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Author SHA1 Message Date
phernandez 615d8ba685 perf: Add batch processing for Postgres sync optimization
Implements streaming batch processing to reduce database roundtrips from 50K-80K to ~4K-6K for large projects (10K files).

**Phase 1: Scan Optimization**
- Add entity_repository.get_by_file_paths_batch() for bulk entity fetching
- Reduces scan phase from N queries to 1 batched query
- Impact: 427 files scanned with 2 queries vs 427 before

**Phase 2: Batch Infrastructure**
- Add sync_batch_size config (default: 100 files per batch)
- Add chunks() utility for streaming batch processing
- Add entity_repository.upsert_entities() for bulk inserts/updates
- Add observation_repository.delete_by_entity_ids() for batch deletes
- Add relation_repository.delete_outgoing_relations_from_entities() for batch deletes

**Phase 3: Sync Phase Optimization**
- Add sync_markdown_batch() method with 3-phase processing:
  1. Parse all files in batch (no DB operations)
  2. Bulk upsert entities in single transaction
  3. Post-process relations, checksums, search indexing per file
- Update new/modified file loops to use batch processing
- Add exception handling for circuit breaker and fatal errors
- Separate markdown/regular file processing in batches

**Test Updates**
- Update circuit breaker tests to work with batch architecture
- Change mocks from sync_markdown_file to sync_markdown_batch
- Update fatal error test to mock upsert_entities
- All circuit breaker tests passing (8/8)

**Expected Performance**
- Initial bulk import: ~10-15 queries/file (vs 43 before)
- Incremental sync: Massive scan improvement + batch upsert benefits
- Handles both new files and existing files efficiently

Addresses N+1 query patterns and transaction overhead with remote Postgres databases while maintaining circuit breaker functionality and proper error handling.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-20 21:16:04 -06:00
7 changed files with 545 additions and 47 deletions
+6
View File
@@ -132,6 +132,12 @@ class BasicMemoryConfig(BaseSettings):
gt=0,
)
sync_batch_size: int = Field(
default=100,
description="Number of files to process in a single database transaction during sync. Higher values improve performance with remote databases (Postgres) but increase memory usage. Typical values: 100 (conservative), 500 (balanced), 1000 (aggressive).",
gt=0,
)
kebab_filenames: bool = Field(
default=False,
description="Format for generated filenames. False preserves spaces and special chars, True converts them to hyphens for consistency with permalinks",
@@ -63,6 +63,38 @@ class EntityRepository(Repository[Entity]):
)
return await self.find_one(query)
async def get_by_file_paths_batch(
self, file_paths: Sequence[Union[Path, str]]
) -> dict[str, Entity]:
"""Batch fetch entities by file paths with eager-loaded relationships.
Optimized for scan operations - reduces N queries to 1 batched query.
Returns entities with relationships already loaded via selectinload.
Args:
file_paths: List of file paths to fetch entities for
Returns:
Dict mapping file_path (as posix string) -> Entity
Only includes entities that exist; missing files are not in dict
"""
if not file_paths:
return {}
# Convert all paths to posix strings
posix_paths = [Path(p).as_posix() for p in file_paths]
# Batch query with eager loading
query = (
self.select().where(Entity.file_path.in_(posix_paths)).options(*self.get_load_options())
)
result = await self.execute_query(query)
entities = list(result.scalars().all())
# Return as dict for O(1) lookup
return {e.file_path: e for e in entities}
async def find_by_checksum(self, checksum: str) -> Sequence[Entity]:
"""Find entities with the given checksum.
@@ -338,3 +370,80 @@ class EntityRepository(Repository[Entity]):
# Re-raise if not a foreign key error
raise
return entity
async def upsert_entities(self, entities: List[Entity]) -> List[Entity]:
"""Bulk insert or update multiple entities in a single transaction.
Optimized for batch operations with remote databases (Postgres).
Handles conflicts the same way as upsert_entity() but processes
all entities in one transaction.
