solana/core/src/erasure.rs

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// Support erasure coding
use crate::packet::{Blob, SharedBlob};
use crate::result::{Error, Result};
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use std::cmp;
use std::sync::{Arc, RwLock};
//TODO(sakridge) pick these values
pub const NUM_DATA: usize = 16; // number of data blobs
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pub const NUM_CODING: usize = 4; // number of coding blobs, also the maximum number that can go missing
pub const ERASURE_SET_SIZE: usize = NUM_DATA + NUM_CODING; // total number of blobs in an erasure set, includes data and coding blobs
pub const JERASURE_ALIGN: usize = 4; // data size has to be a multiple of 4 bytes
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macro_rules! align {
($x:expr, $align:expr) => {
$x + ($align - 1) & !($align - 1)
};
}
#[derive(Debug, PartialEq, Eq)]
pub enum ErasureError {
NotEnoughBlocksToDecode,
DecodeError,
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EncodeError,
InvalidBlockSize,
InvalidBlobData,
CorruptCoding,
}
// k = number of data devices
// m = number of coding devices
// w = word size
extern "C" {
fn jerasure_matrix_encode(
k: i32,
m: i32,
w: i32,
matrix: *const i32,
data_ptrs: *const *const u8,
coding_ptrs: *const *mut u8,
size: i32,
);
fn jerasure_matrix_decode(
k: i32,
m: i32,
w: i32,
matrix: *const i32,
row_k_ones: i32,
erasures: *const i32,
data_ptrs: *const *mut u8,
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coding_ptrs: *const *mut u8,
size: i32,
) -> i32;
fn galois_single_divide(a: i32, b: i32, w: i32) -> i32;
fn galois_init_default_field(w: i32) -> i32;
}
use std::sync::Once;
static ERASURE_W_ONCE: Once = Once::new();
fn w() -> i32 {
let w = 32;
unsafe {
ERASURE_W_ONCE.call_once(|| {
galois_init_default_field(w);
()
});
}
w
}
fn get_matrix(m: i32, k: i32, w: i32) -> Vec<i32> {
let mut matrix = vec![0; (m * k) as usize];
for i in 0..m {
for j in 0..k {
unsafe {
matrix[(i * k + j) as usize] = galois_single_divide(1, i ^ (m + j), w);
}
}
}
matrix
}
// Generate coding blocks into coding
// There are some alignment restrictions, blocks should be aligned by 16 bytes
// which means their size should be >= 16 bytes
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fn generate_coding_blocks(coding: &mut [&mut [u8]], data: &[&[u8]]) -> Result<()> {
if data.is_empty() {
return Ok(());
}
let k = data.len() as i32;
let m = coding.len() as i32;
let block_len = data[0].len() as i32;
let matrix: Vec<i32> = get_matrix(m, k, w());
let mut data_arg = Vec::with_capacity(data.len());
for block in data {
if block_len != block.len() as i32 {
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error!(
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"data block size incorrect {} expected {}",
block.len(),
block_len
);
return Err(Error::ErasureError(ErasureError::InvalidBlockSize));
}
data_arg.push(block.as_ptr());
}
let mut coding_arg = Vec::with_capacity(coding.len());
for block in coding {
if block_len != block.len() as i32 {
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error!(
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"coding block size incorrect {} expected {}",
block.len(),
block_len
);
return Err(Error::ErasureError(ErasureError::InvalidBlockSize));
}
coding_arg.push(block.as_mut_ptr());
}
unsafe {
jerasure_matrix_encode(
k,
m,
w(),
matrix.as_ptr(),
data_arg.as_ptr(),
coding_arg.as_ptr(),
block_len,
);
}
Ok(())
}
// Recover data + coding blocks into data blocks
// data: array of blocks to recover into
// coding: arry of coding blocks
// erasures: list of indices in data where blocks should be recovered
pub fn decode_blocks(
data: &mut [&mut [u8]],
coding: &mut [&mut [u8]],
erasures: &[i32],
) -> Result<()> {
if data.is_empty() {
return Ok(());
