| #!/usr/bin/python |
| |
| # ***************************************************************************** |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # 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 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| # ****************************************************************************** |
| |
| import argparse |
| import sys |
| from datalab.actions_lib import * |
| from datalab.common_lib import * |
| from datalab.fab import * |
| from datalab.notebook_lib import * |
| from fabric.api import * |
| |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--bucket', type=str, default='') |
| parser.add_argument('--cluster_name', type=str, default='') |
| parser.add_argument('--dry_run', type=str, default='false') |
| parser.add_argument('--dataproc_version', type=str, default='') |
| parser.add_argument('--spark_version', type=str, default='') |
| parser.add_argument('--hadoop_version', type=str, default='') |
| parser.add_argument('--region', type=str, default='') |
| parser.add_argument('--user_name', type=str, default='') |
| parser.add_argument('--os_user', type=str, default='') |
| parser.add_argument('--pip_mirror', type=str, default='') |
| parser.add_argument('--application', type=str, default='') |
| parser.add_argument('--r_version', type=str, default='') |
| parser.add_argument('--r_enabled', type=str, default='') |
| parser.add_argument('--scala_version', type=str, default='') |
| parser.add_argument('--python_version', type=str, default='') |
| parser.add_argument('--master_ip', type=str, default='') |
| args = parser.parse_args() |
| |
| dataproc_dir = '/opt/{}/jars/'.format(args.dataproc_version) |
| kernels_dir = '/home/{}/.local/share/jupyter/kernels/'.format(args.os_user) |
| spark_dir = '/opt/{}/{}/spark/'.format(args.dataproc_version, args.cluster_name) |
| yarn_dir = '/opt/{}/{}/conf/'.format(args.dataproc_version, args.cluster_name) |
| |
| |
| def r_kernel(args): |
| spark_path = '/opt/{}/{}/spark/'.format(args.dataproc_version, args.cluster_name) |
| local('mkdir -p {}/r_{}/'.format(kernels_dir, args.cluster_name)) |
| kernel_path = "{}/r_{}/kernel.json".format(kernels_dir, args.cluster_name) |
| template_file = "/tmp/r_dataengine-service_template.json" |
| |
| with open(template_file, 'r') as f: |
| text = f.read() |
| text = text.replace('CLUSTER_NAME', args.cluster_name) |
| text = text.replace('SPARK_PATH', spark_path) |
| text = text.replace('SPARK_VERSION', 'Spark-' + args.spark_version) |
| text = text.replace('R_KERNEL_VERSION', 'R-{}'.format(args.r_version)) |
| text = text.replace('DATAENGINE-SERVICE_VERSION', args.dataproc_version) |
| text = text.replace('YARN_CLI_TYPE', 'yarn') |
| text = text.replace('SPARK_ACTION', 'session(master = \\\"yarn\\\")') |
| with open(kernel_path, 'w') as f: |
| f.write(text) |
| |
| |
| def toree_kernel(args): |
| spark_path = '/opt/{0}/{1}/spark/'.format(args.dataproc_version, args.cluster_name) |
| local('mkdir -p {0}toree_{1}/'.format(kernels_dir, args.cluster_name)) |
| local('tar zxvf /tmp/toree_kernel.tar.gz -C {0}toree_{1}/'.format(kernels_dir, args.cluster_name)) |
| local('sudo mv {0}toree_{1}/toree-0.3.0-incubating/* {0}toree_{1}/'.format(kernels_dir, args.cluster_name)) |
| local('sudo rm -r {0}toree_{1}/toree-0.3.0-incubating'.format(kernels_dir, args.cluster_name)) |
| kernel_path = '{0}toree_{1}/kernel.json'.format(kernels_dir, args.cluster_name) |
| template_file = "/tmp/toree_dataengine-service_templatev2.json" |
| with open(template_file, 'r') as f: |
| text = f.read() |
| text = text.replace('CLUSTER_NAME', args.cluster_name) |
