better stats aggregations

This commit is contained in:
Bryan Stitt 2022-11-02 23:14:16 +00:00
parent f2268dbb1b
commit e8f2a13f5d
18 changed files with 829 additions and 382 deletions

20
Cargo.lock generated

@ -1091,19 +1091,6 @@ dependencies = [
"cipher 0.4.3",
]
[[package]]
name = "dashmap"
version = "5.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "907076dfda823b0b36d2a1bb5f90c96660a5bbcd7729e10727f07858f22c4edc"
dependencies = [
"cfg-if",
"hashbrown",
"lock_api",
"once_cell",
"parking_lot_core 0.9.3",
]
[[package]]
name = "deadpool"
version = "0.9.5"
@ -1361,7 +1348,7 @@ dependencies = [
[[package]]
name = "entities"
version = "0.8.0"
version = "0.9.0"
dependencies = [
"sea-orm",
"serde",
@ -2670,7 +2657,7 @@ dependencies = [
[[package]]
name = "migration"
version = "0.8.0"
version = "0.9.0"
dependencies = [
"sea-orm-migration",
"tokio",
@ -5541,7 +5528,7 @@ dependencies = [
[[package]]
name = "web3_proxy"
version = "0.8.0"
version = "0.9.0"
dependencies = [
"anyhow",
"arc-swap",
@ -5551,7 +5538,6 @@ dependencies = [
"axum-macros",
"chrono",
"counter",
"dashmap",
"deferred-rate-limiter",
"derive_more",
"dotenv",

20
TODO.md

@ -215,7 +215,8 @@ These are roughly in order of completition
- [x] in code
- [x] in database with a migration
- [x] instead of requests_per_minute on every key, have a "user_tier" that gets joined
- [ ] document url params with a test that works for examples
- [x] document url params with examples
- [x] improve "docs/http routes.txt"
- [ ] include if archive query or not in the stats
- this is already partially done, but we need to double check it works. preferrably with tests
- [-] add configurable size limits to all the Caches
@ -224,6 +225,15 @@ These are roughly in order of completition
- this must be opt-in or spawned since it will slow things down and will make their calls less private
- [ ] automatic pruning of old revert logs once too many are collected
- [ ] we currently default to 0.0 and don't expose a way to edit it. we have a database row, but we don't use it
## V1
These are not yet ordered.
- [ ] with a test that creates a user and modifies their key
- [ ] Uuid/Ulid instead of big_unsigned for database ids
- might have to use Uuid in sea-orm and then convert to Ulid on display
- https://www.kostolansky.sk/posts/how-to-migrate-to-uuid/
- [ ] make the "not synced" error more verbose
- I think there is a bug in our synced_rpcs filtering. likely in has_block_data
- seeing "not synced" when I load https://vfat.tools/esd/
@ -236,15 +246,7 @@ These are roughly in order of completition
- [ ] if no bearer token found in redis (likely because it expired), send 401 unauthorized
- [ ] user create script should allow multiple keys per user
- [ ] somehow the proxy thought latest was hours behind. need internal health check that forces reconnect if this happens
- [ ] Uuid/Ulid instead of big_unsigned for database ids
- might have to use Uuid in sea-orm and then convert to Ulid on display
- https://www.kostolansky.sk/posts/how-to-migrate-to-uuid/
- [ ] display concurrent requests per api key (only with authentication!)
## V1
These are not yet ordered.
- [ ] change "remember me" to last until 4 weeks of no use, rather than 4 weeks since login
- [ ] BUG! if sending transactions gets "INTERNAL_ERROR: existing tx with same hash", fake a success message
- ERROR http_request:request:try_send_all_upstream_servers: web3_proxy::rpcs::request: bad response! err=JsonRpcClientError(JsonRpcError(JsonRpcError { code: -32000, message: "INTERNAL_ERROR: existing tx with same hash", data: None })) method=eth_sendRawTransaction rpc=local_erigon_alpha_archive id=01GF4HV03Y4ZNKQV8DW5NDQ5CG method=POST authorized_request=User(Some(SqlxMySqlPoolConnection), AuthorizedKey { ip: 10.11.12.15, origin: None, user_key_id: 4, log_revert_chance: 0.0000 }) self=Web3Connections { conns: {"local_erigon_alpha_archive_ws": Web3Connection { name: "local_erigon_alpha_archive_ws", blocks: "all", .. }, "local_geth_ws": Web3Connection { name: "local_geth_ws", blocks: 64, .. }, "local_erigon_alpha_archive": Web3Connection { name: "local_erigon_alpha_archive", blocks: "all", .. }}, .. } authorized_request=Some(User(Some(SqlxMySqlPoolConnection), AuthorizedKey { ip: 10.11.12.15, origin: None, user_key_id: 4, log_revert_chance: 0.0000 })) request=JsonRpcRequest { id: RawValue(39), method: "eth_sendRawTransaction", .. } request_metadata=Some(RequestMetadata { datetime: 2022-10-11T22:14:57.406829095Z, period_seconds: 60, request_bytes: 633, backend_requests: 0, no_servers: 0, error_response: false, response_bytes: 0, response_millis: 0 }) block_needed=None

@ -90,13 +90,12 @@ GET /user/keys
Checks the "AUTHORIZATION" header for a valid bearer token.
If valid, displays data about the user's keys as JSON.
POST /user/keys
POST or PUT /user/keys
Checks the "AUTHORIZATION" header for a valid bearer token.
If valid, allows the user to change options on their keys.
If valid, allows the user to create a new key or change options on their keys.
The POSTed JSON can have these fields:
existing_key_id: Option<u64>,
existing_key: Option<RpcApiKey>,
key_id: Option<u64>,
description: Option<String>,
private_txs: Option<bool>,
active: Option<bool>,
@ -105,7 +104,7 @@ POST /user/keys
allowed_referers: Option<String>,
allowed_user_agents: Option<String>,
You must set **either** `existing_key_id` **or** `existing_key`.
The PUTed JSON has the same fields as the POSTed JSON, except for there is no `key_id`
If you do not want to update a field, do not include it in the POSTed JSON.
If you want to delete a string field, include the data's key and set the value to an empty string.

