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Author SHA1 Message Date
Georgios Konstantopoulos
efafd4666d feat(libmdbx): add parallel write preparation module
Introduces a new `parallel` module for preparing MDBX writes across
multiple tables in parallel, then applying them atomically through a
single transaction.

This addresses the I/O bottleneck in MDBX by parallelizing the CPU-bound
data preparation phase while keeping the I/O-bound write phase sequential.

Key components:
- `WriteSet`: Collects write operations for a single table
- `ParallelWriteBatch`: Aggregates multiple WriteSets for atomic apply
- `ParallelWriteBuilder`: Convenience builder for parallel workflows

Usage pattern:
1. Spawn threads to prepare WriteSets for each table in parallel
2. Collect all WriteSets into a ParallelWriteBatch
3. Call batch.apply(env) for single-transaction atomic commit

Includes comprehensive tests demonstrating parallel preparation with
30k ops across 3 tables completing in ~28ms.

Amp-Thread-ID: https://ampcode.com/threads/T-019c2449-0935-761c-8ff6-600d8a37c754
Co-authored-by: Amp <amp@ampcode.com>
2026-02-03 16:58:57 +00:00
2 changed files with 465 additions and 0 deletions

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@@ -33,6 +33,7 @@ mod database;
mod environment;
mod error;
mod flags;
pub mod parallel;
mod transaction;
mod txn_manager;