}
let block_len = data[0].len();
let matrix: Vec<i32> = get_matrix(coding.len() as i32, data.len() as i32, w());
// generate coding pointers, blocks should be the same size
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let mut coding_arg: Vec<*mut u8> = Vec::new();
for x in coding.iter_mut() {
if x.len() != block_len {
return Err(Error::ErasureError(ErasureError::InvalidBlockSize));
}
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coding_arg.push(x.as_mut_ptr());
}
// generate data pointers, blocks should be the same size
let mut data_arg: Vec<*mut u8> = Vec::new();
for x in data.iter_mut() {
if x.len() != block_len {
return Err(Error::ErasureError(ErasureError::InvalidBlockSize));
}
data_arg.push(x.as_mut_ptr());
}
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let ret = unsafe {
jerasure_matrix_decode(
data.len() as i32,
coding.len() as i32,
w(),
matrix.as_ptr(),
0,
erasures.as_ptr(),
data_arg.as_ptr(),
coding_arg.as_ptr(),
data[0].len() as i32,
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)
};
trace!("jerasure_matrix_decode ret: {}", ret);
for x in data[erasures[0] as usize][0..8].iter() {
trace!("{} ", x)
}
trace!("");
if ret < 0 {
return Err(Error::ErasureError(ErasureError::DecodeError));
}
Ok(())
}
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// Generate coding blocks in window starting from start_idx,
// for num_blobs.. For each block place the coding blobs
// at the start of the block like so:
//
// model of an erasure set, with top row being data blobs and second being coding
// |<======================= NUM_DATA ==============================>|
// |<==== NUM_CODING ===>|
// +---+ +---+ +---+ +---+ +---+ +---+ +---+ +---+ +---+ +---+
// | D | | D | | D | | D | | D | | D | | D | | D | | D | | D |
// +---+ +---+ +---+ +---+ +---+ . . . +---+ +---+ +---+ +---+ +---+
// | C | | C | | C | | C | | | | | | | | | | | | |
// +---+ +---+ +---+ +---+ +---+ +---+ +---+ +---+ +---+ +---+
//
// blob structure for coding, recover
//
// + ------- meta is set and used by transport, meta.size is actual length
// | of data in the byte array blob.data
// |
// | + -- data is stuff shipped over the wire, and has an included
// | | header
// V V
// +----------+------------------------------------------------------------+
// | meta | data |
// |+---+-- |+---+---+---+---+------------------------------------------+|
// || s | . || i | | f | s | ||
// || i | . || n | i | l | i | ||
// || z | . || d | d | a | z | blob.data(), or blob.data_mut() ||
// || e | || e | | g | e | ||
// |+---+-- || x | | s | | ||
// | |+---+---+---+---+------------------------------------------+|
// +----------+------------------------------------------------------------+
// | |<=== coding blob part for "coding" =======>|
// | |
// |<============== data blob part for "coding" ==============>|
//
//
//
pub struct CodingGenerator {
leftover: Vec<SharedBlob>, // SharedBlobs that couldn't be used in last call to next()
}
impl Default for CodingGenerator {
fn default() -> Self {
CodingGenerator {
leftover: Vec::with_capacity(NUM_DATA),
}
}
}
impl CodingGenerator {
pub fn new() -> Self {
Self::default()
}
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// must be called with consecutive data blobs from previous invocation
pub fn next(&mut self, next_data: &[SharedBlob]) -> Result<Vec<SharedBlob>> {
let mut next_coding =
Vec::with_capacity((self.leftover.len() + next_data.len()) / NUM_DATA * NUM_CODING);
if self.leftover.len() > 0 && next_data.len() > 0 {
if self.leftover[0].read().unwrap().slot() != next_data[0].read().unwrap().slot() {
self.leftover.clear(); // reset on slot boundaries
}
}
let next_data: Vec<_> = self.leftover.iter().chain(next_data).cloned().collect();
for data_blobs in next_data.chunks(NUM_DATA) {
if data_blobs.len() < NUM_DATA {
