I'm currently using RabbitMQ (bunny) at VersionEye to import meta information about GitHub repos via the GitHub API. Depending on the number of the GitHub repos a task can take a view seconds up to a couple minutes. I create a new message/task like this:
queue.publish( msg, :persistent => true )
One of the workers will get the message and perform the work. The worker sets his status (RUNNING, DONE) in Memcached. That way I know when a task is done!
I would like to get rid of Memcached in that process. I would like to get a status to a msg from RabbitMQ. Something like this would be ideal:
status = queue.publish( msg, :persistent => true )
status = queue.status( msg )
Unfortunately I couldn't find anything like that in the RabbitMQ or Bunny docu.
Does anybody know how to get the status of a message from RabbitMQ?
There are no such feature to get specific message status in RabbitMQ out of the box.
Alternatively to Memcache-based solution to track message status you can use RabbitMQ itself - declare message-specific queue in application and track it status. The whole concept is very close to Remote procedure call (RPC). Say, if it doesn't exists - message still in queue, if it exists - check it content (send "message received" message from message consumer when it was received and "message processed" when message will be processed). The biggest cons is that you queues takes some resources - mainly, memory, which matters if you have huge message flow. Also you will have to cleanup response queues (may be done with queue ttl extension - don't be confused with per-queue message ttl).
To use RabbitMQ in a way described above first make sure you really need this (maybe old-school RPC pattern is what you want, + maybe add some message ttl + dead lettering support to limit response time to reasonable time). If you sure, it is always good idea to move tons of queues to separate vhost for ease of maintenance the reset of queues. Also make sure you will not exceed server resources limit.
Related
My problem:
I pull off a message from a RabbitMQ-Queue. I try to process this message and realize that it can't be processed yet. So i would like to add it back to the queue and let it return only on a specific time + 5000ms. Unfortunately that is more challenging than i thought.
What i've tried:
RabbitMQ Dead Letter Attributes -> My issue here is, even though the manual says that the default exchange is binded to every queue it doesnt forward it according to the routing criteria. I've tried to add expires = "5000" and x-dead-letter-routing-key = "queuename" also "x-dead-letter-exchange = "" as the default exchange should work. The only part which works is the expires part. The message will disappear and go into the dark. This also occurs with the dead-letter-exchange beeing amq.direct including the binding on the targeted queue.
Open gaps for me:
Where i'm a bit left in the dark is if the receivers have to be dead letter queues and if i the dead letter queue is a basic queue with extended functionality. It is also not clear if those parameters (x-dead-letter..) are only for DLX Queues. I would like to do this delayed delivery persistent and purely via. the message attributes and not via. queue configurations (only if required).
I've searched on the web and checked many different dead-letter infos. Im trying to build a micro-service like architecture while using RabbitMQ as the delivery mechanism (i use processes which take their work from the queue and forward it). I would believe other people here have the same running already but i couldn't find any blogs about this.
I had to come to the conclusion that on the message level it is not possible.
I've created now for each queue which is in use a separate queue ("name.delayed") , where i can add the message with the argument "expiration" = 5000
The queue settings itself has to be a dead letter queue routing it to the queue "name"
I'm trying to use RabbitMQ in a more unconventional way (though at this point i can pick any other message queue implementation if needed)
I have one queue (I can have more if needed) that where customers are fetching N messages asynchronous. After they do their work I send the results from the client to the db.
I have two problems: first I don't want that they will work on the same message, second I want to grantee that I wont lose messages in case that my customer will close the browser or just stop working.
I looked at the documentation and saw the TTL which was perfect for me if I could alter that message that got timeout isn't going to be deleted but to move to another queue. can't find a way to alter this.
Moreover I looked at the confirmation option which in the first glance looked what I wanted,that mechanism is working like this: when the consumer gets a message he send confirmation to queue, I thought I can delay this confirm and send it when the work is done on the client side.
my problem was that I can't program the queue that if any message didn't get confirm then return it to the queue (or to another).
I also find how to do a scheduled message but it didn't help either because I don't want that the message will be inserted to the queue in five min,I want that when a customer will receive a message it will be locked in the queue for 5 min until confirm to delete is set otherwise return it to the queue.
Can I do temporary queue that enables my mechanism?
If someone can help with one of the problems or suggest another architecture or option to do it in another MQ it would be great.
Resources:
confirmation:
http://www.rabbitmq.com/blog/2011/02/10/introducing-publisher-confirms/
post about locks but his problem was a batcher component:
Locks and batch fetch messages with RabbitMq
TTL:
https://www.rabbitmq.com/ttl.html
Schedule a message:
https://www.rabbitmq.com/blog/2015/04/16/scheduling-messages-with-rabbitmq/
my problem was that I can't program the queue that if any message
didnt get confirm then return it to the queue (or to another).
RabbitMQ does this anyhow, so all you have to do is switch off the auto-ack flag, you figured this out
I thought I can delay this confirm and send it when the work is done
on the client side.
so just send the ACK once you've finished with processing the message.
All the unacknowledged messages remain in the queue and are re-delivered to next consumer (or the same one when it's up again, depending on your setup)
I have a clients that uses API. The API sends messeges to rabbitmq. Rabbitmq to workers.
I ought to reply to clients if somethings went wrong - message wasn't routed to a certain queue and wasn't obtained for performing at this time ( full confirmation )
A task who is started after 5-10 seconds does not make sense.
Appropriately, I must use mandatory and immediate flags.
I can't increase counts of workers, I can't run workers on another servers. It's a demand.
So, as I could find the immediate flag hadn't been supporting since rabbitmq v.3.0x
The developers of rabbitmq suggests to use TTL=0 for a queue instead but then I will not be able to check status of message.
