My requirements are stated below:
I have to develop a wrapper service on top a queue,so i was just going through some message Queue like (ActiveMQ,Apollo,Kafka). But decided to proceed with ActiveMQ to match our usecases.Now the requirement are as follows:
1) A restful api through which different publisher will publish to queue,based on clientId queue will be selected.
2) Consumer will consume message through restful api and will consume message in batches. say consumer as for something like give me 10 message from queue.
Now the service should provide 10 message if there is 10 message or if message number is less or zero it will send accordingly. After receiving the message the client will process with the message and send back acknowledgement through different res-full uri. upon receiving that acknowledgement,the MQService should commit or rollback message from the queue.
In order to this in the MQService layer, i have used a cached,where im keeping the JMS connection and session object till acknowledgemnt is received or ttl expire.
In-order to retrieve message in batches and send back to client, i have created a multi-threaded consumer,so that for 5 batch message request,the service layer will create 5 thread each having different connection and session object( as stated in ActiveMQ multiple consumer http://activemq.apache.org/multiple-consumers-on-a-queue.html)
Basic use-case:
MQ(BROKER)[A] --> Wrapper(MQService)[B]-->Client [C]
Note:[B] is a restfull service having JMS consumer implemented in it.It keeps the connection and session object in cache.
[C] request to [B] to give 3 message
[B] must fetch 3 message if available in queue,wrap it in batchmsgFormat and send it to [C]
[C] process the message and send acknowledgemnt suces/failed to [B] through /send-ack uri.
Upon receiving Ack from [C], [B] will commit the Jms session and close the session and connection object. Also it will evict those from the cache.
The above work-flow is working fine with single message fetching.
But the queue hungs up on JMS MesageConsumer.receive() when try to fetch message with mutilple consumer using multithreading. ...
Here the JMS Consumer code in MQService layer:
----------------------------------------------
public BatchMessageFormat getConsumeMsg(final String clientId, final Integer batchSize) throws Exception {
BatchMessageFormat batchmsgFormat = new BatchMessageFormat();
List<MessageFormat> msgdetails = new ArrayList<MessageFormat>();
List<Future<MessageFormat>> futuremsgdetails = new ArrayList<Future<MessageFormat>>();
if (batchSize != null) {
Integer msgCount = getMsgCount(clientId, batchSize);
for (int batchconnect = 0; batchconnect <msgCount; batchconnect++) {
FutureTask<MessageFormat> task = new FutureTask<MessageFormat>(new Callable<MessageFormat>() {
#Override
public MessageFormat call() throws Exception {
MessageFormat msg=consumeBatchMsg(clientId,batchSize);
return msg;
}
});
futuremsgdetails.add(task);
Thread t = new Thread(task);
t.start();
}
for(Future<MessageFormat> msg:futuremsgdetails){
msgdetails.add(msg.get());
}
batchmsgFormat.setMsgDetails(msgdetails);
return batchmsgFormat
}
Message fetching:
private MessageFormat consumeBatchMsg(String clientId, Integer batchSize) throws JMSException, IOException{
MessageFormat msgFormat= new MessageFormat();
Connection qC = ConnectionUtil.getConnection();
qC.start();
Session session = qC.createSession(true, -1);
Destination destination = createQueue(clientId, session);
MessageConsumer consumer = session.createConsumer(destination);
Message message = consumer.receive(2000);
if (message!=null || message instanceof TextMessage) {
TextMessage textMessage = (TextMessage) message;
msgFormat.setMessageID(textMessage.getJMSMessageID());
msgFormat.setMessage(textMessage.getText());
CacheObject cacheValue = new CacheObject();
cacheValue.setConnection(qC);
cacheValue.setSession(session);
cacheValue.setJmsQueue(destination);
MQCache.instance().add(textMessage.getJMSMessageID(),cacheValue);
}
consumer.close();
return msgFormat;
}
Acknowledgement and session closing:
public String getACK(String clientId,String msgId,String ack)throws JMSException{
if (MQCache.instance().get(msgId) != null) {
Connection connection = MQCache.instance().get(msgId).getConnection();
Session session = MQCache.instance().get(msgId).getSession();
Destination destination = MQCache.instance().get(msgId).getJmsQueue();
MessageConsumer consumer = session.createConsumer(destination);
if (ack.equalsIgnoreCase("SUCCESS")) {
session.commit();
} else {
session.rollback();
}
session.close();
connection.close();
MQCache.instance().evictCache(msgId);
return "Accepted";
} else {
return "Rejected";
}
}
Does anyone worked on similar scenario or can you pls throw some light? Is there any other way to implement this batch mesage fetching as well as client failure handling?
Try after setting the prefetch limit to 0 as below:
ConnectionFactory connectionFactory
= new ActiveMQConnectionFactory("tcp://localhost:61616?jms.prefetchPolicy.queuePrefetch=0");
I'll give a few pointers to help to code this logic better.
