i would like to know what is the best practice for processing messages from the queue if i need to make sure that another message (has same product Id) at the same time is not being processed by another consumer.
my problem is that if someone places and order with product ids and another message comes with same products i want to process them one by one, but not in parallel.
i am thinking of using redis where i would save the ids that are being processed and clear them after the processing is over. But maybe there are some better solutions for this kind of situation.
In rabbitmq, messages in same queue are ordered by "publish order". It means, messages will be received in the same order that they were sent to queue.
Take a look about ordering of messages : https://www.rabbitmq.com/semantics.html#ordering
If you want to consume messages exactly in publish order, you should use a "direct exchange" with one queue.
Also you must have exactly one consumer, with concurrency limit set to one.
Related
I want to implement a priority work queue, in which the priority of a group of messages can change once they are in the queue. Since it is a work queue with variable processing time, the messages are not assigned using round-robin algorithm, but are pulled from the queue when a resource is free (using per-consumer limit).
I came up with 2 ideas for implementation:
Use priority queue from RabbitMQ, and when a request for priority change comes, read messages with this priority from the queue and re-send them with different priority. (I am not sure this is a good approach, given the O(n) complexity.)
Use several queues with distinct names for each group of messages, and use a separate queue to communicate the current priority list (ordered list of queue names) to workers. (Using this approach, I am not sure how to make the list of priorities "persistent", so that newly joined worker knows what is the current priority list.)
How would you implement it? Is RabbitMQ viable option for this use case?
your idea "priority of a message can change once they are in the queue" IMO is not possible with rabbitmq because rabbitmq only allows you to get messages from the head of a queue.
for example:
you have N queues each used for a different priority
each queue has 100+ messages
your idea requires you to reach into the middle of a queue to get a specific message but this is not possible with rabbitmq so the thought experiment stops here because you can only get messages at the head of a queue
your idea IMO would require using something else besides rabbitmq.
a quick and dirty idea that would work with rabbitmq now and is similar to your idea:
create one rabbitmq queue with N priorities
submit a message with priority x
if you need to change the priority to higher priority like priority y then you could send the same message again but with a new higher priority y
this would ensure the new message is processed faster
the side effect is that you may process the same request twice
you could fix the side effect in your design by having a some sort of database for synchronization to keep track of what jobs are completed and then this could avoid processing the job twice
there are many other details that would need to be addressed like keeping the original message around somehow outside of rabbitmq, concurrency, etc, etc,
I am trying to use Spring JMS and ActiveMQ to process a large number of messages. The context of the problem is the following:
Each customer produces a set of messages that are added to the queue. The messages are added to the queue with the customer id as parameter.
In one case, customer A can add 10k messages to the queue, while customer B only adds 100 messages to that same queue. My issue is customer B needs to wait until all the 10k messages have finished processing before its 100 messages are processed.
Is there a way to process some of messages of customer A and some of the messages of customer B at the same time? I know there is the option to set a higher priority on the messages from customer B, but that does not solve the issue when there is more multiple customers. The customer with the more messages will fill-up the queue while the others will have to wait.
I would appreciate if you could provide some help or advice.
The basic semantic of a queue is first-in-first-out (i.e. FIFO). There's no real way to escape that. I recommend you redesign your application to use multiple queues - one for each "type" of message or independent application you have.
I would say you can fine tune your activemq the number of messages it is processing in batches. Also, there are way you can fine tune a given Broker and queue. For more details refer this link:
http://activemq.apache.org/performance-tuning
https://access.redhat.com/documentation/en-US/Fuse_ESB/4.4.1/html-single/ActiveMQ_Tuning_Guide/index.html
I think I have find the solution to the issue. It involves using message groups. For each message I set the property JMSXGroupID with an identifier for the customer.
Since they are multiple message groups the queue takes care of assigning messages from different groups to different consumers. In that way, documents from customer B can be processed while the ones from customer A are still being processed.
I have a question about multi consumer concurrency.
I want to send works to rabbitmq that comes from web request to distributed queues.
