rust-dpdk

name	rust-dpdk
description	用户态网络专家。处理 DPDK, 用户态驱动, 高性能网络, packet processing, 零拷贝, RSS 负载均衡---

DPDK vs 内核网络栈

特性	内核网络栈	DPDK
上下文切换	每次包都切换	轮询模式，无切换
内存拷贝	多次拷贝	零拷贝
中断	频繁中断	轮询 (poll mode driver)
延迟	较高	微秒级
吞吐量	万级 PPS	百万级 PPS
CPU 利用率	较低但有开销	高但高效

核心组件

// DPDK 核心结构
struct DpdkContext {
    memory_pool: Mempool,        // 内存池
    ports: Vec<Port>,            // 网卡端口
    rx_queues: Vec<RxQueue>,     // 接收队列
    tx_queues: Vec<TxQueue>,     // 发送队列
    cpu_cores: Vec<Core>,        // CPU 核心分配
}

struct Port {
    port_id: u16,
    mac_addr: [u8; 6],
    link_speed: u32,
    max_queues: u16,
}

struct Mempool {
    name: String,
    buffer_size: usize,
    cache_size: usize,
    total_buffers: u32,
}

内存池管理

// 创建 DPDK 内存池
fn create_mempool() -> Result<Mempool, DpdkError> {
    let mempool = unsafe {
        rte_mempool_create(
            b"packet_pool\0".as_ptr() as *const c_char,
            NUM_BUFFERS as u32,        // 缓冲区数量
            BUFFER_SIZE as u16,        // 每个缓冲区大小
            CACHE_SIZE as u32,         // CPU 缓存大小
            0,                         // 私有数据大小
            Some(rte_pktmbuf_pool_init), // 初始化函数
            std::ptr::null(),          // 初始化参数
            Some(rte_pktmbuf_init),    // 对象初始化函数
            std::ptr::null(),          // 对象参数
            rte_socket_id() as i32,    // 内存所在 Socket
            0,                         // 标志位
        )
    };
    
    if mempool.is_null() {
        Err(DpdkError::MempoolCreateFailed)
    } else {
        Ok(Mempool { inner: mempool })
    }
}

// 分配缓冲区
fn alloc_mbuf(mempool: &Mempool) -> Option<*mut rte_mbuf> {
    unsafe {
        let mbuf = rte_pktmbuf_alloc(mempool.inner);
        if mbuf.is_null() {
            None
        } else {
            Some(mbuf)
        }
    }
}

零拷贝接收

// 零拷贝接收数据包
fn process_packets(
    port_id: u16,
    queue_id: u16,
    bufs: &mut [*mut rte_mbuf; MAX_BURST_SIZE],
) -> usize {
    let num_received = unsafe {
        rte_eth_rx_burst(
            port_id,
            queue_id,
            bufs.as_mut_ptr(),
            MAX_BURST_SIZE as u16,
        )
    };
    
    // 直接处理 mbuf，不需要拷贝
    for i in 0..num_received {
        let mbuf = bufs[i];
        
        // 访问数据（零拷贝）
        let data_ptr = unsafe {
            rte_pktmbuf_mtod(mbuf, *const u8)
        };
        let data_len = unsafe {
            rte_pktmbuf_pkt_len(mbuf)
        };
        
        // 处理数据包
        process_packet(data_ptr, data_len);
        
        // 释放 mbuf 回内存池
        unsafe {
            rte_pktmbuf_free(mbuf);
        }
    }
    
    num_received
}

批量发送

// 批量发送数据包
fn transmit_packets(
    port_id: u16,
    queue_id: u16,
    packets: &[Packet],
) -> usize {
    let mut mbufs: Vec<*mut rte_mbuf> = packets
        .iter()
        .map(|p| p.to_mbuf())
        .collect();
    
    let sent = unsafe {
        rte_eth_tx_burst(
            port_id,
            queue_id,
            mbufs.as_mut_ptr(),
            mbufs.len() as u16,
        )
    };
    
    // 释放未发送的 mbuf
    for i in sent..mbufs.len() {
        unsafe {
            rte_pktmbuf_free(mbufs[i]);
        }
    }
    
    sent
}

RSS 负载均衡

// 配置 RSS (Receive Side Scaling)
fn configure_rss(port_id: u16) -> Result<(), DpdkError> {
    let mut port_info: rte_eth_dev_info = unsafe { std::mem::zeroed() };
    unsafe {
        rte_eth_dev_info_get(port_id, &mut port_info);
    }
    
    // 配置 RSS 哈希
    let mut rss_conf: rte_eth_rss_conf = unsafe { std::mem::zeroed() };
    rss_conf.rss_key_len = 40;
    rss_conf.rss_hf = RTE_ETH_RSS_TCP | RTE_ETH_RSS_UDP | RTE_ETH_RSS_IPV4;
    
    unsafe {
        let ret = rte_eth_dev_rss_hash_conf_update(
            port_id,
            &rss_conf,
        );
        if ret < 0 {
            return Err(DpdkError::RssConfigFailed);
        }
    }
    
    Ok(())
}

// 根据哈希值分配队列
fn get_queue_by_hash(hash: u32, num_queues: u16) -> u16 {
    // 使用简单的取模分发
    (hash % num_queues as u32) as u16
}

多队列配置

// 配置多队列
fn configure_multi_queue(port_id: u16, num_queues: u16) -> Result<(), DpdkError> {
    let mut port_conf: rte_eth_conf = unsafe { std::mem::zeroed() };
    port_conf.rxmode.split_hdr_size = 0;
    port_conf.rxmode.mq_mode = rte_eth_mq_mode::ETH_MQ_RX_RSS;
    port_conf.txmode.mq_mode = rte_eth_mq_mode::ETH_MQ_TX_NONE;
    
    // 配置 RX 队列
    let mut rx_conf: rte_eth_rxconf = unsafe { std::mem::zeroed() };
    rx_conf.rx_free_thresh = 32;
    rx_conf.rx_drop_en = 0;
    
    // 配置 TX 队列
    let mut tx_conf: rte_eth_txconf = unsafe { std::mem::zeroed() };
    tx_conf.tx_free_thresh = 32;
    
    // 分配 RX 队列
    for queue in 0..num_queues {
        unsafe {
            let ret = rte_eth_rx_queue_setup(
                port_id,
                queue,
                1024, // 队列深度
                rte_socket_id() as u32,
                &rx_conf,
                mempool.inner,
            );
            if ret < 0 {
                return Err(DpdkError::QueueSetupFailed);
            }
        }
    }
    
    // 分配 TX 队列
    for queue in 0..num_queues {
        unsafe {
            let ret = rte_eth_tx_queue_setup(
                port_id,
                queue,
                1024,
                rte_socket_id() as u32,
                &tx_conf,
            );
            if ret < 0 {
                return Err(DpdkError::QueueSetupFailed);
            }
        }
    }
    
    Ok(())
}

CPU 亲和性

use std::os::raw::c_int;
use std::thread;

fn set_cpu_affinity(core_id: u32) -> Result<(), DpdkError> {
    let mut cpuset: cpu_set_t = unsafe { std::mem::zeroed() };
    
    unsafe {
        CPU_SET(core_id as usize, &mut cpuset);
        
        let ret = pthread_setaffinity_np(
            pthread_self(),
            std::mem::size_of::<cpu_set_t>(),
            &cpuset,
        );
        
        if ret != 0 {
            return Err(DpdkError::AffinitySetFailed);
        }
    }
    
    Ok(())
}

// 为每个 RX 队列分配专用核心
fn allocate_cores_for_queues(num_queues: u16) {
    for queue in 0..num_queues {
        thread::spawn(move || {
            set_cpu_affinity(queue as u32).unwrap();
            process_queue(queue);
        });
    }
}

性能优化

优化点	方法
内存对齐	缓存行对齐 (64 字节)
无锁队列	使用 SPSC 队列
批处理	批量收发减少系统调用
CPU 亲和性	核心绑定减少上下文切换
Hugepages	2MB/1GB 大页减少 TLB miss

与其他技能关联

rust-dpdk
    │
    ├─► rust-performance → 性能优化
    ├─► rust-embedded → no_std 环境
    └─► rust-concurrency → 并发模型