Migration guide: Access to SQL Server

Applies to: yesSQL Server (all supported versions)

In this guide, you learn how to migrate your Microsoft Access databases to SQL Server by using SQL Server Migration Assistant for Access (SSMA for Access).

For other migration guides, see Azure Database Migration Guides.

Prerequisites

Before you begin migrating your Access database to SQL Server:

  • Verify that your source environment is supported.
  • Get SSMA for Access.
  • Get connectivity and sufficient permissions to access both the source and target.

Pre-migration

After you've met the prerequisites, you're ready to discover the topology of your environment and assess the feasibility of your migration.

Assess

By using SSMA for Access, you can review database objects and data and assess databases for migration. To learn more about the tool, see SQL Server Migration Assistant for Access.

To create an assessment:

  1. Open SSMA for Access.

  2. Select File, and then select New Project.

  3. Enter a project name and a location to save your project. Then select a SQL Server migration target from the drop-down list, and select OK.

    Screenshot that shows New Project.

  4. Select Add Databases, and select the databases to add to your project.

    Screenshot that shows Add Databases.

  5. In Access Metadata Explorer, right-click the database you want to assess and then select Create Report. Alternatively, you can select the Create Report tab in the upper-right corner.

    Screenshot that shows Create Report.

  6. Review the HTML report to understand conversion statistics and any errors or warnings. You can also open the report in Excel to get an inventory of Access objects and the effort required to perform schema conversions. The default location for the report is in the report folder within SSMAProjects, as shown here:

    drive:\<username>\Documents\SSMAProjects\MyAccessMigration\report\report_2020_11_12T02_47_55\.

    Screenshot that shows a sample report.

Validate the data types

Validate the default data type mappings and change them based on requirements, if necessary. To do so:

  1. On the Tools menu, select Project Settings.

  2. Select the Type Mapping tab.

    Screenshot that shows Type Mapping.

  3. You can change the type mapping for each table by selecting the table in Access Metadata Explorer.

Convert

To convert database objects:

  1. Select Connect to SQL Server, and enter connection details.

    Screenshot that shows Connect to SQL Server.

  2. Right-click the database in Access Metadata Explorer, and select Convert Schema. Alternatively, you can select the Convert Schema tab in the upper-right corner.

    Screenshot that shows Convert Schema.

  3. After the conversion finishes, compare and review the converted objects to the original objects to identify potential problems and address them based on the recommendations.

    Screenshot that shows comparing converted queries.

  4. Compare the converted Transact-SQL text to the original code, and review the recommendations.

    Screenshot that shows reviewing converted objects.

  5. (Optional) To convert an individual object, right-click the object and select Convert Schema. An object that has been converted appears bold in Access Metadata Explorer.

    Screenshot that shows bold objects in Metadata Explorer have been converted.

  6. In the output pane, select Review results, and review the errors in the Error List pane.

  7. Save the project locally for an offline schema remediation exercise. On the File menu, select Save Project. This step gives you an opportunity to evaluate the source and target schemas offline and perform remediation before you publish the schema to SQL Server.

Migrate

After you've assessed your databases and addressed any discrepancies, the next step is to run the migration process. Migrating data is a bulk-load operation that moves rows of data into SQL Server in transactions. The number of rows to be loaded into SQL Server in each transaction is configured in the project settings.

To publish your schema and migrate the data by using SSMA for Access:

  1. If you haven't already, select Connect to SQL Server and enter connection details.

  2. Publish the schema by right-clicking the database in SQL Server Metadata Explorer and selecting Synchronize with Database. This action publishes the MySQL schema to SQL Server.

    Screenshot that shows Synchronize with Database.

  3. Review the mapping between your source project and your target.

    Screenshot that shows reviewing the synchronization with the database.

  4. Migrate the data by right-clicking the database or object you want to migrate in Access Metadata Explorer and selecting Migrate Data. Alternatively, you can select the Migrate Data tab. To migrate data for an entire database, select the check box next to the database name. To migrate data from individual tables, expand the database, expand Tables, and then select the check boxes next to the tables. To omit data from individual tables, clear the check boxes.

    Screenshot that shows Migrate Data.

  5. After migration is completed, view the Data Migration Report.

    Screenshot that shows the Migrate Data Report.

  6. Connect to your SQL Server instance by using SQL Server Management Studio, and validate the migration by reviewing the data and schema.

    Screenshot that shows the validation in SQL Server Management Studio.

Post-migration

After you've successfully completed the migration stage, you need to complete a series of post-migration tasks to ensure that everything is functioning as smoothly and efficiently as possible.

Remediate applications

After you've migrated the data to the target environment, all the applications that formerly consumed the source need to start consuming the target. Accomplishing this task will require changes to the applications in some cases.

Perform tests

The test approach for database migration consists of the following activities:

  1. Develop validation tests: To test database migration, you need to use SQL queries. You must create the validation queries to run against both the source and the target databases. Your validation queries should cover the scope you've defined.
  2. Set up a test environment: The test environment should contain a copy of the source database and the target database. Be sure to isolate the test environment.
  3. Run validation tests: Run validation tests against the source and the target, and then analyze the results.
  4. Run performance tests: Run performance tests against the source and the target, and then analyze and compare the results.

Optimize

The post-migration phase is crucial for reconciling any data accuracy issues, verifying completeness, and addressing performance issues with the workload.

Note

For more information about these issues and the steps to mitigate them, see the Post-migration validation and optimization guide.

Migration assets

For more assistance with completing this migration scenario, see the following resource. It was developed in support of a real-world migration project engagement.

Title Description
Data Workload Assessment Model and Tool This tool provides suggested "best fit" target platforms, cloud readiness, and application or database remediation level for a given workload. It offers simple, one-click calculation and report generation that helps to accelerate large estate assessments by providing an automated and uniform target platform decision process.

The Data SQL Engineering team developed these resources. This team's core charter is to unblock and accelerate complex modernization for data platform migration projects to Microsoft's Azure data platform.

Next steps