@ -1,6 +1,6 @@
[package]
name = "entities"
version = "0.8.0"
version = "0.9.0"
edition = "2021"
[lib]

@ -11,12 +11,13 @@ pub struct Model {
pub rpc_key_id: u64,
pub chain_id: u64,
pub method: String,
pub archive_request: bool,
pub error_response: bool,
pub period_datetime: DateTimeUtc,
pub frontend_requests: u64,
pub backend_requests: u64,
pub backend_retries: u64,
pub no_servers: u64,
// pub backend_retries: u64,
// pub no_servers: u64,
pub cache_misses: u64,
pub cache_hits: u64,
pub sum_request_bytes: u64,

@ -1,6 +1,6 @@
[package]
name = "migration"
version = "0.8.0"
version = "0.9.0"
edition = "2021"
publish = false

@ -8,6 +8,7 @@ mod m20221025_210326_add_chain_id_to_reverts;
mod m20221026_230819_rename_user_keys;
mod m20221027_002407_user_tiers;
mod m20221031_211916_clean_up;
mod m20221101_222349_archive_request;
pub struct Migrator;
@ -23,6 +24,7 @@ impl MigratorTrait for Migrator {
Box::new(m20221026_230819_rename_user_keys::Migration),
Box::new(m20221027_002407_user_tiers::Migration),
Box::new(m20221031_211916_clean_up::Migration),
Box::new(m20221101_222349_archive_request::Migration),
]
}
}

@ -0,0 +1,39 @@
use sea_orm_migration::prelude::*;
#[derive(DeriveMigrationName)]
pub struct Migration;
#[async_trait::async_trait]
impl MigrationTrait for Migration {
async fn up(&self, manager: &SchemaManager) -> Result<(), DbErr> {
manager
.alter_table(
Table::alter()
.table(Alias::new("rpc_accounting"))
.add_column(
ColumnDef::new(Alias::new("archive_request"))
.boolean()
.not_null(),
)
.drop_column(Alias::new("backend_retries"))
.drop_column(Alias::new("no_servers"))
.to_owned(),
)
.await?;
Ok(())
}
async fn down(&self, manager: &SchemaManager) -> Result<(), DbErr> {
manager
.alter_table(
Table::alter()
.table(Alias::new("rpc_accounting"))
.drop_column(Alias::new("archive_request"))
.to_owned(),
)
.await?;
Ok(())
}
}

@ -1,6 +1,6 @@
[package]
name = "web3_proxy"
version = "0.8.0"
version = "0.9.0"
edition = "2021"
default-run = "web3_proxy"
@ -28,7 +28,6 @@ axum-macros = "0.2.3"
# TODO: import chrono from sea-orm so we always have the same version
chrono = "0.4.22"
counter = "0.5.7"
dashmap = "5.4.0"
derive_more = "0.99.17"
dotenv = "0.15.0"
ethers = { version = "1.0.0", features = ["rustls", "ws"] }

@ -283,20 +283,14 @@ impl Web3ProxyApp {
// setup a channel for receiving stats (generally with a high cardinality, such as per-user)
// we do this in a channel so we don't slow down our response to the users
let stat_sender = if let Some(db_conn) = db_conn.clone() {
// TODO: sender and receiver here are a little confusing. because the thing that reads the receiver is what actually submits the stats
let (stat_sender, save_handle, stat_handle) = {
// TODO: period from config instead of always being 60 seconds
let emitter = StatEmitter::new(top_config.app.chain_id, db_conn, 60);
let emitter_spawn =
StatEmitter::spawn(top_config.app.chain_id, db_conn, 60, shutdown_receiver)?;
emitter.spawn(shutdown_receiver).await?
};
important_background_handles.push(emitter_spawn.background_handle);
cancellable_handles.push(stat_handle);
important_background_handles.push(save_handle);
Some(stat_sender)
Some(emitter_spawn.stat_sender)
} else {
warn!("cannot store stats without a redis connection");
warn!("cannot store stats without a database connection");
None
};
@ -1008,7 +1002,7 @@ impl Web3ProxyApp {
method => {
// emit stats
// TODO: wait for them to be synced?
// TODO: if no servers synced, wait for them to be synced?
let head_block_id = self
.balanced_rpcs
.head_block_id()
@ -1025,9 +1019,15 @@ impl Web3ProxyApp {
.await?
{
// TODO: maybe this should be on the app and not on balanced_rpcs
let request_block_hash =
let (request_block_hash, archive_needed) =
self.balanced_rpcs.block_hash(&request_block_needed).await?;
if archive_needed {
request_metadata
.archive_request
.store(true, atomic::Ordering::Relaxed);
}
BlockId {
num: request_block_needed,
hash: request_block_hash,

