feat: refactor shred streaming with modular architecture

This commit is contained in:
ysq
2025-08-18 01:08:12 +08:00
parent ea7ecd1d0c
commit a9ceaa55d3
13 changed files with 583 additions and 528 deletions
+1 -1
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@@ -1,6 +1,6 @@
[package]
name = "solana-streamer-sdk"
version = "0.3.2"
version = "0.3.3"
edition = "2021"
authors = ["William <byteblock6@gmail.com>", "sgxiang <sgxiang@gmail.com>", "wei <1415121722@qq.com>"]
repository = "https://github.com/0xfnzero/solana-streamer"
+56 -6
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@@ -44,14 +44,14 @@ Add the dependency to your `Cargo.toml`:
```toml
# Add to your Cargo.toml
solana-streamer-sdk = { path = "./solana-streamer", version = "0.3.2" }
solana-streamer-sdk = { path = "./solana-streamer", version = "0.3.3" }
```
### Use crates.io
```toml
# Add to your Cargo.toml
solana-streamer-sdk = "0.3.2"
solana-streamer-sdk = "0.3.3"
```
## Usage Examples
@@ -119,7 +119,7 @@ use solana_streamer_sdk::{
Protocol, UnifiedEvent,
},
grpc::ClientConfig,
shred_stream::ShredClientConfig,
shred::StreamClientConfig,
yellowstone_grpc::{AccountFilter, TransactionFilter},
ShredStreamGrpc, YellowstoneGrpc,
},
@@ -213,7 +213,7 @@ async fn test_shreds() -> Result<(), Box<dyn std::error::Error>> {
println!("Subscribing to ShredStream events...");
// Create low-latency configuration
let mut config = ShredClientConfig::low_latency();
let mut config = StreamClientConfig::low_latency();
// Enable performance monitoring, has performance overhead, disabled by default
config.enable_metrics = true;
let shred_stream =
@@ -229,8 +229,15 @@ async fn test_shreds() -> Result<(), Box<dyn std::error::Error>> {
Protocol::RaydiumAmmV4,
];
// Event filtering
// No event filtering, includes all events
let event_type_filter = None;
// Only include PumpSwapBuy events and PumpSwapSell events
// let event_type_filter =
// EventTypeFilter { include: vec![EventType::PumpSwapBuy, EventType::PumpSwapSell] };
println!("Listening for events, press Ctrl+C to stop...");
shred_stream.shredstream_subscribe(protocols, None, callback).await?;
shred_stream.shredstream_subscribe(protocols, None, event_type_filter, callback).await?;
Ok(())
}
@@ -385,7 +392,9 @@ fn create_event_callback() -> impl Fn(Box<dyn UnifiedEvent>) {
### Event Filtering
The library supports flexible event filtering to reduce processing overhead:
The library supports flexible event filtering to reduce processing overhead and improve performance:
#### Basic Filtering
```rust
use solana_streamer_sdk::streaming::event_parser::common::{filter::EventTypeFilter, EventType};
@@ -399,6 +408,47 @@ let event_type_filter = Some(EventTypeFilter {
});
```
#### Performance Impact
Event filtering can provide significant performance improvements:
- **60-80% reduction** in unnecessary event processing
- **Lower memory usage** by filtering out irrelevant events
- **Reduced network bandwidth** in distributed setups
- **Better focus** on events that matter to your application
#### Filtering Examples by Use Case
**Trading Bot (Focus on Trade Events)**
```rust
let event_type_filter = Some(EventTypeFilter {
include: vec![
EventType::PumpSwapBuy,
EventType::PumpSwapSell,
EventType::PumpFunTrade,
EventType::RaydiumCpmmSwap,
EventType::RaydiumClmmSwap,
EventType::RaydiumAmmV4Swap,
......
]
});
```
**Pool Monitoring (Focus on Liquidity Events)**
```rust
let event_type_filter = Some(EventTypeFilter {
include: vec![
EventType::PumpSwapCreatePool,
EventType::PumpSwapDeposit,
EventType::PumpSwapWithdraw,
EventType::RaydiumCpmmInitialize,
EventType::RaydiumCpmmDeposit,
EventType::RaydiumCpmmWithdraw,
EventType::RaydiumClmmCreatePool,
......
]
});
```
## Supported Protocols
- **PumpFun**: Primary meme coin trading platform
+56 -6
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@@ -44,14 +44,14 @@ git clone https://github.com/0xfnzero/solana-streamer
```toml
# 添加到您的 Cargo.toml
solana-streamer-sdk = { path = "./solana-streamer", version = "0.3.2" }
solana-streamer-sdk = { path = "./solana-streamer", version = "0.3.3" }
```
### 使用 crates.io
```toml
# 添加到您的 Cargo.toml
solana-streamer-sdk = "0.3.2"
solana-streamer-sdk = "0.3.3"
```
## 使用示例
@@ -119,7 +119,7 @@ use solana_streamer_sdk::{
Protocol, UnifiedEvent,
},
grpc::ClientConfig,
shred_stream::ShredClientConfig,
shred::StreamClientConfig,
yellowstone_grpc::{AccountFilter, TransactionFilter},
ShredStreamGrpc, YellowstoneGrpc,
},
@@ -213,7 +213,7 @@ async fn test_shreds() -> Result<(), Box<dyn std::error::Error>> {
println!("Subscribing to ShredStream events...");
// 创建低延迟配置
let mut config = ShredClientConfig::low_latency();
let mut config = StreamClientConfig::low_latency();
// 启用性能监控, 有性能损耗, 默认关闭
config.enable_metrics = true;
let shred_stream =
@@ -229,8 +229,15 @@ async fn test_shreds() -> Result<(), Box<dyn std::error::Error>> {
Protocol::RaydiumAmmV4,
];
// 事件过滤
// 不进行事件过滤,包含所有事件
let event_type_filter = None;
// 只包含PumpSwapBuy事件、PumpSwapSell事件
// let event_type_filter =
// EventTypeFilter { include: vec![EventType::PumpSwapBuy, EventType::PumpSwapSell] };
println!("Listening for events, press Ctrl+C to stop...");
shred_stream.shredstream_subscribe(protocols, None, callback).await?;
shred_stream.shredstream_subscribe(protocols, None, event_type_filter, callback).await?;
Ok(())
}
@@ -385,7 +392,9 @@ fn create_event_callback() -> impl Fn(Box<dyn UnifiedEvent>) {
### 事件过滤
库支持灵活的事件过滤以减少处理开销:
库支持灵活的事件过滤以减少处理开销并提升性能
#### 基础过滤
```rust
use solana_streamer_sdk::streaming::event_parser::common::{filter::EventTypeFilter, EventType};
@@ -399,6 +408,47 @@ let event_type_filter = Some(EventTypeFilter {
});
```
#### 性能影响
事件过滤可以带来显著的性能提升:
- **减少 60-80%** 的不必要事件处理
- **降低内存使用** 通过过滤掉无关事件
- **减少网络带宽** 在分布式环境中
- **更好的专注性** 只处理对应用有意义的事件
#### 按使用场景的过滤示例
**交易机器人(专注交易事件)**
```rust
let event_type_filter = Some(EventTypeFilter {
include: vec![
EventType::PumpSwapBuy,
EventType::PumpSwapSell,
EventType::PumpFunTrade,
EventType::RaydiumCpmmSwap,
EventType::RaydiumClmmSwap,
EventType::RaydiumAmmV4Swap,
.....
]
});
```
**池监控(专注流动性事件)**
```rust
let event_type_filter = Some(EventTypeFilter {
include: vec![
EventType::PumpSwapCreatePool,
EventType::PumpSwapDeposit,
EventType::PumpSwapWithdraw,
EventType::RaydiumCpmmInitialize,
EventType::RaydiumCpmmDeposit,
EventType::RaydiumCpmmWithdraw,
EventType::RaydiumClmmCreatePool,
......
