How can I optimize performance in reactive streams?
An example of an AI chatbot conversation about optimizing performance in reactive streams.
How can I optimize performance in reactive streams?
To optimize performance in reactive streams, consider strategies like backpressure management, using efficient operators, and minimizing context switching.
What is backpressure and why is it important?
Backpressure is a mechanism that allows a consumer to signal to a producer to slow down or stop sending data. It's crucial for preventing resource exhaustion.
Can you give examples of efficient operators?
Sure! Operators like map, filter, and flatMap can be optimized by using non-blocking implementations and avoiding unnecessary computations.
How do I measure the performance of my reactive streams?
You can measure performance using tools like JMH for benchmarking, or by monitoring metrics such as throughput and latency.
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