Move avalanche simulator to integration tests

This commit is contained in:
Greg Fitzgerald 2019-02-18 09:46:30 -07:00 committed by Grimes
parent 7d62bf9a3d
commit 1c3f2bba6d
2 changed files with 210 additions and 204 deletions

View File

@ -31,7 +31,7 @@ use std::time::Duration;
/// 1 - also check if there are nodes in lower layers and repeat the layer 1 to layer 2 logic
/// Returns Neighbor Nodes and Children Nodes `(neighbors, children)` for a given node based on its stake (Bank Balance)
fn compute_retransmit_peers(
pub fn compute_retransmit_peers(
bank: &Arc<Bank>,
cluster_info: &Arc<RwLock<ClusterInfo>>,
fanout: usize,
@ -204,211 +204,9 @@ impl Service for RetransmitStage {
}
}
// Recommended to not run these tests in parallel (they are resource heavy and want all the compute)
#[cfg(test)]
mod tests {
use super::*;
use crate::cluster_info::ClusterInfo;
use crate::contact_info::ContactInfo;
use crate::genesis_block::GenesisBlock;
use rayon::iter::{IntoParallelIterator, ParallelIterator};
use rayon::prelude::*;
use solana_sdk::pubkey::Pubkey;
use solana_sdk::signature::{Keypair, KeypairUtil};
use std::collections::{HashMap, HashSet};
use std::sync::mpsc::TryRecvError;
use std::sync::mpsc::{Receiver, Sender};
use std::sync::Mutex;
use std::time::Instant;
type Nodes = HashMap<Pubkey, (HashSet<i32>, Receiver<(i32, bool)>)>;
fn num_threads() -> usize {
sys_info::cpu_num().unwrap_or(10) as usize
}
/// Search for the a node with the given balance
fn find_insert_blob(id: &Pubkey, blob: i32, batches: &mut [Nodes]) {
batches.par_iter_mut().for_each(|batch| {
if batch.contains_key(id) {
let _ = batch.get_mut(id).unwrap().0.insert(blob);
}
});
}
fn run_simulation(num_nodes: u64, fanout: usize, hood_size: usize) {
let num_threads = num_threads();
// set timeout to 5 minutes
let timeout = 60 * 5;
// math yo
let required_balance = num_nodes * (num_nodes + 1) / 2;
// create a genesis block
let (genesis_block, mint_keypair) = GenesisBlock::new(required_balance);
// describe the leader
let leader_info = ContactInfo::new_localhost(Keypair::new().pubkey(), 0);
let mut cluster_info = ClusterInfo::new(leader_info.clone());
cluster_info.set_leader(leader_info.id);
// create a bank
let bank = Arc::new(Bank::new(&genesis_block));
// setup accounts for all nodes (leader has 0 bal)
let (s, r) = channel();
let senders: Arc<Mutex<HashMap<Pubkey, Sender<(i32, bool)>>>> =
Arc::new(Mutex::new(HashMap::new()));
senders.lock().unwrap().insert(leader_info.id, s);
let mut batches: Vec<Nodes> = Vec::with_capacity(num_threads);
(0..num_threads).for_each(|_| batches.push(HashMap::new()));
batches
.get_mut(0)
.unwrap()
.insert(leader_info.id, (HashSet::new(), r));
let range: Vec<_> = (1..=num_nodes).collect();
let chunk_size = (num_nodes as usize + num_threads - 1) / num_threads;
range.chunks(chunk_size).for_each(|chunk| {
chunk.into_iter().for_each(|i| {
//distribute neighbors across threads to maximize parallel compute
let batch_ix = *i as usize % batches.len();
let node = ContactInfo::new_localhost(Keypair::new().pubkey(), 0);
bank.transfer(*i, &mint_keypair, node.id, bank.last_id())
.unwrap();
cluster_info.insert_info(node.clone());
let (s, r) = channel();
batches
.get_mut(batch_ix)
.unwrap()
.insert(node.id, (HashSet::new(), r));
senders.lock().unwrap().insert(node.id, s);
})
});
let c_info = cluster_info.clone();
// check that all tokens have been exhausted
assert_eq!(bank.get_balance(&mint_keypair.pubkey()), 0);
// create some "blobs".
