feat: add TraceLayer for HTTP service and improve metrics

- Add TraceLayer to HTTP server for request tracing
- Implement system metrics for process monitoring
- Optimize init_telemetry method for better resource management
- Add graceful shutdown handling for telemetry components
- Fix GracefulShutdown ownership issues with Arc wrapper
This commit is contained in:
houseme
2025-04-24 18:22:59 +08:00
parent 92319f190c
commit ef597fff31
19 changed files with 600 additions and 536 deletions
Generated
-1
View File
@@ -525,7 +525,6 @@ version = "0.4.19"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "06575e6a9673580f52661c92107baabffbf41e2141373441cbcdc47cb733003c"
dependencies = [
"brotli",
"bzip2",
"flate2",
"futures-core",
+1 -1
View File
@@ -25,7 +25,7 @@ batch_timeout_ms = 1000 # Default is 100ms if not specified
[sinks.file]
enabled = true
path = "logs/app.log"
path = "deploy/logs/app.log"
batch_size = 100
batch_timeout_ms = 1000 # Default is 8192 bytes if not specified
+7 -2
View File
@@ -1,8 +1,8 @@
use opentelemetry::global;
use rustfs_obs::{get_logger, init_obs, load_config, log_info, BaseLogEntry, ServerLogEntry};
use rustfs_obs::{get_logger, init_obs, init_process_observer, load_config, log_info, BaseLogEntry, ServerLogEntry};
use std::collections::HashMap;
use std::time::{Duration, SystemTime};
use tracing::{info, instrument};
use tracing::{error, info, instrument};
use tracing_core::Level;
#[tokio::main]
@@ -38,6 +38,11 @@ async fn run(bucket: String, object: String, user: String, service_name: String)
&[opentelemetry::KeyValue::new("operation", "run")],
);
match init_process_observer(meter).await {
Ok(_) => info!("Process observer initialized successfully"),
Err(e) => error!("Failed to initialize process observer: {:?}", e),
}
let base_entry = BaseLogEntry::new()
.message(Some("run logger api_handler info".to_string()))
.request_id(Some("request_id".to_string()))
+14 -11
View File
@@ -23,17 +23,20 @@ pub enum GlobalError {
NotInitialized,
#[error("Global system metrics err: {0}")]
MetricsError(String),
#[error("Failed to get process ID: {0}")]
GetPidError(String),
#[error("Type conversion error: {0}")]
ConversionError(String),
#[error("IO error: {0}")]
IoError(#[from] std::io::Error),
#[error("System metrics error: {0}")]
SystemMetricsError(String),
#[cfg(feature = "gpu")]
#[error("GPU metrics error: {0}")]
GpuMetricsError(String),
#[error("Failed to get current PID: {0}")]
PidError(String),
#[error("Process with PID {0} not found")]
ProcessNotFound(u32),
#[error("Failed to get physical core count")]
CoreCountError,
#[error("GPU initialization failed: {0}")]
GpuInitError(String),
#[error("GPU device not found: {0}")]
GpuDeviceError(String),
#[error("Failed to send log: {0}")]
SendFailed(&'static str),
#[error("Operation timed out: {0}")]
Timeout(&'static str),
}
/// Set the global guard for OpenTelemetry
+27 -13
View File
@@ -32,34 +32,35 @@ mod config;
mod entry;
mod global;
mod logger;
mod metrics;
mod sink;
mod system;
mod telemetry;
mod utils;
mod worker;
#[cfg(feature = "gpu")]
pub use crate::metrics::init_gpu_metrics;
use crate::logger::InitLogStatus;
pub use config::load_config;
pub use config::{AppConfig, OtelConfig};
#[cfg(feature = "file")]
pub use config::FileSinkConfig;
#[cfg(feature = "kafka")]
pub use config::KafkaSinkConfig;
#[cfg(feature = "webhook")]
pub use config::WebhookSinkConfig;
pub use config::{AppConfig, LoggerConfig, OtelConfig, SinkConfig};
pub use entry::args::Args;
pub use entry::audit::{ApiDetails, AuditLogEntry};
pub use entry::base::BaseLogEntry;
pub use entry::unified::{ConsoleLogEntry, ServerLogEntry, UnifiedLogEntry};
pub use entry::{LogKind, LogRecord, ObjectVersion, SerializableLevel};
pub use global::{get_global_guard, set_global_guard, try_get_global_guard, GlobalError};
pub use logger::{ensure_logger_initialized, log_debug, log_error, log_info, log_trace, log_warn, log_with_context};
pub use logger::{get_global_logger, init_global_logger, locked_logger, start_logger};
pub use logger::{log_init_state, InitLogStatus};
pub use logger::{LogError, Logger};
pub use metrics::{init_system_metrics, init_system_metrics_for_pid};
pub use sink::Sink;
pub use logger::Logger;
pub use logger::{get_global_logger, init_global_logger, start_logger};
pub use logger::{log_debug, log_error, log_info, log_trace, log_warn, log_with_context};
use std::sync::Arc;
pub use system::{init_process_observer, init_process_observer_for_pid};
pub use telemetry::init_telemetry;
use tokio::sync::Mutex;
pub use utils::{get_local_ip, get_local_ip_with_default};
pub use worker::start_worker;
use tracing::{error, info};
/// Initialize the observability module
///
@@ -80,6 +81,19 @@ pub async fn init_obs(config: AppConfig) -> (Arc<Mutex<Logger>>, telemetry::Otel
let guard = init_telemetry(&config.observability);
let sinks = sink::create_sinks(&config).await;
let logger = init_global_logger(&config, sinks).await;
let obs_config = config.observability.clone();
tokio::spawn(async move {
let result = InitLogStatus::init_start_log(&obs_config).await;
match result {
Ok(_) => {
info!("Logger initialized successfully");
}
Err(e) => {
error!("Failed to initialize logger: {}", e);
}
}
});
(logger, guard)
}
+21 -81
View File
@@ -1,5 +1,6 @@
use crate::global::{ENVIRONMENT, SERVICE_NAME, SERVICE_VERSION};
use crate::{AppConfig, AuditLogEntry, BaseLogEntry, ConsoleLogEntry, OtelConfig, ServerLogEntry, Sink, UnifiedLogEntry};
use crate::sink::Sink;
