Rust分布式系统开发库kurtosis-sdk的使用,kurtosis-sdk助力构建可扩展的微服务与云原生应用
Rust分布式系统开发库kurtosis-sdk的使用,kurtosis-sdk助力构建可扩展的微服务与云原生应用
Kurtosis Rust SDK
这是一个基于Kurtosis的SDK,基于可用的protobufs构建。
示例
确保引擎正在运行:
kurtosis engine start
然后你可以使用Kurtosis+Rust运行一个Starlark脚本:
use kurtosis_sdk::{engine_api::{engine_service_client::{EngineServiceClient}, CreateEnclaveArgs}, enclave_api::{api_container_service_client::ApiContainerServiceClient, RunStarlarkScriptArgs}};
use kurtosis_sdk::enclave_api::starlark_run_response_line::RunResponseLine::InstructionResult;
const STARLARK_SCRIPT : &str = "
def main(plan):
plan.print('Hello World!')
";
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// 创建enclave
let mut engine = EngineServiceClient::connect("https://[::1]:9710").await?;
let create_enclave_response = engine.create_enclave(CreateEnclaveArgs{
enclave_name: "my-rust-test".to_string(),
api_container_log_level: "info".to_string(),
// 默认值
api_container_version_tag: "".to_string(),
is_partitioning_enabled: false,
}).await?.into_inner();
// 连接到enclave
let enclave_port = create_enclave_response.enclave_info.expect("Enclave info必须存在").api_container_host_machine_info.expect("Enclave主机信息必须存在").grpc_port_on_host_machine;
let mut enclave = ApiContainerServiceClient::connect(format!("https://[::1]:{}", enclave_port)).await?;
// 运行Starlark脚本
let mut run_result = enclave.run_starlark_script(RunStarlarkScriptArgs{
serialized_script: STARLARK_SCRIPT.to_string(),
serialized_params: "{}".to_string(),
dry_run: Option::Some(false),
parallelism: Option::None,
main_function_name: "main".to_string(),
}).await?.into_inner();
// 获取输出行
while let Some(next_message) = run_result.message().await? {
next_message.run_response_line.map(|line| match line {
InstructionResult(result) => {
println!("{}", result.serialized_instruction_result)
}
_ => (),
});
}
Ok(())
}
完整示例
以下是一个更完整的示例,展示了如何使用kurtosis-sdk构建微服务:
use kurtosis_sdk::{
engine_api::{
engine_service_client::EngineServiceClient,
CreateEnclaveArgs,
GetEnclavesArgs
},
enclave_api::{
api_container_service_client::ApiContainerServiceClient,
RunStarlarkScriptArgs,
StartServicesArgs,
ServiceInfo
}
};
use tokio::time::{sleep, Duration};
const MICROSERVICE_SCRIPT: &str = r#"
def main(plan):
# 添加Postgres服务
postgres = plan.add_service(
name="postgres",
config=ServiceConfig(
image="postgres:latest",
env_vars={
"POSTGRES_PASSWORD": "password
},
ports={
"postgres": PortSpec(number=5432)
}
)
)
# 添加Redis服务
redis = plan.add_service(
name="redis",
config=ServiceConfig(
image="redis:latest",
ports={
"redis": PortSpec(number=6379)
}
)
)
# 添加应用服务
app = plan.add_service(
name="app",
config=ServiceConfig(
image="my-app:latest",
env_vars={
"DB_HOST": postgres.hostname,
"DB_PORT": postgres.ports["postgres"].number,
"REDIS_HOST": redis.hostname,
"REDIS_PORT": redis.ports["redis"].number
},
ports={
"http": PortSpec(number=8080)
}
)
)
plan.print("所有服务已启动!")
