RabbitMQ offers a Priority Queue, where messages may have a priority and are delivered to consumers in reverse priority.
Using the Bunny gem, I create a prioritized queue. Then, I publish 5 messages with no priority, and 2 messages with priority 1, and check my consumer's log. Unfortunately, my consumer tells me it processes the 5 no priority messages, then the 2 messages with priority. I made sure that each message takes at least 2 seconds to process, by adding a sleep. My channel's prefetch is also set to 1. Here's sample code I used
require "bunny"
require "logger"
logger = Logger.new(STDERR)
bunny = Bunny.new(ENV["AMQP_URL"], logger: logger)
bunny.start
at_exit { bunny.stop }
channel = bunny.channel
channel.prefetch 1
routing_key = "build-show-report"
exchange = channel.exchange("signals", passive: true)
queue = channel.queue("signal.#{routing_key}", durable: true, arguments: {"x-max-priority" => 3})
queue.bind(exchange, routing_key: routing_key)
queue.subscribe(manual_ack: true, block: false) do |delivery_info, properties, payload|
logger.info "Received #{payload}"
sleep 2
channel.acknowledge(delivery_info.delivery_tag, false)
end
5.times {|n| exchange.publish(n.to_s, routing_key: "build-show-report")}
2.times {|n| exchange.publish((10*n).to_s, routing_key: "build-show-report", priority: 1)}
sleep 30
I expected to see the first low-priority message, then the 2 high-priority ones, then the remaining low-priority ones.
It seems like the priority option on #publish is ignored. What am I doing wrong?
The mostly likely reason is mentioned in the docs in the "Interaction with consumers" section: messages that are delivered to consumers immediately without hitting the message store first are not prioritised.
Related
I'have this configuration of MassTransit (RabbitMQ) on my consumer. The retry policy is to resend messages when there is any Timeout for a max of 5 intervals.
ep.ConfigureConsumer<T>(ctx,
c => {
c.UseMessageRetry(r =>
{
r.Interval(5, TimeSpan.FromMinutes(30));
r.Handle<Exception>(m => m.GetFullMessage().Contains("Timeout"));
r.Ignore(typeof(ApplicationException));
});
c.UseConcurrentMessageLimit(1);
});
ep.Bind(massTransitSettings.ExchangeName, y =>
{
y.Durable = true;
y.AutoDelete = false;
y.ExchangeType = massTransitSettings.ExchangeType;
y.RoutingKey = massTransitSettings.RoutingKey;
});
});
Everything works fine except when, sometimes, two consecutive timeouts occur of the same message;
Here a part of log file for message id: fa300000-56b5-0050-e012-08d9f39bc934
19/02/2022 12:34:28.699 - PAYMENT INCOMING Message -> Sql timeout, retry in 30 min
19/02/2022 13:04:28.572 - PAYMENT INCOMING Message -> 2th Sql timeout, retry in 30 min
19/02/2022 13:34:59.722 - PAYMENT INCOMING Message -> Process ok
19/02/2022 13:35:13.983 - PAYMENT HANDLED Message -> Message handled (74 secs)
19/02/2022 13:35:31.606 - PAYMENT INCOMING Message -> This should not incoming, causing an Application Exception (message in _error queue)
Where am I wrong?
You can't use message retry for intervals that long, since RabbitMQ has a default consumer timeout of 30 minutes. Per the documentation:
MassTransit retry filters execute in memory and maintain a lock on the message. As such, they should only be used to handle short, transient error conditions. Setting a retry interval of an hour would fall into the category of bad things. To retry messages after longer waits, look at the next section on redelivering messages.
For longer retry intervals, use message redelivery (sometimes called second-level retry). If you're using RabbitMQ, the built-in delayed redelivery requires the delayed-exchange plug-in. Or you can use an external message scheduler.
I have a http server which receives some messages and must reply 200 when a message is successfully stored in a queue and 500 is the message is not added to the queue.
I would like rabbitmq to refuse my messages when the queue reach a size limit.
How can I do it?
actually you can't configure RabbitMq is such a way. but you may programatically check queue size like:
`DeclareOk queueOkStatus = channel.queueDeclare(queueOutputName, true, false, false, null);
if(queueOkStatus.getMessageCount()==0){//your logic here}`
but be careful, because this method returns number of non-acked messages in queue.