let blobs: Vec<(_, _)> = (0..100).into_par_iter().map(|i| (i as i32, true)).collect();
// pretend to broadcast from leader - cluster_info::create_broadcast_orders
let mut broadcast_table = cluster_info.sorted_tvu_peers(&bank);
broadcast_table.truncate(fanout);
let orders = ClusterInfo::create_broadcast_orders(false, &blobs, &broadcast_table);
// send blobs to layer 1 nodes
orders.iter().for_each(|(b, vc)| {
vc.iter().for_each(|c| {
find_insert_blob(&c.id, b.0, &mut batches);
})
});
assert!(!batches.is_empty());
// start avalanche simulation
let now = Instant::now();
batches.par_iter_mut().for_each(|batch| {
let mut cluster = c_info.clone();
let batch_size = batch.len();
let mut remaining = batch_size;
let senders: HashMap<_, _> = senders.lock().unwrap().clone();
// A map that holds neighbors and children senders for a given node
let mut mapped_peers: HashMap<
Pubkey,
(Vec<Sender<(i32, bool)>>, Vec<Sender<(i32, bool)>>),
> = HashMap::new();
while remaining > 0 {
for (id, (recv, r)) in batch.iter_mut() {
assert!(now.elapsed().as_secs() < timeout, "Timed out");
cluster.gossip.set_self(*id);
if !mapped_peers.contains_key(id) {
let (neighbors, children) = compute_retransmit_peers(
&bank,
&Arc::new(RwLock::new(cluster.clone())),
fanout,
hood_size,
GROW_LAYER_CAPACITY,
);
let vec_children: Vec<_> = children
.iter()
.map(|p| {
let s = senders.get(&p.id).unwrap();
recv.iter().for_each(|i| {
let _ = s.send((*i, true));
});
s.clone()
})
.collect();
let vec_neighbors: Vec<_> = neighbors
.iter()
.map(|p| {
let s = senders.get(&p.id).unwrap();
recv.iter().for_each(|i| {
let _ = s.send((*i, false));
});
s.clone()
})
.collect();
mapped_peers.insert(*id, (vec_neighbors, vec_children));
}
let (vec_neighbors, vec_children) = mapped_peers.get(id).unwrap();
//send and recv
if recv.len() < blobs.len() {
loop {
match r.try_recv() {
Ok((data, retransmit)) => {
if recv.insert(data) {
vec_children.iter().for_each(|s| {
let _ = s.send((data, retransmit));
});
if retransmit {
vec_neighbors.iter().for_each(|s| {
let _ = s.send((data, false));
})
}
if recv.len() == blobs.len() {
remaining -= 1;
break;
}
}
}
Err(TryRecvError::Disconnected) => break,
Err(TryRecvError::Empty) => break,
};
}
}
}
}
});
}
//todo add tests with network failures
// Run with a single layer
#[test]
fn test_retransmit_small() {
run_simulation(
DATA_PLANE_FANOUT as u64,
DATA_PLANE_FANOUT,
NEIGHBORHOOD_SIZE,
);
}
// Make sure at least 2 layers are used
#[test]
fn test_retransmit_medium() {
let num_nodes = DATA_PLANE_FANOUT as u64 * 10;
run_simulation(num_nodes, DATA_PLANE_FANOUT, NEIGHBORHOOD_SIZE);
}
// Scale down the network and make sure at least 3 layers are used
#[test]
fn test_retransmit_large() {
let num_nodes = DATA_PLANE_FANOUT as u64 * 20;
run_simulation(num_nodes, DATA_PLANE_FANOUT / 10, NEIGHBORHOOD_SIZE / 10);
}
// Test that blobs always come out with forward unset for neighbors
#[test]
@ -418,5 +216,4 @@ mod tests {
let for_hoodies = copy_for_neighbors(&blob);
assert!(!for_hoodies.read().unwrap().should_forward());
}
}

209
tests/cluster_info.rs Normal file
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@ -0,0 +1,209 @@
use rayon::iter::{IntoParallelIterator, ParallelIterator};
use rayon::prelude::*;
use solana::bank::Bank;
use solana::cluster_info::{
ClusterInfo, DATA_PLANE_FANOUT, GROW_LAYER_CAPACITY, NEIGHBORHOOD_SIZE,
};
use solana::contact_info::ContactInfo;
use solana::genesis_block::GenesisBlock;
use solana::retransmit_stage::compute_retransmit_peers;
use solana_sdk::pubkey::Pubkey;
use solana_sdk::signature::{Keypair, KeypairUtil};
use std::collections::{HashMap, HashSet};
use std::sync::mpsc::channel;
use std::sync::mpsc::TryRecvError;
use std::sync::mpsc::{Receiver, Sender};
use std::sync::Mutex;
use std::sync::{Arc, RwLock};
use std::time::Instant;
type Nodes = HashMap<Pubkey, (HashSet<i32>, Receiver<(i32, bool)>)>;
fn num_threads() -> usize {
sys_info::cpu_num().unwrap_or(10) as usize
}
/// Search for the a node with the given balance
fn find_insert_blob(id: &Pubkey, blob: i32, batches: &mut [Nodes]) {
batches.par_iter_mut().for_each(|batch| {
if batch.contains_key(id) {
let _ = batch.get_mut(id).unwrap().0.insert(blob);
}
});
}
fn run_simulation(num_nodes: u64, fanout: usize, hood_size: usize) {
let num_threads = num_threads();
// set timeout to 5 minutes
let timeout = 60 * 5;
// math yo
let required_balance = num_nodes * (num_nodes + 1) / 2;
// create a genesis block
let (genesis_block, mint_keypair) = GenesisBlock::new(required_balance);
// describe the leader
let leader_info = ContactInfo::new_localhost(Keypair::new().pubkey(), 0);
let mut cluster_info = ClusterInfo::new(leader_info.clone());
cluster_info.set_leader(leader_info.id);
// create a bank
let bank = Arc::new(Bank::new(&genesis_block));
// setup accounts for all nodes (leader has 0 bal)
let (s, r) = channel();
let senders: Arc<Mutex<HashMap<Pubkey, Sender<(i32, bool)>>>> =
Arc::new(Mutex::new(HashMap::new()));
senders.lock().unwrap().insert(leader_info.id, s);
let mut batches: Vec<Nodes> = Vec::with_capacity(num_threads);
(0..num_threads).for_each(|_| batches.push(HashMap::new()));
batches
.get_mut(0)
.unwrap()
.insert(leader_info.id, (HashSet::new(), r));
let range: Vec<_> = (1..=num_nodes).collect();
let chunk_size = (num_nodes as usize + num_threads - 1) / num_threads;
range.chunks(chunk_size).for_each(|chunk| {
chunk.into_iter().for_each(|i| {
//distribute neighbors across threads to maximize parallel compute
let batch_ix = *i as usize % batches.len();
let node = ContactInfo::new_localhost(Keypair::new().pubkey(), 0);
bank.transfer(*i, &mint_keypair, node.id, bank.last_id())
.unwrap();
cluster_info.insert_info(node.clone());
let (s, r) = channel();
batches
.get_mut(batch_ix)
.unwrap()
.insert(node.id, (HashSet::new(), r));
senders.lock().unwrap().insert(node.id, s);
})
});
let c_info = cluster_info.clone();
// check that all tokens have been exhausted
assert_eq!(bank.get_balance(&mint_keypair.pubkey()), 0);
// create some "blobs".
