I have an NServiceBus endpoint hosted in an azure worker role using AzureMessageQueue as the transport. I am pretty sure that i will be running the worker role with more than one instance configured in azure. I also have a few messages where order is important.
Here is my question. Is there a way to control the order with this type of setup (azure worker role scaled out)?
Should i be looking at a saga? Techniques like the one described below (using the bus.send(object[] messages) overload) will work in this model, i am guessing, but this is only ideal if there are a few messages due to the size limit on an azure queue.
http://mikaelkoskinen.net/post/NServiceBus-In-order-message-processing.aspx
Bus.Send in batch will help and so will configuring the read batch size from the message queue if messages are small enough, you can definitly control the order of messages this way. Batch send will put multiple message instances in the same physical queue message, while batch read will pull multiple physical messages from the queue in one go and process them in order on the node.
Another option is to synchronize the reads in the message handlers, using leases on blobs. See the code of the nsb timeoutmanager on how to use these for synchronization or have a look at steve marx's blog post on the topic. http://blog.smarx.com/posts/managing-concurrency-in-windows-azure-with-leases
But please do note that azure messages queues DO NOT GUARANTEE ORDER themselves, it's a best effort. If you want to guarantee order at the transport level, you need to use Azure Servicebus Queues with message ordering enabled.
Kind regards,
Yves
Related
We are building spark based jobs. Processing each message delivered by the queue takes time. There is a need to be able to reprioritize one already sent to the queue.
I am aware there is priority queue implementation available, but not sure how to re-prioritize the existing message in the queue?
One bad workaround is to push that message again as higher priority, so that it handled on priority. Later drop the message with same content which had low or no priority when it's turns comes next.
Is there a natural way we can handle this situation or any other queues that supports scenario better?
Unfortunately there isn't. Queues are to be considered as lists of messages in flight. It is not possible to delete/update them.
Your approach of submitting a higher priority message is the only feasible solution.
RabbitMQ is a messaging system (such as the postal one), it is not a DataBase or a storage service. The storage in form of queues is a necessary feature as much as the postal service needs storage for postcards in transit. It is optimized for the purpose and does not allow to access the messages easily.
Consider a group chat scenario where 4 clients connect to a topic on an exchange. These clients each send an receive messages to the topic and as a result, they all send/receive messages from this topic.
Now imagine that a 5th client comes in and wants to read everything that was send from the beginning of time (as in, since the topic was first created and connected to).
Is there a built-in functionality in RabbitMQ to support this?
Many thanks,
Edit:
For clarification, what I'm really asking is whether or not RabbitMQ supports SOW since I was unable to find it on the documentations anywhere (http://devnull.crankuptheamps.com/documentation/html/develop/configuration/html/chapters/sow.html).
Specifically, the question is: is there a way for RabbitMQ to output all messages having been sent to a topic upon a new subscriber joining?
The short answer is no.
The long answer is maybe. If all potential "participants" are known up-front, the participant queues can be set up and configured in advance, subscribed to the topic, and will collect all messages published to the topic (matching the routing key) while the server is running. Additional server configurations can yield queues that persist across server reboots.
Note that the original question/feature request as-described is inconsistent with RabbitMQ's architecture. RabbitMQ is supposed to be a transient storage node, where clients connect and disconnect at random. Messages dumped into queues are intended to be processed by only one message consumer, and once processed, the message broker's job is to forget about the message.
One other way of implementing such a functionality is to have an audit queue, where all published messages are distributed to the queue, and a writer service writes them all to an audit log somewhere (usually in a persistent data store or text file). This would be something you would have to build, as there is currently no plug-in to automatically send messages out to a persistent storage (e.g. Couchbase, Elasticsearch).
Alternatively, if used as a debug tool, there is the Firehose plug-in. This is satisfactory when you are able to manually enable/disable it, but is not a good long-term solution as it will turn itself off upon any interruption of the broker.
What you would like to do is not a correct usage for RabbitMQ. Message Queues are not databases. They are not long term persistence solutions, like a RDBMS is. You can mainly use RabbitMQ as a buffer for processing incoming messages, which after the consumer handles it, get inserted into the database. When a new client connects to you service, the database will be read, not the message queue.
Relevant
Also, unless you are building a really big, highly scalable system, I doubt you actually need RabbitMQ.
Apache Kafka is the right solution for this use-case. "Log Compaction enabled topics" a.k.a. compacted topics are specifically designed for this usecase. But the catch is, obviously your messages have to be idempotent, strictly no delta-business. Because kafka will compact from time to time and may retain only the last message of a "key".
