'
WHEN ru.cpu_usage_percent > 80 THEN 'Reduce concurrent operations or backup during off-peak hours'
WHEN ru.query_response_time_impact_percent > 20 THEN 'Schedule backup during maintenance window'
WHEN ru.storage_utilization_percent > 90 THEN 'Archive old backups or increase storage capacity'
WHEN bp.progress_percentage > 95 THEN 'Backup nearing completion, prepare for verification'
ELSE 'Backup proceeding normally'
END as recommendation
FROM backup_progress bp
LEFT JOIN resource_utilization ru ON bp.backup_id = ru.backup_id
ORDER BY bp.backup_start_time DESC;
-- Advanced point-in-time recovery with SQL-style syntax
WITH recovery_analysis AS (
SELECT
target_timestamp,
-- Find optimal backup chain
(SELECT backup_id FROM BACKUP_OPERATIONS
WHERE backup_type = 'full'
AND backup_timestamp <= target_timestamp
AND backup_status = 'completed'
ORDER BY backup_timestamp DESC
LIMIT 1) as base_backup_id,
-- Count incremental backups needed
(SELECT COUNT(*) FROM BACKUP_OPERATIONS
WHERE backup_type = 'incremental'
AND backup_timestamp <= target_timestamp
AND backup_timestamp > (
SELECT backup_timestamp FROM BACKUP_OPERATIONS
WHERE backup_type = 'full'
AND backup_timestamp <= target_timestamp
AND backup_status = 'completed'
ORDER BY backup_timestamp DESC
LIMIT 1
)) as incremental_backups_needed,
-- Estimate recovery time
(SELECT
(backup_duration_minutes * 0.8) + -- Full restore (slightly faster than backup)
(COUNT(*) * 5) + -- Incremental backups (5 min each)
10 -- Oplog application and validation
FROM BACKUP_OPERATIONS
WHERE backup_type = 'incremental'
AND backup_timestamp <= target_timestamp
GROUP BY target_timestamp) as estimated_recovery_minutes,
-- Calculate potential data loss
TIMESTAMPDIFF(SECOND, target_timestamp,
(SELECT MAX(oplog_timestamp) FROM OPLOG_BACKUP_COVERAGE
WHERE oplog_timestamp <= target_timestamp)) as potential_data_loss_seconds
FROM (SELECT TIMESTAMP('2024-01-30 14:30:00') as target_timestamp) t
)
-- Execute point-in-time recovery
EXECUTE RECOVERY point_in_time_recovery WITH OPTIONS (
-- Recovery target
recovery_target_timestamp = '2024-01-30 14:30:00',
recovery_target_name = 'pre_deployment_state',
-- Recovery destination
recovery_database = 'ecommerce_recovery_20240130',
recovery_mode = 'new_database', -- new_database, replace_existing, parallel_validation
-- Recovery scope
include_databases = JSON_ARRAY('ecommerce', 'user_management'),
exclude_collections = JSON_ARRAY('temp_data', 'cache_collection'),
include_system_data = true,
-- Performance and safety options
parallel_recovery_threads = 4,
recovery_batch_size = 500,
validate_recovery = true,
create_recovery_report = true,
-- Backup chain configuration (auto-detected if not specified)
base_backup_id = (SELECT base_backup_id FROM recovery_analysis),
-- Safety and rollback
enable_recovery_rollback = true,
recovery_timeout_minutes = 120,
-- Notification and logging
notify_on_completion = JSON_ARRAY('dba@company.com', 'ops-team@company.com'),
recovery_priority = 'high',
recovery_metadata = JSON_OBJECT(
'requested_by', 'database_admin',
'business_justification', 'Rollback deployment due to data corruption',
'ticket_number', 'INC-2024-0130-001',
'approval_code', 'RECOVERY-AUTH-789'
)
) RETURNING recovery_operation_id, estimated_completion_time, recovery_database_name;
-- Monitor point-in-time recovery progress
WITH recovery_progress AS (
SELECT
recovery_operation_id,
recovery_type,
target_timestamp,
recovery_database,
-- Progress tracking
total_recovery_steps,
completed_recovery_steps,
current_step_description,
ROUND((completed_recovery_steps::numeric / total_recovery_steps) * 100, 2) as progress_percentage,
-- Time analysis
EXTRACT(MINUTES FROM CURRENT_TIMESTAMP - recovery_start_time) as elapsed_minutes,
