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                    <pre class="text-sm leading-relaxed text-gray-900 dark:text-gray-100 whitespace-pre-wrap font-mono" data-code-content="0199c676-d3b5-7f28-ad4d-c196eea35fa8">---
model: claude-sonnet-4-0
---

# Database Migration Strategy and Implementation

You are a database migration expert specializing in zero-downtime deployments, data integrity, and multi-database environments. Create comprehensive migration scripts with rollback strategies, validation checks, and performance optimization.

## Context
The user needs help with database migrations that ensure data integrity, minimize downtime, and provide safe rollback options. Focus on production-ready migration strategies that handle edge cases and large datasets.

## Requirements
$ARGUMENTS

## Instructions

### 1. Migration Analysis

Analyze the required database changes:

**Schema Changes**
- **Table Operations**
  - Create new tables
  - Drop unused tables
  - Rename tables
  - Alter table engines/options
  
- **Column Operations**
  - Add columns (nullable vs non-nullable)
  - Drop columns (with data preservation)
  - Rename columns
  - Change data types
  - Modify constraints
  
- **Index Operations**
  - Create indexes (online vs offline)
  - Drop indexes
  - Modify index types
  - Add composite indexes
  
- **Constraint Operations**
  - Foreign keys
  - Unique constraints
  - Check constraints
  - Default values

**Data Migrations**
- **Transformations**
  - Data type conversions
  - Normalization/denormalization
  - Calculated fields
  - Data cleaning
  
- **Relationships**
  - Moving data between tables
  - Splitting/merging tables
  - Creating junction tables
  - Handling orphaned records

### 2. Zero-Downtime Strategy

Implement migrations without service interruption:

**Expand-Contract Pattern**
```sql
-- Phase 1: Expand (backward compatible)
ALTER TABLE users ADD COLUMN email_verified BOOLEAN DEFAULT FALSE;
CREATE INDEX CONCURRENTLY idx_users_email_verified ON users(email_verified);

-- Phase 2: Migrate Data (in batches)
UPDATE users 
SET email_verified = (email_confirmation_token IS NOT NULL)
WHERE id IN (
  SELECT id FROM users 
  WHERE email_verified IS NULL 
  LIMIT 10000
);

-- Phase 3: Contract (after code deployment)
ALTER TABLE users DROP COLUMN email_confirmation_token;
```

**Blue-Green Schema Migration**
```python
# Step 1: Create new schema version
def create_v2_schema():
    &quot;&quot;&quot;
    Create new tables with v2_ prefix
    &quot;&quot;&quot;
    execute(&quot;&quot;&quot;
        CREATE TABLE v2_orders (
            id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
            customer_id UUID NOT NULL,
            total_amount DECIMAL(10,2) NOT NULL,
            status VARCHAR(50) NOT NULL,
            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
            metadata JSONB DEFAULT &#39;{}&#39;
        );
        
        CREATE INDEX idx_v2_orders_customer ON v2_orders(customer_id);
        CREATE INDEX idx_v2_orders_status ON v2_orders(status);
    &quot;&quot;&quot;)

# Step 2: Sync data with dual writes
def enable_dual_writes():
    &quot;&quot;&quot;
    Application writes to both old and new tables
    &quot;&quot;&quot;
    # Trigger-based approach
    execute(&quot;&quot;&quot;
        CREATE OR REPLACE FUNCTION sync_orders_to_v2() 
        RETURNS TRIGGER AS $$
        BEGIN
            INSERT INTO v2_orders (
                id, customer_id, total_amount, status, created_at
            ) VALUES (
                NEW.id, NEW.customer_id, NEW.amount, NEW.state, NEW.created
            ) ON CONFLICT (id) DO UPDATE SET
                total_amount = EXCLUDED.total_amount,
                status = EXCLUDED.status;
            RETURN NEW;
        END;
        $$ LANGUAGE plpgsql;
        
        CREATE TRIGGER sync_orders_trigger
        AFTER INSERT OR UPDATE ON orders
        FOR EACH ROW EXECUTE FUNCTION sync_orders_to_v2();
    &quot;&quot;&quot;)

# Step 3: Backfill historical data
def backfill_data():
    &quot;&quot;&quot;
    Copy historical data in batches
    &quot;&quot;&quot;
    batch_size = 10000
    last_id = None
    
    while True:
        query = &quot;&quot;&quot;
            INSERT INTO v2_orders (
                id, customer_id, total_amount, status, created_at
            )
            SELECT 
                id, customer_id, amount, state, created
            FROM orders
            WHERE ($1::uuid IS NULL OR id &gt; $1)
            ORDER BY id
            LIMIT $2
            ON CONFLICT (id) DO NOTHING
            RETURNING id
        &quot;&quot;&quot;
        
        results = execute(query, [last_id, batch_size])
        if not results:
            break
            
        last_id = results[-1][&#39;id&#39;]
        time.sleep(0.1)  # Prevent overload

# Step 4: Switch reads
# Step 5: Switch writes  
# Step 6: Drop old schema
```

### 3. Migration Scripts

Generate version-controlled migration files:

**SQL Migrations**
```sql
-- migrations/001_add_user_preferences.up.sql
BEGIN;

-- Add new table
CREATE TABLE user_preferences (
    user_id UUID PRIMARY KEY REFERENCES users(id) ON DELETE CASCADE,
    theme VARCHAR(20) DEFAULT &#39;light&#39;,
    language VARCHAR(10) DEFAULT &#39;en&#39;,
    notifications JSONB DEFAULT &#39;{&quot;email&quot;: true, &quot;push&quot;: false}&#39;,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- Add update trigger
CREATE TRIGGER update_user_preferences_updated_at
    BEFORE UPDATE ON user_preferences
    FOR EACH ROW
    EXECUTE FUNCTION update_updated_at_column();

-- Add indexes
CREATE INDEX idx_user_preferences_language ON user_preferences(language);

-- Seed default data
INSERT INTO user_preferences (user_id)
SELECT id FROM users
ON CONFLICT DO NOTHING;

COMMIT;

-- migrations/001_add_user_preferences.down.sql
BEGIN;

DROP TABLE IF EXISTS user_preferences CASCADE;

COMMIT;
```

**Framework Migrations (Rails/Django/Laravel)**
```python
# Django migration
from django.db import migrations, models
import django.contrib.postgres.fields

class Migration(migrations.Migration):
    dependencies = [
        (&#39;app&#39;, &#39;0010_previous_migration&#39;),
    ]

    operations = [
        migrations.CreateModel(
            name=&#39;UserPreferences&#39;,
            fields=[
                (&#39;user&#39;, models.OneToOneField(
                    &#39;User&#39;, 
                    on_delete=models.CASCADE, 
                    primary_key=True
                )),
                (&#39;theme&#39;, models.CharField(
                    max_length=20, 
                    default=&#39;light&#39;
                )),
                (&#39;language&#39;, models.CharField(
                    max_length=10, 
                    default=&#39;en&#39;,
                    db_index=True
                )),
                (&#39;notifications&#39;, models.JSONField(
                    default=dict
                )),
                (&#39;created_at&#39;, models.DateTimeField(
                    auto_now_add=True
                )),
                (&#39;updated_at&#39;, models.DateTimeField(
                    auto_now=True
                )),
            ],
        ),
        
        # Custom SQL for complex operations
        migrations.RunSQL(
            sql=[
                &quot;&quot;&quot;
                -- Forward migration
                UPDATE products 
                SET price_cents = CAST(price * 100 AS INTEGER)
                WHERE price_cents IS NULL;
                &quot;&quot;&quot;,
            ],
            reverse_sql=[
                &quot;&quot;&quot;
                -- Reverse migration
                UPDATE products 
                SET price = CAST(price_cents AS DECIMAL) / 100
                WHERE price IS NULL;
                &quot;&quot;&quot;,
            ],
        ),
    ]
```

### 4. Data Integrity Checks

Implement comprehensive validation:

**Pre-Migration Validation**
```python
def validate_pre_migration():
    &quot;&quot;&quot;
    Check data integrity before migration
    &quot;&quot;&quot;
    checks = []
    
    # Check for NULL values in required fields
    null_check = execute(&quot;&quot;&quot;
        SELECT COUNT(*) as count
        FROM users
        WHERE email IS NULL OR username IS NULL
    &quot;&quot;&quot;)[0][&#39;count&#39;]
    
    if null_check &gt; 0:
        checks.append({
            &#39;check&#39;: &#39;null_values&#39;,
            &#39;status&#39;: &#39;FAILED&#39;,
            &#39;message&#39;: f&#39;{null_check} users with NULL email/username&#39;,
            &#39;action&#39;: &#39;Fix NULL values before migration&#39;
        })
    
    # Check for duplicate values
    duplicate_check = execute(&quot;&quot;&quot;
        SELECT email, COUNT(*) as count
        FROM users
        GROUP BY email
        HAVING COUNT(*) &gt; 1
    &quot;&quot;&quot;)
    
    if duplicate_check:
        checks.append({
            &#39;check&#39;: &#39;duplicates&#39;,
            &#39;status&#39;: &#39;FAILED&#39;, 
            &#39;message&#39;: f&#39;{len(duplicate_check)} duplicate emails found&#39;,
            &#39;action&#39;: &#39;Resolve duplicates before adding unique constraint&#39;
        })
    
    # Check foreign key integrity
    orphan_check = execute(&quot;&quot;&quot;
        SELECT COUNT(*) as count
        FROM orders o
        LEFT JOIN users u ON o.user_id = u.id
        WHERE u.id IS NULL
    &quot;&quot;&quot;)[0][&#39;count&#39;]
    
    if orphan_check &gt; 0:
        checks.append({
            &#39;check&#39;: &#39;orphaned_records&#39;,
            &#39;status&#39;: &#39;WARNING&#39;,
            &#39;message&#39;: f&#39;{orphan_check} orders with non-existent users&#39;,
            &#39;action&#39;: &#39;Clean up orphaned records&#39;
        })
    
    return checks
```

**Post-Migration Validation**
```python
def validate_post_migration():
    &quot;&quot;&quot;
    Verify migration success
    &quot;&quot;&quot;
    validations = []
    
    # Row count validation
    old_count = execute(&quot;SELECT COUNT(*) FROM orders&quot;)[0][&#39;count&#39;]
    new_count = execute(&quot;SELECT COUNT(*) FROM v2_orders&quot;)[0][&#39;count&#39;]
    
    validations.append({
        &#39;check&#39;: &#39;row_count&#39;,
        &#39;expected&#39;: old_count,
        &#39;actual&#39;: new_count,
        &#39;status&#39;: &#39;PASS&#39; if old_count == new_count else &#39;FAIL&#39;
    })
    
    # Checksum validation
    old_checksum = execute(&quot;&quot;&quot;
        SELECT 
            SUM(CAST(amount AS DECIMAL)) as total,
            COUNT(DISTINCT customer_id) as customers
        FROM orders
    &quot;&quot;&quot;)[0]
    
    new_checksum = execute(&quot;&quot;&quot;
        SELECT 
            SUM(total_amount) as total,
            COUNT(DISTINCT customer_id) as customers  
        FROM v2_orders
    &quot;&quot;&quot;)[0]
    
    validations.append({
        &#39;check&#39;: &#39;data_integrity&#39;,
        &#39;status&#39;: &#39;PASS&#39; if old_checksum == new_checksum else &#39;FAIL&#39;,
        &#39;details&#39;: {
            &#39;old&#39;: old_checksum,
            &#39;new&#39;: new_checksum
        }
    })
    
    return validations
```

### 5. Rollback Procedures

Implement safe rollback strategies:

**Automatic Rollback**
```python
class MigrationRunner:
    def __init__(self, migration):
        self.migration = migration
        self.checkpoint = None
        
    def run_with_rollback(self):
        &quot;&quot;&quot;
        Execute migration with automatic rollback on failure
        &quot;&quot;&quot;
        try:
            # Create restore point
            self.checkpoint = self.create_checkpoint()
            
            # Run pre-checks
            pre_checks = self.migration.validate_pre()
            if any(c[&#39;status&#39;] == &#39;FAILED&#39; for c in pre_checks):
                raise MigrationError(&quot;Pre-validation failed&quot;, pre_checks)
            
            # Execute migration
            with transaction.atomic():
                self.migration.forward()
                
                # Run post-checks
                post_checks = self.migration.validate_post()
                if any(c[&#39;status&#39;] == &#39;FAILED&#39; for c in post_checks):
                    raise MigrationError(&quot;Post-validation failed&quot;, post_checks)
                    
            # Clean up checkpoint after success
            self.cleanup_checkpoint()
            
        except Exception as e:
            logger.error(f&quot;Migration failed: {e}&quot;)
            self.rollback()
            raise
            
    def rollback(self):
        &quot;&quot;&quot;
        Restore to checkpoint
        &quot;&quot;&quot;
        if self.checkpoint:
            execute(f&quot;RESTORE DATABASE FROM CHECKPOINT &#39;{self.checkpoint}&#39;&quot;)
```

**Manual Rollback Scripts**
```bash
#!/bin/bash
# rollback_migration.sh

MIGRATION_VERSION=$1
DATABASE=$2

echo &quot;Rolling back migration $MIGRATION_VERSION on $DATABASE&quot;

# Check current version
CURRENT_VERSION=$(psql -d $DATABASE -t -c &quot;SELECT version FROM schema_migrations ORDER BY version DESC LIMIT 1&quot;)

if [ &quot;$CURRENT_VERSION&quot; != &quot;$MIGRATION_VERSION&quot; ]; then
    echo &quot;Error: Current version ($CURRENT_VERSION) doesn&#39;t match rollback version ($MIGRATION_VERSION)&quot;
    exit 1
fi

# Execute rollback
psql -d $DATABASE -f &quot;migrations/${MIGRATION_VERSION}.down.sql&quot;

# Update version table
psql -d $DATABASE -c &quot;DELETE FROM schema_migrations WHERE version = &#39;$MIGRATION_VERSION&#39;&quot;

echo &quot;Rollback completed successfully&quot;
```

### 6. Performance Optimization

Minimize migration impact:

**Batch Processing**
```python
def migrate_large_table(batch_size=10000):
    &quot;&quot;&quot;
    Migrate large tables in batches
    &quot;&quot;&quot;
    total_rows = execute(&quot;SELECT COUNT(*) FROM source_table&quot;)[0][&#39;count&#39;]
    processed = 0
    
    while processed &lt; total_rows:
        # Process batch
        execute(&quot;&quot;&quot;
            INSERT INTO target_table (columns...)
            SELECT columns...
            FROM source_table
            ORDER BY id
            OFFSET %s
            LIMIT %s
            ON CONFLICT DO NOTHING
        &quot;&quot;&quot;, [processed, batch_size])
        
        processed += batch_size
        
        # Progress tracking
        progress = (processed / total_rows) * 100
        logger.info(f&quot;Migration progress: {progress:.1f}%&quot;)
        
        # Prevent overload
        time.sleep(0.5)
```

**Index Management**
```sql
-- Drop indexes before bulk insert
ALTER TABLE large_table DROP INDEX idx_column1;
ALTER TABLE large_table DROP INDEX idx_column2;

-- Bulk insert
INSERT INTO large_table SELECT * FROM temp_data;

-- Recreate indexes concurrently
CREATE INDEX CONCURRENTLY idx_column1 ON large_table(column1);
CREATE INDEX CONCURRENTLY idx_column2 ON large_table(column2);
```

### 7. NoSQL and Cross-Platform Migration Support

Handle modern database migrations across SQL, NoSQL, and hybrid environments:

**Advanced Multi-Database Migration Framework**
```python
from abc import ABC, abstractmethod
from typing import Dict, List, Any, Optional
import asyncio
from dataclasses import dataclass

@dataclass
class MigrationOperation:
    operation_type: str
    collection_or_table: str
    data: Dict[str, Any]
    conditions: Optional[Dict[str, Any]] = None
    batch_size: int = 1000

class DatabaseAdapter(ABC):
    @abstractmethod
    async def connect(self, connection_string: str):
        pass
    
    @abstractmethod
    async def execute_migration(self, operation: MigrationOperation):
        pass
    
    @abstractmethod
    async def validate_migration(self, operation: MigrationOperation) -&gt; bool:
        pass
    
    @abstractmethod
    async def rollback_migration(self, operation: MigrationOperation):
        pass

class MongoDBAdapter(DatabaseAdapter):
    def __init__(self):
        self.client = None
        self.db = None
    
    async def connect(self, connection_string: str):
        from motor.motor_asyncio import AsyncIOMotorClient
        self.client = AsyncIOMotorClient(connection_string)
        self.db = self.client.get_default_database()
    
    async def execute_migration(self, operation: MigrationOperation):
        collection = self.db[operation.collection_or_table]
        
        if operation.operation_type == &#39;add_field&#39;:
            await self._add_field(collection, operation)
        elif operation.operation_type == &#39;rename_field&#39;:
            await self._rename_field(collection, operation)
        elif operation.operation_type == &#39;migrate_data&#39;:
            await self._migrate_data(collection, operation)
        elif operation.operation_type == &#39;create_index&#39;:
            await self._create_index(collection, operation)
        elif operation.operation_type == &#39;schema_validation&#39;:
            await self._add_schema_validation(collection, operation)
    
    async def _add_field(self, collection, operation):
        &quot;&quot;&quot;Add new field to all documents&quot;&quot;&quot;
        field_name = operation.data[&#39;field_name&#39;]
        default_value = operation.data.get(&#39;default_value&#39;)
        
        # Add field to documents that don&#39;t have it
        result = await collection.update_many(
            {field_name: {&quot;$exists&quot;: False}},
            {&quot;$set&quot;: {field_name: default_value}}
        )
        
        return {
            &#39;matched_count&#39;: result.matched_count,
            &#39;modified_count&#39;: result.modified_count
        }
    
    async def _rename_field(self, collection, operation):
        &quot;&quot;&quot;Rename field across all documents&quot;&quot;&quot;
        old_name = operation.data[&#39;old_name&#39;]
        new_name = operation.data[&#39;new_name&#39;]
        
        result = await collection.update_many(
            {old_name: {&quot;$exists&quot;: True}},
            {&quot;$rename&quot;: {old_name: new_name}}
        )
        
        return {
            &#39;matched_count&#39;: result.matched_count,
            &#39;modified_count&#39;: result.modified_count
        }
    
    async def _migrate_data(self, collection, operation):
        &quot;&quot;&quot;Transform data during migration&quot;&quot;&quot;
        pipeline = operation.data[&#39;pipeline&#39;]
        
        # Use aggregation pipeline for complex transformations
        cursor = collection.aggregate([
            {&quot;$match&quot;: operation.conditions or {}},
            *pipeline,
            {&quot;$merge&quot;: {
                &quot;into&quot;: operation.collection_or_table,
                &quot;on&quot;: &quot;_id&quot;,
                &quot;whenMatched&quot;: &quot;replace&quot;
            }}
        ])
        
        return [doc async for doc in cursor]
    
    async def _add_schema_validation(self, collection, operation):
        &quot;&quot;&quot;Add JSON schema validation to collection&quot;&quot;&quot;
        schema = operation.data[&#39;schema&#39;]
        
        await self.db.command({
            &quot;collMod&quot;: operation.collection_or_table,
            &quot;validator&quot;: {&quot;$jsonSchema&quot;: schema},
            &quot;validationLevel&quot;: &quot;strict&quot;,
            &quot;validationAction&quot;: &quot;error&quot;
        })

class DynamoDBAdapter(DatabaseAdapter):
    def __init__(self):
        self.dynamodb = None
    
    async def connect(self, connection_string: str):
        import boto3
        self.dynamodb = boto3.resource(&#39;dynamodb&#39;)
    
    async def execute_migration(self, operation: MigrationOperation):
        table = self.dynamodb.Table(operation.collection_or_table)
        
        if operation.operation_type == &#39;add_gsi&#39;:
            await self._add_global_secondary_index(table, operation)
        elif operation.operation_type == &#39;migrate_data&#39;:
            await self._migrate_table_data(table, operation)
        elif operation.operation_type == &#39;update_capacity&#39;:
            await self._update_capacity(table, operation)
    
    async def _add_global_secondary_index(self, table, operation):
        &quot;&quot;&quot;Add Global Secondary Index&quot;&quot;&quot;
        gsi_spec = operation.data[&#39;gsi_specification&#39;]
        
        table.update(
            GlobalSecondaryIndexUpdates=[
                {
                    &#39;Create&#39;: gsi_spec
                }
            ]
        )
    
    async def _migrate_table_data(self, table, operation):
        &quot;&quot;&quot;Migrate data between DynamoDB tables&quot;&quot;&quot;
        scan_kwargs = {
            &#39;ProjectionExpression&#39;: operation.data.get(&#39;projection&#39;),
            &#39;FilterExpression&#39;: operation.conditions
        }
        
        target_table = self.dynamodb.Table(operation.data[&#39;target_table&#39;])
        
        # Scan source table and write to target
        while True:
            response = table.scan(**scan_kwargs)
            
            # Transform and write items
            with target_table.batch_writer() as batch:
                for item in response[&#39;Items&#39;]:
                    transformed_item = self._transform_item(item, operation.data[&#39;transformation&#39;])
                    batch.put_item(Item=transformed_item)
            
            if &#39;LastEvaluatedKey&#39; not in response:
                break
            scan_kwargs[&#39;ExclusiveStartKey&#39;] = response[&#39;LastEvaluatedKey&#39;]

class CassandraAdapter(DatabaseAdapter):
    def __init__(self):
        self.session = None
    
    async def connect(self, connection_string: str):
        from cassandra.cluster import Cluster
        from cassandra.auth import PlainTextAuthProvider
        
        # Parse connection string for auth
        cluster = Cluster([&#39;127.0.0.1&#39;])
        self.session = cluster.connect()
    
    async def execute_migration(self, operation: MigrationOperation):
        if operation.operation_type == &#39;add_column&#39;:
            await self._add_column(operation)
        elif operation.operation_type == &#39;create_materialized_view&#39;:
            await self._create_materialized_view(operation)
        elif operation.operation_type == &#39;migrate_data&#39;:
            await self._migrate_data(operation)
    
    async def _add_column(self, operation):
        &quot;&quot;&quot;Add column to Cassandra table&quot;&quot;&quot;
        table = operation.collection_or_table
        column_name = operation.data[&#39;column_name&#39;]
        column_type = operation.data[&#39;column_type&#39;]
        
        cql = f&quot;ALTER TABLE {table} ADD {column_name} {column_type}&quot;
        self.session.execute(cql)
    
    async def _create_materialized_view(self, operation):
        &quot;&quot;&quot;Create materialized view for denormalization&quot;&quot;&quot;
        view_spec = operation.data[&#39;view_specification&#39;]
        self.session.execute(view_spec)

class CrossPlatformMigrator:
    def __init__(self):
        self.adapters = {
            &#39;postgresql&#39;: PostgreSQLAdapter(),
            &#39;mysql&#39;: MySQLAdapter(),
            &#39;mongodb&#39;: MongoDBAdapter(),
            &#39;dynamodb&#39;: DynamoDBAdapter(),
            &#39;cassandra&#39;: CassandraAdapter(),
            &#39;redis&#39;: RedisAdapter(),
            &#39;elasticsearch&#39;: ElasticsearchAdapter()
        }
    
    async def migrate_between_platforms(self, source_config, target_config, migration_spec):
        &quot;&quot;&quot;Migrate data between different database platforms&quot;&quot;&quot;
        source_adapter = self.adapters[source_config[&#39;type&#39;]]
        target_adapter = self.adapters[target_config[&#39;type&#39;]]
        
        await source_adapter.connect(source_config[&#39;connection_string&#39;])
        await target_adapter.connect(target_config[&#39;connection_string&#39;])
        
        # Execute migration plan
        for step in migration_spec[&#39;steps&#39;]:
            if step[&#39;type&#39;] == &#39;extract&#39;:
                data = await self._extract_data(source_adapter, step)
            elif step[&#39;type&#39;] == &#39;transform&#39;:
                data = await self._transform_data(data, step)
            elif step[&#39;type&#39;] == &#39;load&#39;:
                await self._load_data(target_adapter, data, step)
    
    async def _extract_data(self, adapter, step):
        &quot;&quot;&quot;Extract data from source database&quot;&quot;&quot;
        extraction_op = MigrationOperation(
            operation_type=&#39;extract&#39;,
            collection_or_table=step[&#39;source_table&#39;],
            data=step.get(&#39;extraction_params&#39;, {}),
            conditions=step.get(&#39;conditions&#39;),
            batch_size=step.get(&#39;batch_size&#39;, 1000)
        )
        
        return await adapter.execute_migration(extraction_op)
    
    async def _transform_data(self, data, step):
        &quot;&quot;&quot;Transform data between formats&quot;&quot;&quot;
        transformation_rules = step[&#39;transformation_rules&#39;]
        
        transformed_data = []
        for record in data:
            transformed_record = {}
            
            for target_field, source_mapping in transformation_rules.items():
                if isinstance(source_mapping, str):
                    # Simple field mapping
                    transformed_record[target_field] = record.get(source_mapping)
                elif isinstance(source_mapping, dict):
                    # Complex transformation
                    if source_mapping[&#39;type&#39;] == &#39;function&#39;:
                        func = source_mapping[&#39;function&#39;]
                        args = [record.get(arg) for arg in source_mapping[&#39;args&#39;]]
                        transformed_record[target_field] = func(*args)
                    elif source_mapping[&#39;type&#39;] == &#39;concatenate&#39;:
                        fields = source_mapping[&#39;fields&#39;]
                        separator = source_mapping.get(&#39;separator&#39;, &#39; &#39;)
                        values = [str(record.get(field, &#39;&#39;)) for field in fields]
                        transformed_record[target_field] = separator.join(values)
            
            transformed_data.append(transformed_record)
        
        return transformed_data
    
    async def _load_data(self, adapter, data, step):
        &quot;&quot;&quot;Load data into target database&quot;&quot;&quot;
        load_op = MigrationOperation(
            operation_type=&#39;load&#39;,
            collection_or_table=step[&#39;target_table&#39;],
            data={&#39;records&#39;: data},
            batch_size=step.get(&#39;batch_size&#39;, 1000)
        )
        
        return await adapter.execute_migration(load_op)

# Example usage
async def migrate_sql_to_nosql():
    &quot;&quot;&quot;Example: Migrate from PostgreSQL to MongoDB&quot;&quot;&quot;
    migrator = CrossPlatformMigrator()
    
    source_config = {
        &#39;type&#39;: &#39;postgresql&#39;,
        &#39;connection_string&#39;: &#39;postgresql://user:pass@localhost/db&#39;
    }
    
    target_config = {
        &#39;type&#39;: &#39;mongodb&#39;,
        &#39;connection_string&#39;: &#39;mongodb://localhost:27017/db&#39;
    }
    
    migration_spec = {
        &#39;steps&#39;: [
            {
                &#39;type&#39;: &#39;extract&#39;,
                &#39;source_table&#39;: &#39;users&#39;,
                &#39;conditions&#39;: {&#39;active&#39;: True},
                &#39;batch_size&#39;: 5000
            },
            {
                &#39;type&#39;: &#39;transform&#39;,
                &#39;transformation_rules&#39;: {
                    &#39;_id&#39;: &#39;id&#39;,
                    &#39;full_name&#39;: {
                        &#39;type&#39;: &#39;concatenate&#39;,
                        &#39;fields&#39;: [&#39;first_name&#39;, &#39;last_name&#39;],
                        &#39;separator&#39;: &#39; &#39;
                    },
                    &#39;metadata&#39;: {
                        &#39;type&#39;: &#39;function&#39;,
                        &#39;function&#39;: lambda created, updated: {
                            &#39;created_at&#39;: created,
                            &#39;updated_at&#39;: updated
                        },
                        &#39;args&#39;: [&#39;created_at&#39;, &#39;updated_at&#39;]
                    }
                }
            },
            {
                &#39;type&#39;: &#39;load&#39;,
                &#39;target_table&#39;: &#39;users&#39;,
                &#39;batch_size&#39;: 1000
            }
        ]
    }
    
    await migrator.migrate_between_platforms(source_config, target_config, migration_spec)
```