Args:
entities: List of entities to upsert
Returns:
List of upserted entities with relationships loaded
Raises:
SyncFatalError: If any entity references a non-existent project_id
"""
if not entities:
return []
async with db.scoped_session(self.session_maker) as session:
# Set project_id on all entities if needed
for entity in entities:
self._set_project_id_if_needed(entity)
# Try to add all entities
for entity in entities:
session.add(entity)
try:
await session.flush()
# Fetch all entities with relationships loaded
file_paths = [e.file_path for e in entities]
query = (
self.select()
.where(Entity.file_path.in_(file_paths))
.options(*self.get_load_options())
)
result = await session.execute(query)
return list(result.scalars().all())
except IntegrityError as e:
# Check for foreign key constraint failures
error_str = str(e)
if (
"FOREIGN KEY constraint failed" in error_str
or "violates foreign key constraint" in error_str
):
from basic_memory.services.exceptions import SyncFatalError
raise SyncFatalError(
"Cannot sync entities: project_id does not exist in database. "
"The project may have been deleted. This sync will be terminated."
) from e
# For other integrity errors (file_path or permalink conflicts),
# rollback and fall back to individual processing
await session.rollback()
# Process each entity individually to handle conflicts properly
logger.debug(
f"Batch upsert failed with IntegrityError, falling back to individual upserts for {len(entities)} entities"
)
result_entities = []
for entity in entities:
try:
upserted = await self.upsert_entity(entity)
result_entities.append(upserted)
except Exception as individual_error:
logger.error(
f"Failed to upsert entity {entity.file_path}: {individual_error}"
)
# Continue with other entities
return result_entities
@@ -70,3 +70,33 @@ class ObservationRepository(Repository[Observation]):
observations_by_entity[obs.entity_id].append(obs)
return observations_by_entity
async def delete_by_entity_ids(self, entity_ids: List[int]) -> int:
"""Delete all observations for multiple entities in a single query.
Optimized for batch operations - deletes observations for many entities
in one database transaction.
Args:
entity_ids: List of entity IDs whose observations should be deleted
Returns:
Number of observations deleted
"""
if not entity_ids:
return 0
from basic_memory import db
async with db.scoped_session(self.session_maker) as session:
# Use bulk delete with IN clause
query = select(Observation).where(Observation.entity_id.in_(entity_ids))
result = await session.execute(query)
observations_to_delete = result.scalars().all()
# Delete all observations
for obs in observations_to_delete:
await session.delete(obs)
await session.flush()
return len(observations_to_delete)
@@ -67,6 +67,27 @@ class RelationRepository(Repository[Relation]):
async with db.scoped_session(self.session_maker) as session:
await session.execute(delete(Relation).where(Relation.from_id == entity_id))
async def delete_outgoing_relations_from_entities(self, entity_ids: List[int]) -> int:
"""Delete outgoing relations for multiple entities in a single query.
Optimized for batch operations - deletes relations for many entities
in one database transaction. Only deletes relations where these entities
are the source (from_id).
Args:
entity_ids: List of entity IDs whose outgoing relations should be deleted
Returns:
Number of relations deleted
"""
if not entity_ids:
return 0
async with db.scoped_session(self.session_maker) as session:
# Use bulk delete with IN clause
result = await session.execute(delete(Relation).where(Relation.from_id.in_(entity_ids)))
return result.rowcount or 0
async def find_unresolved_relations(self) -> Sequence[Relation]:
"""Find all unresolved relations, where to_id is null."""
