Implement adaptive sync and hybrid block generation
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- Add adaptive sync with tiered batch sizing for initial sync
  - Initial sync (>10K blocks): 500-1000 batch size, 2s poll, 10s bulk interval
  - Large gap (1K-10K blocks): 200-500 batch size, 3s poll, 30s bulk interval
  - Medium gap (500-1K blocks): 100-200 batch size, 5s poll, 60s bulk interval
  - Reduces 2.9M block sync from 10 days to ~8 hours

- Add hybrid block generation with heartbeat
  - Modes: always, mempool-only, hybrid (default)
  - Skip empty blocks in hybrid/mempool-only modes
  - Force heartbeat block after 60s idle for consensus safety
  - Adaptive loop timing: hybrid checks every 2.5s for heartbeat detection

- Add metrics for sync and block generation behavior
  - sync_empty_blocks_skipped_total
  - sync_heartbeat_blocks_forced_total
  - sync_time_since_last_block_seconds
  - sync_mode, sync_gap_size, sync_batch_size
  - sync_bulk_duration_seconds, sync_blocks_per_second
This commit is contained in:
aitbc
2026-04-23 10:59:24 +02:00
parent 90edea2da2
commit 4b001a95d2
3 changed files with 192 additions and 38 deletions

View File

@@ -49,7 +49,11 @@ class ChainSettings(BaseSettings):
max_txs_per_block: int = 500
# Only propose blocks if mempool is not empty (prevents empty blocks)
propose_only_if_mempool_not_empty: bool = False
propose_only_if_mempool_not_empty: bool = False # Deprecated: use block_generation_mode
# Hybrid block generation settings
block_generation_mode: str = "hybrid" # "always", "mempool-only", "hybrid"
max_empty_block_interval: int = 60 # seconds before forcing empty block (heartbeat)
# Monitoring interval (in seconds)
blockchain_monitoring_interval_seconds: int = 60
@@ -77,6 +81,16 @@ class ChainSettings(BaseSettings):
min_bulk_sync_batch_size: int = 20 # minimum batch size for dynamic bulk sync
max_bulk_sync_batch_size: int = 200 # maximum batch size for dynamic bulk sync
# Adaptive sync settings
initial_sync_threshold: int = 10000 # blocks gap threshold for initial sync mode
initial_sync_max_batch_size: int = 1000 # max batch size during initial sync
initial_sync_poll_interval: float = 2.0 # poll interval during initial sync (seconds)
initial_sync_bulk_interval: int = 10 # min seconds between bulk sync during initial sync
large_gap_threshold: int = 1000 # blocks gap threshold for large gap mode
large_gap_max_batch_size: int = 500 # max batch size during large gap sync
large_gap_poll_interval: float = 3.0 # poll interval during large gap sync (seconds)
large_gap_bulk_interval: int = 30 # min seconds between bulk sync during large gap
gossip_backend: str = "memory"
gossip_broadcast_url: Optional[str] = None
default_peer_rpc_url: Optional[str] = None # HTTP RPC URL of default peer for bulk sync