"#;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// 连接到Kurtosis引擎
let mut engine = EngineServiceClient::connect("http://localhost:9710").await?;
// 创建新的enclave
let create_response = engine.create_enclave(CreateEnclaveArgs {
enclave_name: "microservices-demo".to_string(),
api_container_log_level: "info".to_string(),
api_container_version_tag: "".to_string(),
is_partitioning_enabled: false,
}).await?;
let enclave_info = create_response.into_inner().enclave_info.unwrap();
let port = enclave_info.api_container_host_machine_info.unwrap().grpc_port_on_host_machine;
// 连接到enclave
let mut enclave = ApiContainerServiceClient::connect(format!("http://localhost:{}", port)).await?;
// 运行Starlark脚本部署微服务
let mut run_result = enclave.run_starlark_script(RunStarlarkScriptArgs {
serialized_script: MICROSERVICE_SCRIPT.to_string(),
serialized_params: "{}".to_string(),
dry_run: Some(false),
parallelism: None,
main_function_name: "main".to_string(),
}).await?;
// 检查服务状态
sleep(Duration::from_secs(5)).await;
let services = enclave.start_services(StartServicesArgs {
service_identifiers: vec!["postgres".to_string(), "redis".to_string(), "app".to_string()],
}).await?.into_inner().services;
for (name, service) in services {
println!("服务 {} 运行在 {}", name, service.private_ip);
for (port_name, port_spec) in service.ports {
println!(" - {}: {}", port_name, port_spec.number);
}
}
Ok(())
}
安装
在项目目录中运行以下Cargo命令:
cargo add kurtosis-sdk
或者在你的Cargo.toml中添加以下行:
kurtosis-sdk = "1.10.3"
许可证
BUSL-1.1
1 回复
Rust分布式系统开发库kurtosis-sdk的使用指南
概述
kurtosis-sdk是一个用于构建可扩展微服务和云原生应用的Rust开发库,它提供了一套工具和抽象来简化分布式系统的开发过程。该SDK特别适合需要高可靠性和可扩展性的云原生应用场景。
主要特性
- 分布式服务编排能力
- 微服务生命周期管理
- 内置服务发现机制
- 弹性伸缩支持
- 云原生友好设计
安装方法
在Cargo.toml中添加依赖:
[dependencies]
kurtosis-sdk = "0.5.0" # 请使用最新版本
tokio = { version = "1.0", features = ["full"] }
基本使用方法
1. 初始化服务
use kurtosis_sdk::prelude::*;
#[tokio::main]
async fn main() -> Result<(), KurtosisError> {
let kurtosis_context = KurtosisContext::new()?;
// 服务初始化代码...
Ok(())
}
2. 定义微服务
#[derive(Debug, Service)]
pub struct UserService {
#[port]
http_port: PortSpec,
#[configuration]
config: UserServiceConfig,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct UserServiceConfig {
db_url: String,
cache_size: usize,
}
3. 服务部署示例
async fn deploy_user_service(context: &KurtosisContext) -> Result<ServiceHandle, KurtosisError> {
let config = UserServiceConfig {
db_url: "postgres://user:pass@db:5432".to_string(),
cache_size: 1024,
};
let service = UserService::new(
PortSpec::http(8080),
config
);
let handle = context.deploy_service(service).await?;
Ok(handle)
}
高级功能
服务发现
async fn discover_services(context: &KurtosisContext) -> Result<(), KurtosisError> {
let services = context.discover_services().await?;
for service in services {
println!("Discovered service: {:?}", service.name());
println!("Service endpoints: {:?}", service.endpoints());
}
Ok(())
}
弹性伸缩
async fn scale_service(handle: ServiceHandle, replicas: u32) -> Result<(), KurtosisError> {
handle.scale(replicas).await?;
Ok(())
}
完整示例
以下是一个完整的微服务系统示例,包含用户服务和API服务:
use kurtosis_sdk::prelude::*;
use serde::{Serialize, Deserialize};
// 用户服务定义
#[derive(Debug, Service)]
pub struct UserService {
#[port]
http_port: PortSpec,
#[configuration]
config: UserServiceConfig,
}
// 用户服务配置
#[derive(Debug, Serialize, Deserialize)]
pub struct UserServiceConfig {
db_url: String,
cache_size: usize,
}
// API服务定义
#[derive(Debug, Service)]
pub struct ApiService {
#[port]
http_port: PortSpec,
#[dependency]
user_service: ServiceHandle<UserService>,
}
// 部署用户服务函数
async fn deploy_user_service(context: &KurtosisContext) -> Result<ServiceHandle<UserService>, KurtosisError> {
let config = UserServiceConfig {
db_url: "postgres://user:pass@db:5432".to_string(),
cache_size: 1024,
};
let service = UserService::new(
PortSpec::http(8080),
config
);
context.deploy_service(service).await
}
#[tokio::main]
async fn main() -> Result<(), KurtosisError> {
// 初始化Kurtosis上下文
let context = KurtosisContext::new()?;
// 部署用户服务
let user_service = deploy_user_service(&context).await?;
// 部署API服务
let api_service = ApiService::new(
PortSpec::http(8000),
user_service
);
let api_handle = context.deploy_service(api_service).await?;
println!("API服务已部署,访问地址: {}", api_handle.endpoint("http_port")?);
// 示例:服务发现
let services = context.discover_services().await?;
println!("当前运行的服务数量: {}", services.len());
// 示例:弹性伸缩
api_handle.scale(3).await?;
println!("API服务已扩展到3个副本");
Ok(())
}
最佳实践
- 服务隔离:每个微服务应有明确的边界和职责
- 配置管理:使用SDK提供的配置管理功能而非硬编码
- 健康检查:为每个服务实现健康检查端点
- 日志聚合:集成分布式日志收集系统
- 监控:利用kurtosis-sdk的监控API暴露指标
故障排除
常见问题:
- 服务启动失败:检查端口冲突和资源配置
- 服务发现不可用:验证网络配置和服务注册
- 伸缩操作阻塞:检查资源配额和依赖关系
调试方法:
// 获取服务日志
let logs = handle.logs().await?;
println!("Service logs: {}", logs);
// 检查服务状态
let status = handle.status().await?;
println!("Service status: {:?}", status);