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run.py
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run.py
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"""
This module handles the configuration of the instances and the execution of the benchmark on the cluster
"""
import json
import multiprocessing
import time
from concurrent.futures import ThreadPoolExecutor
from ast import literal_eval
import log
from spark_log_profiling import processing
import metrics
import plot
import pickle
import os
import shutil
#from config import UPDATE_SPARK_DOCKER, DELETE_HDFS, SPARK_HOME, KILL_JAVA, SYNC_TIME, \
# KEY_PAIR_PATH, \
# UPDATE_SPARK, \
# DISABLE_HT, ENABLE_EXTERNAL_SHUFFLE, OFF_HEAP, OFF_HEAP_BYTES, K, T_SAMPLE, TI, CORE_QUANTUM, \
# CORE_MIN, CPU_PERIOD, HDFS, \
# CORE_VM, UPDATE_SPARK_MASTER, DEADLINE, MAX_EXECUTOR, ALPHA, BETA, OVER_SCALE, LOCALITY_WAIT, \
# LOCALITY_WAIT_NODE, CPU_TASK, \
# LOCALITY_WAIT_PROCESS, LOCALITY_WAIT_RACK, INPUT_RECORD, NUM_TASK, BENCH_NUM_TRIALS, \
# SCALE_FACTOR, RAM_EXEC, \
# RAM_DRIVER, BENCHMARK_PERF, BENCH_LINES, HDFS_MASTER, DATA_AMI, REGION, HADOOP_CONF, \
# CONFIG_DICT, HADOOP_HOME,\
# SPARK_2_HOME, BENCHMARK_BENCH, BENCH_CONF, LOG_LEVEL, CORE_ALLOCATION, DEADLINE_ALLOCATION,\
# UPDATE_SPARK_BENCH, UPDATE_SPARK_PERF, SPARK_PERF_FOLDER, NUM_INSTANCE, STAGE_ALLOCATION, HEURISTIC, VAR_PAR_MAP, \
# PROCESS_ON_SERVER, INSTALL_PYTHON3, AZ_PUB_KEY_PATH, RUN, PREV_SCALE_FACTOR
#from config import PRIVATE_KEY_PATH, PRIVATE_KEY_NAME, TEMPORARY_STORAGE, PROVIDER, INSTANCE_TYPE, PRICE
#import config as c
#from configure import config_instance
from configure import config_instance as c
from util.utils import timing, between, get_cfg, write_cfg, open_cfg, make_sure_path_exists
from util.ssh_client import sshclient_from_node, sshclient_from_ip
from pathlib import Path
import socket #vboxvm
import pprint
pp = pprint.PrettyPrinter(indent=4)
# Modifiche fatte
# - uso di PRIVATE_KEY_PATH anzichè KEY_PAIR_PATH
# - uso di PRIVATE_KEY_NAME anzichè DATA_AMI[REGION]["keypair"]+".pem"
# - uso di TEMPORARY_STORAGE anzichè "/dev/xvdb"
# - uso di ssh_sshclient_from_node per ottenere un client ssh basato su ParamikoSSHClient
# - uso di ip privati in azure, altrimenti fallisce il binding sulle porte di hadoop
def get_ip(node):
if c.PROVIDER == "AWS_SPOT":
return node.extra['dns_name']
if c.PROVIDER == "AZURE":
return node.private_ips[0]
def common_setup(ssh_client):
"""
Common setup of the instance of the cluster with ssh_client is connected
:param ssh_client: the ssh client to launch command on the instance
:return: nothing
"""
with open_cfg() as cfg:
delete_hdfs = cfg.getboolean('main', 'delete_hdfs')
# preliminary steps required due to differences between azure and aws
if c.PROVIDER == "AZURE":
# todo only if first run
if c.NUM_INSTANCE > 0:
print("In common_setup, NUM_INSTANCE=" + str(c.NUM_INSTANCE))
# add ssh key that matches the public one used during creation
if not "id_rsa" in ssh_client.listdir("/home/ubuntu/.ssh/"):
ssh_client.put(localpath=c.PRIVATE_KEY_PATH, remotepath="/home/ubuntu/.ssh/id_rsa")
ssh_client.run("chmod 400 /home/ubuntu/.ssh/id_rsa")
# ssh_client.run("sudo groupadd supergroup")
ssh_client.run("sudo usermod -aG supergroup $USER")
ssh_client.run("sudo usermod -aG supergroup root")
# join docker group
ssh_client.run("sudo usermod -aG docker $USER")
# ssh_client.run("mkdir /usr/local/spark/spark-events")
# ssh_client.run("sudo chmod -R 777 /mnt")
# to refresh groups
ssh_client.close()