If you want to be aware of this , you can check Q count before inserting. It sends request on the same channel. Asserting Q returns messageCount which is Number of 'Ready' Messages. Note : This does not include the messages in unAcknowledged state.
If you do not wish to be aware of the Q length, then as specified in 1st comment of the question:
x-max-length :
How many (ready) messages a queue can contain before it starts to drop them from its head.
(Sets the "x-max-length" argument.)
we have setup some workflow environment with Rabbit.
It solves our needs but I like to know if it is also good practise to do it like we do for scheduled tasks.
Scheduling means no mission critical 100% adjusted time. So if a job should be retried after 60 seconds, it does mean 60+ seconds, depends on when the queue is handled.
I have created one Q_WAIT and made some headers to transport settings.
Lets do it like:
Worker is running subscribed on Q_ACTION
If the action missed (e.g. smtp server not reachable)
-> (Re-)Publish the message to Q_WAIT and set properties.headers["scheduled"] = time + 60seconds
Another process loops every 15 seconds through all messages in Q_WAIT by method pop() and NOT by subscribed
q_WAIT.pop(:ack => true) do |delivery_info,properties,body|...
if (properties.headers["scheduled"] has reached its time)
-> (Re-)Publish the message back to Q_ACTION
ack(message)
after each loop, the connection is closed so that the NOT (Re-)Published are left in Q_WAIT because they were not acknowledged.
Can someone confirm this as a working (good) practise.
Sure you can use looping process like described in original question.
Also, you can utilize Time-To-Live Extension with Dead Letter Exchanges extension.
First, specify x-dead-letter-exchange Q_WAIT queue argument equal to current exchange and x-dead-letter-routing-key equal to routing key that Q_ACTION bound.
Then set x-message-ttl queue argument set or set message expires property during publishing if you need custom per-message ttl (which is not best practice though while there are some well-known caveats, but it works too).
In this case your messages will be dead-lettered from Q_WAIT to Q_ACTION right after their ttl expires without any additional consumers, which is more reliable and stable.
Note, if you need advanced re-publish logic (change message body, properties) you need additional queue (say Q_PRE_ACTION) to consume messages from, change them and then publish to target queue (say Q_ACTION).
As mentioned here in comments I tried that feature of x-dead-letter-exchange and it worked for most requirements. One question / missunderstandig is TTL-PER-MESSAGE option.
Please look on the example here. From my understanding:
the DLQ has a timeout of 10 seconds
so first message will be available on subscriber 10 seconds after publishing.
the second message is posted 1 second after the first with a message-ttl (expiration) of 3 seconds
I would expect the second message should be prounounced after 3 seconds from publishing and before first message.
But it did not work like that, both are available after 10 seconds.
Q: Shouldn't the message expiration overrule the DLQ ttl?
#!/usr/bin/env ruby
# encoding: utf-8
require 'bunny'
B = Bunny.new ENV['CLOUDAMQP_URL']
B.start
DELAYED_QUEUE='work.later'
DESTINATION_QUEUE='work.now'
def publish
ch = B.create_channel
# declare a queue with the DELAYED_QUEUE name
q = ch.queue(DELAYED_QUEUE, :durable => true, arguments: {
# set the dead-letter exchange to the default queue
'x-dead-letter-exchange' => '',
# when the message expires, set change the routing key into the destination queue name
'x-dead-letter-routing-key' => DESTINATION_QUEUE,
# the time in milliseconds to keep the message in the queue
'x-message-ttl' => 10000,
})
# publish to the default exchange with the the delayed queue name as routing key,
# so that the message ends up in the newly declared delayed queue
ch.basic_publish('message content 1 ' + Time.now.strftime("%H-%M-%S"), "", DELAYED_QUEUE, :persistent => true)
puts "#{Time.now}: Published the message 1"
# wait moment before next publish
sleep 1.0
# puts this with a shorter ttl
ch.basic_publish('message content 2 ' + Time.now.strftime("%H-%M-%S"), "", DELAYED_QUEUE, :persistent => true, :expiration => "3000")
puts "#{Time.now}: Published the message 2"
ch.close
end
def subscribe
ch = B.create_channel
# declare the destination queue
q = ch.queue DESTINATION_QUEUE, durable: true
q.subscribe do |delivery, headers, body|
puts "#{Time.now}: Got the message: #{body}"
end
end
subscribe()
publish()
sleep
I want to consume multiple messages from specific queue or a specific exchange with a given key.
