feat(runtime): add weighted workload scheduler

This commit is contained in:
Ruihang Xia
2026-07-27 17:29:53 +08:00
parent f713d241e6
commit 62c4683f69
10 changed files with 324 additions and 5 deletions
Generated
+9
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@@ -1667,6 +1667,14 @@ dependencies = [
"tokio-stream",
]
[[package]]
name = "catio"
version = "0.1.0"
source = "git+https://github.com/waynexia/catio.git?rev=ddcd3e9e5a5fdd1e58866ed4e6dbbc2062bae44a#ddcd3e9e5a5fdd1e58866ed4e6dbbc2062bae44a"
dependencies = [
"tokio",
]
[[package]]
name = "cbc"
version = "0.1.2"
@@ -2762,6 +2770,7 @@ name = "common-runtime"
version = "1.2.0"
dependencies = [
"async-trait",
"catio",
"clap",
"common-error",
"common-macro",
+1
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@@ -271,6 +271,7 @@ zstd = "0.13"
api = { path = "src/api" }
auth = { path = "src/auth" }
cache = { path = "src/cache" }
catio = { git = "https://github.com/waynexia/catio.git", rev = "ddcd3e9e5a5fdd1e58866ed4e6dbbc2062bae44a" }
catalog = { path = "src/catalog" }
cli = { path = "src/cli" }
client = { path = "src/client" }
+10
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@@ -25,6 +25,11 @@
| `runtime` | -- | -- | The runtime options. |
| `runtime.global_rt_size` | Integer | `8` | The number of threads to execute the runtime for global read operations. |
| `runtime.compact_rt_size` | Integer | `4` | The number of threads to execute the runtime for global write operations. |
| `runtime.experimental_workload_scheduler` | -- | -- | Experimental weighted, work-conserving query/write task scheduler. |
| `runtime.experimental_workload_scheduler.enable` | Bool | `false` | Enable the scheduler. Disabled by default. |
| `runtime.experimental_workload_scheduler.max_concurrent_polls` | Integer | `0` | Maximum task polls admitted to Tokio at once. Zero uses 4 * global_rt_size. |
| `runtime.experimental_workload_scheduler.query_weight` | Integer | `2` | Relative query share while both query and write workloads are backlogged. |
| `runtime.experimental_workload_scheduler.write_weight` | Integer | `8` | Relative write share while both query and write workloads are backlogged. |
| `http` | -- | -- | The HTTP server options. |
| `http.addr` | String | `127.0.0.1:4000` | The address to bind the HTTP server. |
| `http.timeout` | String | `0s` | HTTP request timeout. Set to 0 to disable timeout. |
@@ -491,6 +496,11 @@
| `runtime.compact_rt_size` | Integer | `4` | The number of threads to execute the runtime for global write operations. |
| `runtime.query_rt_size` | Integer | `7` | The number of threads to execute datanode query operations.<br/>Defaults to max(num_cpus - 1, 1). |
| `runtime.ingest_rt_size` | Integer | `8` | The number of threads to execute datanode ingestion operations. |
| `runtime.experimental_workload_scheduler` | -- | -- | Experimental weighted, work-conserving query/write task scheduler. |
| `runtime.experimental_workload_scheduler.enable` | Bool | `false` | Enable the scheduler. Disabled by default. |
| `runtime.experimental_workload_scheduler.max_concurrent_polls` | Integer | `0` | Maximum task polls admitted to Tokio at once. Zero uses 4 * global_rt_size. |
| `runtime.experimental_workload_scheduler.query_weight` | Integer | `2` | Relative query share while both query and write workloads are backlogged. |
| `runtime.experimental_workload_scheduler.write_weight` | Integer | `8` | Relative write share while both query and write workloads are backlogged. |
| `meta_client` | -- | -- | The metasrv client options. |
| `meta_client.metasrv_addrs` | Array | -- | The addresses of the metasrv. |
| `meta_client.timeout` | String | `3s` | Operation timeout. |
+11
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@@ -88,6 +88,17 @@ watch = false