estimated_total_duration_minutes,
estimated_remaining_minutes,
-- Data recovery metrics
total_collections_to_restore,
collections_restored,
documents_recovered,
oplog_entries_applied,
-- Quality and validation
validation_errors,
consistency_warnings,
recovery_status,
-- Performance metrics
recovery_throughput_mb_per_minute,
current_memory_usage_mb,
current_cpu_usage_percent
FROM ACTIVE_RECOVERY_OPERATIONS()
WHERE recovery_status IN ('initializing', 'restoring', 'applying_oplog', 'validating')
),
-- Recovery validation and integrity checks
recovery_validation AS (
SELECT
recovery_operation_id,
-- Data integrity checks
total_document_count_original,
total_document_count_recovered,
document_count_variance,
-- Index validation
total_indexes_original,
total_indexes_recovered,
index_recreation_success_rate,
-- Consistency validation
referential_integrity_check_status,
data_type_consistency_status,
duplicate_detection_status,
-- Business rule validation
constraint_validation_errors,
business_rule_violations,
-- Performance baseline comparison
query_performance_comparison_percent,
storage_size_comparison_percent,
-- Final validation score
CASE
WHEN document_count_variance = 0
AND index_recreation_success_rate = 100
AND referential_integrity_check_status = 'PASSED'
AND constraint_validation_errors = 0
THEN 'EXCELLENT'
WHEN ABS(document_count_variance) < 0.1
AND index_recreation_success_rate >= 95
AND constraint_validation_errors < 10
THEN 'GOOD'
WHEN ABS(document_count_variance) < 1.0
AND index_recreation_success_rate >= 90
THEN 'ACCEPTABLE'
ELSE 'NEEDS_REVIEW'
END as overall_validation_status
FROM RECOVERY_VALIDATION_RESULTS()
WHERE validation_completed_at >= DATE_SUB(NOW(), INTERVAL 2 HOUR)
)
SELECT
-- Recovery operation overview
rp.recovery_operation_id,
rp.recovery_type,
rp.target_timestamp,
rp.recovery_database,
rp.progress_percentage || '%' as progress,
rp.recovery_status,
-- Timing information
rp.elapsed_minutes || ' min elapsed' as duration,
rp.estimated_remaining_minutes || ' min remaining' as eta,
rp.current_step_description as current_activity,
-- Recovery metrics
rp.collections_restored || '/' || rp.total_collections_to_restore as collections_progress,
FORMAT_NUMBER(rp.documents_recovered) as documents_recovered,
FORMAT_NUMBER(rp.oplog_entries_applied) as oplog_entries,
-- Performance indicators
rp.recovery_throughput_mb_per_minute || ' MB/min' as throughput,
rp.current_memory_usage_mb || ' MB' as memory_usage,
rp.current_cpu_usage_percent || '%' as cpu_usage,
-- Quality metrics
rp.validation_errors as errors,
rp.consistency_warnings as warnings,
-- Validation results (when available)
COALESCE(rv.overall_validation_status, 'IN_PROGRESS') as validation_status,
COALESCE(rv.document_count_variance || '%', 'Calculating...') as data_accuracy,
COALESCE(rv.index_recreation_success_rate || '%', 'Pending...') as index_success,
-- Health and status indicators
CASE
WHEN rp.recovery_status = 'failed' THEN 'Recovery Failed'
WHEN rp.validation_errors > 0 THEN 'Validation Errors Detected'
WHEN rp.current_cpu_usage_percent > 90 THEN 'High Resource Usage'
WHEN rp.progress_percentage > 95 AND rp.recovery_status = 'validating' THEN 'Final Validation'
WHEN rp.recovery_status = 'completed' THEN 'Recovery Completed Successfully'
ELSE 'Recovery In Progress'
END as status_indicator,
-- Recommendations and next steps
CASE
WHEN rp.recovery_status = 'completed' AND rv.overall_validation_status = 'EXCELLENT'
THEN 'Recovery completed successfully. Database ready for use.'
WHEN rp.recovery_status = 'completed' AND rv.overall_validation_status = 'GOOD'
THEN 'Recovery completed. Minor inconsistencies detected, review validation report.'