@ -1,20 +1,18 @@
use crate::frontend::authorization::{AuthorizedKey, RequestMetadata};
use crate::jsonrpc::JsonRpcForwardedResponse;
use anyhow::Context;
use chrono::{TimeZone, Utc};
use dashmap::mapref::entry::Entry;
use dashmap::DashMap;
use derive_more::From;
use entities::rpc_accounting;
use hdrhistogram::Histogram;
use moka::future::{Cache, CacheBuilder};
use sea_orm::{ActiveModelTrait, DatabaseConnection};
use std::sync::atomic::{AtomicU64, Ordering};
use hashbrown::HashMap;
use hdrhistogram::{Histogram, RecordError};
use sea_orm::{ActiveModelTrait, DatabaseConnection, DbErr};
use std::sync::atomic::Ordering;
use std::sync::Arc;
use std::time::Duration;
use tokio::sync::{broadcast, Mutex as AsyncMutex};
use std::time::{Duration, SystemTime};
use tokio::sync::broadcast;
use tokio::task::JoinHandle;
use tracing::{error, info, trace};
use tokio::time::{interval_at, Instant};
use tracing::{error, info};
/// TODO: where should this be defined?
/// TODO: can we use something inside sea_orm instead?
@ -22,18 +20,15 @@ use tracing::{error, info, trace};
pub struct ProxyResponseStat {
rpc_key_id: u64,
method: String,
period_seconds: u64,
period_timestamp: u64,
archive_request: bool,
request_bytes: u64,
/// if this is 0, there was a cache_hit
/// if backend_requests is 0, there was a cache_hit
backend_requests: u64,
error_response: bool,
response_bytes: u64,
response_millis: u64,
}
pub type TimeBucketTimestamp = u64;
pub struct ProxyResponseHistograms {
request_bytes: Histogram<u64>,
response_bytes: Histogram<u64>,
@ -55,52 +50,165 @@ impl Default for ProxyResponseHistograms {
}
}
// TODO: impl From for our database model
pub struct ProxyResponseAggregate {
// these are the key
// rpc_key_id: u64,
// method: String,
// error_response: bool,
// TODO: this is the grandparent key. get it from there somehow
period_timestamp: u64,
frontend_requests: AtomicU64,
backend_requests: AtomicU64,
backend_retries: AtomicU64,
no_servers: AtomicU64,
cache_misses: AtomicU64,
cache_hits: AtomicU64,
sum_request_bytes: AtomicU64,
sum_response_bytes: AtomicU64,
sum_response_millis: AtomicU64,
histograms: AsyncMutex<ProxyResponseHistograms>,
}
#[derive(Clone, Debug, From, Hash, PartialEq, Eq, PartialOrd, Ord)]
pub struct UserProxyResponseKey {
#[derive(Clone, From, Hash, PartialEq, Eq)]
struct ProxyResponseAggregateKey {
rpc_key_id: u64,
method: String,
error_response: bool,
archive_request: bool,
}
// TODO: think about nested maps more. does this need an arc?
pub type UserProxyResponseCache = DashMap<UserProxyResponseKey, Arc<ProxyResponseAggregate>>;
/// key is the "time bucket's timestamp" (timestamp / period * period)
pub type TimeProxyResponseCache =
Cache<TimeBucketTimestamp, UserProxyResponseCache, hashbrown::hash_map::DefaultHashBuilder>;
#[derive(Default)]
pub struct ProxyResponseAggregate {
frontend_requests: u64,
backend_requests: u64,
// TODO: related to backend_requests. get this level of detail out
// backend_retries: u64,
// TODO: related to backend_requests. get this level of detail out
// no_servers: u64,
cache_misses: u64,
cache_hits: u64,
sum_request_bytes: u64,
sum_response_bytes: u64,
sum_response_millis: u64,
histograms: ProxyResponseHistograms,
}
/// A stat that we aggregate and then store in a database.
/// For now there is just one, but I think there might be others later
#[derive(Debug, From)]
pub enum Web3ProxyStat {
Response(ProxyResponseStat),
}
#[derive(From)]
pub struct StatEmitterSpawn {
pub stat_sender: flume::Sender<Web3ProxyStat>,
/// these handles are important and must be allowed to finish
pub background_handle: JoinHandle<anyhow::Result<()>>,
}
pub struct StatEmitter {
chain_id: u64,
db_conn: DatabaseConnection,
period_seconds: u64,
/// the outer cache has a TTL and a handler for expiration
aggregated_proxy_responses: TimeProxyResponseCache,
save_rx: flume::Receiver<UserProxyResponseCache>,
}
/// A stat that we aggregate and then store in a database.
#[derive(Debug, From)]
pub enum Web3ProxyStat {
ProxyResponse(ProxyResponseStat),
// TODO: impl `+=<ProxyResponseStat>` for ProxyResponseAggregate?
impl ProxyResponseAggregate {
fn add(&mut self, stat: ProxyResponseStat) -> Result<(), RecordError> {
// a stat always come from just 1 frontend request
self.frontend_requests += 1;
if stat.backend_requests == 0 {
// no backend request. cache hit!
self.cache_hits += 1;
} else {
// backend requests! cache miss!
self.cache_misses += 1;
// a stat might have multiple backend requests
self.backend_requests += stat.backend_requests;
}
self.sum_request_bytes += stat.request_bytes;
self.sum_response_bytes += stat.response_bytes;
self.sum_response_millis += stat.response_millis;
// TODO: use `record_correct`?
self.histograms.request_bytes.record(stat.request_bytes)?;
self.histograms
.response_millis
.record(stat.response_millis)?;
self.histograms.response_bytes.record(stat.response_bytes)?;
Ok(())
}
// TODO? help to turn this plus the key into a database model?
// TODO: take a db transaction instead so that we can batch
async fn save(
self,
chain_id: u64,
db_conn: &DatabaseConnection,
key: ProxyResponseAggregateKey,
period_timestamp: u64,
) -> Result<(), DbErr> {
// this is a lot of variables
let period_datetime = Utc.timestamp(period_timestamp as i64, 0);
let request_bytes = &self.histograms.request_bytes;
let min_request_bytes = request_bytes.min();
let mean_request_bytes = request_bytes.mean();
let p50_request_bytes = request_bytes.value_at_quantile(0.50);
let p90_request_bytes = request_bytes.value_at_quantile(0.90);
let p99_request_bytes = request_bytes.value_at_quantile(0.99);
let max_request_bytes = request_bytes.max();
let response_millis = &self.histograms.response_millis;
let min_response_millis = response_millis.min();
let mean_response_millis = response_millis.mean();
let p50_response_millis = response_millis.value_at_quantile(0.50);
let p90_response_millis = response_millis.value_at_quantile(0.90);
let p99_response_millis = response_millis.value_at_quantile(0.99);
let max_response_millis = response_millis.max();
let response_bytes = &self.histograms.response_bytes;
let min_response_bytes = response_bytes.min();
let mean_response_bytes = response_bytes.mean();
let p50_response_bytes = response_bytes.value_at_quantile(0.50);
let p90_response_bytes = response_bytes.value_at_quantile(0.90);
let p99_response_bytes = response_bytes.value_at_quantile(0.99);
let max_response_bytes = response_bytes.max();
let aggregated_stat_model = rpc_accounting::ActiveModel {
id: sea_orm::NotSet,
rpc_key_id: sea_orm::Set(key.rpc_key_id),
chain_id: sea_orm::Set(chain_id),
method: sea_orm::Set(key.method),
archive_request: sea_orm::Set(key.archive_request),
error_response: sea_orm::Set(key.error_response),
period_datetime: sea_orm::Set(period_datetime),
frontend_requests: sea_orm::Set(self.frontend_requests),
backend_requests: sea_orm::Set(self.backend_requests),
// backend_retries: sea_orm::Set(self.backend_retries),
// no_servers: sea_orm::Set(self.no_servers),
cache_misses: sea_orm::Set(self.cache_misses),
