I'm having some issue on my AWS S3 bucket and vsftpd.
I've created a vsftpd instance and mount AWS S3 bucket. My issue is that everytime I upload a file and the connection was disrupted, it appends the existing file on the S3 bucket instead of override it when the FTP client retry. What should I set on the S3 bucket policy to have such behavior to override instead of append?
There are no Amazon S3 configuration settings that would impact this behaviour -- it is totally the result of the software you are using.
It's also worth mentioning that FTP is a rather old protocol and these days there are much better alternatives, such as uploads via the browser or Dropbox-like shared folders.
One of the easiest options is to have your users upload directly to Amazon S3 -- that way, you don't need to run any servers. This could be done by uploading via a browser, or by providing users with some software, such as Cloudberry Explorer or the AWS Command-Line Interface (CLI).
I highly encourage you to stop using FTP these days.
Related
I've been struggling with this one for quite a while. Thought it would work out-of-box based on AWS documentation of supporting the acl header.
I'm using the AWS S3 CLI in order to download files from my S3 bucket. Some of the files will need to have 'exec' permissions (running on Linux).
I can chmod the files but I would like to control that during the upload rather than during the download.
So, the question is whether I can use the AWS CLI so that it will automatically grant execution (or other) permissions based on something that I can set during the upload or afterwards on the uploaded file.
Thanks,
i am a little puzzled i hope someone can help me out.
we create some ORC-Files that we would like to query while they are stored on S3.
We noticed that the S3 native Filesystem S3n does not really work out for this manner. I am not really sure what the problem is - but my guess is, that the reader is not able to jump to specific bytes inside the file so that he has to load the whole file before he can query it.
So we tried storing the files on S3 (uri s3://) which is a block file system just like HDFS backed by s3 and it worked great.
But i am a little worried after reading up on this source about Amazon EMR which says
Amazon S3 block file system (URI path: s3bfs://)
The Amazon S3 block file system is a legacy file storage system. We strongly discourage the use of this system.
Important
We recommend that you do not use this file system because it can trigger a race condition that might cause your cluster to fail. However, it might be required by legacy applications.
EMRFS (URI path: s3://)
EMRFS is an implementation of HDFS used for reading and writing regular files from Amazon EMR directly to Amazon S3.
I am not using EMR - i create my files by launching an EC2 cluster and then use s3 as a cold storage - but I am kind of puzzled right now and not sure which filesystem I use when I store my files on s3 using the URI scheme s3:// - do i use EMRFS or do i use the deprecated s3bfs filesystem?
Amazon S3 is an object storage system. It is not recommended to "mount" S3 as a filesystem. Amazon Elastic Block Store (EBS) is a block storage system that appears as volumes on Amazon EC2 instances.
When used from Amazon Elastic MapReduce (EMR), Hadoop has extensions that make it easy to work with Amazon S3. However, if you are not using EMR, there is no need to use EMRFS (which is available only on EMR), nor should you use S3 as a block storage system.
The easiest way to use S3 from EC2 is via the AWS Command-Line Interface (CLI). You can copy files to/from S3 by using the aws s3 cp command. There's also a sync command to make it easy to syncrhonize data to/from S3.
You can also programmatically connect to Amazon S3 via an SDK, so that your app can directly transfer files to/from S3.
As to which to choose... typically, applications like to work with files on a local filesystem, so copy your files from S3 to a local device. However, if your app can directly communicate with S3, there will be less "moving parts".
How I can I access the file sitting in the following folder of S3 which is own by someone else
s3n://elasticmapreduce/samples/wordcount/input
The files in s3n://elasticmapreduce/samples/wordcount/input are public, and made available as input by Amazon to the sample word count Hadoop program. The best way to fetch them is to
Start a new Amazon Elastic MapReduce Job Flow (it doesn't matter which one) from the Amazon Web Services console, and make sure that you keep the the job alive with the Keep Alive option
Once the EC2 machines have started, find the instances on EC2 from the Amazon Web Services console
ssh into one of the running EC2 instances, using the hadoop user, for example
ssh -i keypair.pem hadoop#ec2-IPADDRESS.compute-1.amazonaws.com
Obtain the files you need, using hadoop dfs -copyToLocal s3://elasticmapreduce/samples/wordcount/input/0002 .
sftp the files to your local system
You can access wordSplitter.py here:
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/wordSplitter.py
You can access the input files here:
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0012
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0011
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0010
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0009
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0008
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0007
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0006
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0005
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0004
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0003
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0002
https://elasticmapreduce.s3.amazonaws.com/samples/wordcount/input/0001
The owner of the folder (most likely a file in the folder) must have made it accessible to anonymous reader.
