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1. Convert db2 stored procedure to aws postgresql how to#
2. Convert db2 stored procedure to aws postgresql manual#

These schemas implement SQL system functions of the Db2 LUW database that are required when writing the converted schema to your Aurora PostgreSQL database. When you convert your Db2 LUW schema, AWS SCT adds additional schemas ( aws_db2_ext and aws_db2_ext_data) to your target database. ('pg_catalog','information_schema','aws_commons', You can validate the schemas at the source and target databases using SQL queries. Schemas represent a collection of database objects that serve a related functionality in an application or microservice. These validation scenarios do not cover the accuracy of the conversion. In the following sections, we go through validation scenarios for each object type in detail to ensure that the number of objects for each object type remains consistent between source and target databases. The following list shows the database objects in Db2 LUW (source) and Aurora PostgreSQL (target) that you should validate during database migration: You should perform schema validation after you successfully convert your schema from Db2 LUW and deploy the converted schema in PostgreSQL using AWS SCT or other conversion tools.

Convert db2 stored procedure to aws postgresql how to#

In this post, we walk you through how to validate database schema objects migrated from Db2 LUW to Amazon RDS for PostgreSQL or Aurora PostgreSQL. Schema validation is a crucial milestone that prevents slippage of any issues from the schema conversion process to other stages of the database migration. Because schema migration with AWS SCT isn’t a fully automated process, there is always a chance of missing objects or key object features in the target database.

Convert db2 stored procedure to aws postgresql manual#

Migration from IBM Db2 LUW to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL is heterogeneous in nature, and traditionally follows similar phases.ĪWS provides tools and services like AWS Schema Conversion Tool (AWS SCT), which simplifies schema conversion for heterogeneous database migration, and AWS Database Migration Service (AWS DMS), which helps you migrate data to AWS quickly and securely while minimizing downtime.ĪWS SCT generates an assessment report showing the percentage of Db2 code that is converted to PostgreSQL automatically and the percentage of code that requires manual effort for conversion with detailed action items. Heterogeneous database migration is a multistage process, which usually includes assessment, database schema conversion, data migration, functional testing, performance tuning, and many other steps spanning across multiple teams.