| text = text.replace('SPARK_VERSION', 'Spark-' + args.spark_version) |
| text = text.replace('SPARK_PATH', spark_path) |
| text = text.replace('OS_USER', args.os_user) |
| text = text.replace('DATAENGINE-SERVICE_VERSION', args.dataproc_version) |
| text = text.replace('SCALA_VERSION', args.scala_version) |
| with open(kernel_path, 'w') as f: |
| f.write(text) |
| local('touch /tmp/kernel_var.json') |
| local( |
| "PYJ=`find /opt/" + args.dataproc_version + "/" + args.cluster_name + |
| "/spark/ -name '*py4j*.zip' | tr '\\n' ':' | sed 's|:$||g'`; cat " + kernel_path + |
| " | sed 's|PY4J|'$PYJ'|g' > /tmp/kernel_var.json") |
| local('sudo mv /tmp/kernel_var.json ' + kernel_path) |
| run_sh_path = kernels_dir + "toree_" + args.cluster_name + "/bin/run.sh" |
| template_sh_file = '/tmp/run_template.sh' |
| with open(template_sh_file, 'r') as f: |
| text = f.read() |
| text = text.replace('CLUSTER_NAME', args.cluster_name) |
| text = text.replace('OS_USER', args.os_user) |
| with open(run_sh_path, 'w') as f: |
| f.write(text) |
| |
| def install_sparkamagic_kernels(args): |
| try: |
| local('sudo jupyter nbextension enable --py --sys-prefix widgetsnbextension') |
| sparkmagic_dir = local("sudo pip3 show sparkmagic | grep 'Location: ' | awk '{print $2}'", capture=True) |
| local('sudo jupyter-kernelspec install {}/sparkmagic/kernels/sparkkernel --user'.format(sparkmagic_dir)) |
| local('sudo jupyter-kernelspec install {}/sparkmagic/kernels/pysparkkernel --user'.format(sparkmagic_dir)) |
| local('sudo jupyter-kernelspec install {}/sparkmagic/kernels/sparkrkernel --user'.format(sparkmagic_dir)) |
| pyspark_kernel_name = 'PySpark (Python-{0} / Spark-{1} ) [{2}]'.format(args.python_version, args.spark_version, |
| args.cluster_name) |
| local('sed -i \'s|PySpark|{0}|g\' /home/{1}/.local/share/jupyter/kernels/pysparkkernel/kernel.json'.format( |
| pyspark_kernel_name, args.os_user)) |
| spark_kernel_name = 'Spark (Scala-{0} / Spark-{1} ) [{2}]'.format(args.scala_version, args.spark_version, |
| args.cluster_name) |
| local('sed -i \'s|Spark|{0}|g\' /home/{1}/.local/share/jupyter/kernels/sparkkernel/kernel.json'.format( |
| spark_kernel_name, args.os_user)) |
| sparkr_kernel_name = 'SparkR (R-{0} / Spark-{1} ) [{2}]'.format(args.r_version, args.spark_version, |
| args.cluster_name) |
| local('sed -i \'s|SparkR|{0}|g\' /home/{1}/.local/share/jupyter/kernels/sparkrkernel/kernel.json'.format( |
| sparkr_kernel_name, args.os_user)) |
| local('mkdir -p /home/' + args.os_user + '/.sparkmagic') |
| local('cp -f /tmp/sparkmagic_config_template.json /home/' + args.os_user + '/.sparkmagic/config.json') |
| local('sed -i \'s|LIVY_HOST|{0}|g\' /home/{1}/.sparkmagic/config.json'.format( |
| args.master_ip, args.os_user)) |
| local('sudo chown -R {0}:{0} /home/{0}/.sparkmagic/'.format(args.os_user)) |
| except: |
| sys.exit(1) |
| |
| if __name__ == "__main__": |
| if args.dry_run == 'true': |
| parser.print_help() |
| else: |
| install_sparkamagic_kernels(args) |
| #result = prepare(dataproc_dir, yarn_dir) |
| #if result == False : |
| # actions_lib.GCPActions().jars(args, dataproc_dir) |
| #actions_lib.GCPActions().yarn(args, yarn_dir) |
| #actions_lib.GCPActions().install_dataproc_spark(args) |
| #pyspark_kernel(kernels_dir, args.dataproc_version, args.cluster_name, args.spark_version, args.bucket, |
| # args.user_name, args.region, args.os_user, args.application, args.pip_mirror) |
| #toree_kernel(args) |
| #if args.r_enabled == 'true': |
| # r_kernel(args) |
| #actions_lib.GCPActions().spark_defaults(args) |
| #configuring_notebook(args.dataproc_version) |
