s3fs

问题 I have a large file s3://my-bucket/in.tsv.gz that I would like to load and process, write back its processed version to an s3 output file s3://my-bucket/out.tsv.gz . How do I streamline the in.tsv.gz directly from s3 without loading all the file to memory (it cannot fit the memory) How do I write the processed gzipped stream directly to s3? In the following code, I show how I was thinking to load the input gzipped dataframe from s3, and how I would write the .tsv if it were located locally

问题 I have mounted S3 Bucket in my CentOS EC2 instance using S3FS. Now I want to upload files to the mounted bucket using php. But I am unable to find the correct path for uploading , so can anyone please help me to get the right path. S3FS is installed in /usr/bin/s3fs and my S3 bucket is mounted under a directory - /mys3bucket. 来源： https://stackoverflow.com/questions/64773188/how-to-upload-files-to-mounted-s3-bucket-using-php

问题 My Amazon S3 bucket has millions of files and I am mounting it using s3fs . Anytime a ls command is issued (not intentionally) the terminal hangs. Is there a way to limit the number of results returned to 100 when a ls command is issued in a s3fs mounted path? 回答1: Try goofys (https://github.com/kahing/goofys). It doesn't limit the number of item returned for ls, but ls is about 40x faster than s3fs when there are lots of files. 回答2: It is not recommended to use s3fs in production situations.

问题 My Amazon S3 bucket has millions of files and I am mounting it using s3fs . Anytime a ls command is issued (not intentionally) the terminal hangs. Is there a way to limit the number of results returned to 100 when a ls command is issued in a s3fs mounted path? 回答1: Try goofys (https://github.com/kahing/goofys). It doesn't limit the number of item returned for ls, but ls is about 40x faster than s3fs when there are lots of files. 回答2: It is not recommended to use s3fs in production situations.

来源： https://stackoverflow.com/questions/43793288/s3fs-with-aws-ec2-instance-and-using-instance-profiles

来源： https://stackoverflow.com/questions/43793288/s3fs-with-aws-ec2-instance-and-using-instance-profiles

问题 Here's the current scenario - I have multiple S3 Buckets , which have SQS events configured for PUTs of Objects from a FTP, which I have configured using S3FS. Also, I have multiple Directories on an EC2 , on which a User can PUT an object, which gets synced with the different S3 buckets (using S3FS), which generate SQS events(using S3's SQS events). Here's what I need to achieve, Instead of Multiple S3 buckets, I need to consolidate the logic on Folder level , ie. I have now created

问题 Here's the current scenario - I have multiple S3 Buckets , which have SQS events configured for PUTs of Objects from a FTP, which I have configured using S3FS. Also, I have multiple Directories on an EC2 , on which a User can PUT an object, which gets synced with the different S3 buckets (using S3FS), which generate SQS events(using S3's SQS events). Here's what I need to achieve, Instead of Multiple S3 buckets, I need to consolidate the logic on Folder level , ie. I have now created

问题 I know it's possible to mount an Amazon S3 bucket using Fuse (s3fs [or s3fsr ruby gem?]). My case is specific to Heroku. Heroku's filesystem is readonly for scalability and such, but is there a way to mount an amazon s3 in Heroku's filesystem? In my case, I use Redmine on Heroku and would like to use Redmine's built-in git repository management to link code reviews to my issues. Redmine needs to clone the repository to a local directory, which is possible but not persistent on Heroku. I would

问题 I am trying to mount S3 as a volume on AWS ECS docker container using rexray/s3fs driver. I am able to do this on my local machine, where I installed plugin $docker plugin install rexray/s3fs and mounted S3 bucket on docker container. $docker plugin ls ID NAME DESCRIPTION ENABLED 3a0e14cadc17 rexray/s3fs:latest REX-Ray FUSE Driver for Amazon Simple Storage true $docker run -ti --volume-driver=rexray/s3fs -v s3-bucket:/data img I am trying replicate this on AWS ECS. Tried follow below document