MSMQ Poison Message Handling - msmq

How would I handle poison messages when not using WCF? The code below creates a loop, and I was curious if MSMQ provided a system to automatically handle poison messages.
MessageQueue mq = new MessageQueue(#".\Private$\My/Queue");
while (true)
{
using (MessageQueueTransaction _transaction =
new MessageQueueTransaction())
{
_transaction.Begin();
try
{
Message msg = mq.Receive(_transaction);
//HandleMessage(msg);
throw new Exception("Kaboom!");
_transaction.Commit();
}
catch (Exception ex)
{
_transaction.Abort();
}
}
}

I don't believe there is a simple way to handle poison messages using raw System.Messaging classes. I think the simplest solution is to set the "TimeToBeReceived" property on a message, but this is not perfect, because you may end up losing valid messages if the receiver is offline. I read somewhere that you can have real poison message handling in MSMQ using PInvoke, but was unable to find any resources on this.
I found this article with some ideas on how to manually handle poison messages. It might offer some ideas:
http://www.cogin.com/articles/SurvivingPoisonMessages.php

Related

Error handling in Spring Cloud Kafka Streams

I'm using Spring Cloud Stream with Kafka Streams. Let's say I have a processor which is a Function which converts a KStream of Strings to a KStream of CityProgrammes. It invokes an API to find the City by name and an other transformation which finds any events near that city.
Now the problem is that any error happens during the transformation, the whole application stops. I want to send that one particular message to a DLQ and move along. I've been reading for days and everyone suggests to handle errors within the called services but that is a nonesense in my opinion, plus I still need to return a KStream: how do I do that within a catch?
I also looked at UncaughtExeptionHandler but it is not aware of the message and only able to restart the processing which won't skip this invalid message.
This might sound like an A-B problem so the question rephrased: how do I maintain the flow in a KStream when an exception occurs and send the invalid item to the DLQ?
When it comes to the application-level errors you have, it is up to the application itself how the error is handled. Kafka Streams and the Spring Cloud Stream binder mainly support deserialization and serialization errors at the framework level. Although that is the case, I think your scenario can be handled. If you are using Kafka Client prior to 2.8, here is an SO answer I gave before on something similar: https://stackoverflow.com/a/66749750/2070861
If you are using Kafka/Streams 2.8, here is an idea that you can use. However, the code below should only be used as a starting point. Adjust it according to your use case. Read more on how branching works in Kafka Streams 2.8. The branching API is significantly refactored in 2.8 from the prior versions.
public Function<KStream<?, String>, KStream<?, Foo>> convert() {
Foo[] foo = new Foo[0];
return input -> {
final Map<String, ? extends KStream<?, String>> branches =
input.split(Named.as("foo-")).branch((key, value) -> {
try {
foo[0] = new Foo(); // your API call for CitiProgramme converion here, possibly.
return true;
}
catch (Exception e) {
Message<?> message = MessageBuilder.withPayload(value).build();
streamBridge.send("to-my-dlt", message);
return false;
}
}, Branched.as("bar"))
.defaultBranch();
final KStream<?, String> kStream = branches.get("foo-bar");
return kStream.map((key, value) -> new KeyValue<>("", foo[0]));
};
}
}
The default branch is ignored in this code because that only contains the records that threw exceptions. Those were handled by the catch statement above in which we send the records to a DLT programmatically. Finally, we get the good records and map them to a new KStream and send it through the outbound.

kafka producer blocking on callback

I'm testing the async send() in my kafka producer.
The cluster I want to connect to is offline.
My assumption would be that I send 10000 individual requests (lenght of listToSend) quickly.
Next the timeout (60s) would kick in and after 60 seconds I would see the callbacks hit me with logger.error(s"failed to send record ${x._2}", e)
However it seems to take forever for the method to finish.
That's why I added in the logger.debug("test: am I sending data") line.
It prints, then nothing happens for 60 seconds. I see the failed callback for the 1st record. And only then will it move on.
Is this normal behavior or am I missing something fundamental?
listToSend.foreach { x =>
logger.debug("test: am I sending data")
// note: I added this 'val future =' in an attempt to fix this, to no avail
val future = producer.send(new ProducerRecord[String, String](topic, x._2), new Callback {
override def onCompletion(metadata: RecordMetadata, e: Exception) {
if (e != null) {
//todo: handle failed sends, timeouts, ...
logger.error(s"failed to send record ${x._2}", e)
}
else { //nice to have: implement logic here, or call another method to process metadata
logger.debug("~Callback success~")
}
}
}
)
}
note: I do not want to block this code, I want to keep it async. However it seems to be blocking on the send() regardless.
The parallelism I never figured out completely.
However it seems like my topic name (I had named it '[projectname here]_connection') was the issue.
Even though I didn't know of any reserved keywords in topic names, this behavior popped up.
Some further experimenting also brought up that a topic name with a trailing space can also cause this behavior. The producer will try to send it to this topic, but the Kafka cluster doesn't seem to know how to deal with it, causing these timeouts.
So for all of you who come across this issue, check/change your topic name before proceeding your troubleshooting.

