| #!/usr/bin/python3 |
| |
| # ***************************************************************************** |
| # |
| # 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 |
| import subprocess |
| from datalab.actions_lib import * |
| from datalab.common_lib import * |
| from datalab.fab import * |
| from datalab.notebook_lib import * |
| from fabric import * |
| |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--cluster_name', type=str, default='') |
| parser.add_argument('--dry_run', type=str, default='false') |
| 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() |
| |
| kernels_dir = '/home/' + args.os_user + '/.local/share/jupyter/kernels/' |
| cluster_dir = '/opt/' + args.cluster_name + '/' |
| local_jars_dir = '/opt/jars/' |
| |
| spark_version = args.spark_version |
| hadoop_version = args.hadoop_version |
| scala_link = "https://www.scala-lang.org/files/archive/" |
| spark_link = "https://archive.apache.org/dist/spark/spark-" + spark_version + "/spark-" + spark_version + \ |
| "-bin-hadoop" + hadoop_version + ".tgz" |
| |
| |
| def pyspark_kernel(args): |
| spark_path = '/opt/' + args.cluster_name + '/spark/' |
| subprocess.run('mkdir -p ' + kernels_dir + 'pyspark_' + args.cluster_name + '/', shell=True, check=True) |
| kernel_path = kernels_dir + "pyspark_" + args.cluster_name + "/kernel.json" |
| template_file = "/tmp/{}/pyspark_dataengine_template.json".format(args.cluster_name) |
| with open(template_file, 'r') as f: |
| text = f.read() |
| text = text.replace('CLUSTER_NAME', args.cluster_name) |
| text = text.replace('SPARK_VERSION', 'Spark-' + spark_version) |
| text = text.replace('SPARK_PATH', spark_path) |
| text = text.replace('PYTHON_SHORT_VERSION', '3.8') |
| text = text.replace('PYTHON_FULL_VERSION', '3.8') |
| text = text.replace('MASTER', args.spark_master) |
| text = text.replace('PYTHON_PATH', '/usr/bin/python3.8') |
| with open(kernel_path, 'w') as f: |
| f.write(text) |
| subprocess.run('touch /tmp/{}/kernel_var.json'.format(args.cluster_name), shell=True, check=True) |
| subprocess.run( |
| '''bash -l -c "PYJ=`find /opt/{0}/spark/ -name '*py4j*.zip' | tr '\\n' ':' | sed 's|:$||g'`; cat {1} | sed 's|PY4J|'$PYJ'|g' | sed \'/PYTHONPATH\"\:/s|\(.*\)\"|\\1/home/{2}/caffe/python:/home/{2}/pytorch/build:\"|\' > /tmp/{0}/kernel_var.json" '''. |
| format(args.cluster_name, kernel_path, args.os_user), shell=True, check=True) |
| subprocess.run('sudo mv /tmp/{}/kernel_var.json '.format(args.cluster_name) + kernel_path, shell=True, check=True) |
| |
| subprocess.run('mkdir -p ' + kernels_dir + 'py3spark_' + args.cluster_name + '/', shell=True, check=True) |
| kernel_path = kernels_dir + "py3spark_" + args.cluster_name + "/kernel.json" |
| template_file = "/tmp/{}/pyspark_dataengine_template.json".format(args.cluster_name) |
| with open(template_file, 'r') as f: |
| text = f.read() |
| text = text.replace('CLUSTER_NAME', args.cluster_name) |
| text = text.replace('SPARK_VERSION', 'Spark-' + spark_version) |
| text = text.replace('SPARK_PATH', spark_path) |
| text = text.replace('MASTER', args.spark_master) |
| text = text.replace('PYTHON_SHORT_VERSION', '3.8') |
| text = text.replace('PYTHON_FULL_VERSION', '3.8') |
| text = text.replace('PYTHON_PATH', '/usr/bin/python3.8') |
| with open(kernel_path, 'w') as f: |
| f.write(text) |