Whether any opportunity to change that behavior? Please, share your experience how you solved problems like this.
Thank you.
I'm not sure, but after reading your original question in Russian, it might be that using both publisher and consumer confirms may be what you want. See last three paragraphs in this answer.
As you want to get message result for published message from your worker, it looks like RPC pattern is what you want. See RabbitMQ RPC tuttorial. Pick a programming language section there you most comfortable with, overall concept is the same. You may also find Direct reply-to useful.
It's not the same as immediate flag functionality, but in case all your publishers operate with immediate scenario, it might be that AMQP protocol is not the best choice for such kind of task. Immediate mean "deliver this message right now or burn in hell" and it might be a situation when you publish more than you can process. In such cases RPC + response timeout may be a good choice on application side (e.g. socket timeout). But it doesn't work well for non-idempotent RPC calls while message still be processed, so you may want to use per-queue or per-message TTL (or set queue length limit). In case message will be dead-lettered, you may get it there (in case you need that for some reason).
TL;DR
As to "something" can go wrong, it can go so on different levels which we for simplicity define as:
before RabbitMQ, like sending application failure and network problems;
inside RabbitMQ, say, missed destination queue, message timeout, queue length limit, some hard and unexpected internal error;
after RabbitMQ, in most cases - messages processing application error or some third-party services like data persistence or caching layer outage.
Some errors like network outage or hardware error are a bit epic and are not a subject of this q/a.
Typical scenario for guaranteed message delivery is to use publisher confirms or transactions (which are slower). After you got a confirm it mean that RabbitMQ got your message and if it has route - placed in a queue. If not it is dropped OR if mandatory flag set returned with basic.return method.
For consumers it's similar - after basic.consumer/basic.get, client ack'ed message it considered received and removed from queue.
So when you use confirms on both ends, you are protected from message loss (we'll not run into a situation that there might be some bug in RabbitMQ itself).
Bogdan, thank you for your reply.
Seems, I expressed my thought enough clearly.
Scheme may looks like this. Each component of system must do what it must do :)
The an idea is make every component more simple.
How to task is performed.
Clients goes to HTTP-API with requests and must obtain a respones like this:
Positive - it have put to queue
Negative - response with error and a reason
When I was talking about confirmation I meant that I must to know that a message is delivered ( there are no free workers - rabbitmq can remove a message ), a client must be notified.
A sent message couldn't be delivered to certain queue, a client must be notified.
How to a message is handled.
Messages is sent for performing.
Status of perfoming is written into HeartBeat
Status.
Clients obtain status from HeartBeat by itself and then decide that
it's have to do.
I'm not sure, that RPC may be useful for us i.e. RPC means that clients must to wait response from server. Tasks may works a long time. Excess bound between clients and servers, additional logic on client-side.
Limited size of queue maybe not useful too.
Possible situation when a size of queue maybe greater than counts of workers. ( problem in configuration or defined settings ).
Then an idea with 5-10 seconds doesn't make sense.
TTL doesn't usefull because of:
Setting the TTL to 0 causes messages to be expired upon reaching a
queue unless they can be delivered to a consumer immediately. Thus
this provides an alternative to basic.publish's immediate flag, which
the RabbitMQ server does not support. Unlike that flag, no
basic.returns are issued, and if a dead letter exchange is set then
messages will be dead-lettered.
direct reply-to :
The RPC server will then see a reply-to property with a generated
name. It should publish to the default exchange ("") with the routing
key set to this value (i.e. just as if it were sending to a reply
queue as usual). The message will then be sent straight to the client
consumer.
Then I will not be able to route messages.
So, I'm sorry. I may flounder in terms i.e. I'm new in AMQP and rabbitmq.
We are currently evaluating RabbitMQ. Trying to determine how best to implement some of our processes as Messaging apps instead of traditional DB store and grab. Here is the scenario. We have a department of users who perform similar tasks. As they submit work to the server applications we would like the server app to send messages back into a notification window saying what was done - to all the users, not just the one submitting the work. This is all easy to do.
The question is we would like these message to live for say 4 hours in the Queue. If a new user logs in or say a supervisor they would get all the messages from the last 4 hours delivered to their notification window. This gives them a quick way to review what has recently happened and what is going on without having to ask others, "have you talked to John?", "Did you email him is itinerary?", etc.
So, how do we publish messages that have a lifetime of x hours from the time they were published AND any new consumers that connect will get all of these messages delivered in chronological order? And preferably the messages just disappear after they have expired from the queue.
Thanks
There is Per-Queue Message TTL and Per-Message TTL in RabbitMQ. If I am right you can utilize them for your task.
In addition to the above answer, it would be better to have the application/client publish messages to two queues. Consumer would consume from one of the queues while the other queue can be configured using per queue-message TTL or per message TTL to retain the messages.
Queuing messages you do to get a message from one point to the other reliable. So the sender can work independently from the receiver. What you propose is working with a temporary persistent store.
A sql database would fit perfectly, but also a mongodb would work nicely. You drop a document in mongo, give it a ttl and let the database handle the expiration.
http://docs.mongodb.org/master/tutorial/expire-data/
In the console pane rabbitmq one day I had accumulated 8000 posts, but I am embarrassed that their status is idle at the counter ready and total equal to 1. What status should be completed at the job, idle? In what format is registered x-pires? It seems to me that I had something wrong =(
While it's difficult to fully understand what you are asking, it seems that you simply don't have anything pulling messages off of the queue in question.
In general, RabbitMQ will hold on to a message in a queue until a listener pulls it off and successfully ACKs, indicating that the message was successfully processed. You can configure queues to behave differently by setting a Time-To-Live (TTL) on messages or having different queue durabilities (eg. destroyed when there are no more listeners), but the default is to play it safe.