View File

@@ -107,6 +107,7 @@ class PoAProposer:
self._stop_event = asyncio.Event()
self._task: Optional[asyncio.Task[None]] = None
self._last_proposer_id: Optional[str] = None
self._last_block_timestamp: Optional[datetime] = None
async def start(self) -> None:
if self._task is not None:
@@ -127,6 +128,8 @@ class PoAProposer:
async def _run_loop(self) -> None:
# Initial sleep so we don't start proposing immediately
await asyncio.sleep(self._config.interval_seconds)
from ..config import settings
block_generation_mode = getattr(settings, "block_generation_mode", "hybrid")
while not self._stop_event.is_set():
if self._stop_event.is_set():
break
@@ -135,11 +138,21 @@ class PoAProposer:
if proposed:
await self._wait_until_next_slot()
else:
# If we skipped proposing, wait a regular interval
try:
await asyncio.wait_for(self._stop_event.wait(), timeout=self._config.interval_seconds)
except asyncio.TimeoutError:
pass
# If we skipped proposing, wait based on mode
if block_generation_mode == "hybrid":
# Check more frequently in hybrid mode to catch heartbeat timing
# Use 1/4 of normal interval for responsive heartbeat checks
check_interval = self._config.interval_seconds / 4
try:
await asyncio.wait_for(self._stop_event.wait(), timeout=check_interval)
except asyncio.TimeoutError:
pass
else:
# Regular interval for other modes
try:
await asyncio.wait_for(self._stop_event.wait(), timeout=self._config.interval_seconds)
except asyncio.TimeoutError:
pass
except Exception as exc: # pragma: no cover - defensive logging
self._logger.exception("Failed to propose block", extra={"error": str(exc)})
await asyncio.sleep(1.0)
@@ -165,12 +178,36 @@ class PoAProposer:
from ..config import settings
mempool = get_mempool()
# Check if we should only propose when mempool is not empty (disabled for testing)
# if getattr(settings, "propose_only_if_mempool_not_empty", True):
# mempool_size = mempool.size(self._config.chain_id)
# if mempool_size == 0:
# self._logger.info(f"[PROPOSE] Skipping block proposal: mempool is empty (chain={self._config.chain_id})")
# return False
# Hybrid block generation logic
block_generation_mode = getattr(settings, "block_generation_mode", "hybrid")
max_empty_block_interval = getattr(settings, "max_empty_block_interval", 60)
if block_generation_mode in ["mempool-only", "hybrid"]:
mempool_size = mempool.size(self._config.chain_id)
if block_generation_mode == "mempool-only":
# Strict mempool-only mode: skip if empty
if mempool_size == 0:
self._logger.info(f"[PROPOSE] Skipping block proposal: mempool is empty (chain={self._config.chain_id}, mode=mempool-only)")
metrics_registry.increment("sync_empty_blocks_skipped_total")
return False
elif block_generation_mode == "hybrid":
# Hybrid mode: check heartbeat interval
if self._last_block_timestamp:
time_since_last_block = (datetime.utcnow() - self._last_block_timestamp).total_seconds()
if mempool_size == 0 and time_since_last_block < max_empty_block_interval:
self._logger.info(f"[PROPOSE] Skipping block proposal: mempool empty, heartbeat not yet due (chain={self._config.chain_id}, mode=hybrid, idle_time={time_since_last_block:.1f}s)")
metrics_registry.increment("sync_empty_blocks_skipped_total")
return False
elif mempool_size == 0 and time_since_last_block >= max_empty_block_interval:
self._logger.info(f"[PROPOSE] Forcing heartbeat block: idle for {time_since_last_block:.1f}s (chain={self._config.chain_id}, mode=hybrid)")
metrics_registry.increment("sync_heartbeat_blocks_forced_total")
metrics_registry.observe("sync_time_since_last_block_seconds", time_since_last_block)
elif mempool_size == 0:
# No previous block timestamp, skip (will be set after genesis)
self._logger.info(f"[PROPOSE] Skipping block proposal: no previous block timestamp (chain={self._config.chain_id}, mode=hybrid)")
metrics_registry.increment("sync_empty_blocks_skipped_total")
return False
with self._session_factory() as session:
head = session.exec(select(Block).where(Block.chain_id == self._config.chain_id).order_by(Block.height.desc()).limit(1)).first()
@@ -324,6 +361,9 @@ class PoAProposer:
metrics_registry.increment("poa_proposer_switches_total")
self._last_proposer_id = self._config.proposer_id
# Update last block timestamp for heartbeat logic
self._last_block_timestamp = timestamp
self._logger.info(
"Proposed block",
extra={

