I am using Spring Integration in my project.
We have a requirement that in case where we will have stop Spring standalone service if database goes down.
In Message listener when I persist the data into database I check if I get CannotGetJdbcConnectionException then stop the Spring service using applicationContext.close() method.
Problem here is if I received any message on to the Queue and database goes down.
I tried to close Spring service then all resource goes down except DefaultMessageListenerContainer that holds that message.
If I terminate the process manually then message goes into inbound Queue which is correct.
Is there any way I could stop Spring service forcefully and put the message back to Inbound Queue?
I hope I am clear with my point here.
Thanks
Sachin
You should configure the DMLC with setSessionTransacted(true) (acknowledge="transacted" when using the namespace to define the endpoints).
Then any in-flight messages will be rolled-back onto the queue.
Related
I want to stop/pause the queue so that (https://issues.apache.org/jira/browse/AMQ-5229)
NO messages sent to the associate consumers
messages still to be enqueued on the queue
ability to be able to browse the queue
all the JMX counters for the queue to be available and correct.
Added: Apache ActiveMQ (Version 5.16.2)
But I don't know where to create the bean of JmsListenerEndpointRegistry and call start and stop method.
Sample code will be appreciated. Thanks.
The JmsListenerEndpointRegistry is automatically configured by Spring Boot.
Simply #Autowired it into the controlling class, give the JmsListener an id and stop/start it using the id.
Note: this does not use the AMQ feature you referenced; it simply tells the listener container to stop/start receiving messages.
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.
Using Spring boot #RabbitListener, we are able to process the AMQP messages.
Whenever a message sent to queue its immediately publish to destination exchange.
Using #RabbitListener we are able to process the message immediately.
But we need to process the message only between specific timings example 1AM to 6AM.
How to achieve that ?
First of all you can take a look into Delayed Exchange feature of RabbitMQ: https://docs.spring.io/spring-amqp/docs/current/reference/html/#delayed-message-exchange
So, this way on the producer side you should determine how long the message should be delayed before it is routed to the main exchange for the actual consuming afterwards.
Another way is to take a look into Spring Integration and its Delayer component: https://docs.spring.io/spring-integration/docs/5.2.0.BUILD-SNAPSHOT/reference/html/messaging-endpoints.html#delayer
This way you will consume messages from the RabbitMQ, but will delay them in the target application logic.
And another way I see like start()/stop() the listener container for consumption and after according your timing requirements. This way the message is going to stay in the RabbitMQ until you start the listener container: https://docs.spring.io/spring-amqp/docs/current/reference/html/#containerAttributes
Our project is to integrate two applications, using the REST API of each and using JMS (to provide asynchronous nature). Application-1 writes the message on the queue. The next step is to read the message from the queue, process it, and send it to application2.
I have two questions:
Should we use one more queue for storing messages after processing and before sending them to application2?
Should we use spring batch or spring integration to read/process the data?
Or you don't show the whole premise, or you really try to overhead your app. If there is just need to read messages from the queue, there is just enough to use Spring JMS directly... From other side with the Spring Integration and its Adapters power you can just process messes from the <int-jms:message-driven-channel-adapter> to the <int-http:outbound-channel-adapter>.
Don't see reason to store message somewhere else in the reading and sending process. Just because with some exception here you just rollback your message to the JMS queue back.
Application Data Flow:
JSon Messages--> Active MQ --> Spring XD-- Business Login(Transform JSon to Java Object)--> Save Data to Target DB--> DB.
Question:
Sprin-Xd is running in cluster mode, configured with Radis.
Spring XD picks up the message from the Active message queue(AMQ). So message is no longer in AMQ. Now while one of the containers where this message is being processed with some business logic suddenly goes down. In this scenarios-
Will Spring-XD framework automatically re-process that particular message ? what's mechanism behind that?
Thanks,
Abhi
Not with a Redis transport; Redis has no infrastructure to support such a requirement ("transactional" reads). You would need to use a rabbit or kafka transport.
EDIT:
See Application Configuration (scroll down to RabbitMQ) and Message Bus Configuration.
Specifically, the default ackMode is AUTO which means messages are acknowledged on success.