How can I optimize the performance of my Go SQL ORM?
To optimize your Go SQL ORM performance, consider using connection pooling, indexing your database, and minimizing the number of queries.
What are some specific techniques for reducing query times?
You can use techniques like eager loading to reduce the number of queries, and batch processing to handle multiple records at once.
Are there any tools to help analyze ORM performance?
Yes, tools like pprof for profiling and SQL query analyzers can help you identify bottlenecks in your ORM performance.
How does caching affect ORM performance?
Caching can significantly improve ORM performance by reducing the number of database hits for frequently accessed data.
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