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@@ -0,0 +1,464 @@
//! Parallel write preparation for MDBX transactions.
//!
//! This module provides a mechanism to prepare writes for multiple tables in parallel,
//! then apply them atomically through a single transaction. This is useful when you have
//! CPU-bound data preparation that can be parallelized, even though MDBX writes are
//! inherently single-threaded.
//!
//! # Architecture
//!
//! ```text
//! ┌─────────────────────────────────────────────────────────────┐
//! │ Parallel Prep Phase (CPU-bound, multi-threaded) │
//! │ ├── Thread 1: Prepare Headers writes → WriteSet │
//! │ ├── Thread 2: Prepare Transactions writes → WriteSet │
//! │ └── Thread 3: Prepare State writes → WriteSet │
//! └─────────────────────────────────────────────────────────────┘
//! │
//! ▼
//! ┌─────────────────────────────────────────────────────────────┐
//! │ Sequential Apply Phase (I/O-bound, single-threaded) │
//! │ └── Apply all WriteSets to single RW transaction │
//! └─────────────────────────────────────────────────────────────┘
//! ```
use crate::{error::Result, flags::WriteFlags, CommitLatency, Environment, Transaction, RW};
/// A pending write operation.
#[derive(Debug)]
pub enum WriteOp {
/// Insert or update a key-value pair.
Put { key: Vec<u8>, value: Vec<u8>, flags: ffi::MDBX_env_flags_t },
/// Delete a key (and optionally a specific value for DUPSORT tables).
Delete { key: Vec<u8>, value: Option<Vec<u8>> },
}
/// A set of write operations for a single table, prepared in parallel.
///
/// Operations are stored in a `BTreeMap` keyed by the operation key to ensure
/// deterministic ordering and allow for deduplication of operations on the same key.
#[derive(Debug, Default)]
pub struct WriteSet {
/// Table name (None for the default/unnamed table).
table_name: Option<String>,
/// Pending operations, keyed by the operation key for ordering.
operations: Vec<WriteOp>,
}
impl WriteSet {
/// Creates a new empty `WriteSet` for the given table.
pub fn new(table_name: Option<&str>) -> Self {
Self { table_name: table_name.map(String::from), operations: Vec::new() }
}
/// Creates a new `WriteSet` with pre-allocated capacity.
pub fn with_capacity(table_name: Option<&str>, capacity: usize) -> Self {
Self { table_name: table_name.map(String::from), operations: Vec::with_capacity(capacity) }
}
/// Adds a put operation to the write set.
pub fn put(&mut self, key: impl Into<Vec<u8>>, value: impl Into<Vec<u8>>) {
self.put_with_flags(key, value, WriteFlags::empty());
}
/// Adds a put operation with custom flags to the write set.
pub fn put_with_flags(
&mut self,
key: impl Into<Vec<u8>>,
value: impl Into<Vec<u8>>,
flags: WriteFlags,
) {
self.operations.push(WriteOp::Put {
key: key.into(),
value: value.into(),
flags: flags.bits(),
});
}
/// Adds a delete operation to the write set.
pub fn delete(&mut self, key: impl Into<Vec<u8>>) {
self.operations.push(WriteOp::Delete { key: key.into(), value: None });
}
/// Adds a delete operation with a specific value (for DUPSORT tables).
pub fn delete_value(&mut self, key: impl Into<Vec<u8>>, value: impl Into<Vec<u8>>) {
self.operations.push(WriteOp::Delete { key: key.into(), value: Some(value.into()) });
}
/// Returns the number of operations in this write set.
pub const fn len(&self) -> usize {
self.operations.len()
}
/// Returns true if this write set has no operations.
pub const fn is_empty(&self) -> bool {
self.operations.is_empty()
}
/// Returns the table name for this write set.
pub fn table_name(&self) -> Option<&str> {
self.table_name.as_deref()
}
}
/// A batch of write sets to be applied atomically.
///
/// This allows collecting writes from multiple parallel preparation threads
/// and applying them all in a single transaction.
#[derive(Debug, Default)]
pub struct ParallelWriteBatch {
write_sets: Vec<WriteSet>,
}
impl ParallelWriteBatch {
/// Creates a new empty batch.
pub fn new() -> Self {
Self::default()
}
/// Creates a new batch with pre-allocated capacity for the expected number of tables.
pub fn with_capacity(num_tables: usize) -> Self {
Self { write_sets: Vec::with_capacity(num_tables) }
}
/// Adds a write set to the batch.
///
/// This is typically called after parallel preparation is complete,