ssh_client.connect()
# restore environmental variables lost when creating the image
ssh_client.run("echo 'export JAVA_HOME=/usr/lib/jvm/java-8-oracle' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_INSTALL=/usr/local/lib/hadoop-2.7.2' >> $HOME/.bashrc")
ssh_client.run("echo 'export PATH=$PATH:$HADOOP_INSTALL/bin' >> $HOME/.bashrc")
ssh_client.run("echo 'export PATH=$PATH:$HADOOP_INSTALL/sbin' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_MAPRED_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_COMMON_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_HDFS_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export YARN_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_INSTALL/lib/native/' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_OPTS=\"-Djava.library.path=$HADOOP_INSTALL/lib/native\"' >> $HOME/.bashrc")
ssh_client.run(
"echo 'export LD_LIBRARY_PATH=$HADOOP_INSTALL/lib/native:$LD_LIBRARY_PATH' >> $HOME/.bashrc") # to fix "unable to load native hadoop lib" in spark
ssh_client.run("source $HOME/.bashrc")
# # PageRank
# ssh_client.run("rm /usr/local/spark/conf/Spark_PageRank_Application.json")
# ssh_client.put(localpath="C:\\workspace\\spark-log-profiling\\output_json\\Spark_PageRank_Application_20170523133037.json",
# remotepath="/usr/local/spark/conf/Spark_PageRank_Application.json")
#
#
# # DecisionTree
# ssh_client.run("rm /usr/local/spark/conf/DecisionTree_classification_Example.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\DecisionTree_classification_Example_20170523134646.json",
# remotepath="/usr/local/spark/conf/DecisionTree_classification_Example.json")
#
# # Kmeans
# ssh_client.run("rm /usr/local/spark/conf/Spark_KMeans_Example.json")
# ssh_client.put(localpath="C:\\workspace\\spark-log-profiling\\output_json\\Spark_KMeans_Example_20170509081738.json",
# remotepath="/usr/local/spark/conf/Spark_KMeans_Example.json")
#
# # SVM
# ssh_client.run("rm /usr/local/spark/conf/SVM_Classifier_Example.json")
# ssh_client.put(localpath="C:\\workspace\\spark-log-profiling\\output_json\\SVM_Classifier_Example_20170509105715.json",
# remotepath="/usr/local/spark/conf/SVM_Classifier_Example.json")
#
# # Agg by key
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__aggregate-by-key.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__aggregate-by-key_20170511110351.json",
# remotepath="/usr/local/spark/conf/TestRunner__aggregate-by-key.json")
#
# # Agg by key int
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__aggregate-by-key-int.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__aggregate-by-key-int_20170511112110.json",
# remotepath="/usr/local/spark/conf/TestRunner__aggregate-by-key-int.json")
#
# # Agg by key naive
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__aggregate-by-key-naive.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__aggregate-by-key-naive_20170511114259.json",
# remotepath="/usr/local/spark/conf/TestRunner__aggregate-by-key-naive.json")
#
# # Sort by key
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__sort-by-key.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__sort-by-key_20170511131321.json",
# remotepath="/usr/local/spark/conf/TestRunner__sort-by-key.json")
#
# # Sort by key int
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__sort-by-key-int.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__sort-by-key-int_20170511133334.json",