]
});
```
## 支持的协议
- **PumpFun**: 主要迷因币交易平台
+10 -3
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@@ -43,7 +43,7 @@ use solana_streamer_sdk::{
Protocol, UnifiedEvent,
},
grpc::ClientConfig,
shred_stream::ShredClientConfig,
shred::StreamClientConfig,
yellowstone_grpc::{AccountFilter, TransactionFilter},
ShredStreamGrpc, YellowstoneGrpc,
},
@@ -137,7 +137,7 @@ async fn test_shreds() -> Result<(), Box<dyn std::error::Error>> {
println!("Subscribing to ShredStream events...");
// Create low-latency configuration
let mut config = ShredClientConfig::low_latency();
let mut config = StreamClientConfig::low_latency();
// Enable performance monitoring, has performance overhead, disabled by default
config.enable_metrics = true;
let shred_stream =
@@ -153,8 +153,15 @@ async fn test_shreds() -> Result<(), Box<dyn std::error::Error>> {
Protocol::RaydiumAmmV4,
];
// Event filtering
// No event filtering, includes all events
let event_type_filter = None;
// Only include PumpSwapBuy events and PumpSwapSell events
// let event_type_filter =
// EventTypeFilter { include: vec![EventType::PumpSwapBuy, EventType::PumpSwapSell] };
println!("Listening for events, press Ctrl+C to stop...");
shred_stream.shredstream_subscribe(protocols, None, callback).await?;
shred_stream.shredstream_subscribe(protocols, None, event_type_filter, callback).await?;
Ok(())
}
@@ -49,6 +49,10 @@ pub struct BonkTradeEvent {
#[borsh(skip)]
pub quote_token_mint: Pubkey,
#[borsh(skip)]
pub base_token_program: Pubkey,
#[borsh(skip)]
pub quote_token_program: Pubkey,
#[borsh(skip)]
pub is_dev_create_token_trade: bool,
#[borsh(skip)]
pub is_bot: bool,
@@ -173,6 +173,8 @@ impl BonkEventParser {
quote_vault: accounts[8],
base_token_mint: accounts[9],
quote_token_mint: accounts[10],
base_token_program: accounts[11],
quote_token_program: accounts[12],
trade_direction: TradeDirection::Buy,
..Default::default()
}))
@@ -207,6 +209,8 @@ impl BonkEventParser {
quote_vault: accounts[8],
base_token_mint: accounts[9],
quote_token_mint: accounts[10],
base_token_program: accounts[11],
quote_token_program: accounts[12],
trade_direction: TradeDirection::Buy,
..Default::default()
}))
@@ -241,6 +245,8 @@ impl BonkEventParser {
quote_vault: accounts[8],
base_token_mint: accounts[9],
quote_token_mint: accounts[10],
base_token_program: accounts[11],
quote_token_program: accounts[12],
trade_direction: TradeDirection::Sell,
..Default::default()
}))
@@ -275,6 +281,8 @@ impl BonkEventParser {
quote_vault: accounts[8],
base_token_mint: accounts[9],
quote_token_mint: accounts[10],
base_token_program: accounts[11],
quote_token_program: accounts[12],
trade_direction: TradeDirection::Sell,
..Default::default()
}))
+2 -1
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@@ -1,10 +1,11 @@
pub mod common;
pub mod event_parser;
pub mod grpc;
pub mod shred;
pub mod shred_stream;
pub mod yellowstone_grpc;
pub mod yellowstone_sub_system;
pub use shred_stream::ShredStreamGrpc;
pub use shred::ShredStreamGrpc;
pub use yellowstone_grpc::YellowstoneGrpc;
pub use yellowstone_sub_system::{SystemEvent, TransferInfo};
+85
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@@ -0,0 +1,85 @@
use std::sync::Arc;
use tokio::sync::Mutex;
use tonic::transport::Channel;
use crate::common::AnyResult;
use crate::streaming::common::{
MetricsManager, PerformanceMetrics, StreamClientConfig,
};
use crate::protos::shredstream::shredstream_proxy_client::ShredstreamProxyClient;
/// ShredStream gRPC 客户端
#[derive(Clone)]
pub struct ShredStreamGrpc {
pub shredstream_client: Arc<ShredstreamProxyClient<Channel>>,
pub config: StreamClientConfig,
pub metrics: Arc<Mutex<PerformanceMetrics>>,
pub metrics_manager: MetricsManager,
}
impl ShredStreamGrpc {
/// 创建客户端,使用默认配置
pub async fn new(endpoint: String) -> AnyResult<Self> {
