- Batch index existence checks into single query (16+ queries -> 1 query)
- Batch timestamp column checks into single query (8 queries -> 1 query)
- Batch field length checks into single query (5 queries -> 1 query)
Performance improvement: ~70-80% faster initialization (35s -> 5-10s)
Key optimizations:
1. check_tables(): Use ANY($1) to check all indexes at once
2. _migrate_timestamp_columns(): Batch all column type checks
3. _migrate_field_lengths(): Batch all field definition checks
All changes are backward compatible with no schema or API changes.
Reduces database round-trips by batching information_schema queries.
- Add entity_chunks & relation_chunks storage
- Implement KEEP/FIFO limit strategies
- Update env.example with new settings
- Add migration for chunk tracking data
- Support all KV storage
Prepared statement caching is disabled by setting
`statement_cache_size=0` in the `asyncpg` connection pool parameters.
This is necessary to prevent
`asyncpg.exceptions.InvalidSQLStatementNameError` when using
transaction-level connection poolers like Supabase Supavisor or
pgbouncer, which do not support prepared statements.
- Store file_path in full_docs storage
- Update PostgreSQL implementation by map file_path to doc_name
- Other storage implementation automatically handles the new field
- Add get_doc_by_file_path to all storages
- Skip processed files in scan operation
- Check duplicates in upload endpoints
- Check duplicates in text insert APIs
- Return status info in duplicate responses
• Add CJK analyzer for Chinese text
• Auto-detect Chinese characters
• Recreate index if needed
• Separate Chinese/Latin search logic
• Improve fallback for Chinese queries
- Add get_popular_labels() method
- Add search_labels() with fuzzy matching
- Use native SQL for better performance
- Include proper scoring and ranking
• Add workspace attribute to storage classes
• Use workspace-specific index names
• Implement Atlas Search with fallbacks
• Add entity search and popular labels
• Improve index migration strategy
- Add allow_create parameter to get_namespace_data() to permit internal initialization
- initialize_pipeline_status() now uses allow_create=True to create the namespace
- External calls still get the error if pipeline_status is not initialized
- This maintains the improved error messages while allowing proper server startup
Fixes server startup failure reported in PR #1978
- Add PipelineNotInitializedError import to shared_storage.py
- Raise PipelineNotInitializedError when accessing uninitialized pipeline_status namespace
- This provides clear error messages to users about initialization requirements
- Other namespaces continue to be created dynamically as before
Addresses review feedback from PR #1978 about unused exception class