# remotepath="/usr/local/spark/conf/TestRunner__sort-by-key-int.json")
#
# # Count
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__count.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__count_20170511135036.json",
# remotepath="/usr/local/spark/conf/TestRunner__count.json")
#
# # Count with filtr
# ssh_client.run("rm /usr/local/spark/conf/TestRunner__count-with-filter.json")
# ssh_client.put(
# localpath="C:\\workspace\\spark-log-profiling\\output_json\\TestRunner__count-with-filter_20170511140627.json",
# remotepath="/usr/local/spark/conf/TestRunner__count-with-filter.json")
if c.PROVIDER == "AWS_SPOT":
ssh_client.run("echo 'export JAVA_HOME=/usr/lib/jvm/java-8-oracle' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_INSTALL=/usr/local/lib/hadoop-2.7.2' >> $HOME/.bashrc")
ssh_client.run("echo 'export PATH=$PATH:$HADOOP_INSTALL/bin' >> $HOME/.bashrc")
ssh_client.run("echo 'export PATH=$PATH:$HADOOP_INSTALL/sbin' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_MAPRED_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_COMMON_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_HDFS_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export YARN_HOME=$HADOOP_INSTALL' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_INSTALL/lib/native' >> $HOME/.bashrc")
ssh_client.run("echo 'export HADOOP_OPTS=\"-Djava.library.path=$HADOOP_INSTALL/lib/native\"' >> $HOME/.bashrc")
ssh_client.run(
"echo 'export LD_LIBRARY_PATH=$HADOOP_INSTALL/lib/native:$LD_LIBRARY_PATH' >> $HOME/.bashrc") # to fix "unable to load native hadoop lib" in spark
ssh_client.run("source $HOME/.bashrc")
ssh_client.run("export GOMAXPROCS=`nproc`")
if c.UPDATE_SPARK_DOCKER:
print(" Updating Spark Docker Image...")
ssh_client.run("docker pull elfolink/spark:2.0")
if delete_hdfs:
ssh_client.run("sudo umount /mnt")
ssh_client.run(
"sudo mkfs.ext4 -E nodiscard " + c.TEMPORARY_STORAGE + " && sudo mount -o discard " + c.TEMPORARY_STORAGE + " /mnt")
ssh_client.run("test -d /mnt/tmp || sudo mkdir -m 1777 /mnt/tmp")
ssh_client.run("sudo mount --bind /mnt/tmp /tmp")
ssh_client.run('ssh-keygen -f "/home/ubuntu/.ssh/known_hosts" -R localhost')
print(" Stop Spark Slave/Master")
# ssh_client.run('export SPARK_HOME="{s}" && {s}sbin/stop-slave.sh'.format(s=c.SPARK_HOME))
ssh_client.run('export SPARK_HOME="{s}" && {s}sbin/stop-master.sh'.format(s=c.SPARK_HOME))
ssh_client.run('export SPARK_HOME="{s}" && sudo {s}sbin/stop-slave.sh'.format(s=c.SPARK_HOME))
print(" Set Log Level")
ssh_client.run(
"sed -i '19s/.*/log4j.rootCategory={}, console /' {}conf/log4j.properties".format(c.LOG_LEVEL,
c.SPARK_HOME))
if c.KILL_JAVA:
print(" Killing Java")
ssh_client.run('sudo killall java && sudo killall java && sudo killall java')
print(" Kill SAR CPU Logger")
ssh_client.run("screen -ls | grep Detached | cut -d. -f1 | awk '{print $1}' | xargs -r kill")
if c.SYNC_TIME:
print(" SYNC TIME")
ssh_client.run("sudo ntpdate -s time.nist.gov")
print(" Removing Stopped Docker")
ssh_client.run("docker ps -a | awk '{print $1}' | xargs --no-run-if-empty docker rm")
@timing
def setup_slave(node, master_ip, count):
"""
:param node:
:param master_ip:
:return:
"""
cfg = get_cfg()
current_cluster = cfg['main']['current_cluster']
ssh_client = sshclient_from_node(node, ssh_key_file=c.PRIVATE_KEY_PATH, user_name='ubuntu')
print("Setup Slave: PublicIp=" + node.public_ips[0] + " PrivateIp=" + node.private_ips[0])
slave_ip = get_ip(node)
#cfg[current_cluster]['slave'+count+'_ip'] = slave_ip
#write_cfg(cfg)
common_setup(ssh_client)
if c.UPDATE_SPARK:
print(" Updating Spark...")
stdout, stderr, status = ssh_client.run(
"""cd /usr/local/spark && git pull && git checkout """ + c.GIT_BRANCH)
print(stdout + stderr)
# CLEAN UP EXECUTORS APP LOGS
ssh_client.run("sudo rm -r " + c.SPARK_HOME + "work/*")
ssh_client.run(
"""cd /usr/local/spark && git pull && build/mvn clean && build/mvn -T 1C -Phive -Pnetlib-lgpl -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.2 -Dscala-2.11 -DskipTests -Dmaven.test.skip=true package""")
'''
ssh_client.run(
"""cd /usr/local/spark && git pull && build/mvn clean && build/mvn -T 1C -Phive -Pnetlib-lgpl -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.2 -Dscala-2.11 -DskipTests -Dmaven.test.skip=true package""")
'''
# CLEAN UP EXECUTORS APP LOGS
# ssh_client.run("rm -r " + c.SPARK_HOME + "work/*")
ssh_client.run("sudo rm -r " + c.SPARK_HOME + "work/*")
if c.DISABLE_HT:
# DISABLE HT
ssh_client.put(localpath="./disable-ht-v2.sh", remotepath="$HOME/disable-ht-v2.sh")
ssh_client.run("chmod +x $HOME/disable-ht-v2.sh")
stdout, stderr, status = ssh_client.run('sudo $HOME/disable-ht-v2.sh')
print(" Disabled HyperThreading {}".format(status))
if current_cluster == 'spark':
# check that line numbers to be substituted are present in file spark-defaults.conf and if not, add 11 empty comment lines
stdout, stderr, status = ssh_client.run(
"if [ $(wc -l /usr/local/spark/conf/spark-defaults.conf | awk '{ print $1 }') -lt 60 ]; \
then echo -e '#\n#\n#\n#\n#\n#\n#\n#\n#\n#\n#\n' >> /usr/local/spark/conf/spark-defaults.conf; fi")
# Modificato questo
stdout, stderr, status = ssh_client.run(
"sed -i '31s/.*/spark.shuffle.service.enabled {0}/' {1}conf/spark-defaults.conf".format(
c.ENABLE_EXTERNAL_SHUFFLE, c.SPARK_HOME))
print("setup_slave, spark-defaults.conf 31: " + stdout + stderr)
# ssh_client.run('echo "spark.local.dir /mnt/hdfs" >> '+ c.SPARK_HOME + 'conf/spark-defaults.conf')
stdout, stderr, status = ssh_client.run(
"sed -i '32s/.*/spark.memory.offHeap.enabled {0}/' {1}conf/spark-defaults.conf".format(
c.OFF_HEAP, c.SPARK_HOME))
print("setup_slave, spark-defaults.conf 32: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '33s/.*/spark.memory.offHeap.size {0}/' {1}conf/spark-defaults.conf".format(
c.OFF_HEAP_BYTES, c.SPARK_HOME))
print("setup_slave, spark-defaults.conf 33: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '42s/.*/spark.control.k {0}/' {1}conf/spark-defaults.conf".format(
c.K , c.SPARK_HOME))
print("setup_slave, spark-defaults.conf 42: " + stdout + stderr)
# SAMPLING RATE LINE 43
stdout, stderr, status = ssh_client.run("sed -i '43s/.*/spark.control.tsample {0}/' {1}conf/spark-defaults.conf".format(
c.T_SAMPLE, c.SPARK_HOME))
print("setup_slave, spark-defaults.conf 43: " + stdout + stderr)
try:
stdout, stderr, status = ssh_client.run("sed -i '44s/.*/spark.control.ti {0}/' {1}conf/spark-defaults.conf".format(
c.TI, c.SPARK_HOME))
print("setup_slave, spark-defaults.conf 44: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '45s{.*{spark.control.corequantum " + str(
c.CORE_QUANTUM) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_slave, spark-defaults.conf 45: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '50s{.*{spark.control.coremin " + str(
c.CORE_MIN) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_slave, spark-defaults.conf 50 c.CORE_MIN: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '41s{.*{spark.control.cpuperiod " + str(
c.CPU_PERIOD) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_slave, spark-defaults.conf 41: ", stdout + stderr)
except Exception as exc:
print("ERROREEE", exc)
if current_cluster == 'spark':
print(" Starting Spark Slave")
ssh_client.run(
# 'export SPARK_HOME="{s}" && {s}sbin/start-slave.sh {0}:7077 -h {1} --port 9999 -c {2}'.format(
'export SPARK_HOME="{s}" && sudo {s}sbin/start-slave.sh {0}:7077 -h {1} --port 9999 -c {2}'.format(
master_ip, slave_ip, c.CORE_VM, s=c.SPARK_HOME))
# REAL CPU LOG
log_cpu_command = 'screen -d -m -S "{0}" bash -c "sar -u 1 > sar-{1}.log"'.format(
slave_ip, slave_ip)
print(" Start SAR CPU Logging")
ssh_client.run(log_cpu_command)
@timing
def setup_master(node, slaves_ip, hdfs_master):
"""
:param node:
:return:
"""
ssh_client = sshclient_from_node(node, ssh_key_file=c.PRIVATE_KEY_PATH, user_name='ubuntu') #vboxvm_removed
#master_public_ip = socket.gethostbyname("XSPARKWORK0") #vboxvm
#ssh_client = sshclient_from_ip(master_public_ip, c.PRIVATE_KEY_PATH, user_name='ubuntu') #vboxvm
stdout, stderr, status = ssh_client.run("hostname && pwd") #vboxvm
print(stdout) #vboxvm
with open_cfg(mode='w') as cfg:
current_cluster = cfg['main']['current_cluster']
benchmark = c.CONFIG_DICT['Benchmark']['Name']
#benchmark = cfg['main']['benchmark'] if 'main' in cfg and 'benchmark' in cfg['main'] else \
# cfg['experiment']['benchmarkname'] if 'experiment' in cfg and 'benchmarkname' in cfg['experiment'] else ''
cfg[current_cluster] = {}
# TODO check if needed
# input_record = cfg['pagerank']['num_v'] if 'pagerank' in cfg and 'num_v' in cfg['pagerank'] else c.INPUT_RECORD
# print("input_record: {}".format(input_record))
print("Setup Master: BENCH_CONF=" + str(c.BENCH_CONF[benchmark]))
#master_private_ip = master_public_ip #vboxvm
#print("Setup Master: PublicIp=" + master_public_ip + " PrivateIp=" + master_private_ip) #vboxvm
print("Setup Master: PublicIp=" + node.public_ips[0] + " PrivateIp=" + node.private_ips[0]) #vboxvm_removed
master_private_ip = get_ip(node) #vboxvm_removed
master_public_ip = node.public_ips[0] #vboxvm_removed
# save private master_ip to cfg file
print('saving master ip')
cfg[current_cluster]['master_private_ip'] = master_private_ip
cfg[current_cluster]['master_public_ip'] = master_public_ip
common_setup(ssh_client) #vboxvm_removed
# update spark-bench and spark-perf
ssh_client.run("sudo mv /usr/local/spark-perf/ /home/ubuntu/")
ssh_client.run("sudo mv /usr/local/spark-bench/ /home/ubuntu/")
ssh_client.run("sudo mv /usr/local/wikixmlj/ /home/ubuntu/")
files = ssh_client.listdir("/home/ubuntu/")
# download or update
if c.UPDATE_SPARK_PERF:
if "wikixmlj" in files:
