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When the prefetch size is limited to the multipart size, the entire parallel logic of the read flow does not have an opportunity to use parallel get. This fix increases the read performance significantly over our own s3 on-premise solution. |
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s3fs
s3fs allows Linux and Mac OS X to mount an S3 bucket via FUSE. s3fs preserves the native object format for files, allowing use of other tools like s3cmd.
Features
- large subset of POSIX including reading/writing files, directories, symlinks, mode, uid/gid, and extended attributes
- compatible with Amazon S3, Google Cloud Storage, and other S3-based object stores
- large files via multi-part upload
- renames via server-side copy
- optional server-side encryption
- data integrity via MD5 hashes
- in-memory metadata caching
- local disk data caching
- user-specified regions, including Amazon GovCloud
- authenticate via v2 or v4 signatures
Installation
Ensure you have all the dependencies:
On Ubuntu 14.04:
sudo apt-get install automake autotools-dev g++ git libcurl4-gnutls-dev libfuse-dev libssl-dev libxml2-dev make pkg-config
On CentOS 7:
sudo yum install automake fuse-devel gcc-c++ git libcurl-devel libxml2-devel make openssl-devel
Compile from master via the following commands:
git clone https://github.com/s3fs-fuse/s3fs-fuse.git
cd s3fs-fuse
./autogen.sh
./configure
make
sudo make install
Examples
Enter your S3 identity and credential in a file /path/to/passwd:
echo MYIDENTITY:MYCREDENTIAL > /path/to/passwd
Make sure the file has proper permissions (if you get 'permissions' error when mounting) /path/to/passwd:
chmod 600 /path/to/passwd
Run s3fs with an existing bucket mybucket and directory /path/to/mountpoint:
s3fs mybucket /path/to/mountpoint -o passwd_file=/path/to/passwd
If you encounter any errors, enable debug output:
s3fs mybucket /path/to/mountpoint -o passwd_file=/path/to/passwd -d -d -f -o f2 -o curldbg
You can also mount on boot by entering the following line to /etc/fstab:
s3fs#mybucket /path/to/mountpoint fuse _netdev,allow_other 0 0
Limitations
Generally S3 cannot offer the same performance or semantics as a local file system. More specifically:
- random writes or appends to files require rewriting the entire file
- metadata operations such as listing directories have poor performance due to network latency
- eventual consistency can temporarily yield stale data
- no atomic renames of files or directories
- no coordination between multiple clients mounting the same bucket
- no hard links
References
- s3backer - mount an S3 bucket as a single file
- s3fs-python - an older and less complete implementation written in Python
- S3Proxy - combine with s3fs to mount EMC Atmos, Microsoft Azure, and OpenStack Swift buckets
- s3ql - similar to s3fs but uses its own object format
- YAS3FS - similar to s3fs but uses SNS to allow multiple clients to mount a bucket
Frequently Asked Questions
License
Copyright (C) 2010 Randy Rizun rrizun@gmail.com
Licensed under the GNU GPL version 2