## The number of threads to execute datanode ingestion operations.
#+ ingest_rt_size = 8
## Experimental weighted, work-conserving query/write task scheduler.
#+ [runtime.experimental_workload_scheduler]
## Enable the scheduler. Disabled by default.
#+ enable = false
## Maximum task polls admitted to Tokio at once. Zero uses 4 * global_rt_size.
#+ max_concurrent_polls = 0
## Relative query share while both query and write workloads are backlogged.
#+ query_weight = 2
## Relative write share while both query and write workloads are backlogged.
#+ write_weight = 8
## The metasrv client options.
[meta_client]
## The addresses of the metasrv.
+11
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@@ -56,6 +56,17 @@ max_concurrent_queries = 0
## The number of threads to execute the runtime for global write operations.
#+ compact_rt_size = 4
## Experimental weighted, work-conserving query/write task scheduler.
#+ [runtime.experimental_workload_scheduler]
## Enable the scheduler. Disabled by default.
#+ enable = false
## Maximum task polls admitted to Tokio at once. Zero uses 4 * global_rt_size.
#+ max_concurrent_polls = 0
## Relative query share while both query and write workloads are backlogged.
#+ query_weight = 2
## Relative write share while both query and write workloads are backlogged.
#+ write_weight = 8
## The HTTP server options.
[http]
## The address to bind the HTTP server.
+22
View File
@@ -48,6 +48,12 @@ fn test_load_datanode_runtime_options_from_runtime_section() {
compact_rt_size = 4
ingest_rt_size = 8
query_rt_size = 7
[runtime.experimental_workload_scheduler]
enable = true
max_concurrent_polls = 6
query_weight = 1
write_weight = 4
"#;
let options: GreptimeOptions<DatanodeOptions> = toml::from_str(toml).unwrap();
@@ -56,6 +62,22 @@ fn test_load_datanode_runtime_options_from_runtime_section() {
assert_eq!(4, options.runtime.compact_rt_size);
assert_eq!(8, options.runtime.ingest_rt_size);
assert_eq!(7, options.runtime.query_rt_size);
assert!(options.runtime.experimental_workload_scheduler.enable);
assert_eq!(
6,
options
.runtime
.experimental_workload_scheduler
.max_concurrent_polls
);
assert_eq!(
1,
options.runtime.experimental_workload_scheduler.query_weight
);
assert_eq!(
4,
options.runtime.experimental_workload_scheduler.write_weight
);
}
#[allow(deprecated)]
+1
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@@ -16,6 +16,7 @@ workspace = true
[dependencies]
async-trait.workspace = true
catio.workspace = true
clap.workspace = true
common-error.workspace = true
common-macro.workspace = true
+180 -4
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@@ -16,17 +16,49 @@
use std::future::Future;
use std::sync::{Mutex, Once};
use common_telemetry::info;
use catio::{Scheduler, SchedulerStats, TaskClass};
use common_telemetry::{info, warn};
use once_cell::sync::Lazy;
use paste::paste;
use serde::{Deserialize, Serialize};
use crate::metrics::register_workload_scheduler_metrics;
use crate::runtime::{BuilderBuild, RuntimeTrait};
use crate::{Builder, JoinHandle, Runtime};
const GLOBAL_WORKERS: usize = 8;
const COMPACT_WORKERS: usize = 4;
const HB_WORKERS: usize = 2;
pub(crate) const QUERY_TASK_CLASS: TaskClass = TaskClass::new(1);
pub(crate) const WRITE_TASK_CLASS: TaskClass = TaskClass::new(2);
/// Experimental options for sharing Tokio capacity between query and write
/// workloads.
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
#[serde(default)]
pub struct WorkloadSchedulerOptions {
/// Enables policy-controlled query and write task spawning.
pub enable: bool,
/// Maximum polls admitted to Tokio at once. Zero uses four times
/// `global_rt_size` to keep worker queues fed without making them
/// effectively unbounded.
pub max_concurrent_polls: usize,
/// Relative share for query polls while writes are also backlogged.
pub query_weight: u32,
/// Relative share for write polls while queries are also backlogged.
pub write_weight: u32,
}
impl Default for WorkloadSchedulerOptions {
fn default() -> Self {
Self {
enable: false,
max_concurrent_polls: 0,
query_weight: 2,
write_weight: 8,
}
}
}
/// The options for the global runtimes.
