In the arena of powerful databases, PostgreSQL stands as a remarkable open-source solution with a wealth of features. PostgreSQL was announced as the DBMS of the Year 2023 and we have also published a summary of PostgreSQL and the achievements in 2023. Yet, amidst its excellence, a crucial enhancement is awaiting – PostgreSQL is seeking a streamlined solution for programmatically extracting DDL for database objects like DBMS_METADATA in Oracle. This inspired us to create pg_dbms_metadata, a solution designed to enhance your PostgreSQL experience and bridge this gap. We are excited to introduce pg_dbms_metadata, a PostgreSQL Extension for Oracle DBMS_METADATA Compatibility. This extension is designed to give compatibility to Oracle’s DBMS_METADATA package. This facilitates a seamless transition for customers migrating from Oracle to PostgreSQL and provides a systematic approach for effortlessly retrieving DDL programmatically. During the migration from Oracle to PostgreSQL, this extension can help us get easily integrated into the existing workflows, making DDL extraction smoother. Traditionally, PostgreSQL users have relied on tools like pg_dump to extract DDL for their database objects. Or sometimes, custom scripts or pgAdmin like tools to extract the DDL. While all of these solutions are effective, these approaches lack the flexibility and ease of programmatic extraction. Developers and database administrators often find themselves searching for a more seamless solution that integrates into their existing workflows. Following are some of the key features of pg_dbms_metadata. The extension not only provides alignment with the Oracle DBMS_METADATA package but also establishes a systematic approach to retrieve DDL programmatically. Users can generate DDL for an object using a plain SQL query or PL/pgSQL code, providing flexibility and adaptability to different user preferences. Unlike traditional methods like pg_dump, the extension : pg_dbms_metadata allows DDL extraction using any client capable of executing plain SQL queries. This opens up new possibilities for integration into various workflows. Similar to Oracle, users can omit the schema when extracting DDL, leveraging the search_path to locate the object and retrieve the required DDL. The extension provides three essential functions such as following – GET_DDL(): Extracts DDL for a specified object. Users can customize DDL through session-level transformation parameters using the SET_TRANSFORM_PARAM() procedure. Following are a few examples demonstrating the usage of the extension. This function extracts DDL of specified database objects. This function extracts DDL of all dependent objects of the specified object type for a specified base object. This function extracts the SQL statements to recreate granted privileges and roles for a specified grantee. This procedure is used to configure session-level transform params, with which we can customize the DDL of objects. In summary, “pg_dbms_metadata” elevates PostgreSQL’s DDL extraction capabilities, offering Oracle compatibility, flexible extraction methods, and granular control over configurations. This extension streamlines workflows, providing a comprehensive solution for seamless migration and enhanced database management in PostgreSQL. If you are looking to reduce your license spend on Oracle or other commercial databases, Contact HexaCluster today about your options of migrating to PostgreSQL. We are currently offering free Database Migration Assessments for both Oracle, SQL Server and other commercial database users. You may also fill the form below and someone from our team will be in touch with you. Subscribe to our Newsletters and stay tuned for more interesting topics.Introduction: Need for Enhanced DDL Extraction in PostgreSQL like Oracle DBMS_METADATA

What is pg_dbms_metadata ?
Challenges with Traditional Approaches for DDL extraction in PostgreSQL: A Look at pg_dump
Key Features of pg_dbms_metadata
Multi-Purpose Functionality
Flexible Extraction
Client-Agnostic Extraction
Schema Flexibility
Granular DDL Extraction
GET_DEPENDENT_DDL(): Extracts DDL for all dependent objects of a specified type for a base object.
GET_GRANTED_DDL(): Extracts SQL statements to recreate granted privileges and roles for a specified grantee.Configuration Control
Usage Examples of pg_dbms_metadata
GET_DDL():
SELECT dbms_metadata.get_ddl('TABLE','employees','gdmmm');GET_DEPENDENT_DDL():
SELECT dbms_metadata.get_dependent_ddl('CONSTRAINT','employees','gdmmm');GET_GRANTED_DDL():
SELECT dbms_metadata.get_granted_ddl('ROLE_GRANT','user_test');
SET_TRANSFORM_PARAM():
CALL dbms_metadata.set_transform_param('SQLTERMINATOR',true);Conclusion
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