We have multiple web and windows applications which were deployed to different servers that we are planning to integrate using NservierBus to let all apps can pub/sub message between them, I think we using pub/sub pattern and using MSMQ transport will be good for it. but one thing I am not clear if it is a way to avoid hard code to set sub endpoint to MSMQ QueueName#ServerName which has server name in it directly if pub is on another server. on 6-pre I saw idea to set endpoint name then using routing to delegate to transport-level address, is that a solution to do that? or only gateway is the solution? is a broker a good idea? what is the best practice for this scenario?
When using pub/sub, the subscriber currently needs to know the location of the queue of the publisher. The subscriber then sends a subscription-message to that queue, every single time it starts up. It cannot know if it subscribed already and if it subscribed for all the messages, since you might have added/configured some new ones.
The publisher reads these subscriptions messages and stores the subscription in storage. NServiceBus does this for you, so there's no need to write code for this. The only thing you need is configuration in the subscriber as to where the (queue of the) publisher is.
I wrote a tutorial myself which you can find here : http://dennis.bloggingabout.net/2015/10/28/nservicebus-publish-subscribe-tutorial/
That being said, you should take special care related to issues regarding websites that publish messages. More information on that can be found here : http://docs.particular.net/nservicebus/hosting/publishing-from-web-applications
In a scale out situation with MSMQ, you can also use the distributor : http://docs.particular.net/nservicebus/scalability-and-ha/distributor/
As a final note: It depends on the situation, but I would not worry too much about knowing locations of endpoints (or their queues). I would most likely not use pub/sub just for this 'technical issue'. But again, it completely depends on the situation. I can understand that rich-clients which spawn randomly might want this. But there are other solutions as well, with a more centralized storage and an API that is accessed by all the rich clients.
I have a middleware based on Apache Camel which does a transaction like this:
from("amq:job-input")
to("inOut:businessInvoker-one") // Into business processor
to("inOut:businessInvoker-two")
to("amq:job-out");
Currently it works perfectly. But I can't scale it up, let say from 100 TPS to 500 TPS. I already
Raised the concurrent consumers settings and used empty businessProcessor
Configured JAVA_XMX and PERMGEN
to speed up the transaction.
According to Active MQ web Console, there are so many messages waiting for being processed on scenario 500TPS. I guess, one of the solution is scale the ActiveMQ up. So I want to use multiple brokers in cluster.
According to http://fuse.fusesource.org/mq/docs/mq-fabric.html (Section "Topologies"), configuring ActiveMQ in clustering mode is suitable for non-persistent message. IMHO, it is true that it's not suitable, because all running brokers use the same store file. But, what about separating the store file? Now it's possible right?
Could anybody explain this? If it's not possible, what is the best way to load balance persistent message?
Thanks
You can share the load of persistent messages by creating 2 master/slave pairs. The master and slave share their state either though a database or a shared filesystem so you need to duplicate that setup.
Create 2 master slave pairs, and configure so called "network connectors" between the 2 pairs. This will double your performance without risk of loosing messages.
See http://activemq.apache.org/networks-of-brokers.html
This answer relates to an version of the question before the Camel details were added.
It is not immediately clear what exactly it is that you want to load balance and why. Messages across consumers? Producers across brokers? What sort of concern are you trying to address?
In general you should avoid using networks of brokers unless you are trying to address some sort of geographical use case, have too many connections for a signle broker to handle, or if a single broker (which could be a pair of brokers configured in HA) is not giving you the throughput that you require (in 90% of cases it will).
In a broker network, each node has its own store and passes messages around by way of a mechanism called store-and-forward. Have a read of Understanding broker networks for an explanation of how this works.
ActiveMQ already works as a kind of load balancer by distributing messages evenly in a round-robin fashion among the subscribers on a queue. So if you have 2 subscribers on a queue, and send it a stream of messages A,B,C,D; one subcriber will receive A & C, while the other receives B & D.
If you want to take this a step further and group related messages on a queue so that they are processed consistently by only one subscriber, you should consider Message Groups.
Adding consumers might help to a point (depends on the number of cores/cpus your server has). Adding threads beyond the point your "Camel server" is utilizing all available CPU for the business processing makes no sense and can be conter productive.
Adding more ActiveMQ machines is probably needed. You can use an ActiveMQ "network" to communicate between instances that has separated persistence files. It should be straight forward to add more brokers and put them into a network.
Make sure you performance test along the road to make sure what kind of load the broker can handle and what load the camel processor can handle (if at different machines).
When you do persistent messaging - you likely also want transactions. Make sure you are using them.
If all running brokers use the same store file or tx-supported database for persistence, then only the first broker to start will be active, while others are in standby mode until the first one loses its lock.