use crate::{AppConfig, AuditLogEntry, BaseLogEntry, ConsoleLogEntry, GlobalError, OtelConfig, ServerLogEntry, UnifiedLogEntry};
use std::sync::Arc;
use std::time::SystemTime;
use tokio::sync::mpsc::{self, Receiver, Sender};
@@ -43,26 +44,26 @@ impl Logger {
/// Log a server entry
#[tracing::instrument(skip(self), fields(log_source = "logger_server"))]
pub async fn log_server_entry(&self, entry: ServerLogEntry) -> Result<(), LogError> {
pub async fn log_server_entry(&self, entry: ServerLogEntry) -> Result<(), GlobalError> {
self.log_entry(UnifiedLogEntry::Server(entry)).await
}
/// Log an audit entry
#[tracing::instrument(skip(self), fields(log_source = "logger_audit"))]
pub async fn log_audit_entry(&self, entry: AuditLogEntry) -> Result<(), LogError> {
pub async fn log_audit_entry(&self, entry: AuditLogEntry) -> Result<(), GlobalError> {
self.log_entry(UnifiedLogEntry::Audit(Box::new(entry))).await
}
/// Log a console entry
#[tracing::instrument(skip(self), fields(log_source = "logger_console"))]
pub async fn log_console_entry(&self, entry: ConsoleLogEntry) -> Result<(), LogError> {
pub async fn log_console_entry(&self, entry: ConsoleLogEntry) -> Result<(), GlobalError> {
self.log_entry(UnifiedLogEntry::Console(entry)).await
}
/// Asynchronous logging of unified log entries
#[tracing::instrument(skip(self), fields(log_source = "logger"))]
#[tracing::instrument(level = "error", skip_all)]
pub async fn log_entry(&self, entry: UnifiedLogEntry) -> Result<(), LogError> {
pub async fn log_entry(&self, entry: UnifiedLogEntry) -> Result<(), GlobalError> {
// Extract information for tracing based on entry type
match &entry {
UnifiedLogEntry::Server(server) => {
@@ -123,11 +124,11 @@ impl Logger {
tracing::warn!("Log queue full, applying backpressure");
match tokio::time::timeout(std::time::Duration::from_millis(500), self.sender.send(entry)).await {
Ok(Ok(_)) => Ok(()),
Ok(Err(_)) => Err(LogError::SendFailed("Channel closed")),
Err(_) => Err(LogError::Timeout("Queue backpressure timeout")),
Ok(Err(_)) => Err(GlobalError::SendFailed("Channel closed")),
Err(_) => Err(GlobalError::Timeout("Queue backpressure timeout")),
}
}
Err(mpsc::error::TrySendError::Closed(_)) => Err(LogError::SendFailed("Logger channel closed")),
Err(mpsc::error::TrySendError::Closed(_)) => Err(GlobalError::SendFailed("Logger channel closed")),
}
}
@@ -160,7 +161,7 @@ impl Logger {
request_id: Option<String>,
user_id: Option<String>,
fields: Vec<(String, String)>,
) -> Result<(), LogError> {
) -> Result<(), GlobalError> {
let base = BaseLogEntry::new().message(Some(message.to_string())).request_id(request_id);
let server_entry = ServerLogEntry::new(level, source.to_string())
@@ -190,7 +191,7 @@ impl Logger {
/// let _ = logger.write("This is an information message", "example", Level::INFO).await;
/// }
/// ```
pub async fn write(&self, message: &str, source: &str, level: Level) -> Result<(), LogError> {
pub async fn write(&self, message: &str, source: &str, level: Level) -> Result<(), GlobalError> {
self.write_with_context(message, source, level, None, None, Vec::new()).await
}
@@ -208,31 +209,12 @@ impl Logger {
/// let _ = logger.shutdown().await;
/// }
/// ```
pub async fn shutdown(self) -> Result<(), LogError> {
pub async fn shutdown(self) -> Result<(), GlobalError> {
drop(self.sender); //Close the sending end so that the receiver knows that there is no new message
Ok(())
}
}
/// Log error type
/// This enum defines the error types that can occur when logging.
/// It is used to provide more detailed error information.
/// # Example
/// ```
/// use rustfs_obs::LogError;
/// use thiserror::Error;
///
/// LogError::SendFailed("Failed to send log");
/// LogError::Timeout("Operation timed out");
/// ```
#[derive(Debug, thiserror::Error)]
pub enum LogError {
#[error("Failed to send log: {0}")]
SendFailed(&'static str),
#[error("Operation timed out: {0}")]
Timeout(&'static str),
}
/// Start the log module
/// This function starts the log module.
/// It initializes the logger and starts the worker to process logs.
@@ -297,48 +279,6 @@ pub fn get_global_logger() -> &'static Arc<Mutex<Logger>> {
GLOBAL_LOGGER.get().expect("Logger not initialized")
}
/// Get the global logger instance with a lock
/// This function returns a reference to the global logger instance with a lock.
/// It is used to ensure that the logger is thread-safe.
///
/// # Returns
/// A reference to the global logger instance with a lock
///
/// # Example
/// ```
/// use rustfs_obs::locked_logger;
///
/// async fn example() {
/// let logger = locked_logger().await;
/// }
/// ```
pub async fn locked_logger() -> tokio::sync::MutexGuard<'static, Logger> {
get_global_logger().lock().await
}
/// Initialize with default empty logger if needed (optional)
/// This function initializes the logger with a default empty logger if needed.
/// It is used to ensure that the logger is initialized before logging.
///
/// # Returns
/// A reference to the global logger instance
///
/// # Example
/// ```
/// use rustfs_obs::ensure_logger_initialized;
///
/// let logger = ensure_logger_initialized();
/// ```
pub fn ensure_logger_initialized() -> &'static Arc<Mutex<Logger>> {
if GLOBAL_LOGGER.get().is_none() {
let config = AppConfig::default();
let sinks = vec![];
let logger = Arc::new(Mutex::new(start_logger(&config, sinks)));
let _ = GLOBAL_LOGGER.set(logger);
}
GLOBAL_LOGGER.get().unwrap()
}
/// Log information
/// This function logs information messages.
