|
|
|
@ -49,7 +49,7 @@ after one warmup round. MRT data is decompressed upfront, to avoid accounting fo
|
|
|
|
decompression overhead, the output is sent directly to `/dev/null`,
|
|
|
|
decompression overhead, the output is sent directly to `/dev/null`,
|
|
|
|
to avoid any disk write overhead.
|
|
|
|
to avoid any disk write overhead.
|
|
|
|
|
|
|
|
|
|
|
|
## The show's on
|
|
|
|
## Let the fun begin!
|
|
|
|
We take the data for the first benchmark from
|
|
|
|
We take the data for the first benchmark from
|
|
|
|
RouteViews' [Sydney Route Collector](http://archive.routeviews.org/route-views.sydney/bgpdata),
|
|
|
|
RouteViews' [Sydney Route Collector](http://archive.routeviews.org/route-views.sydney/bgpdata),
|
|
|
|
and pull the very first RIB of December 2020, along with any subsequent updates from the same month.
|
|
|
|
and pull the very first RIB of December 2020, along with any subsequent updates from the same month.
|
|
|
|
@ -71,7 +71,7 @@ bgpdump -mv sydney/2020-12/uncompressed.mrt >/dev/null
|
|
|
|
`bgpgrep` is 11% faster than `bgpscanner`, which is good.
|
|
|
|
`bgpgrep` is 11% faster than `bgpscanner`, which is good.
|
|
|
|
Since this benchmark operates mostly on MRT update dumps, let's try the same
|
|
|
|
Since this benchmark operates mostly on MRT update dumps, let's try the same
|
|
|
|
on a different dataset, mostly made of RIBs.
|
|
|
|
on a different dataset, mostly made of RIBs.
|
|
|
|
We pull nine RIBs from RIPE RIS NCC [RRC00 Route Collector]](https://data.ris.ripe.net/rrc00/2019.12/),
|
|
|
|
We pull nine RIBs from RIPE RIS NCC [RRC00 Route Collector](https://data.ris.ripe.net/rrc00/2019.12/),
|
|
|
|
and obtain 25.7GB worth of uncompressed MRT data.
|
|
|
|
and obtain 25.7GB worth of uncompressed MRT data.
|
|
|
|
This time the benchmark is limited to `bgpgrep` and `bgpscanner`.
|
|
|
|
This time the benchmark is limited to `bgpgrep` and `bgpscanner`.
|
|
|
|
|
|
|
|
|
|
|
|
|