self.leftover = data_blobs.to_vec();
break;
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}
self.leftover.clear();
// find max_data_size for the chunk
let max_data_size = align!(
data_blobs
.iter()
.fold(0, |max, blob| cmp::max(blob.read().unwrap().meta.size, max)),
JERASURE_ALIGN
);
let data_locks: Vec<_> = data_blobs.iter().map(|b| b.read().unwrap()).collect();
let data_ptrs: Vec<_> = data_locks
.iter()
.map(|l| &l.data[..max_data_size])
.collect();
let mut coding_blobs = Vec::with_capacity(NUM_CODING);
for data_blob in &data_locks[..NUM_CODING] {
let index = data_blob.index();
let slot = data_blob.slot();
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let id = data_blob.id();
let should_forward = data_blob.should_forward();
let mut coding_blob = Blob::default();
coding_blob.set_index(index);
coding_blob.set_slot(slot);
coding_blob.set_id(&id);
coding_blob.forward(should_forward);
coding_blob.set_size(max_data_size);
coding_blob.set_coding();
coding_blobs.push(Arc::new(RwLock::new(coding_blob)));
}
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{
let mut coding_locks: Vec<_> =
coding_blobs.iter().map(|b| b.write().unwrap()).collect();
let mut coding_ptrs: Vec<_> = coding_locks
.iter_mut()
.map(|l| &mut l.data_mut()[..max_data_size])
.collect();
generate_coding_blocks(coding_ptrs.as_mut_slice(), &data_ptrs)?;
}
next_coding.append(&mut coding_blobs);
}
Ok(next_coding)
}
}
#[cfg(test)]
pub mod test {
use super::*;
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use crate::blocktree::get_tmp_ledger_path;
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use crate::blocktree::Blocktree;
use crate::entry::{make_tiny_test_entries, EntrySlice};
use crate::packet::{index_blobs, SharedBlob, BLOB_DATA_SIZE, BLOB_HEADER_SIZE};
use solana_sdk::pubkey::Pubkey;
use solana_sdk::signature::{Keypair, KeypairUtil};
use std::borrow::Borrow;
/// Specifies the contents of a 16-data-blob and 4-coding-blob erasure set
/// Exists to be passed to `generate_blocktree_with_coding`
#[derive(Debug, Copy, Clone)]
pub struct ErasureSpec {
/// Which 16-blob erasure set this represents
pub set_index: u64,
pub num_data: usize,
pub num_coding: usize,
}
/// Specifies the contents of a slot
/// Exists to be passed to `generate_blocktree_with_coding`
#[derive(Debug, Clone)]
pub struct SlotSpec {
pub slot: u64,
pub set_specs: Vec<ErasureSpec>,
}
/// Model of a slot in 16-blob chunks with varying amounts of erasure and coding blobs
/// present
#[derive(Debug, Clone)]
pub struct SlotModel {
pub slot: u64,
pub chunks: Vec<ErasureSetModel>,
}
/// Model of 16-blob chunk
#[derive(Debug, Clone)]
pub struct ErasureSetModel {
pub set_index: u64,
pub start_index: u64,
pub coding: Vec<SharedBlob>,
pub data: Vec<SharedBlob>,
}
#[test]
fn test_coding() {
let zero_vec = vec![0; 16];
let mut vs: Vec<Vec<u8>> = (0..4).map(|i| (i..(16 + i)).collect()).collect();
let v_orig: Vec<u8> = vs[0].clone();
let m = 2;
let mut coding_blocks: Vec<_> = (0..m).map(|_| vec![0u8; 16]).collect();
{
let mut coding_blocks_slices: Vec<_> =
coding_blocks.iter_mut().map(|x| x.as_mut_slice()).collect();
let v_slices: Vec<_> = vs.iter().map(|x| x.as_slice()).collect();
assert!(generate_coding_blocks(
coding_blocks_slices.as_mut_slice(),
v_slices.as_slice(),
)
.is_ok());
}
trace!("test_coding: coding blocks:");
for b in &coding_blocks {
trace!("test_coding: {:?}", b);
}
let erasure: i32 = 1;
let erasures = vec![erasure, -1];
// clear an entry
vs[erasure as usize].copy_from_slice(zero_vec.as_slice());
{
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let mut coding_blocks_slices: Vec<_> =
coding_blocks.iter_mut().map(|x| x.as_mut_slice()).collect();
let mut v_slices: Vec<_> = vs.iter_mut().map(|x| x.as_mut_slice()).collect();
assert!(decode_blocks(
v_slices.as_mut_slice(),
