⚡ Bolt: [performance improvement] Bulk process symbol upserts in Indexer#92
⚡ Bolt: [performance improvement] Bulk process symbol upserts in Indexer#92ishaanxgupta wants to merge 1 commit intomainfrom
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Replaced individual symbol upserts with bulk processing in `Indexer._process_file` to reduce database overhead. - Added `upsert_symbols_bulk` in `CodeGraphClient` using UNWIND. - Created `embed_texts` in `src/pipelines/ingest.py` for batch embedding. - Modified `Indexer._process_file` to collect all symbols and perform bulk inserts in Pinecone, Neo4j, and MongoDB.
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💡 What: Replaced individual symbol upserts with bulk processing in
Indexer._process_file.🎯 Why: Indexing large files with many symbols caused severe N+1 query overhead, as each symbol change resulted in sequential write requests to MongoDB, Pinecone, and Neo4j, as well as sequential embedding generations.
📊 Impact: Significantly reduces indexing latency by batching database writes and embeddings. A file with 100 symbols will now trigger ~3 bulk API calls instead of 300 individual calls.
🔬 Measurement: Run a scan against a repository (
scan_repo). Observe the overall scan duration logged induration_secondsto verify improved performance.PR created automatically by Jules for task 17930675043780213757 started by @ishaanxgupta