Alibaba Cloud OSS SDK for Python provides a wide range of API operations for managing and performing operations on objects and files stored in OSS buckets. This topic provides an overview of how to call these operations for uploading, downloading and managing files, as well as directory management and data indexing. OSS SDK for Python provides solutions tailored to meet your requirements, no matter if you are processing large data batches or configuring access control policies.
Upload files
OSS SDK for Python simplifies the process of uploading local files to OSS buckets. A variety of upload methods are provided, namely simple upload, append upload, resumable upload, and multipart upload, catering to various use cases. For instance, when you transfer large files or operate under unstable network conditions, resumable upload and multipart upload can ensure data integrity and reliability. In addition, you can also monitor the upload process in the progress bar.
Download files
You can download objects from OSS to a local disk or read them directly into the memory by using OSS SDK for Python. Range download and resumable download allows you to retrieve parts efficiently even in low-bandwidth environments. This feature is especially suitable for downloading large datasets, for it allows users to download only the necessary parts, thus saving time and resources.
Manage files
Beyond basic upload and download operations, OSS SDK for Python facilitates advanced file management tasks such as storage class conversion, metadata management, as well as renaming and deleting files. You can also add tags to objects for classification and retrieval, or configure lifecycle rules to automatically delete expired content, investing developers with flexible control over their storage spaces.
Manage directories
OSS SDK for Python extends its capabilities to directory management. Users can create, list, delete directories and traverse all objects within. This feature is particularly suitable for applications that involve complex file structures, such as an online education platform for which categorising materials by course is necessary.
Data indexing
When working with large-scale datasets, you can use the advanced data indexing feature empowered by OSS SDK for Python to efficiently retrieve information stored in OSS buckets. Effective indexing strategies contribute to the rapid location of required records within petabytes of data, significantly reducing the response time and improving the quality of service.
Notes
Before utilizing OSS SDK for Python, ensure the development environment is properly installed and configured.
When uploading or downloading files using OSS SDK for Python, ensure that your network connection is stable to avoid interruptions. We recommend that you back up critical data before performing operations such as deletion to prevent accidental loss.