| subprocess.run('touch /tmp/{}/kernel_var.json'.format(args.cluster_name), shell=True, check=True) |
| subprocess.run( |
| '''bash -l -c "PYJ=`find /opt/{0}/spark/ -name '*py4j*.zip' | tr '\\n' ':' | sed 's|:$||g'`; cat {1} | sed 's|PY4J|'$PYJ'|g' | sed \'/PYTHONPATH\"\:/s|\(.*\)\"|\\1/home/{2}/caffe/python:/home/{2}/pytorch/build:\"|\' > /tmp/{0}/kernel_var.json" '''. |
| format(args.cluster_name, kernel_path, args.os_user), shell=True, check=True) |
| subprocess.run('sudo mv /tmp/{}/kernel_var.json '.format(args.cluster_name) + kernel_path, shell=True, check=True) |
| |
| def install_sparkamagic_kernels(args): |
| try: |
| subprocess.run('sudo jupyter nbextension enable --py --sys-prefix widgetsnbextension', shell=True, check=True) |
| sparkmagic_dir = subprocess.run("sudo pip3 show sparkmagic | grep 'Location: ' | awk '{print $2}'", capture_output=True, shell=True, check=True).stdout.decode('UTF-8').rstrip("\n\r") |
| subprocess.run('sudo jupyter-kernelspec install {}/sparkmagic/kernels/sparkkernel --user'.format(sparkmagic_dir), shell=True, check=True) |
| subprocess.run('sudo jupyter-kernelspec install {}/sparkmagic/kernels/pysparkkernel --user'.format(sparkmagic_dir), shell=True, check=True) |
| |
| pyspark_kernel_name = 'PySpark (Python-{2} / Spark-{0} ) [{1}]'.format(args.spark_version, |
| args.cluster_name, os.environ['notebook_python_venv_version'][:3]) |
| subprocess.run('sed -i \'s|PySpark|{0}|g\' /home/{1}/.local/share/jupyter/kernels/pysparkkernel/kernel.json'.format( |
| pyspark_kernel_name, args.os_user), shell=True, check=True) |
| scala_version = subprocess.run('spark-submit --version 2>&1 | grep -o -P "Scala version \K.{0,7}"', capture_output=True, shell=True, check=True).stdout.decode('UTF-8').rstrip("\n\r") |
| spark_kernel_name = 'Spark (Scala-{0} / Spark-{1} ) [{2}]'.format(scala_version, args.spark_version, |
| args.cluster_name) |
| subprocess.run('sed -i \'s|Spark|{0}|g\' /home/{1}/.local/share/jupyter/kernels/sparkkernel/kernel.json'.format( |
| spark_kernel_name, args.os_user), shell=True, check=True) |
| |
| subprocess.run('sudo mv -f /home/{0}/.local/share/jupyter/kernels/pysparkkernel ' |
| '/home/{0}/.local/share/jupyter/kernels/pysparkkernel_{1}'.format(args.os_user, args.cluster_name), shell=True, check=True) |
| subprocess.run('sudo mv -f /home/{0}/.local/share/jupyter/kernels/sparkkernel ' |
| '/home/{0}/.local/share/jupyter/kernels/sparkkernel_{1}'.format(args.os_user, args.cluster_name), shell=True, check=True) |
| |
| subprocess.run('mkdir -p /home/' + args.os_user + '/.sparkmagic', shell=True, check=True) |
| subprocess.run('cp -f /tmp/sparkmagic_config_template.json /home/' + args.os_user + '/.sparkmagic/config.json', shell=True, check=True) |
| spark_master_ip = args.spark_master.split('//')[1].split(':')[0] |
| subprocess.run('sed -i \'s|LIVY_HOST|{0}|g\' /home/{1}/.sparkmagic/config.json'.format( |
| spark_master_ip, args.os_user), shell=True, check=True) |
| subprocess.run('sudo chown -R {0}:{0} /home/{0}/.sparkmagic/'.format(args.os_user), shell=True, check=True) |
| except: |
| sys.exit(1) |
| |
| if __name__ == "__main__": |
| if args.dry_run == 'true': |
| parser.print_help() |
| else: |
| install_sparkamagic_kernels(args) |
| #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) |
| #pyspark_kernel(args) |
