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Can uploading of small to medium datasets be done with the gsutil command-line tool through the network?

by Hema Gunasekaran / Saturday, 11 November 2023 / Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Google Cloud AI Platform, AI Platform training with built-in algorithms

The gsutil command-line tool, provided by Google Cloud Platform, offers a convenient and efficient way to upload small to medium datasets through the network. With gsutil, users can interact with Google Cloud Storage, a scalable and durable object storage service, to store and retrieve data.

To upload datasets using gsutil, you need to have the tool installed and configured on your local machine. Once set up, you can use the "cp" command to copy files from your local file system to a Cloud Storage bucket. The gsutil command follows the syntax:

gsutil cp [LOCAL_FILE_PATH] gs://[BUCKET_NAME]/[OBJECT_NAME]

Here, [LOCAL_FILE_PATH] represents the path to the file on your local machine, while [BUCKET_NAME] and [OBJECT_NAME] indicate the target Cloud Storage bucket and the desired name for the uploaded object, respectively.

For example, to upload a file named "data.csv" to a bucket named "my-bucket" with the object name "uploaded-data.csv", you would use the following command:

gsutil cp data.csv gs://my-bucket/uploaded-data.csv

The gsutil command-line tool also supports various options to enhance the upload process. For instance, you can use the "-m" flag to enable parallel composite uploads, which can significantly improve upload performance for larger datasets. Additionally, you can specify custom metadata, set access controls, and enable encryption for uploaded objects.

It's worth noting that gsutil handles resumable uploads by default, meaning that if an upload is interrupted, it can be resumed from where it left off, rather than starting from scratch. This feature ensures reliability and helps avoid the need to re-upload the entire dataset.

The gsutil command-line tool provides a reliable and efficient method for uploading small to medium datasets through the network. By leveraging Google Cloud Storage, users can take advantage of its scalability, durability, and additional features to store and manage their data effectively.

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More questions and answers:

  • Field: Artificial Intelligence
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Tagged under: Artificial Intelligence, Command Line Tool, Dataset Uploading, Google Cloud Platform, Google Cloud Storage, Gsutil
Home » AI Platform training with built-in algorithms / Artificial Intelligence / EITC/AI/GCML Google Cloud Machine Learning / Google Cloud AI Platform » Can uploading of small to medium datasets be done with the gsutil command-line tool through the network?

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