blob: 48ec248263c3041aad4af1f959132bf558cc3a5c [file] [log] [blame]
#!/usr/bin/python
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# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# software distributed under the License is distributed on an
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# ******************************************************************************
from botocore.client import Config
from fabric.api import *
import argparse
import os
import sys
import time
from fabric.api import lcd
from fabric.contrib.files import exists
from fabvenv import virtualenv
from dlab.notebook_lib import *
from dlab.actions_lib import *
from dlab.fab import *
from dlab.common_lib import *
parser = argparse.ArgumentParser()
parser.add_argument('--cluster_name', type=str, default='')
parser.add_argument('--spark_version', type=str, default='')
parser.add_argument('--hadoop_version', type=str, default='')
parser.add_argument('--os_user', type=str, default='')
parser.add_argument('--spark_master', type=str, default='')
parser.add_argument('--region', type=str, default='')
parser.add_argument('--datalake_enabled', type=str, default='')
parser.add_argument('--spark_configurations', type=str, default='')
args = parser.parse_args()
cluster_dir = '/opt/' + args.cluster_name + '/'
local_jars_dir = '/opt/jars/'
spark_version = args.spark_version
hadoop_version = args.hadoop_version
spark_link = "https://archive.apache.org/dist/spark/spark-" + spark_version + "/spark-" + spark_version + \
"-bin-hadoop" + hadoop_version + ".tgz"
def configure_rstudio():
if not os.path.exists('/home/' + args.os_user + '/.ensure_dir/rstudio_dataengine_ensured'):
try:
local('echo "export R_LIBS_USER=' + cluster_dir + 'spark/R/lib:" >> /home/' + args.os_user + '/.bashrc')
local("sed -i 's/^SPARK_HOME/#SPARK_HOME/' /home/" + args.os_user + "/.Renviron")
local("sed -i 's/^YARN_CONF_DIR/#YARN_CONF_DIR/' /home/" + args.os_user + "/.Renviron")
local("sed -i 's/^HADOOP_CONF_DIR/#HADOOP_CONF_DIR/' /home/" + args.os_user + "/.Renviron")
local('echo \'SPARK_HOME="' + cluster_dir + 'spark/"\' >> /home/' + args.os_user + '/.Renviron')
local("sed -i 's/^master/#master/' /home/" + args.os_user + "/.Rprofile")
local('echo \'master="' + args.spark_master + '" # Cluster - "' + args.cluster_name + '" \' >> /home/' +
args.os_user + '/.Rprofile')
local('''R -e "source('/home/{}/.Rprofile')"'''.format(args.os_user))
local('touch /home/' + args.os_user + '/.ensure_dir/rstudio_dataengine_ensured')
except Exception as err:
print('Error: {0}'.format(err))
sys.exit(1)
else:
try:
local("sed -i '/R_LIBS_USER/ { s|=\(.*\)|=\\1" + cluster_dir + "spark/R/lib:| }' /home/" + args.os_user + "/.bashrc")
local("sed -i 's/^SPARK_HOME/#SPARK_HOME/' /home/" + args.os_user + "/.Renviron")
local("sed -i 's/^YARN_CONF_DIR/#YARN_CONF_DIR/' /home/" + args.os_user + "/.Renviron")
local("sed -i 's/^HADOOP_CONF_DIR/#HADOOP_CONF_DIR/' /home/" + args.os_user + "/.Renviron")
local('echo \'SPARK_HOME="' + cluster_dir + 'spark/"\' >> /home/' + args.os_user + '/.Renviron')
local("sed -i 's/^master/#master/' /home/" + args.os_user + "/.Rprofile")
local('echo \'master="' + args.spark_master + '" # Cluster - "' + args.cluster_name + '" \' >> /home/' +
args.os_user + '/.Rprofile')
local('''R -e "source('/home/{}/.Rprofile')"'''.format(args.os_user))
except Exception as err:
print('Error: {0}'.format(err))
sys.exit(1)
if __name__ == "__main__":
dataengine_dir_prepare('/opt/{}/'.format(args.cluster_name))
install_dataengine_spark(args.cluster_name, spark_link, spark_version, hadoop_version, cluster_dir, args.os_user,
args.datalake_enabled)
ensure_dataengine_tensorflow_jars(local_jars_dir)
configure_dataengine_spark(args.cluster_name, local_jars_dir, cluster_dir, args.datalake_enabled,
args.spark_configurations)
configure_rstudio()