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RAC Tuning

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Breadcrumb Abstract Shape
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Breadcrumb Abstract Shape

RAC Tuning

  1. Cluster Interconnect Tuning
  • Network Configuration: Ensure that the private interconnect network is configured optimally. Use dedicated, high-speed networks (e.g., 10GbE or Infiniband). 
  • Load Balancing: Utilize Oracle’s interconnect load balancing mechanisms to distribute traffic evenly across available network interfaces. 
  • UDP Buffer Size: Increase the UDP buffer size to handle increased inter-node communication. 
  1. Cache Fusion Tuning
  • Global Cache Latency: Minimize global cache latency by optimizing the interconnect and reducing contention on shared resources. 
  • Block Transfer Sizes: Use appropriate block transfer sizes to minimize overhead during block transfers between nodes. 
  • Instance Affinity: Ensure that sessions or workloads are affinitized to specific nodes to reduce the need for block transfers. 
  1. Workload Distribution
  • Load Balancing Advisory: Configure the service’s connection load balancing advisory to distribute workload effectively across the cluster. 
  • Dynamic Resource Allocation: Use dynamic resource allocation policies to ensure that the system adapts to changing workloads in real-time. 
  • Services & Instances: Assign services to specific instances based on workload characteristics. 
  1. Storage I/O Tuning
  • ASM Configuration: Optimize Oracle ASM (Automatic Storage Management) for better I/O performance by configuring appropriate redundancy and striping policies. 
  • I/O Distribution: Ensure that the I/O workload is evenly distributed across all nodes and storage devices. 
  • Disk Group Design: Use high-performance storage and configure disk groups for optimal performance. 
  1. CPU and Memory Tuning
  • CPU Allocation: Ensure proper CPU allocation across all nodes, avoiding CPU bottlenecks on any particular node. 
  • Memory Configuration: Tune memory allocation, including the SGA and PGA, to optimize database performance. 
  • NUMA Optimization: For NUMA (Non-Uniform Memory Access) systems, ensure that memory access patterns are optimized to reduce latency. 
  1. Parallel Execution Tuning
  • Parallel Execution Configuration: Optimize parallel execution settings to distribute parallel query execution across nodes effectively. 
  • Degree of Parallelism (DOP): Set an appropriate DOP based on the system’s capabilities to maximize performance without overloading resources. 
  1. Global Enqueue and Lock Management
  • Enqueue Wait Tuning: Reduce enqueue wait events by minimizing contention for shared resources. 
  • Lock Management: Ensure that locking mechanisms are efficiently managed to reduce contention and bottlenecks. 
  1. SQL Plan Management
  • SQL Tuning: Ensure that SQL statements are optimized to reduce resource consumption. Use SQL profiles and baselines to stabilize execution plans. 
  • Execution Plans: Monitor execution plans for consistency across nodes, ensuring that RAC-specific issues like inter-node block transfers are minimized. 
  1. Diagnostic and Monitoring Tools
  • Oracle Enterprise Manager (OEM): Use OEM’s RAC-specific features like the Cluster Database Performance page and Performance Hub to monitor and diagnose performance issues. 
  • AWR and ASH Reports: Generate AWR and ASH reports to identify top wait events, SQLs, and areas that need tuning. 
  • GV$ Views: Utilize Global V$ views like GV$INSTANCE, GV$SESSION, GV$ACTIVE_SESSION_HISTORY, etc., to gain insights into cluster-wide performance. 
  1. Application Tuning
  • Session Affinity: Ensure that the application tier is tuned to maintain session affinity, reducing unnecessary block transfers between nodes. 
  • Connection Pools: Tune connection pools to distribute connections evenly across instances and ensure efficient utilization of resources.