Tar (and compress) files in s3
Project description
s3-tar
Create a tar/tar.gz/tar.bz2 file from many s3 files and stream back into s3.
*Currently does not preserve directory structure, all files will be in the root dir
Install
pip install s3-tar
Usage
Set the environment variable S3_ENDPOINT_URL to use a custom s3 host (minio/etc...)
Command Line
To see all command line options run:
s3-tar -h
Import
from s3_tar import S3Tar
# Init the job
job = S3Tar(
'YOUR_BUCKET_NAME',
'FILE_TO_SAVE_TO.tar', # Use `tar.gz` or `tar.bz2` to enable compression
# min_file_size='50MB', # Default: None. The min size to make each tar file [B,KB,MB,GB,TB]. If set, a number will be added to each file name
# target_bucket=None, # Default: source bucket. Can be used to save the archive into a different bucket
# cache_size=5, # Default 5. Number of files to hold in memory to be processed
# save_metadata=False, # If True, and the file has metadata, save a file with the same name using the suffix of `.metadata.json`
# session=boto3.session.Session(), # For custom aws session
)
# Add files, can call multiple times to add files from other directories
job.add_files('FOLDER_IN_S3/')
# Add a single file at a time
job.add_file('some/file_key.json')
# Start the tar'ing job after files have been added
job.tar()
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