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//! WAL replay for CoreLoop startup recovery: vector + KV engines.
use super::core_loop::CoreLoop;
impl CoreLoop {
/// Replay WAL vector records to rebuild in-memory HNSW indexes after crash.
///
/// Called once during startup, after `open()` but before the event loop.
/// Processes `VectorPut` and `VectorDelete` records, ignoring records
/// for other vShards (each core only replays records routed to it).
///
/// Records are replayed in LSN order (WAL guarantees this). For batch
/// inserts, the payload contains multiple vectors in a single record.
pub fn replay_vector_wal(&mut self, records: &[nodedb_wal::WalRecord], num_cores: usize) {
use crate::engine::vector::collection::VectorCollection;
use crate::engine::vector::hnsw::HnswParams;
use nodedb_wal::record::RecordType;
let mut inserted = 0usize;
let mut deleted = 0usize;
let mut skipped = 0usize;
for record in records {
let logical_type = record.logical_record_type();
let record_type = RecordType::from_raw(logical_type);
let is_vector_put = record_type == Some(RecordType::VectorPut);
let is_vector_delete = record_type == Some(RecordType::VectorDelete);
let is_vector_params = record_type == Some(RecordType::VectorParams);
if !is_vector_put && !is_vector_delete && !is_vector_params {
continue;
}
let vshard_id = record.header.vshard_id as usize;
let target_core = if num_cores > 0 {
vshard_id % num_cores
} else {
0
};
if target_core != self.core_id {
skipped += 1;
continue;
}
let tenant_id = record.header.tenant_id;
if is_vector_params {
if let Ok((collection, m, ef_construction, metric)) =
rmp_serde::from_slice::<(String, usize, usize, String)>(&record.payload)
{
let index_key = CoreLoop::vector_index_key(tenant_id, &collection, "");
use crate::engine::vector::distance::DistanceMetric;
let metric_enum = match metric.as_str() {
"l2" | "euclidean" => DistanceMetric::L2,
"cosine" => DistanceMetric::Cosine,
"inner_product" | "ip" | "dot" => DistanceMetric::InnerProduct,
"manhattan" | "l1" => DistanceMetric::Manhattan,
"chebyshev" | "linf" => DistanceMetric::Chebyshev,
"hamming" => DistanceMetric::Hamming,
"jaccard" => DistanceMetric::Jaccard,
"pearson" => DistanceMetric::Pearson,
_ => DistanceMetric::Cosine,
};
let params = HnswParams {
m,
m0: m * 2,
ef_construction,
metric: metric_enum,
};
self.vector_params.insert(index_key, params);
tracing::debug!(
core = self.core_id,
%collection,
m,
ef_construction,
%metric,
"WAL replay: restored vector params"
);
}
continue;
}
if is_vector_put {
if let Ok((collection, vector, dim)) =
rmp_serde::from_slice::<(String, Vec<f32>, usize)>(&record.payload)
{
if vector.len() != dim {
tracing::warn!(
core = self.core_id,
%collection,
expected = dim,
actual = vector.len(),
"skipping WAL vector record: dimension mismatch"
);
continue;
}
let index_key = CoreLoop::vector_index_key(tenant_id, &collection, "");
let params = self
.vector_params
.get(&index_key)
.cloned()
.unwrap_or_else(|| {
tracing::debug!(
core = self.core_id,
%collection,
"no VectorParams found during WAL replay; using defaults"
);
HnswParams::default()
});
let index = self
.vector_collections
.entry(index_key)
.or_insert_with(|| VectorCollection::new(dim, params));
if index.dim() != dim {
tracing::warn!(
core = self.core_id,
%collection,
index_dim = index.dim(),
record_dim = dim,
"skipping WAL vector record: index dimension mismatch"
);
continue;
}
index.insert(vector);
inserted += 1;
} else if let Ok((collection, vectors, dim)) =
rmp_serde::from_slice::<(String, Vec<Vec<f32>>, usize)>(&record.payload)
{
let index_key = CoreLoop::vector_index_key(tenant_id, &collection, "");
let params = self
.vector_params
.get(&index_key)
.cloned()
.unwrap_or_else(|| {
tracing::debug!(
core = self.core_id,
%collection,
"no VectorParams found for batch replay; using defaults"
);
HnswParams::default()
});
let index = self
.vector_collections
.entry(index_key)
.or_insert_with(|| VectorCollection::new(dim, params));
for vector in vectors {
index.insert(vector);
}
inserted += 1;
}
} else if is_vector_delete
&& let Ok((collection, vector_id)) =
rmp_serde::from_slice::<(String, u32)>(&record.payload)
{
let index_key = CoreLoop::vector_index_key(tenant_id, &collection, "");
if let Some(index) = self.vector_collections.get_mut(&index_key) {
index.delete(vector_id);
deleted += 1;
}
}
}
if inserted > 0 || deleted > 0 {
tracing::info!(
core = self.core_id,
inserted,
deleted,
skipped,
collections = self.vector_collections.len(),
"WAL vector replay complete"
);
}
}
/// Replay WAL KV records to rebuild in-memory hash tables after crash.