///
@@ -357,7 +297,7 @@ pub fn ensure_logger_initialized() -> &'static Arc<Mutex<Logger>> {
/// let _ = log_info("This is an information message", "example").await;
/// }
/// ```
pub async fn log_info(message: &str, source: &str) -> Result<(), LogError> {
pub async fn log_info(message: &str, source: &str) -> Result<(), GlobalError> {
get_global_logger().lock().await.write(message, source, Level::INFO).await
}
@@ -375,7 +315,7 @@ pub async fn log_info(message: &str, source: &str) -> Result<(), LogError> {
/// async fn example() {
/// let _ = log_error("This is an error message", "example").await;
/// }
pub async fn log_error(message: &str, source: &str) -> Result<(), LogError> {
pub async fn log_error(message: &str, source: &str) -> Result<(), GlobalError> {
get_global_logger().lock().await.write(message, source, Level::ERROR).await
}
@@ -395,7 +335,7 @@ pub async fn log_error(message: &str, source: &str) -> Result<(), LogError> {
/// let _ = log_warn("This is a warning message", "example").await;
/// }
/// ```
pub async fn log_warn(message: &str, source: &str) -> Result<(), LogError> {
pub async fn log_warn(message: &str, source: &str) -> Result<(), GlobalError> {
get_global_logger().lock().await.write(message, source, Level::WARN).await
}
@@ -415,7 +355,7 @@ pub async fn log_warn(message: &str, source: &str) -> Result<(), LogError> {
/// let _ = log_debug("This is a debug message", "example").await;
/// }
/// ```
pub async fn log_debug(message: &str, source: &str) -> Result<(), LogError> {
pub async fn log_debug(message: &str, source: &str) -> Result<(), GlobalError> {
get_global_logger().lock().await.write(message, source, Level::DEBUG).await
}
@@ -436,7 +376,7 @@ pub async fn log_debug(message: &str, source: &str) -> Result<(), LogError> {
/// let _ = log_trace("This is a trace message", "example").await;
/// }
/// ```
pub async fn log_trace(message: &str, source: &str) -> Result<(), LogError> {
pub async fn log_trace(message: &str, source: &str) -> Result<(), GlobalError> {
get_global_logger().lock().await.write(message, source, Level::TRACE).await
}
@@ -467,7 +407,7 @@ pub async fn log_with_context(
request_id: Option<String>,
user_id: Option<String>,
fields: Vec<(String, String)>,
) -> Result<(), LogError> {
) -> Result<(), GlobalError> {
get_global_logger()
.lock()
.await
@@ -477,7 +417,7 @@ pub async fn log_with_context(
/// Log initialization status
#[derive(Debug)]
pub struct InitLogStatus {
pub(crate) struct InitLogStatus {
pub timestamp: SystemTime,
pub service_name: String,
pub version: String,
@@ -508,14 +448,14 @@ impl InitLogStatus {
}
}
pub async fn init_start_log(config: &OtelConfig) -> Result<(), LogError> {
pub async fn init_start_log(config: &OtelConfig) -> Result<(), GlobalError> {
let status = Self::new_config(config);
log_init_state(Some(status)).await
}
}
/// Log initialization details during system startup
pub async fn log_init_state(status: Option<InitLogStatus>) -> Result<(), LogError> {
async fn log_init_state(status: Option<InitLogStatus>) -> Result<(), GlobalError> {
let status = status.unwrap_or_default();
let base_entry = BaseLogEntry::new()
-394
View File
@@ -1,394 +0,0 @@
//! # Metrics
//! This file is part of the RustFS project
//! Current metrics observed are:
//! - CPU
//! - Memory
//! - Disk
//! - Network
//!
//! # Getting started
//!
//! ```
//! use opentelemetry::global;
//! use rustfs_obs::init_system_metrics;
//!
//! #[tokio::main]
//! async fn main() {
//! let meter = global::meter("rustfs-system-meter");
//! let result = init_system_metrics(meter);
//! }
//! ```
//!
use crate::GlobalError;
#[cfg(feature = "gpu")]
use nvml_wrapper::enums::device::UsedGpuMemory;
#[cfg(feature = "gpu")]
use nvml_wrapper::Nvml;
use opentelemetry::metrics::Meter;
use opentelemetry::Key;
use opentelemetry::KeyValue;
use std::time::Duration;
use sysinfo::{get_current_pid, System};
use tokio::time::sleep;
use tracing::warn;
const PROCESS_PID: Key = Key::from_static_str("process.pid");
const PROCESS_EXECUTABLE_NAME: Key = Key::from_static_str("process.executable.name");
const PROCESS_EXECUTABLE_PATH: Key = Key::from_static_str("process.executable.path");
const PROCESS_COMMAND: Key = Key::from_static_str("process.command");
const PROCESS_CPU_USAGE: &str = "process.cpu.usage";
const PROCESS_CPU_UTILIZATION: &str = "process.cpu.utilization";
const PROCESS_MEMORY_USAGE: &str = "process.memory.usage";
const PROCESS_MEMORY_VIRTUAL: &str = "process.memory.virtual";
const PROCESS_DISK_IO: &str = "process.disk.io";
const DIRECTION: Key = Key::from_static_str("direction");
const PROCESS_GPU_MEMORY_USAGE: &str = "process.gpu.memory.usage";
// add static variables that delay initialize nvml
#[cfg(feature = "gpu")]
static NVML_INSTANCE: OnceCell<Arc<Mutex<Option<Result<Nvml, nvml_wrapper::error::NvmlError>>>>> = OnceCell::const_new();
// get or initialize an nvml instance
#[cfg(feature = "gpu")]
async fn get_or_init_nvml() -> &'static Arc<Mutex<Option<Result<Nvml, nvml_wrapper::error::NvmlError>>>> {
NVML_INSTANCE
.get_or_init(|| async { Arc::new(Mutex::new(Some(Nvml::init()))) })
.await
}
/// Record asynchronously information about the current process.
/// This function is useful for monitoring the current process.
///
/// # Arguments
/// * `meter` - The OpenTelemetry meter to use.
///
/// # Returns
/// * `Ok(())` if successful
/// * `Err(GlobalError)` if an error occurs
///
/// # Example
/// ```
/// use opentelemetry::global;
/// use rustfs_obs::init_system_metrics;
///
/// #[tokio::main]
/// async fn main() {
/// let meter = global::meter("rustfs-system-meter");
/// let result = init_system_metrics(meter);
/// }
/// ```
pub async fn init_system_metrics(meter: Meter) -> Result<(), GlobalError> {
let pid = get_current_pid().map_err(|err| GlobalError::MetricsError(err.to_string()))?;
register_system_metrics(meter, pid).await
}
/// Record asynchronously information about a specific process by its PID.
/// This function is useful for monitoring processes other than the current one.
///
/// # Arguments
/// * `meter` - The OpenTelemetry meter to use.
/// * `pid` - The PID of the process to monitor.
///
/// # Returns
/// * `Ok(())` if successful
/// * `Err(GlobalError)` if an error occurs
///
/// # Example
/// ```
/// use opentelemetry::global;
/// use rustfs_obs::init_system_metrics_for_pid;
///
/// #[tokio::main]
/// async fn main() {
/// let meter = global::meter("rustfs-system-meter");
/// // replace with the actual PID
/// let pid = 1234;
/// let result = init_system_metrics_for_pid(meter, pid).await;
/// }
/// ```
///
pub async fn init_system_metrics_for_pid(meter: Meter, pid: u32) -> Result<(), GlobalError> {
let pid = sysinfo::Pid::from_u32(pid);
register_system_metrics(meter, pid).await
}
/// Register system metrics for the current process.
/// This function is useful for monitoring the current process.
///
/// # Arguments
/// * `meter` - The OpenTelemetry meter to use.
/// * `pid` - The PID of the process to monitor.
