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Data Migration

Data migration is the process of transferring data between different databases or environments. CodeNull provides powerful tools to help you import data from external sources and migrate between development, staging, and production environments.

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Migration Types

Environment Migration

Move data between development, staging, and production

External Source Import

Import data from other databases or platforms

Schema Evolution

Adapt data to schema changes

Backup & Restore

Create and apply database backups

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Environment Migration

CodeNull makes it easy to move your data between different environments:
1

Access Migration Tool

From the Database Dashboard, click “Tools” → “Migration Manager”
2

Select Source Environment

Choose the environment containing the data you want to migrate (e.g., Development)
3

Select Target Environment

Choose the environment where you want to migrate the data (e.g., Production)
4

Configure Migration

Migration Configuration Interface
Set options for your migration:
  • Collections/tables to include
  • Data transformation rules
  • Conflict resolution strategy
  • Schema validation behavior
  • Reference handling
5

Preview Migration

Review a summary of the data that will be migrated:
  • Record counts by collection/table
  • Potential conflicts
  • Schema differences
  • Estimated migration time
6

Execute Migration

Click “Start Migration” to begin the process. A progress indicator will show the status.
7

Verify Migration

After completion, review the migration report and validate the data in your target environment.

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External Source Import

Import data from external databases, APIs, or file formats:
1

Access Import Tool

From the Database Dashboard, click “Tools” → “External Import”
2

Select Import Source

Choose your external data source:
  • External database connection
  • API endpoint
  • File upload (CSV, JSON, SQL dump)
  • Cloud storage (S3, Google Cloud Storage)
3

Configure Connection

Enter connection details for your source:
  • Connection strings
  • Authentication credentials
  • File paths or URLs
  • Query parameters
4

Map Data Structure

Data Mapping Tool
Define how external data maps to your CodeNull database:
  • Field mappings
  • Data transformations
  • Filter conditions
  • Relationship handling
5

Set Import Options

Configure how the import should behave:
  • Handling duplicates (skip, update, create new)
  • Error handling
  • Batch size
  • Validation rules
6

Run Import

Start the import process and monitor progress.

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Schema Evolution Migration

When your schema changes, you need to migrate existing data to match the new structure:
Schema Evolution Migration
CodeNull automatically detects schema changes and helps you migrate your data:
When you add new fields to your schema, CodeNull can:
  • Apply default values to existing records
  • Run custom functions to generate values
  • Flag records for review
  • Leave values as null/undefined
When you remove fields from your schema, CodeNull can:
  • Preserve the data in a backup
  • Remove the data from all records
  • Archive the data in a separate collection
When you change a field’s data type, CodeNull can:
  • Attempt automatic conversion
  • Flag inconvertible values
  • Apply transformation functions
  • Roll back changes if conversion fails
When you modify relationships between models, CodeNull can:
  • Update foreign keys
  • Rebuild references
  • Restructure embedded documents
  • Preserve relationship integrity

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Backup & Restore

Create and manage database backups with CodeNull’s backup tools:
1

Create a Backup

From the Database Dashboard, click “Tools” → “Backup & Restore” → “Create Backup”
2

Configure Backup

Set backup options:
  • Full database or selected collections/tables
  • Include indexes and schema
  • Compression level
  • Encryption (optional)
3

Execute Backup

Run the backup process and receive a downloadable backup file or store it in the cloud.
4

Restore from Backup

To restore, select a backup file and choose restore options:
  • Full restore or selective collections
  • Conflict resolution strategy
  • Validation level

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Migration Strategies

Transfer all data in a single operation.Best for:
  • Small to medium databases
  • Non-critical applications
  • Development environments
Considerations:
  • Requires downtime
  • All-or-nothing approach
  • Easier to implement

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Data Transformation

During migration, you can transform your data using CodeNull’s transformation tools:
Data Transformation Interface
Available transformations include:
  • Value Mapping: Convert values from one format to another
  • Date Formatting: Standardize date formats
  • String Operations: Concatenate, split, or format text
  • Mathematical Operations: Perform calculations on numeric fields
  • Conditional Logic: Apply different transformations based on conditions
  • Custom Functions: Write JavaScript functions for complex transformations

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Migration Monitoring and Logging

Track your migration processes with comprehensive monitoring tools:
Migration Monitoring Dashboard
The monitoring interface provides:
  • Real-time progress tracking
  • Error logging and alerts
  • Performance metrics
  • Record counts by status
  • Detailed audit logs
  • Rollback capability

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Best Practices

Always run a test migration with a subset of data before performing a full migration in production environments.
  • Create a migration plan: Document your migration strategy and steps
  • Backup before migrating: Always create backups before starting migrations
  • Validate post-migration: Verify data integrity after migration completes
  • Consider performance impact: Schedule migrations during low-traffic periods
  • Monitor during migration: Watch for errors and performance issues
  • Test thoroughly: Validate the migration process in a test environment
  • Document transformations: Keep records of any data transformations applied

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Next Steps

After setting up your data migration processes, you might want to: