зеркало из https://github.com/Azure/aztk.git
list apps + jupyter + refactor
This commit is contained in:
jiata
Родитель
73b2b6d531
Коммит
336f08d408
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@ -0,0 +1,98 @@
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#!/usr/bin/env python
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from redbull import sparklib
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try:
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import configparser
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except ImportError:
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import ConfigParser as configparser
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import os
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import datetime
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import random
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import argparse
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import azure.batch.batch_service_client as batch
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import azure.batch.batch_auth as batch_auth
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import azure.batch.models as batch_models
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import azure.storage.blob as blob
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# config file path
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_config_path = os.path.join(os.path.dirname(__file__), '../configuration.cfg')
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if __name__ == '__main__':
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_pool_id = None
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_username = 'admin'
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_password = 'pass123!'
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# parse arguments
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parser = argparse.ArgumentParser(prog="az_spark")
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parser.add_argument("--cluster-id", required=True,
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help="the unique name of your spark cluster")
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parser.add_argument("-u", "--user",
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help="the relative path to your spark app in your directory")
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parser.add_argument("-p", "--password",
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help="the relative path to your spark app in your directory")
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args = parser.parse_args()
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print()
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if args.cluster_id is not None:
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_pool_id = args.cluster_id
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print("spark cluster id: %s" % _pool_id)
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if args.user is not None:
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_username = args.user
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print("az_spark username: %s" % _username)
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if args.password is not None:
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_password = args.password
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print("az_spark password: %s" % _password)
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# Read config file
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global_config = configparser.ConfigParser()
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global_config.read(_config_path)
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# Set up the configuration
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batch_account_key = global_config.get('Batch', 'batchaccountkey')
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batch_account_name = global_config.get('Batch', 'batchaccountname')
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batch_service_url = global_config.get('Batch', 'batchserviceurl')
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# Set up SharedKeyCredentials
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credentials = batch_auth.SharedKeyCredentials(
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batch_account_name,
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batch_account_key)
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# Set up Batch Client
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batch_client = batch.BatchServiceClient(
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credentials,
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base_url=batch_service_url)
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# Set retry policy
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batch_client.config.retry_policy.retries = 5
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# set app_id to jupyter
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app_id = "jupyter-" + _pool_id
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# get ssh command
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sparklib.jupyter(
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batch_client,
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pool_id = _pool_id,
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app_id = app_id,
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username = _username,
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password = _password)
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@ -0,0 +1,71 @@
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#!/usr/bin/env python
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from redbull import sparklib
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try:
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import configparser
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except ImportError:
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import ConfigParser as configparser
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import os
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import datetime
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import random
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import argparse
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import azure.batch.batch_service_client as batch
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import azure.batch.batch_auth as batch_auth
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import azure.batch.models as batch_models
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import azure.storage.blob as blob
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# config file path
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_config_path = os.path.join(os.path.dirname(__file__), '../configuration.cfg')
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if __name__ == '__main__':
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_pool_id = None
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# parse arguments
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parser = argparse.ArgumentParser(prog="az_spark")
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parser.add_argument("--cluster-id", required=True,
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help="the unique name of your spark cluster")
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args = parser.parse_args()
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print()
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if args.cluster_id is not None:
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_pool_id = args.cluster_id
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print("spark cluster id: %s" % _pool_id)
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# Read config file
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global_config = configparser.ConfigParser()
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global_config.read(_config_path)
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# Set up the configuration
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batch_account_key = global_config.get('Batch', 'batchaccountkey')
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batch_account_name = global_config.get('Batch', 'batchaccountname')
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batch_service_url = global_config.get('Batch', 'batchserviceurl')
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# Set up SharedKeyCredentials
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credentials = batch_auth.SharedKeyCredentials(
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batch_account_name,
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batch_account_key)
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# Set up Batch Client
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batch_client = batch.BatchServiceClient(
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credentials,
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base_url=batch_service_url)
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# Set retry policy
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batch_client.config.retry_policy.retries = 5
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# get ssh command
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sparklib.list_apps(
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batch_client,
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pool_id = _pool_id)
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@ -87,6 +87,7 @@ if __name__ == '__main__':
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app_id = _app_id,
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username = _username,
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password = _password)
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ports = [8888])
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@ -5,6 +5,93 @@ import datetime
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import azure.batch.models as batch_models
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_WEBUI_PORT = 8082
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_JUPYTER_PORT = 7777
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def install_cmd():
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'''
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this command is run-elevated
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'''
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return [
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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'chmod -R 777 $SPARK_HOME',
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'exit 0'
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]
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def connect_cmd():
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return [
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# print env vars for debug
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'echo CCP_NODES:',
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'echo $CCP_NODES',
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'echo AZ_BATCH_NODE_LIST:',
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'echo $AZ_BATCH_NODE_LIST',
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'echo AZ_BATCH_HOST_LIST:',
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'echo $AZ_BATCH_HOST_LIST',
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'echo AZ_BATCH_MASTER_NODE:',
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'echo $AZ_BATCH_MASTER_NODE',
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'echo AZ_BATCH_IS_CURRENT_NODE_MASTER:',
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'echo $AZ_BATCH_IS_CURRENT_NODE_MASTER',
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# set SPARK_HOME environment vars
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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# copy a 'slaves' file from the slaves.template in $SPARK_HOME/conf
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'cp $SPARK_HOME/conf/slaves.template $SPARK_HOME/conf/slaves'
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# delete existing content & create a new line in the slaves file
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'echo > $SPARK_HOME/conf/slaves',
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# add batch pool ips to newly created slaves files
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'IFS="," read -r -a workerips <<< $AZ_BATCH_HOST_LIST',
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'for index in "${!workerips[@]}"',
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'do echo "${workerips[index]}" >> $SPARK_HOME/conf/slaves', # TODO unless node is master
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'echo "${workerips[index]}"',
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'done'
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]
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def custom_app_cmd(webui_port, app_file_name):
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return [
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# set SPARK_HOME environment vars
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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# kick off start-all spark command as a bg process
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'($SPARK_HOME/sbin/start-all.sh --webui-port ' + str(webui_port) + ' &)',
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# execute spark-submit on the specified app
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'$SPARK_HOME/bin/spark-submit ' +
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'--master spark://${AZ_BATCH_MASTER_NODE%:*}:7077 ' +
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'$AZ_BATCH_TASK_WORKING_DIR/' + app_file_name
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]
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# TODO not working
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def jupyter_cmd(webui_port, jupyter_port):
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return [
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# set SPARK_HOME environment vars
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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# kick off start-all spark command as a bg process
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'($SPARK_HOME/sbin/start-all.sh --webui-port ' + str(webui_port) + ' &)',
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# jupyter setup: remove auth
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'mkdir $HOME/.jupyter',
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'touch $HOME/.jupyter/jupyter_notebook_config.py',
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'echo >> $HOME/.jupyter/jupyter_notebook_config.py',
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'echo "c.NotebookApp.token=\'\'" >> $HOME/.jupyter/jupyter_notebook_config.py',
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'echo "c.NotebookApp.password=\'\'" >> $HOME/.jupyter/jupyter_notebook_config.py',
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# start jupyter notebook
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'PYSPARK_DRIVER_PYTHON=jupyter ' +
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'PYSPARK_DRIVER_PYTHON_OPTS="notebook --no-browser --port=' + str(jupyter_port) + '" ' +
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'pyspark ' +
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'--master spark://${AZ_BATCH_MASTER_NODE%:*}:7077 ' +
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'--executor-memory 6400M ' +
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'--driver-memory 6400M'
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]
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def create_cluster(
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batch_client,
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pool_id,
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@ -32,13 +119,7 @@ def create_cluster(
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_sku = 'linuxdsvm'
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# start task command
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start_task_commands = [
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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'chmod -R 777 $SPARK_HOME',
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'exit 0'
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]
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start_task_commands = install_cmd()
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# Get a verified node agent sku
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sku_to_use, image_ref_to_use = \
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util.select_latest_verified_vm_image_with_node_agent_sku(
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@ -104,6 +185,7 @@ def submit_app(
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app_id,
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app_file_path,
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app_file_name):
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#TODO add 'wait' param
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"""
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Submit a spark app
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@ -126,45 +208,11 @@ def submit_app(
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app_resource_file = \
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util.upload_file_to_container(
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blob_client, container_name = app_id, file_path = app_file_path)
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# configure multi-instance task commands
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coordination_commands = [
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'echo CCP_NODES:',
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'echo $CCP_NODES',
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'echo AZ_BATCH_NODE_LIST:',
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'echo $AZ_BATCH_NODE_LIST',
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'echo AZ_BATCH_HOST_LIST:',
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'echo $AZ_BATCH_HOST_LIST',
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'echo AZ_BATCH_MASTER_NODE:',
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'echo $AZ_BATCH_MASTER_NODE',
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'echo AZ_BATCH_IS_CURRENT_NODE_MASTER:',
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'echo $AZ_BATCH_IS_CURRENT_NODE_MASTER',
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# set SPARK_HOME environment vars
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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# create a 'slaves' file from the slaves.template in $SPARK_HOME/conf
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'cp $SPARK_HOME/conf/slaves.template $SPARK_HOME/conf/slaves'
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# create a new line in the slaves file
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'echo >> $SPARK_HOME/conf/slaves',
|
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# add batch pool ips to newly created slaves files
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'IFS="," read -r -a workerips <<< $AZ_BATCH_HOST_LIST',
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'for index in "${!workerips[@]}"',
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'do echo "${workerips[index]}" >> $SPARK_HOME/conf/slaves',
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'echo "${workerips[index]}"',
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'done'
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]
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application_commands = [
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# set SPARK_HOME environment vars
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'export SPARK_HOME=/dsvm/tools/spark/current',
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'export PATH=$PATH:$SPARK_HOME/bin',
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# kick off start-all spark command as a bg process
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'($SPARK_HOME/sbin/start-all.sh &)',
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# execute spark-submit on the specified app
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'$SPARK_HOME/bin/spark-submit ' +
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'--master spark://${AZ_BATCH_MASTER_NODE%:*}:7077 ' +
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'$AZ_BATCH_TASK_WORKING_DIR/' + app_file_name
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]
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# create application/coordination commands
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coordination_cmd = connect_cmd()
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application_cmd = custom_app_cmd(_WEBUI_PORT, app_file_name)
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# Get pool size
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pool = batch_client.pool.get(pool_id)
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pool_size = pool.target_dedicated
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@ -172,12 +220,12 @@ def submit_app(
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# Create multi-instance task
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task = batch_models.TaskAddParameter(
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id = app_id,
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command_line = util.wrap_commands_in_shell(application_commands),
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command_line = util.wrap_commands_in_shell(application_cmd),
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resource_files = [app_resource_file],
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run_elevated = False,
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multi_instance_settings = batch_models.MultiInstanceSettings(
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number_of_instances = pool_size,
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coordination_command_line = util.wrap_commands_in_shell(coordination_commands),
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coordination_command_line = util.wrap_commands_in_shell(coordination_cmd),
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common_resource_files = []))
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# Add task to batch job (which has the same name as pool_id)
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|
@ -195,7 +243,8 @@ def ssh_app(
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pool_id,
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app_id,
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username,
|
||||
password):
|
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password,
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ports = None):
|
||||
|
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"""
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SSH into head node of spark-app
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|
@ -210,6 +259,8 @@ def ssh_app(
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:type username: string
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:param password: The password to access the head node via ssh
|
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:type password: string
|
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:param ports: A list of ports to open tunnels to
|
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:type ports: [<int>]
|
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"""
|
||||
|
||||
# Get master node id from task
|
||||
|
|
@ -237,12 +288,90 @@ def ssh_app(
|
|||
master_node_port = remote_login_settings.remote_login_port
|
||||
|
||||
# build ssh tunnel command
|
||||
ssh_tunnel_command = "ssh -L 8080:localhost:8080 " + \
|
||||
username + "@" + str(master_node_ip) + " -p " + str(master_node_port)
|
||||
ssh_command = "ssh "
|
||||
for port in ports:
|
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ssh_command += "-L " + str(port) + ":localhost:" + str(port) + " "
|
||||
ssh_command += username + "@" + str(master_node_ip) + " -p " + str(master_node_port)
|
||||
|
||||
print('\nuse the following command to connect to your spark head node:')
|
||||
print()
|
||||
print('\t%s' % ssh_tunnel_command)
|
||||
print('\t%s' % ssh_command)
|
||||
print()
|
||||
|
||||
#TODO actually print
|
||||
def list_apps(
|
||||
batch_client,
|
||||
pool_id):
|
||||
"""
|
||||
List all spark apps for a given cluster
|
||||
|
||||
:param batch_client: the batch client to use
|
||||
:type batch_client: 'batchserviceclient.BatchServiceClient'
|
||||
:param pool_id: The id of the pool to submit app to
|
||||
:type pool_id: string
|
||||
"""
|
||||
apps = batch_client.task.list(job_id=pool_id)
|
||||
print(apps)
|
||||
|
||||
# TODO not working
|
||||
def jupyter(
|
||||
batch_client,
|
||||
pool_id,
|
||||
app_id,
|
||||
username,
|
||||
password):
|
||||
"""
|
||||
Install jupyter, create app_id and open ssh tunnel
|
||||
|
||||
:param batch_client: the batch client to use
|
||||
:type batch_client: 'batchserviceclient.BatchServiceClient'
|
||||
:param pool_id: The id of the pool to submit app to
|
||||
:type pool_id: string
|
||||
:param username: The username to access the head node via ssh
|
||||
:type username: string
|
||||
:param password: The password to access the head node via ssh
|
||||
:type password: string
|
||||
|
||||
"""
|
||||
|
||||
# create application/coordination commands
|
||||
coordination_cmd = connect_cmd()
|
||||
application_cmd = jupyter_cmd(_WEBUI_PORT, _JUPYTER_PORT)
|
||||
|
||||
# Get pool size
|
||||
pool = batch_client.pool.get(pool_id)
|
||||
pool_size = pool.target_dedicated
|
||||
|
||||
# Create multi-instance task
|
||||
task = batch_models.TaskAddParameter(
|
||||
id = app_id,
|
||||
command_line = util.wrap_commands_in_shell(application_cmd),
|
||||
resource_files = [],
|
||||
run_elevated = False,
|
||||
multi_instance_settings = batch_models.MultiInstanceSettings(
|
||||
number_of_instances = pool_size,
|
||||
coordination_command_line = util.wrap_commands_in_shell(coordination_cmd),
|
||||
common_resource_files = []))
|
||||
|
||||
# Add task to batch job (which has the same name as pool_id)
|
||||
job_id = pool_id
|
||||
batch_client.task.add(job_id = job_id, task = task)
|
||||
|
||||
# get job id (job id is the same as pool id)
|
||||
job_id = pool_id
|
||||
|
||||
# Wait for the app to finish
|
||||
util.wait_for_tasks_to_complete(
|
||||
batch_client,
|
||||
job_id,
|
||||
datetime.timedelta(minutes=60))
|
||||
|
||||
# print ssh command
|
||||
ssh_app(
|
||||
batch_client,
|
||||
pool_id,
|
||||
app_id,
|
||||
username,
|
||||
password,
|
||||
ports = [_JUPYTER_PORT, _WEBUI_PORT])
|
||||
|
||||
|
|
|
|||
4
setup.py
4
setup.py
|
|
@ -11,5 +11,7 @@ setup(name='redbull',
|
|||
scripts=['bin/spark-cluster-create',
|
||||
'bin/spark-cluster-delete',
|
||||
'bin/spark-app-submit',
|
||||
'bin/spark-app-ssh'],
|
||||
'bin/spark-app-ssh',
|
||||
'bin/spark-app-list',
|
||||
'bin/spark-app-jupyter'],
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||||
zip_safe=False)
|
||||
|
|
|
|||
Загрузка…
Ссылка в новой задаче