cache_hits: sea_orm::Set(self.cache_hits),
sum_request_bytes: sea_orm::Set(self.sum_request_bytes),
min_request_bytes: sea_orm::Set(min_request_bytes),
mean_request_bytes: sea_orm::Set(mean_request_bytes),
p50_request_bytes: sea_orm::Set(p50_request_bytes),
p90_request_bytes: sea_orm::Set(p90_request_bytes),
p99_request_bytes: sea_orm::Set(p99_request_bytes),
max_request_bytes: sea_orm::Set(max_request_bytes),
sum_response_millis: sea_orm::Set(self.sum_response_millis),
min_response_millis: sea_orm::Set(min_response_millis),
mean_response_millis: sea_orm::Set(mean_response_millis),
p50_response_millis: sea_orm::Set(p50_response_millis),
p90_response_millis: sea_orm::Set(p90_response_millis),
p99_response_millis: sea_orm::Set(p99_response_millis),
max_response_millis: sea_orm::Set(max_response_millis),
sum_response_bytes: sea_orm::Set(self.sum_response_bytes),
min_response_bytes: sea_orm::Set(min_response_bytes),
mean_response_bytes: sea_orm::Set(mean_response_bytes),
p50_response_bytes: sea_orm::Set(p50_response_bytes),
p90_response_bytes: sea_orm::Set(p90_response_bytes),
p99_response_bytes: sea_orm::Set(p99_response_bytes),
max_response_bytes: sea_orm::Set(max_response_bytes),
};
aggregated_stat_model.save(db_conn).await?;
Ok(())
}
}
impl ProxyResponseStat {
@ -116,10 +224,11 @@ impl ProxyResponseStat {
.expect("serializing here should always work")
.len() as u64;
let archive_request = metadata.archive_request.load(Ordering::Acquire);
let backend_requests = metadata.backend_requests.load(Ordering::Acquire);
let period_seconds = metadata.period_seconds;
let period_timestamp =
(metadata.start_datetime.timestamp() as u64) / period_seconds * period_seconds;
// let period_seconds = metadata.period_seconds;
// let period_timestamp =
// (metadata.start_datetime.timestamp() as u64) / period_seconds * period_seconds;
let request_bytes = metadata.request_bytes;
let error_response = metadata.error_response.load(Ordering::Acquire);
@ -128,96 +237,116 @@ impl ProxyResponseStat {
Self {
rpc_key_id: authorized_key.rpc_key_id,
archive_request,
method,
backend_requests,
period_seconds,
period_timestamp,
request_bytes,
error_response,
response_bytes,
response_millis,
}
}
fn key(&self) -> ProxyResponseAggregateKey {
ProxyResponseAggregateKey {
rpc_key_id: self.rpc_key_id,
method: self.method.clone(),
error_response: self.error_response,
archive_request: self.archive_request,
}
}
}
impl StatEmitter {
pub fn new(chain_id: u64, db_conn: DatabaseConnection, period_seconds: u64) -> Arc<Self> {
let (save_tx, save_rx) = flume::unbounded();
pub fn spawn(
chain_id: u64,
db_conn: DatabaseConnection,
period_seconds: u64,
shutdown_receiver: broadcast::Receiver<()>,
) -> anyhow::Result<StatEmitterSpawn> {
let (stat_sender, stat_receiver) = flume::unbounded();
// this needs to be long enough that there are definitely no outstanding queries
// TODO: what should the "safe" multiplier be? what if something is late?
// TODO: in most cases this delays more than necessary. think of how to do this without dashmap which might let us proceed
let ttl_seconds = period_seconds * 3;
let aggregated_proxy_responses = CacheBuilder::default()
.time_to_live(Duration::from_secs(ttl_seconds))
.eviction_listener_with_queued_delivery_mode(move |_, v, _| {
// this function must not panic!
if let Err(err) = save_tx.send(v) {
error!(?err, "unable to save. sender closed!");
}
})
.build_with_hasher(hashbrown::hash_map::DefaultHashBuilder::new());
let s = Self {
let mut new = Self {
chain_id,
db_conn,
period_seconds,
aggregated_proxy_responses,
save_rx,
};
Arc::new(s)
let handle =
tokio::spawn(async move { new.stat_loop(stat_receiver, shutdown_receiver).await });
Ok((stat_sender, handle).into())
}
pub async fn spawn(
self: Arc<Self>,
shutdown_receiver: broadcast::Receiver<()>,
) -> anyhow::Result<(
flume::Sender<Web3ProxyStat>,
JoinHandle<anyhow::Result<()>>,
JoinHandle<anyhow::Result<()>>,
)> {
let (aggregate_tx, aggregate_rx) = flume::unbounded::<Web3ProxyStat>();
// TODO: join and flatten these handles
let aggregate_handle = tokio::spawn(
self.clone()
.aggregate_stats_loop(aggregate_rx, shutdown_receiver),
);
let save_handle = tokio::spawn(self.save_stats_loop());
Ok((aggregate_tx, aggregate_handle, save_handle))
}
/// simple future that reads the channel and aggregates stats in a local cache.
async fn aggregate_stats_loop(
self: Arc<Self>,
aggregate_rx: flume::Receiver<Web3ProxyStat>,
async fn stat_loop(
&mut self,
stat_receiver: flume::Receiver<Web3ProxyStat>,
mut shutdown_receiver: broadcast::Receiver<()>,
) -> anyhow::Result<()> {
let system_now = SystemTime::now();
let duration_since_epoch = system_now
.duration_since(SystemTime::UNIX_EPOCH)
.expect("time machines don't exist");
// TODO: change period_seconds from u64 to u32
let current_period = duration_since_epoch
.checked_div(self.period_seconds as u32)
.unwrap()
* self.period_seconds as u32;
let duration_to_next_period =
Duration::from_secs(self.period_seconds) - (duration_since_epoch - current_period);
// start the interval when the next period starts
let start_instant = Instant::now() + duration_to_next_period;
let mut interval = interval_at(start_instant, Duration::from_secs(self.period_seconds));
// loop between different futures to update these mutables
let mut period_timestamp = current_period.as_secs();
let mut response_aggregate_map =
HashMap::<ProxyResponseAggregateKey, ProxyResponseAggregate>::new();
loop {
tokio::select! {
x = aggregate_rx.recv_async() => {
match x {
Ok(x) => {
trace!(?x, "aggregating stat");
stat = stat_receiver.recv_async() => {
match stat? {
Web3ProxyStat::Response(stat) => {
let key = stat.key();
// TODO: increment global stats (in redis? in local cache for prometheus?)
// TODO: does hashmap have get_or_insert?
if ! response_aggregate_map.contains_key(&key) {
response_aggregate_map.insert(key.clone(), Default::default());
};
// TODO: batch stats?
// TODO: where can we wait on this handle?
let clone = self.clone();
tokio::spawn(async move { clone.aggregate_stat(x).await });
},
Err(err) => {
error!(?err, "aggregate_rx");
if let Some(value) = response_aggregate_map.get_mut(&key) {
if let Err(err) = value.add(stat) {
error!(?err, "unable to aggregate stats!");
};
} else {
unimplemented!();
}
}
}
}
_ = interval.tick() => {
// save all the aggregated stats
// TODO: batch these saves
for (key, aggregate) in response_aggregate_map.drain() {
if let Err(err) = aggregate.save(self.chain_id, &self.db_conn, key, period_timestamp).await {
error!(?err, "Unable to save stat while shutting down!");
};
}
// advance to the next period
// TODO: is this safe? what if there is drift?
period_timestamp += self.period_seconds;
}
x = shutdown_receiver.recv() => {
match x {
Ok(_) => info!("aggregate stats loop shutting down"),
Ok(_) => {
info!("aggregate stat_loop shutting down");
// TODO: call aggregate_stat for all the
},
Err(err) => error!(?err, "shutdown receiver"),
}
break;
@ -225,210 +354,16 @@ impl StatEmitter {
}
}
// shutting down. force a save of any pending stats
