amberjs 1.17.0

JavaScript/TypeScript runtime built with Rust and V8
Documentation 
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// 内存密集型工作负载
//
// 实现内存密集型任务的性能测试

use serde::{Deserialize, Serialize};
use std::collections::{BTreeMap, HashMap};
use super::{BenchmarkError, BenchmarkResult as Result, ResourceUsage, WorkloadResult};
use std::time::{Duration, Instant};

/// 内存密集型工作负载
#[derive(Debug)]
pub struct MemoryWorkload {
    workload_type: super::WorkloadType,
}
impl MemoryWorkload {
    /// 创建新的内存密集型工作负载
    pub fn new() -> Self {
        Self {
            workload_type: super::WorkloadType::MemoryIntensive,
        }
    }
    /// 执行工作负载
    pub async fn execute(
        &self,
        parameters: HashMap<String, serde_json::Value>>,
        concurrency: u32,
    ) -> Result<WorkloadResult> {
        let mut result = WorkloadResult::new(self.workload_type);
        result.start();
        let iterations: _ = get_iterations(&parameters);
        let operation: _ = get_operation(&parameters);
        // 并行执行内存任务
        let handles: Vec<_> = (0..concurrency)
            .map(|_| {
                let operation: _ = operation.clone();
                let iterations: _ = iterations;
                tokio::spawn(async move {
                    Self::run_memory_tasks(operation, iterations).await
                })
            })
            .collect();
        // 等待所有任务完成
        let mut total_iterations = 0;
        for handle in handles {
            match handle.await {
                Ok(Ok(iterations_completed)) => {
                    total_iterations += iterations_completed;
                }
                Ok(Err(e)) => {
                    result.add_error(&format!("Task failed: {}", e));
                }
                Err(e) => {
                    result.add_error(&format!("Task panicked: {}", e));
                }
            }
        }
        // 收集资源使用情况
        let resource_usage: _ = Self::collect_resource_usage();
        result.resource_usage = resource_usage;
        result.finish(total_iterations);
        Ok(result)
    }
    /// 运行内存任务
    async fn run_io_tasks(
        operation: String,
        iterations: u32,
    ) -> Result<u32, BenchmarkError> {
        let mut completed_iterations = 0;
        for _ in 0..iterations {
            match operation.as_str() {
                "large_allocation" => {
                    Self::large_allocation_benchmark().await?;
                }
                "memory_copy" => {
                    Self::memory_copy_benchmark().await?;
                }
                "memory_pressure" => {
                    Self::memory_pressure_benchmark().await?;
                }
                _ => {
                    return Err(BenchmarkError::ConfigError(
                        format!("Unknown operation: {}", operation));
                }
            }
            completed_iterations += 1;
            tokio::task::yield_now().await;
        }
        Ok(completed_iterations)
    }
    /// 大内存分配基准测试
    async fn large_allocation_benchmark() -> Result<(), BenchmarkError> {
        let _data: _ = vec![0u8; 1024 * 1024]; // 1MB
        Ok(())
    }
    /// 内存拷贝基准测试
    async fn memory_copy_benchmark() -> Result<(), BenchmarkError> {
        let src: _ = vec![0u8; 1024 * 1024]; // 1MB
        let mut dst = vec![0u8; 1024 * 1024];
        dst.copy_from_slice(&src);
        Ok(())
    }
    /// 内存压力基准测试
    async fn memory_pressure_benchmark() -> Result<(), BenchmarkError> {
        let _data: _ = vec![vec![0u8; 1024 * 100]; 100]; // 100MB
        Ok(())
    }
    /// 收集资源使用情况
    fn collect_resource_usage() -> ResourceUsage {
        ResourceUsage::new()
            .cpu_usage(50.0)
    }
}
impl Default for MemoryWorkload {
    fn default() -> Self {
        Self::new()
    }
}
/// 获取迭代次数
fn get_iterations(parameters: &HashMap<String, serde_json::Value>) -> u32 {
    parameters
        .get("iterations")
        .and_then(|v| v.as_u64())
        .map(|v| v as u32)
        .unwrap_or(50)
}
/// 获取操作类型
fn get_operation(parameters: &HashMap<String, serde_json::Value>) -> String {
    parameters
        .get("operation")
        .and_then(|v| v.as_str())
        .map(|s| s.to_string())
        .unwrap_or_else(|| "large_allocation".to_string())
}
#[cfg(test)]
mod tests {
    #[tokio::test]
    async fn test_workload_execution() {
        let workload: _ = MemoryWorkload::new();
        let mut parameters = HashMap::new();
        parameters.insert("iterations".to_string(), serde_json::Value::from(5u64));
        let result: _ = workload.execute(parameters, 1).await.unwrap();
        assert_eq!(result.workload_type, super::super::WorkloadType::MemoryIntensive);
        assert!(result.success);
    }
}