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Mike Pennington
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The easiest way is to use pybgpdumppybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.

The easiest way is to use pybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.

The easiest way is to use pybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.

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Mike Pennington
  • 30k
  • 12
  • 81
  • 153

The easiest way is to use pybgpdump - https://pypi.python.org/pypi/pybgpdumppybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.

The easiest way is to use pybgpdump - https://pypi.python.org/pypi/pybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.

The easiest way is to use pybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.

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Benjamin Dale
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The easiest way is to use pybgpdump - https://pypi.python.org/pypi/pybgpdump

The package includes a tool in the samples directory called simple.py which will summarise the announce/withdrawal count for a given MRT file:

2630 total messages with 12028 announced and 5666 withdrawn routes

If you're after an entire day's worth of data, you'll need to download all the 288 files of 5-minute intervals, and then hack simple.py to iterate through the list.