##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
import re
import shutil
from spack import *
class Spark(Package):
"""Apache Spark is a fast and general engine
for large-scale data processing.
"""
homepage = "http://spark.apache.org"
url = "http://archive.apache.org/dist/spark/spark-2.0.0/spark-2.0.0-bin-without-hadoop.tgz"
variant('hadoop', default=False,
description='Build with Hadoop')
depends_on('java', type=('build', 'run'))
depends_on('hadoop', when='+hadoop', type=('build', 'run'))
version('2.3.0', 'db21021b8e877b219ab886097ef42344')
version('2.1.0', '21d4471e78250775b1fa7c0e6c3a1326')
version('2.0.2', '32110c1bb8f081359738742bd26bced1')
version('2.0.0', '8a5307d973da6949a385aefb6ff747bb')
version('1.6.2', '304394fbe2899211217f0cd9e9b2b5d9')
version('1.6.1', 'fcf4961649f15af1fea78c882e65b001')
version('1.6.0', '2c28edc89ca0067e63e525c04f7b1d89')
def install(self, spec, prefix):
def install_dir(dirname):
install_tree(dirname, join_path(prefix, dirname))
install_dir('bin')
install_dir('conf')
install_dir('jars')
install_dir('python')
install_dir('R')
install_dir('sbin')
install_dir('yarn')
# required for spark to recognize binary distribution
shutil.copy('RELEASE', prefix)
@when('+hadoop')
def setup_environment(self, spack_env, run_env):
env['JAVA_HOME'] = self.spec['java'].prefix
# spack_env.set('JAVA_HOME', self.spec['jdk'].prefix)
hadoop = self.spec['hadoop'].command
hadoop_classpath = hadoop('classpath', output=str)
# Remove whitespaces, as they can compromise syntax in
# module files
hadoop_classpath = re.sub('[\s+]', '', hadoop_classpath)
run_env.set('SPARK_DIST_CLASSPATH', hadoop_classpath)
