![F1 2018 demo pc](https://kumkoniak.com/89.jpg)
![f1 2018 demo pc f1 2018 demo pc](https://i.ytimg.com/vi/hXP80QhmZZA/maxresdefault.jpg)
However, in testing this library using the StreamSets Jython Evaluator, I found a certain feature used in the Java parsing library wasn’t thread-safe in Jython.
![f1 2018 demo pc f1 2018 demo pc](https://i.ytimg.com/vi/WkBiBb35-wY/maxresdefault.jpg)
I was lucky enough to find an open-source Java project to parse the UDP packet. While this worked, I was concerned about maintaining two separate pipelines (StreamSets and Python). First, I evaluated using Python (outside of StreamSets) to parse the F1 UDP packet.
#F1 2018 DEMO PC HOW TO#
The UDP packet is in a packed struct format with the spec provided by Codemasters, but there was still an open question remaining: how to parse these bits into usable data? When starting out this project, I didn’t know that it would work.
![f1 2018 demo pc f1 2018 demo pc](http://www.nat-games.de/wp-content/uploads/2018/09/F1-2018-NAT-Games.de_.png)
This powerful capability is made possible by the massive bandwidth and computing power provided by GPUs and harnessed by OmniSci.
#F1 2018 DEMO PC FULL#
You may have seen our blog post about VAST and vehicle telematics prior to NVIDIA GTC so I won’t recap the full post here, but our F1 demo was designed to demonstrate how OmniSci can ingest a stream of data AND allow that data to be analyzed interactively in real-time. Spatio-Temporal: data (often) has a Spatio- Temporal component which considers both time and 3D space.Agility: how to maintain the ability to interact with the data in an Agile manner.The goal of the F1 demo is to demonstrate a set of challenges that we refer to internally at OmniSci as VAST:
#F1 2018 DEMO PC CODE#
If you’re interested in the code details to replicate the demo yourselves, we’ve open-sourced the entire F1 demo on GitHub.
![f1 2018 demo pc f1 2018 demo pc](https://xboxmedia.de/wp-content/uploads/f1-2018-monaco.jpg)
Each time we demonstrate the real-time streaming data capabilities of OmniSci via the F1 demo, we usually get one of two reactions: “You hacked a video game?” and “Hmm.better drive a lap to make sure this is real!” Since it’s difficult to explain the engineering behind the F1 demo over the roar of the engines and laughter as people drive questionably, here’s an outline of how to stream data into OmniSci in real-time using StreamSets.
![F1 2018 demo pc](https://kumkoniak.com/89.jpg)