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
@@ -40,6 +72,8 @@ pub struct RuntimeOptions {
pub query_rt_size: usize,
/// The number of threads to execute datanode ingestion operations.
pub ingest_rt_size: usize,
/// Experimental weighted scheduler for query and write workloads.
pub experimental_workload_scheduler: WorkloadSchedulerOptions,
}
impl Default for RuntimeOptions {
@@ -50,6 +84,7 @@ impl Default for RuntimeOptions {
compact_rt_size: usize::max(cpus / 2, 1),
query_rt_size: usize::max(cpus.saturating_sub(1), 1),
ingest_rt_size: cpus,
experimental_workload_scheduler: WorkloadSchedulerOptions::default(),
}
}
}
@@ -72,6 +107,7 @@ struct GlobalRuntimes {
hb_runtime: Runtime,
query_runtime: Runtime,
ingest_runtime: Runtime,
workload_scheduler: Option<Scheduler>,
}
macro_rules! define_spawn {
@@ -101,12 +137,42 @@ macro_rules! define_spawn {
};
}
macro_rules! define_scheduled_spawn {
($type: ident, $class: ident) => {
paste! {
fn [<spawn_ $type>]<F>(&self, future: F) -> JoinHandle<F::Output>
where
F: Future + Send + 'static,
F::Output: Send + 'static,
{
match &self.workload_scheduler {
Some(scheduler) => self.[<$type _runtime>]
.spawn(scheduler.schedule_in($class, future)),
None => self.[<$type _runtime>].spawn(future),
}
}
fn [<spawn_blocking_ $type>]<F, R>(&self, future: F) -> JoinHandle<R>
where
F: FnOnce() -> R + Send + 'static,
R: Send + 'static,
{
self.[<$type _runtime>].spawn_blocking(future)
}
fn [<block_on_ $type>]<F: Future>(&self, future: F) -> F::Output {
self.[<$type _runtime>].block_on(future)
}
}
};
}
impl GlobalRuntimes {
define_spawn!(global);
define_spawn!(compact);
define_spawn!(hb);
define_spawn!(query);
define_spawn!(ingest);
define_scheduled_spawn!(query, QUERY_TASK_CLASS);
define_scheduled_spawn!(ingest, WRITE_TASK_CLASS);
fn new(
global: Option<Runtime>,
@@ -114,6 +180,7 @@ impl GlobalRuntimes {
heartbeat: Option<Runtime>,
query: Option<Runtime>,
ingest: Option<Runtime>,
workload_scheduler: Option<Scheduler>,
) -> Self {
let global_runtime =
global.unwrap_or_else(|| create_runtime("global", "global-worker", GLOBAL_WORKERS));
@@ -128,6 +195,7 @@ impl GlobalRuntimes {
.unwrap_or_else(|| create_runtime("heartbeat", "hb-worker", HB_WORKERS)),
query_runtime,
ingest_runtime,
workload_scheduler,
}
}
}
@@ -139,6 +207,7 @@ struct ConfigRuntimes {
hb_runtime: Option<Runtime>,
query_runtime: Option<Runtime>,
ingest_runtime: Option<Runtime>,
workload_scheduler: Option<Scheduler>,
already_init: bool,
}
@@ -149,9 +218,17 @@ static GLOBAL_RUNTIMES: Lazy<GlobalRuntimes> = Lazy::new(|| {
let heartbeat = c.hb_runtime.take();
let query = c.query_runtime.take();
let ingest = c.ingest_runtime.take();
let workload_scheduler = c.workload_scheduler.take();
c.already_init = true;
GlobalRuntimes::new(global, compact, heartbeat, query, ingest)
GlobalRuntimes::new(
global,
compact,
heartbeat,
query,
ingest,
workload_scheduler,
)
});
static CONFIG_RUNTIMES: Lazy<Mutex<ConfigRuntimes>> =
@@ -178,9 +255,50 @@ pub fn init_global_runtimes(options: &RuntimeOptions) {
options.compact_rt_size,
));
c.hb_runtime = Some(create_runtime("heartbeat", "hb-worker", HB_WORKERS));
c.workload_scheduler = create_workload_scheduler(options);