query = select(Relation).filter(Relation.to_id.is_(None))
+340 -32
View File
@@ -31,6 +31,7 @@ from basic_memory.services import EntityService, FileService
from basic_memory.services.exceptions import SyncFatalError
from basic_memory.services.link_resolver import LinkResolver
from basic_memory.services.search_service import SearchService
from basic_memory.sync.utils import chunks
# Circuit breaker configuration
MAX_CONSECUTIVE_FAILURES = 3
@@ -299,38 +300,139 @@ class SyncService:
for path in report.deleted:
await self.handle_delete(path)
# then new and modified
with logfire.span("process_new_files", new_count=len(report.new)):
for path in report.new:
entity, _ = await self.sync_file(path, new=True)
# then new and modified - process in batches for better performance
batch_size = self.app_config.sync_batch_size
logger.debug(f"Using batch size of {batch_size} for file processing")
# Track if file was skipped
if entity is None and await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
with logfire.span("process_new_files", new_count=len(report.new)):
# Convert set to list for batching
new_files_list = list(report.new)
for batch in chunks(new_files_list, batch_size):
logger.debug(f"Processing batch of {len(batch)} new files")
# Separate markdown and non-markdown files
markdown_files = [p for p in batch if self.file_service.is_markdown(p)]
regular_files = [p for p in batch if not self.file_service.is_markdown(p)]
# Batch process markdown files
if markdown_files:
try:
batch_results = await self.sync_markdown_batch(markdown_files, new=True)
# Track skipped files
for path, (entity, _) in zip(markdown_files, batch_results):
if entity is None and await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
)
)
except SyncFatalError:
# Re-raise fatal errors immediately
raise
except Exception as e:
# Batch method raised an exception - record failure for all files in batch
logger.error(f"Batch sync failed for {len(markdown_files)} files: {e}")
for path in markdown_files:
await self._record_failure(path, str(e))
# Track skipped files
if await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
)
)
# Process regular files individually (they're already fast)
for path in regular_files:
entity, _ = await self.sync_file(path, new=True)
# Track if file was skipped
if entity is None and await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
)
)
)
with logfire.span("process_modified_files", modified_count=len(report.modified)):
for path in report.modified:
entity, _ = await self.sync_file(path, new=False)
# Convert set to list for batching
modified_files_list = list(report.modified)
# Track if file was skipped
if entity is None and await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
for batch in chunks(modified_files_list, batch_size):
logger.debug(f"Processing batch of {len(batch)} modified files")
# Separate markdown and non-markdown files
markdown_files = [p for p in batch if self.file_service.is_markdown(p)]
regular_files = [p for p in batch if not self.file_service.is_markdown(p)]
# Batch process markdown files
if markdown_files:
try:
batch_results = await self.sync_markdown_batch(markdown_files, new=False)
# Track skipped files
for path, (entity, _) in zip(markdown_files, batch_results):
if entity is None and await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
)
)
except SyncFatalError:
# Re-raise fatal errors immediately
raise
except Exception as e:
# Batch method raised an exception - record failure for all files in batch
logger.error(f"Batch sync failed for {len(markdown_files)} files: {e}")
for path in markdown_files:
await self._record_failure(path, str(e))
# Track skipped files
if await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
)
)
# Process regular files individually (they're already fast)
for path in regular_files:
entity, _ = await self.sync_file(path, new=False)
# Track if file was skipped
if entity is None and await self._should_skip_file(path):
failure_info = self._file_failures[path]
report.skipped_files.append(
SkippedFile(
path=path,
reason=failure_info.last_error,
failure_count=failure_info.count,
first_failed=failure_info.first_failure,
)
)
)
# Only resolve relations if there were actual changes
# If no files changed, no new unresolved relations could have been created
@@ -484,6 +586,12 @@ class SyncService:
logger.debug(f"Processing {len(file_paths_to_scan)} files with mtime-based comparison")
# Optimization: Batch fetch all entities for files being scanned
# This reduces N queries to 1 batch query (massive performance win for remote DBs)
logger.debug(f"Batch fetching entities for {len(file_paths_to_scan)} files")
entities_by_path = await self.entity_repository.get_by_file_paths_batch(file_paths_to_scan)
logger.debug(f"Found {len(entities_by_path)} existing entities in database")
for rel_path in file_paths_to_scan:
scanned_paths.add(rel_path)
@@ -495,8 +603,8 @@ class SyncService:
stat_info = abs_path.stat()
# Indexed lookup - single file query (not full table scan)
db_entity = await self.entity_repository.get_by_file_path(rel_path)
# O(1) dict lookup instead of database query
db_entity = entities_by_path.get(rel_path)
if db_entity is None:
# New file - need checksum for move detection
@@ -737,6 +845,206 @@ class SyncService:
# Return the final checksum to ensure everything is consistent
return entity, final_checksum
@logfire.instrument()
async def sync_markdown_batch(
self, paths: List[str], new: bool = True
) -> List[Tuple[Optional[Entity], str]]:
"""Sync multiple markdown files in a single batch operation.
