I have a strange behaviour with the message processing inside a message store.
I have a proxy service that put messages in a Message-Store and a Message-Processor that gets the messages from the Message-Store and call an endpoint.
If the message is correctly processed a sequence is called; in this sequence I launch an update query to a table.
Well, sending 500/1000, without any delay, to the message store I noticed that the Sequence with the query is not always called and no error is written in the Log.
If I deactive the Message-Processor and letting that Message-Store is filled by 500/1000 messages, reactiving the Message-Processor the sequence is always correctly called.
Do you know if there are some issues about Message-Processor ( my Message-Processor is a Scheduled type) when it must process a lot of messages at the same time ?
Moreover, how many Message-Processor instances Wso2Esb use to process the messages contained in the Message-Store ? ( one or more ? ).
If the are different instances of Message-Processor probably there is a Thread concurrent problem.
Cheers.
warxsg
What is the ESB version you are using. And can you tell me the what is the message processor you are using ? ex : MessageForwading processor ? Sampling processor?
http://wso2.org/library/articles/2011/10/implementing-store-forward-messaging-patterns-wso2esb-part-1 and
http://wso2.org/library/articles/2011/12/implementing-store-forward-messaging-patterns-wso2esb-part-2
might be helpfull.
cheers,
Related
Let's say I have one ActiveMQ Broker and an undefined numbers of consumers.
Problem:
To process a message, consumers need an external service which is either "DATA1" or "DATA2" (specified in the message)
Each server, "DATA1" and "DATA2", can only handle 20 connections
So at most 20 "DATA1" and 20 "DATA2" messages must be dispatched at any time
Because of priorization, the messages must be enqueued in the same queue
Even if message A has a higher prio than message B, if A can't be processed because the external service has no free slots, message B needs to be processed instead
How can this be solved? As long as I was using message pulling (prefetch of 0), I was able to do this by using a BrokerPlugin that, on messagePull, achieved this by using semaphores and selectors. If the limits were reached, the pull returned null.
However, due to performance issues I had to set prefetch to 1 and use push instead. Therefore, my messagePull hack no longer works (it's never called).
So far I'm considering implementing a custom Cursor but I was wondering if someone knows a better solution.
Update the custom cursor worked but broke features like message removal. I tried with a custom Queue and QueueDispatchSelector (which is a pain to configure since there isn't a proper API to do so) and it mostly works but I still have synchronisation issues.
Also, a very suitable API seems to be DispatchPolicy, however, while it is referenced by Queue, it's never used.
Queues give you buffering for system processing time for free. Messages are delivered on demand. With prefetch=0 or prefetch=1, should effectively get you there. Messages will only be delivered to a consumer when the consumer is ready (ie.. during the consumer.receive() method).
consumer.receive() is a blocking call, so you should not need any custom plugin or other to delay delivery until the consumer process (and its required downstream services) are ready to handle it.
The behavior should work out-of-the-box, or there are some details to your use case that are not provided to shed more light on the scenario.
I am working on RabbitMQ integration. I have a microservice which receives messages from other services. I am currently looking into how to handle messages which encounter exceptions during processing.
The scenario could be:
ServiceA sends message to engine's queue.
Engine processes the message received.
During processing, engine encountered an exception (say a NullPointerException)
Engine returns the message to ServiceA for reprocessing
ServiceA holds the message until the exception in the engine is resolved (resending to engine can be manually triggered)
I bumped into Spring AMQP documentation about Publisher Returns but I could not totally grasp the context. I would like to know how this works and if this could be a solution to address above item #4. Or is there other solution for this?
Thank you in advance!
For #4 on your list the solution is quite simple - don't acknowledge the message automatically, rather then when the processing is finished. In that way -
if the client (subscriber) dies (for whatever reason) during processing of the message then that message is re-queued (so sent to ServiceA for reprocessing in your case).
If you want to explicitly re-queue the message you could do negative acknowledgment (search for it here).
In any case of re-queuing (manual or automatic) you should be careful that the single message that causes subscribers to die doesn't end up being processed forever by subscriber(s), that is - make sure that the exception that happened during processing was a random and not a guaranteed event. Example for this would be a message containing invalid XML - you process it, see it's invalid, handle the exception and re-queue, but then again another (or the same) subscriber gets it, and handles the same exception since the content of the message and the XML inside it didn't change and so on...
When I set up manual Ack with RMQ, but how could i know whether ack is successfully done?If there is a exception before basic.ack when i have long operations to perform, the message will be sent to another consumer .How can i avoid that?
How can i avoid that?
You can't.
At some point it will happen and your code needs to deal with this scenario gracefully. This is typically done with idempotence in your message processing.
That is, you allow the message to be processed more than once (because it will happen), but you only make the underlying change to the system once.
A common / simple way of handling this is to have an ID associated with each message. Before processing the message, check to see if that ID is marked as complete in your database. If it's not, then process the message. When the message is processed, you update a database with that ID. That way, when (not if) you run into the scenario where a message is processed twice, you won't actually do the processing / system changes twice.
I need to implement a logic on Retry. Inbound endpoint pushes the messages to Rest (Outbound). If the REST is unavailable, I need to retry for 1 time and put it in the queue. But the second upcoming messages should not do any retry, it has to directly put the messages in to queue until the REST service is available.
Once the service is available, I need to pushes all the messages from QUEUE to REST Service (in ordering) via batch job.
Questions:
How do I know the service is unavailable for my second message? If I use until Successful, for every message it do retry and put in queue. Plm is 2nd message shouldn't do retry.
For batch, I thought of using poll, but how to tell to poll, when the service becomes available to begin the batch process. (bcz,Poll is more of with configuring timings to run batch)?
Other ticky confuses me is - Here ordering has to be preserved. once the service is available. Queue messages ( i,e Batch) has to move first to REST Services then with real time. I doubt whether Is it applicable.
It will be very helpful for the quick response to implement the logic.
Using Mule: 3.5.1
I could try something like below: using flow controls
process a message; if exception or bad response code, set a variable/property like serviceAvailable=false.
subsequent message processing will first check the property serviceAvailable to process the messages. if property is false, en-queue the messages to a DB table with status=new/unprocessed
create a flow/scheduler to process the messages from DB sequentially, but it will not check the property serviceAvailable and call the rest service.
If service throws exception it will not store the messages in db again but if processes successfully change the property serviceAvailable=true and de-queue the messages or change the status. Add another property and set it to true if there are more messages in db table like moreDBMsg=true.
New messages should not be processed/consumed until moreDBMsg=false
once moreDBMsg=false and serviceAvailable=true start processing the messages from queue.
For the timeout I would still look at the response code and catch time-outs to determine if the call was successful or requires a retry. Practically you normally do multi threading anyway, so you have multiple calls in parallel anyway. Or simply one call starts before the other ends.
That is just quite normal.
But you can simply retry calls in a queue that time out. And after x amounts of time-outs you "skip" or defer the retry.
But all of this has been done using actual Mule flow components like either:
MEL http://www.mulesoft.org/documentation/display/current/Mule+Expression+Language+Reference
Or flow controls: http://www.mulesoft.org/documentation/display/current/Choice+Flow+Control+Reference
Or for example you reference a Spring Bean and do it in native Java code.
One possibility for the queue would be to persist it in a database. Mule has database connector that has a "poll" feature, see: http://www.mulesoft.org/documentation/display/current/JDBC+Transport+Reference#JDBCTransportReference-PollingTransport
I am using RabbitMQ version 3.0.2 & I see close to 1000 message in Error queue. I want to know
At what point messages are moved to the error queues?
Is there a way to know why a certain message is being moved to an error queue?
Is there any way to move message from error queue to normal queue?
Thank you
a) they fail to deserialize or b) the consumer throws an exception processing that message five times
Not really... If you peek at the message in the queue, the payload headers might contain a note but I don't think we did that. If you turn logging on (NLog, log4net, etc) you should be able to see the exceptions in your log. You'll have to correlate message ids at that point to figure out exactly why.
There is no built in way via MassTransit. Mostly because there doesn't seem to be a great, generic way to handle this. Everyone wants some process around this. Dru did create a BusDriver app (in the main MT source repo) that could be used to move messages back to the exchange in question. This default behaviour is there so you at least know things have been failing if you don't put in the infrastructure to handle it.
To add to Travis' answer, During my development I found some other reasons for messages going onto the error queue:
The published message type has no consumer
A SAGA and a consumer are expecting the same concrete message type. Even if you try and differentiate using "Accepts" and ".Selected", both a SAGA and a Consumer should not be programmed to receive the same message type.