///
/// KV records use generic `RecordType::Put` and `RecordType::Delete` with
/// a discriminator prefix in the MessagePack payload: `("kv_put", ...)`
/// or `("kv_delete", ...)`.
///
/// Called once during startup, after `open()` but before the event loop.
/// Each core only replays records routed to its vShard.
pub fn replay_kv_wal(&mut self, records: &[nodedb_wal::WalRecord], num_cores: usize) {
use nodedb_wal::record::RecordType;
let mut puts = 0usize;
let mut deletes = 0usize;
let now_ms = crate::engine::kv::current_ms();
for record in records {
let logical_type = record.logical_record_type();
let record_type = RecordType::from_raw(logical_type);
let is_put = record_type == Some(RecordType::Put);
let is_delete = record_type == Some(RecordType::Delete);
if !is_put && !is_delete {
continue;
}
// Route to the correct core by vShard.
let vshard_id = record.header.vshard_id as usize;
let target_core = if num_cores > 0 {
vshard_id % num_cores
} else {
0
};
if target_core != self.core_id {
continue;
}
let tenant_id = record.header.tenant_id;
// Try to detect KV records by discriminator prefix in the payload.
if is_put {
// kv_put: ("kv_put", collection, key, value, ttl_ms)
if let Ok((disc, collection, key, value, ttl_ms)) =
rmp_serde::from_slice::<(&str, String, Vec<u8>, Vec<u8>, u64)>(&record.payload)
&& disc == "kv_put"
{
self.kv_engine
.put(tenant_id, &collection, &key, &value, ttl_ms, now_ms);
puts += 1;
continue;
}
// kv_batch_put: ("kv_batch_put", collection, entries, ttl_ms)
if let Ok((disc, collection, entries, ttl_ms)) =
rmp_serde::from_slice::<(&str, String, Vec<(Vec<u8>, Vec<u8>)>, u64)>(
&record.payload,
)
&& disc == "kv_batch_put"
{
self.kv_engine
.batch_put(tenant_id, &collection, &entries, ttl_ms, now_ms);
puts += entries.len();
continue;
}
// kv_field_set: ("kv_field_set", collection, key, updates)
// Replay as a full PUT (the value is the updated document).
// We skip field_set replay because it requires the current value
// which may not exist yet. The WAL should have a kv_put after.
}
if is_delete {
// kv_delete: ("kv_delete", collection, keys)
if let Ok((disc, collection, keys)) =
rmp_serde::from_slice::<(&str, String, Vec<Vec<u8>>)>(&record.payload)
&& disc == "kv_delete"
{
self.kv_engine.delete(tenant_id, &collection, &keys, now_ms);
deletes += keys.len();
continue;
}
// kv_truncate: ("kv_truncate", collection)
if let Ok((disc, collection)) =
rmp_serde::from_slice::<(&str, String)>(&record.payload)
&& disc == "kv_truncate"
{
self.kv_engine.truncate(tenant_id, &collection);
deletes += 1;
}
}
}
if puts > 0 || deletes > 0 {
tracing::info!(
core = self.core_id,
puts,
deletes,
collections = self.kv_engine.stats().collection_count,
"WAL KV replay complete"
);
}
}
}