I am new to Spring Integration DSL. Currently, i am trying to add a delay
between message channels- "ordersChannel" and "bookItemsChannel". But , the flow continues as though there is no delay.
Any help appreciated.
Here is the code:
#Bean
public IntegrationFlow ordersFlow() {
return IntegrationFlows.from("ordersChannel")
.split(new AbstractMessageSplitter() {
#Override
protected Object splitMessage(Message<?> message) {
return ((Order)message.getPayload()).getOrderItems();
}
})
.delay("normalMessage", new Consumer<DelayerEndpointSpec>() {
public void accept(DelayerEndpointSpec spec) {
spec.id("delayChannel");
spec.defaultDelay(50000000);
System.out.println("Going to delay");
}
})
.channel("bookItemsChannel")
.get();
}
Seems for me that mixed the init phase when you see that System.out.println("Going to delay"); and the real runtime, when the delay happens for each incoming message.
We have some delay test-case in the DSL project, but I've just wrote this one to prove that the defaultDelay works well:
#Bean
public IntegrationFlow ordersFlow() {
return f -> f
.split()
.delay("normalMessage", (DelayerEndpointSpec e) -> e.defaultDelay(5000))
.channel(c -> c.queue("bookItemsChannel"));
}
...
#Autowired
#Qualifier("ordersFlow.input")
private MessageChannel ordersFlowInput;
#Autowired
#Qualifier("bookItemsChannel")
private PollableChannel bookItemsChannel;
#Test
public void ordersDelayTests() {
this.ordersFlowInput.send(new GenericMessage<>(new String[] {"foo", "bar", "baz"}));
StopWatch stopWatch = new StopWatch();
stopWatch.start();
Message<?> receive = this.bookItemsChannel.receive(10000);
assertNotNull(receive);
receive = this.bookItemsChannel.receive(10000);
assertNotNull(receive);
receive = this.bookItemsChannel.receive(10000);
assertNotNull(receive);
stopWatch.stop();
assertThat(stopWatch.getTotalTimeMillis(), greaterThanOrEqualTo(5000L));
}
As you see it is very close to your config, but it doesn't prove that we have something wrong around .delay().
So, it would be better to provide something similar to confirm an unexpected problem.
Related
I am trying to figure out the best way to handle errors that might have occurred in a service that is called after a aggregate's group timeout occurred that mimics the same flow as if the releaseExpression was met.
Here is my setup:
I have a AmqpInboundChannelAdapter that takes in messages and send them to my aggregator.
When the releaseExpression has been met and before the groupTimeout has expired, if an exception gets thrown in my ServiceActivator, the messages get sent to my dead letter queue for all the messages in that MessageGroup. (10 messages in my example below, which is only used for illustrative purposes) This is what I would expect.
If my releaseExpression hasn't been met but the groupTimeout has been met and the group times out, if an exception gets throw in my ServiceActivator, then the messages do not get sent to my dead letter queue and are acked.
After reading another blog post,
link1
it mentions that this happens because the processing happens in another thread by the MessageGroupStoreReaper and not the one that the SimpleMessageListenerContainer was on. Once processing moves away from the SimpleMessageListener's thread, the messages will be auto ack.
I added the configuration mentioned in the link above and see the error messages getting sent to my error handler. My main question, is what is considered the best way to handle this scenario to minimize message getting lost.
Here are the options I was exploring:
Use a BatchRabbitTemplate in my custom error handler to publish the failed messaged to the same dead letter queue that they would have gone to if the releaseExpression was met. (This is the approach I outlined below but I am worried about messages getting lost, if an error happens during publishing)
Investigate if there is away I could let the SimpleMessageListener know about the error that occurred and have it send the batch of messages that failed to a dead letter queue? I doubt this is possible since it seems the messages are already acked.
Don't set the SimpleMessageListenerContainer to AcknowledgeMode.AUTO and manually ack the messages when they get processed via the Service when the releaseExpression being met or the groupTimeOut happening. (This seems kinda of messy, since there can be 1..N message in the MessageGroup but wanted to see what others have done)
Ideally, I want to have a flow that will that will mimic the same flow when the releaseExpression has been met, so that the messages don't get lost.
Does anyone have recommendation on the best way to handle this scenario they have used in the past?
Thanks for any help and/or advice!
