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# Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import re
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
install('RELEASE', prefix)
@when('+hadoop')
def setup_environment(self, spack_env, run_env):
hadoop = self.spec['hadoop'].command
hadoop.add_default_env('JAVA_HOME', self.spec['java'].home)
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)
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