I have multiple NSB endpoints using MSMQ as transport and pointing to centralized audit queue.
ServiceControl forwards the messages from the audit queue to its RavenDb and ServiceInsight/ServicePulse show those messages.
Over a period, I'm seeing the audit queue is filled up with lot of messages which is becoming a maintenance issue.
Question - Is there any configuration in ServiceControl that can purge the messages in the audit queue automatically?
ServiceControl comes with message retention policies that you can also customize. You didn't mention which version of ServiceControl you're using but the latest one comes with default expiration of messages after 30 days. It is all documented here.
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I'm looking at turning a monolith application into a microservice-oriented application and in doing so will need a robust messaging system for interprocesses-communication. The idea is for the microserviceprocesses to be run on a cluster of servers for HA, with requests to be processed to be added on a message queue that all the applications can access. I'm looking at using Redis as both a KV-store for transient data and also as a message broker using the ServiceStack framework for .Net but I worry that the concept of eventual consistency applied by Redis will make processing of the requests unreliable. This is how I understand Redis to function in regards to Mq:
Client 1 posts a request to a queue on node 1
Node 1 will inform all listeners on that queue using pub/sub of the existence of
the request and will also push the requests to node 2 asynchronously.
The listeners on node 1 will pull the request from the node, only 1 of them will obtain it as should be. An update of the removal of the request is sent to node 2 asynchronously but will take some time to arrive.
The initial request is received by node 2 (assuming a bit of a delay in RTT) which will go ahead and inform listeners connected to it using pub/sub. Before the update from node 1 is received regarding the removal of the request from the queue a listener on node 2 may also pull the request. The result being that two listeners ended up processing the same request, which would cause havoc in our system.
Is there anything in Redis or the implementation of ServiceStack Redis Mq that would prevent the scenario described to occur? Or is there something else regarding replication in Redis that I have misunderstood? Or should I abandon the Redis/SS approach for Mq and use something like RabbitMQ instead that I have understood to be ACID-compliant?
It's not possible for the same message to be processed twice in Redis MQ as the message worker pops the message off the Redis List backed MQ and all Redis operations are atomic so no other message worker will have access to the messages that have been removed from the List.
ServiceStack.Redis (which Redis MQ uses) only supports Redis Sentinel for HA which despite Redis supporting multiple replicas they only contain a read only view of the master dataset, so all write operations like List add/remove operations can only happen on the single master instance.
One notable difference from using Redis MQ instead of specific purpose MQ like Rabbit MQ is that Redis doesn't support ACK's, so if the message worker process that pops the message off the MQ crashes then it's message is lost, as opposed to Rabbit MQ where if the stateful connection of an un Ack'd message dies the message is restored by the RabbitMQ server back to the MQ.
I want to migrate messages on an existing exclusive queue to another queue for preservation, because it's misconfigured and its consumer need to be updated.
How can I migrate those messages?
I'm using Redis Pub/Sub implementation to exchange messages between two projects. I have a few channels subscribing the same queue. When both publisher and subscriber are running, everything goes well. When I have only the publisher working(and a lot of messages are published), I would expect that when the subscriber starts, it would read all the messages that were enqueued previously. But what happens is that Redis does not keep the messages if there is no subscriber. Is there any configuration I could use to keep the messages until a subscriber dequeue them?
Redis currently doesn't behave like an MQTT broker with his "retain" flag.
If the subscription occur after the message has been published, It will be missed for the subscriber and lost forever.
I have used BlockingQueue implementation to process my events by services from a queue. However in case if the server goes down, all my events from that queue are getting deleted and hence I am missing events to process. (I am looking for some internal DB where server can store the event/messages from queue and if server goes down and up again, it can load all events/messages to process again, without manually intervention).
Any help on this. I am not sure if I should use Apache ActiveMQ. I am using apache servicemix.
Thanks in advance.
I can not answer about how to do this with BlockingQueue.
But ActiveMQ has two features that you will benefit from:
Persistent Queues and possibly you might also want to look at Durable Queues
It has a built in database that just does this under the hood and allows messages to be persisted in queue even if broker or consumer has to restart.
Was running a system that uses multiple msmq's on the same machine, ran fine for about a day then I get the error about Insufficient resources when trying to post a message to one of the queues. Investigated via this blog post:
http://blogs.msdn.com/b/johnbreakwell/archive/2006/09/18/761035.aspx
I don't see anything in there about investigating the dead-letter queue.
Looked at the queues, realized the only queue that had any messages left in it was the transactional dead-letter queue, purged it, now the app(s) run again and can post messages to private queues.
I guess my main question is explain to me the trans dead-letter queue and how I can manage it.
thanks.
There will be nothing in the blog about the Dead Letter Queue as it is just a queue, like any other.
You have messages in the DLQ because you have enabled Negative Source Journaling in your application. An error condition has meant the original messages have died and ended up in the DLQ, as requested by your application. Ideally, if you are using the DLQ, you have a separate thread looking for messages in it.
You should have monitoring enabled on the total number of messages in the server so that you get an early alert when messages start piling up somewhere unexpectedly.
Cheers
John Breakwell
Ran into this issue today with our MSMQ/NServiceBus setup. From what I understand, manual queue purges will move messages to the Transaction Dead Messages queue. Clearing this queue out resolved the problem for us.