
以下是结合最新技术的Java学习路线实操内容,包含环境搭建、微服务项目实战及DevOps流程:
curl -s "https://get.sdkman.io" | bash # 安装SDKMAN
source "$HOME/.sdkman/bin/sdkman-init.sh" # 初始化
sdk install java 21.0.1-tem # 安装Java 21 LTS使用Gradle 8.5配置Kotlin DSL构建脚本,示例build.gradle.kts:
plugins {
id("org.springframework.boot") version "3.3.0"
id("io.spring.dependency-management") version "1.1.4"
kotlin("jvm") version "1.9.20"
}
group = "com.example"
version = "0.0.1-SNAPSHOT"
repositories {
mavenCentral()
maven { url = uri("https://repo.spring.io/milestone") }
}
dependencies {
implementation("org.springframework.boot:spring-boot-starter-webflux")
implementation("org.springframework.boot:spring-boot-starter-data-r2dbc")
implementation("com.fasterxml.jackson.module:jackson-module-kotlin")
runtimeOnly("com.mysql:mysql-connector-j")
runtimeOnly("dev.miku:r2dbc-mysql")
}bookstore-microservices/
├── api-gateway/ # API网关服务
├── auth-service/ # 认证授权服务(JWT + Oauth2.1)
├── book-service/ # 图书管理服务(响应式)
├── order-service/ # 订单服务(Kotlin协程)
├── recommendation-service/# 推荐服务(集成AI模型)
└── notification-service/ # 通知服务(WebSocket + SSE)// BookRepository.kt(R2DBC响应式仓库)
interface BookRepository : ReactiveCrudRepository<Book, String> {
fun findByTitleContaining(title: String): Flux<Book>
}
// BookController.kt(WebFlux控制器)
@RestController
@RequestMapping("/api/books")
class BookController(private val repository: BookRepository) {
@GetMapping
fun getAllBooks(): Flux<Book> = repository.findAll()
@PostMapping
@ResponseStatus(HttpStatus.CREATED)
fun createBook(@RequestBody book: Mono<Book>): Mono<Book> =
book.flatMap { repository.save(it) }
}# 构建阶段
FROM gradle:8.5-jdk21 AS builder
WORKDIR /app
COPY . .
RUN gradle bootJar --no-daemon
# 运行阶段
FROM openjdk:21-slim
WORKDIR /app
COPY --from=builder /app/build/libs/*.jar app.jar
CMD ["java", "-jar", "app.jar"]stages:
- build
- test
- deploy
build:
image: gradle:8.5-jdk21
script:
- gradle build
artifacts:
paths:
- build/libs/*.jar
test:
image: gradle:8.5-jdk21
script:
- gradle test jacocoTestReport
coverage: '/^Line Coverage: (\d+\.\d+)%/'
deploy:
image: google/cloud-sdk:422.0.0
script:
- gcloud auth configure-docker
- docker build -t gcr.io/$PROJECT_ID/book-service:$CI_COMMIT_SHORT_SHA .
- docker push gcr.io/$PROJECT_ID/book-service:$CI_COMMIT_SHORT_SHA
- helm upgrade --install book-service charts/book-service --set image.tag=$CI_COMMIT_SHORT_SHA
environment:
name: production
url: https://bookstore.example.com
only:
- main在推荐服务中调用OpenAI API实现个性化推荐:
// OpenAI客户端配置
@Configuration
public class OpenAIConfig {
@Bean
public OpenAI openAI() {
return OpenAI.builder()
.apiKey(System.getenv("OPENAI_API_KEY"))
.build();
}
}
// 推荐服务实现
@Service
public class RecommendationService {
private final OpenAI openAI;
public List<Book> generateRecommendations(String userId) {
var prompt = "为用户" + userId + "推荐3本计算机科学领域的书籍";
var completion = openAI.chatCompletions()
.chatCompletionRequest(ChatCompletionRequest.builder()
.model("gpt-4-1106-preview")
.messages(List.of(
ChatMessage.ofSystem("你是一个专业的图书推荐系统"),
ChatMessage.ofUser(prompt)
))
.build())
.execute();
// 解析回复并转换为图书列表
return parseRecommendations(completion.choices().get(0).message().content());
}
}// 添加Micrometer依赖
implementation("io.micrometer:micrometer-registry-prometheus")
// 配置自定义指标
@Bean
MeterRegistryCustomizer<MeterRegistry> configurer(
@Value("${spring.application.name}") String applicationName) {
return (registry) -> registry.config().commonTags("application", applicationName);
}集成Spring Cloud Sleuth与Zipkin,实现分布式请求链路追踪:
spring:
sleuth:
sampler:
probability: 1.0 # 采样率100%
zipkin:
base-url: http://zipkin-server:9411/通过这套路线,你将从Java基础逐步掌握现代企业级开发技术栈,并具备独立开发和部署云原生应用的能力。
1、生成15个标签,且必需是热门关键字;
2、标签以“,”号隔开;
3、直接输出结果,不需要多余的话
资源地址:
https://pan.quark.cn/s/14fcf913bae6
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。