Merge branch 'main' into khanova-test

This commit is contained in:
Anna Khanova
2024-04-24 17:28:28 +02:00
committed by GitHub
6 changed files with 137 additions and 63 deletions

View File

@@ -256,7 +256,16 @@ fn update_rusage_metrics() {
DISK_IO_BYTES
.with_label_values(&["write"])
.set(rusage_stats.ru_oublock * BYTES_IN_BLOCK);
MAXRSS_KB.set(rusage_stats.ru_maxrss);
// On macOS, the unit of maxrss is bytes; on Linux, it's kilobytes. https://stackoverflow.com/a/59915669
#[cfg(target_os = "macos")]
{
MAXRSS_KB.set(rusage_stats.ru_maxrss / 1024);
}
#[cfg(not(target_os = "macos"))]
{
MAXRSS_KB.set(rusage_stats.ru_maxrss);
}
}
fn get_rusage_stats() -> libc::rusage {

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@@ -162,6 +162,10 @@ impl KeySpace {
.sum()
}
pub fn is_empty(&self) -> bool {
self.total_size() == 0
}
fn overlaps_at(&self, range: &Range<Key>) -> Option<usize> {
match self.ranges.binary_search_by_key(&range.end, |r| r.start) {
Ok(0) => None,

View File

@@ -105,31 +105,39 @@ pub(crate) static VEC_READ_NUM_LAYERS_VISITED: Lazy<Histogram> = Lazy::new(|| {
});
// Metrics collected on operations on the storage repository.
#[derive(
Clone, Copy, enum_map::Enum, strum_macros::EnumString, strum_macros::Display, IntoStaticStr,
)]
pub(crate) enum GetKind {
Singular,
Vectored,
}
pub(crate) struct ReconstructTimeMetrics {
ok: Histogram,
err: Histogram,
singular: Histogram,
vectored: Histogram,
}
pub(crate) static RECONSTRUCT_TIME: Lazy<ReconstructTimeMetrics> = Lazy::new(|| {
let inner = register_histogram_vec!(
"pageserver_getpage_reconstruct_seconds",
"Time spent in reconstruct_value (reconstruct a page from deltas)",
&["result"],
&["get_kind"],
CRITICAL_OP_BUCKETS.into(),
)
.expect("failed to define a metric");
ReconstructTimeMetrics {
ok: inner.get_metric_with_label_values(&["ok"]).unwrap(),
err: inner.get_metric_with_label_values(&["err"]).unwrap(),
singular: inner.with_label_values(&[GetKind::Singular.into()]),
vectored: inner.with_label_values(&[GetKind::Vectored.into()]),
}
});
impl ReconstructTimeMetrics {
pub(crate) fn for_result<T, E>(&self, result: &Result<T, E>) -> &Histogram {
match result {
Ok(_) => &self.ok,
Err(_) => &self.err,
pub(crate) fn for_get_kind(&self, get_kind: GetKind) -> &Histogram {
match get_kind {
GetKind::Singular => &self.singular,
GetKind::Vectored => &self.vectored,
}
}
}
@@ -142,13 +150,33 @@ pub(crate) static MATERIALIZED_PAGE_CACHE_HIT_DIRECT: Lazy<IntCounter> = Lazy::n
.expect("failed to define a metric")
});
pub(crate) static GET_RECONSTRUCT_DATA_TIME: Lazy<Histogram> = Lazy::new(|| {
register_histogram!(
pub(crate) struct ReconstructDataTimeMetrics {
singular: Histogram,
vectored: Histogram,
}
impl ReconstructDataTimeMetrics {
pub(crate) fn for_get_kind(&self, get_kind: GetKind) -> &Histogram {
match get_kind {
GetKind::Singular => &self.singular,
GetKind::Vectored => &self.vectored,
}
}
}
pub(crate) static GET_RECONSTRUCT_DATA_TIME: Lazy<ReconstructDataTimeMetrics> = Lazy::new(|| {
let inner = register_histogram_vec!(
"pageserver_getpage_get_reconstruct_data_seconds",
"Time spent in get_reconstruct_value_data",
&["get_kind"],
CRITICAL_OP_BUCKETS.into(),
)
.expect("failed to define a metric")
.expect("failed to define a metric");
ReconstructDataTimeMetrics {
singular: inner.with_label_values(&[GetKind::Singular.into()]),
vectored: inner.with_label_values(&[GetKind::Vectored.into()]),
}
});
pub(crate) static MATERIALIZED_PAGE_CACHE_HIT: Lazy<IntCounter> = Lazy::new(|| {

