pybgpflux 0.5.1

Drop-in replacement for PyBGPStream using BGPKIT

PyBGPFlux

A drop-in replacement for PyBGPStream using BGPKIT

Features

• Generates time-ordered BGP messages on the fly from RIBs and updates MRT files of multiple collectors
• Stream the same BGP messages as PyBGPStream, enabling seamless, drop-in replacement
• Lazy loading consumes minimal memory, making it suitable for large datasets
• Multiple BGP parsers supported: pybgpkit (default but slow), bgpkit-parser, bgpdump and pybgpstream single file backend (the latter three are system dependencies)
• Caching with concurrent downloading fully compatible with the BGPKIT parser's caching functionality.
• Performance: for updates, typically 3–10× faster than PyBGPStream; for RIB-only processing, currently about 3–4× slower (see perf.md for test details).
• A CLI tool

Quick start

Installation:

pip install pybgpflux

Usage:

import datetime
from pybgpflux import BGPStreamConfig, BGPStream

config = BGPStreamConfig(
    start_time=datetime.datetime(2010, 9, 1, 0, 0),
    end_time=datetime.datetime(2010, 9, 1, 1, 59),
    collectors=["route-views.wide", "rrc04"],
    data_types=["ribs", "updates"],
)

stream = BGPStream.from_config(config)

n_elems = 0
for elem in stream:
  n_elems += 1
    
print(f"Processed {n_elems} BGP elements")

or in the terminal:

pybgpflux --start-time 2010-09-01T00:00:00 --end-time 2010-09-01T01:59:00 --collectors route-views.sydney route-views.wide --data-types updates > updates.txt

Motivation

PyBGPStream is great but the implementation is complex and stops working when UC San Diego experiences a power outage.
BGPKIT broker and parser are great, but cannot be used to create an ordered stream of BGP messages from multiple collectors and multiple data types.

Missing features

• Live mode for RouteViews collectors
• Some PyBGPStream data interface options like csv or sqlite