mirror of
https://github.com/0xfnzero/solana-streamer.git
synced 2026-08-21 04:48:07 +00:00
feat: refactor shred streaming with modular architecture
This commit is contained in:
+38
-511
@@ -1,335 +1,20 @@
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use std::sync::Arc;
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use tokio::sync::Mutex;
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use futures::{channel::mpsc, StreamExt};
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use solana_entry::entry::Entry;
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use tonic::transport::Channel;
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use log::error;
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use solana_sdk::transaction::VersionedTransaction;
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use crate::common::AnyResult;
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use crate::streaming::event_parser::{EventParserFactory, Protocol, UnifiedEvent};
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use crate::protos::shredstream::shredstream_proxy_client::ShredstreamProxyClient;
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use crate::protos::shredstream::SubscribeEntriesRequest;
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use solana_sdk::pubkey::Pubkey;
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// -------------- TODO 待重构 --------------
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//
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// -------------- --------------
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use crate::common::AnyResult;
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use crate::streaming::common::EventBatchProcessor;
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use crate::streaming::event_parser::common::filter::EventTypeFilter;
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use crate::streaming::event_parser::{Protocol, UnifiedEvent};
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use crate::streaming::shred::{ShredEventProcessor, ShredStreamHandler, TransactionWithSlot};
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// 默认配置常量
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const DEFAULT_CHANNEL_SIZE: usize = 1000;
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const DEFAULT_BATCH_SIZE: usize = 100;
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const DEFAULT_BATCH_TIMEOUT_MS: u64 = 5;
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/// ShredStream批处理配置
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#[derive(Debug, Clone)]
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pub struct ShredBatchConfig {
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/// 批处理大小(默认:100)
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pub batch_size: usize,
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/// 批处理超时时间(毫秒,默认:10ms)
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pub batch_timeout_ms: u64,
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/// 是否启用批处理(默认:true)
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pub enabled: bool,
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}
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impl Default for ShredBatchConfig {
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fn default() -> Self {
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Self {
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batch_size: DEFAULT_BATCH_SIZE,
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batch_timeout_ms: DEFAULT_BATCH_TIMEOUT_MS,
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enabled: true,
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}
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}
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}
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/// ShredStream背压配置
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#[derive(Debug, Clone)]
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pub struct ShredBackpressureConfig {
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/// 通道大小(默认:10000)
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pub channel_size: usize,
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}
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impl Default for ShredBackpressureConfig {
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fn default() -> Self {
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Self { channel_size: DEFAULT_CHANNEL_SIZE }
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}
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}
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/// ShredStream完整配置
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#[derive(Debug, Clone)]
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pub struct ShredClientConfig {
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/// 批处理配置
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pub batch: ShredBatchConfig,
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/// 背压配置
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pub backpressure: ShredBackpressureConfig,
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/// 是否启用性能监控(默认:false)
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pub enable_metrics: bool,
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}
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impl Default for ShredClientConfig {
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fn default() -> Self {
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Self {
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batch: ShredBatchConfig::default(),
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backpressure: ShredBackpressureConfig::default(),
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enable_metrics: false,
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}
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}
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}
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impl ShredClientConfig {
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/// 创建高性能配置(适合高并发场景)
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pub fn high_performance() -> Self {
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Self {
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batch: ShredBatchConfig { batch_size: 200, batch_timeout_ms: 5, enabled: true },
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backpressure: ShredBackpressureConfig { channel_size: 20000 },
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enable_metrics: true,
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}
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}
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/// 创建低延迟配置(适合实时场景)
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pub fn low_latency() -> Self {
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Self {
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batch: ShredBatchConfig {
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batch_size: 10,
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batch_timeout_ms: 1,
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enabled: false, // 禁用批处理,即时处理
