Top 10 Performance Tuning Tips for Oracle RAC DBAs

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  • User AvatarPradip
  • 03 May, 2025
  • 0 Comments
  • 4 Mins Read

Top 10 Performance Tuning Tips for Oracle RAC DBAs

If you’ve worked with Oracle RAC, you already know that high availability doesn’t always mean high performance. RAC is designed to keep your database running even when things go wrong, but that doesn’t mean it will always run fast.

If you’re like me, you’ve probably had days where users complain about slow queries, but when you check the system, everything looks fine. The CPU isn’t maxed out, memory usage is normal, and the disks aren’t overloaded, so what’s the problem? The truth is, that Oracle RAC performance tuning is a different beast.

Tuning a single-instance Oracle database is challenging enough, but with RAC, you’re dealing with multiple instances, interconnect latency, global cache synchronization, and workload balancing—all of which can introduce new performance bottlenecks.

So, let’s go through 10 critical performance-tuning techniques that will help you optimize your RAC environmentand keep your database running at peak efficiency.


1. Optimize Cache Fusion Traffic

One of the biggest performance killers in RAC is excessive Cache Fusion traffic. Since multiple instances need to share data blocks, Oracle RAC uses Cache Fusion to transfer these blocks over the private interconnect. But if too many blocks are being transferred back and forth, your performance will tank.

How to Fix It?

1. Identify high block transfer ratesusing GV$CACHE_TRANSFER:

 ```sql
   SELECT from_inst_id, to_inst_id, class, COUNT(*) as transfers
   FROM gv$cache_transfer
   GROUP BY from_inst_id, to_inst_id, class
   ORDER BY transfers DESC;
   ``` 

2. Reduce unnecessary block transfers by tuning queriesto minimize contention.

3. Partition tablesso that each node primarily accesses its own set of data.

Example: I worked on a financial transaction system where excessive block transfers between nodes slowed down batch processing. By partitioning key tables, we reduced Cache Fusion traffic by 60%, cutting query execution times in half.


2. Optimize the Private Interconnect

Your RAC interconnect is the lifeline of the cluster. If it’s slow or misconfigured, your database will crawl.

Best Practices:

  • Use a dedicated, high-speed (10G or higher) networkfor the interconnect.
  • Enable Jumbo Frames (`MTU 9000`)to reduce packet overhead.
  • Check interconnect latencyusing V$SYSSTAT:
 ```sql
   SELECT name, value FROM V$SYSSTAT 
   WHERE name LIKE 'gc%cr%time';
   ``` 
  • If you see high values, consider upgrading the interconnect or using RDMA over Converged Ethernet (RoCE).

3. Load Balance Workload Across Nodes

If one node is overloaded while others are idle, you RAC setup is not doing its job. You need to ensure an even distribution of workload.

How to Check Load Distribution?

```sql
SELECT inst_id, service_name, SUM(cpu_time) 
FROM gv$service_stats 
GROUP BY inst_id, service_name;
``` 

How to Fix Load Imbalance?

  • Use Oracle Services(`DBMS_SERVICE`) to assign workloads to specific nodes.
  • Enable Client-Side Load Balancingin tnsnames.ora.
  • Monitor session distributionwith GV$SESSION.

4. Reduce Global Enqueue Contention

Global enqueue contention happens when multiple instances try to access the same object, causing locking issues.

Identify enqueue contention using GV$ENQUEUE_STAT:

```sql
SELECT event, total_waits, time_waited 
FROM GV$SYSTEM_EVENT 
WHERE event LIKE 'enq%';
``` 
  • Reduce DML contention on heavily updated tables.
  • Use sequences with cachingto minimize cross-node coordination.

5. Optimize Undo and Redo Logs

High log file sync and undo segment contention can slow down transactions.

  • Place Redo Logs on dedicated SSD/NVMe storage.
  • Increase UNDO_TABLESPACE if you see high undo contention.
  • Enable fast commitswhere applicable.

Example: A banking client facing ORA-01555 (Snapshot Too Old) errors reduced failures by 80% after tuning undo retention settings.


6. Monitor GC Buffer Busy Waits

This means a session is waiting for a block already in use by another instance.

  • Check for GC buffer waits:
```sql
SELECT event, total_waits, time_waited 
FROM GV$SYSTEM_EVENT 
WHERE event LIKE 'gc buffer busy%';
``` 
  • Use partitioning to reduce block contention.
  • Ensure indexes are being used efficientlyto avoid excessive full-table scans.

7. Optimize Parallel Execution

Parallel queries can improve performance but also cause interconnect contention.

  • Use PARALLEL_FORCE_LOCAL=TRUE to keep parallel execution within the same node.
  • Set optimal parallel degree—too many parallel threads can degrade performance.

8. Use AWR and ASH Reports for Performance Diagnosis

You can’t tune what you don’t measure. AWR (Automatic Workload Repository) and ASH (Active Session History) reports help identify bottlenecks.

  • Generate AWR reports:
```sql
SELECT dbms_workload_repository.create_snapshot FROM dual;
``` 
  • Identify Top SQL by CPU, I/O, and Wait Eventsand optimize accordingly.

9. Use Partitioning to Reduce Inter-Node Communication

Partitioning helps store related data on specific nodes, reducing the need for global data access.

Recommended Partitioning Methods:

List Partitioning:Best for grouping similar data.

Hash Partitioning:Balances workload across nodes.

Example: An e-commerce company reduced report generation time by 60% after implementing list partitioning on sales data.


10. Keep Statistics Up-to-Date

If Oracle’s optimizer has outdated statistics, it will generate inefficient execution plans.

  • Update optimizer statistics regularly:
```sql
EXEC DBMS_STATS.GATHER_DATABASE_STATS;
``` 
  • Use incremental statistics gatheringto minimize overhead.

Impact: A logistics company reduced query execution time from 15 seconds to 3 seconds just by updating stale statistics.


Final Thoughts

Tuning Oracle RAC is not just about fixing performance issues—it’s about ensuring your database runs at peak efficiency under all conditions. With the right strategies—optimizing Cache Fusion, balancing workloads, tuning the interconnect, and managing contention—you can transform a slow-performing RAC environment into a highly efficient system.

At Learnomate Technologies, we provide the best training in Oracle RAC to help you master these skills. Whether you’re a beginner or an experienced DBA, our hands-on approach ensures you gain real-world expertise in performance tuning, troubleshooting, and database optimization.

Want to learn more?

📌 Visit our YouTube channel for detailed insights: www.youtube.com/@learnomate

📌 Explore our courses and training programs: www.learnomate.org

📌 Follow me on LinkedIn for more Oracle and database content: Ankush Thavali

📌 If you want to read more about different technologies, check out our blog posts: Learnomate Blogs

Keep learning, keep optimizing, and let’s build high-performing Oracle RAC systems together!

Happy Reading

ANKUSH😎