Here is my current configuration using Spring Integration DSL
#Bean
public SimpleMessageListenerContainer workListenerContainer() {
SimpleMessageListenerContainer container =
new SimpleMessageListenerContainer(rabbitConnectionFactory);
container.setQueues(worksQueue());
container.setConcurrentConsumers(4);
container.setDefaultRequeueRejected(false);
container.setTransactionManager(transactionManager);
container.setChannelTransacted(true);
container.setTxSize(10);
container.setAcknowledgeMode(AcknowledgeMode.AUTO);
return container;
}
#Bean
public AmqpInboundChannelAdapter inboundRabbitMessages() {
AmqpInboundChannelAdapter adapter = new AmqpInboundChannelAdapter(workListenerContainer());
return adapter;
}
I have defined a error channel and defined my own taskScheduler to use for the MessageStoreRepear
#Bean
public ThreadPoolTaskScheduler taskScheduler(){
ThreadPoolTaskScheduler ts = new ThreadPoolTaskScheduler();
MessagePublishingErrorHandler mpe = new MessagePublishingErrorHandler();
mpe.setDefaultErrorChannel(myErrorChannel());
ts.setErrorHandler(mpe);
return ts;
}
#Bean
public PollableChannel myErrorChannel() {
return new QueueChannel();
}
public IntegrationFlow aggregationFlow() {
return IntegrationFlows.from(inboundRabbitMessages())
.transform(Transformers.fromJson(SomeObject.class))
.aggregate(a->{
a.sendPartialResultOnExpiry(true);
a.groupTimeout(3000);
a.expireGroupsUponCompletion(true);
a.expireGroupsUponTimeout(true);
a.correlationExpression("T(Thread).currentThread().id");
a.releaseExpression("size() == 10");
a.transactional(true);
}
)
.handle("someService", "processMessages")
.get();
}
Here is my custom error flow
#Bean
public IntegrationFlow errorResponse() {
return IntegrationFlows.from("myErrorChannel")
.<MessagingException, Message<?>>transform(MessagingException::getFailedMessage,
e -> e.poller(p -> p.fixedDelay(100)))
.channel("myErrorChannelHandler")
.handle("myErrorHandler","handleFailedMessage")
.log()
.get();
}
Here is the custom error handler
#Component
public class MyErrorHandler {
#Autowired
BatchingRabbitTemplate batchingRabbitTemplate;
#ServiceActivator(inputChannel = "myErrorChannelHandler")
public void handleFailedMessage(Message<?> message) {
ArrayList<SomeObject> payload = (ArrayList<SomeObject>)message.getPayload();
payload.forEach(m->batchingRabbitTemplate.convertAndSend("some.dlq","#", m));
}
}
Here is the BatchingRabbitTemplate bean
#Bean
public BatchingRabbitTemplate batchingRabbitTemplate() {
ThreadPoolTaskScheduler scheduler = new ThreadPoolTaskScheduler();
scheduler.setPoolSize(5);
scheduler.initialize();
BatchingStrategy batchingStrategy = new SimpleBatchingStrategy(10, Integer.MAX_VALUE, 30000);
BatchingRabbitTemplate batchingRabbitTemplate = new BatchingRabbitTemplate(batchingStrategy, scheduler);
batchingRabbitTemplate.setConnectionFactory(rabbitConnectionFactory);
return batchingRabbitTemplate;
}
Update 1) to show custom MessageGroupProcessor:
public class CustomAggregtingMessageGroupProcessor extends AbstractAggregatingMessageGroupProcessor {
#Override
protected final Object aggregatePayloads(MessageGroup group, Map<String, Object> headers) {
return group;
}
}
Example Service:
#Slf4j
public class SomeService {
#ServiceActivator
public void processMessages(MessageGroup messageGroup) throws IOException {
Collection<Message<?>> messages = messageGroup.getMessages();
//Do business logic
//ack messages in the group
for (Message<?> m : messages) {
com.rabbitmq.client.Channel channel = (com.rabbitmq.client.Channel)
m.getHeaders().get("amqp_channel");
long deliveryTag = (long) m.getHeaders().get("amqp_deliveryTag");
log.debug(" deliveryTag = {}",deliveryTag);
log.debug("Channel = {}",channel);