View File

@@ -86,7 +86,7 @@ use crate::{
use crate::config::PageServerConf;
use crate::keyspace::{KeyPartitioning, KeySpace};
use crate::metrics::{
TimelineMetrics, MATERIALIZED_PAGE_CACHE_HIT, MATERIALIZED_PAGE_CACHE_HIT_DIRECT,
GetKind, TimelineMetrics, MATERIALIZED_PAGE_CACHE_HIT, MATERIALIZED_PAGE_CACHE_HIT_DIRECT,
};
use crate::pgdatadir_mapping::CalculateLogicalSizeError;
use crate::tenant::config::TenantConfOpt;
@@ -797,7 +797,9 @@ impl Timeline {
img: cached_page_img,
};
let timer = crate::metrics::GET_RECONSTRUCT_DATA_TIME.start_timer();
let timer = crate::metrics::GET_RECONSTRUCT_DATA_TIME
.for_get_kind(GetKind::Singular)
.start_timer();
let path = self
.get_reconstruct_data(key, lsn, &mut reconstruct_state, ctx)
.await?;
@@ -807,7 +809,7 @@ impl Timeline {
let res = self.reconstruct_value(key, lsn, reconstruct_state).await;
let elapsed = start.elapsed();
crate::metrics::RECONSTRUCT_TIME
.for_result(&res)
.for_get_kind(GetKind::Singular)
.observe(elapsed.as_secs_f64());
if cfg!(feature = "testing") && res.is_err() {
@@ -969,9 +971,22 @@ impl Timeline {
) -> Result<BTreeMap<Key, Result<Bytes, PageReconstructError>>, GetVectoredError> {
let mut reconstruct_state = ValuesReconstructState::new();
let get_kind = if keyspace.total_size() == 1 {
GetKind::Singular
} else {
GetKind::Vectored
};
let get_data_timer = crate::metrics::GET_RECONSTRUCT_DATA_TIME
.for_get_kind(get_kind)
.start_timer();
self.get_vectored_reconstruct_data(keyspace, lsn, &mut reconstruct_state, ctx)
.await?;
get_data_timer.stop_and_record();
let reconstruct_timer = crate::metrics::RECONSTRUCT_TIME
.for_get_kind(get_kind)
.start_timer();
let mut results: BTreeMap<Key, Result<Bytes, PageReconstructError>> = BTreeMap::new();
let layers_visited = reconstruct_state.get_layers_visited();
for (key, res) in reconstruct_state.keys {
@@ -987,6 +1002,7 @@ impl Timeline {
}
}
}
reconstruct_timer.stop_and_record();
// Note that this is an approximation. Tracking the exact number of layers visited
// per key requires virtually unbounded memory usage and is inefficient
@@ -3127,55 +3143,61 @@ impl Timeline {
unmapped_keyspace.remove_overlapping_with(&keys_done_last_step);
completed_keyspace.merge(&keys_done_last_step);
let guard = timeline.layers.read().await;
let layers = guard.layer_map();
// Do not descent any further if the last layer we visited
// completed all keys in the keyspace it inspected. This is not
// required for correctness, but avoids visiting extra layers
// which turns out to be a perf bottleneck in some cases.
if !unmapped_keyspace.is_empty() {
let guard = timeline.layers.read().await;
let layers = guard.layer_map();
let in_memory_layer = layers.find_in_memory_layer(|l| {
let start_lsn = l.get_lsn_range().start;
cont_lsn > start_lsn
});
let in_memory_layer = layers.find_in_memory_layer(|l| {
let start_lsn = l.get_lsn_range().start;
cont_lsn > start_lsn
});
match in_memory_layer {
Some(l) => {
let lsn_range = l.get_lsn_range().start..cont_lsn;
fringe.update(
ReadableLayer::InMemoryLayer(l),
unmapped_keyspace.clone(),
lsn_range,
);
}
None => {
for range in unmapped_keyspace.ranges.iter() {
let results = layers.range_search(range.clone(), cont_lsn);
match in_memory_layer {
Some(l) => {
let lsn_range = l.get_lsn_range().start..cont_lsn;
fringe.update(
ReadableLayer::InMemoryLayer(l),
unmapped_keyspace.clone(),
lsn_range,
);
}
None => {
for range in unmapped_keyspace.ranges.iter() {
let results = layers.range_search(range.clone(), cont_lsn);
results
.found
.into_iter()
.map(|(SearchResult { layer, lsn_floor }, keyspace_accum)| {
(
ReadableLayer::PersistentLayer(guard.get_from_desc(&layer)),
keyspace_accum.to_keyspace(),
lsn_floor..cont_lsn,
)
})
.for_each(|(layer, keyspace, lsn_range)| {
fringe.update(layer, keyspace, lsn_range)
});
results
.found
.into_iter()
.map(|(SearchResult { layer, lsn_floor }, keyspace_accum)| {
(
ReadableLayer::PersistentLayer(guard.get_from_desc(&layer)),
keyspace_accum.to_keyspace(),
lsn_floor..cont_lsn,
)
})
.for_each(|(layer, keyspace, lsn_range)| {
fringe.update(layer, keyspace, lsn_range)
});
}
}
}
}
// It's safe to drop the layer map lock after planning the next round of reads.
// The fringe keeps readable handles for the layers which are safe to read even
// if layers were compacted or flushed.
//
// The more interesting consideration is: "Why is the read algorithm still correct
// if the layer map changes while it is operating?". Doing a vectored read on a
// timeline boils down to pushing an imaginary lsn boundary downwards for each range
// covered by the read. The layer map tells us how to move the lsn downwards for a
// range at *a particular point in time*. It is fine for the answer to be different
// at two different time points.
drop(guard);
// It's safe to drop the layer map lock after planning the next round of reads.
// The fringe keeps readable handles for the layers which are safe to read even
// if layers were compacted or flushed.
//
// The more interesting consideration is: "Why is the read algorithm still correct
// if the layer map changes while it is operating?". Doing a vectored read on a
// timeline boils down to pushing an imaginary lsn boundary downwards for each range
// covered by the read. The layer map tells us how to move the lsn downwards for a
// range at *a particular point in time*. It is fine for the answer to be different
// at two different time points.
drop(guard);
}
if let Some((layer_to_read, keyspace_to_read, lsn_range)) = fringe.next_layer() {
let next_cont_lsn = lsn_range.start;

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@@ -403,7 +403,7 @@ async fn main() -> anyhow::Result<()> {
maintenance_tasks.spawn(usage_metrics::task_main(metrics_config));
client_tasks.spawn(usage_metrics::task_backup(
&metrics_config.backup_metric_collection_config,
cancellation_token,
cancellation_token.clone(),
));
}
@@ -423,7 +423,10 @@ async fn main() -> anyhow::Result<()> {
let cache = api.caches.endpoints_cache.clone();
let con = regional_redis_client;
let span = tracing::info_span!("endpoints_cache");
maintenance_tasks.spawn(async move { cache.do_read(con).await }.instrument(span));
maintenance_tasks.spawn(
async move { cache.do_read(con, cancellation_token.clone()).await }
.instrument(span),
);
}
}
}

View File

@@ -4,6 +4,7 @@ use std::{
atomic::{AtomicBool, Ordering},
Arc,
},
time::Duration,
};
use dashmap::DashSet;
@@ -13,6 +14,7 @@ use redis::{
};
use serde::Deserialize;
use tokio::sync::Mutex;
use tokio_util::sync::CancellationToken;
use tracing::info;
use crate::{
@@ -111,16 +113,22 @@ impl EndpointsCache {
pub async fn do_read(
&self,
mut con: ConnectionWithCredentialsProvider,
cancellation_token: CancellationToken,
) -> anyhow::Result<Infallible> {
let mut last_id = "0-0".to_string();
loop {
self.ready.store(false, Ordering::Release);
if let Err(e) = con.connect().await {
tracing::error!("error connecting to redis: {:?}", e);
continue;
self.ready.store(false, Ordering::Release);
}
if let Err(e) = self.read_from_stream(&mut con, &mut last_id).await {
tracing::error!("error reading from redis: {:?}", e);
self.ready.store(false, Ordering::Release);
}
if cancellation_token.is_cancelled() {
info!("cancellation token is cancelled, exiting");
tokio::time::sleep(Duration::from_secs(60 * 60 * 24 * 7)).await;
// 1 week.
}
tokio::time::sleep(self.config.retry_interval).await;
}