});
}
fn create_workload_scheduler(options: &RuntimeOptions) -> Option<Scheduler> {
let scheduler_options = &options.experimental_workload_scheduler;
if !scheduler_options.enable {
return None;
}
if scheduler_options.query_weight == 0 || scheduler_options.write_weight == 0 {
warn!(
"The experimental workload scheduler is disabled because query_weight and \
write_weight must both be greater than zero"
);
return None;
}
let max_concurrent_polls = if scheduler_options.max_concurrent_polls == 0 {
options.global_rt_size.saturating_mul(4)
} else {
scheduler_options.max_concurrent_polls
};
if max_concurrent_polls == 0 {
warn!(
"The experimental workload scheduler is disabled because max_concurrent_polls \
resolved to zero"
);
return None;
}
let scheduler = Scheduler::builder()
.max_concurrent_polls(max_concurrent_polls)
.weight(QUERY_TASK_CLASS, scheduler_options.query_weight)
.weight(WRITE_TASK_CLASS, scheduler_options.write_weight)
.build();
register_workload_scheduler_metrics(scheduler.clone());
info!(
"Enabled the experimental workload scheduler: max_concurrent_polls={}, \
query_weight={}, write_weight={}",
max_concurrent_polls, scheduler_options.query_weight, scheduler_options.write_weight
);
Some(scheduler)
}
/// Initialize the datanode-specific global runtimes.
///
/// # Panics
@@ -244,6 +362,15 @@ define_global_runtime_spawn!(hb);
define_global_runtime_spawn!(query);
define_global_runtime_spawn!(ingest);
/// Returns scheduler counters when the experimental workload scheduler is
/// enabled.
pub fn workload_scheduler_stats() -> Option<SchedulerStats> {
GLOBAL_RUNTIMES
.workload_scheduler
.as_ref()
.map(Scheduler::stats)
}
#[cfg(test)]
mod tests {
use tokio_test::assert_ok;
@@ -259,6 +386,10 @@ mod tests {
assert_eq!(usize::max(cpus / 2, 1), options.compact_rt_size);
assert_eq!(usize::max(cpus.saturating_sub(1), 1), options.query_rt_size);
assert_eq!(cpus, options.ingest_rt_size);
assert_eq!(
WorkloadSchedulerOptions::default(),
options.experimental_workload_scheduler
);
}
#[test]
@@ -269,6 +400,7 @@ mod tests {
None,
None,
None,
None,
);
assert_eq!("test-global", runtimes.global_runtime.name());
@@ -276,6 +408,50 @@ mod tests {
assert_eq!("test-global", runtimes.ingest_runtime.name());
}
#[test]
fn test_workload_scheduler_default_admission_window() {
let mut options = RuntimeOptions {
global_rt_size: 3,
..RuntimeOptions::default()
};
options.experimental_workload_scheduler.enable = true;
let scheduler = create_workload_scheduler(&options).unwrap();
let stats = scheduler.stats();
assert_eq!(12, stats.max_concurrent_polls);
assert_eq!(2, stats.classes[&QUERY_TASK_CLASS].weight);
assert_eq!(8, stats.classes[&WRITE_TASK_CLASS].weight);
}
#[test]
fn test_workload_scheduler_wraps_query_and_write_spawns() {
let runtime = create_runtime("test-workload", "test-workload-worker", 2);
let scheduler = Scheduler::builder()
.max_concurrent_polls(2)
.weight(QUERY_TASK_CLASS, 2)
.weight(WRITE_TASK_CLASS, 8)
.build();
let runtimes = GlobalRuntimes::new(
Some(runtime.clone()),
Some(runtime.clone()),
Some(runtime.clone()),
Some(runtime.clone()),
Some(runtime.clone()),
Some(scheduler.clone()),