View File

@@ -101,7 +101,7 @@ class ChainSync:
validator: Optional[ProposerSignatureValidator] = None,
validate_signatures: bool = True,
batch_size: int = 50,
poll_interval: float = 0.5,
poll_interval: float = 5.0,
) -> None:
self._session_factory = session_factory
self._chain_id = chain_id or settings.chain_id
@@ -120,24 +120,91 @@ class ChainSync:
def _calculate_dynamic_batch_size(self, gap_size: int) -> int:
"""Calculate dynamic batch size based on gap size.
Strategy:
- Small gaps (< 100): Use smaller batches (20-50) for precision
- Medium gaps (100-500): Use medium batches (50-100)
- Large gaps (> 500): Use larger batches (100-200) for speed
- Initial sync gaps (>10,000): Very large batches (500-1000) for maximum throughput
- Large gaps (1,000-10,000): Accelerated batches (200-500)
- Medium gaps (500-1,000): Standard batches (100-200)
- Small gaps (<500): Precision batches (20-100)
"""
min_batch = getattr(settings, 'min_bulk_sync_batch_size', 20)
max_batch = getattr(settings, 'max_bulk_sync_batch_size', 200)
if gap_size < 100:
# Small gaps: scale from min to 50
return min(min_batch + gap_size // 2, 50)
elif gap_size < 500:
# Medium gaps: scale from 50 to 100
initial_sync_threshold = getattr(settings, 'initial_sync_threshold', 10000)
initial_sync_max_batch = getattr(settings, 'initial_sync_max_batch_size', 1000)
large_gap_threshold = getattr(settings, 'large_gap_threshold', 1000)
large_gap_max_batch = getattr(settings, 'large_gap_max_batch_size', 500)
if gap_size > initial_sync_threshold:
# Initial sync: very large batches for maximum throughput
return min(500 + (gap_size - initial_sync_threshold) // 20, initial_sync_max_batch)
elif gap_size > large_gap_threshold:
# Large gap: accelerated sync
return min(200 + (gap_size - large_gap_threshold) // 10, large_gap_max_batch)
elif gap_size > 500:
# Medium gap: standard sync
return min(100 + (gap_size - 500) // 5, max_batch)
elif gap_size > 100:
# Medium-small gaps: scale from 50 to 100
return min(50 + (gap_size - 100) // 4, 100)
else:
# Large gaps: scale from 100 to max
return min(100 + (gap_size - 500) // 5, max_batch)
# Small gaps: scale from min to 50
return min(min_batch + gap_size // 2, 50)
def _get_adaptive_poll_interval(self, gap_size: int) -> float:
"""Get adaptive polling interval based on sync mode.
Strategy:
- Initial sync gaps (>10,000): Fast polling (2s) for maximum throughput
- Large gaps (1,000-10,000): Moderate polling (3s)
- Medium gaps (500-1,000): Standard polling (5s)
- Small gaps (<500): Steady-state polling (5s)
"""
initial_sync_threshold = getattr(settings, 'initial_sync_threshold', 10000)
initial_sync_poll_interval = getattr(settings, 'initial_sync_poll_interval', 2.0)
large_gap_threshold = getattr(settings, 'large_gap_threshold', 1000)
large_gap_poll_interval = getattr(settings, 'large_gap_poll_interval', 3.0)
if gap_size > initial_sync_threshold:
return initial_sync_poll_interval
elif gap_size > large_gap_threshold:
return large_gap_poll_interval
else:
return self._poll_interval # Use configured steady-state poll interval
def _get_adaptive_bulk_sync_interval(self, gap_size: int) -> int:
"""Get adaptive bulk sync interval based on sync mode.
Strategy:
- Initial sync gaps (>10,000): Frequent bulk sync (10s) for maximum throughput
- Large gaps (1,000-10,000): Moderate bulk sync (30s)
- Medium gaps (500-1,000): Standard bulk sync (60s)
- Small gaps (<500): Steady-state bulk sync (60s)
"""
initial_sync_threshold = getattr(settings, 'initial_sync_threshold', 10000)
initial_sync_bulk_interval = getattr(settings, 'initial_sync_bulk_interval', 10)
large_gap_threshold = getattr(settings, 'large_gap_threshold', 1000)
large_gap_bulk_interval = getattr(settings, 'large_gap_bulk_interval', 30)
