# Extracting file named flashgrid_cluster which is located in the first tar.gz S3_object = self.s3_client.get_object(Bucket=self.AWS_STORAGE_BUCKET_NAME, Key=s3_filepath)Ĭhildgz = Note: Update the following entries in the file according to your environment.ĪWS_SECRET_ACCESS_KEY = "my secret key goes here"ĪWS_STORAGE_BUCKET_NAME = "my bucket name goes here"Ĭontent of extracts3tar.py: #!/usr/bin/python2.7Īws_access_key_id=self.AWS_ACCESS_KEY_ID,Īws_secret_access_key=self.AWS_SECRET_ACCESS_KEY)ĭef load_tar_file_s3_into_object_without_download(self, s3_filepath): Create extracts3tar.py file with the following content and grant executable permission to that file:.Hierarcy of the tar.gz file is the following (sample): So please use it as an example only and investigate the content of it. HARBOR: I am neither the Python expert nor the developer, so it is assumed that I am having mistakes in it or script could be written shorter and easier way than I did.īut it satisfies my needs. This operation must be performed without downloading or extracting tar.gz In this way, you can easily create compressed tar files and efficiently manage your disk space and set of files, do you have something to add then do leave your comment in the comments section.Need to analyze several values from multiple files that are archived as tar.gz and located on s3. Now, to solve this problem tarfile module provides an extra argument called “arcname” and using it you can easily tar file with relative path without worrying about user directories as shown below: browser_tar.add(tar_location, arcname=".")Īnd not only that, by using arcname, you can also provide a specific name too which could be very useful where you are playing with multiple tar files and you need to append something like a unique timestamp to create tar files with a unique name as shown below: browser_tar.add(tar_location, arcname=unique_tar_name) To see the whole path of your tar during debugging you can make use of getmembers() method which gives the info about the whole tar file path is shown below: browser_tar.getmembers() Ideally when you want to send this tar as email content (like in the case of build logs) or send it to an application to start the processing of files(application-specific), then after creating a tar file, the structure of the folder should start from the relative folder location i.e./tarfilelocation in this case. So here, first, we move to the input directory after that, by using tarfile we add all the content of a folder in the tar file, simple enough right?īut there was a problem in this method, it creates a tar with absolute path i.e when you untar file then folder structure starts from input location, something like c://users/chandan/tarfilelocation. With tarfile.open(tar_location + '.tar', mode= 'w:tar') as browser_tar: Recently I worked on a project which required compressing a set of files and folders and below are some useful things I noticed while creating a compressed tar file in python:Ĭreate a simple tar file from a given path- import tarfile Whether you are working on file-heavy applications or on logs heavy applications, compressing files to save storage is very useful for efficient files management as well as disk storage management.
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