Spring without views - spring

I am new to spring and so not sure if what I intend to do is possible.
I need to create an asynchronous webservice and a worker server (broker), both using the model & controller aspects of spring.
The webservice needs to send it's client's requests on to the broker via JMS and then instantly send a response back to the client indicating the request has been queued.
The broker is intended to remain live, processing messages from multiple webservice instances and sending back the results via an output JMS queue. The reason the broker needs to remain live is because the work to process each webservice message involves calling other webservices, some of which may be asynchronous and which may take a lot of time to process.
Additionally I do not want to spawn multiple instances of the broker as it is designed to handle multiple concurrent messages.
Is it possible to create both the webservice and broker within the same spring project, with both running in a web container such as tomcat or do I need to code them in separate projects, with perhaps the broker as a traditional standalone server rather than a web container servlet?
If so could someone point me in the right direction to creating a stay-alive broker within spring/tomcat.
I understand the webservice and JMS side of things, so do not need any help with that.

Related

Parallel processing in multiple instances of spring boot application

I am not able to analyse, how to go ahead. I am using Spring boot 2, Oracle, IBM MQ.
I have made 2 async requests to external applications. I need to do some operation when I have received both of the responses.
I am not able to set it up as there are multiple instances of application running and listening to same queue for response.
I tried using #transactional and cyclic barrier. But I guess they will work only in scope of their own instance and not between multiple instances.
How should I proceed ahead?
It is also really difficult to reproduce the scenario where one message is read by one instance and other by other instance that too at the same time, where they eventually try to update db at same time.

JMS message processing with spring integration in cloud environment

I'm currently trying to refactor the processing of JMS messages to work in a distributed/cloud environment. To allow a better retry and error handling the messages are first stored to the database with a JPA entity and then read by spring integration jpa inbound adapter. This works fine as long as just a single instance of my service is running. However when multiple instances are running, the instances try to process the same message even after introducing a processing state on the persisted messages.
I have already tried to save the JMS messages in a JDBC message store, however then I would have to define a group identifier according to which an instance could select a message which is not really possible since the number of instances is dynamic and I can not assign a group id for each instance. Another possibility could be some kind of distributed lock with a LockRegistry but I couldn't make that work.
Do you have any hint/advice how I could implement the following requirements the best with spring integration:
JMS message should be persisted
Any instance can pick up the message and process it
If the processing fails there will be a retry for x times (could also be retried by another instance)
If an instance crashes or gets killed during the processing the message must not be lost
Is there maybe some spring-cloud component which could be helpful?
I'm happy about every hint in which direction I should go.

Deferred consumption of message queue

Sorry this might sound naive to JMS gurus, but still.
I have a requirement where a Spring based application is not able to connect synchronously to a SAP back-end (via their web-service interface) because the response from SAP is way too slow. We are thinking of a solution where the updates from GUI would be saved by the Spring middle-ware in a local database, simultaneously sending a message to a JMS queue. We want that after (say) every few hours (or may be nightly) a batch job runs to consume the message from the JMS queue, and based on the message contents, queries on the local database and sends the result to the SAP web-service.
Is this approach correct? Would I need a batch to trigger the JMS message consumption (because I don't want to consume the message immediately but in a deferred manner and at a pre-decided time)? Is there any way in Spring to implement this gracefully (like Camel)? Appreciate your help.
Spring Batch has a JmsItemReader that can be used in a batch program; an empty queue signals the end of the batch. Spring Cloud Task is built on top of batch and can be used for cloud deployments.

How should you handle the retry of sending a JMS message from your application to ActiveMQ if the ActiveMQ server is down?

So using JMS and ActiveMQ, I can be sure that my message sent from my Spring Boot application using JmsTemplate will reach it's destination application even if that destination application is down at the time I send the message to ActiveMQ. As when the destination application starts up, it grabs the message from the queue. Great!
However.
What happens if my Spring Boot application tries to send a JMS message to a queue on the ActiveMQ server, but the ActiveMQ server is down at that point or the network is down and I get a connection refused exception?
What is the recommended way to make sure my application keeps trying to re-sends the message to ActiveMQ until it is successful? Is this something I have to develop into my application myself? Are there any nifty Spring tools or annotations which do this for me? Any advice on best practice or how I should be handling this scenario?
You can try Spring-Retry. Has lots of fine grain controls for it:
http://www.baeldung.com/spring-retry
https://github.com/spring-projects/spring-retry
If it is critical that you don't lose this message, you will want to save it to some alternative persistent store (e.g. filesystem, local mq server) along with whatever retry code you come up with. But for those occasional network glitches or a very temporary mq shutdown/restart, Spring-Retry alone should do the trick.
Couple of approaches I can think of
1. You can set up another ActiveMq as fallback. In your code you don't have to do anything, just change your broker url from
activemq.broker.url=tcp://amq01.blah.blah.com:61616
to
activemq.broker.url=failover:(tcp://amq01.blah.blah.com:61616,tcp://amq02.blah.blah.com:61616)?randomize=false
The rest is automatically taken care of. i.e. when one of them is down, the messages are sent to other.
Another approach is to send to a internal queue (like seda, direct) when activemq is down and read from there.
Adding failover to the url is one appropriate way.
And another reasonable way is to making sure activemq always online , as activemq has the master-slave mode(http://activemq.apache.org/masterslave.html) to get high availability.

Usage of JMS to call a API which delivers a message

I would like to know if using a JMS in the below scenario is feasible or not.
I am adding a feature of calling an API service which will dispatch the emails to the customer.
So i thought of implementing a JMS in my application where i would put the events or messages in the queue and write a listener in the same application which will process the message and call the rest API service call which will dispatch the message to the customers.
My question was is it good to have a JMS in between the rest call and our application ?
Or should i directly call the rest api to dispatch the messages to the customer ?
I think that depends on the availability and overhead of your rest service.
If you know there will be times that your service will be down, but don't want to impact the process using the API, then JMS queues make since.
Or if you feel the rest service is causing a bottle neck from the API service side and want to queue up the messages somewhere where they can survive an outage of your own, JMS with a provider that supports persistent messages makes since in this case.
Using JMS would also open the door for completely decoupling the two. Whatever application hosts the rest service could just as easily be converted to pull messages from the JMS queue without a need to make a rest call if that seemed more efficient.
Just a few examples of how you could justify using JMS in this scenario.

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