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},
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backpressure: ShredBackpressureConfig { channel_size: 1000 },
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enable_metrics: false,
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}
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}
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}
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/// ShredStream性能监控指标
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#[derive(Debug, Clone)]
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pub struct ShredPerformanceMetrics {
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pub events_processed: u64,
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pub events_per_second: f64,
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pub average_processing_time_ms: f64,
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pub min_processing_time_ms: f64,
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pub max_processing_time_ms: f64,
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pub last_update_time: std::time::Instant,
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pub events_in_window: u64,
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pub window_start_time: std::time::Instant,
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}
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impl Default for ShredPerformanceMetrics {
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fn default() -> Self {
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Self::new()
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}
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}
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impl ShredPerformanceMetrics {
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pub fn new() -> Self {
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let now = std::time::Instant::now();
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Self {
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events_processed: 0,
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events_per_second: 0.0,
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average_processing_time_ms: 0.0,
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min_processing_time_ms: 0.0,
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max_processing_time_ms: 0.0,
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last_update_time: now,
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events_in_window: 0,
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window_start_time: now,
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}
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}
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}
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#[derive(Clone)]
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pub struct ShredStreamGrpc {
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shredstream_client: Arc<ShredstreamProxyClient<Channel>>,
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config: ShredClientConfig,
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metrics: Arc<Mutex<ShredPerformanceMetrics>>,
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}
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struct TransactionWithSlot {
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transaction: VersionedTransaction,
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slot: u64,
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}
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/// ShredStream批处理器
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pub struct ShredBatchProcessor<F>
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where
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F: FnMut(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
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{
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callback: F,
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batch: Vec<Box<dyn UnifiedEvent>>,
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batch_size: usize,
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timeout_ms: u64,
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last_flush_time: std::time::Instant,
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}
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impl<F> ShredBatchProcessor<F>
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where
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F: FnMut(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
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{
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pub fn new(callback: F, batch_size: usize, timeout_ms: u64) -> Self {
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Self {
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callback,
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batch: Vec::with_capacity(batch_size),
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batch_size,
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timeout_ms,
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last_flush_time: std::time::Instant::now(),
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}
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}
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pub fn add_event(&mut self, event: Box<dyn UnifiedEvent>) {
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self.batch.push(event);
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// 检查是否需要刷新批次
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if self.batch.len() >= self.batch_size || self.should_flush_by_timeout() {
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self.flush();
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}
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}
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pub fn flush(&mut self) {
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if !self.batch.is_empty() {
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let events = std::mem::replace(&mut self.batch, Vec::with_capacity(self.batch_size));
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(self.callback)(events);
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self.last_flush_time = std::time::Instant::now();
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}
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}
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fn should_flush_by_timeout(&self) -> bool {
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self.last_flush_time.elapsed().as_millis() >= self.timeout_ms as u128
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}
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}
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use super::ShredStreamGrpc;
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impl ShredStreamGrpc {
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/// 创建客户端,使用默认配置
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pub async fn new(endpoint: String) -> AnyResult<Self> {
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Self::new_with_config(endpoint, ShredClientConfig::default()).await
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}
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/// 创建客户端,使用自定义配置
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pub async fn new_with_config(endpoint: String, config: ShredClientConfig) -> AnyResult<Self> {
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let shredstream_client = ShredstreamProxyClient::connect(endpoint.clone()).await?;
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Ok(Self {
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shredstream_client: Arc::new(shredstream_client),
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config,
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metrics: Arc::new(Mutex::new(ShredPerformanceMetrics::new())),
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})
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}
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/// 创建高性能客户端(适合高并发场景)
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pub async fn new_high_performance(endpoint: String) -> AnyResult<Self> {
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Self::new_with_config(endpoint, ShredClientConfig::high_performance()).await
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}
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/// 创建低延迟客户端(适合实时场景)
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pub async fn new_low_latency(endpoint: String) -> AnyResult<Self> {
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Self::new_with_config(endpoint, ShredClientConfig::low_latency()).await
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}
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/// 获取当前配置
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pub fn get_config(&self) -> &ShredClientConfig {
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&self.config
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}
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/// 更新配置
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pub fn update_config(&mut self, config: ShredClientConfig) {
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self.config = config;
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}
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/// 获取性能指标
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pub async fn get_metrics(&self) -> ShredPerformanceMetrics {
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let metrics = self.metrics.lock().await;
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metrics.clone()
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}
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/// 启用或禁用性能监控
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pub fn set_enable_metrics(&mut self, enabled: bool) {
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self.config.enable_metrics = enabled;
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}
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/// 打印性能指标
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pub async fn print_metrics(&self) {
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let metrics = self.get_metrics().await;
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println!("📊 ShredStream Performance Metrics:");
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println!(" Events Processed: {}", metrics.events_processed);
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println!(" Events/Second: {:.2}", metrics.events_per_second);
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println!(" Avg Processing Time: {:.2}ms", metrics.average_processing_time_ms);
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println!(" Min Processing Time: {:.2}ms", metrics.min_processing_time_ms);
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println!(" Max Processing Time: {:.2}ms", metrics.max_processing_time_ms);
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println!("---");
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}
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/// 启动自动性能监控任务
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pub async fn start_auto_metrics_monitoring(&self) {
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// 检查是否启用性能监控
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if !self.config.enable_metrics {
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return; // 如果未启用性能监控,不启动监控任务
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}
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let grpc_clone = self.clone();
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tokio::spawn(async move {
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let mut interval = tokio::time::interval(tokio::time::Duration::from_secs(10));
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loop {
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interval.tick().await;
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grpc_clone.print_metrics().await;
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}
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});
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}
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/// 更新性能指标
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async fn update_metrics(&self, events_processed: u64, processing_time_ms: f64) {
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// 检查是否启用性能监控
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if !self.config.enable_metrics {
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return; // 如果未启用性能监控,直接返回
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}
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let mut metrics = self.metrics.lock().await;
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let now = std::time::Instant::now();
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metrics.events_processed += events_processed;
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metrics.events_in_window += events_processed;
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metrics.last_update_time = now;
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// 更新最快和最慢处理时间
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if processing_time_ms < metrics.min_processing_time_ms || metrics.min_processing_time_ms == 0.0 {
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metrics.min_processing_time_ms = processing_time_ms;
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}
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if processing_time_ms > metrics.max_processing_time_ms {
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metrics.max_processing_time_ms = processing_time_ms;
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}
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// 计算平均处理时间
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if metrics.events_processed > 0 {
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metrics.average_processing_time_ms = (metrics.average_processing_time_ms
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* (metrics.events_processed - events_processed) as f64
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+ processing_time_ms)
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/ metrics.events_processed as f64;
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}
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// 基于时间窗口计算每秒处理事件数(5秒窗口)
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let window_duration = std::time::Duration::from_secs(5);
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if now.duration_since(metrics.window_start_time) >= window_duration {
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let window_seconds = now.duration_since(metrics.window_start_time).as_secs_f64();
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if window_seconds > 0.0 && metrics.events_in_window > 0 {
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metrics.events_per_second = metrics.events_in_window as f64 / window_seconds;
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} else {
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// 如果窗口内没有事件,保持之前的速率或设为0
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metrics.events_per_second = 0.0;
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}
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// 重置窗口
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metrics.events_in_window = 0;
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metrics.window_start_time = now;
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} else {
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// 如果窗口还没满,不更新 events_per_second,保持之前的计算值
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// 这样可以避免因为单次批处理时间波动导致的指标跳跃
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}
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}
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/// 订阅ShredStream事件(支持批处理和即时处理)
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pub async fn shredstream_subscribe<F>(
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&self,
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protocols: Vec<Protocol>,
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bot_wallet: Option<Pubkey>,
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event_type_filter: Option<EventTypeFilter>,
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callback: F,
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) -> AnyResult<()>
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where
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@@ -337,37 +22,41 @@ impl ShredStreamGrpc {
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{
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// 启动自动性能监控(如果启用)
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if self.config.enable_metrics {
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self.start_auto_metrics_monitoring().await;
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self.metrics_manager.start_auto_monitoring().await;
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}
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let request = tonic::Request::new(SubscribeEntriesRequest {});
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let mut client = (*self.shredstream_client).clone();
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let stream = client.subscribe_entries(request).await?.into_inner();
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let (tx, rx) = mpsc::channel::<TransactionWithSlot>(self.config.backpressure.channel_size);
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// 启动流处理
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let client = (*self.shredstream_client).clone();
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let (_stream_task, rx) = ShredStreamHandler::start_stream_processing(
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client,
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self.config.backpressure.channel_size,
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)
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.await?;
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// 根据配置选择处理模式
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if self.config.batch.enabled {
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// 批处理模式
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self.process_with_batch(stream, tx, rx, protocols, bot_wallet, callback).await
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self.process_with_batch(rx, protocols, bot_wallet, event_type_filter, callback).await
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} else {
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// 即时处理模式
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self.process_immediate(stream, tx, rx, protocols, bot_wallet, callback).await
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self.process_immediate(rx, protocols, bot_wallet, event_type_filter, callback).await
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}
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}
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/// 批处理模式
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async fn process_with_batch<F>(
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&self,
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mut stream: tonic::codec::Streaming<crate::protos::shredstream::Entry>,
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mut tx: mpsc::Sender<TransactionWithSlot>,
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mut rx: mpsc::Receiver<TransactionWithSlot>,
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mut rx: futures::channel::mpsc::Receiver<TransactionWithSlot>,
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protocols: Vec<Protocol>,
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bot_wallet: Option<Pubkey>,
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event_type_filter: Option<EventTypeFilter>,
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callback: F,
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) -> AnyResult<()>
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where
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F: Fn(Box<dyn UnifiedEvent>) + Send + Sync + 'static,
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{
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use futures::StreamExt;
|
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|
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// 创建批处理器,将单个事件回调转换为批量回调
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let batch_callback = move |events: Vec<Box<dyn UnifiedEvent>>| {
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for event in events {
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@@ -375,47 +64,28 @@ impl ShredStreamGrpc {
|
||||
}
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||||
};
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||||
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let mut batch_processor = ShredBatchProcessor::new(
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let mut batch_processor = EventBatchProcessor::new(
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||||
batch_callback,
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||||
self.config.batch.batch_size,
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||||
self.config.batch.batch_timeout_ms,
|
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);
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||||
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||||
tokio::spawn(async move {
|
||||
while let Some(message) = stream.next().await {
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||||
match message {
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||||
Ok(msg) => {
|
||||
if let Ok(entries) = bincode::deserialize::<Vec<Entry>>(&msg.entries) {
|
||||
for entry in entries {
|
||||
for transaction in entry.transactions {
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||||
let _ = tx.try_send(TransactionWithSlot {
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||||
transaction: transaction.clone(),
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||||
slot: msg.slot,
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||||
});
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||||
}
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||||
}
|
||||
}
|
||||
}
|
||||
Err(error) => {
|
||||
error!("Stream error: {error:?}");
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
// 创建事件处理器
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||||
let event_processor =
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||||
ShredEventProcessor::new(self.metrics_manager.clone(), self.config.clone());
|
||||
|
||||
let self_clone = self.clone();
|
||||
while let Some(transaction_with_slot) = rx.next().await {
|
||||
if let Err(e) = self_clone
|
||||
if let Err(e) = event_processor
|
||||
.process_transaction_with_batch(
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||||
transaction_with_slot,
|
||||
protocols.clone(),
|
||||
bot_wallet,
|
||||
&mut batch_processor,
|
||||
event_type_filter.clone(),
|
||||
)
|
||||
.await
|
||||
{
|
||||
error!("Error processing transaction: {e:?}");
|
||||
log::error!("Error processing transaction: {e:?}");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -428,179 +98,36 @@ impl ShredStreamGrpc {
|
||||
/// 即时处理模式
|
||||
async fn process_immediate<F>(
|
||||
&self,
|
||||
mut stream: tonic::codec::Streaming<crate::protos::shredstream::Entry>,
|
||||
mut tx: mpsc::Sender<TransactionWithSlot>,
|
||||
mut rx: mpsc::Receiver<TransactionWithSlot>,
|
||||
mut rx: futures::channel::mpsc::Receiver<TransactionWithSlot>,
|
||||
protocols: Vec<Protocol>,
|
||||
bot_wallet: Option<Pubkey>,
|
||||
event_type_filter: Option<EventTypeFilter>,
|
||||
callback: F,
|
||||
) -> AnyResult<()>
|
||||
where
|
||||
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync + 'static,
|
||||
{
|
||||
tokio::spawn(async move {
|
||||
while let Some(message) = stream.next().await {
|
||||
match message {
|
||||
Ok(msg) => {
|
||||
if let Ok(entries) = bincode::deserialize::<Vec<Entry>>(&msg.entries) {
|
||||
for entry in entries {
|
||||
for transaction in entry.transactions {
|
||||
let _ = tx.try_send(TransactionWithSlot {
|
||||
transaction: transaction.clone(),
|
||||
slot: msg.slot,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Err(error) => {
|
||||
error!("Stream error: {error:?}");
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
use futures::StreamExt;
|
||||
|
||||
// 创建事件处理器
|
||||
let event_processor =
|
||||
ShredEventProcessor::new(self.metrics_manager.clone(), self.config.clone());
|
||||
|
||||
let self_clone = self.clone();
|
||||
while let Some(transaction_with_slot) = rx.next().await {
|
||||
if let Err(e) = self_clone
|
||||
if let Err(e) = event_processor
|
||||
.process_transaction_immediate(
|
||||
transaction_with_slot,
|
||||
protocols.clone(),
|
||||
bot_wallet,
|
||||
event_type_filter.clone(),
|
||||
&callback,
|
||||
)
|
||||
.await
|
||||
{
|
||||
error!("Error processing transaction: {e:?}");
|
||||
log::error!("Error processing transaction: {e:?}");
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// 即时处理单个交易
|
||||
async fn process_transaction_immediate<F>(
|
||||
&self,
|
||||
transaction_with_slot: TransactionWithSlot,
|
||||
protocols: Vec<Protocol>,
|
||||
bot_wallet: Option<Pubkey>,
|
||||
callback: &F,
|
||||
) -> AnyResult<()>
|
||||
where
|
||||
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync,
|
||||
{
|
||||
let start_time = std::time::Instant::now();
|
||||
let program_received_time_ms = chrono::Utc::now().timestamp_millis();
|
||||
let slot = transaction_with_slot.slot;
|
||||
let versioned_tx = transaction_with_slot.transaction;
|
||||
let signature = versioned_tx.signatures[0];
|
||||
|
||||
// 预分配向量容量
|
||||
let mut all_events = Vec::with_capacity(protocols.len() * 2);
|
||||
|
||||
for protocol in protocols {
|
||||
let parser = EventParserFactory::create_parser(protocol.clone());
|
||||
let events = parser
|
||||
.parse_versioned_transaction(
|
||||
&versioned_tx,
|
||||
&signature.to_string(),
|
||||
Some(slot),
|
||||
None,
|
||||
program_received_time_ms,
|
||||
bot_wallet,
|
||||
)
|
||||
.await
|
||||
.unwrap_or_else(|_e| vec![]);
|
||||
all_events.extend(events);
|
||||
}
|
||||
|
||||
// 保存事件数量用于日志记录
|
||||
let event_count = all_events.len();
|
||||
|
||||
// 即时处理事件
|
||||
for event in all_events {
|
||||
callback(event);
|
||||
}
|
||||
|
||||
// 更新性能指标
|
||||
let processing_time = start_time.elapsed();
|
||||
let processing_time_ms = processing_time.as_millis() as f64;
|
||||
|
||||
// 实际调用性能指标更新
|
||||
self.update_metrics(event_count as u64, processing_time_ms).await;
|
||||
|
||||
// 记录慢处理操作
|
||||
if processing_time_ms > 5.0 {
|
||||
log::warn!(
|
||||
"ShredStream transaction processing took {}ms for {} events",
|
||||
processing_time_ms,
|
||||
event_count
|
||||
);
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn process_transaction_with_batch<F>(
|
||||
&self,
|
||||
transaction_with_slot: TransactionWithSlot,
|
||||
protocols: Vec<Protocol>,
|
||||
bot_wallet: Option<Pubkey>,
|
||||
batch_processor: &mut ShredBatchProcessor<F>,
|
||||
) -> AnyResult<()>
|
||||
where
|
||||
F: FnMut(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
|
||||
{
|
||||
let start_time = std::time::Instant::now();
|
||||
let program_received_time_ms = chrono::Utc::now().timestamp_millis();
|
||||
let slot = transaction_with_slot.slot;
|
||||
let versioned_tx = transaction_with_slot.transaction;
|
||||
let signature = versioned_tx.signatures[0];
|
||||
|
||||
// 预分配向量容量
|
||||
let mut all_events = Vec::with_capacity(protocols.len() * 2);
|
||||
|
||||
for protocol in protocols {
|
||||
let parser = EventParserFactory::create_parser(protocol.clone());
|
||||
let events = parser
|
||||
.parse_versioned_transaction(
|
||||
&versioned_tx,
|
||||
&signature.to_string(),
|
||||
Some(slot),
|
||||
None,
|
||||
program_received_time_ms,
|
||||
bot_wallet,
|
||||
)
|
||||
.await
|
||||
.unwrap_or_else(|_e| vec![]);
|
||||
all_events.extend(events);
|
||||
}
|
||||
|
||||
// 保存事件数量用于日志记录
|
||||
let event_count = all_events.len();
|
||||
|
||||
// 使用批处理器处理事件
|
||||
for event in all_events {
|
||||
batch_processor.add_event(event);
|
||||
}
|
||||
|
||||
// 更新性能指标
|
||||
let processing_time = start_time.elapsed();
|
||||
let processing_time_ms = processing_time.as_millis() as f64;
|
||||
|
||||
// 实际调用性能指标更新
|
||||
self.update_metrics(event_count as u64, processing_time_ms).await;
|
||||
|
||||
// 记录慢处理操作
|
||||
if processing_time_ms > 5.0 {
|
||||
log::warn!(
|
||||
"ShredStream transaction processing took {}ms for {} events",
|
||||
processing_time_ms,
|
||||
event_count
|
||||
);
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user