How can back pressure be handled in a reactive stream in Spring Boot?

  • By using the collect operator.
  • By using the onBackpressureBuffer operator.
  • By using the retry operator.
  • By using the subscribe operator.
In Spring Boot's reactive streams, back pressure can be handled by using operators like onBackpressureBuffer. Back pressure is a mechanism that allows consumers to signal producers to slow down when they are overwhelmed with data. The onBackpressureBuffer operator is used to buffer excess items when the downstream subscriber can't keep up, preventing data loss and allowing the system to handle the flow of data efficiently.
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