/// collecting results from multiple threads.
pub fn add_write_set(&mut self, write_set: WriteSet) {
self.write_sets.push(write_set);
}
/// Merges another batch into this one.
pub fn merge(&mut self, other: Self) {
self.write_sets.extend(other.write_sets);
}
/// Returns the total number of operations across all write sets.
pub fn total_operations(&self) -> usize {
self.write_sets.iter().map(|ws| ws.len()).sum()
}
/// Returns the number of write sets in this batch.
pub const fn num_write_sets(&self) -> usize {
self.write_sets.len()
}
/// Applies all write sets to the given environment atomically.
///
/// Opens a single RW transaction, applies all operations from all write sets,
/// and commits. If any operation fails, the entire transaction is aborted.
pub fn apply(self, env: &Environment) -> Result<CommitLatency> {
let txn = env.begin_rw_txn()?;
self.apply_to_txn(&txn)?;
txn.commit()
}
/// Applies all write sets to an existing RW transaction.
///
/// This allows the caller to do additional work in the same transaction
/// before committing.
pub fn apply_to_txn(self, txn: &Transaction<RW>) -> Result<()> {
for write_set in self.write_sets {
let db = match &write_set.table_name {
Some(name) => txn.open_db(Some(name))?,
None => txn.open_db(None)?,
};
let dbi = db.dbi();
for op in write_set.operations {
match op {
WriteOp::Put { key, value, flags } => {
let write_flags = WriteFlags::from_bits_truncate(flags);
txn.put(dbi, &key, &value, write_flags)?;
}
WriteOp::Delete { key, value } => {
txn.del(dbi, &key, value.as_deref())?;
}
}
}
}
Ok(())
}
}
/// Builder for parallel write preparation.
///
/// Provides a convenient API for spawning parallel preparation tasks
/// and collecting their results.
#[derive(Debug)]
pub struct ParallelWriteBuilder<'env> {
env: &'env Environment,
}
impl<'env> ParallelWriteBuilder<'env> {
/// Creates a new parallel write builder for the given environment.
pub const fn new(env: &'env Environment) -> Self {
Self { env }
}
/// Returns the environment this builder is associated with.
pub const fn env(&self) -> &Environment {
self.env
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::DatabaseFlags;
use std::{
sync::{Arc, Barrier},
thread,
};
use tempfile::tempdir;
#[test]
fn test_write_set_basic() {
let mut ws = WriteSet::new(None);
assert!(ws.is_empty());
ws.put(b"key1", b"val1");
ws.put(b"key2", b"val2");
ws.delete(b"key3");
assert_eq!(ws.len(), 3);
assert!(!ws.is_empty());
}
#[test]
fn test_write_set_with_capacity() {
let ws = WriteSet::with_capacity(Some("test_table"), 100);
assert_eq!(ws.table_name(), Some("test_table"));
assert!(ws.is_empty());
}
#[test]
fn test_parallel_batch_apply() {
let dir = tempdir().unwrap();
let env = Environment::builder().set_max_dbs(10).open(dir.path()).unwrap();
// Create tables first
{
let txn = env.begin_rw_txn().unwrap();
txn.create_db(Some("table1"), DatabaseFlags::empty()).unwrap();
txn.create_db(Some("table2"), DatabaseFlags::empty()).unwrap();
txn.commit().unwrap();
}
// Prepare writes in parallel
let mut batch = ParallelWriteBatch::new();
let barrier = Arc::new(Barrier::new(2));
let barrier1 = barrier.clone();
let barrier2 = barrier.clone();
let handle1 = thread::spawn(move || {
let mut ws = WriteSet::new(Some("table1"));
barrier1.wait(); // Ensure both threads start together
for i in 0..100 {
ws.put(format!("key{i}"), format!("val1_{i}"));
}
ws
});
let handle2 = thread::spawn(move || {
let mut ws = WriteSet::new(Some("table2"));
barrier2.wait(); // Ensure both threads start together
for i in 0..100 {
ws.put(format!("key{i}"), format!("val2_{i}"));
}
ws
});
batch.add_write_set(handle1.join().unwrap());
batch.add_write_set(handle2.join().unwrap());
assert_eq!(batch.total_operations(), 200);
assert_eq!(batch.num_write_sets(), 2);
// Apply atomically
batch.apply(&env).unwrap();
// Verify writes
let txn = env.begin_ro_txn().unwrap();
let db1 = txn.open_db(Some("table1")).unwrap();
let db2 = txn.open_db(Some("table2")).unwrap();
for i in 0..100 {
let key = format!("key{i}");
let val1: Vec<u8> = txn.get(db1.dbi(), key.as_bytes()).unwrap().unwrap();
let val2: Vec<u8> = txn.get(db2.dbi(), key.as_bytes()).unwrap().unwrap();
assert_eq!(val1, format!("val1_{i}").as_bytes());
assert_eq!(val2, format!("val2_{i}").as_bytes());
}
}
#[test]