If you want to loadbalance your persistence, there were two way that we could try to do:
configure several brokers in network-bridge mode, then send messages
to any one and consumer messages from more than one of them. it can
loadbalance the brokers and loadbalance the persistences.
override the persistenceAdapter and use the database-sharding middleware
(such as tddl:https://github.com/alibaba/tb_tddl) to store the
messages by partitions.
Your first step is to increase the number of workers that are processing from ActiveMQ. The way to do this is to add the ?concurrentConsumers=10 attribute to the starting URI. The default behaviour is that only one thread consumes from that endpoint, leading to a pile up of messages in ActiveMQ. Adding more brokers won't help.
Secondly what you appear to be doing could benefit from a Staged Event-Driven Architecture (SEDA). In a SEDA, processing is broken down into a number of stages which can have different numbers of consumer on them to even out throughput. Your threads consuming from ActiveMQ only do one step of the process, hand off the Exchange to the next phase and go back to pulling messages from the input queue.
You route can therefore be rewritten as 2 smaller routes:
from("activemq:input?concurrentConsumers=10").id("FirstPhase")
.process(businessInvokerOne)
.to("seda:invokeSecondProcess");
from("seda:invokeSecondProcess?concurentConsumers=20").id("SecondPhase")
.process(businessInvokerTwo)
.to("activemq:output");
The two stages can have different numbers of concurrent consumers so that the rate of message consumption from the input queue matches the rate of output. This is useful if one of the invokers is much slower than another.
The seda: endpoint can be replaced with another intermediate activemq: endpoint if you want message persistence.
Finally to increase throughput, you can focus on making the processing itself faster, by profiling the invokers themselves and optimising that code.
I'm thinking of adding a queue function in a product based on a bunch of WCF services. I've read some about MSMQ, first I thought that was what I needed but I'm not sure and are considering to just put the queue in a database table. I wonder if somone here got some feedback on which way to go.
Basicly I'm planning to have a facade WCF service called over http. The facade service should only write all incoming messages to a queue to give a fast response to the calling system. The messages in the queue should then be processed by another component, either a WCF service or a Windows service depending om my choice of queue.
The product is running in a load balanced enviroment with 2 to n web servers.
The options I'm considering and the questions I got are:
To let the facade WCF write to a MSMQ and then have anothther WCF service reading from this queue to do the processing of the messages. What I don't feel confident about for this alternative from what I've read is how this will work in a load balanced enviroment.
1A. Where should the MSMQ(s) be placed? One on each web server? One on a separate server? Mulitple on a separate server? (not considering need of redundance and that data in rare cases could be lost and re-sent)
1B. How it the design affected if I want the system redundant? I'd like to be alble to lose a server (it never comes up online again) holding the MSMQ without losing the data in that queue. From what I've read about MSMQ that leaves me to the only option of placing the MSMQ on a windows cluster. Is that correct? (I'd like to avoid using a windows cluster fo this).
The second design alternative is to let the facade WCF service write the queue to a database. Then have two or more Windows services to do the processing of the queue. I don't have any questions on this alternative. If you wonder why I don't pick this one as it seems simpler to me then it is because I'd like to build this not introducing any windows services to the solution, that I beleive the MSMQ got functionality I don't want to code myself and I'm also curious about using MSMQ as I've never used it before.
Best Regards
Håkan
OK, so you're not using WCF with MSMQ integration, you're using WCF to create MSMQ messages as an end-product. That simplifies things to "how do I load balance MSMQ?"
The arrangement you use is based on what works best for you.
You could have multiple webservers sending messages to a remote queue on a central machine.
Instead you could have a webservers putting messages in local queues with a central machine polling the queues for new arrivals.
You don't need to cluster MSMQ to make it resilient. You can instead make your code resilient so that it copes with lost messages using dead letter queues, transactional queues, journaling, and so on. Hardware clustering is the easy option :-)
Load-balancing MSMQ - a brief
discussion
Oil and water - MSMQ transactional
messages and load balancing
After reading some more on the subjet I haver decided to not use MSMQ. It seems like I really got no reason to go down this road. I need this to be non-transactional and as I understand it none of the journaling or dead letter techniques will help me with my redundancy requirement.
All my components will be online most of the time (maybe a couple of hours per year when they got access problems).
The MSQM will only add complexity to the exciting solution, another technique and maybe another server to keep track of.
To get full redundance to prevent data loss in MSMQ I will need a windows cluster or implement send/recieve to multiple identical queues. I don't want to do either of those.
All this lead me to front my recieving application with a WCF facade accepting http calls writing to a database queue. This database is already protected from data loss. The queue will be polled by muliple active instances of a Windows Servce containing all the heavy business logic. With low process priority these services could be hosted on the already existing nodes used by the load balaced web application. If I got time to use MSMQ or if I needed it for another reason in my application I might change my decision.