);
let query = runtimes.spawn_query(async { "query" });
let write = runtimes.spawn_ingest(async { "write" });
let (query, write) =
runtime.block_on(async { (query.await.unwrap(), write.await.unwrap()) });
assert_eq!("query", query);
assert_eq!("write", write);
let stats = scheduler.stats();
assert_eq!(1, stats.classes[&QUERY_TASK_CLASS].polls);
assert_eq!(1, stats.classes[&WRITE_TASK_CLASS].polls);
}
#[test]
fn test_datanode_runtime_spawn_block_on() {
let handle = spawn_query(async { 1 + 1 });
+1 -1
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@@ -25,7 +25,7 @@ pub use global::{
create_runtime, global_runtime, ingest_runtime, init_datanode_runtimes, init_global_runtimes,
query_runtime, spawn_blocking_compact, spawn_blocking_global, spawn_blocking_hb,
spawn_blocking_ingest, spawn_blocking_query, spawn_compact, spawn_global, spawn_hb,
spawn_ingest, spawn_query,
spawn_ingest, spawn_query, workload_scheduler_stats,
};
pub use crate::repeated_task::{BoxedTaskFunction, RepeatedTask, TaskFunction};
+78
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@@ -13,9 +13,14 @@
// limitations under the License.
//! Runtime metrics
use catio::Scheduler;
use lazy_static::lazy_static;
use prometheus::core::{Collector, Desc};
use prometheus::proto::MetricFamily;
use prometheus::*;
use crate::global::{QUERY_TASK_CLASS, WRITE_TASK_CLASS};
pub const THREAD_NAME_LABEL: &str = "thread_name";
lazy_static! {
@@ -32,3 +37,76 @@ lazy_static! {
)
.unwrap();
}
#[derive(Clone)]
struct WorkloadSchedulerCollector {
scheduler: Scheduler,
polls: IntGaugeVec,
queued: IntGaugeVec,
active: IntGauge,
}
impl WorkloadSchedulerCollector {
fn new(scheduler: Scheduler) -> Self {
Self {
scheduler,
polls: IntGaugeVec::new(
Opts::new(
"greptime_workload_scheduler_polls",
"Cumulative task polls admitted by the workload scheduler",
),
&["workload"],
)
.unwrap(),
queued: IntGaugeVec::new(
Opts::new(
"greptime_workload_scheduler_queued_tasks",
"Tasks queued in the workload scheduler",
),
&["workload"],
)
.unwrap(),
active: IntGauge::new(
"greptime_workload_scheduler_active_polls",
"Task polls admitted to Tokio but not yet completed",
)
.unwrap(),
}
}
fn update(&self) {
let stats = self.scheduler.stats();
for (class, workload) in [(QUERY_TASK_CLASS, "query"), (WRITE_TASK_CLASS, "write")] {
let class_stats = stats.classes.get(&class).cloned().unwrap_or_default();
self.polls
.with_label_values(&[workload])
.set(class_stats.polls.min(i64::MAX as u64) as i64);
self.queued
.with_label_values(&[workload])
.set(class_stats.queued.min(i64::MAX as usize) as i64);
}
self.active
.set(stats.active_polls.min(i64::MAX as usize) as i64);
}
}
impl Collector for WorkloadSchedulerCollector {
fn desc(&self) -> Vec<&Desc> {
let mut desc = self.polls.desc();
desc.extend(self.queued.desc());
desc.extend(self.active.desc());
desc
}
fn collect(&self) -> Vec<MetricFamily> {
self.update();
let mut families = self.polls.collect();
families.extend(self.queued.collect());
families.extend(self.active.collect());
families
}
}
pub(crate) fn register_workload_scheduler_metrics(scheduler: Scheduler) {
let _ = register(Box::new(WorkloadSchedulerCollector::new(scheduler)));
}