Hi Lars, The readme for this talks about the LZO from Google Code and using svn to get it. Does it also work with the more recent versions on Github?
I usually build these things manually and move things around myself. Also because I always try to provide one hadoop+hbase binary + source dist internally that has all the native libs for Linux and OSX, so it also works for the local installs on dev machines... Friso On 26 jan 2011, at 12:38, Lars George wrote: > I agree with Friso, using Todd's LZO Packager this is really easy: > https://github.com/toddlipcon/hadoop-lzo-packager > > Lars > > > On Wed, Jan 26, 2011 at 10:41 AM, Friso van Vollenhoven > <fvanvollenho...@xebia.com> wrote: >> Are you sure it is not a problem with the network on your side? Clicking the >> link and downloading that jar works fine for me. >> >> I don't think jar files are either 32 or 64 bit, but the native libraries >> that go with LZO are. I would recommend building them on your target >> platform/architecture and not use libs that are built elsewhere. >> >> >> Friso >> >> >> >> On 25 jan 2011, at 21:34, Peter Haidinyak wrote: >> >>> Hi, I am kind of in a pickle right now. I enabled LZO compression on a >>> table without having the correct lzo jar. Now HBase doesn't startup because >>> of the missing jar. I am trying to build the LZO jar but Ivy, for some >>> reason, can't connect to >>> >>> http://repo2.maven.org/maven2/org/apache/ivy/ivy/2.0.0-rc2/ivy-2.0.0-rc2.jar >>> >>> to download the jar. I have tried running the build in offline mode but the >>> Ivy gets stuck at.. >>> >>> ivy-resolve-common: >>> [ivy:resolve] :: resolving dependencies :: >>> com.hadoop.gplcompression#Hadoop-GPL-Compression;working@caiss01a >>> [ivy:resolve] confs: [common] >>> >>> Would anyone have a pre-build 32bit LZO jar available? >>> >>> Thanks >>> >>> -Pete >> >>