///
/// # Returns
/// * `Ok(())` if successful
/// * `Err(GlobalError)` if an error occurs
///
async fn register_system_metrics(meter: Meter, pid: sysinfo::Pid) -> Result<(), GlobalError> {
// cache core counts to avoid repeated calculations
let core_count = System::physical_core_count()
.ok_or_else(|| GlobalError::SystemMetricsError("Could not get physical core count".to_string()))?;
let core_count_f32 = core_count as f32;
// create metric meter
let (
process_cpu_utilization,
process_cpu_usage,
process_memory_usage,
process_memory_virtual,
process_disk_io,
process_gpu_memory_usage,
) = create_metrics(&meter);
// initialize system object
let mut sys = System::new_all();
sys.refresh_all();
// Prepare public properties to avoid repeated construction in loops
let common_attributes = prepare_common_attributes(&sys, pid)?;
// get the metric export interval
let interval = get_export_interval();
// Use asynchronous tasks to process CPU, memory, and disk metrics to avoid blocking the main asynchronous tasks
let cpu_mem_task = tokio::spawn(async move {
loop {
sleep(Duration::from_millis(interval)).await;
if let Err(e) = update_process_metrics(
&mut sys,
pid,
&process_cpu_usage,
&process_cpu_utilization,
&process_memory_usage,
&process_memory_virtual,
&process_disk_io,
&common_attributes,
core_count_f32,
) {
warn!("Failed to update process metrics: {}", e);
}
}
});
// Use another asynchronous task to handle GPU metrics
#[cfg(feature = "gpu")]
let gpu_task = tokio::spawn(async move {
loop {
sleep(Duration::from_millis(interval)).await;
// delayed initialization nvml
let nvml_arc = get_or_init_nvml().await;
let nvml_option = nvml_arc.lock().unwrap();
if let Err(e) = update_gpu_metrics(&nvml, pid, &process_gpu_memory_usage, &common_attributes) {
warn!("Failed to update GPU metrics: {}", e);
}
}
});
// record empty values when non gpu function
#[cfg(not(feature = "gpu"))]
let gpu_task = tokio::spawn(async move {
loop {
sleep(Duration::from_millis(interval)).await;
process_gpu_memory_usage.record(0, &common_attributes);
}
});
// Wait for the two tasks to complete (actually they will run forever)
let _ = tokio::join!(cpu_mem_task, gpu_task);
Ok(())
}
fn create_metrics(meter: &Meter) -> (F64Gauge, F64Gauge, I64Gauge, I64Gauge, I64Gauge, U64Gauge) {
let process_cpu_utilization = meter
.f64_gauge(PROCESS_CPU_USAGE)
.with_description("The percentage of CPU in use.")
.with_unit("percent")
.build();
let process_cpu_usage = meter
.f64_gauge(PROCESS_CPU_UTILIZATION)
.with_description("The amount of CPU in use.")
.with_unit("percent")
.build();
let process_memory_usage = meter
.i64_gauge(PROCESS_MEMORY_USAGE)
.with_description("The amount of physical memory in use.")
.with_unit("byte")
.build();
let process_memory_virtual = meter
.i64_gauge(PROCESS_MEMORY_VIRTUAL)
.with_description("The amount of committed virtual memory.")
.with_unit("byte")
.build();
let process_disk_io = meter
.i64_gauge(PROCESS_DISK_IO)
.with_description("Disk bytes transferred.")
.with_unit("byte")
.build();
let process_gpu_memory_usage = meter
.u64_gauge(PROCESS_GPU_MEMORY_USAGE)
.with_description("The amount of physical GPU memory in use.")
.with_unit("byte")
.build();
(
process_cpu_utilization,
process_cpu_usage,
process_memory_usage,
process_memory_virtual,
process_disk_io,
process_gpu_memory_usage,
)
}
fn prepare_common_attributes(sys: &System, pid: sysinfo::Pid) -> Result<[KeyValue; 4], GlobalError> {
let process = sys
.process(pid)
.ok_or_else(|| GlobalError::SystemMetricsError(format!("Process with PID {} not found", pid.as_u32())))?;
// optimize string operations and reduce allocation
let cmd = process.cmd().iter().filter_map(|s| s.to_str()).collect::<Vec<_>>().join(" ");
let executable_path = process
.exe()
.map(|path| path.to_string_lossy().into_owned())
.unwrap_or_default();
let name = process.name().to_os_string().into_string().unwrap_or_default();
Ok([
KeyValue::new(PROCESS_PID, pid.as_u32() as i64),
KeyValue::new(PROCESS_EXECUTABLE_NAME, name),
KeyValue::new(PROCESS_EXECUTABLE_PATH, executable_path),
KeyValue::new(PROCESS_COMMAND, cmd),
])
}
fn get_export_interval() -> u64 {
std::env::var("OTEL_METRIC_EXPORT_INTERVAL")
.ok()
.and_then(|s| s.parse().ok())
.unwrap_or(30000)
}
fn update_process_metrics(
sys: &mut System,
pid: sysinfo::Pid,
process_cpu_usage: &F64Gauge,
process_cpu_utilization: &F64Gauge,
process_memory_usage: &I64Gauge,
process_memory_virtual: &I64Gauge,
process_disk_io: &I64Gauge,
common_attributes: &[KeyValue; 4],
core_count: f32,
) -> Result<(), GlobalError> {
// Only refresh the data of the required process to reduce system call overhead
sys.refresh_processes(sysinfo::ProcessesToUpdate::Some(&[pid]), true);
let process = match sys.process(pid) {
Some(p) => p,
None => {
return Err(GlobalError::SystemMetricsError(format!(
"Process with PID {} no longer exists",
pid.as_u32()
)))
}
};
// collect data in batches and record it again
let cpu_usage = process.cpu_usage();
process_cpu_usage.record(cpu_usage.into(), &[]);
process_cpu_utilization.record((cpu_usage / core_count).into(), &common_attributes);
// safe type conversion
let memory = process.memory();
let virtual_memory = process.virtual_memory();
// Avoid multiple error checks and use .map_err to handle errors in chain
let memory_i64 =
i64::try_from(memory).map_err(|_| GlobalError::ConversionError("Failed to convert memory usage to i64".to_string()))?;
let virtual_memory_i64 = i64::try_from(virtual_memory)
.map_err(|_| GlobalError::ConversionError("Failed to convert virtual memory to i64".to_string()))?;
process_memory_usage.record(memory_i64, common_attributes);
process_memory_virtual.record(virtual_memory_i64, common_attributes);
// process disk io metrics
let disk_io = process.disk_usage();
// batch conversion to reduce duplicate code
let read_bytes_i64 = i64::try_from(disk_io.read_bytes)
.map_err(|_| GlobalError::ConversionError("Failed to convert read bytes to i64".to_string()))?;
let written_bytes_i64 = i64::try_from(disk_io.written_bytes)
.map_err(|_| GlobalError::ConversionError("Failed to convert written bytes to i64".to_string()))?;
// Optimize attribute array stitching to reduce heap allocation
let mut read_attributes = [KeyValue::new(DIRECTION, "read")];
let read_attrs = [common_attributes, &read_attributes].concat();
let mut write_attributes = [KeyValue::new(DIRECTION, "write")];
let write_attrs = [common_attributes, &write_attributes].concat();
process_disk_io.record(read_bytes_i64, &read_attrs);
process_disk_io.record(written_bytes_i64, &write_attrs);
Ok(())
}
// GPU metric update function, conditional compilation based on feature flags
#[cfg(feature = "gpu")]
fn update_gpu_metrics(
nvml: &Result<Nvml, nvml_wrapper::error::NvmlError>,
pid: sysinfo::Pid,
process_gpu_memory_usage: &U64Gauge,
common_attributes: &[KeyValue; 4],
) -> Result<(), GlobalError> {
match nvml {
Ok(nvml) => {
if let Ok(device) = nvml.device_by_index(0) {
if let Ok(gpu_stats) = device.running_compute_processes() {
for stat in gpu_stats.iter() {
if stat.pid == pid.as_u32() {
let memory_used = match stat.used_gpu_memory {
UsedGpuMemory::Used(bytes) => bytes,
UsedGpuMemory::Unavailable => 0,
};
process_gpu_memory_usage.record(memory_used, common_attributes);
return Ok(());
}
}
}
}
// If no GPU usage record of the process is found, the record is 0
process_gpu_memory_usage.record(0, common_attributes);
Ok(())
}
Err(e) => {
warn!("Could not get NVML, recording 0 for GPU memory usage: {}", e);
process_gpu_memory_usage.record(0, common_attributes);
Ok(())
}
}
}
#[cfg(not(feature = "gpu"))]
fn update_gpu_metrics(
_: &(), // blank placeholder parameters
_: sysinfo::Pid,
process_gpu_memory_usage: &U64Gauge,
common_attributes: &[KeyValue; 4],
) -> Result<(), GlobalError> {
// always logged when non gpu function 0
process_gpu_memory_usage.record(0, common_attributes);
Ok(())
}
+44
View File
@@ -0,0 +1,44 @@
use crate::GlobalError;
use opentelemetry::KeyValue;
use sysinfo::{Pid, System};
pub const PROCESS_PID: opentelemetry::Key = opentelemetry::Key::from_static_str("process.pid");
pub const PROCESS_EXECUTABLE_NAME: opentelemetry::Key = opentelemetry::Key::from_static_str("process.executable.name");
pub const PROCESS_EXECUTABLE_PATH: opentelemetry::Key = opentelemetry::Key::from_static_str("process.executable.path");
pub const PROCESS_COMMAND: opentelemetry::Key = opentelemetry::Key::from_static_str("process.command");
/// Struct to hold process attributes
pub struct ProcessAttributes {
pub attributes: Vec<KeyValue>,
}
impl ProcessAttributes {
/// Creates a new instance of `ProcessAttributes` for the given PID.
