Migrating data from MySQL to SQL Azure

This guide walks you through migrating data from MySQL to SQL Azure in a few simple steps using ESF Database Migration Toolkit. Simplify complex migration tasks and save valuable time with our streamlined approach.

Prerequisite:

  • Software Required:

    64-bit Windows application for ESF Database Migration Toolkit 12.2.11 (2025-08-23).
    (md5: 937035c014b2bb81ca2d7725af094aa6)
    32-bit Windows application for ESF Database Migration Toolkit 12.2.11 (2025-08-23).
    (md5: bf6b639a2a703faf6b3c5139c5943e75)
  • System Supported:

    • Windows 7 or higher.
    • MySQL 3.23 or higher.
    • SQL Azure.

Step by Step Wizard:

  1. Configure MySQL Data Source

    • In the "Choose a Data Source" dialog:
      • Select "MySQL"
    • Enter server details:
      • Server name: localhost (default)
      • Port: 3306 (default)
    • Provide authentication:
      • Username: root (default)
      • Associated password
    • Database selection:
      • Click the Refresh button to list available databases
      • Select target database from the list
    MySQL connection dialog showing server configuration, authentication fields, and refresh button
    Fig. 1: MySQL data source configuration
  2. Configure SQL Azure Data Destination

    • Prerequisite:
      • Enable access in Azure server's "Firewalls and virtual networks" page
      • Add your client IP to the firewall rules
    • In the "Choose a Destination" dialog:
      • Select "SQL Azure"
    • Enter server details:
      • Server name: e.g., esf.database.windows.net
      • Port: 1433 (default)
    • Provide authentication credentials:
      • Username and password
    • Database selection:
      • Click Refresh Database to load databases
      • Select target database
    • Schema selection:
      • Click Refresh Schema to load schemas
      • Choose existing schema (dbo schema is default)
    "Choose a Data Destination" dialog showing SQL Azure configuration options
    Fig. 2: SQL Azure data destination configuration
  3. In "Select Source Table(s) & View(s)" Dialog

    • Select migration objects: Choose tables or views to include in the migration.
      Select Tables & Views
      Fig. 3: Select tables and views
    • Modify table structure: Click the ellipsis (...) button to access table options and schema adjustments.
      Transform
      Fig. 4: Do transform
    • Configure field mapping: In the Field Mapping options:
      • Customize destination fields (name, data type, default value, comments)
      • Select data transfer method:
        • Overwrite Table (replace existing data)
        • Empty Data (truncate before insert)
        • Append Data (add to existing data)
        • Skip Table (exclude from transfer)
      • Apply data filters before transfer
  4. Execution Dialog

    • Start migration: Click "Submit" to initiate automated data transfer from MySQL to SQL Azure.
      Execute
      Fig. 5: Execute migration
    • Monitor progress: Click "Browse Log" for real-time migration tracking, including issue resolution details.
    • Save configuration: Click "Save as job" to store settings for:
      • Quick reloads of migration jobs
      • Command-line execution (use: dmtc.exe --help for parameter options)
  5. Finished!

    After migration completes, the toolkit generates a comprehensive report for verifying migration accuracy. You can monitor progress as the automated process runs efficiently. For any questions or feedback, contact us – our team is ready to assist.

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Related Links:

1. SQL Azure to MySQL Migration
1. MySQL to DB2 Migration
2. MySQL to MS Access Migration
3. MySQL to MS Excel Migration
4. MySQL to MariaDB Migration
5. MySQL to Oracle Migration
6. MySQL to PostgreSQL Migration
7. MySQL to SQL Server Migration
 
1. DB2 to SQL Azure Migration
2. FireBird to SQL Azure Migration
3. Foxpro to SQL Azure Migration
4. Informix to SQL Azure Migration
5. InterSystems Cache to SQL Azure Migration
6. MS Access to SQL Azure Migration
7. MS Excel to SQL Azure Migration
8. MariaDB to SQL Azure Migration
9. Oracle to SQL Azure Migration
10. PostgreSQL to SQL Azure Migration
11. SQLite to SQL Azure Migration