Is the spring boot application supports kafka without zookeeper.
I am able to setup kafka in kraft mode without zookeeper. Now I need to know what I have to set up in the spring boot application to connect with kafka in kraft mode.
I have googled it, to run spring boot application with kafka in kraft mode without zookeeper, but I am not able to find any examples.
Can you one know how to integrate the kafka in kraft mode with spring boot application
Kafka clients don't need to know what mode Kafka is running in.
You configure bootstrap servers as normal.
Related
How to do Spring Batch Remote Chunking within Spring Cloud Data Flow Server?
In my understanding - Remote Partitioning of Spring Batch can be done within Spring Cloud Data Flow Server using DeployerPartitionHandler.
But, How do we implement Remote Chunking inside SCDF?
There is nothing special to run a remote chunking job on SCDF. All you need to do is to run both the master and workers as Task applications.
I have a Spring Boot application that uses Spring Batch. I want now to implement an admin panel to see all job statuses. For this, Spring has "spring-batch-admin" But I see that is deprecated long time ago:
The functionality of Spring Batch Admin has been mostly duplicated
and
expanded upon via Spring Cloud Data Flow and we encourage all users to
migrate to that going forward.
But then Spring Cloud Data Flow says:
Pipelines consist of Spring Boot apps, built using the Spring Cloud
Stream or Spring Cloud Task microservice frameworks
So in order to use this functionality do I really need to convert my spring boot app to a microservice? Isn't this an overkill just to see some batch statuses? Also I can not install docker on my production server(for various reasons) Can I still use Spring Cloud Data Flow without docker?
Yes, spring boot batch should be wrapped as spring cloud task, which should not be too complicated.
If Docker does not suit your needs - https://docs.spring.io/spring-cloud-dataflow/docs/current/reference/htmlsingle/#getting-started-local-deploying-spring-cloud-dataflow
I use spring boot and undertow in eureka server. After I kill the process, it tells me the port is in use when I restart the applicaiton.
I searched and finded that the server application won't release the port immediately after stopping . It will wait about 50s.
Someone suggested to add REUSE option:
setsockopt(listenfd,SOL_SOCKET,SO_REUSEADDR,&opt,sizeof(&opt));
I am wondering if there is a way to to this in spring boot embedded containers.
Thanks.
We are trying to implement a message channel between a worker spring application and a consumer spring application (there will be replicas of the same consumer on multiple JVMs)
With the Java Config there is limited documentation for the spring integration and I was able to find a documentation for the spring Kafka.I am not exactly sure how the dependency is working,
Is spring Kafka integration is based on Spring Kafka. Please give an idea on this?
Where can I find proper documentation for the new Release of Spring Integration Kafka?
Spring Integration Kafka 2.0 is built on top of Spring Kafka (Spring Integration Kafka 1.x used the 0.8.x.x scala client directly).
The documentation for Spring Integration Kafka is in Chapter 6 of the Spring Kafka Reference Manual.
At some point, it is likely that spring-integration-kafka will be pulled into the main spring integration project/documentation.
i setup a service which uses spring boot application(for regular rest calls) and a embedded Netty server using NettyReactiveWebServerFactory in a different port (for eureka related calls).
All the actuator related functionality is applied to my main spring boot application but not to my embedded netty server.
Is there anyway where i can enable the actuator endpoints to both servers?
Used versions:
Spring boot version- 2.0.8, spring webflux
Spring cloud - Finchley.SR2