WHEN rp.recovery_status = 'completed' AND rv.overall_validation_status = 'NEEDS_REVIEW'
THEN 'Recovery completed with issues. Manual review required before production use.'
WHEN rp.validation_errors > 0
THEN 'Validation errors detected. Check recovery logs and consider retry.'
WHEN rp.estimated_remaining_minutes < 10
THEN 'Recovery nearly complete. Prepare for validation phase.'
WHEN rp.recovery_throughput_mb_per_minute < 5
THEN 'Low recovery throughput. Consider resource optimization.'
ELSE 'Recovery progressing normally. Continue monitoring.'
END as recommendations
FROM recovery_progress rp
LEFT JOIN recovery_validation rv ON rp.recovery_operation_id = rv.recovery_operation_id
ORDER BY rp.recovery_start_time DESC;
-- Disaster recovery orchestration dashboard
CREATE VIEW disaster_recovery_dashboard AS
SELECT
-- Current disaster recovery readiness
(SELECT COUNT(*) FROM BACKUP_OPERATIONS
WHERE backup_status = 'completed'
AND backup_timestamp >= DATE_SUB(NOW(), INTERVAL 24 HOUR)) as backups_last_24h,
(SELECT MIN(TIMESTAMPDIFF(HOUR, backup_timestamp, NOW()))
FROM BACKUP_OPERATIONS
WHERE backup_type = 'full' AND backup_status = 'completed') as hours_since_last_full_backup,
(SELECT COUNT(*) FROM BACKUP_OPERATIONS
WHERE backup_type = 'incremental'
AND backup_timestamp >= DATE_SUB(NOW(), INTERVAL 4 HOUR)
AND backup_status = 'completed') as recent_incremental_backups,
-- Recovery capabilities
(SELECT COUNT(*) FROM RECOVERY_TEST_OPERATIONS
WHERE test_timestamp >= DATE_SUB(NOW(), INTERVAL 30 DAY)
AND test_status = 'successful') as successful_recovery_tests_30d,
(SELECT AVG(recovery_duration_minutes) FROM RECOVERY_TEST_OPERATIONS
WHERE test_timestamp >= DATE_SUB(NOW(), INTERVAL 90 DAY)
AND test_status = 'successful') as avg_recovery_time_minutes,
-- RPO/RTO compliance
(SELECT
CASE
WHEN MIN(TIMESTAMPDIFF(MINUTE, backup_timestamp, NOW())) <= 15 THEN 'COMPLIANT'
WHEN MIN(TIMESTAMPDIFF(MINUTE, backup_timestamp, NOW())) <= 30 THEN 'WARNING'
ELSE 'NON_COMPLIANT'
END
FROM BACKUP_OPERATIONS
WHERE backup_status = 'completed') as rpo_compliance_status,
(SELECT
CASE
WHEN avg_recovery_time_minutes <= 30 THEN 'COMPLIANT'
WHEN avg_recovery_time_minutes <= 60 THEN 'WARNING'
ELSE 'NON_COMPLIANT'
END) as rto_compliance_status,
-- Storage and capacity
(SELECT SUM(backup_size_mb) FROM BACKUP_OPERATIONS
WHERE backup_status = 'completed') as total_backup_storage_mb,
(SELECT available_storage_gb FROM STORAGE_CAPACITY_MONITORING
ORDER BY monitoring_timestamp DESC LIMIT 1) as available_storage_gb,
-- System health indicators
(SELECT COUNT(*) FROM ACTIVE_BACKUP_OPERATIONS()) as active_backup_operations,
(SELECT COUNT(*) FROM ACTIVE_RECOVERY_OPERATIONS()) as active_recovery_operations,
-- Alert conditions
JSON_ARRAYAGG(
CASE
WHEN hours_since_last_full_backup > 168 THEN 'Full backup overdue'
WHEN recent_incremental_backups = 0 THEN 'No recent incremental backups'
WHEN successful_recovery_tests_30d = 0 THEN 'No recent recovery testing'
WHEN available_storage_gb < 100 THEN 'Low storage capacity'
WHEN rpo_compliance_status = 'NON_COMPLIANT' THEN 'RPO compliance violation'
WHEN rto_compliance_status = 'NON_COMPLIANT' THEN 'RTO compliance violation'
END
) as active_alerts,
-- Overall disaster recovery readiness score
CASE
WHEN hours_since_last_full_backup <= 24
AND recent_incremental_backups >= 6
AND successful_recovery_tests_30d >= 2
AND rpo_compliance_status = 'COMPLIANT'
AND rto_compliance_status = 'COMPLIANT'
AND available_storage_gb >= 500
THEN 'EXCELLENT'
WHEN hours_since_last_full_backup <= 48
AND recent_incremental_backups >= 3
AND successful_recovery_tests_30d >= 1
AND rpo_compliance_status != 'NON_COMPLIANT'
AND available_storage_gb >= 200
THEN 'GOOD'
WHEN hours_since_last_full_backup <= 168
AND recent_incremental_backups >= 1
AND available_storage_gb >= 100
THEN 'FAIR'
ELSE 'CRITICAL'
END as disaster_recovery_readiness,
NOW() as dashboard_timestamp;
-- QueryLeaf backup and recovery capabilities provide:
-- 1. SQL-familiar backup strategy configuration and execution
