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Grid Computing for Oracle Database Administrators (DBAs)

Introduction

Grid computing is a powerful paradigm that allows organizations to pool computing resources, optimize workloads, and achieve scalability. As an Oracle DBA, understanding how Oracle databases can be integrated into a grid computing environment is essential. In this whitepaper, we will explore grid computing concepts, Oracle Grid Infrastructure, and best practices for resource optimization.

Table of Contents

1. Understanding Grid Computing

  • Define grid computing and its benefits.
  • Discuss the shift from traditional siloed infrastructure to a shared resource model.

2. Oracle Grid Infrastructure

  • Explain Oracle Grid Infrastructure components.
  • Explore Oracle Clusterware for high availability.
  • Discuss Automatic Storage Management (ASM) for storage management.

3. Scalability and Load Balancing

  • Cover workload distribution across nodes.
  • Discuss Oracle Real Application Clusters (RAC) for database scalability.
  • Provide examples of adding nodes dynamically.

4. Resource Optimization

  • Explore resource management features in Oracle Grid Infrastructure.
  • Discuss resource profiles, resource plans, and services.
  • Explain how to allocate CPU, memory, and I/O resources.

Understanding Grid Computing

Benefits of Grid Computing

  • Scalability: Add resources as needed without disrupting existing services.
  • Resource Optimization: Efficiently utilize available resources.
  • High Availability: Achieve fault tolerance and minimize downtime.

Oracle Grid Infrastructure

Components

  • Oracle Clusterware: Manages cluster nodes, resources, and failover.
  • Automatic Storage Management (ASM): Simplifies storage management.

High Availability with Oracle Clusterware

  • Automatic failover for database services.
  • Node eviction and recovery.

Storage Management with ASM

  • Disk group management.
  • Dynamic rebalancing.

Scalability and Load Balancing

Workload Distribution

  • Oracle RAC distributes workloads across nodes.
  • Load balancing ensures even resource utilization.

Oracle Real Application Clusters (RAC)

  • Multiple instances accessing the same database.
  • Transparent application failover (TAF).
  • Dynamic addition of nodes.

Resource Optimization

Resource Management Features

  • Resource Profiles: Define resource requirements for applications.
  • Resource Plans: Allocate resources based on priorities.
  • Services: Group database resources for better management.

Allocating Resources

  • CPU: Use CPU resource profiles and resource plans.
  • Memory: Set memory targets for Oracle instances.
  • I/O: ASM rebalancing and I/O resource management.

Conclusion

Grid computing transforms the way we manage Oracle databases. As a DBA, embrace grid technologies, stay informed about updates, and collaborate with system administrators to create a robust grid environment. Remember that grid computing is about flexibility, scalability, and efficient resource utilization.

Background

A large automotive plant operator has been using a custom application framework to build an application integral to their operations. Originally built using JDK8 and JBoss4 against an Oracle database, the application received periodic updates, with the last major update in 2020/2021. In 2024, the client and Performance One Data Solutions, a division of Ross Group Inc., embarked on a joint effort to upgrade the technology stack to enhance performance, security, and maintainability.

Objectives

The primary goals of the project were:

  1. Upgrade the Custom Application Framework from JDK8 to JDK21.
  2. Upgrade the jQuery integration to release 3.7.1.
  3. Upgrade the application to run on Wildfly 30 from Wildfly 11.
  4. Migrate the database backend from Oracle 12 to Microsoft SQL Server 2020.

Challenges and Solutions

Framework and Database Migration:

  • Challenge: The application framework was vetted against Microsoft SQL Server but was not deployed in a major application.
  • Solution: Performance One refactored the framework to conform to Java 9+ standards and regression-tested it against Microsoft SQL Server 2020.

Application Refactoring:

  • Challenge: Refactoring the client application to compile and run using the new tech stack.
  • Solution: Performance One took a copy of the client application and refactored it to compile and launch using JDK21, Wildfly 30, and Microsoft SQL Server.

Data Migration:

  • Challenge: Migrating data from Oracle to Microsoft SQL Server.
  • Solution: Performance One provided migrated data and created installation scripts to upgrade the client’s Microsoft SQL Server.

Report Conversion:

  • Challenge: Converting BIRT and Crystal reports against Microsoft SQL Server.
  • Solution: Performance One converted the reports and ensured they worked with Microsoft SQL Server.

Project Timeline

Initial Milestones:

    1. Complete Framework upgrade to JDK21/Wildfly 30.
    2. Provide migrated data from Oracle to Microsoft SQL Server.
    3. Regression test the application framework against Microsoft SQL Server 2020.
    4. Refactor the client’s application to compile and launch using the new tech stack.
    5. Create installation data script for Microsoft SQL Server compliance.
    6. Regression test the application installation processes.
    7. Make recommendations for unused application features.
    8. Validate and upgrade application code.

Additional Tasks

  • Database Procedures Conversion: Performance One converted the client’s database procedures, functions, and views to Microsoft SQL Server.
  • Report Migrations: Ongoing conversion of BIRT and Crystal report development.
  • Application Enhancements: Upgrading client’s application screens for jQuery 3.7.1, file attachment uploads, and integration with scanner devices using web sockets.
  • Server Maintenance: Wildfly server maintenance, release builds, and deployment handling, with a transition plan for client resources post-go-live.

Conclusion

Performance One Data Solutions partnered with the client to upgrade the technology stack, ensuring improved performance and maintainability. The collaboration between Performance One and the client team demonstrated effective problem-solving and adaptability, setting a strong foundation for future upgrades and enhancements.

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