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A FUSE wrapper around MongoDB gridfs using python and llfuse.

Project description

# python gridfs fuse
A FUSE wrapper around MongoDB gridfs using python and llfuse.

## Usage

gridfs_fuse --mongodb-uri="mongodb://" --database="gridfs_fuse" --mount-point="/mnt/gridfs_fuse" # --options=allow_other

### fstab example
mongodb:// /mnt/gridfs_fuse gridfs defaults,allow_other 0 0
Note this assumes that you have the `mount.gridfs` program (or `mount_gridfs` on MacOS X) symlinked
into `/sbin/` e.g.
sudo ln -s $(which mount.gridfs) /sbin/`

## Requirements
* pymongo
* llfuse

## Install
Ubuntu 16.04:
sudo apt-get install libfuse python-llfuse
sudo -H pip install gridfs-fuse

brew install osxfuse
sudo -H pip install gridfs-fuse

## Operations supported
* create/list/delete directories => folder support.
* read files.
* delete files.
* open and write once (like HDFS).
* rename

## Operations not supported
* modify an existing file.
* resize an existing file.
* hardlink
* symlink
* statfs

## Performance
### Setup
* AWS d2.xlarge machine.
* 4 @ 2.40Ghz (E5-2676)
* 30 gigabyte RAM
* filesystem: ext4
* block device: three instance storage disks combined with lvm.
lvcreate -L 3T -n mongo -i 3 -I 4096 ax /dev/xvdb /dev/xvdc /dev/xvdd
* mongodb 3.0.1
* mongodb storage engine WiredTiger
* mongodb compression: snappy
* mongodb cache size: 10 gigabyte

### Results
* sequential write performance: ~46 MB/s
* sequential read performance: ~90 MB/s

Write performance was tested by copying 124 files, each having a size of 9 gigabytes and different content.
Compression factor was about factor three.
Files were copied one by one => no parallel execution.

Read performance was tested by randomly picking 10 files out of the 124.
Files were read one by one => no parallel execution.

# Simple illustration of the commands used (not the full script).

# Write
pv -pr /tmp/big_file${file_number} /mnt/gridfs_fuse/

# Read
pv -pr /mnt/gridfs_fuse${file_number} > /dev/null

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