pub fn new(pid: Pid, system: &mut System) -> Result<Self, GlobalError> {
system.refresh_processes(sysinfo::ProcessesToUpdate::Some(&[pid]), true);
let process = system
.process(pid)
.ok_or_else(|| GlobalError::ProcessNotFound(pid.as_u32()))?;
let attributes = vec![
KeyValue::new(PROCESS_PID, pid.as_u32() as i64),
KeyValue::new(PROCESS_EXECUTABLE_NAME, process.name().to_os_string().into_string().unwrap_or_default()),
KeyValue::new(
PROCESS_EXECUTABLE_PATH,
process
.exe()
.map(|path| path.to_string_lossy().into_owned())
.unwrap_or_default(),
),
KeyValue::new(
PROCESS_COMMAND,
process
.cmd()
.iter()
.fold(String::new(), |t1, t2| t1 + " " + t2.to_str().unwrap_or_default()),
),
];
Ok(ProcessAttributes { attributes })
}
}
+156
View File
@@ -0,0 +1,156 @@
use crate::system::attributes::ProcessAttributes;
use crate::system::gpu::GpuCollector;
use crate::system::metrics::{Metrics, DIRECTION, INTERFACE, STATUS};
use crate::GlobalError;
use opentelemetry::KeyValue;
use std::time::SystemTime;
use sysinfo::{Networks, Pid, ProcessStatus, System};
use tokio::time::{sleep, Duration};
/// Collector is responsible for collecting system metrics and attributes.
/// It uses the sysinfo crate to gather information about the system and processes.
/// It also uses OpenTelemetry to record metrics.
pub struct Collector {
metrics: Metrics,
attributes: ProcessAttributes,
gpu_collector: GpuCollector,
pid: Pid,
system: System,
networks: Networks,
core_count: usize,
interval_ms: u64,
}
impl Collector {
pub fn new(pid: Pid, meter: opentelemetry::metrics::Meter, interval_ms: u64) -> Result<Self, GlobalError> {
let mut system = System::new_all();
let attributes = ProcessAttributes::new(pid, &mut system)?;
let core_count = System::physical_core_count().ok_or(GlobalError::CoreCountError)?;
let metrics = Metrics::new(&meter);
let gpu_collector = GpuCollector::new(pid)?;
let networks = Networks::new_with_refreshed_list();
Ok(Collector {
metrics,
attributes,
gpu_collector,
pid,
system,
networks,
core_count,
interval_ms,
})
}
pub async fn run(&mut self) -> Result<(), GlobalError> {
loop {
self.collect()?;
tracing::debug!("Collected metrics for PID: {} ,time: {:?}", self.pid, SystemTime::now());
sleep(Duration::from_millis(self.interval_ms)).await;
}
}
fn collect(&mut self) -> Result<(), GlobalError> {
self.system
.refresh_processes(sysinfo::ProcessesToUpdate::Some(&[self.pid]), true);
// 刷新网络接口列表和统计数据
self.networks.refresh(false); // 刷新网络统计数据
let process = self
.system
.process(self.pid)
.ok_or_else(|| GlobalError::ProcessNotFound(self.pid.as_u32()))?;
// CPU 指标
let cpu_usage = process.cpu_usage();
self.metrics.cpu_usage.record(cpu_usage as f64, &[]);
self.metrics
.cpu_utilization
.record((cpu_usage / self.core_count as f32) as f64, &self.attributes.attributes);
// 内存指标
self.metrics
.memory_usage
.record(process.memory() as i64, &self.attributes.attributes);
self.metrics
.memory_virtual
.record(process.virtual_memory() as i64, &self.attributes.attributes);
// 磁盘I/O指标
let disk_io = process.disk_usage();
self.metrics.disk_io.record(
disk_io.read_bytes as i64,
&[&self.attributes.attributes[..], &[KeyValue::new(DIRECTION, "read")]].concat(),
);
self.metrics.disk_io.record(
disk_io.written_bytes as i64,
&[&self.attributes.attributes[..], &[KeyValue::new(DIRECTION, "write")]].concat(),
);
// 网络I/O指标(对应 /system/network/internode
let mut total_received: i64 = 0;
let mut total_transmitted: i64 = 0;
// 按接口统计
for (interface_name, data) in self.networks.iter() {
total_received += data.total_received() as i64;
total_transmitted += data.total_transmitted() as i64;
let received = data.received() as i64;
let transmitted = data.transmitted() as i64;
self.metrics.network_io_per_interface.record(
received,
&[
&self.attributes.attributes[..],
&[
KeyValue::new(INTERFACE, interface_name.to_string()),
KeyValue::new(DIRECTION, "received"),
],
]
.concat(),
);
self.metrics.network_io_per_interface.record(
transmitted,
&[
&self.attributes.attributes[..],
&[
KeyValue::new(INTERFACE, interface_name.to_string()),
KeyValue::new(DIRECTION, "transmitted"),
],
]
.concat(),
);
}
// 全局统计
self.metrics.network_io.record(
total_received,
&[&self.attributes.attributes[..], &[KeyValue::new(DIRECTION, "received")]].concat(),
);
self.metrics.network_io.record(
total_transmitted,
&[&self.attributes.attributes[..], &[KeyValue::new(DIRECTION, "transmitted")]].concat(),
);
// 进程状态指标(对应 /system/process
let status_value = match process.status() {
ProcessStatus::Run => 0,
ProcessStatus::Sleep => 1,
ProcessStatus::Zombie => 2,
_ => 3, // 其他状态
};
self.metrics.process_status.record(
status_value,
&[
&self.attributes.attributes[..],
&[KeyValue::new(STATUS, format!("{:?}", process.status()))],
]
.concat(),
);
// GPU 指标(可选)
self.gpu_collector.collect(&self.metrics, &self.attributes)?;
Ok(())
}
}
+70
View File
@@ -0,0 +1,70 @@
#[cfg(feature = "gpu")]
use crate::system::attributes::ProcessAttributes;
#[cfg(feature = "gpu")]
use crate::system::metrics::Metrics;
#[cfg(feature = "gpu")]
use crate::GlobalError;
#[cfg(feature = "gpu")]
use nvml_wrapper::enums::device::UsedGpuMemory;
#[cfg(feature = "gpu")]
use nvml_wrapper::Nvml;
#[cfg(feature = "gpu")]
use sysinfo::Pid;
#[cfg(feature = "gpu")]
use tracing::warn;
/// `GpuCollector` is responsible for collecting GPU memory usage metrics.
