DCGMigrator uses tools like Ora2Pg and Google Cloud DMS Conversion Workspace, and orchestrates end-to-end migration steps as an automated first run.
It performs following migration activities.
→ Assessment:
Analyzes the source Oracle database to generate reports identifying potential migration challenges (“Migration Surprises Report”) and helps plan the conversion process.
→ Schema & Code Conversion:
This is a core function where DCGMigrator automates:
1. Mapping Oracle data types to PostgreSQL equivalents.
2. Transforming specific constructs (like Boolean).
3. Migrating users and grants.
4. Handling Oracle partitioning by auto-managing partitions in PostgreSQL.
5. Generating necessary configurations (like Ora2Pg) and wrapper code for Oracle-specific functions.
6. Applying known migration patterns and automating the setup of required PostgreSQL extensions.
→ Deployment:
Manages the deployment of schema objects before and after data loading, including parallel deployment of indexes and foreign keys for speed. It offers options like continuing deployment even if errors occur in non-critical objects.
→ Data Loading:
Facilitates the full data load process, incorporating techniques like smart data chunking and parallel loading to expedite data transfer using Ora2pg.
→ Validation:
Provides comprehensive validation checks post-migration, comparing schemas, code, and data counts between Oracle and PostgreSQL. It generates various reports, including missing code reports, test cases, and sanity/quality checks for converted code and triggers, ensuring migration accuracy quickly.
By automating these complex tasks, using parallel processing, and providing an integrated workspace for conversion, deployment, and validation, DCGMigrator significantly accelerates the migration timeline from Oracle to PostgreSQL.
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Source Credit: https://medium.com/google-cloud/accelerate-oracle-migrations-to-alloydb-and-cloud-sql-for-postgresql-18c5ffa3cd42?source=rss—-e52cf94d98af—4