I'm assuming you are using pure JMS 1.1 as much as possible. Ensure that you have one place where you get the connection from the pool or create a connection. You need not do that inside a thread. You can do that outside. Sessions must be created inside a thread and shouldn't be shared. This will impact the logic in the function consumeBatchMsg().
Secondly, its simpler to use one thread to consume all the messages of the given batchSize. I see that you are using transacted session. So you can do one commit after getting all the messages of the batchSize.
If you really want to take the complicated route of having multiple consumers on a queue (probably little better performance), you can using CountDownLatch or CyclicBarrier of Java and set it to batchSize to trigger. Once all the threads have received the messages, it can commit and close the sessions in the respective threads. Never let the session instance go out of the context of the thread that created it.
Related
It really annoys me that we're unable to move messages from a Dead Letter Queue over to the Original Queue for processing when using Azure Servicebus. So, I figured out that I will try to implement this feature myself. We are using Masstransit to publish events. The queuename in ASB will be an events full assembly name.
I've created an REST Endpoint in my application to move messages from the DLQ to the original queue for reprocessing. This is where I'm stuck at the moment.
To get all messages in a DLQ, the user gives me the queuename, and I will format it to contain the DeadLetterQueue. Like this:
myproject.events.usercreatedevent -> myproject.events.usercreatedevent/$DeadLetterQueue
I get all the messages from this queue by using classes from the Nuget package Microsoft.Azure.Servicebus
public async Task RequeueMessagesAsync(string queueName)
{
var msg = new MessageReceiver(BuildConnectionString(), queueName);
var messages = await msg.PeekAsync(50);
foreach (var message in messages)
{
var content = Encoding.UTF8.GetString(message.Body);
var jsonObject = JsonConvert.DeserializeObject<JObject>(content);
var destinationAddress = jsonObject["destinationAddress"].ToString();
var messageContent = jsonObject["message"].ToString();
var messageType = destinationAddress.Split("/").Last();
await _bus.SendAsync(jsonObject, messageType);
}
}
The when calling _bus.SendAsync(object, address) the message ends up in a _skipped queue. I think the reason for this is that the messageHeaders is set to JObject, and not the actual message type. I cannot use reflection to recreated the event either, as we have a lot of microservices and source code of the event it not necessarily available. The code behind the _bus.SendAsync(object, address) looks like this:
public async Task SendAsync(object message, string queueName, CancellationToken cancellationToken = default)
{
ISendEndpoint sender = await GetSenderAsync(queueName);
sender.ConnectSendObserver(new ErrorQueueConfiguration(_addressProvider.GetAddress("error")));
await sender.Send(message, cancellationToken);
}
Can I trick Masstransit to forward this "unknown" type to my Consumer by changing the MessageHeaders somehow? Have anyone successfully moved messages from a DLQ to its original queue?
I am developing an API in spring-integration using DSL, this how it works
JDBC Polling Adapter initiates the flow and gets some data from tables and send it to DefaultRequestChannel, from here the message is handled/flowing thru various channels.
Now I am trying to
1. send a email, if any errors (e.g connectivity issue, bad record found while polling the data) occurred/detected in my error channel.
After sending email to my support group, I want to suspend my flow for 15 mins and then resume automatically.
I tried creating a sendEmailChannel (recipient of my errorChannel), it doesn't work for me. So just created a transformer method like below
this code is running fine, but is it a good practice?
#
#Transformer(inputChannel="errorChannel", outputChannel="suspendChannel")
public Message<?> errorChannelHandler(ErrorMessage errorMessage) throws RuntimeException, MessagingException, InterruptedException {
Exception exception = (Exception) errorMessage.getPayload();
String errorMsg = errorMessage.toString();
String subject = "API issue";
if (exception instanceof RuntimeException) {
errorMsg = "Run time exception";
subject = "Critical Alert";
}
if (exception instanceof JsonParseException) {
errorMsg = ....;
subject = .....;
}
MimeMessage message = sender.createMimeMessage();
MimeMessageHelper helper = new MimeMessageHelper(message);
helper.setFrom(senderEmail);
helper.setTo(receiverEmail);
helper.setText(errorMsg);
helper.setSubject(subject);
sender.send(message);
kafkaProducerSwitch.isKafkaDown());
return MessageBuilder.withPayload(exception.getMessage())
.build();
}
I am looking for some better way of handling the above logic.
And also any suggestions to suspend my flow for few mins.