let blobs: Vec<(_, _)> = (0..100).into_par_iter().map(|i| (i as i32, true)).collect();
// pretend to broadcast from leader - cluster_info::create_broadcast_orders
let mut broadcast_table = cluster_info.sorted_tvu_peers(&bank);
broadcast_table.truncate(fanout);
let orders = ClusterInfo::create_broadcast_orders(false, &blobs, &broadcast_table);
// send blobs to layer 1 nodes
orders.iter().for_each(|(b, vc)| {
vc.iter().for_each(|c| {
find_insert_blob(&c.id, b.0, &mut batches);
})
});
assert!(!batches.is_empty());
// start avalanche simulation
let now = Instant::now();
batches.par_iter_mut().for_each(|batch| {
let mut cluster = c_info.clone();
let batch_size = batch.len();
let mut remaining = batch_size;
let senders: HashMap<_, _> = senders.lock().unwrap().clone();
// A map that holds neighbors and children senders for a given node
let mut mapped_peers: HashMap<
Pubkey,
(Vec<Sender<(i32, bool)>>, Vec<Sender<(i32, bool)>>),
> = HashMap::new();
while remaining > 0 {
for (id, (recv, r)) in batch.iter_mut() {
assert!(now.elapsed().as_secs() < timeout, "Timed out");
cluster.gossip.set_self(*id);
if !mapped_peers.contains_key(id) {
let (neighbors, children) = compute_retransmit_peers(
&bank,
&Arc::new(RwLock::new(cluster.clone())),
fanout,
hood_size,
GROW_LAYER_CAPACITY,
);
let vec_children: Vec<_> = children
.iter()
.map(|p| {
let s = senders.get(&p.id).unwrap();
recv.iter().for_each(|i| {
let _ = s.send((*i, true));
});
s.clone()
})
.collect();
let vec_neighbors: Vec<_> = neighbors
.iter()
.map(|p| {
let s = senders.get(&p.id).unwrap();
recv.iter().for_each(|i| {
let _ = s.send((*i, false));
});
s.clone()
})
.collect();
mapped_peers.insert(*id, (vec_neighbors, vec_children));
}
let (vec_neighbors, vec_children) = mapped_peers.get(id).unwrap();
//send and recv
if recv.len() < blobs.len() {
loop {
match r.try_recv() {
Ok((data, retransmit)) => {
if recv.insert(data) {
vec_children.iter().for_each(|s| {
let _ = s.send((data, retransmit));
});
if retransmit {
vec_neighbors.iter().for_each(|s| {
let _ = s.send((data, false));
})
}
if recv.len() == blobs.len() {
remaining -= 1;
break;
}
}
}
Err(TryRecvError::Disconnected) => break,
Err(TryRecvError::Empty) => break,
};
}
}
}
}
});
}
// Recommended to not run these tests in parallel (they are resource heavy and want all the compute)
//todo add tests with network failures
// Run with a single layer
#[test]
fn test_retransmit_small() {
run_simulation(
DATA_PLANE_FANOUT as u64,
DATA_PLANE_FANOUT,
NEIGHBORHOOD_SIZE,
);
}
// Make sure at least 2 layers are used
#[test]
fn test_retransmit_medium() {
let num_nodes = DATA_PLANE_FANOUT as u64 * 10;
run_simulation(num_nodes, DATA_PLANE_FANOUT, NEIGHBORHOOD_SIZE);
}
// Scale down the network and make sure at least 3 layers are used
#[test]
fn test_retransmit_large() {
let num_nodes = DATA_PLANE_FANOUT as u64 * 20;
run_simulation(num_nodes, DATA_PLANE_FANOUT / 10, NEIGHBORHOOD_SIZE / 10);
}