### 8. Modern Migration Tools and Change Data Capture

Integrate with enterprise migration tools and real-time sync:

**Atlas Schema Migrations (MongoDB)**
```javascript
// atlas-migration.js
const { MongoClient } = require(&#39;mongodb&#39;);

class AtlasMigration {
    constructor(connectionString) {
        this.client = new MongoClient(connectionString);
        this.migrations = new Map();
    }
    
    register(version, migration) {
        this.migrations.set(version, migration);
    }
    
    async migrate() {
        await this.client.connect();
        const db = this.client.db();
        
        // Get current version
        const versionsCollection = db.collection(&#39;schema_versions&#39;);
        const currentVersion = await versionsCollection
            .findOne({}, { sort: { version: -1 } });
        
        const startVersion = currentVersion?.version || 0;
        
        // Run pending migrations
        for (const [version, migration] of this.migrations) {
            if (version &gt; startVersion) {
                console.log(`Running migration ${version}`);
                
                const session = this.client.startSession();
                
                try {
                    await session.withTransaction(async () =&gt; {
                        await migration.up(db, session);
                        await versionsCollection.insertOne({
                            version,
                            applied_at: new Date(),
                            checksum: migration.checksum
                        });
                    });
                } catch (error) {
                    console.error(`Migration ${version} failed:`, error);
                    if (migration.down) {
                        await migration.down(db, session);
                    }
                    throw error;
                } finally {
                    await session.endSession();
                }
            }
        }
    }
}

// Example MongoDB schema migration
const migration_001 = {
    checksum: &#39;sha256:abc123...&#39;,
    
    async up(db, session) {
        // Add new field to existing documents
        await db.collection(&#39;users&#39;).updateMany(
            { email_verified: { $exists: false } },
            { 
                $set: { 
                    email_verified: false,
                    verification_token: null,
                    verification_expires: null
                }
            },
            { session }
        );
        
        // Create new index
        await db.collection(&#39;users&#39;).createIndex(
            { email_verified: 1, verification_expires: 1 },
            { session }
        );
        
        // Add schema validation
        await db.command({
            collMod: &#39;users&#39;,
            validator: {
                $jsonSchema: {
                    bsonType: &#39;object&#39;,
                    required: [&#39;email&#39;, &#39;email_verified&#39;],
                    properties: {
                        email: { bsonType: &#39;string&#39; },
                        email_verified: { bsonType: &#39;bool&#39; },
                        verification_token: { 
                            bsonType: [&#39;string&#39;, &#39;null&#39;] 
                        }
                    }
                }
            }
        }, { session });
    },
    
    async down(db, session) {
        // Remove schema validation
        await db.command({
            collMod: &#39;users&#39;,
            validator: {}
        }, { session });
        
        // Drop index
        await db.collection(&#39;users&#39;).dropIndex(
            { email_verified: 1, verification_expires: 1 },
            { session }
        );
        
        // Remove fields
        await db.collection(&#39;users&#39;).updateMany(
            {},
            { 
                $unset: {
                    email_verified: &#39;&#39;,
                    verification_token: &#39;&#39;,
                    verification_expires: &#39;&#39;
                }
            },
            { session }
        );
    }
};
```

**Change Data Capture (CDC) for Real-time Sync**
```python
# cdc-migration.py
import asyncio
from kafka import KafkaConsumer, KafkaProducer
from confluent_kafka.schema_registry import SchemaRegistryClient
from confluent_kafka.schema_registry.avro import AvroSerializer
import json

class CDCMigrationManager:
    def __init__(self, config):
        self.config = config
        self.consumer = None
        self.producer = None
        self.schema_registry = None
        self.active_migrations = {}
    
    async def setup_cdc_pipeline(self):
        &quot;&quot;&quot;Setup Change Data Capture pipeline&quot;&quot;&quot;
        # Kafka consumer for CDC events
        self.consumer = KafkaConsumer(
            &#39;database.changes&#39;,
            bootstrap_servers=self.config[&#39;kafka_brokers&#39;],
            auto_offset_reset=&#39;earliest&#39;,
            enable_auto_commit=True,
            group_id=&#39;migration-consumer&#39;,
            value_deserializer=lambda m: json.loads(m.decode(&#39;utf-8&#39;))
        )
        
        # Kafka producer for processed events
        self.producer = KafkaProducer(
            bootstrap_servers=self.config[&#39;kafka_brokers&#39;],
            value_serializer=lambda v: json.dumps(v).encode(&#39;utf-8&#39;)
        )
        
        # Schema registry for data validation
        self.schema_registry = SchemaRegistryClient({
            &#39;url&#39;: self.config[&#39;schema_registry_url&#39;]
        })
    
    async def process_cdc_events(self):
        &quot;&quot;&quot;Process CDC events and apply to target databases&quot;&quot;&quot;
        for message in self.consumer:
            event = message.value
            
            # Parse CDC event
            operation = event[&#39;operation&#39;]  # INSERT, UPDATE, DELETE
            table = event[&#39;table&#39;]
            data = event[&#39;data&#39;]
            
            # Check if this table has active migration
            if table in self.active_migrations:
                migration_config = self.active_migrations[table]
                await self.apply_migration_transformation(event, migration_config)
            else:
                # Standard replication
                await self.replicate_change(event)
    
    async def apply_migration_transformation(self, event, migration_config):
        &quot;&quot;&quot;Apply data transformation during migration&quot;&quot;&quot;
        transformation_rules = migration_config[&#39;transformation_rules&#39;]
        target_tables = migration_config[&#39;target_tables&#39;]
        
        # Transform data according to migration rules
        transformed_data = {}
        for target_field, rule in transformation_rules.items():
            if isinstance(rule, str):
                # Simple field mapping
                transformed_data[target_field] = event[&#39;data&#39;].get(rule)
            elif isinstance(rule, dict):
                # Complex transformation
                if rule[&#39;type&#39;] == &#39;function&#39;:
                    func_name = rule[&#39;function&#39;]
                    func = getattr(self, f&#39;transform_{func_name}&#39;)
                    args = [event[&#39;data&#39;].get(arg) for arg in rule[&#39;args&#39;]]
                    transformed_data[target_field] = func(*args)
        
        # Apply to target tables
        for target_table in target_tables:
            await self.apply_to_target(target_table, event[&#39;operation&#39;], transformed_data)
    
    async def setup_debezium_connector(self, source_db_config):
        &quot;&quot;&quot;Configure Debezium for CDC&quot;&quot;&quot;
        connector_config = {
            &quot;name&quot;: f&quot;migration-connector-{source_db_config[&#39;name&#39;]}&quot;,
            &quot;config&quot;: {
                &quot;connector.class&quot;: &quot;io.debezium.connector.postgresql.PostgresConnector&quot;,
                &quot;database.hostname&quot;: source_db_config[&#39;host&#39;],
                &quot;database.port&quot;: source_db_config[&#39;port&#39;],
                &quot;database.user&quot;: source_db_config[&#39;user&#39;],
                &quot;database.password&quot;: source_db_config[&#39;password&#39;],
                &quot;database.dbname&quot;: source_db_config[&#39;database&#39;],
                &quot;database.server.name&quot;: source_db_config[&#39;name&#39;],
                &quot;table.include.list&quot;: &quot;,&quot;.join(source_db_config[&#39;tables&#39;]),
                &quot;plugin.name&quot;: &quot;pgoutput&quot;,
                &quot;slot.name&quot;: f&quot;migration_slot_{source_db_config[&#39;name&#39;]}&quot;,
                &quot;publication.name&quot;: f&quot;migration_pub_{source_db_config[&#39;name&#39;]}&quot;,
                &quot;transforms&quot;: &quot;route&quot;,
                &quot;transforms.route.type&quot;: &quot;org.apache.kafka.connect.transforms.RegexRouter&quot;,
                &quot;transforms.route.regex&quot;: &quot;([^.]+)\.([^.]+)\.([^.]+)&quot;,
                &quot;transforms.route.replacement&quot;: &quot;database.changes&quot;
            }
        }
        
        # Submit connector to Kafka Connect
        import requests
        response = requests.post(
            f&quot;{self.config[&#39;kafka_connect_url&#39;]}/connectors&quot;,
            json=connector_config,
            headers={&#39;Content-Type&#39;: &#39;application/json&#39;}
        )
        
        if response.status_code != 201:
            raise Exception(f&quot;Failed to create connector: {response.text}&quot;)
```

