Performance Optimization in Azure AI Search - Ansi ByteCode LLP
Download as PPTX, PDF0 likes10 views
Performance Optimization in Azure AI Search : enhance performance with advanced indexing, caching, and scaling. Please visit:- https://ansibytecode.com/performance-optimization-in-azure-ai-search/
Performance Optimization in Azure AI Search - Ansi ByteCode LLP
- 1. Performance Optimization in Azure AI Search
- 2. Azure AI Search enables developers to build high- performance search applications. However, as data grows, ensuring optimal speed and efficiency becomes challenging. This guide explores advanced techniques to optimize query performance and indexing efficiency with real-world examples and code snippets.
- 3. Optimizing Index Configurations for Faster Queries Choose the Right Field Types Selecting the correct field types reduces storage overhead and improves query performance. • Use Edm.String for text fields. • Use Edm.Int32 or Edm.Double for numerical data. • Set fields as searchable, filterable, or sortable based on query needs.
- 4. Optimize Index Size • Avoid excessive filterable or sortable fields. • Use facetable fields only where necessary. • Remove unused fields to minimize index size.
- 5. • Use $filter to refine queries and reduce dataset size. • Filter fields should be indexed as filterable for better efficiency. Enhancing Query Performance Implement Efficient Query Filtering Optimize Query Execution with $select Reduce payload size by selecting only required fields.
- 6. Improve Scoring Profiles Enhance relevance ranking with custom scoring profiles. • Boost recent products with higher relevance. • Adjust boost values based on user search intent.
- 7. Caching for Faster Search Results Enable Azure Front Door or Azure CDN for Caching Caching helps reduce query latency and improves response times by storing frequently accessed data. • Use Azure Front Door or Azure CDN to cache search responses closer to users. • Reduces repeated queries to Azure AI Search, improving performance.
- 8. Leverage Application-Level Caching • Use Redis Cache or Azure Cache for Redis to store frequent queries. • Implement a TTL (Time-to-Live) strategy to refresh stale data. • Use Sliding Expiration to extend cache lifetime when frequently accessed. • Retrieves results from Redis if available; otherwise, fetches from Azure AI Search and caches them.
- 9. Scaling Azure AI Search for Large Datasets Choosing the Right Service Tier • Basic & Standard – Suitable for small to medium datasets. • Standard 3 & Storage Optimized – Best for high-volume queries. Managing Replicas and Partitions • Increase Replicas – Enhances query throughput. • Increase Partitions – Improves index storage capacity.
- 10. Monitoring and Troubleshooting Performance Issues Using Azure Monitor and Logs Enable diagnostic logs to track query performance. • Use Azure Metrics Explorer to track query duration. • Identify slow queries and optimize filters and indexes. Analyzing High-Latency Queries
- 11. Improving Indexing Performance Use Bulk Indexing for Faster Data Ingestion • Use batch uploads for better performance. • Avoid sending single document updates frequently. • Batch documents in chunks of 1,000 for optimal speed.
- 12. Implement Incremental Updates Reduce unnecessary re-indexing with partial updates. • Only update changed fields instead of reindexing entire documents.
- 13. • Azure Metrics Explorer – Monitor query latency and indexing speed. • Azure Cognitive Search REST API – Automate search configurations. • Application Insights – Identify performance bottlenecks. Tools and Resources for Optimization
- 14. Conclusion Optimizing Azure AI Search ensures faster query execution, efficient indexing, and scalable performance. Implement these strategies to improve search relevance and user experience. Need Expert Guidance? Ansi ByteCode LLP specializes in Azure AI Search optimization. Contact us for tailored solutions to enhance your search performance.
- 15. Contact Us + 91 98 980 105 89 info@ansibytecode.com +91 97 243 145 89 10685-B Hazelhurst Dr. #22591 Houston, TX 77043, USA