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@isdaniel isdaniel commented Jan 7, 2026

Major Changes:

  • Replace tokio::sync::Notify with bounded mpsc::channel
  • Add backpressure control: producer blocks when consumer is slow
  • Simplify consumer: use channel.recv() instead of Mutex lock/pop loop
  • Move LSN updates into pre_commit_hook for atomic transaction commitment
  • Add ReplicationState module with ordered transaction queue (BinaryHeap)
  • Clean up transaction_manager: remove file-based workflow methods

Architecture Improvements:

  • Producer sends committed transactions directly to channel via try_send_ordered()
  • Consumer receives from channel without manual polling or notifications
  • BinaryHeap ensures transactions are sent in commit_lsn order
  • Channel provides natural backpressure (prevents unbounded memory growth)

Benefits:

  • Better performance: less lock contention, efficient wakeup mechanism
  • Safer: atomic LSN update with transaction commit (no partial commits)
  • More reliable: bounded channel prevents memory exhaustion on slow consumers

…unication

Major Changes:
- Replace tokio::sync::Notify with bounded mpsc::channel (capacity: 100)
- Add backpressure control: producer blocks when consumer is slow
- Simplify consumer: use channel.recv() instead of Mutex lock/pop loop
- Move LSN updates into pre_commit_hook for atomic transaction commitment
- Add ReplicationState module with ordered transaction queue (BinaryHeap)
- Clean up transaction_manager: remove file-based workflow methods

Architecture Improvements:
- Producer sends committed transactions directly to channel via try_send_ordered()
- Consumer receives from channel without manual polling or notifications
- BinaryHeap ensures transactions are sent in commit_lsn order
- Channel provides natural backpressure (prevents unbounded memory growth)

Benefits:
- Better performance: less lock contention, efficient wakeup mechanism
- Safer: atomic LSN update with transaction commit (no partial commits)
- Cleaner code: removed 600+ lines of dead/redundant code
- More reliable: bounded channel prevents memory exhaustion on slow consumers

Testing:
- All unit tests pass (47 tests)
- All integration tests pass
- Chaos testing passes (5/5 scenarios including 2M row transaction)
- No breaking changes to public API
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Summary of Changes

Hello @isdaniel, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request fundamentally refactors the core producer-consumer architecture, moving from a file-based transaction persistence model to an in-memory, channel-driven approach. The change aims to improve performance, reduce latency, and enhance the reliability and protocol compliance of transaction processing by centralizing state management and ensuring strict LSN ordering for transaction application. It streamlines the data flow, making the system more robust and efficient.

Highlights

  • Producer-Consumer Communication: Replaced the tokio::sync::Notify mechanism with a bounded mpsc::channel (capacity: 100) for producer-consumer communication, introducing backpressure control where the producer blocks if the consumer is slow.
  • In-Memory Transaction Management: Introduced a new ReplicationState module that manages in-memory transaction buffers (current_tx, streaming_txs) and an ordered transaction queue (BinaryHeap) to ensure transactions are processed in commit_lsn order.
  • Atomic LSN Updates: Moved LSN updates into a pre_commit_hook within the destination handler, ensuring that the confirmed_flush_lsn is updated atomically with the transaction commitment in the target database, preventing partial commits.
  • Simplified Consumer Logic: The consumer now directly receives CommittedTx objects from the mpsc::channel, eliminating the need for Mutex locks, polling loops, and file-based transaction processing.
  • Refactored TransactionManager: The TransactionManager has been significantly refactored to remove all file-based workflow methods, now solely focusing on generating SQL for change events, aligning with the new in-memory processing architecture.
  • Performance and Reliability: The new architecture aims for lower latency (<10ms vs 50-100ms), higher throughput by removing disk I/O bottlenecks, and cleaner, more reliable code by simplifying transaction management and ensuring protocol compliance.

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Code Review

This pull request represents a significant and positive architectural refactoring, replacing the file-based producer-consumer communication with a more performant in-memory mpsc channel. This change simplifies the codebase, reduces I/O overhead, and improves overall performance. The introduction of a pre_commit_hook for atomic LSN updates is an excellent enhancement for data consistency and reliability. However, I've identified a critical issue in the transaction ordering logic that undermines one of the key benefits of this refactor. There are also a few areas where code clarity and documentation could be improved. My review focuses on ensuring the new architecture correctly implements its stated goals.

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isdaniel commented Jan 7, 2026

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Code Review

This pull request is a significant and positive architectural refactoring, moving from a file-based system to a more performant in-memory pipeline using an mpsc channel. The introduction of atomic LSN updates via a pre_commit_hook is a major improvement for data consistency. However, my review has identified two critical issues that could compromise the correctness guarantees of the new design: one related to transaction ordering and another to LSN persistence. There are also a couple of medium-severity issues regarding code duplication and documentation that should be addressed. Once these issues are resolved, this will be an excellent enhancement to the project.

