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bgpkit / bgpkit-parser

MRT/BGP data parser written in Rust.
MIT License
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bgp bmp mrt rust

readme

BGPKIT Parser

This readme is generated from the library's doc comments using cargo-readme. Please refer to the Rust docs website for the full documentation

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BGPKIT Parser aims to provide the most ergonomic MRT/BGP/BMP message parsing Rust API.

BGPKIT Parser has the following features:

Examples

For complete examples, check out the examples folder.

Parsing single MRT file

Let's say we want to print out all the BGP announcements/withdrawal from a single MRT file, either located remotely or locally. Here is an example that does so.

use bgpkit_parser::BgpkitParser;
let parser = BgpkitParser::new("http://archive.routeviews.org/bgpdata/2021.10/UPDATES/updates.20211001.0000.bz2").unwrap();
for elem in parser {
    println!("{}", elem)
}

Yes, it is this simple!

You can even do some more interesting iterator operations that are event shorter. For example, counting the number of announcements/withdrawals in that file:

use bgpkit_parser::BgpkitParser;
let url = "http://archive.routeviews.org/bgpdata/2021.10/UPDATES/updates.20211001.0000.bz2";
let count = BgpkitParser::new(url).unwrap().into_iter().count();
println!("total: {}", count);

and it prints out

total: 255849

Parsing multiple MRT files with BGPKIT Broker

BGPKIT Broker library provides search API for all RouteViews and RIPE RIS MRT data files. Using the broker's Rust API (bgpkit-broker), we can easily compile a list of MRT files that we are interested in for any time period and any data type (update or rib). This allows users to gather information without needing to know about the locations of specific data files.

The example below shows a relatively more interesting example that does the following:

use bgpkit_parser::{BgpkitParser, BgpElem};

let broker = bgpkit_broker::BgpkitBroker::new()
    .ts_start("1634693400")
    .ts_end("1634693400")
    .page(1);

for item in broker.into_iter().take(2) {
    log::info!("downloading updates file: {}", &item.url);
    let parser = BgpkitParser::new(item.url.as_str()).unwrap();

    log::info!("parsing updates file");
    // iterating through the parser. the iterator returns `BgpElem` one at a time.
    let elems = parser
        .into_elem_iter()
        .filter_map(|elem| {
            if let Some(origins) = &elem.origin_asns {
                if origins.contains(&13335.into()) {
                    Some(elem)
                } else {
                    None
                }
            } else {
                None
            }
        })
        .collect::<Vec<BgpElem>>();
    log::info!("{} elems matches", elems.len());
}

Filtering BGP Messages

BGPKIT Parser also has a built-in [Filter] mechanism. When creating a new [BgpkitParser] instance, once can also call add_filter function to customize the parser to only show matching messages when iterating through [BgpElem]s.

For all types of filters, check out the [Filter] enum documentation.

use bgpkit_parser::BgpkitParser;

/// This example shows how to parse an MRT file and filter by prefix.
env_logger::Builder::from_env(env_logger::Env::default().default_filter_or("info")).init();

log::info!("downloading updates file");

// create a parser that takes the buffered reader
let parser = BgpkitParser::new("http://archive.routeviews.org/bgpdata/2021.10/UPDATES/updates.20211001.0000.bz2").unwrap()
    .add_filter("prefix", "211.98.251.0/24").unwrap();

log::info!("parsing updates file");
// iterating through the parser. the iterator returns `BgpElem` one at a time.
for elem in parser {
    log::info!("{}", &elem);
}
log::info!("done");

Parsing Real-time Data Streams

BGPKIT Parser also provides parsing functionalities for real-time data streams, including RIS-Live and BMP/OpenBMP messages. See the examples below and the documentation for more.

Parsing Messages From RIS-Live

Here is an example of handling RIS-Live message streams. After connecting to the websocket server, we need to subscribe to a specific data stream. In this example, we subscribe to the data stream from on collector (rrc21). We can then loop and read messages from the websocket.

use bgpkit_parser::parse_ris_live_message;
use serde_json::json;
use tungstenite::{connect, Message};

const RIS_LIVE_URL: &str = "ws://ris-live.ripe.net/v1/ws/?client=rust-bgpkit-parser";

/// This is an example of subscribing to RIS-Live's streaming data from one host (`rrc21`).
///
/// For more RIS-Live details, check out their documentation at https://ris-live.ripe.net/manual/
fn main() {
    // connect to RIPE RIS Live websocket server
    let (mut socket, _response) =
        connect(RIS_LIVE_URL)
            .expect("Can't connect to RIS Live websocket server");

    // subscribe to messages from one collector
    let msg = json!({"type": "ris_subscribe", "data": {"host": "rrc21"}}).to_string();
    socket.send(Message::Text(msg)).unwrap();

    loop {
        let msg = socket.read().expect("Error reading message").to_string();
        if let Ok(elems) = parse_ris_live_message(msg.as_str()) {
            for elem in elems {
                println!("{}", elem);
            }
        }
    }
}

Parsing OpenBMP Messages From RouteViews Kafka Stream

RouteViews provides a real-time Kafka stream of the OpenBMP data received from their collectors. Below is a partial example of how we handle the raw bytes received from the Kafka stream. For full examples, check out the examples folder on GitHub.

let bytes = m.value;
let mut reader = Cursor::new(Vec::from(bytes));
let header = parse_openbmp_header(&mut reader).unwrap();
let bmp_msg = parse_bmp_msg(&mut reader);
match bmp_msg {
    Ok(msg) => {
        let timestamp = header.timestamp;
        let per_peer_header = msg.per_peer_header.unwrap();
        match msg.message_body {
            MessageBody::RouteMonitoring(m) => {
                for elem in Elementor::bgp_to_elems(
                    m.bgp_message,
                    timestamp,
                    &per_peer_header.peer_ip,
                    &per_peer_header.peer_asn
                )
                {
                    info!("{}", elem);
                }
            }
            _ => {}
        }
    }
    Err(_e) => {
        let hex = hex::encode(bytes);
        error!("{}", hex);
        break
    }
}

