NServiceBus Distributor/Worker pattern makes perfect sense for MSMQ due to the hard requirement of local input queues.
But this is not the case with RabbitMQ, I am trying to understand how and when the NServiceBus distributor is relevant with RabbitMQ. With RabbitMQ multiple workers can read from the same remote queue.
The actual scenario is similar to using an AWS auto-scaling group to scale out workers pointing to a high available RabbitMQ cluster. Now avoiding distributor altogether makes the setup much simpler to build, test and provision.
Thoughts?
As RabbitMQ transport falls into the broker style bus, so, in your use case, it would make more sense not to use the distributor.
The same goes for all broker-style transports, where you can use a competing consumer pattern to scale out.
NServiceBus is an excellent system and does wonders in most message queuing system where you don't have an integrated distributor (which you do with exchanges in RabbitMQ). We use NServiceBus here at our company.
Azure Queues and MSMQ are perfect examples of such queuing technologies.
NServiceBus handles the distribution internally and therefore reproduces this capability for you.
However... If you are blessed with the possibility of imposing what queuing technology you can use, then I would highly encourage you to look into RabbitMQ and a product (Open Source) called MassTransit
http://masstransit-project.com/
MassTransit can in turn function in the two modes and will either delegate or simulate the distribution for you - however I nonetheless have a soft spot for NServiceBus as do our senior devs here.
Per this page...
http://docs.particular.net/nservicebus/load-balancing-with-the-distributor
Using the distributor is only useful when using MSMQ - if you aren't using MSMQ then there is no point. RabbitMQ and other transport will allow access to the same queue from multiple consumers, while MSMQ will not. The distributor in a nutshell will take messages from the main queue and distribute them across multiple worker queues as they report that they are done with whatever they are working on.
Related
Is not Apache Kafka another implementation of JMS?
I am using JMS+AMQ in my application, and migrating to Apache Kafka. Do I have to change all JMS codes?
No, Kafka is different from JMS systems such as ActiveMQ.
see ActiveMQ vs Apollo vs Kafka
Kafka has less features than ActiveMQ, as the stress has been put on performances. So before migrating, check that the features you use in AMQ are in Kafka.
However, there is an open suggestion for a bridge between JMS and Kafka, to allow exactly what you need. Maybe the provided links can help you
https://issues.apache.org/jira/browse/KAFKA-1995
Actually, the two are not the same. And with a little more time seeing the two co-exist - and listening to problems and happy points from those deploying each in the field - there is a little more to say about each one.
Firstly, JMS supports both point-to-point messaging (where messages are sent to single consumers; the consumers themselves maintain their message queues) and the publish-and-subscribe (pub/sub) model (where messages are written to a single topic, and consumers, independently, decide which messages to consume).
In a point-to-point messaging architecture, message producers and consumers know each other, where as in a pub/sub model they do not. Apache Kafka focuses on a pub/sub model, maintaining a separate log/topic from which consumers read from offsets. Kafka is also built for the cloud, with high-throughput a core consideration.
Many in our community and at meetups throw their hands up in frustration at MOMs (message-oriented middlewares) like JMS and switch to Kafka, for, what boils down to one reason: scalability. They argue that Kafka is better suited for scale than other MOMs because Kafka maintains a partitioned topic log. In so doing, Kafka can split up message flow to groups of consumers by partition and batch transmit the messages.
This concept also allows Kafka to have more granular control over ACLs (access control) to Kafka Consumers, although there are some issues there, which Apache Pulsar is addressing.
Finally, on Kafka, since the client/consumer decides which messages to consume (by offset in the topic), this removes some of the producer-side complexity of routing rules built into MOMs like JMS.
There's more differences than that, but this is a distillation of some of the ones that keep coming up! Hope this helps.
No, Kafka uses its own non-standard protocol and clients.
However, there's a 3rd-party JMS Client for Kafka from Confluent.
I would like to use MassTransmit similar to NServiceBus, every publisher and subscriber has a local queue. However I want to use RabbitMQ.
So do all my desktop clients have to have RabbitMQ installed, I think so, then should I just connect the 50 desktop clients and 2 servers into a cluster?
I know the two servers must be in the same cluster. However 50 client nodes, seems a bi tmuch to put in one cluster.....Or should I shovel them or Federate them to the server cluster exchange?
The desktop machine send messages like: LockOrder, UnLock Order.
The Servers are dealing with backend hl7 messages.
Any help and advice here is much appreciated, this is all on windows machines.
Basically I am leaving NServiceBus behind, as it is now too expensive, they aiming it at large corporations with big budgets, hence Masstransmit.
However I want reliable/durable messaging, hence local queues on ALL publishers and ALL subscribers.
The desktops also use CQS to update their views.
should I just connect the 50 desktop clients and 2 servers into a cluster?
Yes, you have to connected your clients to the cluster.
However 50 client nodes, seems a bi tmuch to put in one cluster.
No, (or it depends how big are your servers) 50 clients is a small number
Or should I shovel them or Federate them to the server cluster exchange?
The desktop machine send messages like: LockOrder, UnLock Order.
I think it's better the cluster, because federation and shovel are asynchronous, it means that your LockOrder could be not replicated in time.