channel.basicAck(deliveryTag, false);
}
}
}
Updated integrationFlow
public IntegrationFlow aggregationFlowWithCustomMessageProcessor() {
return IntegrationFlows.from(inboundRabbitMessages()).transform(Transformers.fromJson(SomeObject.class))
.aggregate(a -> {
a.sendPartialResultOnExpiry(true);
a.groupTimeout(3000);
a.expireGroupsUponCompletion(true);
a.expireGroupsUponTimeout(true);
a.correlationExpression("T(Thread).currentThread().id");
a.releaseExpression("size() == 10");
a.transactional(true);
a.outputProcessor(new CustomAggregtingMessageGroupProcessor());
}).handle("someService", "processMessages").get();
}
New ErrorHandler to do nack
public class MyErrorHandler {
#ServiceActivator(inputChannel = "myErrorChannelHandler")
public void handleFailedMessage(MessageGroup messageGroup) throws IOException {
if(messageGroup!=null) {
log.debug("Nack messages size = {}", messageGroup.getMessages().size());
Collection<Message<?>> messages = messageGroup.getMessages();
for (Message<?> m : messages) {
com.rabbitmq.client.Channel channel = (com.rabbitmq.client.Channel)
m.getHeaders().get("amqp_channel");
long deliveryTag = (long) m.getHeaders().get("amqp_deliveryTag");
log.debug("deliveryTag = {}",deliveryTag);
log.debug("channel = {}",channel);
channel.basicNack(deliveryTag, false, false);
}
}
}
}
Update 2 Added custom ReleaseStratgedy and change to aggegator
public class CustomMeasureGroupReleaseStratgedy implements ReleaseStrategy {
private static final int MAX_MESSAGE_COUNT = 10;
public boolean canRelease(MessageGroup messageGroup) {
return messageGroup.getMessages().size() >= MAX_MESSAGE_COUNT;
}
}
public IntegrationFlow aggregationFlowWithCustomMessageProcessorAndReleaseStratgedy() {
return IntegrationFlows.from(inboundRabbitMessages()).transform(Transformers.fromJson(SomeObject.class))
.aggregate(a -> {
a.sendPartialResultOnExpiry(true);
a.groupTimeout(3000);
a.expireGroupsUponCompletion(true);
a.expireGroupsUponTimeout(true);
a.correlationExpression("T(Thread).currentThread().id");
a.transactional(true);
a.releaseStrategy(new CustomMeasureGroupReleaseStratgedy());
a.outputProcessor(new CustomAggregtingMessageGroupProcessor());
}).handle("someService", "processMessages").get();
}
There are some flaws in your understanding.If you use AUTO, only the last message will be dead-lettered when an exception occurs. Messages successfully deposited in the group, before the release, will be ack'd immediately.
The only way to achieve what you want is to use MANUAL acks.
There is no way to "tell the listener container to send messages to the DLQ". The container never sends messages to the DLQ, it rejects a message and the broker sends it to the DLX/DLQ.
Thanks for reading ahead of time. In my main method I have a PublishSubscribeChannel
#Bean(name = "feeSchedule")
public SubscribableChannel getMessageChannel() {
return new PublishSubscribeChannel();
}
In a service that does a long running process it creates a fee schedule that I inject the channel into
#Service
public class FeeScheduleCompareServiceImpl implements FeeScheduleCompareService {
#Autowired
MessageChannel outChannel;
public List<FeeScheduleUpdate> compareFeeSchedules(String oldStudyId) {
List<FeeScheduleUpdate> sortedResultList = longMethod(oldStudyId);
outChannel.send(MessageBuilder.withPayload(sortedResultList).build());
return sortedResultList;
}
}
Now this is the part I'm struggling with. I want to use completable future and get the payload of the event in the future A in another spring bean. I need future A to return the payload from the message. I think want to create a ServiceActivator to be the message end point but like I said, I need it to return the payload for future A.
