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| Code Block | ||
|---|---|---|
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{'Key': 'MyFile.txt', 'LastModified': datetime.datetime(2021, 11, 11, 0, 39, 23, 320000, tzinfo=tzlocal()), 'ETag': '"2e22f62675cea3445f7e24818a4f6ba0d6-1"', 'Size': 1013, 'StorageClass': 'STANDARD'} |
Case 2: Read objects
Into memory
Now lets try to read a file from a bucket into Python's memory, so we can work with it inside Python without ever saving the file to our local computer:
| Code Block | ||
|---|---|---|
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#Read a file into Python's memory and open it as a string
FILENAME = '/folder1/folder2/myfile.txt' #Fill this in
obj = s3.get_object(Bucket=S3_BUCKET_NAME, Key=FILENAME)
myObject = obj['Body'].read().decode('utf-8')
print(myObject) |
Download objects to a file
But if you'd want to download the file instead of reading it into memory (e.g. so you can use it with other libraries or applications that expect files), here's how you'd do that:
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