If that is the case, s3n://x/y... is translated to
http://s3.amazonaws.com/x/y...
or
http://x.s3.amazonaws.com/y...
x is the name of the bucket.
y... is the path wihtin the bucket.
If you want to make sure the file exists, e.g. if you suspect the name was misspelled, you can in your browser to open
http://s3.amazonaws.com/x
and you'll see XML describing "files" that is S3 objects, available.
Try this:
http://s3.amazonaws.com/elasticmapreduce
I tried this, and seems that the path you want is not public.
AWS EBS documentation quotes s3://elasticmapreduce/samples/wordcount/input in one of the "getting started" examples. But s3 is different from s3n, so input might be available to EMR, but not to HTTP access.
In Amazon S3, there is no concept of folders, a bucket it just a flat collection of objects. But you can list all the files you are interested in a browser with the following URL:
s3.amazonaws.com/elasticmapreduce?prefix=samples/wordcount/input/
Then you can download them by specifying the whole name, e.g.
s3.amazonaws.com/elasticmapreduce/samples/wordcount/input/0001
Is there a way to transfer a file from the web directly to my Amazon S3 account?
For example, I want to transfer a large RDF file from www.data.gov directly to Amazon S3 without having to download the file to my local machine first.
You need a server somewhere that will execute the curl command. The easiest way is probably to use this a tool that I wrote for AWS EC2: https://github.com/mjhm/cURLServer. You can check out the docs on a live version at http://ec2-204-236-157-181.us-west-1.compute.amazonaws.com/
Reduced Redundancy Storage (RRS) is a new service from Amazon that is a bit cheaper than S3 because there is less redundancy.
However, I can not find any information on how to specify that my data should use RRS rather than standard S3. In fact, there doesn't seem to be any website interface for an S3 services. If I log into AWS, there are only options for EC2, Elastic MapReduce, CloudFront and RDS, none of which I use.
I know this question is old but it's worth mentioning that Amazon's interface for S3 now has an option to change your files (recursively) to RRS. Select a folder and right click on it, under properties change the storage to RRS.
You can use S3 Browser to switch to Reduced Redundancy Storage. It allows you to view/edit storage class for a single file or for multiple files. Moreover, you can configure default storage class for the bucket, so S3 Browser will automatically apply predefined storage class for all new files you are uploading through S3 Browser.
If you are using S3 Browser to work with RRS, the following article may be helpful:
Working with Amazon S3 Reduced Redundancy Storage (RRS)
Note, Storage Class preferences are stored in a local settings file.Other s3 applications are using their own way to store bucket defaults and currently there is not single standard on this.
All objects in Amazon S3 have a
storage class setting. The default
setting is STANDARD. You can use an
optional header on a PUT request to
specify the setting
REDUCED_REDUNDANCY.
From: http://aws.amazon.com/s3/faqs/#How_do_I_specify_that_I_want_to_store_my_data_using_RRS
If you are looking for a way to convert existing data in amazon s3, you can use a fairly recent version of boto and a script I wrote. Details explained on my blog:
http://www.bryceboe.com/2010/07/02/amazon-s3-convert-objects-to-reduced-redundancy-storage/
If you're on a mac, the free cyberduck ftp program will do it. Log into S3, right-click on the bucket (or folder, or file) and choose 'info' and change the storage class from 'unknown' or 'regular s3 storage' to 'reduced redundancy storage'. Took it about 2 hours to change 30,000 files for me...
If you use boto, you can do this:
key.change_storage_class('REDUCED_REDUNDANCY')