#org.springframework.stereotype.Service
public class SFCCCompareServiceImpl implements SFCCCompareService {
#Autowired
private SubscribableChannel outChannel;
#Override
public List<SFCCCompareDTO> compareSFCC(String state, int service){
ArrayList<SFCCCompareDTO> returnList = new ArrayList<SFCCCompareDTO>();
CompletableFuture<List<FeeScheduleUpdate>> fa = CompletableFuture.supplyAsync( () ->
{ //block A WHAT GOES HERE?!?!
outChannel.subscribe()
}
);
CompletableFuture<List<StateFeeCodeClassification>> fb = CompletableFuture.supplyAsync( () ->
{
return this.stateFeeCodeClassificationRepository.findAll();
}
);
CompletableFuture<List<SFCCCompareDTO>> fc = fa.thenCombine(fb,(a,b) ->{
//block C
//get in this block when both A & B are complete
Object theList = b.stream().forEach(new Consumer<StateFeeCodeClassification>() {
#Override
public void accept(StateFeeCodeClassification stateFeeCodeClassification) {
a.stream().forEach(new Consumer<FeeScheduleUpdate>() {
#Override
public void accept(FeeScheduleUpdate feeScheduleUpdate) {
returnList new SFCCCompareDTO();
}
});
}
}).collect(Collectors.toList());
return theList;
});
fc.join();
return returnList;
}
}
Was thinking there would be a service activator like:
#MessageEndpoint
public class UpdatesHandler implements MessageHandler{
#ServiceActivator(requiresReply = "true")
public List<FeeScheduleUpdate> getUpdates(Message m){
return (List<FeeScheduleUpdate>) m.getPayload();
}
}
Your question isn't clear, but I'll try to help you with some info.
Spring Integration doesn't provide CompletableFuture support, but it does provide an async handling and replies.
See Asynchronous Gateway for more information. And also see Asynchronous Service Activator.
outChannel.subscribe() should come with the MessageHandler callback, by the way.
I need to access a websocket-service which closes an open websocket-connection after 24h. How do I have to implement the reconnect with Spring-Boot 2 and Webflux?
This is what I have so far (taken from https://github.com/artembilan/webflux-websocket-demo):
#GetMapping(path = "/stream", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
public Flux<String> getStreaming() throws URISyntaxException {
ReactorNettyWebSocketClient client = new ReactorNettyWebSocketClient();
EmitterProcessor<String> output = EmitterProcessor.create();
Mono<Void> sessionMono = client.execute(new URI("ws://localhost:8080/echo"),
session -> session.receive()
.timeout(Duration.ofSeconds(3))
.map(WebSocketMessage::getPayloadAsText)
.subscribeWith(output)
.then());
return output.doOnSubscribe(s -> sessionMono.subscribe());
}
As soon as the connection gets lost (3 seconds no input anymore), a TimeoutException is thrown. But how can I reconnect the socket?
There is no out-of-the-box solution, reconnection mechanism is not part of JSR 356 - Java API for WebSocket. But you can implement it on your own - a simple example with Spring events:
Step 1 - Create an event class.
public class ReconnectionEvent extends ApplicationEvent {
private String url;
public ReconnectionEvent(String url) {
super(url);
this.url = url;
}
public String getUrl() {
return url;
}
}
Step 2 - Provide a method for websocket connection. An example:
...
#Autowired
private ApplicationEventPublisher publisher;
...
public void connect(String url) {
ReactorNettyWebSocketClient client = new ReactorNettyWebSocketClient();
EmitterProcessor<String> output = EmitterProcessor.create();
Mono<Void> sessionMono = client.execute(URI.create(url),
session -> session.receive()
.map(WebSocketMessage::getPayloadAsText)
.log()
.subscribeWith(output)
.doOnTerminate(() -> publisher.publishEvent(new ReconnectEvent(url)))
.then());
output
.doOnSubscribe(s -> sessionMono.subscribe())
.subscribe();
}
Check doOnTerminate() method - when the Flux terminates, either by completing successfully or with an error, it emits a ReconnectEvent. If necessary, you can emit the reconnection event on other Flux's callbacks (for example only on doOnError()).
Step 3 - Provide a listener, that connects again on given url when a reconnection event occures.
#EventListener(ReconnectEvent.class)
public void onApplicationEvent(ReconnectEvent event) {
connect(event.getUrl());
}
I did something by using UnicastProcessor of reactor.
