Bench RaptorQ (#10886)

Co-authored-by: Carl <carl@solana.com>

Cargo.lock

@@ -3004,6 +3004,15 @@ dependencies = [
  "rand_core 0.3.1",
 ]
 
+[[package]]
+name = "raptorq"
+version = "1.4.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8e3e0cd5c27717803cbd3151329de9aa784376703a3a850b00c0dae30da86cf2"
+dependencies = [
+ "serde",
+]
+
 [[package]]
 name = "rayon"
 version = "1.3.1"
@@ -3937,6 +3946,7 @@ dependencies = [
  "num_cpus",
  "rand 0.7.3",
  "rand_chacha 0.2.2",
+ "raptorq",
  "rayon",
  "regex",
  "reqwest",

core/Cargo.toml

@@ -37,6 +37,7 @@ num_cpus = "1.13.0"
 num-traits = "0.2"
 rand = "0.7.0"
 rand_chacha = "0.2.2"
+raptorq = "1.4.2"
 rayon = "1.3.1"
 regex = "1.3.9"
 serde = "1.0.112"

core/benches/shredder.rs

@@ -2,10 +2,13 @@
 
 extern crate test;
 
+use rand::seq::SliceRandom;
+use raptorq::{Decoder, Encoder};
 use solana_ledger::entry::{create_ticks, Entry};
 use solana_ledger::shred::{
-    max_entries_per_n_shred, max_ticks_per_n_shreds, Shred, Shredder, RECOMMENDED_FEC_RATE,
+    max_entries_per_n_shred, max_ticks_per_n_shreds, Shred, Shredder,
-    SIZE_OF_DATA_SHRED_PAYLOAD,
+    MAX_DATA_SHREDS_PER_FEC_BLOCK, RECOMMENDED_FEC_RATE, SHRED_PAYLOAD_SIZE,
+    SIZE_OF_DATA_SHRED_IGNORED_TAIL, SIZE_OF_DATA_SHRED_PAYLOAD,
 };
 use solana_perf::test_tx;
 use solana_sdk::hash::Hash;
@@ -26,6 +29,34 @@ fn make_large_unchained_entries(txs_per_entry: u64, num_entries: u64) -> Vec<Ent
         .collect()
 }
 
+fn make_shreds(num_shreds: usize) -> Vec<Shred> {
+    let shred_size = SIZE_OF_DATA_SHRED_PAYLOAD;
+    let txs_per_entry = 128;
+    let num_entries = max_entries_per_n_shred(
+        &make_test_entry(txs_per_entry),
+        2 * num_shreds as u64,
+        Some(shred_size),
+    );
+    let entries = make_large_unchained_entries(txs_per_entry, num_entries);
+    let shredder =
+        Shredder::new(1, 0, RECOMMENDED_FEC_RATE, Arc::new(Keypair::new()), 0, 0).unwrap();
+    let data_shreds = shredder.entries_to_data_shreds(&entries, true, 0).0;
+    assert!(data_shreds.len() >= num_shreds);
+    data_shreds
+}
+
+fn make_concatenated_shreds(num_shreds: usize) -> Vec<u8> {
+    let data_shreds = make_shreds(num_shreds);
+    let valid_shred_data_len = (SHRED_PAYLOAD_SIZE - SIZE_OF_DATA_SHRED_IGNORED_TAIL) as usize;
+    let mut data: Vec<u8> = vec![0; num_shreds * valid_shred_data_len];
+    for (i, shred) in (data_shreds[0..num_shreds]).iter().enumerate() {
+        data[i * valid_shred_data_len..(i + 1) * valid_shred_data_len]
+            .copy_from_slice(&shred.payload[..valid_shred_data_len]);
+    }
+
+    data
+}
+
 #[bench]
 fn bench_shredder_ticks(bencher: &mut Bencher) {
     let kp = Arc::new(Keypair::new());
@@ -86,3 +117,68 @@ fn bench_deserialize_hdr(bencher: &mut Bencher) {
         let _ = Shred::new_from_serialized_shred(payload).unwrap();
     })
 }
+
+#[bench]
+fn bench_shredder_coding(bencher: &mut Bencher) {
+    let symbol_count = MAX_DATA_SHREDS_PER_FEC_BLOCK as usize;
+    let data_shreds = make_shreds(symbol_count);
+    bencher.iter(|| {
+        Shredder::generate_coding_shreds(0, RECOMMENDED_FEC_RATE, &data_shreds[..symbol_count], 0)
+            .len();
+    })
+}
+
+#[bench]
+fn bench_shredder_decoding(bencher: &mut Bencher) {
+    let symbol_count = MAX_DATA_SHREDS_PER_FEC_BLOCK as usize;
+    let data_shreds = make_shreds(symbol_count);
+    let coding_shreds =
+        Shredder::generate_coding_shreds(0, RECOMMENDED_FEC_RATE, &data_shreds[..symbol_count], 0);
+    bencher.iter(|| {
+        Shredder::try_recovery(
+            coding_shreds[..].to_vec(),
+            symbol_count,
+            symbol_count,
+            0,
+            0,
+            1,
+        )
+        .unwrap();
+    })
+}
+
+#[bench]
+fn bench_shredder_coding_raptorq(bencher: &mut Bencher) {
+    let symbol_count = MAX_DATA_SHREDS_PER_FEC_BLOCK;
+    let data = make_concatenated_shreds(symbol_count as usize);
+    let valid_shred_data_len = (SHRED_PAYLOAD_SIZE - SIZE_OF_DATA_SHRED_IGNORED_TAIL) as usize;
+    bencher.iter(|| {
+        let encoder = Encoder::with_defaults(&data, valid_shred_data_len as u16);
+        encoder.get_encoded_packets(symbol_count);
+    })
+}
+
+#[bench]
+fn bench_shredder_decoding_raptorq(bencher: &mut Bencher) {
+    let symbol_count = MAX_DATA_SHREDS_PER_FEC_BLOCK;
+    let data = make_concatenated_shreds(symbol_count as usize);
+    let valid_shred_data_len = (SHRED_PAYLOAD_SIZE - SIZE_OF_DATA_SHRED_IGNORED_TAIL) as usize;
+    let encoder = Encoder::with_defaults(&data, valid_shred_data_len as u16);
+    let mut packets = encoder.get_encoded_packets(symbol_count as u32);
+    packets.shuffle(&mut rand::thread_rng());
+
+    // Here we simulate losing 1 less than 50% of the packets randomly
+    packets.truncate(packets.len() - packets.len() / 2 + 1);
+
+    bencher.iter(|| {
+        let mut decoder = Decoder::new(encoder.get_config());
+        let mut result = None;
+        for packet in &packets {
+            result = decoder.decode(packet.clone());
+            if result != None {
+                break;
+            }
+        }
+        assert_eq!(result.unwrap(), data);
+    })
+}