Duck Takes Flight

A high-performance data streaming system using DuckDB and Apache Arrow Flight.

Ok, now do it in Rust

Components

1. DuckDB Flight Server (duckdb_flight_server.py): A server that exposes DuckDB through Arrow Flight protocol
2. Data Loader (load_data.py): Continuously generates and loads random data into DuckDB
3. Query Client (query_data.py): Executes continuous queries against the loaded data

Setup

1. Install dependencies:

pip install duckdb pyarrow

2. Start the server:

python duckdb_flight_server.py

3. Start the data loader:

python load_data.py

4. Start the query client:

python query_data.py

Data Schema

The system creates a table called concurrent_test with the following schema:

• batch_id: BIGINT
• timestamp: VARCHAR
• value: DOUBLE
• category: VARCHAR

Features

• Persistent storage using DuckDB
• High-performance data transfer using Arrow Flight
• Continuous data loading and querying
• Memory-efficient batch processing
• Aligned Arrow buffers for optimal performance