Summary

Several SessionContext methods for reading data sources and registering tables from upstream DataFusion v53 are not yet exposed in datafusion-python.

Missing Methods

Read methods:

• read_arrow — read an Arrow IPC file into a DataFrame
• read_batch — read a single RecordBatch into a DataFrame
• read_batches — read multiple RecordBatches into a DataFrame
• read_empty — create an empty DataFrame with a given schema

Write methods:

• write_csv — write query results to CSV directly from context
• write_json — write query results to JSON directly from context
• write_parquet — write query results to Parquet directly from context

Registration:

• register_arrow — register an Arrow IPC file as a table
• register_batch — register a single RecordBatch as a table

Upstream Reference

• https://docs.rs/datafusion/53.0.0/datafusion/execution/context/struct.SessionContext.html

Implementation

• Rust bindings: crates/core/src/context.rs
• Python wrappers: python/datafusion/context.py

Note: This gap analysis was performed using an AI agent comparing upstream DataFusion v53 documentation against the current datafusion-python codebase.