I have a storage bucket in google cloud. I have a few directories which I created with files in them.
I know that if I want to cycle through all the files in all the directories, I can use the following command:
for file in list(source_bucket.list_blobs()):
file_path=f"gs://{file.bucket.name}/{file.name}"
print(file_path)
Is there a way to only cycle through one of the directories?
I suggest studying the Cloud Storage list API in more detail. It looks like you have only experimented with the most basic use of list_blobs(). As you can see from the linked API documentation, you can pass a prefix parameter to limit the scope of the list to some path. source_bucket.list_blobs(prefix="path"):
Related
In AWS I have folder format like eg : Bucketname/Data/files/abc_01-02-2022.csv
In a increment order I have files for each dates for all the months in year.
In Google Cloud Storage I am trying to create folder structure like eg:Bucketname/data/202202/files/abc_01-02-2022.csv for whole year
So, I am trying to use storage transfer service which will take dynamically or from object itself and create a folder structure automatically by getting trigger automatically 2nd of the month.
Can we achieve this by using transfer service.
what is the best way to achieve this I am trying to make it simple as possible
Storage Transfer Service does not support destination object prefixes, the reason behind it is, Storage Transfer Service doesn’t support remapping, that is, you cannot copy the path Bucketname/Data/files/ to Bucketname/data/202202/files
My recommendation would be to first use the Storage Transfer Service to copy everything from one bucket to another and later use any of the available methods to rename the object in the new bucket to Bucketname/data/202202/files.
Also the Cloud Storage Objects are flat namespaces, that is, Cloud Storage does not have folders and sub folders. There are a few documents that you can refer to for more information on this Object name considerations and Folders
This is possible via using STS API. You can specify "path" at the destination bucket.
I'm new to beam so the whole triggering stuff really confuse me.
I have files that are uploaded regularly to gcs to a path that looks something like this: node-<num>/<table_name>/<timestamp>/files_parts
and I need to write something that would trigger when all 8 parts of a file exist.
Their names are something like that: file_1_part_1, file_1_part_2, file_2_part_1, file_2_part_2
(there could be multiple files parts in the same dir but if its a problem I could ask for it to change).
Is there any way to create this trigger? and if not what do you suggest I could do instead?
Thanks!
If you are using the Java SDK, you can use a transform Watch to achieve this. I don't see a counterpart in the Python SDK though.
I think it's better to write a program polling the files in the GCS directory. When 8 parts of a file is available, publish a message containing the file name to Pub/Sub or similar product.
Then in your Beam pipeline, use the Pub/Sub topic as the streaming source to do your ETL.
Let me preface this by saying I am completely new. I code in SQL and SAS.
I need to list all objects stored in a Google Cloud storage bucket. The web GUI is insufficient as I am trying to locate one file among more than 6K files.
I'm in Google Cloud Datalab and using Python 3.6. What is the easiest way to simply create a list (preferably something I can kick out to a local csv) of these objects?
Thank you
As explained here the following code will list all the objects in a bucket.
from google.cloud import storage
def list_blobs(bucket_name):
"""Lists all the blobs in the bucket."""
# bucket_name = "your-bucket-name"
storage_client = storage.Client()
# Note: Client.list_blobs requires at least package version 1.17.0.
blobs = storage_client.list_blobs(bucket_name)
for blob in blobs:
print(blob.name)
In blob.name you have the name of each object, in the code we print it to standard output. As you are saying you would like to have this output to a text file you can do it by appending this variable.
The docs for Storage are pretty solid, and have links to the GitHub repos that contains all the client code.
There's also a commandline utility gsutil which makes this stuff pretty trivial in bash scripts and the like.
How can I download a complete folder hierarchy using python Google drive api. Is it that I have query each files in the folder and then download that. But doing this way, folder hierarchy will be lost. Any way to make it in proper way. Thanks
You can achieve this using Google GAM.
gam all users show filelist >filelist.csv
gam all users show filetree >filetree.csv
I got all the answers from this site. I found it very useful.
https://github.com/jay0lee/GAM/wiki
Default max results of query is 100. Must use pageToken/nextPageToken to repeat it.
see Python Google Drive API - list the entire drive file tree
I have to write a python script with which I should be able list other protected buckets owned by other people who are ready grand access. For this I created a project and enabled Google Cloud Storage in my Google API console, then I installed gsutil and stored 'my credentials' in '.boto' file. now I have to list metadata of all buckets where I have access. My question is what I or other buckets owners has to do to grant access to me/my project so that my script can list metadata of all buckets/object inside bucket?
I'm following this doc for python scripting: https://developers.google.com/storage/docs/gspythonlibrary
You can only list all buckets you have access to within a project.
There is no way to list all buckets which you might have access to. The list of buckets you have access to would be extremely large, because it would include all buckets marked as public.
I would suggest you have people who give you access to their buckets give you their bucket name explicitly.