Azure ML从压缩文件夹中解压缩多个大型数据集的最佳方法 [英] Azure ML best way to unpack multiple large datasets from a zipped folder

问题描述

我正在寻找在Azure ML Studio中使用的最佳方法和模块来解压缩压缩到文件夹中的多个(大约2000个)大文件.

I am looking for the best way and modules to use in Azure ML studio to unpack multiple (about 2000) large files that are zipped into a folder

推荐答案

你好

说明中的操作是目前唯一可行的方法.唯一的其他选择是先将其移至VM，然后将其解压缩，然后从Blob输入.您也可以在那时将其从CosmosDB中移出，但除非您将 您在这些位置的数据又有另一个原因，那就是开销很大-我只会坚持使用压缩导入.

The operation in the instructions is about the only good way to do this currently. The only other option would be to move it to a VM first, then decompress it, and input from blob. You could also move it from CosmosDB at that point, but unless you're putting your data in those locations for another reason it's a lot of overhead - I would just stick with the zipped importing.

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