...
public abstract class AbstractWsReconnectClient {
private Logger ...
protected UnicastProcessor<AbstractWsReconnectClient> reconnectProcessor = UnicastProcessor.create();
protected AbstractWsReconnectClient(Duration reconnectDuration) {
reconnect(reconnectDuration);
}
public abstract Mono<Void> connect();
private void reconnect(Duration duration) {
reconnectProcessor.publish()
.autoConnect()
.delayElements(duration)
.flatMap(AbstractWsReconnectClient::connect)
.onErrorContinue(throwable -> true,
(throwable, o) -> {
if (throwable instanceof ConnectException) {
logger.warn(throwable.getMessage());
} else {
logger.error("unexpected error occur during websocket reconnect");
logger.error(throwable.getMessage());
}
})
.doOnTerminate(() -> logger.error("websocket reconnect processor terminate "))
.subscribe();
}
}
When the WebSocketClient is terminate, invoke UnicastProcessor.onNext
public Mono<Void> connect() {
WebSocketClient client = new ReactorNettyWebSocketClient();
logger.info("trying to connect to sso server {}", uri.toString());
return client.execute(uri, headers, ssoClientHandler)
.doOnTerminate(() -> {
logger.warn("sso server {} disconnect", uri.toString());
super.reconnectProcessor.onNext(this);
});
}
I have a requirement to send payload to a lot of devices whose names are picked from Database. Then, i have to send to different topics, which will be like settings/{put devicename here}.
Below is the configuration i was using which i got from spring-boot reference documents.
MQTTConfiguration.java
#Configuration
#IntegrationComponentScan
public class MQTTConfiguration {
#Autowired
private Settings settings;
#Autowired
private DevMqttMessageListener messageListener;
#Bean
MqttPahoClientFactory mqttClientFactory() {
DefaultMqttPahoClientFactory clientFactory = new DefaultMqttPahoClientFactory();
clientFactory.setServerURIs(settings.getMqttBrokerUrl());
clientFactory.setUserName(settings.getMqttBrokerUser());
clientFactory.setPassword(settings.getMqttBrokerPassword());
return clientFactory;
}
#Bean
MessageChannel mqttOutboundChannel() {
return new DirectChannel();
}
#Bean
#ServiceActivator(inputChannel = "mqttOutboundChannel")
public MessageHandler mqttOutbound() {
MqttPahoMessageHandler messageHandler = new MqttPahoMessageHandler("dev-client-outbound",
mqttClientFactory());
messageHandler.setAsync(true);
messageHandler.setDefaultTopic(settings.getMqttPublishTopic());
return messageHandler;
}
#MessagingGateway(defaultRequestChannel = "mqttOutboundChannel")
public interface DeviceGateway {
void sendToMqtt(String payload);
}
}
Here, i am sending to only 1 topic. So i added the bean like below to send to multiple number of topics;
#Bean
public MqttClient mqttClient() throws MqttException {
MqttClient mqttClient = new MqttClient(settings.getMqttBrokerUrl(), "dev-client-outbound");
MqttConnectOptions connOptions = new MqttConnectOptions();
connOptions.setUserName(settings.getMqttBrokerUser());
connOptions.setPassword(settings.getMqttBrokerPassword().toCharArray());
mqttClient.connect(connOptions);
return mqttClient;
}
and i send using,
try {
mqttClient.publish(settings.getMqttPublishTopic()+device.getName(), mqttMessage);
} catch (MqttException e) {
LOGGER.error("Error While Sending Mqtt Messages", e);
}
Which works.
But my question is, Can i achieve the same, using output channel for better performance? If yes, any help is greatly appreciated. Thank You.
MqttClient is synchronous.
The MqttPahoMessageHandler uses an MqttAsyncClient and can be configured (set async to true) to not wait for the confirmation, but publish the confirmation later as an application event.
If you are using your own code and sending multiple messages in a loop, it will probably be faster to use an async client, and wait for the IMqttDeliveryToken completions later.
I am using Spring 4.1.x APIs, Spring Integration 4.1.x APIs and Spring Integration Java DSL 1.0.x APIs for an EIP flow where we consume messages from an Oracle database table using a JdbcPollingChannelAdpater as the entry point into the flow.
Even though we have an ErrorHandler configured on the JdbcPollingChannelAdapter's Poller, we are seeing that a session's Transaction is still rolled back and not committed when a RuntimeException is thrown and correctly handled by the ErrorHandler.
After reading through this thread: Spring Transactions - Prevent rollback after unchecked exceptions (RuntimeException), I get the feeling that it is not possible to prevent a rollback and instead force a commit. Is this correct? And, if there is a way, what is the cleanest way to force a commit instead of a rollback when an error is safely handled?