I just want to be sure about order of works in multiple queues (FIFO).
Because this request comes from different users eech user requests/works must be ordered.
I have found this feature with different names on Azure ServiceBus and ActiveMQ message grouping.
Is there any way to do this in pretty RabbitMQ ?
I want to quaranty that customer's requests must be ordered each other.
Each customer may have multiple requests but those requests for that customer must be processed in order.
I desire to process quickly incoming requests with using multiple consumer on different nodes.
For example different customers 1 to 1000 send requests over 1 millions.
If I put this huge request in only one queue it takes a lot of time to consume. So I want to share this process load between n (5) node. For customer X 's requests must be in same sequence for processing
When working with event-based systems, and especially when using multiple producers and/or consumers, it is important to come to terms with the fact that there usually is no such thing as a guaranteed order of events. And to get a robust system, it is also wise to design the system so the message handlers are idempotent; they should tolerate to get the same message twice (or more).
There are way to many things that may (and actually should be allowed to) interfere with the order;
The producers may deliver the messages in a slightly different pace
One producer might miss an ack (due to a missed package) and will resend the message
One consumer may get and process a message, but the ack is lost on the way back, so the message is delivered twice (to another consumer).
Some other service that your handlers depend on might be down, so that you have to reject the message.
That being said, there is one pattern that servicebus-systems like NServicebus use to enforce the order messages are consumed. There are some requirements:
You will need a centralized storage (like a sql-server or document store) that allows for conditional updates; for instance you want to be able to store the sequence number of the last processed message (or how far you have come in the process), but only if the already stored sequence/progress is the right/expected one. Storing the user-id and the progress even for millions of customers should be a very easy operation for most databases.
You make sure the queue is configured with a dead-letter-queue/exchange for retries, and then set your original queue as a dead-letter-queue for that one again.
You set a TTL (for instance 30 seconds) on the retry/dead-letter-queue. This way the messages that appear on the dead-letter-queue will automatically be pushed back to your original queue after some timeout.
When processing your messages you check your storage/database if you are in the right state to handle the message (i.e. the needed previous steps are already done).
If you are ok to handle it you do and update the storage (conditionally!).
If not - you nack the message, so that it is thrown on the dead-letter queue. Basically you are saying "nah - I can't handle this message, there are probably some other message in the queue that should be handled first".
This way the happy-path is to process a great number of messages in the right order.
But if something happens and a you get a message out of band, you will throw it on the retry-queue (the dead-letter-queue) and Rabbit will make sure it will get back in the queue to be retried at a later stage. But only after a delay.
The beauty of this is that you are able to handle most of the situations that may interfere with processing the message (out of order messages, dependent services being down, your handler being shut down in the middle of handling the message) in exact the same way; by rejecting the message and letting your infrastructure (Rabbit) take care of it being retried after a while.
(Assuming the OP is asking about things like ActiveMQs "message grouping:)
This isn't currently built in to RabbitMQ AFAIK (it wasn't as of 2013 as per this answer) and I'm not aware of it now (though I haven't kept up lately).
However, RabbitMQ's model of exchanges and queues is very flexible - exchanges and queues can be easily created dynamically (this can be done in other messaging systems but, for example, if you read ActiveMQ documentation or Red Hat AMQ documentation you'll find all of the examples in the user guides are using pre-declared queues in configuration files loaded at system startup - except for RPC-like request/response communication).
Also it is very easy in RabbitMQ for a consumer (i.e., message consuming thread) to consume from multiple queues.
So you could build, on top of RabbitMQ, a system where you got your desired grouping semantics.
One way would be to create dynamic queues: The first time a customer order was seen or a new group of customer orders a queue would be created with a unique name for all messages for that group - that queue name would be communicated (via another queue) to a consumer who's sole purpose was to load-balance among other consumers that were responsible for handling customer order groups. I.e., the load-balancer would pull off of its queue a message saying "new group with queue name XYZ" and it would find in a pool of order group consumer a consumer which could take this load and pass it a message saying "start listening to XYZ".
