File Download Segmentation for Parallel Data Node Access
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Solution Overview
Problem
The existing method for downloading files using HDFS is inefficient due to inaccurate calculation of distances between clients and data nodes, leading to reduced download efficiency, as physical distance has less influence and network distance changes frequently, and DataNodes can only serve one client at a time, causing other clients to wait.
Innovation Solution
A method that segments the download request into multiple fragments when the file length exceeds a preset value, sending these fragments to multiple DataNodes for parallel download, ensuring each fragment except the last one is of equal length, and redistributing failed downloads to other nodes for successful retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the existing method calculates distance based on physical location to select DataNodes for download, then the selection process is simple, but the download efficiency is reduced due to inaccurate distance calculation and network status changes
Solution Approach 1:
The patent changes the parameter used for DataNode selection from physical distance to network distance. The client calculates network distance based on network status information (such as network bandwidth, latency, or packet loss rate) between the client and each DataNode, rather than using physical location coordinates. This parameter change makes the distance measurement more accurate and adaptable to actual network conditions, thereby improving download efficiency.
2Productivity
If a DataNode is preferred by many clients for download, then the selection process is simple, but the DataNode can only serve one client at a time, causing other clients to wait and reducing overall download efficiency
Solution Approach 1:
The patent applies segmentation by dividing a large file into multiple blocks, where each block can be downloaded independently from different DataNodes. Instead of downloading the entire file from a single preferred DataNode, the client selects different DataNodes for different blocks based on network distance calculations. This segmentation allows parallel downloads from multiple DataNodes simultaneously, eliminating the waiting time caused by single-client limitations and improving overall download efficiency.
Data Source
AI summary
Disclosed are a method and a device for downloading a file. The method includes: when receiving a download request of a file, acquiring attribute information about the file, and learning information about the length of the file according to the attribute information about the file; when the length of the file goes beyond a preset value, segmenting the download request into at least two fragments of download requests; sending the at least two fragments of download requests to at least two data nodes to request to download corresponding fragments, and obtaining the at least two fragments; and according to the at least two fragments obtained by download, obtaining the file. By segmenting the download request into a plurality of fragments of requests, the present invention achieves the parallel download of the plurality of fragments of requests, thereby greatly improving the download efficiency of a file.