coding_blocks_slices.as_mut_slice(),
erasures.as_slice(),
)
.is_ok());
}
trace!("test_coding: vs:");
for v in &vs {
trace!("test_coding: {:?}", v);
}
assert_eq!(v_orig, vs[0]);
}
#[test]
fn test_erasure_generate_coding() {
solana_logger::setup();
// trivial case
let mut coding_generator = CodingGenerator::new();
let blobs = Vec::new();
for _ in 0..NUM_DATA * 2 {
let coding = coding_generator.next(&blobs).unwrap();
assert_eq!(coding.len(), 0);
}
// test coding by iterating one blob at a time
let data_blobs = generate_test_blobs(0, NUM_DATA * 2);
for (i, blob) in data_blobs.iter().cloned().enumerate() {
let coding = coding_generator.next(&[blob]).unwrap();
if !coding.is_empty() {
assert_eq!(i % NUM_DATA, NUM_DATA - 1);
assert_eq!(coding.len(), NUM_CODING);
let size = coding[0].read().unwrap().size();
// toss one data and one coding
let erasures: Vec<i32> = vec![0, NUM_DATA as i32, -1];
let block_start_idx = i - (i % NUM_DATA);
let mut blobs: Vec<SharedBlob> = Vec::with_capacity(ERASURE_SET_SIZE);
blobs.push(SharedBlob::default()); // empty data, erasure at zero
for blob in &data_blobs[block_start_idx + 1..block_start_idx + NUM_DATA] {
// skip first blob
blobs.push(blob.clone());
}
blobs.push(SharedBlob::default()); // empty coding, erasure at zero
for blob in &coding[1..NUM_CODING] {
blobs.push(blob.clone());
}
let corrupt =
decode_blobs(&blobs, &erasures, size, block_start_idx as u64, 0).unwrap();
assert!(!corrupt);
assert_eq!(
blobs[1].read().unwrap().meta,
data_blobs[block_start_idx + 1].read().unwrap().meta
);
assert_eq!(
blobs[1].read().unwrap().data(),
data_blobs[block_start_idx + 1].read().unwrap().data()
);
assert_eq!(
blobs[0].read().unwrap().meta,
data_blobs[block_start_idx].read().unwrap().meta
);
assert_eq!(
blobs[0].read().unwrap().data(),
data_blobs[block_start_idx].read().unwrap().data()
);
assert_eq!(
blobs[NUM_DATA].read().unwrap().data(),
coding[0].read().unwrap().data()
);
}
}
}
#[test]
fn test_erasure_generate_coding_reset_on_new_slot() {
solana_logger::setup();
let mut coding_generator = CodingGenerator::new();
// test coding by iterating one blob at a time
let data_blobs = generate_test_blobs(0, NUM_DATA * 2);
for i in NUM_DATA..NUM_DATA * 2 {
data_blobs[i].write().unwrap().set_slot(1);
}
let coding = coding_generator.next(&data_blobs[1..]).unwrap();
assert_eq!(coding.len(), NUM_CODING);
}
#[test]
fn test_generate_blocktree_with_coding() {
let cases = vec![
(NUM_DATA, NUM_CODING, 7, 5),
(NUM_DATA - 6, NUM_CODING - 1, 5, 7),
];
for (num_data, num_coding, num_slots, num_sets_per_slot) in cases {
let ledger_path = get_tmp_ledger_path!();
let specs = (0..num_slots)
.map(|slot| {
let set_specs = (0..num_sets_per_slot)
.map(|set_index| ErasureSpec {
set_index,
num_data,
num_coding,
})
.collect();
SlotSpec { slot, set_specs }
})
.collect::<Vec<_>>();
let blocktree = generate_blocktree_with_coding(&ledger_path, &specs);
for spec in specs.iter() {
let slot = spec.slot;
for erasure_spec in spec.set_specs.iter() {
let start_index = erasure_spec.set_index * NUM_DATA as u64;
let (data_end, coding_end) = (
start_index + erasure_spec.num_data as u64,
start_index + erasure_spec.num_coding as u64,
);
for idx in start_index..data_end {
let opt_bytes = blocktree.get_data_blob_bytes(slot, idx).unwrap();
assert!(opt_bytes.is_some());
}
for idx in start_index..coding_end {
let opt_bytes = blocktree.get_coding_blob_bytes(slot, idx).unwrap();
assert!(opt_bytes.is_some());
}
}
}
drop(blocktree);
Blocktree::destroy(&ledger_path).expect("Expect successful blocktree destruction");
}
}
/// This test is ignored because if successful, it never stops running. It is useful for
/// dicovering an initialization race-condition in the erasure FFI bindings. If this bug
/// re-emerges, running with `Z_THREADS = N` where `N > 1` should crash fairly rapidly.
