Sha256: b1579355b3b9896df1604ca84009aad6aed45c7d1ac6114dc47f005ce276efa1
Contents?: true
Size: 1.5 KB
Versions: 3
Compression:
Stored size: 1.5 KB
Contents
# -*- encoding: utf-8 -*- require File.expand_path('../lib/wukong/version', __FILE__) Gem::Specification.new do |gem| gem.name = 'wukong' gem.homepage = 'https://github.com/infochimps-labs/wukong' gem.licenses = ["Apache 2.0"] gem.email = 'coders@infochimps.com' gem.authors = ['Infochimps', 'Philip (flip) Kromer', 'Travis Dempsey'] gem.version = Wukong::VERSION gem.summary = 'Hadoop Streaming for Ruby. Wukong makes Hadoop so easy a chimpanzee can use it, yet handles terabyte-scale computation with ease.' gem.description = <<-EOF Treat your dataset like a: * stream of lines when it's efficient to process by lines * stream of field arrays when it's efficient to deal directly with fields * stream of lightweight objects when it's efficient to deal with objects Wukong is friends with Hadoop the elephant, Pig the query language, and the cat on your command line. EOF gem.files = `git ls-files`.split("\n").reject { |path| path =~ /^(data|docpages|notes|old)/ } gem.executables = ['wu-local'] gem.test_files = gem.files.grep(/^spec/) gem.require_paths = ['lib'] gem.add_dependency('configliere', '>= 0.4.18') gem.add_dependency('multi_json', '>= 1.3.6') gem.add_dependency('vayacondios-client', '>= 0.1.2') gem.add_dependency('gorillib', '>= 0.4.2') gem.add_dependency('forgery') gem.add_dependency('uuidtools') gem.add_dependency('eventmachine') gem.add_dependency('log4r') end
Version data entries
3 entries across 3 versions & 1 rubygems
Version | Path |
---|---|
wukong-3.0.1 | wukong.gemspec |
wukong-3.0.0 | wukong.gemspec |
wukong-3.0.0.pre3 | wukong.gemspec |