[blog/bgpgrep-performance-facts] Few fixes and improvements
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		| @@ -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`, | ||||
| to avoid any disk write overhead. | ||||
|  | ||||
| ## The show's on | ||||
| ## Let the fun begin! | ||||
| We take the data for the first benchmark from | ||||
| 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. | ||||
| @@ -71,7 +71,7 @@ bgpdump -mv sydney/2020-12/uncompressed.mrt >/dev/null | ||||
| `bgpgrep` is 11% faster than `bgpscanner`, which is good. | ||||
| Since this benchmark operates mostly on MRT update dumps, let's try the same | ||||
| 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. | ||||
| This time the benchmark is limited to `bgpgrep` and `bgpscanner`. | ||||
|  | ||||
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