However I want reliable/durable messaging, hence local queues on ALL publishers and ALL subscribers
Withe RMQ you can create a persistent queue and messages, and it is not necessary if the client(s) is connected. It will get the messages when it will connect to the broker.
I hope it helps.
I have a FOSS ESB rpoject called Shuttle, if you would like to give it a spin: https://github.com/Shuttle/shuttle-esb
I haven't used NServiceBus for a while and actually started Shuttle when it went commercial. The implementation is somewhat different from NServiceBus. I don't know MassTransit at all, though. Currently process managers (sagas) have to be hand-rolled in Shuttle whereas MassTransit and NServiceBus have this incorporated. If I do get around to adding sagas I'll be adding them as a Module that can be plugged into the receiving pipeline. This way one could have various implementations and choose the flavour you like :)
Back to your issue. Shuttle has the concept of an optional outbox for queuing technologies like RabbitMQ. Shuttle does have a RabbitMQ implementation. I believe the outbox works somewhat like 'shovel' does. So the outbox would be local and sending messages would first go to the outbox. It would periodically try to send messages on to the recipients and, after a configurable number of attempts, send the message to an error queue. It can then be returned to the outbox for further attempts, or even moved directly to the recipient queue once it is up.
Documentation here: http://shuttle.github.io/shuttle-esb/
We are looking at using ActiveMQ as the message transport with NServiceBus, instead of MSMQ, to enable Java endpoints to directly integrate with .NET endpoints over ActiveMQ.
By default NServiceBus endpoints run in a distributed transaction involving MSMQ and SQL Server. Is there the same level of support for distributed transactions in NServiceBus when the message transport is ActiveMQ? Are there any other drawbacks to using ActiveMQ with NServiceBus as compared to MSMQ?
We've actually uncovered issues with the .net client of ActiveMQ - it doesn't support distributed transactions well enough. While we've tried to work with the committers over there, we still haven't been able to get this fully resolved.
At this point in time, if you want to use ActiveMQ on .net (with or without NServiceBus) you'll have to take care of deduplicating any messages flowing through your system.
We're working hard to build this kind of infrastructure-level deduplication logic into NServiceBus such that queues like RabbitMQ and Azure Service Bus that don't support distributed transactions give the same behavior as MSMQ.
From the book Learning NServiceBus by David Boike:
Like MSMQ, ActiveMQ supports the DTC which ensures that our message handlers remain fully transactional.
As far as drawbacks go:
ActiveMQ server does not support DTC transactions for deferred messages.
Other issues are reported on the NServiceBus.ActiveMQ GitHub site. I recommend perusing the list.
Can I access SEDA or VM queue from another machine or JVM?
I actually want to implement load balancing with the help of Camel but do not want introduce another messaging framework for this. I just want to distribute load to different consumers from a producers using some in built queue.
Is it possible? If no then what are my options?
Another Approach:(Pull Approach)
Not sure how optimum new approach is or what are the advantages and disadvantages of new approach, So please help me to analyze this approach.
Messages will be put into a Master queue and all the worker systems will be listening to Master queue.Let's say 100,000 messages are being put into Master queue and 5 worker systems are listening to it. Worker systems will process the messages one by one from the master queue. There are two big benefits with this approach:
I don't need to worry about registering my worker systems with the producer. Sixth system just boot up and start listening to Master queue.
I don't need to worry about sending message to a consumer system which is free. When worker system will be done processing a message, it pick up another one from the Master queue.
Let me know your thoughts on it.
SEDA and VM:// work only on the same JVM.
Load balancing in Java messaging is usually achieved using the JMS and Competing Consumers pattern. You send messages to the queue and multiple consumers compete to process them.
If broker with its queue becomes a bottleneck - consider using fan-out pattern and the network of brokers.
SEDA and VM endpoints are valid for the host Context and JVM respectively. To facilitate JVM-to-JVM messaging you will need to use an over-the-wire protocol component such as, but not limited to, Mina, HTTP or JMS.
The easiest way is to use jms. If you have n routes listening on the same jms queue then they will automatically load balance. If one goes away the load will be balanced over the remaining ones. I recommend starting with ActiveMQ as it is very easy to setup and well integrated with Camel.To make the broker highly available you can either setup two standalone brokers or setup one embedded broker per camel instance.
I am wondering if there is a way to setup NServiceBus so that the machine actually getting the message from a publisher does not have the InputQueue on it. Also, I would like to publish to a general queue (though this can be accomplished with a web service.)
I am thinking I may use this to allow client machines to post and receive events. But the client machines are fairly locked down. If I need to have queues created on them I can, but it would be easier to have the queues uniquely named and in a more central location.
I am new to NServiceBus and pub/sub in general. So if I am off base on what I want please say so.
This sounds like the perfect candidate for an alternate queuing infrastructure beyond MSMQ--such as Azure Queues or Amazon SQS. With those types of queues you have no infrastructure to install on the client machines and everything is much more centralized.
Before you go down that road though, you'll want to get the basics of publish/subscribe under you. Pub/sub using MSMQ and NServiceBus has a decent learning curve to it and if you aren't familiar with how things work at that level then moving to cloud queues may be even more tricky.