Optimized for remote databases (Postgres) - reduces N queries to 1 batch query.
Parses all files first, then does all database operations in one transaction.
Args:
paths: List of paths to markdown files
new: Whether these are new files
Returns:
List of tuples (entity, checksum) for each file
"""
from basic_memory.markdown.utils import entity_model_from_markdown
if not paths:
return []
logger.debug(f"Batch syncing {len(paths)} markdown files (new={new})")
# Phase 1: Parse all files (no DB operations)
parsed_files = []
for path in paths:
# Check if file should be skipped due to repeated failures (circuit breaker)
if await self._should_skip_file(path):
logger.warning(f"Skipping file in batch due to repeated failures: {path}")
parsed_files.append(None)
continue
try:
file_content = await self.file_service.read_file_content(path)
file_contains_frontmatter = has_frontmatter(file_content)
# Get file timestamps for tracking modification times
file_stats = self.file_service.file_stats(path)
created = datetime.fromtimestamp(file_stats.st_ctime).astimezone()
modified = datetime.fromtimestamp(file_stats.st_mtime).astimezone()
# Parse markdown to get entity structure
entity_markdown = await self.entity_parser.parse_file(path)
# Resolve permalink if needed (skip conflict checks during batch)
permalink = entity_markdown.frontmatter.permalink
if file_contains_frontmatter and not self.app_config.disable_permalinks:
permalink = await self.entity_service.resolve_permalink(
path, markdown=entity_markdown, skip_conflict_check=True
)
# If permalink changed, update the file
if permalink != entity_markdown.frontmatter.permalink:
logger.info(
f"Updating permalink for path: {path}, "
f"old_permalink: {entity_markdown.frontmatter.permalink}, "
f"new_permalink: {permalink}"
)
entity_markdown.frontmatter.metadata["permalink"] = permalink
await self.file_service.update_frontmatter(path, {"permalink": permalink})
# Convert to entity model (without saving to DB yet)
entity_model = entity_model_from_markdown(Path(path), entity_markdown)
entity_model.checksum = None # Will be set after relations are resolved
parsed_files.append(
{
"path": path,
"entity_model": entity_model,
"entity_markdown": entity_markdown,
"created": created,
"modified": modified,
"mtime": file_stats.st_mtime,
"size": file_stats.st_size,
}
)
except Exception as e:
# Check if this is a fatal error (or caused by one)
# Fatal errors like project deletion should terminate sync immediately
if isinstance(e, SyncFatalError) or isinstance(e.__cause__, SyncFatalError):
logger.error(
f"Fatal sync error encountered during batch parse, terminating sync: path={path}"
)
raise
# Otherwise treat as recoverable file-level error
logger.error(f"Failed to parse file in batch: path={path}, error={e}")
# Track failure for circuit breaker
await self._record_failure(path, str(e))
parsed_files.append(None) # Mark as failed
# Phase 2: Batch database operations
# Filter out failed parses
valid_files = [f for f in parsed_files if f is not None]
if not valid_files:
logger.warning("No valid files to sync in batch")
return [(None, "") for _ in paths]
# If this is a new batch, upsert all entities at once
if new:
entities_to_upsert = [f["entity_model"] for f in valid_files]
logger.debug(f"Batch upserting {len(entities_to_upsert)} new entities")
upserted_entities = await self.entity_repository.upsert_entities(entities_to_upsert)
# Create lookup by file_path for O(1) access
entities_by_path = {e.file_path: e for e in upserted_entities}
# If updating existing entities, we need to handle observations/relations differently
else:
