Processing method for downloading massive drive test data

Abstract

The embodiment of the invention relates to a processing method for downloading massive drive test data. The method comprises the following steps: calling a virtual file system interface to create a first virtual directory and a second virtual directory; creating a directory mapping relation between the first virtual directory and a basic drive test data sharing directory of a local sharing server; generating shared directory file list information; generating first virtual directory file list information; creating a corresponding relationship between the second virtual directory and a remote cloud storage platform; obtaining selectable drive test data file list information; generating second virtual directory file list information; obtaining a first directory access instruction; generating a first data file downloading instruction; if the first file path information is matched with the path of the first virtual directory, downloading a basic drive test data file from a basic drive test data sharing directory; and if the first file path information is matched with the path of the second virtual directory, downloading the selectable drive test data file from the remote cloud storage platform. According to the invention, the network flow and concurrency can be reduced.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a processing method for downloading massive drive test data. Background technique [0002] In the field of autonomous driving or unmanned driving technology processing, the massive amount of road test data collected, analyzed and processed every day can exceed one trillion terabytes (TB). Call, its data operation and maintenance cost is very high. With the maturity and development of cloud storage technology, many companies have begun to rent public clouds to store and call massive drive test data. This data deployment method can greatly reduce the operation and maintenance costs of independent data maintenance for each company. But this will also bring other problems to users, such as high network traffic and excessive network bandwidth resource overhead. Contents of the invention [0003] The object of the present invention is to address the defects of the prior art...

AI Technical Summary

Problems solved by technology

But this will also bring other problems to users, such as high network traffic, excessive network bandwidth resource overhead, etc.

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