**Advanced Monitoring and Observability**
```python
class EnterpriseeMigrationMonitor:
    def __init__(self, config):
        self.config = config
        self.metrics_client = self.setup_metrics_client()
        self.alerting_client = self.setup_alerting_client()
        self.migration_state = {
            &#39;current_migrations&#39;: {},
            &#39;completed_migrations&#39;: {},
            &#39;failed_migrations&#39;: {}
        }
    
    def setup_metrics_client(self):
        &quot;&quot;&quot;Setup Prometheus/Datadog metrics client&quot;&quot;&quot;
        from prometheus_client import Counter, Gauge, Histogram, CollectorRegistry
        
        registry = CollectorRegistry()
        
        self.metrics = {
            &#39;migration_duration&#39;: Histogram(
                &#39;migration_duration_seconds&#39;,
                &#39;Time spent on migration&#39;,
                [&#39;migration_id&#39;, &#39;source_db&#39;, &#39;target_db&#39;],
                registry=registry
            ),
            &#39;rows_migrated&#39;: Counter(
                &#39;migration_rows_total&#39;,
                &#39;Total rows migrated&#39;,
                [&#39;migration_id&#39;, &#39;table_name&#39;],
                registry=registry
            ),
            &#39;migration_errors&#39;: Counter(
                &#39;migration_errors_total&#39;,
                &#39;Total migration errors&#39;,
                [&#39;migration_id&#39;, &#39;error_type&#39;],
                registry=registry
            ),
            &#39;active_migrations&#39;: Gauge(
                &#39;active_migrations_count&#39;,
                &#39;Number of active migrations&#39;,
                registry=registry
            ),
            &#39;data_lag&#39;: Gauge(
                &#39;migration_data_lag_seconds&#39;,
                &#39;Data lag between source and target&#39;,
                [&#39;migration_id&#39;],
                registry=registry
            )
        }
        
        return registry
    
    async def track_migration_progress(self, migration_id):
        &quot;&quot;&quot;Real-time migration progress tracking&quot;&quot;&quot;
        migration = self.migration_state[&#39;current_migrations&#39;][migration_id]
        
        while migration[&#39;status&#39;] == &#39;running&#39;:
            # Calculate progress metrics
            progress_stats = await self.calculate_progress_stats(migration)
            
            # Update Prometheus metrics
            self.metrics[&#39;rows_migrated&#39;].labels(
                migration_id=migration_id,
                table_name=migration[&#39;table&#39;]
            ).inc(progress_stats[&#39;rows_processed_delta&#39;])
            
            self.metrics[&#39;data_lag&#39;].labels(
                migration_id=migration_id
            ).set(progress_stats[&#39;lag_seconds&#39;])
            
            # Check for anomalies
            await self.detect_migration_anomalies(migration_id, progress_stats)
            
            # Generate alerts if needed
            await self.check_alert_conditions(migration_id, progress_stats)
            
            await asyncio.sleep(30)  # Check every 30 seconds
    
    async def detect_migration_anomalies(self, migration_id, stats):
        &quot;&quot;&quot;AI-powered anomaly detection for migrations&quot;&quot;&quot;
        # Simple statistical anomaly detection
        if stats[&#39;rows_per_second&#39;] &lt; stats[&#39;expected_rows_per_second&#39;] * 0.5:
            await self.trigger_alert(
                &#39;migration_slow&#39;,
                f&quot;Migration {migration_id} is running slower than expected&quot;,
                {&#39;stats&#39;: stats}
            )
        
        if stats[&#39;error_rate&#39;] &gt; 0.01:  # 1% error rate threshold
            await self.trigger_alert(
                &#39;migration_high_error_rate&#39;,
                f&quot;Migration {migration_id} has high error rate: {stats[&#39;error_rate&#39;]}&quot;,
                {&#39;stats&#39;: stats}
            )
        
        if stats[&#39;memory_usage&#39;] &gt; 0.8:  # 80% memory usage
            await self.trigger_alert(
                &#39;migration_high_memory&#39;,
                f&quot;Migration {migration_id} is using high memory: {stats[&#39;memory_usage&#39;]}&quot;,
                {&#39;stats&#39;: stats}
            )
    
    async def setup_migration_dashboard(self):
        &quot;&quot;&quot;Setup Grafana dashboard for migration monitoring&quot;&quot;&quot;
        dashboard_config = {
            &quot;dashboard&quot;: {
                &quot;title&quot;: &quot;Database Migration Monitoring&quot;,
                &quot;panels&quot;: [
                    {
                        &quot;title&quot;: &quot;Migration Progress&quot;,
                        &quot;type&quot;: &quot;graph&quot;,
                        &quot;targets&quot;: [
                            {
                                &quot;expr&quot;: &quot;rate(migration_rows_total[5m])&quot;,
                                &quot;legendFormat&quot;: &quot;{{migration_id}} - {{table_name}}&quot;
                            }
                        ]
                    },
                    {
                        &quot;title&quot;: &quot;Data Lag&quot;,
                        &quot;type&quot;: &quot;singlestat&quot;,
                        &quot;targets&quot;: [
                            {
                                &quot;expr&quot;: &quot;migration_data_lag_seconds&quot;,
                                &quot;legendFormat&quot;: &quot;Lag (seconds)&quot;
                            }
                        ]
                    },
                    {
                        &quot;title&quot;: &quot;Error Rate&quot;,
                        &quot;type&quot;: &quot;graph&quot;,
                        &quot;targets&quot;: [
                            {
                                &quot;expr&quot;: &quot;rate(migration_errors_total[5m])&quot;,
                                &quot;legendFormat&quot;: &quot;{{error_type}}&quot;
                            }
                        ]
                    },
                    {
                        &quot;title&quot;: &quot;Migration Duration&quot;,
                        &quot;type&quot;: &quot;heatmap&quot;,
                        &quot;targets&quot;: [
                            {
                                &quot;expr&quot;: &quot;migration_duration_seconds&quot;,
                                &quot;legendFormat&quot;: &quot;Duration&quot;
                            }
                        ]
                    }
                ]
            }
        }
        
        # Submit dashboard to Grafana API
        import requests
        response = requests.post(
            f&quot;{self.config[&#39;grafana_url&#39;]}/api/dashboards/db&quot;,
            json=dashboard_config,
            headers={
                &#39;Authorization&#39;: f&quot;Bearer {self.config[&#39;grafana_token&#39;]}&quot;,
                &#39;Content-Type&#39;: &#39;application/json&#39;
            }
        )
        
        return response.json()
```

### 9. Event Sourcing and CQRS Migrations

Handle event-driven architecture migrations:

**Event Store Migration Strategy**
```python
class EventStoreMigrator:
    def __init__(self, event_store_config):
        self.event_store = EventStore(event_store_config)
        self.event_transformers = {}
        self.aggregate_rebuilders = {}
    
    def register_event_transformer(self, event_type, transformer):
        &quot;&quot;&quot;Register transformation for specific event type&quot;&quot;&quot;
        self.event_transformers[event_type] = transformer
    
    def register_aggregate_rebuilder(self, aggregate_type, rebuilder):
        &quot;&quot;&quot;Register rebuilder for aggregate snapshots&quot;&quot;&quot;
        self.aggregate_rebuilders[aggregate_type] = rebuilder
    
    async def migrate_events(self, from_version, to_version):
        &quot;&quot;&quot;Migrate events from one schema version to another&quot;&quot;&quot;
        # Get all events that need migration
        events_cursor = self.event_store.get_events_by_version_range(
            from_version, to_version
        )
        
        migrated_events = []
        
        async for event in events_cursor:
            if event.event_type in self.event_transformers:
                transformer = self.event_transformers[event.event_type]
                migrated_event = await transformer.transform(event)
                migrated_events.append(migrated_event)
            else:
                # No transformation needed
                migrated_events.append(event)
        
        # Write migrated events to new stream
        await self.event_store.append_events(
            f&quot;migration-{to_version}&quot;,
            migrated_events
        )
        
        # Rebuild aggregates with new events
        await self.rebuild_aggregates(migrated_events)
    
    async def rebuild_aggregates(self, events):
        &quot;&quot;&quot;Rebuild aggregate snapshots from migrated events&quot;&quot;&quot;
        aggregates_to_rebuild = set()
        
        for event in events:
            aggregates_to_rebuild.add(event.aggregate_id)
        
        for aggregate_id in aggregates_to_rebuild:
            aggregate_type = self.get_aggregate_type(aggregate_id)
            
            if aggregate_type in self.aggregate_rebuilders:
                rebuilder = self.aggregate_rebuilders[aggregate_type]
                await rebuilder.rebuild(aggregate_id)

# Example event transformation
class UserEventTransformer:
    async def transform(self, event):
        &quot;&quot;&quot;Transform UserCreated event from v1 to v2&quot;&quot;&quot;
        if event.event_type == &#39;UserCreated&#39; and event.version == 1:
            # v1 had separate first_name and last_name
            # v2 uses full_name
            old_data = event.data
            new_data = {
                &#39;user_id&#39;: old_data[&#39;user_id&#39;],
                &#39;full_name&#39;: f&quot;{old_data[&#39;first_name&#39;]} {old_data[&#39;last_name&#39;]}&quot;,
                &#39;email&#39;: old_data[&#39;email&#39;],
                &#39;created_at&#39;: old_data[&#39;created_at&#39;]
            }
            
            return Event(
                event_id=event.event_id,
                event_type=&#39;UserCreated&#39;,
                aggregate_id=event.aggregate_id,
                version=2,
                data=new_data,
                metadata=event.metadata
            )
        
        return event
```

### 10. Cloud Database Migration Automation

Automate cloud database migrations with infrastructure as code:

**AWS Database Migration with CDK**
```typescript
// aws-db-migration.ts
import * as cdk from &#39;aws-cdk-lib&#39;;
import * as dms from &#39;aws-cdk-lib/aws-dms&#39;;
import * as rds from &#39;aws-cdk-lib/aws-rds&#39;;
import * as ec2 from &#39;aws-cdk-lib/aws-ec2&#39;;
import * as lambda from &#39;aws-cdk-lib/aws-lambda&#39;;
import * as stepfunctions from &#39;aws-cdk-lib/aws-stepfunctions&#39;;
import * as sfnTasks from &#39;aws-cdk-lib/aws-stepfunctions-tasks&#39;;

export class DatabaseMigrationStack extends cdk.Stack {
    constructor(scope: cdk.App, id: string, props?: cdk.StackProps) {
        super(scope, id, props);
        
        // Create VPC for migration
        const vpc = new ec2.Vpc(this, &#39;MigrationVPC&#39;, {
            maxAzs: 2,
            subnetConfiguration: [
                {
                    cidrMask: 24,
                    name: &#39;private&#39;,
                    subnetType: ec2.SubnetType.PRIVATE_WITH_EGRESS
                },
                {
                    cidrMask: 24,
                    name: &#39;public&#39;,
                    subnetType: ec2.SubnetType.PUBLIC
                }
            ]
        });
        
        // DMS Replication Instance
        const replicationInstance = new dms.CfnReplicationInstance(this, &#39;ReplicationInstance&#39;, {
            replicationInstanceClass: &#39;dms.t3.medium&#39;,
            replicationInstanceIdentifier: &#39;migration-instance&#39;,
            allocatedStorage: 100,
            autoMinorVersionUpgrade: true,
            multiAz: false,
            publiclyAccessible: false,
            replicationSubnetGroupIdentifier: this.createSubnetGroup(vpc).ref
        });
        
        // Source and Target Endpoints
        const sourceEndpoint = new dms.CfnEndpoint(this, &#39;SourceEndpoint&#39;, {
            endpointType: &#39;source&#39;,
            engineName: &#39;postgres&#39;,
            serverName: &#39;source-db.example.com&#39;,
            port: 5432,
            databaseName: &#39;source_db&#39;,
            username: &#39;migration_user&#39;,
            password: &#39;migration_password&#39;
        });
        
        const targetEndpoint = new dms.CfnEndpoint(this, &#39;TargetEndpoint&#39;, {
            endpointType: &#39;target&#39;,
            engineName: &#39;postgres&#39;,
            serverName: &#39;target-db.example.com&#39;,
            port: 5432,
            databaseName: &#39;target_db&#39;,
            username: &#39;migration_user&#39;,
            password: &#39;migration_password&#39;
        });
        
        // Migration Task
        const migrationTask = new dms.CfnReplicationTask(this, &#39;MigrationTask&#39;, {
            replicationTaskIdentifier: &#39;full-load-and-cdc&#39;,
            sourceEndpointArn: sourceEndpoint.ref,
            targetEndpointArn: targetEndpoint.ref,
            replicationInstanceArn: replicationInstance.ref,
            migrationType: &#39;full-load-and-cdc&#39;,
            tableMappings: JSON.stringify({
                &quot;rules&quot;: [
                    {
                        &quot;rule-type&quot;: &quot;selection&quot;,
                        &quot;rule-id&quot;: &quot;1&quot;,
                        &quot;rule-name&quot;: &quot;1&quot;,
                        &quot;object-locator&quot;: {
                            &quot;schema-name&quot;: &quot;public&quot;,
                            &quot;table-name&quot;: &quot;%&quot;
                        },
                        &quot;rule-action&quot;: &quot;include&quot;
                    }
                ]
            }),
            replicationTaskSettings: JSON.stringify({
                &quot;TargetMetadata&quot;: {
                    &quot;TargetSchema&quot;: &quot;&quot;,
                    &quot;SupportLobs&quot;: true,
                    &quot;FullLobMode&quot;: false,
                    &quot;LobChunkSize&quot;: 0,
                    &quot;LimitedSizeLobMode&quot;: true,
                    &quot;LobMaxSize&quot;: 32,
                    &quot;LoadMaxFileSize&quot;: 0,
                    &quot;ParallelLoadThreads&quot;: 0,
                    &quot;ParallelLoadBufferSize&quot;: 0,
                    &quot;BatchApplyEnabled&quot;: false,
                    &quot;TaskRecoveryTableEnabled&quot;: false
                },
                &quot;FullLoadSettings&quot;: {
                    &quot;TargetTablePrepMode&quot;: &quot;DROP_AND_CREATE&quot;,
                    &quot;CreatePkAfterFullLoad&quot;: false,
                    &quot;StopTaskCachedChangesApplied&quot;: false,
                    &quot;StopTaskCachedChangesNotApplied&quot;: false,
                    &quot;MaxFullLoadSubTasks&quot;: 8,
                    &quot;TransactionConsistencyTimeout&quot;: 600,
                    &quot;CommitRate&quot;: 10000
                },
                &quot;Logging&quot;: {
                    &quot;EnableLogging&quot;: true,
                    &quot;LogComponents&quot;: [
                        {
                            &quot;Id&quot;: &quot;SOURCE_UNLOAD&quot;,
                            &quot;Severity&quot;: &quot;LOGGER_SEVERITY_DEFAULT&quot;
                        },
                        {
                            &quot;Id&quot;: &quot;TARGET_LOAD&quot;,
                            &quot;Severity&quot;: &quot;LOGGER_SEVERITY_DEFAULT&quot;
                        }
                    ]
                }
            })
        });
        
        // Migration orchestration with Step Functions
        this.createMigrationOrchestration(migrationTask);
    }
    
    private createSubnetGroup(vpc: ec2.Vpc): dms.CfnReplicationSubnetGroup {
        return new dms.CfnReplicationSubnetGroup(this, &#39;ReplicationSubnetGroup&#39;, {
            replicationSubnetGroupDescription: &#39;Subnet group for DMS&#39;,
            replicationSubnetGroupIdentifier: &#39;migration-subnet-group&#39;,
            subnetIds: vpc.privateSubnets.map(subnet =&gt; subnet.subnetId)
        });
    }
    
    private createMigrationOrchestration(migrationTask: dms.CfnReplicationTask): void {
        // Lambda functions for migration steps
        const startMigrationFunction = new lambda.Function(this, &#39;StartMigration&#39;, {
            runtime: lambda.Runtime.PYTHON_3_9,
            handler: &#39;index.handler&#39;,
            code: lambda.Code.fromInline(`
import boto3
import json

def handler(event, context):
    dms = boto3.client(&#39;dms&#39;)
    task_arn = event[&#39;task_arn&#39;]
    
    response = dms.start_replication_task(
        ReplicationTaskArn=task_arn,
        StartReplicationTaskType=&#39;start-replication&#39;
    )
    
    return {
        &#39;statusCode&#39;: 200,
        &#39;task_arn&#39;: task_arn,
        &#39;task_status&#39;: response[&#39;ReplicationTask&#39;][&#39;Status&#39;]
    }
            `)
        });
        
        const checkMigrationStatusFunction = new lambda.Function(this, &#39;CheckMigrationStatus&#39;, {
            runtime: lambda.Runtime.PYTHON_3_9,
            handler: &#39;index.handler&#39;,
            code: lambda.Code.fromInline(`
import boto3
import json

def handler(event, context):
    dms = boto3.client(&#39;dms&#39;)
    task_arn = event[&#39;task_arn&#39;]
    
    response = dms.describe_replication_tasks(
        Filters=[
            {
                &#39;Name&#39;: &#39;replication-task-arn&#39;,
                &#39;Values&#39;: [task_arn]
            }
        ]
    )
    
    task = response[&#39;ReplicationTasks&#39;][0]
    status = task[&#39;Status&#39;]
    
    return {
        &#39;task_arn&#39;: task_arn,
        &#39;task_status&#39;: status,
        &#39;is_complete&#39;: status in [&#39;stopped&#39;, &#39;failed&#39;, &#39;ready&#39;]
    }
            `)
        });
        
        // Step Function definition
        const startMigrationTask = new sfnTasks.LambdaInvoke(this, &#39;StartMigrationTask&#39;, {
            lambdaFunction: startMigrationFunction,
            inputPath: &#39;$&#39;,
            outputPath: &#39;$&#39;
        });
        
        const checkStatusTask = new sfnTasks.LambdaInvoke(this, &#39;CheckMigrationStatusTask&#39;, {
            lambdaFunction: checkMigrationStatusFunction,
            inputPath: &#39;$&#39;,
            outputPath: &#39;$&#39;
        });
        
        const waitTask = new stepfunctions.Wait(this, &#39;WaitForMigration&#39;, {
            time: stepfunctions.WaitTime.duration(cdk.Duration.minutes(5))
        });
        
        const migrationComplete = new stepfunctions.Succeed(this, &#39;MigrationComplete&#39;);
        const migrationFailed = new stepfunctions.Fail(this, &#39;MigrationFailed&#39;);
        
        // Define state machine
        const definition = startMigrationTask
            .next(waitTask)
            .next(checkStatusTask)
            .next(new stepfunctions.Choice(this, &#39;IsMigrationComplete?&#39;)
                .when(stepfunctions.Condition.booleanEquals(&#39;$.is_complete&#39;, true),
                      new stepfunctions.Choice(this, &#39;MigrationSuccessful?&#39;)
                          .when(stepfunctions.Condition.stringEquals(&#39;$.task_status&#39;, &#39;stopped&#39;), migrationComplete)
                          .otherwise(migrationFailed))
                .otherwise(waitTask));
        
        new stepfunctions.StateMachine(this, &#39;MigrationStateMachine&#39;, {
            definition: definition,
            timeout: cdk.Duration.hours(24)
        });
    }
}
```

## Output Format

1. **Comprehensive Migration Strategy**: Multi-database platform support with NoSQL integration
2. **Cross-Platform Migration Tools**: SQL to NoSQL, NoSQL to SQL, and hybrid migrations
3. **Modern Tooling Integration**: Atlas, Debezium, Flyway, Prisma, and cloud-native solutions
4. **Change Data Capture Pipeline**: Real-time synchronization with Kafka and schema registry
5. **Event Sourcing Migrations**: Event store transformations and aggregate rebuilding
6. **Cloud Infrastructure Automation**: AWS DMS, GCP Database Migration Service, Azure DMS
7. **Enterprise Monitoring Suite**: Prometheus metrics, Grafana dashboards, and anomaly detection
8. **Advanced Validation Framework**: Multi-database integrity checks and performance benchmarks
9. **Automated Rollback Procedures**: Platform-specific recovery strategies
10. **Performance Optimization**: Batch processing, parallel execution, and resource management

Focus on zero-downtime migrations with comprehensive validation, automated rollbacks, and enterprise-grade monitoring across all supported database platforms.

## Cross-Command Integration

This command integrates seamlessly with other development workflow commands to create a comprehensive database-first development pipeline:

### Integration with API Development (`/api-scaffold`)
```python
# integrated-db-api-config.py
class IntegratedDatabaseApiConfig:
    def __init__(self):
        self.api_config = self.load_api_config()        # From /api-scaffold
        self.db_config = self.load_db_config()          # From /db-migrate
        self.migration_config = self.load_migration_config()
    
    def generate_api_aware_migrations(self):
        &quot;&quot;&quot;Generate migrations that consider API endpoints and schemas&quot;&quot;&quot;
        return {
            # API-aware migration strategy
            &#39;api_migration_strategy&#39;: f&quot;&quot;&quot;
-- Migration with API endpoint consideration
-- Migration: {datetime.now().strftime(&#39;%Y%m%d_%H%M%S&#39;)}_api_aware_schema_update.sql

-- Check API dependency before migration
DO $$
BEGIN
    -- Verify API endpoints that depend on this schema
    IF EXISTS (
        SELECT 1 FROM api_endpoints 
        WHERE schema_dependencies @&gt; &#39;[&quot;users&quot;, &quot;profiles&quot;]&#39;
        AND is_active = true
    ) THEN
        RAISE NOTICE &#39;Found active API endpoints depending on this schema&#39;;
        
        -- Create migration strategy with API versioning
        CREATE TABLE IF NOT EXISTS api_migration_log (
            id SERIAL PRIMARY KEY,
            migration_name VARCHAR(255) NOT NULL,
            api_version VARCHAR(50) NOT NULL,
            schema_changes JSONB,
            rollback_script TEXT,
            created_at TIMESTAMP DEFAULT NOW()
        );
        
        -- Log this migration for API tracking
        INSERT INTO api_migration_log (
            migration_name, 
            api_version, 
            schema_changes
        ) VALUES (
            &#39;api_aware_schema_update&#39;,
            &#39;{self.api_config.get(&quot;version&quot;, &quot;v1&quot;)}&#39;,
            &#39;{{&quot;tables&quot;: [&quot;users&quot;, &quot;profiles&quot;], &quot;type&quot;: &quot;schema_update&quot;}}&#39;::jsonb
        );
    END IF;
END $$;

-- Backward-compatible schema changes
ALTER TABLE users ADD COLUMN IF NOT EXISTS new_field VARCHAR(255);

-- Create view for API backward compatibility
CREATE OR REPLACE VIEW users_api_v1 AS 
SELECT 
    id,
    username,
    email,
    -- Maintain API compatibility
    COALESCE(new_field, &#39;default_value&#39;) as new_field,
    created_at,
    updated_at
FROM users;

-- Grant API service access
GRANT SELECT ON users_api_v1 TO {self.api_config.get(&quot;db_user&quot;, &quot;api_service&quot;)};

COMMIT;
            &quot;&quot;&quot;,
            
            # Database connection pool optimization for API
            &#39;connection_pool_config&#39;: {
                &#39;fastapi&#39;: f&quot;&quot;&quot;
# FastAPI with optimized database connections
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import QueuePool

class DatabaseConfig:
    def __init__(self):
        self.database_url = &quot;{self.db_config.get(&#39;url&#39;, &#39;postgresql://localhost/app&#39;)}&quot;
        self.api_config = {self.api_config}
        
    def create_engine(self):
        return create_engine(
            self.database_url,
            poolclass=QueuePool,
            pool_size={self.api_config.get(&#39;db_pool_size&#39;, 20)},
            max_overflow={self.api_config.get(&#39;db_max_overflow&#39;, 0)},
            pool_pre_ping=True,
            pool_recycle=3600,
            echo={str(self.api_config.get(&#39;debug&#39;, False)).lower()}
        )
    
    def get_session_maker(self):
        engine = self.create_engine()
        return sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Migration-aware API dependencies
async def get_db_with_migration_check():
    # Check if migrations are running
    async with get_db() as session:
        result = await session.execute(
            text(&quot;SELECT COUNT(*) FROM schema_migrations WHERE is_running = true&quot;)
        )
        running_migrations = result.scalar()
        
        if running_migrations &gt; 0:
            raise HTTPException(
                status_code=503,
                detail=&quot;Database migrations in progress. API temporarily unavailable.&quot;
            )
        
        yield session
                &quot;&quot;&quot;,
                
                &#39;express&#39;: f&quot;&quot;&quot;
// Express.js with database migration awareness
const {{ Pool }} = require(&#39;pg&#39;);
const express = require(&#39;express&#39;);
const app = express();

class DatabaseManager {{
    constructor() {{
        this.pool = new Pool({{
            connectionString: &#39;{self.db_config.get(&#39;url&#39;, &#39;postgresql://localhost/app&#39;)}&#39;,
            max: {self.api_config.get(&#39;db_pool_size&#39;, 20)},
            idleTimeoutMillis: 30000,
            connectionTimeoutMillis: 2000,
        }});
        
        this.migrationStatus = new Map();
    }}
    
    async checkMigrationStatus() {{
        try {{
            const client = await this.pool.connect();
            const result = await client.query(
                &#39;SELECT COUNT(*) as count FROM schema_migrations WHERE is_running = true&#39;
            );
            client.release();
            
            return result.rows[0].count === &#39;0&#39;;
        }} catch (error) {{
            console.error(&#39;Failed to check migration status:&#39;, error);
            return false;
        }}
    }}
    
    // Middleware to check migration status
    migrationStatusMiddleware() {{
        return async (req, res, next) =&gt; {{
            const isSafe = await this.checkMigrationStatus();
            
            if (!isSafe) {{
                return res.status(503).json({{
                    error: &#39;Database migrations in progress&#39;,
                    message: &#39;API temporarily unavailable during database updates&#39;
                }});
            }}
            
            next();
        }};
    }}
}}

const dbManager = new DatabaseManager();
app.use(&#39;/api&#39;, dbManager.migrationStatusMiddleware());
                &quot;&quot;&quot;
            }
        }
    
    def generate_api_schema_sync(self):
        &quot;&quot;&quot;Generate API schema synchronization with database&quot;&quot;&quot;
        return f&quot;&quot;&quot;
# API Schema Synchronization
import asyncio
import aiohttp
from sqlalchemy import text

class ApiSchemaSync:
    def __init__(self, api_base_url=&quot;{self.api_config.get(&#39;base_url&#39;, &#39;http://localhost:8000&#39;)}&quot;):
        self.api_base_url = api_base_url
        self.db_config = {self.db_config}
    
    async def notify_api_of_schema_change(self, migration_name, schema_changes):
        &#39;&#39;&#39;Notify API service of database schema changes&#39;&#39;&#39;
        async with aiohttp.ClientSession() as session:
            payload = {{
                &#39;migration_name&#39;: migration_name,
                &#39;schema_changes&#39;: schema_changes,
                &#39;timestamp&#39;: datetime.now().isoformat()
            }}
            
            try:
                async with session.post(
                    f&quot;{{self.api_base_url}}/internal/schema-update&quot;,
                    json=payload,
                    timeout=30
                ) as response:
                    if response.status == 200:
                        print(f&quot;API notified of schema changes: {{migration_name}}&quot;)
                    else:
                        print(f&quot;Failed to notify API: {{response.status}}&quot;)
            except Exception as e:
                print(f&quot;Error notifying API: {{e}}&quot;)
    
    async def validate_api_compatibility(self, proposed_changes):
        &#39;&#39;&#39;Validate that proposed schema changes won&#39;t break API&#39;&#39;&#39;
        async with aiohttp.ClientSession() as session:
            try:
                async with session.post(
                    f&quot;{{self.api_base_url}}/internal/validate-schema&quot;,
                    json={{&#39;proposed_changes&#39;: proposed_changes}},
                    timeout=30
                ) as response:
                    result = await response.json()
                    return result.get(&#39;compatible&#39;, False), result.get(&#39;issues&#39;, [])
            except Exception as e:
                print(f&quot;Error validating API compatibility: {{e}}&quot;)
                return False, [f&quot;Validation service unavailable: {{e}}&quot;]
        &quot;&quot;&quot;
```

### Complete Workflow Integration
```python
# complete-database-workflow.py
class CompleteDatabaseWorkflow:
    def __init__(self):
        self.configs = {
            &#39;api&#39;: self.load_api_config(),           # From /api-scaffold
            &#39;testing&#39;: self.load_test_config(),      # From /test-harness
            &#39;security&#39;: self.load_security_config(), # From /security-scan
            &#39;docker&#39;: self.load_docker_config(),     # From /docker-optimize
            &#39;k8s&#39;: self.load_k8s_config(),          # From /k8s-manifest
            &#39;frontend&#39;: self.load_frontend_config(), # From /frontend-optimize
            &#39;database&#39;: self.load_db_config()        # From /db-migrate
        }
    
    async def execute_complete_workflow(self):
        console.log(&quot;ð Starting complete database migration workflow...&quot;)
        
        # 1. Pre-migration Security Scan
        security_scan = await self.run_security_scan()
        console.log(&quot;â Database security scan completed&quot;)
        
        # 2. API Compatibility Check
        api_compatibility = await self.check_api_compatibility()
        console.log(&quot;â API compatibility verified&quot;)
        
        # 3. Container-based Migration Testing
        container_tests = await self.run_container_tests()
        console.log(&quot;â Container-based migration tests passed&quot;)
        
        # 4. Production Migration with Monitoring
        migration_result = await self.run_production_migration()
        console.log(&quot;â Production migration completed&quot;)
        
        # 5. Frontend Cache Invalidation
        cache_invalidation = await self.invalidate_frontend_caches()
        console.log(&quot;â Frontend caches invalidated&quot;)
        
        # 6. Kubernetes Deployment Update
        k8s_deployment = await self.update_k8s_deployment()
        console.log(&quot;â Kubernetes deployment updated&quot;)
        
        # 7. Post-migration Testing Pipeline
        post_migration_tests = await self.run_post_migration_tests()
        console.log(&quot;â Post-migration tests completed&quot;)
        
        return {
            &#39;status&#39;: &#39;success&#39;,
            &#39;workflow_id&#39;: self.generate_workflow_id(),
            &#39;components&#39;: {
                security_scan,
                api_compatibility,
                container_tests,
                migration_result,
                cache_invalidation,
                k8s_deployment,
                post_migration_tests
            },
            &#39;migration_summary&#39;: {
                &#39;zero_downtime&#39;: True,
                &#39;rollback_plan&#39;: &#39;available&#39;,
                &#39;performance_impact&#39;: &#39;minimal&#39;,
                &#39;security_validated&#39;: True
            }
        }
```

This integrated database migration workflow ensures that database changes are coordinated across all layers of the application stack, from API compatibility to frontend cache invalidation, creating a comprehensive database-first development pipeline that maintains data integrity and system reliability.

Focus on enterprise-grade migrations with zero-downtime deployments, comprehensive monitoring, and platform-agnostic strategies for modern polyglot persistence architectures.</pre>
                  </div>
                </div>
              </div>
          </div>

        </div>
      </div>
    </div>
  </div>
</div>

</template></turbo-stream>