// we do not use invalidate_all because that is done on a background thread
for (key, _) in self.aggregated_proxy_responses.into_iter() {
self.aggregated_proxy_responses.invalidate(&key).await;
for (key, aggregate) in response_aggregate_map.drain() {
if let Err(err) = aggregate
.save(self.chain_id, &self.db_conn, key, period_timestamp)
.await
{
error!(?err, "Unable to save stat while shutting down!");
};
}
info!("aggregate stats loop finished");
Ok(())
}
async fn save_stats_loop(self: Arc<Self>) -> anyhow::Result<()> {
while let Ok(x) = self.save_rx.recv_async().await {
// TODO: batch these
for (k, v) in x.into_iter() {
// TODO: this is a lot of variables
let period_datetime = Utc.timestamp(v.period_timestamp as i64, 0);
let frontend_requests = v.frontend_requests.load(Ordering::Acquire);
let backend_requests = v.backend_requests.load(Ordering::Acquire);
let backend_retries = v.backend_retries.load(Ordering::Acquire);
let no_servers = v.no_servers.load(Ordering::Acquire);
let cache_misses = v.cache_misses.load(Ordering::Acquire);
let cache_hits = v.cache_hits.load(Ordering::Acquire);
let sum_request_bytes = v.sum_request_bytes.load(Ordering::Acquire);
let sum_response_millis = v.sum_response_millis.load(Ordering::Acquire);
let sum_response_bytes = v.sum_response_bytes.load(Ordering::Acquire);
let histograms = v.histograms.lock().await;
let request_bytes = &histograms.request_bytes;
let min_request_bytes = request_bytes.min();
let mean_request_bytes = request_bytes.mean();
let p50_request_bytes = request_bytes.value_at_quantile(0.50);
let p90_request_bytes = request_bytes.value_at_quantile(0.90);
let p99_request_bytes = request_bytes.value_at_quantile(0.99);
let max_request_bytes = request_bytes.max();
let response_millis = &histograms.response_millis;
let min_response_millis = response_millis.min();
let mean_response_millis = response_millis.mean();
let p50_response_millis = response_millis.value_at_quantile(0.50);
let p90_response_millis = response_millis.value_at_quantile(0.90);
let p99_response_millis = response_millis.value_at_quantile(0.99);
let max_response_millis = response_millis.max();
let response_bytes = &histograms.response_bytes;
let min_response_bytes = response_bytes.min();
let mean_response_bytes = response_bytes.mean();
let p50_response_bytes = response_bytes.value_at_quantile(0.50);
let p90_response_bytes = response_bytes.value_at_quantile(0.90);
let p99_response_bytes = response_bytes.value_at_quantile(0.99);
let max_response_bytes = response_bytes.max();
drop(histograms);
let stat = rpc_accounting::ActiveModel {
id: sea_orm::NotSet,
rpc_key_id: sea_orm::Set(k.rpc_key_id),
chain_id: sea_orm::Set(self.chain_id),
method: sea_orm::Set(k.method.clone()),
error_response: sea_orm::Set(k.error_response),
period_datetime: sea_orm::Set(period_datetime),
frontend_requests: sea_orm::Set(frontend_requests),
backend_requests: sea_orm::Set(backend_requests),
backend_retries: sea_orm::Set(backend_retries),
no_servers: sea_orm::Set(no_servers),
cache_misses: sea_orm::Set(cache_misses),
cache_hits: sea_orm::Set(cache_hits),
sum_request_bytes: sea_orm::Set(sum_request_bytes),
min_request_bytes: sea_orm::Set(min_request_bytes),
mean_request_bytes: sea_orm::Set(mean_request_bytes),
p50_request_bytes: sea_orm::Set(p50_request_bytes),
p90_request_bytes: sea_orm::Set(p90_request_bytes),
p99_request_bytes: sea_orm::Set(p99_request_bytes),
max_request_bytes: sea_orm::Set(max_request_bytes),
sum_response_millis: sea_orm::Set(sum_response_millis),
min_response_millis: sea_orm::Set(min_response_millis),
mean_response_millis: sea_orm::Set(mean_response_millis),
p50_response_millis: sea_orm::Set(p50_response_millis),
p90_response_millis: sea_orm::Set(p90_response_millis),
p99_response_millis: sea_orm::Set(p99_response_millis),
max_response_millis: sea_orm::Set(max_response_millis),
sum_response_bytes: sea_orm::Set(sum_response_bytes),
min_response_bytes: sea_orm::Set(min_response_bytes),
mean_response_bytes: sea_orm::Set(mean_response_bytes),
p50_response_bytes: sea_orm::Set(p50_response_bytes),
p90_response_bytes: sea_orm::Set(p90_response_bytes),
p99_response_bytes: sea_orm::Set(p99_response_bytes),
max_response_bytes: sea_orm::Set(max_response_bytes),
};
// TODO: if this fails, rever adding the user, too
if let Err(err) = stat
.save(&self.db_conn)
.await
.context("Saving rpc_accounting stat")
{
error!(?err, "unable to save aggregated stats");
}
}
}
info!("stat saver exited");
Ok(())
}
pub async fn aggregate_stat(&self, stat: Web3ProxyStat) -> anyhow::Result<()> {
trace!(?stat, "aggregating");
match stat {
Web3ProxyStat::ProxyResponse(stat) => {
// TODO: move this whole closure to another function?
debug_assert_eq!(stat.period_seconds, self.period_seconds);
// get the user cache for the current period
// TODO: i don't think this works right. maybe do DashMap entry api as the outer variable
let user_cache = self
.aggregated_proxy_responses
.get_with_by_ref(&stat.period_timestamp, async move { Default::default() })
.await;
let key = (stat.rpc_key_id, stat.method, stat.error_response).into();
let user_aggregate = match user_cache.entry(key) {
Entry::Occupied(x) => x.get().clone(),
Entry::Vacant(y) => {
let histograms = ProxyResponseHistograms::default();
// TODO: create a counter here that we use to tell when it is safe to flush these? faster than waiting 3 periods
let aggregate = ProxyResponseAggregate {
period_timestamp: stat.period_timestamp,
// start most things at 0 because we add outside this getter
frontend_requests: 0.into(),
backend_requests: 0.into(),
backend_retries: 0.into(),
no_servers: 0.into(),
cache_misses: 0.into(),
cache_hits: 0.into(),
sum_request_bytes: 0.into(),
sum_response_bytes: 0.into(),
sum_response_millis: 0.into(),
histograms: AsyncMutex::new(histograms),
};
// TODO: store this arc in the map
// TODO: does this have a race condition?
let aggregate = Arc::new(aggregate);
y.insert(aggregate.clone());
aggregate
}
};
// a stat always come from just 1 frontend request
user_aggregate
.frontend_requests
.fetch_add(1, Ordering::Acquire);
if stat.backend_requests == 0 {
// no backend request. cache hit!
user_aggregate.cache_hits.fetch_add(1, Ordering::Acquire);
} else {
// backend requests! cache miss!
user_aggregate.cache_misses.fetch_add(1, Ordering::Acquire);
// a stat might have multiple backend requests
user_aggregate
.backend_requests
.fetch_add(stat.backend_requests, Ordering::Acquire);
}
user_aggregate
.sum_request_bytes
.fetch_add(stat.request_bytes, Ordering::Release);
user_aggregate
.sum_response_bytes
.fetch_add(stat.response_bytes, Ordering::Release);
user_aggregate
.sum_response_millis
.fetch_add(stat.response_millis, Ordering::Release);
{
let mut histograms = user_aggregate.histograms.lock().await;
// TODO: use `record_correct`?
histograms.request_bytes.record(stat.request_bytes)?;
histograms.response_millis.record(stat.response_millis)?;
histograms.response_bytes.record(stat.response_bytes)?;
}
}
}
info!("aggregated stat_loop shut down");
Ok(())
}

