kandi X-RAY | spring-cloud-stream-kafka Summary
kandi X-RAY | spring-cloud-stream-kafka Summary
Fancy Dress Worker Service: Event Driven Microservice with Spring Cloud Stream & Apache Kafka Broker
Top functions reviewed by kandi - BETA
- Receive message event
- Deserializes a PackMessageEvent
- Registers or update event
- Get the event type
- Receive a rating message event
- Region > Save
- Creates a rating object from a rating message
- Calculates the average rating for a slip
- Retrieve trending details
- Finds all top trending views
- Retrieves the transient UUID
- Before the creation of the database
- Start the application
spring-cloud-stream-kafka Key Features
spring-cloud-stream-kafka Examples and Code Snippets
Trending Discussions on spring-cloud-stream-kafka
I am using spring-cloud-stream-kafka-binder-3.0.4 to consume the messages in batch, after consuming, converting the Message into object but getting the above exception.
Here is the code:...
ANSWERAnswered 2021-Oct-01 at 08:52
I managed to solve this Exception, by adding a Deserialiser.
So Below is my batch Listener, Instead of consuming
List> messages as mentioned in the question, consuming
I am using Spring Cloud Streams with the Kafka Streams Binder, the functional style processor API and also multiple processors.
It's really cool to configure a processing application with multiple processors and multiple Kafka topics in this way and staying in the Spring Boot universe with /actuator, WebClient and so on. Actually I like it more than using plain Apache Kafka Streams.
BUT: I would like to integrate exception handling for exceptions occurring within the processors and sending these unprocessable messages to a DLQ. I have setup already DLQs for deserialization errors, but I found no good advice on achieving this besides sobychacko's answer on a similar question. But this is only a snippet! Does anybody have a more detailed example? I am asking this because the Spring Cloud Stream documentation on branching looks quite different....
ANSWERAnswered 2021-Sep-29 at 18:30
Glad to hear about your usage of Spring Cloud Stream with Kafka Streams.
The reference docs you mentioned are from an older release. Please navigate to the newer docs from this page: https://spring.io/projects/spring-cloud-stream#learn
This question has come up before. See if these could help with your use case:
probably anyone know which value is default for
spring.cloud.stream.bindings..producer.header-mode in spring-cloud-stream-kafka-binder?
The problem is because in spring-cloud stream documentation we have
Default: Depends on the binder implementation.
ANSWERAnswered 2021-Nov-09 at 19:57
headers for the Apache Kafka binder.
In general, you can assume that for middleware that supports headers natively (e.g. Kafka since 0.11.0.0), the default will be
headers; for middleware that has no support for headers, it will be
none depending on what the developer chose.
I am consuming batches in kafka, where retry is not supported in spring cloud stream kafka binder with batch mode, there is an option given that You can configure a SeekToCurrentBatchErrorHandler (using a ListenerContainerCustomizer) to achieve similar functionality to retry in the binder.
I tried the same, but with SeekToCurrentBatchErrorHandler, but it's retrying more than the time set which is 3 times.
How can I do that? I would like to retry the whole batch.
How can I send the whole batch to dlq topic? like for record listener I used to match deliveryAttempt(retry) to 3 then send to DLQ topic, check in listener.
I have checked this link, which is exactly my issue but an example would be great help, with this library spring-cloud-stream-kafka-binder, can I achieve that. Please explain with an example, I am new to this.
Currently I have below code....
ANSWERAnswered 2021-Sep-14 at 14:01
RetryingBatchErrorHandler to send the whole batch to the DLT
RecoveringBatchErrorHandler where you can throw a
BatchListenerFailedException to tell it which record in the batch failed.
In both cases provide a
DeadLetterPublishingRecoverer to the error handler; disable DLTs in the binder.
Here's an example; it uses the newer functional style rather than the deprecated
@StreamListener, but the same concepts apply (but you should consider moving to the functional style).
I am using Spring Cloud stream with Kafka binder. To disable the auto-create topics I referred to this- How can I configure a Spring Cloud Stream (Kafka) application to autocreate the topics in Confluent Cloud?. But, it seems that setting this property is not working and the framework creates the topics automatically.
Here is the configuration in application.properties...
ANSWERAnswered 2021-Jun-25 at 14:51
That property configures the binder so that it will not create the topics; it does not set that consumer property.
To explicitly set that property, also set
I am following this template for
Spring-cloud-stream-kafka but got stuck while making the producer method
transactional. I have not used
kafka earlier so need help with this in case any configuration changes needed in
It works well if no transactional configuration added but when transactional configurations are added it gets timed out at startup -...
ANSWERAnswered 2020-Nov-23 at 14:45
Look at the server log.
Transactional producers will time out if there are fewer replicas of the transaction state log than required. By default 3 replicas are required and a minimum of 2 need to be in sync.
I want to send something to Kafka topic in producer-only (not in read-write process) transaction using output-channel. I read documentation and another topic on StackOverflow (Spring cloud stream kafka transactions in producer side).
Problem is that i need to set unique transactionIdPrefix per node. Any suggestion how to do it?...
ANSWERAnswered 2020-Oct-22 at 17:03
Here is one way...
I am working on
Spring Cloud Stream Apache Kafka example. I am developing code taking reference from : https://www.youtube.com/watch?v=YPDzcmqwCNo.
ANSWERAnswered 2020-Apr-18 at 20:05
It looks like that application is a bit behind with the versions used for Spring Boot and Spring Cloud. The concepts explained in that tutorial are still perfectly valid though. I sent a PR to the original repository used for that spring-tips in which I updated the versions used. More importantly, the actual code is also upgraded to reflect the latest recommended functional model of writing components in Spring Cloud Stream. I hope that helps.
I'm trying to bring up simple pub-sub application using spring cloud kafka binder. However I'm unable to set Serializer, DeSerialzer property and other producer and consumer properties in application.yml. I consistently get serialization/deserialization error. Even kafka logs in spring boot project shows producer and consumer config still users ByteArraySerializer. Below is the code sameple.
ANSWERAnswered 2020-Feb-21 at 19:54
I'm currently building an application that writes to a kafka topic and listens to that very same topic to generate a
ktable from it and materialize it into a store. The code i'm running is based on the following sample. I pretty much copied most of it (all except PageViewEventSource) and refactored the names to my use case. I also updated my
application.properties with the keys used in the sample.
When running the application i get the following errors:...
ANSWERAnswered 2020-Feb-12 at 18:47
Your broker setup requires a minimum replication factor of 3.
You can set the
... topic.replication-factor property for the binding.
See Consumer Properties in the binder documentation.
No vulnerabilities reported
You can use spring-cloud-stream-kafka like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the spring-cloud-stream-kafka component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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