Reactive Support in the Spring Framework: Difference between revisions
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=Internal= | =Internal= | ||
* [[ | * [[Spring_Framework#Spring_Framework_Core_Technologies_Concepts|Spring Framework]] | ||
* [[Reactive_Programming#Overview|Reactive Programming]] | |||
=Overview= | =Overview= | ||
Spring 5 comes with a new web reactive stack, consisting of a new reactive web framework, [[Spring WebFlux]], and a reactive REST Client [[Spring WebClient|WebClient]]. Reactive programming support is extended to data repositories with reactive support for [[Spring_Data_Redis#Reactive_Redis|Redis]], MongoDB, Cassandra and Couchbase. | Spring 5 comes with a new web reactive stack, consisting of a new reactive web framework, [[Spring WebFlux]], and a reactive REST Client [[Spring WebClient|WebClient]]. Reactive programming support is extended to non-blocking data repositories with reactive support for [[Spring_Data_Redis#Reactive_Redis|Redis]], [[Spring_Data_MongoDB#Reactive_MongoDB|MongoDB]], [[Spring_Data_for_Apache_Cassandra#Reactive_Cassandra|Cassandra]] and [[Spring_Data_Couchbase#Reactive_Couchbase|Couchbase]]. Reactive support is built in top of [[Project Reactor]], a Java library for working with reactive types. Reactive programming aims to provide greater scalability and improved performance due to better use of a smaller number of threads, thanks to non-blocking operations. | ||
=TODO= | |||
* [[Spring_Cloud_Stream#Reactive_Programming_Support|Spring Cloud Stream - Reactive Programming Support]] | |||
Latest revision as of 23:02, 23 October 2018
Internal
Overview
Spring 5 comes with a new web reactive stack, consisting of a new reactive web framework, Spring WebFlux, and a reactive REST Client WebClient. Reactive programming support is extended to non-blocking data repositories with reactive support for Redis, MongoDB, Cassandra and Couchbase. Reactive support is built in top of Project Reactor, a Java library for working with reactive types. Reactive programming aims to provide greater scalability and improved performance due to better use of a smaller number of threads, thanks to non-blocking operations.