Build Azure Storage Fuse 1.2 from source

I’ve been looking to test out Azure Storage Fuse on a linux VM (Oracle Linux 7), and wanted to evaluate the authentication options to Azure.

Reading through the main README page, it describes “Managed Identity auth: (Only available for 1.2.0 or above)”, however the Releases has only been built up to 1.1.1.

The Wiki page on installation describes a method to build from source, so I thought I’d give that a shot.

Following the instructions, I hit an error when starting the build:

Unable to find the requested Boost libraries
 Could not find the following static Boost libraries:

          boost_filesystem
          boost_system

  No Boost libraries were found.  You may need to set BOOST_LIBRARYDIR to the
  directory containing Boost libraries or BOOST_ROOT to the location of
  Boost.

 

I confirmed that I had Boost installed from yum (1.53) in /usr/include/boost.

I first looked at the Issue list within the repository on GitHub, and found exactly what I needed! Issue #319 was reported with the same error, and the suggestion from richardharrison was effective for me:

In the file CMakeLists.txt
There are 2 lines of the format
set(Boost_USE_STATIC_LIBS ON)
simply change them to
set(Boost_USE_STATIC_LIBS OFF)

I modifed the CMakeLists.txt file on line #134 and #222, and changed the values and then re-ran ./build.sh

This produced a 23MB file: azure-storage-fuse-master/build/blobfuse

I did a quick test to validate that my build was working:

mkdir /mnt/blobfusetmp
mkdir /mnt/blobfuse
export AZURE_STORAGE_ACCOUNT=myaccountname
export AZURE_STORAGE_ACCESS_KEY=myaccesskey

./blobfuse /mnt/blobfuse --tmp-path=/mnt/blobfusetmp -o attr_timeout=240 -o entry_timeout=240 -o negative_timeout=120 --container-name=fuse --log-level=LOG_DEBUG --file-cache-timeout-in-seconds=120

A file within my container is now visible within my mount point!

 

Off to play with Managed Identity!

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.