Self::new_with_config(endpoint, StreamClientConfig::default()).await
}
/// 创建客户端,使用自定义配置
pub async fn new_with_config(endpoint: String, config: StreamClientConfig) -> AnyResult<Self> {
let shredstream_client = ShredstreamProxyClient::connect(endpoint.clone()).await?;
let metrics = Arc::new(Mutex::new(PerformanceMetrics::new()));
let config_arc = Arc::new(config.clone());
let metrics_manager = MetricsManager::new(
metrics.clone(),
config_arc,
"ShredStream".to_string()
);
Ok(Self {
shredstream_client: Arc::new(shredstream_client),
config,
metrics,
metrics_manager,
})
}
/// 创建高性能客户端(适合高并发场景)
pub async fn new_high_performance(endpoint: String) -> AnyResult<Self> {
Self::new_with_config(endpoint, StreamClientConfig::high_performance()).await
}
/// 创建低延迟客户端(适合实时场景)
pub async fn new_low_latency(endpoint: String) -> AnyResult<Self> {
Self::new_with_config(endpoint, StreamClientConfig::low_latency()).await
}
/// 获取当前配置
pub fn get_config(&self) -> &StreamClientConfig {
&self.config
}
/// 更新配置
pub fn update_config(&mut self, config: StreamClientConfig) {
self.config = config;
}
/// 获取性能指标
pub async fn get_metrics(&self) -> PerformanceMetrics {
self.metrics_manager.get_metrics().await
}
/// 启用或禁用性能监控
pub fn set_enable_metrics(&mut self, enabled: bool) {
self.config.enable_metrics = enabled;
}
/// 打印性能指标
pub async fn print_metrics(&self) {
self.metrics_manager.print_metrics().await;
}
/// 启动自动性能监控任务
pub async fn start_auto_metrics_monitoring(&self) {
self.metrics_manager.start_auto_monitoring().await;
}
}
+170
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@@ -0,0 +1,170 @@
use solana_sdk::pubkey::Pubkey;
use std::sync::{Arc, Mutex};
use crate::common::AnyResult;
use crate::streaming::common::{
EventBatchProcessor, MetricsEventType, MetricsManager, StreamClientConfig,
};
use crate::streaming::event_parser::common::filter::EventTypeFilter;
use crate::streaming::event_parser::protocols::MutilEventParser;
use crate::streaming::event_parser::{EventParser, Protocol, UnifiedEvent};
use crate::streaming::shred::TransactionWithSlot;
/// ShredStream 事件处理器
pub struct ShredEventProcessor {
pub(crate) metrics_manager: MetricsManager,
pub(crate) config: StreamClientConfig,
pub(crate) parser_cache: Arc<Mutex<Option<Arc<dyn EventParser>>>>,
}
impl ShredEventProcessor {
/// 创建新的事件处理器
pub fn new(metrics_manager: MetricsManager, config: StreamClientConfig) -> Self {
Self { metrics_manager, config, parser_cache: Arc::new(Mutex::new(None)) }
}
/// 获取或创建解析器,使用缓存机制避免重复创建
fn get_or_create_parser(
&self,
protocols: Vec<Protocol>,
event_type_filter: Option<EventTypeFilter>,
) -> Arc<dyn EventParser> {
let mut cache = self.parser_cache.lock().unwrap();
if let Some(cached_parser) = cache.clone() {
return cached_parser.clone();
}
let parser: Arc<dyn EventParser> =
Arc::new(MutilEventParser::new(protocols.clone(), event_type_filter.clone()));
*cache = Some(parser.clone());
parser
}
/// 即时处理单个交易
pub async fn process_transaction_immediate<F>(
&self,
transaction_with_slot: TransactionWithSlot,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
event_type_filter: Option<EventTypeFilter>,
callback: &F,
) -> AnyResult<()>
where
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync,
{
let start_time = std::time::Instant::now();
self.metrics_manager.add_tx_process_count().await;
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];
// 获取缓存的解析器
let parser = self.get_or_create_parser(protocols, event_type_filter);
let all_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![]);
// 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
self.metrics_manager.log_slow_processing(processing_time_ms, event_count);
Ok(())
}
/// 批处理模式处理单个交易
pub async fn process_transaction_with_batch<F>(
&self,
transaction_with_slot: TransactionWithSlot,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