You definitely can use a mail sending channel adapter from Spring Integration box to send those messages from the error channel: https://docs.spring.io/spring-integration/docs/5.1.5.RELEASE/reference/html/#mail-outbound. The Java DSL variant is like this:
.handle(Mail.outboundAdapter("gmail")
.port(smtpServer.getPort())
.credentials("user", "pw")
.protocol("smtp")))
The suspend can be done via CompoundTriggerAdvice extension, when you check the some AtimocBoolean bean for the state to activate one or another trigger in the beforeReceive() implementation. Such a AtimocBoolean can change its state in one more subscriber to that errorChannel because this one is a PublishSubscribeChannel by default. Don't forget to bring the state back to normal after that you return a false from the beforeReceive(). Just because that is enough to mark your system as normal at this moment since it is is going to work only after 15 mins.
I have a spring integration flow which produces messages that should be kept around waiting for an appropriate consumer to come along and consume them.
#Bean
public IntegrationFlow messagesPerCustomerFlow() {
return IntegrationFlows.
from(WebFlux.inboundChannelAdapter("/messages/{customer}")
.requestMapping(r -> r
.methods(HttpMethod.POST)
)
.requestPayloadType(JsonNode.class)
.headerExpression("customer", "#pathVariables.customer")
)
.channel(messagesPerCustomerQueue())
.get();
}
#Bean(name = PollerMetadata.DEFAULT_POLLER)
public PollerSpec poller() {
return Pollers.fixedRate(100);
}
#Bean
public QueueChannel messagesPerCustomerQueue() {
return MessageChannels.queue()
.get();
}
The messages in the queue should be delivered as server-sent events via http as shown below.
The PublisherSubscription is just a holder for the Publisher and the IntegrationFlowRegistration, the latter is used to destroy the dynamically created flow when it is no longer needed (note that the incoming message for the GET has no content, which is not handled properly ATM by the Webflux integration, hence a small workaround is necessary to get access to the path variable shoved to the customer header):
#Bean
public IntegrationFlow eventMessagesPerCustomer() {
return IntegrationFlows
.from(WebFlux.inboundGateway("/events/{customer}")
.requestMapping(m -> m.produces(TEXT_EVENT_STREAM_VALUE))
.headerExpression("customer", "#pathVariables.customer")
.payloadExpression("''") // neeeded to make handle((p,h) work
)
.log()
.handle((p, h) -> {
String customer = h.get("customer").toString();
PublisherSubscription<JsonNode> publisherSubscription =
subscribeToMessagesPerCustomer(customer);
return Flux.from(publisherSubscription.getPublisher())
.map(Message::getPayload)
.doFinally(signalType ->
publisherSubscription.unsubscribe());
})
.get();
}
The above request for server-sent events dynamically registers a flow which subscribes to the queue channel on demand with a selective consumer realized by a filter with throwExceptionOnRejection(true). Following the spec for Message Handler chain that should ensure that the message is offered to all consumers until one accepts it.
public PublisherSubscription<JsonNode> subscribeToMessagesPerCustomer(String customer) {
IntegrationFlowBuilder flow = IntegrationFlows.from(messagesPerCustomerQueue())
.filter("headers.customer=='" + customer + "'",
filterEndpointSpec -> filterEndpointSpec.throwExceptionOnRejection(true));
Publisher<Message<JsonNode>> messagePublisher = flow.toReactivePublisher();
IntegrationFlowRegistration registration = integrationFlowContext.registration(flow.get())
.register();
return new PublisherSubscription<>(messagePublisher, registration);
}
This construct works in principle, but with the following issues:
Messages sent to the queue while there are no subscribers at all lead to a MessageDeliveryException: Dispatcher has no subscribers for channel 'application.messagesPerCustomerQueue'
Messages sent to the queue while no matching subscriber is present yet lead to an AggregateMessageDeliveryException: All attempts to deliver Message to MessageHandlers failed.
What I want is that the message remains in the queue and is repeatedly offered to all subscribers until it is either consumed or expires (a proper selective consumer). How can I do that?
note that the incoming message for the GET has no content, which is not handled properly ATM by the Webflux integration
I don't understand this concern.
The WebFluxInboundEndpoint works with this algorithm:
if (isReadable(request)) {
...
else {
return (Mono<T>) Mono.just(exchange.getRequest().getQueryParams());
}
Where GET method really goes to the else branch. And the payload of the message to send is a MultiValueMap. And also we recently fixed with you the problem for the POST, which is released already as well in version 5.0.5: https://jira.spring.io/browse/INT-4462
Dispatcher has no subscribers
Can't happen on the QueueChannel in principle. There is no any dispatcher on there at all. It is just queue and sender offers message to be stored. You are missing something else to share with us. But let's call things with its own names: the messagesPerCustomerQueue is not a QueueChannel in your application.