so the scenario is as follow:
Publisher publish message 1 over queue 1
Publisher publish message 2 over queue 1
Publisher publish message 3 over queue 1
Publisher publish message 4 over queue 2
Publisher publish message 5 over queue 2
..
Consumer consume messages from queue 1
get [message 1, message 2, message 3] all at once and handle them in one call back
listen_to(queue_name , num_of_msg_to_fetch or all, function(messages){
//do some stuff with the returned list
});
the messages are not coming at the same time, it is like events and i want to collect them in a queue, package them and send them to a third party.
I also read this post:
http://rabbitmq.1065348.n5.nabble.com/Consuming-multiple-messages-at-a-time-td27195.html
Thanks
Don't consume directly from the queue as queues follow round robin algorithm(an AMQP mandate)
Use shovel to transfer the queue contents to a fanout exchange and consume messages right from this exchange. You get all messages across all connected consumers. :)
If you want to consume multiple messages from specific queue, you can try as below.
channel.queueDeclare(QUEUE_NAME, false, false,false, null);
Consumer consumer = new DefaultConsumer(channel){
#Override
public void handleDelivery(String consumerTag,
Envelope envelope,
AMQP.BasicProperties properties,
byte[] body)
throws IOException {
String message = new String(body, "UTF-8");
logger.info("Recieved Message --> " + message);
}
};
You might need to conceptually separate domain-message from RMQ-message. As a producer you'd then bundle multiple domain messages into a single RMQ-message and .produce() it to RMQ. Remember this kind of design introduces timeouts and latencies due to the existence of a window (you might take some impression from Kafka that does bundling to optimize I/O at the cost of latency).
As a consumer then, you'd have a consumer, with typical .handleDelivery implementation that would transform the received body for the processing: byte[] -> Set[DomainMessage] -> your listener.
Up until now, my RabbitMQ consumer clients have used a prefetch value of 1. I'm looking to increase the value in order to gain performance. If I set the value to 2, will the RabbitMQ server send each consumer 2 messages at once such that I will need to parse the two messages and store the second one in a List until the first is processed and acknowledged? Or will the API handle this behind the scenes?
I'm using the Java AMQP client library:
ConnectionFactory factory = new ConnectionFactory();
...
Connection connection = factory.newConnection();
Channel channel = connection.createChannel();
channel.basicQos(2);
QueueingConsumer consumer = new QueueingConsumer(channel);
channel.basicConsume(CONSUME_QUEUE_NAME, false, consumer);
while (!Thread.currentThread().isInterrupted()) {
try {
QueueingConsumer.Delivery delivery = consumer.nextDelivery();
String m = new String(delivery.getBody(), "UTF-8");
// Will m contain two messages? Will I have to each message and keep track of them within a List?
...
}
The api handles this behind the scenes, so there are no worries there for you.
Regarding which message gets where, RMQ will just deliver by using round robin, that is if you have the queue: 1 2 3 4 5 6 and consumer1 and consumer2.
consumer1 will have 1 3 5
consumer2 will have 2 4 6
Should the connection die to any of your consumers the prefetched messages will be redelivered to the active consumers using the same delivery method.
This should be interesting reading and a good starting point to figure more exactly what happens:
Tutorial no.2 which I'm sure you've read
Reliability
The api internally queue messages in a blocking queue.
Setting the prefetch count more than 1 is actually a good idea since your worker need not wait for each and every message to arrive. It can read up to N messages (where N is the prefetch count). It can start working on a message as soon as it has finished the previous one.
Also, you have the option to acknowledge multiple messages at once instead of acknowledging individually.
channel.basicAck(lastDeliveryTag, true);
boolean true indicates to acknowledge all the messages upto and including the supplied lastDeliveryTag