![]() We use SQLite operators like Concatenate, SQLite functions like substring (SUBSTR), hexadecimal functions (HEX), and lowercase (LOWER) functions to break the GUID data into several groups separated by hyphens, specifically a group of 8 digits followed by three groups of 4 digits followed by a group of 12 digits, for a total of 32 digits representing the 128 bits. Method 2: Expressions in AWS DMS table-mapping approach.This involves using materialized view to first convert GUID data to UUID format on the Oracle source itself, then using an AWS DMS task to load the data directly from the materialized view to the PostgreSQL target. We provide CloudFormation template and scripts that can be deployed to test the solutions. ![]() We describe two methods in this post: using materialized views and using expressions in your transformation rules, which work for other data types or similar use cases. In this post, we provide examples of how to use SQLite operators and SQLite functions in transformation rules to convert Oracle GUID in RAW data type columns to UUID data type format on PostgreSQL. In addition, AWS DMS supports expressions, which means using SQLite operators or functions to define the data in a column. Solution overviewĪWS DMS allows you to use SQLite operators and SQLite functions within a transformation rule to compute column values that you can apply to any selected schema, table, or view. In this post, we show you two methods to perform data type conversion with AWS DMS: using materialized views and using expressions in your transformation rules. One such example is the Oracle RAW data type which you can use to store Globally Unique Identifier (GUID) data to the Universally Unique Identifier (UUID) data type in PostgreSQL, because by default AWS DMS converts the Oracle RAW data type to BYTEA in PostgreSQL. When migrating data from an Oracle source to PostgreSQL-compatible target, you often encounter special data type transformation scenarios that require using the rich set of transformation rules AWS DMS provides. AWS Database Migration Service (AWS DMS) is a managed service that you can use to migrate data from various source data engines to supported targets.
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