Ultimo aggiornamento: 28-01-2016

A day I friend of mine give me an old Raspberry B+ and I  found on internet this tutorial by The University of Glasgow’s Raspberry Pi Project Blog . I tried to compile Hadoop on it, in the way that native libraries are loaded (you can check this with hadoop checknative -a) 

But why are native libraries (libhadoop, zlib, snappy, lz4, bzip2 and openssl) so important? I get the answer from the Hadoop page:

“Hadoop has native implementations of certain components for performance reasons and for non-availability of Java implementations.”

Raspberry B+ is not so fast and use more possible native code is better! (Raspberry Zero was also released: it is 40% faster than B+ but it has not ethernet support ).

So I started to compile it on hardware. I started from this tutorial by Headamage for Raspi2 and after some days of experiments, I have successfully compiled Hadoop!
First: I used an external USB disk also because compile projects of this dimension can destroy your SD card. You need at least 1.5GB  of free memory on an ext2  partition  (or some other file system that support symbolic links) only to compile Hadoop without protobuf: so I suggest you 3GB of free memory on disk for everythings. Continue reading How to compile Hadoop 2.7.1 on Raspberry Pi B+ →