Another way to do it is with pub/sub and topic routing - each customer order group would get a unique topic - and proceed as above.
RabbitMQ Consistent Hash Exchange Type
We are using RabbitMQ and we have found a plugin. It use Consistent Hashing algorithm to distribute messages in order to consistent keys.
For more information about Consistent Hashing ;
https://en.wikipedia.org/wiki/Consistent_hashing
https://www.youtube.com/watch?v=viaNG1zyx1g
You can find this plugin from rabbitmq web page
plugin : rabbitmq_consistent_hash_exchange
https://www.rabbitmq.com/plugins.html
I need to choose a new Queue broker for my new project.
This time I need a scalable queue that supports pub/sub, and keeping message ordering is a must.
I read Alexis comment: He writes:
"Indeed, we think RabbitMQ provides stronger ordering than Kafka"
I read the message ordering section in rabbitmq docs:
"Messages can be returned to the queue using AMQP methods that feature
a requeue
parameter (basic.recover, basic.reject and basic.nack), or due to a channel
closing while holding unacknowledged messages...With release 2.7.0 and later
it is still possible for individual consumers to observe messages out of
order if the queue has multiple subscribers. This is due to the actions of
other subscribers who may requeue messages. From the perspective of the queue
the messages are always held in the publication order."
If I need to handle messages by their order, I can only use rabbitMQ with an exclusive queue to each consumer?
Is RabbitMQ still considered a good solution for ordered message queuing?
Well, let's take a closer look at the scenario you are describing above. I think it's important to paste the documentation immediately prior to the snippet in your question to provide context:
Section 4.7 of the AMQP 0-9-1 core specification explains the
conditions under which ordering is guaranteed: messages published in
one channel, passing through one exchange and one queue and one
outgoing channel will be received in the same order that they were
sent. RabbitMQ offers stronger guarantees since release 2.7.0.
Messages can be returned to the queue using AMQP methods that feature
a requeue parameter (basic.recover, basic.reject and basic.nack), or
due to a channel closing while holding unacknowledged messages. Any of
these scenarios caused messages to be requeued at the back of the
queue for RabbitMQ releases earlier than 2.7.0. From RabbitMQ release
2.7.0, messages are always held in the queue in publication order, even in the presence of requeueing or channel closure. (emphasis added)
So, it is clear that RabbitMQ, from 2.7.0 onward, is making a rather drastic improvement over the original AMQP specification with regard to message ordering.
With multiple (parallel) consumers, order of processing cannot be guaranteed.
The third paragraph (pasted in the question) goes on to give a disclaimer, which I will paraphrase: "if you have multiple processors in the queue, there is no longer a guarantee that messages will be processed in order." All they are saying here is that RabbitMQ cannot defy the laws of mathematics.
Consider a line of customers at a bank. This particular bank prides itself on helping customers in the order they came into the bank. Customers line up in a queue, and are served by the next of 3 available tellers.
This morning, it so happened that all three tellers became available at the same time, and the next 3 customers approached. Suddenly, the first of the three tellers became violently ill, and could not finish serving the first customer in the line. By the time this happened, teller 2 had finished with customer 2 and teller 3 had already begun to serve customer 3.
Now, one of two things can happen. (1) The first customer in line can go back to the head of the line or (2) the first customer can pre-empt the third customer, causing that teller to stop working on the third customer and start working on the first. This type of pre-emption logic is not supported by RabbitMQ, nor any other message broker that I'm aware of. In either case, the first customer actually does not end up getting helped first - the second customer does, being lucky enough to get a good, fast teller off the bat. The only way to guarantee customers are helped in order is to have one teller helping customers one at a time, which will cause major customer service issues for the bank.
It is not possible to ensure that messages get handled in order in every possible case, given that you have multiple consumers. It doesn't matter if you have multiple queues, multiple exclusive consumers, different brokers, etc. - there is no way to guarantee a priori that messages are answered in order with multiple consumers. But RabbitMQ will make a best-effort.