#[cfg(feature = "gpu")]
pub struct GpuCollector {
nvml: Nvml,
pid: Pid,
}
#[cfg(feature = "gpu")]
impl GpuCollector {
pub fn new(pid: Pid) -> Result<Self, GlobalError> {
let nvml = Nvml::init().map_err(|e| GlobalError::GpuInitError(e.to_string()))?;
Ok(GpuCollector { nvml, pid })
}
pub fn collect(&self, metrics: &Metrics, attributes: &ProcessAttributes) -> Result<(), GlobalError> {
if let Ok(device) = self.nvml.device_by_index(0) {
if let Ok(gpu_stats) = device.running_compute_processes() {
for stat in gpu_stats.iter() {
if stat.pid == self.pid.as_u32() {
let memory_used = match stat.used_gpu_memory {
UsedGpuMemory::Used(bytes) => bytes,
UsedGpuMemory::Unavailable => 0,
};
metrics.gpu_memory_usage.record(memory_used, &attributes.attributes);
return Ok(());
}
}
} else {
warn!("Could not get GPU stats, recording 0 for GPU memory usage");
}
} else {
return Err(GlobalError::GpuDeviceError("No GPU device found".to_string()));
}
metrics.gpu_memory_usage.record(0, &attributes.attributes);
Ok(())
}
}
#[cfg(not(feature = "gpu"))]
pub struct GpuCollector;
#[cfg(not(feature = "gpu"))]
impl GpuCollector {
pub fn new(_pid: sysinfo::Pid) -> Result<Self, crate::GlobalError> {
Ok(GpuCollector)
}
pub fn collect(
&self,
_metrics: &crate::system::metrics::Metrics,
_attributes: &crate::system::attributes::ProcessAttributes,
) -> Result<(), crate::GlobalError> {
Ok(())
}
}
+100
View File
@@ -0,0 +1,100 @@
pub const PROCESS_CPU_USAGE: &str = "process.cpu.usage";
pub const PROCESS_CPU_UTILIZATION: &str = "process.cpu.utilization";
pub const PROCESS_MEMORY_USAGE: &str = "process.memory.usage";
pub const PROCESS_MEMORY_VIRTUAL: &str = "process.memory.virtual";
pub const PROCESS_DISK_IO: &str = "process.disk.io";
pub const PROCESS_NETWORK_IO: &str = "process.network.io";
pub const PROCESS_NETWORK_IO_PER_INTERFACE: &str = "process.network.io.per_interface";
pub const PROCESS_STATUS: &str = "process.status";
#[cfg(feature = "gpu")]
pub const PROCESS_GPU_MEMORY_USAGE: &str = "process.gpu.memory.usage";
pub const DIRECTION: opentelemetry::Key = opentelemetry::Key::from_static_str("direction");
pub const STATUS: opentelemetry::Key = opentelemetry::Key::from_static_str("status");
pub const INTERFACE: opentelemetry::Key = opentelemetry::Key::from_static_str("interface");
/// `Metrics` struct holds the OpenTelemetry metrics for process monitoring.
/// It contains various metrics such as CPU usage, memory usage,
/// disk I/O, network I/O, and process status.
///
/// The `Metrics` struct is designed to be used with OpenTelemetry's
/// metrics API to record and export these metrics.
///
/// The `new` method initializes the metrics using the provided
/// `opentelemetry::metrics::Meter`.
pub struct Metrics {
pub cpu_usage: opentelemetry::metrics::Gauge<f64>,
pub cpu_utilization: opentelemetry::metrics::Gauge<f64>,
pub memory_usage: opentelemetry::metrics::Gauge<i64>,
pub memory_virtual: opentelemetry::metrics::Gauge<i64>,
pub disk_io: opentelemetry::metrics::Gauge<i64>,
pub network_io: opentelemetry::metrics::Gauge<i64>,
pub network_io_per_interface: opentelemetry::metrics::Gauge<i64>,
pub process_status: opentelemetry::metrics::Gauge<i64>,
#[cfg(feature = "gpu")]
pub gpu_memory_usage: opentelemetry::metrics::Gauge<u64>,
}
impl Metrics {
pub fn new(meter: &opentelemetry::metrics::Meter) -> Self {
let cpu_usage = meter
.f64_gauge(PROCESS_CPU_USAGE)
.with_description("The percentage of CPU in use.")
.with_unit("percent")
.build();
let cpu_utilization = meter
.f64_gauge(PROCESS_CPU_UTILIZATION)
.with_description("The amount of CPU in use.")
.with_unit("percent")
.build();
let memory_usage = meter
.i64_gauge(PROCESS_MEMORY_USAGE)
.with_description("The amount of physical memory in use.")
.with_unit("byte")
.build();
let memory_virtual = meter
.i64_gauge(PROCESS_MEMORY_VIRTUAL)
.with_description("The amount of committed virtual memory.")
.with_unit("byte")
.build();
let disk_io = meter
.i64_gauge(PROCESS_DISK_IO)
.with_description("Disk bytes transferred.")
.with_unit("byte")
.build();
let network_io = meter
.i64_gauge(PROCESS_NETWORK_IO)
.with_description("Network bytes transferred.")
.with_unit("byte")
.build();
let network_io_per_interface = meter
.i64_gauge(PROCESS_NETWORK_IO_PER_INTERFACE)
.with_description("Network bytes transferred (per interface).")
.with_unit("byte")
.build();
let process_status = meter
.i64_gauge(PROCESS_STATUS)
.with_description("Process status (0: Running, 1: Sleeping, 2: Zombie, etc.)")