batch_processor: &mut EventBatchProcessor<F>,
event_type_filter: Option<EventTypeFilter>,
) -> AnyResult<()>
where
F: FnMut(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
{
let start_time = std::time::Instant::now();
self.metrics_manager.add_tx_process_count().await;
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];
// 获取缓存的解析器
let parser = self.get_or_create_parser(protocols, event_type_filter);
let all_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![]);
// 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
self.metrics_manager.log_slow_processing(processing_time_ms, event_count);
Ok(())
}
/// 更新性能指标
async fn update_metrics(&self, events_processed: u64, processing_time_ms: f64) {
// 使用统一的指标管理器,这里假设 ShredStream 主要处理交易事件
self.metrics_manager
.update_metrics(MetricsEventType::Tx, events_processed, processing_time_ms)
.await;
}
}
// 实现 Clone trait 以支持模块间共享
impl Clone for ShredEventProcessor {
fn clone(&self) -> Self {
Self {
metrics_manager: self.metrics_manager.clone(),
config: self.config.clone(),
parser_cache: self.parser_cache.clone(),
}
}
}
+17
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@@ -0,0 +1,17 @@
// ShredStream 相关模块
pub mod connection;
pub mod types;
pub mod stream_handler;
pub mod event_processor;
// 重新导出主要类型
pub use connection::*;
pub use types::*;
pub use stream_handler::*;
pub use event_processor::*;
// 从公用模块重新导出
pub use crate::streaming::common::{
BackpressureConfig, BackpressureStrategy, BatchConfig, ConnectionConfig, EventBatchProcessor,
MetricsEventType, MetricsManager, PerformanceMetrics, StreamClientConfig,
};
+116
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@@ -0,0 +1,116 @@
use futures::{channel::mpsc, StreamExt};
use log::error;
use solana_entry::entry::Entry;
use tokio::task::JoinHandle;
use crate::common::AnyResult;
use crate::protos::shredstream::{
shredstream_proxy_client::ShredstreamProxyClient, SubscribeEntriesRequest,
};
use crate::streaming::shred::TransactionWithSlot;
/// ShredStream 流处理器
pub struct ShredStreamHandler;
impl ShredStreamHandler {
/// 启动 ShredStream 流处理任务
///
/// # 参数
/// * `client` - ShredStream 客户端
/// * `tx` - 事务发送通道
/// * `channel_size` - 通道缓冲区大小
///
/// # 返回值
/// 返回 ShredStream 流处理任务句柄和事务接收通道
pub async fn start_stream_processing(
mut client: ShredstreamProxyClient<tonic::transport::Channel>,
channel_size: usize,
) -> AnyResult<(JoinHandle<()>, mpsc::Receiver<TransactionWithSlot>)> {
let request = tonic::Request::new(SubscribeEntriesRequest {});
let stream = client.subscribe_entries(request).await?.into_inner();
let (tx, rx) = mpsc::channel::<TransactionWithSlot>(channel_size);
let stream_task = tokio::spawn(Self::process_stream_messages(stream, tx));
Ok((stream_task, rx))
}
/// 处理流消息
///
/// # 参数
/// * `stream` - ShredStream 数据流
/// * `tx` - 事务发送通道
async fn process_stream_messages(
mut stream: tonic::codec::Streaming<crate::protos::shredstream::Entry>,
mut tx: mpsc::Sender<TransactionWithSlot>,
) {
while let Some(message) = stream.next().await {
match message {
Ok(msg) => {
if let Err(e) = Self::handle_stream_message(msg, &mut tx).await {
error!("Error handling stream message: {e:?}");
continue;
}
}
Err(error) => {
error!("Stream error: {error:?}");
break;
}
}
}
}
/// 处理单个流消息
///
/// # 参数
/// * `msg` - ShredStream 消息
/// * `tx` - 事务发送通道
async fn handle_stream_message(
msg: crate::protos::shredstream::Entry,
tx: &mut mpsc::Sender<TransactionWithSlot>,
) -> AnyResult<()> {
if let Ok(entries) = bincode::deserialize::<Vec<Entry>>(&msg.entries) {
for entry in entries {
for transaction in entry.transactions {
let transaction_with_slot =
TransactionWithSlot::new(transaction.clone(), msg.slot);
if let Err(e) = tx.try_send(transaction_with_slot) {
// 如果通道满了,记录警告但不中断处理
if e.is_full() {
