How to achieve millisecond-level video jump for video websites with billion-level users?

How to achieve millisecond-level video jump for video websites with billion-level users?

Many video websites can achieve smooth playback and millisecond-level precise jumps. What kind of technical support is behind this? This article will conduct in-depth analysis of the optimization of video cache strategy and how to improve concurrent playback volume and achieve millisecond jumps.

A user-made LAN video player has severe lag when playing large videos of about 1G and cannot achieve millisecond jumps, which is in contrast to the smooth experience of large websites such as bilibili. The key to this difference lies in the slicing and indexing techniques of the video.

Unlike directly playing a complete video file, an efficient video playback system pre-split the video into multiple small clips (for example, 10 seconds per clip). These fragments are stored in a distributed cache system and indexed. When the user jumps, the system quickly locates the target clip based on the index, and only loads the clip to play, not the entire video file. This segmented storage and indexing mechanism greatly shortens the loading time and achieves millisecond jumps.

On the contrary, if the segmentation mechanism is lacking, the player needs to load the entire 1G file to jump, which will lead to serious lag, especially when the network bandwidth is limited. Therefore, slice size, indexing method and cache system performance are all key factors that affect playback fluency and jump speed.

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