@ -0,0 +1,461 @@
use crate::frontend::authorization::{AuthorizedKey, RequestMetadata};
use crate::jsonrpc::JsonRpcForwardedResponse;
use anyhow::Context;
use chrono::{TimeZone, Utc};
use dashmap::mapref::entry::Entry;
use dashmap::DashMap;
use derive_more::From;
use entities::rpc_accounting;
use hdrhistogram::Histogram;
use moka::future::{Cache, CacheBuilder, ConcurrentCacheExt};
use sea_orm::{ActiveModelTrait, DatabaseConnection};
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::Arc;
use std::time::Duration;
use tokio::sync::{broadcast, Mutex as AsyncMutex};
use tokio::task::JoinHandle;
use tracing::{error, info, trace};
/// TODO: where should this be defined?
/// TODO: can we use something inside sea_orm instead?
#[derive(Debug)]
pub struct ProxyResponseStat {
rpc_key_id: u64,
method: String,
archive_request: bool,
period_seconds: u64,
period_timestamp: u64,
request_bytes: u64,
/// if backend_requests is 0, there was a cache_hit
backend_requests: u64,
error_response: bool,
response_bytes: u64,
response_millis: u64,
}
pub type TimeBucketTimestamp = u64;
pub struct ProxyResponseHistograms {
request_bytes: Histogram<u64>,
response_bytes: Histogram<u64>,
response_millis: Histogram<u64>,
}
impl Default for ProxyResponseHistograms {
fn default() -> Self {
// TODO: how many significant figures?
let request_bytes = Histogram::new(5).expect("creating request_bytes histogram");
let response_bytes = Histogram::new(5).expect("creating response_bytes histogram");
let response_millis = Histogram::new(5).expect("creating response_millis histogram");
Self {
request_bytes,
response_bytes,
response_millis,
}
}
}
// TODO: impl From for our database model
pub struct ProxyResponseAggregate {
// these are the key
// rpc_key_id: u64,
// method: String,
// error_response: bool,
// TODO: this is the grandparent key. get it from there somehow
period_timestamp: u64,
archive_request: bool,
frontend_requests: AtomicU64,
backend_requests: AtomicU64,
backend_retries: AtomicU64,
no_servers: AtomicU64,
cache_misses: AtomicU64,
cache_hits: AtomicU64,
sum_request_bytes: AtomicU64,
sum_response_bytes: AtomicU64,
sum_response_millis: AtomicU64,
histograms: AsyncMutex<ProxyResponseHistograms>,
}
#[derive(Clone, Debug, From, Hash, PartialEq, Eq, PartialOrd, Ord)]
pub struct UserProxyResponseKey {
rpc_key_id: u64,
method: String,
error_response: bool,
}
// TODO: think about nested maps more. does this need an arc?
pub type UserProxyResponseCache = Arc<DashMap<UserProxyResponseKey, Arc<ProxyResponseAggregate>>>;
/// key is the "time bucket's timestamp" (timestamp / period * period)
pub type TimeProxyResponseCache =
Cache<TimeBucketTimestamp, UserProxyResponseCache, hashbrown::hash_map::DefaultHashBuilder>;
pub struct StatEmitter {
chain_id: u64,
db_conn: DatabaseConnection,
period_seconds: u64,
/// the outer cache has a TTL and a handler for expiration
aggregated_proxy_responses: TimeProxyResponseCache,
save_rx: flume::Receiver<UserProxyResponseCache>,
}
/// A stat that we aggregate and then store in a database.
#[derive(Debug, From)]
pub enum Web3ProxyStat {
Response(ProxyResponseStat),
}
impl ProxyResponseStat {
// TODO: should RequestMetadata be in an arc? or can we handle refs here?
pub fn new(
method: String,
authorized_key: AuthorizedKey,
metadata: Arc<RequestMetadata>,
response: &JsonRpcForwardedResponse,
) -> Self {
// TODO: do this without serializing to a string. this is going to slow us down!
let response_bytes = serde_json::to_string(response)
.expect("serializing here should always work")
.len() as u64;
let archive_request = metadata.archive_request.load(Ordering::Acquire);
let backend_requests = metadata.backend_requests.load(Ordering::Acquire);
let period_seconds = metadata.period_seconds;
let period_timestamp =
(metadata.start_datetime.timestamp() as u64) / period_seconds * period_seconds;
let request_bytes = metadata.request_bytes;
let error_response = metadata.error_response.load(Ordering::Acquire);
// TODO: timestamps could get confused by leap seconds. need tokio time instead
let response_millis = metadata.start_instant.elapsed().as_millis() as u64;
Self {
rpc_key_id: authorized_key.rpc_key_id,
archive_request,
method,
backend_requests,
period_seconds,
period_timestamp,
request_bytes,
error_response,
response_bytes,
response_millis,
}
}
}
impl StatEmitter {
pub fn new(chain_id: u64, db_conn: DatabaseConnection, period_seconds: u64) -> Arc<Self> {
let (save_tx, save_rx) = flume::unbounded();
// this needs to be long enough that there are definitely no outstanding queries
// TODO: what should the "safe" multiplier be? what if something is late?
// TODO: in most cases this delays more than necessary. think of how to do this without dashmap which might let us proceed
let ttl_seconds = period_seconds * 3;
let aggregated_proxy_responses = CacheBuilder::default()
.time_to_live(Duration::from_secs(ttl_seconds))
.eviction_listener_with_queued_delivery_mode(move |_, v, _| {
// this function must not panic!
if let Err(err) = save_tx.send(v) {
error!(?err, "unable to save. sender closed!");
}
})
.build_with_hasher(hashbrown::hash_map::DefaultHashBuilder::new());
let s = Self {
chain_id,
db_conn,
period_seconds,
aggregated_proxy_responses,
save_rx,
};
Arc::new(s)
}
pub async fn spawn(
self: Arc<Self>,
shutdown_receiver: broadcast::Receiver<()>,
) -> anyhow::Result<(
flume::Sender<Web3ProxyStat>,
JoinHandle<anyhow::Result<()>>,
JoinHandle<anyhow::Result<()>>,
)> {
let (aggregate_tx, aggregate_rx) = flume::unbounded::<Web3ProxyStat>();
let (finished_tx, finished_rx) = flume::bounded(1);
let aggregate_handle = tokio::spawn(self.clone().aggregate_stats_loop(
aggregate_rx,
shutdown_receiver,
finished_rx,
));
let save_handle = tokio::spawn(self.save_stats_loop(finished_tx));
Ok((aggregate_tx, aggregate_handle, save_handle))
}
/// simple future that reads the channel and aggregates stats in a local cache.
async fn aggregate_stats_loop(
self: Arc<Self>,
aggregate_rx: flume::Receiver<Web3ProxyStat>,
mut shutdown_receiver: broadcast::Receiver<()>,
finished_rx: flume::Receiver<()>,
) -> anyhow::Result<()> {
loop {
tokio::select! {
x = aggregate_rx.recv_async() => {
match x {
Ok(x) => {
trace!(?x, "aggregating stat");
// TODO: increment global stats (in redis? in local cache for prometheus?)
// TODO: batch stats?
// TODO: where can we wait on this handle?
let clone = self.clone();
tokio::spawn(async move { clone.aggregate_stat(x).await });
},
Err(err) => {
error!(?err, "aggregate_rx");
}
}
}
x = shutdown_receiver.recv() => {
match x {
Ok(_) => {
info!("aggregate stats loop shutting down");
// TODO: call aggregate_stat for all the
},
Err(err) => error!(?err, "shutdown receiver"),
}
break;
}
}
}
// shutting down. force a save of any pending stats
// we do not use invalidate_all because that is done on a background thread
// TODO: i don't think this works
for (key, _) in self.aggregated_proxy_responses.into_iter() {
// TODO: call drain or remove or something instead?
self.aggregated_proxy_responses.invalidate(&key).await;
}
self.aggregated_proxy_responses.sync();
todo!("drop self.aggregated_proxy_responses");
// TODO: timeout on this?
finished_rx.recv_async().await?;
info!("aggregate stats loop finished");
Ok(())
}
async fn save_stats_loop(
self: Arc<Self>,
finished_tx: flume::Sender<()>,
) -> anyhow::Result<()> {
while let Ok(x) = self.save_rx.recv_async().await {
// TODO: batch these
// TODO: i'm not seeing these on shutdown
for x in x.iter() {
let k = x.key();
let v = x.value();
// TODO: this is a lot of variables
let period_datetime = Utc.timestamp(v.period_timestamp as i64, 0);
let frontend_requests = v.frontend_requests.load(Ordering::Acquire);
let backend_requests = v.backend_requests.load(Ordering::Acquire);
let backend_retries = v.backend_retries.load(Ordering::Acquire);
let no_servers = v.no_servers.load(Ordering::Acquire);
let cache_misses = v.cache_misses.load(Ordering::Acquire);
let cache_hits = v.cache_hits.load(Ordering::Acquire);
let sum_request_bytes = v.sum_request_bytes.load(Ordering::Acquire);
let sum_response_millis = v.sum_response_millis.load(Ordering::Acquire);
let sum_response_bytes = v.sum_response_bytes.load(Ordering::Acquire);
let histograms = v.histograms.lock().await;
let request_bytes = &histograms.request_bytes;
let min_request_bytes = request_bytes.min();
let mean_request_bytes = request_bytes.mean();
let p50_request_bytes = request_bytes.value_at_quantile(0.50);
let p90_request_bytes = request_bytes.value_at_quantile(0.90);
let p99_request_bytes = request_bytes.value_at_quantile(0.99);
let max_request_bytes = request_bytes.max();
let response_millis = &histograms.response_millis;
let min_response_millis = response_millis.min();
let mean_response_millis = response_millis.mean();
let p50_response_millis = response_millis.value_at_quantile(0.50);
let p90_response_millis = response_millis.value_at_quantile(0.90);
let p99_response_millis = response_millis.value_at_quantile(0.99);
let max_response_millis = response_millis.max();
let response_bytes = &histograms.response_bytes;
let min_response_bytes = response_bytes.min();
let mean_response_bytes = response_bytes.mean();
let p50_response_bytes = response_bytes.value_at_quantile(0.50);
let p90_response_bytes = response_bytes.value_at_quantile(0.90);
let p99_response_bytes = response_bytes.value_at_quantile(0.99);
let max_response_bytes = response_bytes.max();
drop(histograms);
let stat = rpc_accounting::ActiveModel {
id: sea_orm::NotSet,
rpc_key_id: sea_orm::Set(k.rpc_key_id),
chain_id: sea_orm::Set(self.chain_id),
method: sea_orm::Set(k.method.clone()),
archive_request: sea_orm::Set(v.archive_request),
error_response: sea_orm::Set(k.error_response),
period_datetime: sea_orm::Set(period_datetime),
frontend_requests: sea_orm::Set(frontend_requests),
backend_requests: sea_orm::Set(backend_requests),
backend_retries: sea_orm::Set(backend_retries),
no_servers: sea_orm::Set(no_servers),
cache_misses: sea_orm::Set(cache_misses),
cache_hits: sea_orm::Set(cache_hits),
sum_request_bytes: sea_orm::Set(sum_request_bytes),
min_request_bytes: sea_orm::Set(min_request_bytes),
mean_request_bytes: sea_orm::Set(mean_request_bytes),
p50_request_bytes: sea_orm::Set(p50_request_bytes),
p90_request_bytes: sea_orm::Set(p90_request_bytes),
p99_request_bytes: sea_orm::Set(p99_request_bytes),
max_request_bytes: sea_orm::Set(max_request_bytes),
sum_response_millis: sea_orm::Set(sum_response_millis),
min_response_millis: sea_orm::Set(min_response_millis),
mean_response_millis: sea_orm::Set(mean_response_millis),
p50_response_millis: sea_orm::Set(p50_response_millis),
p90_response_millis: sea_orm::Set(p90_response_millis),
p99_response_millis: sea_orm::Set(p99_response_millis),
max_response_millis: sea_orm::Set(max_response_millis),
sum_response_bytes: sea_orm::Set(sum_response_bytes),
min_response_bytes: sea_orm::Set(min_response_bytes),
mean_response_bytes: sea_orm::Set(mean_response_bytes),
p50_response_bytes: sea_orm::Set(p50_response_bytes),
p90_response_bytes: sea_orm::Set(p90_response_bytes),
p99_response_bytes: sea_orm::Set(p99_response_bytes),
max_response_bytes: sea_orm::Set(max_response_bytes),
};
// TODO: if this fails, what should we do?
if let Err(err) = stat
.save(&self.db_conn)
.await
.context("Saving rpc_accounting stat")
{
error!(?err, "unable to save aggregated stats");
} else {
trace!("stat saved");
}
}
}
info!("stat saver exited");
finished_tx.send_async(()).await?;
Ok(())
}
pub async fn aggregate_stat(&self, stat: Web3ProxyStat) -> anyhow::Result<()> {
match stat {
Web3ProxyStat::Response(stat) => {
// TODO: move this whole closure to another function?
debug_assert_eq!(stat.period_seconds, self.period_seconds);
// get the user cache for the current period
// TODO: i don't think this works right. maybe do DashMap entry api as the outer variable
let user_cache = self
.aggregated_proxy_responses
.get_with(stat.period_timestamp, async move { Default::default() })
.await;
let key = (stat.rpc_key_id, stat.method, stat.error_response).into();
let user_aggregate = match user_cache.entry(key) {
Entry::Occupied(x) => x.get().clone(),
Entry::Vacant(y) => {
let histograms = ProxyResponseHistograms::default();
// TODO: create a counter here that we use to tell when it is safe to flush these? faster than waiting 3 periods
let aggregate = ProxyResponseAggregate {
period_timestamp: stat.period_timestamp,
archive_request: stat.archive_request,
// start most things at 0 because we add outside this getter
frontend_requests: 0.into(),
backend_requests: 0.into(),
backend_retries: 0.into(),
no_servers: 0.into(),
cache_misses: 0.into(),
cache_hits: 0.into(),
sum_request_bytes: 0.into(),
sum_response_bytes: 0.into(),
sum_response_millis: 0.into(),
histograms: AsyncMutex::new(histograms),
};
let aggregate = Arc::new(aggregate);
y.insert(aggregate).clone()
}
};
// a stat always come from just 1 frontend request
user_aggregate
.frontend_requests
.fetch_add(1, Ordering::Acquire);
if stat.backend_requests == 0 {
// no backend request. cache hit!
user_aggregate.cache_hits.fetch_add(1, Ordering::Acquire);
} else {
// backend requests! cache miss!
user_aggregate.cache_misses.fetch_add(1, Ordering::Acquire);
// a stat might have multiple backend requests
user_aggregate
.backend_requests
.fetch_add(stat.backend_requests, Ordering::Acquire);
}
user_aggregate
.sum_request_bytes
.fetch_add(stat.request_bytes, Ordering::Release);
user_aggregate
.sum_response_bytes
.fetch_add(stat.response_bytes, Ordering::Release);
user_aggregate
.sum_response_millis
.fetch_add(stat.response_millis, Ordering::Release);
{
let mut histograms = user_aggregate.histograms.lock().await;
// TODO: use `record_correct`?
histograms.request_bytes.record(stat.request_bytes)?;
histograms.response_millis.record(stat.response_millis)?;
histograms.response_bytes.record(stat.response_bytes)?;
}
}
}
Ok(())
}
}