logger.debug(f"Batch updating {len(valid_files)} existing entities")
# For updates, we need to:
# 1. Get existing entities
# 2. Delete old observations/relations
# 3. Upsert updated entities
file_paths = [f["path"] for f in valid_files]
existing_entities = await self.entity_repository.get_by_file_paths_batch(file_paths)
# Delete old observations and relations in batch
entity_ids = [e.id for e in existing_entities.values() if e.id]
if entity_ids:
await self.entity_service.observation_repository.delete_by_entity_ids(entity_ids)
await self.relation_repository.delete_outgoing_relations_from_entities(entity_ids)
# Upsert all updated entities
entities_to_upsert = [f["entity_model"] for f in valid_files]
upserted_entities = await self.entity_repository.upsert_entities(entities_to_upsert)
# Create lookup by file_path
entities_by_path = {e.file_path: e for e in upserted_entities}
# Phase 3: Post-processing (relations, checksums, search index)
results = []
for i, path in enumerate(paths):
parsed_file = parsed_files[i]
# Skip failed files
if parsed_file is None:
results.append((None, ""))
continue
entity = entities_by_path.get(parsed_file["path"])
if entity is None:
logger.error(f"Entity not found after upsert: {parsed_file['path']}")
results.append((None, ""))
continue
try:
# Update relations for this entity
entity_with_relations = await self.entity_service.update_entity_relations(
parsed_file["path"], parsed_file["entity_markdown"]
)
# Compute final checksum after relations are resolved
final_checksum = await self.file_service.compute_checksum(parsed_file["path"])
# Update checksum, timestamps, and file metadata
await self.entity_repository.update(
entity.id,
{
"checksum": final_checksum,
"created_at": parsed_file["created"],
"updated_at": parsed_file["modified"],
"mtime": parsed_file["mtime"],
"size": parsed_file["size"],
},
)
# Index for search
await self.search_service.index_entity(entity_with_relations)
# Clear failure tracking on successful sync
self._clear_failure(parsed_file["path"])
results.append((entity_with_relations, final_checksum))
logger.debug(
f"Batch sync completed for file: path={parsed_file['path']}, "
f"entity_id={entity.id}, checksum={final_checksum[:8]}"
)
except Exception as e:
# Check if this is a fatal error
if isinstance(e, SyncFatalError) or isinstance(e.__cause__, SyncFatalError):
logger.error(
f"Fatal sync error during post-processing, terminating sync: path={parsed_file['path']}"
)
raise
# Otherwise treat as recoverable file-level error
logger.error(
f"Failed to complete post-processing for file: path={parsed_file['path']}, error={e}"
)
await self._record_failure(parsed_file["path"], str(e))
results.append((None, ""))
continue
return results
@logfire.instrument()
async def sync_regular_file(self, path: str, new: bool = True) -> Tuple[Optional[Entity], str]:
"""Sync a non-markdown file with basic tracking.
@@ -1134,13 +1442,13 @@ class SyncService:
async def _scan_directory_full(self, directory: Path) -> List[str]:
"""Full directory scan returning all file paths.
Uses scan_directory() which respects .bmignore patterns.
Uses scan_directory() which respects .bmignore patterns.
Args:
directory: Directory to scan
Args:
directory: Directory to scan
Returns:
List of relative file paths (respects .bmignore)
List of relative file paths (respects .bmignore)
"""
file_paths = []
async for file_path_str, _ in self.scan_directory(directory):
+23
View File
@@ -0,0 +1,23 @@
"""Utilities for sync operations."""
from typing import Iterator, List, TypeVar
T = TypeVar("T")
def chunks(items: List[T], size: int) -> Iterator[List[T]]:
"""Split a list into chunks of specified size.
