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Posts Open Menu. Share this post. Both methods are using different API calls. The major difference is upload allows you to define concurrency and part size for large files while putObject has lesser control. For a smaller file, both methods are fine.
In general, I recommend to use upload. In this example, we are using the async readFile function and uploading the file in the callback. As the file is read, the data is converted to a binary format and passed it to the upload Body parameter. Can you help me — Sundeep Pidugu. Sign up or log in Sign up using Google. Sign up using Facebook.
Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Introducing Content Health, a new way to keep the knowledge base up-to-date. Podcast what if you could invest in your favorite developer? Featured on Meta. Before we upload the file, we need to read its contents as a buffer. After reading it, we can define the needed parameters for the file upload, such as Bucket , Key , and Body.
Besides these three parameters, there's a long list of other optional parameters. To get an idea of the things you can define for a file while uploading, here are a few useful ones:.
For the Bucket parameter, we'll use our bucket name, whereas for the Key parameter we'll add the file name we want to save as, and for the Body parameter, we'll use fileContent. You can replace "cat. If every thing is fine, you should see output like what is shown below with a link to your file, which is stored in data.
Recently we decided over at Lingo that we want to allow our customers to download multiple asset files at once. We store all assets in AWS S3, which doesn't offer a method of retrieving multiple files at the same time in a single zip file. Why not!? I did some Googling around and found a Python solution that purported to work in the most ideal way: no memory usage, and no disk usage. How can this be? It sounds like magic.
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