Message ordering is preserved in Kafka, but only within partitions rather than globally. If your data need both global ordering and partitions, this does make things difficult. However, if you just need to make sure that all of the same events for the same user, etc... end up in the same partition so that they are properly ordered, you may do so. The producer is in charge of the partition that they write to, so if you are able to logically partition your data this may be preferable.
I think there are two things in this question which are not similar, consumption order and processing order.
Message Queues can -to a degree- give you a guarantee that messages will get consumed in order, they can't, however, give you any guarantees on the order of their processing.
The main difference here is that there are some aspects of message processing which cannot be determined at consumption time, for example:
As mentioned a consumer can fail while processing, here the message's consumption order was correct, however, the consumer failed to process it correctly, which will make it go back to the queue. At this point the consumption order is intact, but the processing order is not.
If by "processing" we mean that the message is now discarded and finished processing completely, then consider the case when your processing time is not linear, in other words processing one message takes longer than the other. For example, if message 3 takes longer to process than usual, then messages 4 and 5 might get consumed and finish processing before message 3 does.
So even if you managed to get the message back to the front of the queue (which by the way violates the consumption order) you still cannot guarantee they will also be processed in order.
If you want to process the messages in order:
Have only 1 consumer instance at all times, or a main consumer and several stand-by consumers.
Or don't use a messaging queue and do the processing in a synchronous blocking method, which might sound bad but in many cases and business requirements it is completely valid and sometimes even mission critical.
There are proper ways to guarantuee the order of messages within RabbitMQ subscriptions.
If you use multiple consumers, they will process the message using a shared ExecutorService. See also ConnectionFactory.setSharedExecutor(...). You could set a Executors.newSingleThreadExecutor().
If you use one Consumer with a single queue, you can bind this queue using multiple bindingKeys (they may have wildcards). The messages will be placed into the queue in the same order that they were received by the message broker.
For example you have a single publisher that publishes messages where the order is important:
try (Connection connection2 = factory.newConnection();
Channel channel2 = connection.createChannel()) {
// publish messages alternating to two different topics
for (int i = 0; i < messageCount; i++) {
final String routingKey = i % 2 == 0 ? routingEven : routingOdd;
channel2.basicPublish(exchange, routingKey, null, ("Hello" + i).getBytes(UTF_8));
}
}
You now might want to receive messages from both topics in a queue in the same order that they were published:
// declare a queue for the consumer
final String queueName = channel.queueDeclare().getQueue();
// we bind to queue with the two different routingKeys
final String routingEven = "even";
final String routingOdd = "odd";
channel.queueBind(queueName, exchange, routingEven);
channel.queueBind(queueName, exchange, routingOdd);
channel.basicConsume(queueName, true, new DefaultConsumer(channel) { ... });
The Consumer will now receive the messages in the order that they were published, regardless of the fact that you used different topics.
There are some good 5-Minute Tutorials in the RabbitMQ documentation that might be helpful:
https://www.rabbitmq.com/tutorials/tutorial-five-java.html
I have a somewhat unique use case with RabbitMQ and I'm not sure how to go about solving the problem. I want to have one queue with multiple consumers bound to it and then have RabbitMQ send out one message to only one consumer at at time and wait for an ACK before sending out another message to any other consumer.
I realize this kills throughput and can essentially starve the other consumers but for me that's OK. The reason for this odd use case is that the service that the consumers talk to can only handle one concurrent request at a time so I need a way to limit this but consumers can also die unexpectedly and I need another consumer to pick up processing the messages if this happens. I know there is the prefetch option but that still allows multiple users to get a and exclusive queues but I'm not sure those accomplish what I want. Is it possible configure RabbitMQ to do this?
No; there is no way to limit competing consumers on the same queue such that there is one and only one message in process across all consumers until the ack is received.
A similar question came up some time ago; I don't remember if it was here or in the Spring forums but I believe the solution was to have the consumers acquire a global lock of some kind, using something like hazelcast, or even a simple database table row lock (with prefetch=1 so each consumer had only one "in process" message which was processed as and when each one got the lock).