.build();
#[cfg(feature = "gpu")]
let gpu_memory_usage = meter
.u64_gauge(PROCESS_GPU_MEMORY_USAGE)
.with_description("The amount of physical GPU memory in use.")
.with_unit("byte")
.build();
Metrics {
cpu_usage,
cpu_utilization,
memory_usage,
memory_virtual,
disk_io,
network_io,
network_io_per_interface,
process_status,
#[cfg(feature = "gpu")]
gpu_memory_usage,
}
}
}
+24
View File
@@ -0,0 +1,24 @@
use crate::GlobalError;
pub(crate) mod attributes;
mod collector;
pub(crate) mod gpu;
pub(crate) mod metrics;
/// Initialize the indicator collector for the current process
/// This function will create a new `Collector` instance and start collecting metrics.
/// It will run indefinitely until the process is terminated.
pub async fn init_process_observer(meter: opentelemetry::metrics::Meter) -> Result<(), GlobalError> {
let pid = sysinfo::get_current_pid().map_err(|e| GlobalError::PidError(e.to_string()))?;
let mut collector = collector::Collector::new(pid, meter, 30000)?;
collector.run().await
}
/// Initialize the metric collector for the specified PID process
/// This function will create a new `Collector` instance and start collecting metrics.
/// It will run indefinitely until the process is terminated.
pub async fn init_process_observer_for_pid(meter: opentelemetry::metrics::Meter, pid: u32) -> Result<(), GlobalError> {
let pid = sysinfo::Pid::from_u32(pid);
let mut collector = collector::Collector::new(pid, meter, 30000)?;
collector.run().await
}
+2 -1
View File
@@ -1,5 +1,6 @@
use crate::global::{ENVIRONMENT, LOGGER_LEVEL, METER_INTERVAL, SAMPLE_RATIO, SERVICE_NAME, SERVICE_VERSION, USE_STDOUT};
use crate::{get_local_ip_with_default, OtelConfig};
use crate::utils::get_local_ip_with_default;
use crate::OtelConfig;
use opentelemetry::trace::TracerProvider;
use opentelemetry::{global, KeyValue};
use opentelemetry_appender_tracing::layer;
+1 -1
View File
@@ -77,7 +77,7 @@ tokio-stream.workspace = true
tonic = { workspace = true }
tower.workspace = true
transform-stream.workspace = true
tower-http = { workspace = true, features = ["trace", "compression-full", "cors"] }
tower-http = { workspace = true, features = ["trace", "compression-deflate", "compression-gzip", "cors"] }
uuid = { workspace = true }
[target.'cfg(target_os = "linux")'.dependencies]
+2 -1
View File
@@ -271,7 +271,8 @@ pub async fn start_static_file_server(
.route("/config.json", get(config_handler))
.fallback_service(get(static_handler))
.layer(cors)
.layer(tower_http::compression::CompressionLayer::new())
.layer(tower_http::compression::CompressionLayer::new().gzip(true))
.layer(tower_http::compression::CompressionLayer::new().deflate(true))
.layer(TraceLayer::new_for_http());
let local_addr: SocketAddr = addrs.parse().expect("Failed to parse socket address");
info!("WebUI: http://{}:{} http://127.0.0.1:{}", local_ip, local_addr.port(), local_addr.port());
+96 -27
View File
@@ -14,6 +14,7 @@ use crate::console::{init_console_cfg, CONSOLE_CONFIG};
// Ensure the correct path for parse_license is imported
use crate::server::{wait_for_shutdown, ServiceState, ServiceStateManager, ShutdownSignal, SHUTDOWN_TIMEOUT};
use crate::utils::error;
use bytes::Bytes;
use chrono::Datelike;
use clap::Parser;
use common::{
@@ -37,6 +38,7 @@ use ecstore::{
};
use ecstore::{global::set_global_rustfs_port, notification_sys::new_global_notification_sys};
use grpc::make_server;
use http::{HeaderMap, Request as HttpRequest, Response};
use hyper_util::server::graceful::GracefulShutdown;
use hyper_util::{
rt::{TokioExecutor, TokioIo},
@@ -47,17 +49,20 @@ use iam::init_iam_sys;
use license::init_license;
use protos::proto_gen::node_service::node_service_server::NodeServiceServer;
use rustfs_event_notifier::NotifierConfig;
use rustfs_obs::{init_obs, init_system_metrics, load_config, set_global_guard, InitLogStatus};
use rustfs_obs::{init_obs, init_process_observer, load_config, set_global_guard};
use rustls::ServerConfig;
use s3s::{host::MultiDomain, service::S3ServiceBuilder};
use service::hybrid;
use std::net::SocketAddr;
use std::sync::Arc;
use std::time::Duration;
use tokio::net::TcpListener;
use tokio::signal::unix::{signal, SignalKind};
use tokio_rustls::TlsAcceptor;
use tonic::{metadata::MetadataValue, Request, Status};
use tower_http::cors::CorsLayer;
use tower_http::trace::TraceLayer;
use tracing::Span;
use tracing::{debug, error, info, info_span, warn};
#[cfg(all(target_os = "linux", target_env = "gnu"))]
@@ -103,9 +108,6 @@ async fn main() -> Result<()> {
// Store in global storage
set_global_guard(guard)?;
// Log initialization status
InitLogStatus::init_start_log(&config.observability).await?;
// Initialize event notifier
let notifier_config = opt.clone().event_config;
if notifier_config.is_some() {
@@ -123,16 +125,6 @@ async fn main() -> Result<()> {
info!("event_config is empty");
}
let meter = opentelemetry::global::meter("system");
let _ = init_system_metrics(meter).await;
// If GPU function is enabled, specific functions can be used
#[cfg(feature = "gpu")]
{
let gpu_meter = opentelemetry::global::meter("system.gpu");
let _ = rustfs_obs::init_gpu_metrics(gpu_meter).await;
}
// Run parameters
run(opt).await
}
@@ -257,6 +249,18 @@ async fn run(opt: config::Opt) -> Result<()> {
b.build()
};
// Record the PID-related metrics of the current process
let meter = opentelemetry::global::meter("system");
let obs_result = init_process_observer(meter).await;
match obs_result {
Ok(_) => {
info!("Process observer initialized successfully");
}
Err(e) => {
error!("Failed to initialize process observer: {}", e);
}
}
let rpc_service = NodeServiceServer::with_interceptor(make_server(), check_auth);
let tls_path = opt.tls_path.clone().unwrap_or_default();
@@ -310,18 +314,53 @@ async fn run(opt: config::Opt) -> Result<()> {
let mut sigint_inner = sigint_inner;
let hybrid_service = TowerToHyperService::new(
tower::ServiceBuilder::new()
.layer(
TraceLayer::new_for_http()
.make_span_with(|request: &HttpRequest<_>| {
let span = tracing::debug_span!("http-request",
status_code = tracing::field::Empty,
method = %request.method(),
uri = %request.uri(),
version = ?request.version(),
);