-- 2. Real-time backup and recovery progress monitoring
-- 3. Advanced point-in-time recovery with comprehensive validation
-- 4. Disaster recovery orchestration and readiness assessment
-- 5. Performance optimization and resource utilization tracking
-- 6. Comprehensive analytics and compliance reporting
-- 7. Integration with MongoDB's native backup capabilities
-- 8. Enterprise-grade automation and scheduling features
-- 9. Multi-storage tier management and lifecycle policies
-- 10. Complete audit trail and regulatory compliance support
Best Practices for MongoDB Backup and Recovery
Backup Strategy Design
Essential principles for comprehensive data protection:
- 3-2-1 Rule: Maintain 3 copies of data, on 2 different storage types, with 1 offsite copy
- Tiered Storage: Use different storage classes based on access patterns and retention requirements
- Incremental Backups: Implement frequent incremental backups to minimize data loss
- Testing and Validation: Regularly test backup restoration and validate data integrity
- Automation: Automate backup processes to reduce human error and ensure consistency
- Monitoring: Implement comprehensive monitoring for backup success and storage utilization
Recovery Planning
Optimize recovery strategies for business continuity:
- RTO/RPO Definition: Clearly define Recovery Time and Point Objectives for different scenarios
- Recovery Testing: Conduct regular disaster recovery drills and document procedures
- Priority Classification: Classify data and applications by recovery priority
- Documentation: Maintain detailed recovery procedures and contact information
- Cross-Region Strategy: Implement geographic distribution for disaster resilience
- Validation Procedures: Establish data validation protocols for recovered systems
Conclusion
MongoDB's comprehensive backup and recovery capabilities provide enterprise-grade data protection that supports complex disaster recovery scenarios, automated backup workflows, and granular point-in-time recovery operations. By implementing advanced backup strategies with QueryLeaf's familiar SQL interface, organizations can ensure business continuity while maintaining operational simplicity and regulatory compliance.
Key MongoDB backup and recovery benefits include:
- Native Integration: Seamless integration with MongoDB's replica sets and sharding for optimal performance
- Flexible Recovery Options: Point-in-time recovery, selective collection restore, and cross-region disaster recovery
- Automated Workflows: Sophisticated scheduling, retention management, and cloud storage integration
- Performance Optimization: Parallel processing, compression, and incremental backup strategies
- Enterprise Features: Encryption, compliance reporting, and comprehensive audit trails
- Operational Simplicity: Familiar SQL-style backup and recovery commands reduce learning curve
Whether you're protecting financial transaction data, healthcare records, or e-commerce platforms, MongoDB's backup and recovery capabilities with QueryLeaf's enterprise management interface provide the foundation for robust data protection strategies that scale with your organization's growth and compliance requirements.
QueryLeaf Integration: QueryLeaf automatically translates SQL-familiar backup and recovery commands into optimized MongoDB operations, providing familiar scheduling, monitoring, and validation capabilities. Advanced disaster recovery orchestration, compliance reporting, and performance optimization are seamlessly handled through SQL-style interfaces, making enterprise-grade data protection both comprehensive and accessible for database-oriented teams.
The combination of MongoDB's native backup capabilities with SQL-style operational commands makes it an ideal platform for mission-critical applications requiring both sophisticated data protection and familiar administrative workflows, ensuring your backup and recovery strategies remain both effective and maintainable as they evolve to meet changing business requirements.