#[ignore]
#[test]
fn test_recovery_with_model() {
use std::env;
use std::sync::{Arc, Mutex};
use std::thread;
const MAX_ERASURE_SETS: u64 = 16;
solana_logger::setup();
let n_threads: usize = env::var("Z_THREADS")
.unwrap_or("1".to_string())
.parse()
.unwrap();
let specs = (0..).map(|slot| {
let num_erasure_sets = slot % MAX_ERASURE_SETS;
let set_specs = (0..num_erasure_sets)
.map(|set_index| ErasureSpec {
set_index,
num_data: NUM_DATA,
num_coding: NUM_CODING,
})
.collect();
SlotSpec { slot, set_specs }
});
let decode_mutex = Arc::new(Mutex::new(()));
let mut handles = vec![];
for i in 0..n_threads {
let specs = specs.clone();
let decode_mutex = Arc::clone(&decode_mutex);
let handle = thread::Builder::new()
.name(i.to_string())
.spawn(move || {
for slot_model in generate_ledger_model(specs) {
for erasure_set in slot_model.chunks {
let erased_coding = erasure_set.coding[0].clone();
let erased_data = erasure_set.data[..3].to_vec();
let mut data = Vec::with_capacity(NUM_DATA);
let mut coding = Vec::with_capacity(NUM_CODING);
let erasures = vec![0, 1, 2, NUM_DATA as i32, -1];
data.push(SharedBlob::default());
data.push(SharedBlob::default());
data.push(SharedBlob::default());
for blob in erasure_set.data.into_iter().skip(3) {
data.push(blob);
}
coding.push(SharedBlob::default());
for blob in erasure_set.coding.into_iter().skip(1) {
coding.push(blob);
}
let size = erased_coding.read().unwrap().data_size() as usize;
let mut data_locks: Vec<_> =
data.iter().map(|shared| shared.write().unwrap()).collect();
let mut coding_locks: Vec<_> = coding
.iter()
.map(|shared| shared.write().unwrap())
.collect();
let mut data_ptrs: Vec<_> = data_locks
.iter_mut()
.map(|blob| &mut blob.data[..size])
.collect();
let mut coding_ptrs: Vec<_> = coding_locks
.iter_mut()
.map(|blob| &mut blob.data_mut()[..size])
.collect();
{
let _lock = decode_mutex.lock();
decode_blocks(
data_ptrs.as_mut_slice(),
coding_ptrs.as_mut_slice(),
&erasures,
)
.expect("decoding must succeed");
}
drop(coding_locks);
drop(data_locks);
for (expected, recovered) in erased_data.iter().zip(data.iter()) {
let expected = expected.read().unwrap();
let mut recovered = recovered.write().unwrap();
let data_size = recovered.data_size() as usize - BLOB_HEADER_SIZE;
recovered.set_size(data_size);
let corrupt = data_size > BLOB_DATA_SIZE;
assert!(!corrupt, "CORRUPTION");
assert_eq!(&*expected, &*recovered);
}
assert_eq!(
erased_coding.read().unwrap().data(),
coding[0].read().unwrap().data()
);
debug!("passed set: {}", erasure_set.set_index);
}
debug!("passed slot: {}", slot_model.slot);
}
})
.expect("thread build error");
handles.push(handle);
}
handles.into_iter().for_each(|h| h.join().unwrap());
}
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/// Generates a model of a ledger containing certain data and coding blobs according to a spec
pub fn generate_ledger_model<'a, I, IntoIt, S>(
specs: I,
) -> impl Iterator<Item = SlotModel> + Clone + 'a
where
I: IntoIterator<Item = S, IntoIter = IntoIt>,
IntoIt: Iterator<Item = S> + Clone + 'a,
S: Borrow<SlotSpec>,
{
specs.into_iter().map(|spec| {
let spec = spec.borrow();
let slot = spec.slot;
let chunks = spec
.set_specs
.iter()
.map(|erasure_spec| {
let set_index = erasure_spec.set_index as usize;
let start_index = set_index * NUM_DATA;
let mut blobs = make_tiny_test_entries(NUM_DATA).to_single_entry_shared_blobs();
index_blobs(
&blobs,
&Keypair::new().pubkey(),
start_index as u64,
slot,
0,
);
let mut coding_generator = CodingGenerator::new();
let mut coding_blobs = coding_generator.next(&blobs).unwrap();
blobs.drain(erasure_spec.num_data..);
coding_blobs.drain(erasure_spec.num_coding..);
ErasureSetModel {
start_index: start_index as u64,
set_index: set_index as u64,
data: blobs,
coding: coding_blobs,
}
})
.collect();
SlotModel { slot, chunks }
})
}
/// Genarates a ledger according to the given specs.