vertX eventBus consumer listens to all addresses

I'd like to write a catch all eventBus consumer. Is this possible?
eB = vertx.eventBus();
MessageConsumer<JsonObject> consumer = eB.consumer("*"); // What is catch all address ???
consumer.handler(message -> {
Log.info("Received: " + message.body().toString());
});
A solution to your problem might be an interceptor.
vertx.eventBus().addInterceptor( message -> {
System.out.println("LOG: " + message.message().body().toString());
});
This handler will write every message that comes to the event-bus in vertx.
Reference is here:
http://vertx.io/docs/apidocs/io/vertx/rxjava/core/eventbus/EventBus.html#addInterceptor-io.vertx.core.Handler-
Also, version of vertx-core that I'm using is 3.3.2, I think interceptor functionality is not available in older versions (e.g. 3.0.0).
Having looked through the Java code, I don't think this is possible.
Vert.x stores event bus consumers in a MultiMap looking like:
AsyncMultiMap<String, ServerID>
where the String key is the consumer address.
And as you'd guess, Vert.x just does a map.get(address) to find out the relevant consumers.
Update after OP comment
While I think your use case is valid, I think you're going to have to roll something yourself.
As far as I can see, Vert.x doesn't store consumers of send and publish separately. It's all in one MultiMap. So it would be inadvisable to try to register consumers for all events.
If someone does an eventBus.send(), and Vert.x selects your auditing consumer, it will be the only consumer receiving the event, and I'm going to guess that's not what you want.
I dont know if that´s possible but referring to the documentation, you can put a listener to the events to know when a publish, send, open_socket, close_socket is invoked
sockJSHandler.bridge(options, be -> {
if (be.type() == BridgeEvent.Type.PUBLISH || be.type() == BridgeEvent.Type.RECEIVE) {
Log.info("Received: " + message.body().toString());
}
be.complete(true);
});

Commit transaction then send email

In Java, let's say I have a transaction that once it is committed, I want to do another action, in this case, send an email.
Therefore,
try {
transaction.begin()
...
transaction.commit()
// point 1
Utility.sendEmail(...)
} catch (Exception e) {
transaction.rollback();
}
Is it possible for the thread to die/get killed at point 1 and not send an email ?
Any way to minimize this ? JTA + JMS perhaps, where the action of sending a message is part of a transaction ?
I'm investigating an issue and exploring whether this is possible. JVM is still alive (no OOM). I do not know the inner working of the app server so not sure if this is possible.
I can't say for sure if the rollback() in the catch clause has any effect if the commit() was OK and sendEmail() threw an exception. The quickest way to test this is to throw an exception from the sendEmail() method and see if the transaction was actually committed.
The way I would put it though, is to move the sendEmail() call away from your try block:
try {
transaction.begin()
...
transaction.commit()
} catch (Exception e) {
transaction.rollback();
}
try {
// point 1
Utility.sendEmail(...)
} catch (Exception e) {
// handle it
}
This way you can control what will happen if a rollback was made.
Also, I think that sending the email to a JMS queue is in most cases a good idea. Doing it like that will give your DB code permission to continue and supposedly give feedback to your user that everything went OK and the email will be sent whenever it fits the email controller's schedule. For example, there might be a connection issue with your email server and the email sending would hang for say 30 seconds before throwing an exception and your user would see this as a very long button click.

Properly disposing resources used by SmtpClient

I have a C# service that runs continuously with user credentials (i.e not as localsystem - I can't change this though I want to). For the most part the service seems to run ok, but ever so often it bombs out and restarts for no apparent reason (servicer manager is set to restart service on crash).
I am doing substantial event logging, and I have a layered approach to Exception handling that I believe makes at least some sort of sense:
Essentially I got the top level generic exception, null exception and startup exception handlers.
Then I got various handlers at the "command level" (i.e specific actions that the service runs)
Finally I handle a few exceptions handled at the class level
I have been looking at whether any resources aren't properly released, and I am starting to suspect my mailing code (send email). I noticed that I was not calling Dispose for the MailMessage object, and I have now rewritten the SendMail code as illustrated below.
The basic question is:
will this code properly release all resources used to send mails?
I don't see a way to dispose of the SmtpClient object?
(for the record: I am not using object initializer to make the sample easier to read)
private static void SendMail(string subject, string html)
{
try
{
using ( var m = new MailMessage() )
{
m.From = new MailAddress("service#company.com");
m.To.Add("user#company.com");
m.Priority = MailPriority.Normal;
m.IsBodyHtml = true;
m.Subject = subject;
m.Body = html;
var smtp = new SmtpClient("mailhost");
smtp.Send(m);
}
}
catch (Exception ex)
{
throw new MyMailException("Mail error.", ex);
}
}
I know this question is pre .Net 4 but version 4 now supports a Dispose method that properly sends a quit to the smpt server. See the msdn reference and a newer stackoverflow question.
There are documented issues with the SmtpClient class. I recommend buying a third party control since they aren't too expensive. Chilkat makes a decent one.