madbase/.trae/documents/plan_20260311_225358.md

Implement Missing Features (Phase 4 & 5)

I will implement Advanced Metrics for Edge Functions and pgvector Support for the Data API.

1. pgvector Support (data_api)

Goal: Ensure vector columns are returned as native JSON arrays instead of strings in the Data API.

• Modification: Update rows_to_json in data_api/src/handlers.rs.
• Logic:
  • Check if column type is "VECTOR".
  • If yes, parse the string representation (e.g., "[1.0,2.0,3.0]") into a serde_json::Value::Array.
  • This provides seamless integration for clients using embeddings.

2. Advanced Metrics (functions)

Goal: Capture and log detailed execution metrics for Edge Functions.

• Modification: Update functions/src/runtime.rs and functions/src/handlers.rs.
• Metrics:
  • execution_time_ms: Duration of the WASM execution.
  • memory_usage_bytes: Approximate memory usage (if obtainable) or payload size.
• Implementation:
  • Use tracing with structured fields (e.g., tracing::info!(target: "function_metrics", duration_ms = 123, ...)).
  • This allows the existing Logs Viewer (Loki-based) to aggregate and visualize these metrics in the future.

Execution Steps

1. Refactor Data API: Modify rows_to_json to handle VECTOR type.
2. Instrument Functions: Add timing and logging to WasmRuntime::execute.
3. Verify: Ensure compilation and correct logic.