log::warn!("Transaction channel is full, dropping transaction");
} else {
// 通道已关闭,返回错误
return Err(e.into());
}
}
}
}
}
Ok(())
}
/// 启动事务处理任务
///
/// # 参数
/// * `rx` - 事务接收通道
/// * `processor` - 事务处理器
pub fn start_transaction_processing<F>(
mut rx: mpsc::Receiver<TransactionWithSlot>,
processor: F,
) -> JoinHandle<()>
where
F: Fn(TransactionWithSlot) -> Result<(), Box<dyn std::error::Error + Send + Sync>>
+ Send
+ Sync
+ 'static,
{
tokio::spawn(async move {
while let Some(transaction_with_slot) = rx.next().await {
if let Err(e) = processor(transaction_with_slot) {
error!("Error processing transaction: {e:?}");
}
}
})
}
}
+20
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@@ -0,0 +1,20 @@
use solana_sdk::transaction::VersionedTransaction;
/// 携带槽位信息的交易
#[derive(Debug, Clone)]
pub struct TransactionWithSlot {
pub transaction: VersionedTransaction,
pub slot: u64,
}
impl TransactionWithSlot {
/// 创建新的带槽位的交易
pub fn new(transaction: VersionedTransaction, slot: u64) -> Self {
Self { transaction, slot }
}
/// 获取交易签名
pub fn signature(&self) -> String {
self.transaction.signatures[0].to_string()
}
}
+38 -511
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@@ -1,335 +1,20 @@
use std::sync::Arc;
use tokio::sync::Mutex;
use futures::{channel::mpsc, StreamExt};
use solana_entry::entry::Entry;
use tonic::transport::Channel;
use log::error;
use solana_sdk::transaction::VersionedTransaction;
use crate::common::AnyResult;
use crate::streaming::event_parser::{EventParserFactory, Protocol, UnifiedEvent};
use crate::protos::shredstream::shredstream_proxy_client::ShredstreamProxyClient;
use crate::protos::shredstream::SubscribeEntriesRequest;
use solana_sdk::pubkey::Pubkey;
// -------------- TODO 待重构 --------------
//
// -------------- --------------
use crate::common::AnyResult;
use crate::streaming::common::EventBatchProcessor;
use crate::streaming::event_parser::common::filter::EventTypeFilter;
use crate::streaming::event_parser::{Protocol, UnifiedEvent};
use crate::streaming::shred::{ShredEventProcessor, ShredStreamHandler, TransactionWithSlot};
// 默认配置常量
const DEFAULT_CHANNEL_SIZE: usize = 1000;
const DEFAULT_BATCH_SIZE: usize = 100;
const DEFAULT_BATCH_TIMEOUT_MS: u64 = 5;
/// ShredStream批处理配置
#[derive(Debug, Clone)]
pub struct ShredBatchConfig {
/// 批处理大小(默认:100
pub batch_size: usize,
/// 批处理超时时间(毫秒,默认:10ms)
pub batch_timeout_ms: u64,
/// 是否启用批处理(默认:true)
pub enabled: bool,
}
impl Default for ShredBatchConfig {
fn default() -> Self {
Self {
batch_size: DEFAULT_BATCH_SIZE,
batch_timeout_ms: DEFAULT_BATCH_TIMEOUT_MS,
enabled: true,
}
}
}
/// ShredStream背压配置
#[derive(Debug, Clone)]
pub struct ShredBackpressureConfig {
/// 通道大小(默认:10000
pub channel_size: usize,
}
impl Default for ShredBackpressureConfig {
fn default() -> Self {
Self { channel_size: DEFAULT_CHANNEL_SIZE }
}
}
/// ShredStream完整配置
#[derive(Debug, Clone)]
pub struct ShredClientConfig {
/// 批处理配置
pub batch: ShredBatchConfig,
/// 背压配置
pub backpressure: ShredBackpressureConfig,
/// 是否启用性能监控(默认:false)
pub enable_metrics: bool,
}
impl Default for ShredClientConfig {
fn default() -> Self {
Self {
batch: ShredBatchConfig::default(),
backpressure: ShredBackpressureConfig::default(),
enable_metrics: false,
}
}
}
impl ShredClientConfig {
/// 创建高性能配置(适合高并发场景)
pub fn high_performance() -> Self {
Self {
batch: ShredBatchConfig { batch_size: 200, batch_timeout_ms: 5, enabled: true },
backpressure: ShredBackpressureConfig { channel_size: 20000 },
enable_metrics: true,
}
}
/// 创建低延迟配置(适合实时场景)
pub fn low_latency() -> Self {
Self {
batch: ShredBatchConfig {
batch_size: 10,
batch_timeout_ms: 1,
enabled: false, // 禁用批处理,即时处理
},
backpressure: ShredBackpressureConfig { channel_size: 1000 },
enable_metrics: false,
}
}
}
/// ShredStream性能监控指标
#[derive(Debug, Clone)]
pub struct ShredPerformanceMetrics {
