在Uber Eats进行图像的删除和存储
The Uber Eats system handles several hundred million product images and millions of image updates are performed every hour. We have implemented a content-addressable caching layer that very effectively detects duplicates and thereby reduces download times, processing times, and storage costs. This full system was developed and completely rolled out in the course of less than 2 months, which improved the latency and reliability of the image service and unblocked projects on our new catalog API development.
Uber Eats系统处理了数亿张产品图片，每小时进行数百万次的图片更新。我们实施了一个内容可寻址的缓存层，非常有效地检测出重复的内容，从而减少下载时间、处理时间和存储成本。这个完整的系统是在不到2个月的时间里开发并完全推出的，这改善了图像服务的延迟和可靠性，并为我们的新目录API开发项目解除了阻碍。
Images at Uber
在Uber的图像
When you buy something online you want to have the best possible impression of the product. In many cases, it would be optimal if you could actually see it with your own eyes and hold it in your hands before you decided to buy it. One way of getting close to the real-world experience is by having good images of dishes, drinks, groceries, and basically anything you buy online.
当你在网上购买东西时，你希望对产品有一个尽可能好的印象。在许多情况下，如果你能在决定购买之前真正亲眼看到它并把它拿在手里，那将是最好的。接近真实世界体验的一个方法是拥有菜肴、饮料、杂货和基本上任何你在网上购买的东西的良好图像。
Uber Eats sells millions of different products. Following the great increase in selection associated with expanding the business to cover more verticals such as groceries, alcoholic beverages and domestic merchandise, we have seen the product catalogs growing from the hundreds of entities to the tens of thousands. Furthermore, the exact same product (e.g., a can of Coca Cola) will be sold in many different grocery stores. For restaurants most product images are unique. With the selection increasing, more duplicate images will appear and an efficient deduplication is needed to keep image processing, storage, and CDN costs down.
Uber Eats销售了数百万种不同的产品。在与扩大业务以覆盖更多垂直领域（如杂货、酒精饮料和国内商品）相关的选择大增之后，我们看到产品目录从数百个实体增长到数万个。此外，完全相同的产品（例如，一罐可口可乐）会在许多不同的杂货店出售。对于餐馆来说，大多数产品图片都是独一无二的。随着选择的增加，更多的重复图像会出现，需要一个有效的重复数据删除来保持图像处理、存储和CDN成本的降低。
Our image service processes millio...