如何打印Ktor Server部署配置的默认参数值?
打印Ktor Server(Netty)默认配置参数的方法
因为NettyApplicationEngine的configuration字段是internal修饰的,无法直接访问,以下是几种可行的方案:
方案一:通过反射获取内部配置
直接反射读取NettyApplicationEngine实例里的配置对象,示例代码:
import io.ktor.server.engine.ApplicationEngine import io.ktor.server.netty.NettyApplicationEngine import java.lang.reflect.Field fun printNettyConfig(engine: ApplicationEngine) { if (engine is NettyApplicationEngine) { val configField = NettyApplicationEngine::class.java.getDeclaredField("configuration") configField.isAccessible = true val config = configField.get(engine) // 反射读取具体参数 val connectionGroupSize = config.javaClass.getDeclaredField("connectionGroupSize").get(config) val workerGroupSize = config.javaClass.getDeclaredField("workerGroupSize").get(config) val callGroupSize = config.javaClass.getDeclaredField("callGroupSize").get(config) println("Netty默认配置参数:") println("connectionGroupSize: $connectionGroupSize") println("workerGroupSize: $workerGroupSize") println("callGroupSize: $callGroupSize") } } // 在EngineMain启动后调用,比如在模块里保存engine实例或者通过回调获取 fun main() { val engine = EngineMain.main(arrayOf("-config=application.conf")) printNettyConfig(engine) }
方案二:自定义Netty引擎启动并打印配置
如果可以调整启动方式,不直接用EngineMain的默认启动,而是手动构建NettyApplicationEngine,这样就能直接访问配置(包括默认值):
import io.ktor.server.netty.Netty import io.ktor.server.netty.NettyApplicationEngine import io.ktor.server.application.Application import io.ktor.server.application.install import io.ktor.server.routing.routing import io.ktor.server.routing.get import io.ktor.server.response.respondText fun main() { val engine = NettyApplicationEngine(applicationEngineEnvironment { module { routing { get("/") { call.respondText("Hello World!") } } } }) // 直接访问配置的默认值 println("connectionGroupSize: ${engine.configuration.connectionGroupSize}") println("workerGroupSize: ${engine.configuration.workerGroupSize}") println("callGroupSize: ${engine.configuration.callGroupSize}") engine.start(wait = true) }
方案三:查看源码直接获取默认值
如果不想写代码,直接查看Ktor Netty引擎的源码,NettyApplicationEngine.Configuration类里的默认值定义:
connectionGroupSize默认值:max(1, Runtime.getRuntime().availableProcessors() / 2)workerGroupSize默认值:Runtime.getRuntime().availableProcessors()callGroupSize默认值:Runtime.getRuntime().availableProcessors()
内容的提问来源于stack exchange,提问作者500865
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