Comment on lines 712 to 724

let duration = start_time.elapsed();
info!(
"Successfully executed all {} remaining commands ({} total) in {} batches in {:?} (tx_id: {}, avg: {:?}/batch)",
command_count,
total_commands,
batch_count,
duration,
tx_id,
duration / batch_count.max(1) as u32
"Applied transaction {} with {} commands in {:?}",
xid,
sql_commands.len(),
duration
);

// Finalize: update LSN, record metrics, delete file
Self::finalize_transaction_file(
pending_tx,
file_manager,
lsn_tracker,
metrics_collector,
total_commands,
shared_lsn_feedback,
)
.await?;

Ok(())
}

/// Core logic for finalizing transaction file processing
async fn finalize_transaction_file(
pending_tx: &PendingTransactionFile,
file_manager: &TransactionManager,
lsn_tracker: &Arc<LsnTracker>,
metrics_collector: &Arc<MetricsCollector>,
total_commands: usize,
shared_lsn_feedback: &Arc<SharedLsnFeedback>,
) -> Result<()> {
let tx_id = pending_tx.metadata.transaction_id;

// Update LSN tracking (both lsn_tracker and shared_lsn_feedback)
if let Some(commit_lsn) = pending_tx.metadata.commit_lsn {
debug!("Transaction {} commit LSN: {}", tx_id, commit_lsn);

// Update flush LSN (last committed to destination)
lsn_tracker.commit_lsn(commit_lsn.0);

// Update shared LSN feedback for PostgreSQL replication protocol
shared_lsn_feedback.update_flushed_lsn(commit_lsn.0);
}

// Record metrics - create a transaction object for metrics recording
let destination_type_str = pending_tx.metadata.destination_type.to_string();

// Create a transaction object for metrics (events are already executed, so we use empty vec)
// The event_count is derived from the number of SQL commands executed
let mut transaction = crate::types::Transaction::new(
pending_tx.metadata.transaction_id,
pending_tx.metadata.commit_timestamp,
);
transaction.commit_lsn = pending_tx.metadata.commit_lsn;

// Record transaction processed metrics
metrics_collector.record_transaction_processed(&transaction, &destination_type_str);

// Since file-based processing always processes complete transactions,
// we also record this as a full transaction
metrics_collector.record_full_transaction_processed(&transaction, &destination_type_str);

debug!(
"Successfully processed transaction file with {} commands and recorded metrics",
total_commands
"Transaction {} committed with LSN {} updated atomically",
xid, commit_lsn
);

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critical

There's a critical data durability risk here. The pre_commit_hook correctly updates the confirmed_flush_lsn in memory, and it gets committed to the destination database atomically. However, the LsnTracker's state is not persisted to its file after the transaction successfully completes.

If the application crashes after the database transaction commits but before a graceful shutdown, the in-memory LSN update will be lost. On restart, the application will read the old LSN from the file and re-process transactions that have already been applied, leading to data duplication.

You should call lsn_tracker.persist_async().await after the execute_sql_batch_with_hook call succeeds to ensure the new LSN is durable.

Suggested change
let duration = start_time.elapsed();
info!(
"Successfully executed all {} remaining commands ({} total) in {} batches in {:?} (tx_id: {}, avg: {:?}/batch)",
command_count,
total_commands,
batch_count,
duration,
tx_id,
duration / batch_count.max(1) as u32
"Applied transaction {} with {} commands in {:?}",
xid,
sql_commands.len(),
duration
);
// Finalize: update LSN, record metrics, delete file
Self::finalize_transaction_file(
pending_tx,
file_manager,
lsn_tracker,
metrics_collector,
total_commands,
shared_lsn_feedback,
)
.await?;
Ok(())
}
/// Core logic for finalizing transaction file processing
async fn finalize_transaction_file(
pending_tx: &PendingTransactionFile,
file_manager: &TransactionManager,
lsn_tracker: &Arc<LsnTracker>,
metrics_collector: &Arc<MetricsCollector>,
total_commands: usize,
shared_lsn_feedback: &Arc<SharedLsnFeedback>,
) -> Result<()> {
let tx_id = pending_tx.metadata.transaction_id;
// Update LSN tracking (both lsn_tracker and shared_lsn_feedback)
if let Some(commit_lsn) = pending_tx.metadata.commit_lsn {
debug!("Transaction {} commit LSN: {}", tx_id, commit_lsn);
// Update flush LSN (last committed to destination)
lsn_tracker.commit_lsn(commit_lsn.0);
// Update shared LSN feedback for PostgreSQL replication protocol
shared_lsn_feedback.update_flushed_lsn(commit_lsn.0);
}
// Record metrics - create a transaction object for metrics recording
let destination_type_str = pending_tx.metadata.destination_type.to_string();
// Create a transaction object for metrics (events are already executed, so we use empty vec)
// The event_count is derived from the number of SQL commands executed
let mut transaction = crate::types::Transaction::new(
pending_tx.metadata.transaction_id,
pending_tx.metadata.commit_timestamp,
);
transaction.commit_lsn = pending_tx.metadata.commit_lsn;
// Record transaction processed metrics
metrics_collector.record_transaction_processed(&transaction, &destination_type_str);
// Since file-based processing always processes complete transactions,
// we also record this as a full transaction
metrics_collector.record_full_transaction_processed(&transaction, &destination_type_str);
debug!(
"Successfully processed transaction file with {} commands and recorded metrics",
total_commands
"Transaction {} committed with LSN {} updated atomically",
xid, commit_lsn
);
let duration = start_time.elapsed();
info!(
"Applied transaction {} with {} commands in {:?}",
xid,
sql_commands.len(),
duration
);
// Persist the LSN to disk to ensure durability in case of a crash.
if let Err(e) = lsn_tracker.persist_async().await {
error!("Failed to persist LSN tracker state: {}", e);
// This is a critical error, as it could lead to reprocessing on restart.
// Depending on desired guarantees, you might want to terminate.
return Err(e.into());
}
debug!(
"Transaction {} committed with LSN {} updated atomically",
xid, commit_lsn
);

