分類彙整: Java

Gradle 產生含 pom.xml 的 Jar 檔

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build.gradle 加這些：

plugins {
id 'maven-publish'
}

publishing {
publications {
mavenJava(MavenPublication) {
from components.java
}
}
}

jar {
into("META-INF/maven/$project.group/$project.name") {
from { generatePomFileForMavenJavaPublication }
rename ".*", "pom.xml"
}
}

components.java 不是指 .java 檔，不用改它

然後跑 gradle publishToMavenLocal（我現在是只先做到產生 Jar 再自己上傳到 packagecloud）

其他細節參考 https://docs.gradle.org/current/userguide/publishing_maven.html

 

Spring Cloud AWS – Assume Role & Proxy configuration for STS & SQS

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@Configuration
public class AppConfig {
private static final String SESSION_NAME = "sample";

@Value("${proxy.host:#{null}}")
private String proxyHost;

@Value("${proxy.port:0}")
private int proxyPort;

@Value("${cloud.aws.region.static}")
private String region;

@Bean
@Primary
public AWSCredentialsProvider awsCredentialsProvider(
@Value("${cloud.aws.credentials.accessKey}") String accessKey,
@Value("${cloud.aws.credentials.secretKey}") String secretKey,
@Value("${cloud.aws.role}") String role) {

AWSSecurityTokenService stsClient = AWSSecurityTokenServiceClientBuilder.standard()
.withRegion(region)
.withClientConfiguration(clientConfiguration())
.withCredentials(new AWSStaticCredentialsProvider(new BasicAWSCredentials(accessKey, secretKey)))
.build();

return new STSAssumeRoleSessionCredentialsProvider
.Builder(role, SESSION_NAME)
.withStsClient(stsClient)
.build();
}

@Bean
public QueueMessageHandlerFactory queueMessageHandlerFactory() {
QueueMessageHandlerFactory factory = new QueueMessageHandlerFactory();
MappingJackson2MessageConverter messageConverter = new MappingJackson2MessageConverter();

messageConverter.setStrictContentTypeMatch(false);
factory.setArgumentResolvers(Collections.singletonList(new PayloadArgumentResolver(messageConverter)));
return factory;
}

@Bean(name = "amazonSQS")
public AmazonSQSAsync amazonSQSAsyncClient(AWSCredentialsProvider awsCredentialsProvider) {
return AmazonSQSAsyncClientBuilder.standard()
.withRegion(region)
.withCredentials(awsCredentialsProvider)
.withClientConfiguration(clientConfiguration())
.build();
}

@Bean
ClientConfiguration clientConfiguration() {
ClientConfiguration clientConfiguration = new ClientConfiguration();

if (!StringUtils.isEmpty(proxyHost)) {
clientConfiguration.setProxyHost(proxyHost);
clientConfiguration.setProxyPort(proxyPort);
}

return clientConfiguration;
}
}

Azure Functions 的 Java 啟動表現頗慘

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先看圖

簡直慘不忍睹，問了微軟，他們建議是用 App Service 方案開啟 Always On

看 App Service 方案定價，似乎就等於租了一個虛擬機

感覺和 AWS Lambda 落差滿大，AWS Lambda 可是真的按使用計價，而且沒有這樣的 overhead

另外 Azure Functions 的 C# 表現，看起來也不如 AWS Lambda 穩定