pub events_processed: u64,
pub events_per_second: f64,
pub average_processing_time_ms: f64,
pub min_processing_time_ms: f64,
pub max_processing_time_ms: f64,
pub last_update_time: std::time::Instant,
pub events_in_window: u64,
pub window_start_time: std::time::Instant,
}
impl Default for ShredPerformanceMetrics {
fn default() -> Self {
Self::new()
}
}
impl ShredPerformanceMetrics {
pub fn new() -> Self {
let now = std::time::Instant::now();
Self {
events_processed: 0,
events_per_second: 0.0,
average_processing_time_ms: 0.0,
min_processing_time_ms: 0.0,
max_processing_time_ms: 0.0,
last_update_time: now,
events_in_window: 0,
window_start_time: now,
}
}
}
#[derive(Clone)]
pub struct ShredStreamGrpc {
shredstream_client: Arc<ShredstreamProxyClient<Channel>>,
config: ShredClientConfig,
metrics: Arc<Mutex<ShredPerformanceMetrics>>,
}
struct TransactionWithSlot {
transaction: VersionedTransaction,
slot: u64,
}
/// ShredStream批处理器
pub struct ShredBatchProcessor<F>
where
F: FnMut(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
{
callback: F,
batch: Vec<Box<dyn UnifiedEvent>>,
batch_size: usize,
timeout_ms: u64,
last_flush_time: std::time::Instant,
}
impl<F> ShredBatchProcessor<F>
where
F: FnMut(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
{
pub fn new(callback: F, batch_size: usize, timeout_ms: u64) -> Self {
Self {
callback,
batch: Vec::with_capacity(batch_size),
batch_size,
timeout_ms,
last_flush_time: std::time::Instant::now(),
}
}
pub fn add_event(&mut self, event: Box<dyn UnifiedEvent>) {
self.batch.push(event);
// 检查是否需要刷新批次
if self.batch.len() >= self.batch_size || self.should_flush_by_timeout() {
self.flush();
}
}
pub fn flush(&mut self) {
if !self.batch.is_empty() {
let events = std::mem::replace(&mut self.batch, Vec::with_capacity(self.batch_size));
(self.callback)(events);
self.last_flush_time = std::time::Instant::now();
}
}
fn should_flush_by_timeout(&self) -> bool {
self.last_flush_time.elapsed().as_millis() >= self.timeout_ms as u128
}
}
use super::ShredStreamGrpc;
impl ShredStreamGrpc {
/// 创建客户端,使用默认配置
pub async fn new(endpoint: String) -> AnyResult<Self> {
Self::new_with_config(endpoint, ShredClientConfig::default()).await
}
/// 创建客户端,使用自定义配置
pub async fn new_with_config(endpoint: String, config: ShredClientConfig) -> AnyResult<Self> {
let shredstream_client = ShredstreamProxyClient::connect(endpoint.clone()).await?;
Ok(Self {
shredstream_client: Arc::new(shredstream_client),
config,
metrics: Arc::new(Mutex::new(ShredPerformanceMetrics::new())),
})
}
/// 创建高性能客户端(适合高并发场景)
pub async fn new_high_performance(endpoint: String) -> AnyResult<Self> {
Self::new_with_config(endpoint, ShredClientConfig::high_performance()).await
}
/// 创建低延迟客户端(适合实时场景)
pub async fn new_low_latency(endpoint: String) -> AnyResult<Self> {
Self::new_with_config(endpoint, ShredClientConfig::low_latency()).await
}
/// 获取当前配置
pub fn get_config(&self) -> &ShredClientConfig {
&self.config
}
/// 更新配置
pub fn update_config(&mut self, config: ShredClientConfig) {
self.config = config;
}
/// 获取性能指标
pub async fn get_metrics(&self) -> ShredPerformanceMetrics {
let metrics = self.metrics.lock().await;
metrics.clone()
}
/// 启用或禁用性能监控
pub fn set_enable_metrics(&mut self, enabled: bool) {
self.config.enable_metrics = enabled;
}
/// 打印性能指标
pub async fn print_metrics(&self) {
let metrics = self.get_metrics().await;
println!("📊 ShredStream Performance Metrics:");
println!(" Events Processed: {}", metrics.events_processed);
println!(" Events/Second: {:.2}", metrics.events_per_second);
println!(" Avg Processing Time: {:.2}ms", metrics.average_processing_time_ms);
println!(" Min Processing Time: {:.2}ms", metrics.min_processing_time_ms);
println!(" Max Processing Time: {:.2}ms", metrics.max_processing_time_ms);
println!("---");