Current Configuration:
IntegrationConfig.java:
#Bean
public MessageSource<Object> jdbcMessageSource() {
JdbcPollingChannelAdapter adapter = new JdbcPollingChannelAdapter(
dataSource,
"select * from SERVICE_TABLE where rownum <= 10 for update skip locked");
adapter.setUpdateSql("delete from SERVICE_TABLE where SERVICE_MESSAGE_ID in (:id)");
adapter.setRowMapper(serviceMessageRowMapper);
adapter.setMaxRowsPerPoll(1);
adapter.setUpdatePerRow(true);
return adapter;
}
#SuppressWarnings("unchecked")
#Bean
public IntegrationFlow inFlow() {
return IntegrationFlows
.from(jdbcMessageSource(),
c -> {
c.poller(Pollers.fixedRate(100)
.maxMessagesPerPoll(10)
.transactional(transactionManager)
.errorHandler(errorHandler));
})
.channel(inProcessCh()).get();
}
ErrorHandler.java
#Component
public class ErrorHandler implements org.springframework.util.ErrorHandler {
#Autowired
private PlatformTransactionManager transactionManager;
private static final Logger logger = LogManager.getLogger();
#Override
public void handleError(Throwable t) {
logger.trace("handling error:{}", t.getMessage(), t);
// handle error code here...
// we want to force commit the transaction here?
TransactionStatus txStatus = transactionManager.getTransaction(null);
transactionManager.commit(txStatus);
}
}
--- EDITED to include ExpressionEvaluatingRequestHandlerAdvice Bean ---
#Bean
public Advice expressionEvaluatingRequestHandlerAdvice() {
ExpressionEvaluatingRequestHandlerAdvice expressionEvaluatingRequestHandlerAdvice = new ExpressionEvaluatingRequestHandlerAdvice();
expressionEvaluatingRequestHandlerAdvice.setTrapException(true);
expressionEvaluatingRequestHandlerAdvice.setOnSuccessExpression("payload");
expressionEvaluatingRequestHandlerAdvice
.setOnFailureExpression("payload");
expressionEvaluatingRequestHandlerAdvice.setFailureChannel(errorCh());
return expressionEvaluatingRequestHandlerAdvice;
}
--- EDITED to show Dummy Test Message handler ---
.handle(Message.class,
(m, h) -> {
boolean forceTestError = m.getHeaders().get("forceTestError");
if (forceTestError) {
logger.trace("simulated forced TestException");
TestException testException = new TestException(
"forced test exception");
throw testException;
}
logger.trace("simulated successful process");
return m;
}, e-> e.advice(expressionEvaluatingRequestHandlerAdvice())
--- EDITED to show ExecutorChannelInterceptor method ---
#Bean
public IntegrationFlow inFlow() {
return IntegrationFlows
.from(jdbcMessageSource(), c -> {
c.poller(Pollers.fixedRate(100).maxMessagesPerPoll(10)
.transactional(transactionManager));
})
.enrichHeaders(h -> h.header("errorChannel", errorCh(), true))
.channel(
MessageChannels.executor("testSyncTaskExecutor",
syncTaskExecutor()).interceptor(
testExecutorChannelInterceptor()))
.handle(Message.class, (m, h) -> {
boolean forceTestError = m.getHeaders().get("forceTestError");
if (forceTestError) {
logger.trace("simulated forced TestException");
TestException testException = new TestException(
"forced test exception");
throw testException;
}
logger.trace("simulated successful process");
}).channel("nullChannel").get();
}
It won't work just because your ErrorHandler works already after the finish of TX.
Here is a couple lines of source code (AbstractPollingEndpoint.Poller):
#Override
public void run() {
taskExecutor.execute(new Runnable() {
#Override
public void run() {
.............
try {
if (!pollingTask.call()) {
break;
}
count++;
}
catch (Exception e) {
....
}
}
}
});
}
Where:
The ErrorHandler is applied for the taskExecutor (SyncTaskExecutor) by default.
TransactionInterceptor being as Aspect is applied for the Proxy around that pollingTask.
Therefore TX is done around the pollingTask.call() and goes out. And only after that your ErrorHandler starts to work inside taskExecutor.execute().
To fix your issue, you need to figure out which downstream flow part isn't so critical for TX rallback and make there some try...catch or use ExpressionEvaluatingRequestHandlerAdvice to "burke" that RuntimeException.
But as you have noticed by my reasoning that must be done within TX.