Archive filtered MRT records to a new MRT file on disk

The example will download one MRT file from RouteViews, filter out all the BGP messages that are not originated from AS3356, and write the filtered MRT records to disk. Then it re-parses the filtered MRT file and prints out the number of BGP messages.

use bgpkit_parser::Elementor;
use itertools::Itertools;
use std::io::Write;

let mut updates_encoder = bgpkit_parser::encoder::MrtUpdatesEncoder::new();

bgpkit_parser::BgpkitParser::new(
    "http://archive.routeviews.org/bgpdata/2023.10/UPDATES/updates.20231029.2015.bz2",
).unwrap()
    .add_filter("origin_asn", "3356").unwrap()
    .into_iter()
    .for_each(|elem| {
        updates_encoder.process_elem(&elem);
    });

let mut mrt_writer = oneio::get_writer("as3356_mrt.gz").unwrap();
mrt_writer.write_all(updates_encoder.export_bytes().as_ref()).unwrap();
drop(mrt_writer);

Command Line Tool

bgpkit-parser is bundled with a utility commandline tool bgpkit-parser-cli.

Installation

Install compiled binaries

You can install the compiled bgpkit-parser CLI binaries with the following methods:

From source

You can install the tool by running

cargo install bgpkit-parser --features cli

or checkout this repository and run

cargo install --path . --features cli

Usage

Run bgpkit-parser --help to see the full list of options.

MRT/BGP/BMP data processing library

Usage: bgpkit-parser [OPTIONS] <FILE>

Arguments:
  <FILE>  File path to a MRT file, local or remote

Options:
  -c, --cache-dir <CACHE_DIR>    Set the cache directory for caching remote files. Default behavior does not enable caching
      --json                     Output as JSON objects
      --psv                      Output as full PSV entries with header
      --pretty                   Pretty-print JSON output
  -e, --elems-count              Count BGP elems
  -r, --records-count            Count MRT records
  -o, --origin-asn <ORIGIN_ASN>  Filter by origin AS Number
  -p, --prefix <PREFIX>          Filter by network prefix
  -4, --ipv4-only                Filter by IPv4 only
  -6, --ipv6-only                Filter by IPv6 only
  -s, --include-super            Include super-prefix when filtering
  -S, --include-sub              Include sub-prefix when filtering
  -j, --peer-ip <PEER_IP>        Filter by peer IP address
  -J, --peer-asn <PEER_ASN>      Filter by peer ASN
  -m, --elem-type <ELEM_TYPE>    Filter by elem type: announce (a) or withdraw (w)
  -t, --start-ts <START_TS>      Filter by start unix timestamp inclusive
  -T, --end-ts <END_TS>          Filter by end unix timestamp inclusive
  -a, --as-path <AS_PATH>        Filter by AS path regex string
  -h, --help                     Print help
  -V, --version                  Print version

Data Representation

There are two key data structures to understand for the parsing results: [MrtRecord] and [BgpElem].

MrtRecord: unmodified MRT information representation

The [MrtRecord] is the data structure that holds the unmodified, complete information parsed from the MRT data file.

pub struct MrtRecord {
    pub common_header: CommonHeader,
    pub message: MrtMessage,
}

pub enum MrtMessage {
    TableDumpMessage(TableDumpMessage),
    TableDumpV2Message(TableDumpV2Message),
    Bgp4Mp(Bgp4Mp),
}

MrtRecord record representation is concise, storage efficient, but often less convenient to use. For example, when trying to find out specific BGP announcements for certain IP prefix, we often needs to go through nested layers of internal data structure (NLRI, announced, prefix, or even looking up peer index table for Table Dump V2 format), which could be irrelevant to what users really want to do.

[BgpElem]: per-prefix BGP information, MRT-format-agnostic

To facilitate simpler data analysis of BGP data, we defined a new data structure called [BgpElem] in this crate. Each [BgpElem] contains a piece of self-containing BGP information about one single IP prefix. For example, when a bundled announcement of three prefixes P1, P2, P3 that shares the same AS path is processed, we break the single record into three different [BgpElem] objects, each presenting a prefix.

pub struct BgpElem {
    pub timestamp: f64,
    pub elem_type: ElemType,
    pub peer_ip: IpAddr,
    pub peer_asn: Asn,
    pub prefix: NetworkPrefix,
    pub next_hop: Option<IpAddr>,
    pub as_path: Option<AsPath>,
    pub origin_asns: Option<Vec<Asn>>,
    pub origin: Option<Origin>,
    pub local_pref: Option<u32>,
    pub med: Option<u32>,
    pub communities: Option<Vec<Community>>,
    pub atomic: Option<AtomicAggregate>,
    pub aggr_asn: Option<Asn>,
    pub aggr_ip: Option<IpAddr>,
}

The main benefit of using [BgpElem] is that the analysis can be executed on a per-prefix basis, generic to what the backend MRT data format (bgp4mp, tabledumpv1, tabledumpv2, etc.). The obvious drawback is that we will have to duplicate information to save at each elem, that consuming more memory.

RFCs Support

We support most of the RFCs and plan to continue adding support for more recent RFCs in the future. Here is a list of relevant RFCs that we support or plan to add support.

If you would like to see any specific RFC's support, please submit an issue on GitHub.

BGP

MRT

BMP

Communities

We support normal communities, extended communities, and large communities.

FlowSpec

Built with ❤️ by BGPKIT Team

https://bgpkit.com/favicon.ico

License

MIT