我正在尝试在 Spring Cloud Data Flow 中配置 DLQ。这是流定义以及我如何部署它
stream create --definition ":someTestTopic > custom-transform
--spring.cloud.stream.bindings.input.consumer.headerMode=raw | log --spring.cloud.stream.bindings.input.consumer.headerMode=raw" --name ticktran
stream deploy ticktran --properties
"apps.log.spring.cloud.stream.bindings.input.consumer.headerMode=raw,apps.custom-transform.spring.cloud.stream.bindings.input.consumer.headerMode=raw,app.custom-transform.spring.cloud.stream.bindings.output.destination=test-tran,app.log.spring.cloud.stream.bindings.input.destination=test-tran,app.custom-transform.spring.cloud.stream.kafka.bindings.test-tran.consumer.enableDlq=true"
在自定义转换 - 处理器代码中,我已经提到
if(out.contains("ERROR")) {
throw new RuntimeException("Error ");
}
这意味着如果消息包含 ERROR 则 RunTimeException 并且我想在 DLQ 中捕获这些消息。但似乎当我运行代码时,我没有得到任何名称为 test-tran 的 Kafka DL 队列。
我是否需要设置更多属性以启用 DLQ,或者我需要更改代码中的某些内容以正确使用 DLQ。
自定义转换代码
转换服务应用程序.java
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.hateoas.config.EnableEntityLinks;
@SpringBootApplication
@EnableEntityLinks
public class TransformationServiceApplication {
public static void main(String[] args) {
SpringApplication.run(TransformationServiceApplication.class, args);
}
}
TransformationMessageEndPoint.java
@EnableBinding(Processor.class)
@MessageEndpoint
public class TransformationMessageEndpoint {
private static final String NS = "http://openrisk.com/ingestion/";
AtomicInteger index = new AtomicInteger(1);
@ServiceActivator(inputChannel = Processor.INPUT, outputChannel = Processor.OUTPUT)
public Object process(Message<?> message) {
String out = new String((byte[])message.getPayload());
System.out.println("*****" + out);
if(out.contains("ERROR")) {
throw new RuntimeException("Error ");
}
return message;
}
}
pom.xml
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.3.6.RELEASE</version>
<relativePath /> <!-- lookup parent from repository -->
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-dataflow-server-local</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-stream-kafka</artifactId>
</dependency>
<!-- https://mvnrepository.com/artifact/org.springframework.cloud/spring-cloud-stream-binder-kafka -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-stream-binder-kafka</artifactId>
<version>1.0.0.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-stream-test-support</artifactId>
<version>1.0.0.BUILD-SNAPSHOT</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.cloud.stream.module</groupId>
<artifactId>spring-cloud-stream-modules-test-support</artifactId>
<version>1.0.0.BUILD-SNAPSHOT</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.jena</groupId>
<artifactId>jena-core</artifactId>
<version>3.1.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.fasterxml.jackson.core/jackson-core -->
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
<version>2.8.0</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
添加模块
app register --name custom-transform --type processor --uri maven://com.openrisk.openmargin:TransformationService:0.0.1-SNAPSHOT
添加流
stream create --definition ":someTesstTopic > custom-transform | log " --name ticktran
部署流
stream deploy ticktran --properties "app.log.spring.cloud.stream.bindings.input.consumer.headerMode=raw,app.custom-transform.spring.cloud.stream.bindings.input.consumer.headerMode=raw,app.custom-transform.spring.cloud.stream.kafka.bindings.input.consumer.enableDlq"