for (header_name, header_value) in request.headers() {
if header_name == "user-agent" || header_name == "content-type" || header_name == "content-length"
{
span.record(header_name.as_str(), header_value.to_str().unwrap_or("invalid"));
}
}
span
})
.on_request(|request: &HttpRequest<_>, _span: &Span| {
debug!("started method: {}, url path: {}", request.method(), request.uri().path())
})
.on_response(|response: &Response<_>, latency: Duration, _span: &Span| {
_span.record("status_code", tracing::field::display(response.status()));
debug!("response generated in {:?}", latency)
})
.on_body_chunk(|chunk: &Bytes, latency: Duration, _span: &Span| {
debug!("sending {} bytes in {:?}", chunk.len(), latency)
})
.on_eos(|_trailers: Option<&HeaderMap>, stream_duration: Duration, _span: &Span| {
debug!("stream closed after {:?}", stream_duration)
})
.on_failure(|_error, latency: Duration, _span: &Span| {
debug!("request error: {:?} in {:?}", _error, latency)
}),
)
.layer(CorsLayer::permissive())
.service(hybrid(s3_service, rpc_service)),
);
let http_server = ConnBuilder::new(TokioExecutor::new());
let http_server = Arc::new(ConnBuilder::new(TokioExecutor::new()));
let mut ctrl_c = std::pin::pin!(tokio::signal::ctrl_c());
let graceful = GracefulShutdown::new();
let graceful = Arc::new(GracefulShutdown::new());
debug!("graceful initiated");
// 服务准备就绪
worker_state_manager.update(ServiceState::Ready);
let value = hybrid_service.clone();
loop {
debug!("waiting for SIGINT or SIGTERM has_tls_certs: {}", has_tls_certs);
// Wait for a connection
@@ -376,12 +415,17 @@ async fn run(opt: config::Opt) -> Result<()> {
continue;
}
};
let conn = http_server.serve_connection(TokioIo::new(tls_socket), hybrid_service.clone());
let conn = graceful.watch(conn.into_owned());
let http_server_clone = http_server.clone();
let value_clone = value.clone();
let graceful_clone = graceful.clone();
tokio::task::spawn_blocking(move || {
tokio::runtime::Runtime::new()
.expect("Failed to create runtime")
.block_on(async move {
let conn = http_server_clone.serve_connection(TokioIo::new(tls_socket), value_clone);
let conn = graceful_clone.watch(conn);
if let Err(err) = conn.await {
error!("Https Connection error: {}", err);
}
@@ -390,9 +434,13 @@ async fn run(opt: config::Opt) -> Result<()> {
debug!("TLS handshake success");
} else {
debug!("Http handshake start");
let conn = http_server.serve_connection(TokioIo::new(socket), hybrid_service.clone());
let conn = graceful.watch(conn.into_owned());
let http_server_clone = http_server.clone();
let value_clone = value.clone();
let graceful_clone = graceful.clone();
tokio::spawn(async move {
let conn = http_server_clone.serve_connection(TokioIo::new(socket), value_clone);
let conn = graceful_clone.watch(conn);
if let Err(err) = conn.await {
error!("Http Connection error: {}", err);
}
@@ -401,12 +449,33 @@ async fn run(opt: config::Opt) -> Result<()> {
}
}
worker_state_manager.update(ServiceState::Stopping);
tokio::select! {
() = graceful.shutdown() => {
debug!("Gracefully shutdown!");
},
() = tokio::time::sleep(std::time::Duration::from_secs(10)) => {
debug!("Waited 10 seconds for graceful shutdown, aborting...");
// tokio::select! {
// () = graceful.shutdown() => {
// debug!("Gracefully shutdown!");
// },
// () = tokio::time::sleep(std::time::Duration::from_secs(10)) => {
// debug!("Waited 10 seconds for graceful shutdown, aborting...");
// }
// }
match Arc::try_unwrap(graceful) {
Ok(g) => {
// 成功获取唯一所有权,可以调用 shutdown
tokio::select! {
() = g.shutdown() => {
debug!("Gracefully shutdown!");
},
() = tokio::time::sleep(Duration::from_secs(10)) => {
debug!("Waited 10 seconds for graceful shutdown, aborting...");
}
}
}
Err(arc_graceful) => {
// 还有其他引用存在,无法获取唯一所有权
debug!("Cannot perform graceful shutdown, other references exist");
error!("Cannot perform graceful shutdown, other references exist err: {:?}", arc_graceful);
// 在这种情况下,我们只能等待超时
tokio::time::sleep(Duration::from_secs(10)).await;
debug!("Timeout reached, forcing shutdown");
}
}
worker_state_manager.update(ServiceState::Stopped);
+2 -1
View File
@@ -166,7 +166,8 @@ impl SimpleQueryDispatcher {
if let Some(delimiter) = csv.field_delimiter.as_ref() {
file_format = file_format.with_delimiter(delimiter.as_bytes().first().copied().unwrap_or_default());
}
if csv.file_header_info.is_some() {}
// TODO waiting for processing @junxiang Mu
// if csv.file_header_info.is_some() {}
match csv.file_header_info.as_ref() {
Some(info) => {
if *info == *NONE {
+2 -2
View File
@@ -40,13 +40,13 @@ export RUSTFS_OBS_CONFIG="./deploy/config/obs.example.toml"
# 如下变量需要必须参数都有值才可以,以及会覆盖配置文件中的值
export RUSTFS__OBSERVABILITY__ENDPOINT=http://localhost:4317
export RUSTFS__OBSERVABILITY__USE_STDOUT=true
export RUSTFS__OBSERVABILITY__USE_STDOUT=false
export RUSTFS__OBSERVABILITY__SAMPLE_RATIO=2.0
export RUSTFS__OBSERVABILITY__METER_INTERVAL=30
export RUSTFS__OBSERVABILITY__SERVICE_NAME=rustfs
export RUSTFS__OBSERVABILITY__SERVICE_VERSION=0.1.0
export RUSTFS__OBSERVABILITY__ENVIRONMENT=develop
export RUSTFS__OBSERVABILITY__LOGGER_LEVEL=info
export RUSTFS__OBSERVABILITY__LOGGER_LEVEL=debug
export RUSTFS__SINKS__FILE__ENABLED=true
export RUSTFS__SINKS__FILE__PATH="./deploy/logs/rustfs.log"
export RUSTFS__SINKS__WEBHOOK__ENABLED=false
+31
View File
@@ -0,0 +1,31 @@
# trailing comma in arrays
always_trailing_comma = false
# trailing comma when multi-line
multiline_trailing_comma = true
# the maximum length in bytes of the string of an array object
max_array_line_len = 80
# number of spaces to indent
indent_count = 4
# space around equal sign
space_around_eq = true
# remove all the spacing inside the array
compact_arrays = false
# remove all the spacing inside the object
compact_inline_tables = false
trailing_newline = true
# is it ok to have blank lines inside a table
# this option needs to be true for the --grouped flag
key_value_newlines = true
allowed_blank_lines = 1
# windows style line endings
crlf = false
# The user specified ordering of tables in a document.
# All unspecified tables will come after these.
table_order = [
"package",
"features",
"dependencies",
"build-dependencies",
"dev-dependencies",
"workspace"
]