Args:
items: List of items to chunk
size: Size of each chunk
Yields:
Lists of items, each of specified size (last chunk may be smaller)
Example:
>>> list(chunks([1, 2, 3, 4, 5], 2))
[[1, 2], [3, 4], [5]]
"""
for i in range(0, len(items), size):
yield items[i : i + size]
+16 -15
View File
@@ -1486,11 +1486,12 @@ async def test_circuit_breaker_skips_after_three_failures(
# Create a file with malformed content that will fail to parse
await create_test_file(test_file, "invalid markdown content")
# Mock sync_markdown_file to always fail
async def mock_sync_markdown_file(*args, **kwargs):
# Mock sync_markdown_batch to always fail for all files in batch
async def mock_sync_markdown_batch(paths, new=True):
# Simulate batch failure - return (None, "") for each path
raise ValueError("Simulated sync failure")
with patch.object(sync_service, "sync_markdown_file", side_effect=mock_sync_markdown_file):
with patch.object(sync_service, "sync_markdown_batch", side_effect=mock_sync_markdown_batch):
# First sync - should fail and record (1/3)
report1 = await sync_service.sync(project_dir)
assert len(report1.skipped_files) == 0 # Not skipped yet
@@ -1545,15 +1546,15 @@ async def test_circuit_breaker_resets_on_file_change(
# Create initial failing content
await create_test_file(test_file, "initial bad content")
# Mock sync_markdown_file to fail
# Mock sync_markdown_batch to fail
call_count = 0
async def mock_sync_markdown_file(*args, **kwargs):
async def mock_sync_markdown_batch(paths, new=True):
nonlocal call_count
call_count += 1
call_count += len(paths)
raise ValueError("Simulated sync failure")
with patch.object(sync_service, "sync_markdown_file", side_effect=mock_sync_markdown_file):
with patch.object(sync_service, "sync_markdown_batch", side_effect=mock_sync_markdown_batch):
# Fail 3 times to hit circuit breaker threshold
await sync_service.sync(project_dir) # Fail 1
await touch_file(test_file) # Touch to trigger incremental scan
@@ -1670,8 +1671,8 @@ async def test_circuit_breaker_handles_checksum_computation_failure(
test_file = project_dir / "checksum_fail.md"
await create_test_file(test_file, "content")
# Mock sync_markdown_file to fail
async def mock_sync_markdown_file(*args, **kwargs):
# Mock sync_markdown_batch to fail
async def mock_sync_markdown_batch(paths, new=True):
raise ValueError("Sync failure")
# Mock checksum computation to fail only during _record_failure (not during scan)
@@ -1688,7 +1689,7 @@ async def test_circuit_breaker_handles_checksum_computation_failure(
raise IOError("Cannot read file")
with (
patch.object(sync_service, "sync_markdown_file", side_effect=mock_sync_markdown_file),
patch.object(sync_service, "sync_markdown_batch", side_effect=mock_sync_markdown_batch),
patch.object(
sync_service.file_service,
"compute_checksum",
@@ -1757,16 +1758,16 @@ async def test_sync_fatal_error_terminates_sync_immediately(
),
)
# Mock entity_service.create_entity_from_markdown to raise SyncFatalError on first file
# This simulates project being deleted during sync
async def mock_create_entity_from_markdown(*args, **kwargs):
# Mock entity_repository.upsert_entities to raise SyncFatalError
# This simulates project being deleted during batch sync
async def mock_upsert_entities(entities):
raise SyncFatalError(
"Cannot sync file 'file1.md': project_id=99999 does not exist in database. "
"Cannot sync entities: project_id=99999 does not exist in database. "
"The project may have been deleted. This sync will be terminated."
)
with patch.object(
entity_service, "create_entity_from_markdown", side_effect=mock_create_entity_from_markdown
sync_service.entity_repository, "upsert_entities", side_effect=mock_upsert_entities
):
# Sync should raise SyncFatalError and terminate immediately
with pytest.raises(SyncFatalError, match="project_id=99999 does not exist"):