3 Migration Database

Database data migration is an essential process in software development and database management. It involves transferring data from one database system or structure to another while ensuring its integrity, consistency, and compatibility. Proper documentation plays a crucial role in successful database data migration by providing a clear understanding of the process and facilitating effective collaboration among team members.

Migration Plan:

Document the overall migration strategy, including objectives, scope, timeline, and resources. It should outline the high-level steps involved, such as data extraction, transformation, loading, and verification.

Data Mapping:

Document the mapping between source and target data structures. This includes field-level mappings, transformations, and any data manipulations required during the migration process. Clearly define how data from the source system will be mapped to the target system's schema.

Data Validation Rules:

Document the validation rules and constraints that need to be applied to ensure data accuracy and quality after migration. This includes any business rules, data type conversions, and data consistency checks that need to be implemented.

Data Extraction and Loading Process:

Document the methods and tools used for extracting data from the source database and loading it into the target database. Specify any data conversion or transformation steps required during the process. Include details about the data loading sequence and dependencies.

Testing and Validation:

Document the test plan and validation procedures for verifying the accuracy and completeness of the migrated data. Include specific test cases, expected outcomes, and acceptance criteria. This documentation ensures that the migration process is thoroughly tested and validated before going live.

Rollback Plan:

Document a rollback plan in case the migration process encounters issues or fails. This includes steps to revert to the previous database state and ensure data integrity during the rollback process. It is crucial to have a well-defined plan to minimize data loss or disruptions during the migration.

Error Handling and Troubleshooting:

Document common migration errors, their potential causes, and the steps to resolve them. Include troubleshooting guidelines, best practices, and known issues that might arise during the migration process. This documentation helps in quickly identifying and resolving issues to minimize downtime.

Security and Compliance Considerations:

Document security measures and compliance requirements to ensure that sensitive data is protected during the migration process. Include encryption methods, access controls, and data privacy guidelines to adhere to regulatory standards.

Post-Migration Tasks:

Document any additional tasks or configurations required after the migration is complete. This includes updating application connections, validating data in the target system, and notifying stakeholders about the successful migration.

Migration

def query(sql: str):
    with pyodbc.connect(__CONNECTION_STR) as cnxn:
        with cnxn.cursor() as cursor:
            return list(cursor.execute(sql))


def insert_values_file_transfer():
    values_file = query("SELECT name, size, format, date_upload, data_transfer, status FROM file_transfer")
    with pyodbc.connect(__CONNECTION_STR_DEVELOPER) as cnxn:
        with cnxn.cursor() as cursor:
            cursor.executemany("""
            INSERT INTO [file_transfer_developer] (name, size, format, date_upload, data_transfer, status)
            VALUES (?, ?, ?, ?, ?, ?)""", values_file)


insert_values_file_transfer() 

CI

Incremento ao CI para execução da migração

      - name: Test migration
        run: |
          cd flaskr
          python migration_developer.py