UPDATE
Regarding:
What I want is that the message remains in the queue and is repeatedly offered to all subscribers until it is either consumed or expires (a proper selective consumer)
Only what we see is a PollableJmsChannel based on the embedded ActiveMQ to honor TTL for messages. As a consumer of this queue you should have a PublishSubscribeChannel with the setMinSubscribers(1) to make MessagingTemplate to throw a MessageDeliveryException when there is no subscribers yet. This way a JMS transaction will be rolled back and message will return to the queue for the next polling cycle.
The problem with in-memory QueueChannel that there is no transactional redelivery and message once polled from that queue is going to be lost.
Another option is similar to JMS (transactional) is a JdbcChannelMessageStore for the QueueChannel. Although this way we don't have a TTL functionality...
How can I return the message1 received by the addAnnonceInput, I need to return that message to the client.
#RequestMapping(method = RequestMethod.POST, value = "/annonces")
public void addAnnonce(#RequestBody AnnonceWrapper annonceWrapper) {
System.out.println(annonceWrapper.toString());
final Message<AnnonceWrapper> message = MessageBuilder
.withPayload(annonceWrapper)
.setReplyChannel(messageStream.acceptDemandeInput())
.build();
messageStream.addAnnonceOutput().send(message);
messageStream.acceptDemandeInput().subscribe(message1 -> System.out.println(message1.getPayload().toString()));
}
This is an unusual use of Spring Cloud Stream; you would probably be better off using Spring Integration directly, and a Messaging Gateway to wait for the reply.
Doing it manually this way, you would need to use a CountDownLatch or a Future<?> to suspend the HTTP thread until the response is received (or some timeout occurs).
I'm using a Service Bus queue with Sessions enabled and I'm sending 5 messages with the same SessionId. My receiving code uses AcceptMessageSessionAsync to get a session lock so that it will receive all the messages for that session. It then uses session.ReceiveBatchAsync to try and get all the messages for the session. However, it only seems to get the first message, then when another attempt is made, it gets all the others. You should be able to see that there is a gap of almost a minute between the two batches even though all these messages were sent at once:
Session started:AE8DC914-8693-4110-8BAE-244E42A302D5
Message received:AE8DC914-8693-4110-8BAE-244E42A302D5_1_08:03:03.36523
Session started:AE8DC914-8693-4110-8BAE-244E42A302D5
Message received:AE8DC914-8693-4110-8BAE-244E42A302D5_2_08:03:04.22964
Message received:AE8DC914-8693-4110-8BAE-244E42A302D5_3_08:03:04.29515
Message received:AE8DC914-8693-4110-8BAE-244E42A302D5_4_08:03:04.33959
Message received:AE8DC914-8693-4110-8BAE-244E42A302D5_5_08:03:04.39587
My code to process these is a function in a WebJob:
[NoAutomaticTrigger]
public static async Task MessageHandlingLoop(TextWriter log, CancellationToken cancellationToken)
{
var connectionString = ConfigurationManager.ConnectionStrings["ServiceBusListen"].ConnectionString;
var client = QueueClient.CreateFromConnectionString(connectionString, "myqueue");
while (!cancellationToken.IsCancellationRequested)
{
MessageSession session = null;
try
{
session = await client.AcceptMessageSessionAsync(TimeSpan.FromMinutes(1));
log.WriteLine("Session started:" + session.SessionId);
foreach (var msg in await session.ReceiveBatchAsync(100, TimeSpan.FromSeconds(5)))
{
log.WriteLine("Message received:" + msg.MessageId);
msg.Complete();
}
}
catch (TimeoutException)
{
log.WriteLine("Timeout occurred");
await Task.Delay(5000, cancellationToken);
}
catch (Exception ex)
{
log.WriteLine("Error:" + ex);
}
}
}
This is called from my WebJob Main using:
JobHost host = new JobHost();
host.Start();
var task = host.CallAsync(typeof(Functions).GetMethod("MessageHandlingLoop"));
task.Wait();
host.Stop();
Why don't I get all my messages in the first call of ReceiveBatchAsync?
This was answered in the MSDN forum by Hillary Caituiro Monge: https://social.msdn.microsoft.com/Forums/azure/en-US/9a84f319-7bc6-4ff8-b142-4fc1d5f1e2fa/service-bus-session-receivebatchasync-only-receiving-1-message?forum=servbus
Service Bus does not guarantee you will receive the message count you
specify in receive batch even if your queue has them or more. Having
say that, you can change your code to try to get the 100 messages in
the first call, buy remember that your application should not assume
that as a guaranteed behavior.
Below this line of code varclient =
QueueClient.CreateFromConnectionString(connectionString, "myqueue");
add client.PrefetchCount = 100;
The reason that you are getting only 1 message at all times in the
first call is due to that when you accept a session it may be also
getting 1 prefetched message with it. Then when you do receive batch,
the SB client will give you that 1 message.
Unfortunately I found that setting the PrefetchCount didn't have an affect, but the reason given for only receiving one message seemed likely so I accepted it as the answer.