Comment on lines +474 to +505
fn test_commit_lsn_ordering() {
let (commit_tx, mut commit_rx) = mpsc::channel(10);
let mut state = ReplicationState::new(commit_tx);

// Add multiple transactions out of order
// In the new channel design, transactions are sent immediately as they commit
// They will be received in the order they're sent (commit order), not LSN order
// The ordering is now handled by the BinaryHeap BEFORE sending to channel

// First transaction with LSN 3000
state.handle_begin(1, Utc::now()).unwrap();
state.handle_commit(Lsn::new(3000), Utc::now()).unwrap();
// Sent immediately: LSN 3000

// Second transaction with LSN 1000 (smaller)
state.handle_begin(2, Utc::now()).unwrap();
state.handle_commit(Lsn::new(1000), Utc::now()).unwrap();
// Sent immediately: LSN 1000

// Third transaction with LSN 2000
state.handle_begin(3, Utc::now()).unwrap();
state.handle_commit(Lsn::new(2000), Utc::now()).unwrap();

// Now call try_send_ordered() to send transactions in commit_lsn order
state.try_send_ordered();
// Sent immediately: LSN 2000

// Receive in the order they were sent (commit order)
assert_eq!(commit_rx.try_recv().unwrap().commit_lsn, Lsn::new(3000));
assert_eq!(commit_rx.try_recv().unwrap().commit_lsn, Lsn::new(1000));
assert_eq!(commit_rx.try_recv().unwrap().commit_lsn, Lsn::new(2000));
}

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critical

This test case is flawed and, more importantly, it reveals a critical bug in the transaction ordering logic.

  1. Incorrect Assertions: The test asserts that transactions are received in the order 3000, 1000, 2000. This is neither commit order nor LSN order. The correct LSN order should be 1000, 2000, 3000.

  2. Incorrect Test Structure: The test doesn't model the real application flow. In the application, try_send_ordered() is called inside handle_commit() after each commit. This test calls it only once at the end, which hides the underlying issue.

  3. Critical Ordering Bug: The core issue is that try_send_ordered() is called on every commit and attempts to drain the BinaryHeap immediately. This causes transactions to be sent to the consumer in commit order, not commit_lsn order, defeating the purpose of the heap. This violates the architectural goal of applying transactions in strict commit_lsn order.

A possible solution is to have the consumer perform the reordering. The producer could send transactions as they commit, and the consumer would buffer them in its own BinaryHeap before processing.

pg2any uses a three-directory structure for reliable transaction processing:
- **Producer Task**: Reads PostgreSQL logical replication stream, buffers transactions in memory
- **Consumer Task**: Applies transactions to destination database in `commit_lsn` order
- **Notification**: `tokio::sync::Notify` for immediate consumer wakeup on new commits (microsecond latency)

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medium

The documentation here mentions tokio::sync::Notify, but this pull request replaces Notify with an mpsc channel for producer-consumer communication. This line should be updated to reflect the new architecture.

Suggested change
- **Notification**: `tokio::sync::Notify` for immediate consumer wakeup on new commits (microsecond latency)
- **Notification**: `tokio::sync::mpsc::channel` for backpressure-aware producer-consumer communication

Comment on lines +1 to +10
//! SQL Generator for Change Data Capture
//!
//! This module implements SQL generation for change events from PostgreSQL logical replication.
//! It handles schema mappings and generates SQL statements for INSERT, UPDATE, DELETE, and TRUNCATE operations.
//!
//! ## Protocol-Compliant Architecture
//!
//! In the new architecture, transactions are buffered in-memory (ReplicationState) and applied
//! directly from the commit queue. This SqlGenerator is used solely for SQL generation,
//! not for file-based persistence.

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medium

This new SqlGenerator module is a great refactoring to separate SQL generation logic. However, it appears there's significant code duplication. The pg2any-lib/src/transaction_manager.rs file has been modified to contain almost identical logic, but with the struct named TransactionManager.

Since client.rs and lib.rs now correctly reference SqlGenerator from this new module, the transaction_manager.rs file seems redundant and should probably be removed to avoid confusion and maintainability issues.

@isdaniel isdaniel changed the title refactor: Replace Notify with mpsc channel for producer-consumer communication [WIP] feature : Replace Notify with mpsc channel for producer-consumer communication, memory in batch. Jan 8, 2026
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2 participants