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Don’t Let Large JCR Queries Crash Your AEM Instance: Best Practices You Need to Know
When working with Adobe Experience Manager (AEM), the Java Content Repository (JCR) serves as a foundational storage layer for content and configurations. As projects scale, handling large datasets becomes a common challenge. JCR queries can return massive result sets, and managing them effectively is crucial to maintain performance and reliability.
In this article, we’ll explore strategies and best practices for executing JCR queries with large result sets, ensuring your applications remain robust and efficient.
Non-members can access it here.
Understanding the Challenge
Executing queries that return thousands or millions of nodes can have severe performance implications:
- High Memory Usage: Loading large result sets into memory can cause the application to run out of resources.
- Long Execution Time: Queries that traverse a vast number of nodes often take longer to process.
- Stability Risks: Inefficient queries can affect the overall stability of your AEM instance.
The key lies in optimizing your queries and handling large result sets gracefully.