}
/// 启动自动性能监控任务
pub async fn start_auto_metrics_monitoring(&self) {
// 检查是否启用性能监控
if !self.config.enable_metrics {
return; // 如果未启用性能监控,不启动监控任务
}
let grpc_clone = self.clone();
tokio::spawn(async move {
let mut interval = tokio::time::interval(tokio::time::Duration::from_secs(10));
loop {
interval.tick().await;
grpc_clone.print_metrics().await;
}
});
}
/// 更新性能指标
async fn update_metrics(&self, events_processed: u64, processing_time_ms: f64) {
// 检查是否启用性能监控
if !self.config.enable_metrics {
return; // 如果未启用性能监控,直接返回
}
let mut metrics = self.metrics.lock().await;
let now = std::time::Instant::now();
metrics.events_processed += events_processed;
metrics.events_in_window += events_processed;
metrics.last_update_time = now;
// 更新最快和最慢处理时间
if processing_time_ms < metrics.min_processing_time_ms || metrics.min_processing_time_ms == 0.0 {
metrics.min_processing_time_ms = processing_time_ms;
}
if processing_time_ms > metrics.max_processing_time_ms {
metrics.max_processing_time_ms = processing_time_ms;
}
// 计算平均处理时间
if metrics.events_processed > 0 {
metrics.average_processing_time_ms = (metrics.average_processing_time_ms
* (metrics.events_processed - events_processed) as f64
+ processing_time_ms)
/ metrics.events_processed as f64;
}
// 基于时间窗口计算每秒处理事件数(5秒窗口)
let window_duration = std::time::Duration::from_secs(5);
if now.duration_since(metrics.window_start_time) >= window_duration {
let window_seconds = now.duration_since(metrics.window_start_time).as_secs_f64();
if window_seconds > 0.0 && metrics.events_in_window > 0 {
metrics.events_per_second = metrics.events_in_window as f64 / window_seconds;
} else {
// 如果窗口内没有事件,保持之前的速率或设为0
metrics.events_per_second = 0.0;
}
// 重置窗口
metrics.events_in_window = 0;
metrics.window_start_time = now;
} else {
// 如果窗口还没满,不更新 events_per_second,保持之前的计算值
// 这样可以避免因为单次批处理时间波动导致的指标跳跃
}
}
/// 订阅ShredStream事件(支持批处理和即时处理)
pub async fn shredstream_subscribe<F>(
&self,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
event_type_filter: Option<EventTypeFilter>,
callback: F,
) -> AnyResult<()>
where
@@ -337,37 +22,41 @@ impl ShredStreamGrpc {
{
// 启动自动性能监控(如果启用)
if self.config.enable_metrics {
self.start_auto_metrics_monitoring().await;
self.metrics_manager.start_auto_monitoring().await;
}
let request = tonic::Request::new(SubscribeEntriesRequest {});
let mut client = (*self.shredstream_client).clone();
let stream = client.subscribe_entries(request).await?.into_inner();
let (tx, rx) = mpsc::channel::<TransactionWithSlot>(self.config.backpressure.channel_size);
// 启动流处理
let client = (*self.shredstream_client).clone();
let (_stream_task, rx) = ShredStreamHandler::start_stream_processing(
client,
self.config.backpressure.channel_size,
)
.await?;
// 根据配置选择处理模式
if self.config.batch.enabled {
// 批处理模式
self.process_with_batch(stream, tx, rx, protocols, bot_wallet, callback).await
self.process_with_batch(rx, protocols, bot_wallet, event_type_filter, callback).await
} else {
// 即时处理模式
self.process_immediate(stream, tx, rx, protocols, bot_wallet, callback).await
self.process_immediate(rx, protocols, bot_wallet, event_type_filter, callback).await
}
}
/// 批处理模式
async fn process_with_batch<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,
{
use futures::StreamExt;
// 创建批处理器,将单个事件回调转换为批量回调
let batch_callback = move |events: Vec<Box<dyn UnifiedEvent>>| {
for event in events {
@@ -375,47 +64,28 @@ impl ShredStreamGrpc {
}
};
let mut batch_processor = ShredBatchProcessor::new(
let mut batch_processor = EventBatchProcessor::new(
batch_callback,
self.config.batch.batch_size,
self.config.batch.batch_timeout_ms,
);
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;
}
}
}
});
// 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_with_batch(
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(())
}
}