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Snowpal Podcast: Discuss performance optimization for queries in databases.
In this video, Krish Palaniappan discusses performance optimization for queries in databases. He provides tips and strategies for optimizing queries across different databases, including RDBMS and NoSQL. Krish explains the importance of using indices and ordering attributes correctly in composite indices. He also discusses considerations for functions and mapping layers, as well as the limitations of ORM and DRM layers. Krish emphasizes the benefits of executing native queries for better control and highlights the indexing considerations for class structures. He concludes with tips for reducing database calls and avoiding multiple calls in loops.
Takeaways
Optimizing queries is crucial for improving performance in databases.
Indices play a significant role in query optimization.
Consider the order of attributes in composite indices for better performance.
Be cautious of the limitations and overhead of ORM and DRM layers.
Executing native queries can provide more control over query optimization.
Reduce database calls and avoid multiple calls in loops for better performance.
Chapters
00:00 Introduction and App Update
01:02 Identifying the Query to Optimize
02:02 Optimizing Queries Across Different Databases
03:02 Optimizing Simple Queries with Indices
04:26 Ordering Attributes in Composite Indices
05:26 Avoiding Collection Scans and Using Index Scans
06:26 Considerations for Functions and Mapping Layers
07:44 Limitations of ORM and DRM Layers
08:43 Executing Native Queries for Better Control
09:35 Indexing Considerations for Class Structures
10:35 Handling Type Attributes in Queries
11:33 Having a Plan for Query Optimization
12:33 Adding Indices and Reducing Database Calls
13:33 Avoiding Multiple Database Calls in Loops
14:14 Conclusion and Final Tips
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