Summary

Statwalker is a command-line program that scan files recursively (normally called as “walk”) and collects stats, basically file names and metadata (inode information in Linux systems). It runs in parallel in a single machine, and the output is a comma-separated file (csv), one line per file. These results can be analysed using other tools (see below).

Output

The csv file will look like this:

INODE,ATIME,MTIME,UID,GID,MODE,SIZE,DISK,PATH

Colum description:

1. INODE: device identifier and inode (Linux)

2. ATIME: last access time in unix format (seconds since epoc)

3. MTIME: last modified time in unix fromat

4. UID: user ID

5. GID: group ID

6. MODE: mode, which is file type and permissions

7. SIZE: real size in bytes, same value reported with command du -b

8. DISK: disk usage, which is number of blocks times 512

9. PATH: full path

How it works

Collecting stats is as simple as this one-liner in bash:

$ TODO

There are many tools doing the same thing, the problem is performance. After trying some tools in a file system with many terabytes of data and millions of files, the problem became untractable. I run statwalker in a storage with 100+ millions of files, with a reading rate over NFS folders of 3000 files/second on average, and much faster if disks are local.

Installation

Use pip:

$ pip install statwalker

Usage

# run it from the command line to see available parameters:
$ statwalker -h

# run it with options
$ statwalker -o output.csv /home

Contribute

Clone the github repository:

$ git clone https://github.com/sganis/statwalker.git

TODO

• Add documentation with analysis tools, resolution, agregation, benchmark with c++ and mpi versions.

• Add notes for windows users