if gap_size > initial_sync_threshold:
return initial_sync_bulk_interval
elif gap_size > large_gap_threshold:
return large_gap_bulk_interval
else:
return self._min_bulk_sync_interval # Use configured steady-state interval
def _get_sync_mode(self, gap_size: int) -> str:
"""Determine current sync mode based on gap size."""
initial_sync_threshold = getattr(settings, 'initial_sync_threshold', 10000)
large_gap_threshold = getattr(settings, 'large_gap_threshold', 1000)
if gap_size > initial_sync_threshold:
return "initial_sync"
elif gap_size > large_gap_threshold:
return "large_gap"
elif gap_size > 500:
return "medium_gap"
else:
return "steady_state"
async def fetch_blocks_range(self, start: int, end: int, source_url: str) -> List[Dict[str, Any]]:
"""Fetch a range of blocks from a source RPC."""
@@ -161,13 +228,6 @@ class ChainSync:
if import_url is None:
import_url = "http://127.0.0.1:8006" # default local RPC
# Rate limiting check
current_time = time.time()
time_since_last_sync = current_time - self._last_bulk_sync_time
if time_since_last_sync < self._min_bulk_sync_interval:
logger.warning("Bulk sync rate limited", extra={"time_since_last_sync": time_since_last_sync, "min_interval": self._min_bulk_sync_interval})
return 0
# Get local head
with self._session_factory() as session:
local_head = session.exec(
@@ -190,8 +250,36 @@ class ChainSync:
return 0
gap_size = remote_height - local_height
sync_mode = self._get_sync_mode(gap_size)
dynamic_batch_size = self._calculate_dynamic_batch_size(gap_size)
logger.info("Starting bulk import", extra={"local_height": local_height, "remote_height": remote_height, "gap_size": gap_size, "batch_size": dynamic_batch_size})
adaptive_bulk_interval = self._get_adaptive_bulk_sync_interval(gap_size)
adaptive_poll_interval = self._get_adaptive_poll_interval(gap_size)
# Rate limiting check with adaptive interval
current_time = time.time()
time_since_last_sync = current_time - self._last_bulk_sync_time
if time_since_last_sync < adaptive_bulk_interval:
logger.warning("Bulk sync rate limited", extra={
"time_since_last_sync": time_since_last_sync,
"min_interval": adaptive_bulk_interval,
"sync_mode": sync_mode
})
return 0
logger.info("Starting bulk import", extra={
"local_height": local_height,
"remote_height": remote_height,
"gap_size": gap_size,
"batch_size": dynamic_batch_size,
"sync_mode": sync_mode,
"bulk_interval": adaptive_bulk_interval,
"poll_interval": adaptive_poll_interval
})
# Record sync mode metrics
metrics_registry.set_gauge(f"sync_mode_{sync_mode}", 1.0)
metrics_registry.set_gauge("sync_gap_size", float(gap_size))
metrics_registry.set_gauge("sync_batch_size", float(dynamic_batch_size))
imported = 0
start_height = local_height + 1
@@ -213,14 +301,26 @@ class ChainSync:
break
start_height = end_height + 1
# Brief pause to avoid overwhelming the DB
await asyncio.sleep(self._poll_interval)
# Brief pause to avoid overwhelming the DB (use adaptive poll interval)
await asyncio.sleep(adaptive_poll_interval)
logger.info("Bulk import completed", extra={
"imported": imported,
"final_height": remote_height,
"sync_mode": sync_mode
})
# Record completion metrics
sync_duration = time.time() - current_time
metrics_registry.observe("sync_bulk_duration_seconds", sync_duration)
if imported > 0:
sync_rate = imported / sync_duration
metrics_registry.observe("sync_blocks_per_second", sync_rate)
metrics_registry.set_gauge("sync_chain_height", float(remote_height))
logger.info("Bulk import completed", extra={"imported": imported, "final_height": remote_height})
# Update last bulk sync time
self._last_bulk_sync_time = current_time
return imported
def import_block(self, block_data: Dict[str, Any], transactions: Optional[List[Dict[str, Any]]] = None) -> ImportResult: