That being said, may possibly not add up to even accomplish that. I cannot inquire the new builders as to why it was done so method, they aren’t here anymore. That it project’s story is only able to learn the help of its Git record.
I think our company is playing with Springtime Studies Other individuals incorrect, improperly blend WebMVC axioms. Whenever we had not done so right away, one thing will have manage much much easier. We’re today carried out with this new Spring Study Rest migration. It is the right time to circulate onto our very own 2nd Spring module, Springtime Kafka. Springtime Kafka, or in other words Springtime having Apache Kafka , is a superb solution to play with Kafka on your own Springtime ideas. It provides simple-to-play with themes having sending messages and you may regular Spring season annotations to possess drinking texts.Spring season Kafka
Configuring the newest users
step one [ERROR] coffee.lang.IllegalStateException: Did not weight ApplicationContext 2 3 Caused by: org.springframework.beans.facility.BeanCreationException: Mistake doing bean that have label 'consumerFactory' laid out in group road money [ de / application / config / KafkaConsumerConfig . class ]: cuatro 5 Caused by: java . lang . NullPointerException six at java . ft / java . util . concurrent . ConcurrentHashMap . putVal ( ConcurrentHashMap . java: ten11 ) eight at java . base / java . util . concurrent . ConcurrentHashMap . init >( ConcurrentHashMap . java: 852 ) 8 at org . springframework . kafka . center . DefaultKafkaConsumerFactory . init >( DefaultKafkaConsumerFactory . java: 125 ) nine at org . springframework . kafka . core . DefaultKafkaConsumerFactory . init >( DefaultKafkaConsumerFactory . java: 98 ) 10 at de . app . config . KafkaConsumerConfig . consumerFactory ( AbstractKafkaConsumerConfig . java: 120 )
It turns out, we had been configuring the consumerConfigs bean and setting null values in its properties. The following change from HashMap to ConcurrentHashMap means we can no longer configure null values. We refactored our code and now tests are green. Easy-peasy.
Kafka messages which have JsonFilter
1 [ERROR] org .apache .kafka mon .problems .SerializationException : Can 't serialize studies [Knowledge [payload=MyClass(Id=201000000041600097, . ] for situation [my-topic] 2 3 Because of: com.fasterxml.jackson.databind.exc.InvalidDefinitionException: You should never resolve PropertyFilter having id ‘myclassFilter' ; zero FilterProvider set up (courtesy resource chain: de .try .Enjoy [ "payload" ] ) 4 at com .fasterxml .jackson .databind .exc .InvalidDefinitionException .off (InvalidDefinitionException .coffee : 77 )
Some of our Java Beans use ato manipulate the serialization and deserialization. This requires a propertyFilter to be configured on the ObjectMapper.
Spring for Apache Kafka made a change to the JsonSerializer , introducing an ObjectWriter . When the ObjectWriter instance is created, the ObjectMapper https://internationalwomen.net/es/chicas-coreanas-calientes/ configuration is copied, not referenced. Our test case was re-configuring the ObjectMapper with the appropriate propertyFilter after the ObjectWriter instance was created. Hence, the ObjectWriter didn't know anything about the propertyFilter (since the configuration was already copied). After some refactoring, changing how we create and configure the JsonSerializer , our test cases were green.
Running our build $ mvn clean verify finally resulted in a green build. Everything is working as it should. We pushed our changes to Bitbucket and everything built like a charm.
Classes learned updating Spring Kafka
Sessions discovered throughout the Spring season Boot enhance
Spring and Spring Boot do a great job documenting their releases, their release notes are well maintained. That being said, upgrading was challenging, it took quite a while before everything was working again. A big part of that is on us, for not following best practices, guidelines, etc. A lot of this code was written when the team was just starting out with Spring and Spring Boot. Code evolves over time, without refactoring and applying those latest practices. Eventually that catches up with you, but we use this as a learning experience and improved things. Our test cases are now significantly better, and we'll keep a closer eye on them moving forward.