@ -65,6 +65,8 @@ pub struct RequestMetadata {
// TODO: better name for this
pub period_seconds: u64,
pub request_bytes: u64,
// TODO: "archive" isn't really a boolean.
pub archive_request: AtomicBool,
/// if this is 0, there was a cache_hit
pub backend_requests: AtomicU64,
pub no_servers: AtomicU64,
@ -96,6 +98,7 @@ impl RequestMetadata {
start_datetime: Utc::now(),
period_seconds,
request_bytes,
archive_request: false.into(),
backend_requests: 0.into(),
no_servers: 0.into(),
error_response: false.into(),

@ -14,7 +14,7 @@ use redis_rate_limiter::redis::RedisError;
use reqwest::header::ToStrError;
use sea_orm::DbErr;
use std::{error::Error, net::IpAddr};
use tokio::time::Instant;
use tokio::{task::JoinError, time::Instant};
use tracing::{instrument, trace, warn};
// TODO: take "IntoResponse" instead of Response?
@ -30,6 +30,7 @@ pub enum FrontendErrorResponse {
HeaderToString(ToStrError),
InvalidHeaderValue(InvalidHeaderValue),
IpAddrParse(AddrParseError),
JoinError(JoinError),
NotFound,
RateLimitedUser(UserKeyData, Option<Instant>),
RateLimitedIp(IpAddr, Option<Instant>),
@ -114,6 +115,17 @@ impl IntoResponse for FrontendErrorResponse {
),
)
}
Self::JoinError(err) => {
warn!(?err, "JoinError. likely shutting down");
(
StatusCode::INTERNAL_SERVER_ERROR,
JsonRpcForwardedResponse::from_str(
"Unable to complete request",
Some(StatusCode::INTERNAL_SERVER_ERROR.as_u16().into()),
None,
),
)
}
Self::NotFound => {
// TODO: emit a stat?
// TODO: instead of an error, show a normal html page for 404