fn test_parallel_batch_with_deletes() {
let dir = tempdir().unwrap();
let env = Environment::builder().open(dir.path()).unwrap();
// Pre-populate with data
{
let txn = env.begin_rw_txn().unwrap();
let db = txn.open_db(None).unwrap();
for i in 0..10 {
txn.put(db.dbi(), format!("key{i}"), format!("old_val{i}"), WriteFlags::empty())
.unwrap();
}
txn.commit().unwrap();
}
// Prepare mixed operations
let mut ws = WriteSet::new(None);
ws.put(b"key0", b"new_val0"); // Update
ws.put(b"key100", b"new_val100"); // Insert
ws.delete(b"key5"); // Delete
let mut batch = ParallelWriteBatch::new();
batch.add_write_set(ws);
batch.apply(&env).unwrap();
// Verify
let txn = env.begin_ro_txn().unwrap();
let db = txn.open_db(None).unwrap();
let val0: Vec<u8> = txn.get(db.dbi(), b"key0").unwrap().unwrap();
assert_eq!(val0, b"new_val0");
let val100: Vec<u8> = txn.get(db.dbi(), b"key100").unwrap().unwrap();
assert_eq!(val100, b"new_val100");
let val5: Option<Vec<u8>> = txn.get(db.dbi(), b"key5").unwrap();
assert!(val5.is_none());
// Unchanged keys should still have old values
let val1: Vec<u8> = txn.get(db.dbi(), b"key1").unwrap().unwrap();
assert_eq!(val1, b"old_val1");
}
#[test]
fn test_parallel_batch_apply_to_existing_txn() {
let dir = tempdir().unwrap();
let env = Environment::builder().open(dir.path()).unwrap();
let mut ws = WriteSet::new(None);
ws.put(b"batch_key", b"batch_val");
let mut batch = ParallelWriteBatch::new();
batch.add_write_set(ws);
// Apply to existing transaction with additional work
let txn = env.begin_rw_txn().unwrap();
let db = txn.open_db(None).unwrap();
// Do some work before applying batch
txn.put(db.dbi(), b"txn_key", b"txn_val", WriteFlags::empty()).unwrap();
// Apply batch
batch.apply_to_txn(&txn).unwrap();
// Do some work after applying batch
txn.put(db.dbi(), b"txn_key2", b"txn_val2", WriteFlags::empty()).unwrap();
txn.commit().unwrap();
// Verify all writes
let txn = env.begin_ro_txn().unwrap();
let db = txn.open_db(None).unwrap();
assert_eq!(txn.get::<Vec<u8>>(db.dbi(), b"batch_key").unwrap().unwrap(), b"batch_val");
assert_eq!(txn.get::<Vec<u8>>(db.dbi(), b"txn_key").unwrap().unwrap(), b"txn_val");
assert_eq!(txn.get::<Vec<u8>>(db.dbi(), b"txn_key2").unwrap().unwrap(), b"txn_val2");
}
#[test]
fn test_parallel_batch_merge() {
let mut batch1 = ParallelWriteBatch::new();
let mut ws1 = WriteSet::new(Some("table1"));
ws1.put(b"k1", b"v1");
batch1.add_write_set(ws1);
let mut batch2 = ParallelWriteBatch::new();
let mut ws2 = WriteSet::new(Some("table2"));
ws2.put(b"k2", b"v2");
batch2.add_write_set(ws2);
batch1.merge(batch2);
assert_eq!(batch1.num_write_sets(), 2);
assert_eq!(batch1.total_operations(), 2);
}
#[test]
fn test_high_volume_parallel_writes() {
let dir = tempdir().unwrap();
let env = Environment::builder()
.set_max_dbs(10)
.set_geometry(crate::Geometry {
size: Some(0..=1024 * 1024 * 1024), // 1GB max
..Default::default()
})
.open(dir.path())
.unwrap();
// Create tables
{
let txn = env.begin_rw_txn().unwrap();
for i in 0..3 {
txn.create_db(Some(&format!("table{i}")), DatabaseFlags::empty()).unwrap();
}
txn.commit().unwrap();
}
const OPS_PER_TABLE: usize = 10_000;
// Spawn threads to prepare writes
let handles: Vec<_> = (0..3)
.map(|table_idx| {
thread::spawn(move || {
let mut ws =
WriteSet::with_capacity(Some(&format!("table{table_idx}")), OPS_PER_TABLE);
for i in 0..OPS_PER_TABLE {
let key = format!("{table_idx}_{i:08}");
let value = vec![table_idx as u8; 100]; // 100 byte values
ws.put(key, value);
}
ws
})
})
.collect();
let mut batch = ParallelWriteBatch::with_capacity(3);
for handle in handles {
batch.add_write_set(handle.join().unwrap());
}
assert_eq!(batch.total_operations(), OPS_PER_TABLE * 3);
// Apply and measure
let start = std::time::Instant::now();
let latency = batch.apply(&env).unwrap();
let elapsed = start.elapsed();
println!(
"Applied {} ops in {:?} (commit: {:?})",
OPS_PER_TABLE * 3,
elapsed,
latency.whole()
);
// Verify a sample
let txn = env.begin_ro_txn().unwrap();
for table_idx in 0..3 {
let db = txn.open_db(Some(&format!("table{table_idx}"))).unwrap();
let key = format!("{table_idx}_{:08}", OPS_PER_TABLE / 2);
let val: Vec<u8> = txn.get(db.dbi(), key.as_bytes()).unwrap().unwrap();
assert_eq!(val.len(), 100);
assert!(val.iter().all(|&b| b == table_idx as u8));
}
}
}