@conditionalonmissingbean did not specify a bean using type, name or annotation and the attempt to deduce the bean's type failed
时间: 2023-04-26 18:02:27 浏览: 293
这个错误提示意味着在使用@conditionalonmissingbean注解时,没有指定bean的类型、名称或注解,而且尝试推断bean的类型也失败了。可能需要检查注解的使用方式或者bean的定义是否正确。
相关问题
The bean 'Call.FeignClientSpecification' could not be registered. A bean with that name has already been defined and overriding is disabled.
This error indicates that there is a conflict in the Spring bean configuration. The bean named 'Call.FeignClientSpecification' is being registered multiple times, which is not allowed by default. Spring considers this as an error and throws an exception.
To resolve this issue, there are a few possible solutions:
1. Check your codebase for duplicate bean definitions. Make sure you are not accidentally registering the same bean multiple times.
2. If you intentionally have multiple bean definitions for 'Call.FeignClientSpecification', you can enable bean overriding by adding the following property to your application.properties or application.yml file:
```
spring.main.allow-bean-definition-overriding=true
```
However, be cautious when using this approach, as it may lead to unexpected behavior if there are conflicting bean definitions.
3. If you are using Spring Boot, you can use the '@Primary' annotation on one of the bean definitions to specify which one should take precedence in case of conflicts. For example:
```java
@Primary
@Bean
public Call.FeignClientSpecification primaryFeignClientSpecification() {
// bean definition
}
```
This will mark the bean as primary and resolve any conflicts.
I hope this helps! Let me know if you have any further questions.
The connection to the server k8s-api:8443 was refused - did you specify the right host or port?
I'm sorry to hear that you're experiencing connection issues. To troubleshoot this, make sure you have specified the correct host and port for your Kubernetes API server. Double-check the configuration files or command-line arguments you are using to connect to the server.
If you are using a command-line tool like `kubectl`, you can try running the following command to verify the connection:
```
kubectl cluster-info
```
This command will display information about the Kubernetes cluster, including the API server endpoint.
If the issue persists, it's possible that there may be network-related problems preventing the connection. Make sure that there are no firewall rules or network restrictions blocking the communication between your client machine and the Kubernetes API server.
If you need further assistance, please provide more details about your setup and any error messages you are receiving.