@ -87,7 +87,8 @@ pub async fn proxy_web3_rpc_with_key(
.await
});
let response = f.await.expect("JoinHandle should always work")?;
// if this is an error, we are likely shutting down
let response = f.await??;
Ok(Json(&response).into_response())
}

@ -139,25 +139,30 @@ impl Web3Connections {
}
/// Convenience method to get the cannonical block at a given block height.
pub async fn block_hash(&self, num: &U64) -> anyhow::Result<H256> {
let block = self.cannonical_block(num).await?;
pub async fn block_hash(&self, num: &U64) -> anyhow::Result<(H256, bool)> {
let (block, is_archive_block) = self.cannonical_block(num).await?;
let hash = block.hash.unwrap();
let hash = block.hash.expect("Saved blocks should always have hashes");
Ok(hash)
Ok((hash, is_archive_block))
}
/// Get the heaviest chain's block from cache or backend rpc
pub async fn cannonical_block(&self, num: &U64) -> anyhow::Result<ArcBlock> {
pub async fn cannonical_block(&self, num: &U64) -> anyhow::Result<(ArcBlock, bool)> {
// we only have blocks by hash now
// maybe save them during save_block in a blocks_by_number Cache<U64, Vec<ArcBlock>>
// if theres multiple, use petgraph to find the one on the main chain (and remove the others if they have enough confirmations)
// be sure the requested block num exists
let head_block_num = self.head_block_num().context("no servers in sync")?;
// TODO: not 64 on all chains? get from config?
let archive_needed = num < &(head_block_num - U64::from(64));
if num > &head_block_num {
// TODO: i'm seeing this a lot when using ethspam. i dont know why though. i thought we delayed publishing
// TODO: instead of error, maybe just sleep and try again?
// TODO: this should be a 401, not a 500
return Err(anyhow::anyhow!(
"Head block is #{}, but #{} was requested",
head_block_num,
@ -170,7 +175,9 @@ impl Web3Connections {
if let Some(block_hash) = self.block_numbers.get(num) {
// TODO: sometimes this needs to fetch the block. why? i thought block_numbers would only be set if the block hash was set
// TODO: pass authorized_request through here?
return self.block(None, &block_hash, None).await;
let block = self.block(None, &block_hash, None).await?;
return Ok((block, archive_needed));
}
// block number not in cache. we need to ask an rpc for it
@ -193,7 +200,7 @@ impl Web3Connections {
// the block was fetched using eth_getBlockByNumber, so it should have all fields and be on the heaviest chain
self.save_block(&block, true).await?;
Ok(block)
Ok((block, true))
}
pub(super) async fn process_incoming_blocks(

@ -384,7 +384,7 @@ impl Web3Connection {
// if we already have this block saved, set new_head_block to that arc. otherwise store this copy
new_head_block = block_map
.get_with_by_ref(&new_hash, async move { new_head_block })
.get_with(new_hash, async move { new_head_block })
.await;
let new_num = new_head_block.number.unwrap_or_default();

@ -204,15 +204,15 @@ pub async fn get_aggregate_rpc_stats_from_params(
rpc_accounting::Column::FrontendRequests.sum(),
"total_requests",
)
.column_as(
rpc_accounting::Column::BackendRequests.sum(),
"total_backend_retries",
)
.column_as(
rpc_accounting::Column::CacheMisses.sum(),
"total_cache_misses",
)
.column_as(rpc_accounting::Column::CacheHits.sum(), "total_cache_hits")
.column_as(
rpc_accounting::Column::BackendRetries.sum(),
"total_backend_retries",
)
.column_as(
rpc_accounting::Column::SumResponseBytes.sum(),
"total_response_bytes",
@ -355,15 +355,15 @@ pub async fn get_detailed_stats(
rpc_accounting::Column::FrontendRequests.sum(),
"total_requests",
)
.column_as(
rpc_accounting::Column::BackendRequests.sum(),
"total_backend_requests",
)
.column_as(
rpc_accounting::Column::CacheMisses.sum(),
"total_cache_misses",
)
.column_as(rpc_accounting::Column::CacheHits.sum(), "total_cache_hits")
.column_as(
rpc_accounting::Column::BackendRetries.sum(),
"total_backend_retries",
)
.column_as(
rpc_accounting::Column::SumResponseBytes.sum(),
"total_response_bytes",