/// Blocktree should have correct SlotMeta and ErasureMeta and so on but will not have done any
/// possible recovery.
pub fn generate_blocktree_with_coding(ledger_path: &str, specs: &[SlotSpec]) -> Blocktree {
let blocktree = Blocktree::open(ledger_path).unwrap();
let model = generate_ledger_model(specs);
for slot_model in model {
let slot = slot_model.slot;
for erasure_set in slot_model.chunks {
blocktree.write_shared_blobs(erasure_set.data).unwrap();
for shared_coding_blob in erasure_set.coding.into_iter() {
let blob = shared_coding_blob.read().unwrap();
blocktree
.put_coding_blob_bytes_raw(
slot,
blob.index(),
&blob.data[..blob.size() + BLOB_HEADER_SIZE],
)
.unwrap();
}
}
}
blocktree
}
fn generate_test_blobs(offset: usize, num_blobs: usize) -> Vec<SharedBlob> {
let blobs = make_tiny_test_entries(num_blobs).to_single_entry_shared_blobs();
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index_blobs(&blobs, &Pubkey::new_rand(), offset as u64, 0, 0);
blobs
}
fn decode_blobs(
blobs: &[SharedBlob],
erasures: &[i32],
size: usize,
block_start_idx: u64,
slot: u64,
) -> Result<bool> {
let mut locks = Vec::with_capacity(ERASURE_SET_SIZE);
let mut coding_ptrs: Vec<&mut [u8]> = Vec::with_capacity(NUM_CODING);
let mut data_ptrs: Vec<&mut [u8]> = Vec::with_capacity(NUM_DATA);
assert_eq!(blobs.len(), ERASURE_SET_SIZE);
for b in blobs {
locks.push(b.write().unwrap());
}
for (i, l) in locks.iter_mut().enumerate() {
if i < NUM_DATA {
data_ptrs.push(&mut l.data[..size]);
} else {
coding_ptrs.push(&mut l.data_mut()[..size]);
}
}
// Decode the blocks
decode_blocks(
data_ptrs.as_mut_slice(),
coding_ptrs.as_mut_slice(),
&erasures,
)?;
// Create the missing blobs from the reconstructed data
let mut corrupt = false;
for i in &erasures[..erasures.len() - 1] {
let n = *i as usize;
let mut idx = n as u64 + block_start_idx;
let mut data_size;
if n < NUM_DATA {
data_size = locks[n].data_size() as usize;
data_size -= BLOB_HEADER_SIZE;
if data_size > BLOB_DATA_SIZE {
error!("corrupt data blob[{}] data_size: {}", idx, data_size);
corrupt = true;
break;
}
} else {
data_size = size;
idx -= NUM_DATA as u64;
locks[n].set_slot(slot);
locks[n].set_index(idx);
if data_size - BLOB_HEADER_SIZE > BLOB_DATA_SIZE {
error!("corrupt coding blob[{}] data_size: {}", idx, data_size);
corrupt = true;
break;
}
}
locks[n].set_size(data_size);
trace!(
"erasures[{}] ({}) size: {} data[0]: {}",
*i,
idx,
data_size,
locks[n].data()[0]
);
}
Ok(corrupt)
}
}