ssh_client.run("""cd $HOME/wikixmlj && git status | grep "up-to-date" || eval `git pull && mvn package install`""")
ssh_client.run("cd $HOME")
else:
ssh_client.run("git clone https://github.com/synhershko/wikixmlj.git wikixmlj")
ssh_client.run(
"cd $HOME/wikixmlj && mvn package install -Dmaven.test.skip=true && cd $HOME") # install wikixmlj
if "spark-perf" in files:
ssh_client.run("""cd $HOME/spark-perf && git status | grep "up-to-date" || eval `git pull && cp $HOME/spark-perf/config/config.py.template $HOME/spark-perf/config/config.py`""")
ssh_client.run("cd $HOME")
else:
ssh_client.run("git clone https://github.com/databricks/spark-perf.git spark-perf")
ssh_client.run(
"cp $HOME/spark-perf/config/config.py.template $HOME/spark-perf/config/config.py")
elif c.SKEW_TEST:
print("Removing default sparf-perf")
stdout, stderr, status = ssh_client.run("sudo rm -r ./spark-perf")
print(stdout, stderr)
print("Cloning master branch from https://github.com/gioenn/spark-perf.git")
stdout, stderr, status = ssh_client.run("git clone -b master --single-branch https://github.com/gioenn/spark-perf.git")
#print("Cloning master branch from https://github.com/DavideB/spark-perf.git")
#stdout, stderr, status = ssh_client.run("git clone -b master --single-branch https://github.com/DavideB/spark-perf.git")
#stdout, stderr, status = ssh_client.run("git clone -b log_skew --single-branch https://github.com/DavideB/spark-perf.git")
print(stdout, stderr)
'''
stdout, stderr, status = ssh_client.run(
"cp $HOME/spark-perf/config/config.py.template $HOME/spark-perf/config/config.py")
print(stdout, stderr)
stdout, stderr, status = ssh_client.run(
"cd $HOME/spark-perf/config && sed -i '134,137d' config.py")
print(stdout, stderr)
'''
if c.UPDATE_SPARK_BENCH:
if "spark-bench" in files:
ssh_client.run("""cd $HOME/spark-bench && git status | grep "up-to-date" || eval `git pull && sed -i '7s{.*{mvn package -P spark2.0{' $HOME/spark-bench/bin/build-all.sh && $HOME/spark-bench/bin/build-all.sh && cp $HOME/spark-bench/conf/env.sh.template $HOME/spark-bench/conf/env.sh`""")
ssh_client.run("cd $HOME")
else:
ssh_client.run("git clone https://github.com/gioenn/spark-bench.git spark-bench")
ssh_client.run("$HOME/spark-bench/bin/build-all.sh") # build spark-bench
ssh_client.run("cp $HOME/spark-bench/conf/env.sh.template $HOME/spark-bench/conf/env.sh") # copy spark-bench config
# ssh_client.run("cd $HOME/wikixmlj && mvn package install -Dmaven.test.skip=true && cd $HOME") # install wikixmlj
# ssh_client.run("sed -i '7s{.*{mvn package -P spark2.0{' $HOME/spark-bench/bin/build-all.sh")
# ssh_client.run("$HOME/spark-bench/bin/build-all.sh") # build spark-bench
# ssh_client.run("cp $HOME/spark-bench/conf/env.sh.template $HOME/spark-bench/conf/env.sh") # copy spark-bench config
# ssh_client.run(
# "cp $HOME/spark-perf/config/config.py.template $HOME/spark-perf/config/config.py") # copy spark-perf config
# copia chiave privata
if not c.PRIVATE_KEY_NAME in files:
ssh_client.put(localpath=c.PRIVATE_KEY_PATH, remotepath="/home/ubuntu/" + c.PRIVATE_KEY_NAME)
ssh_client.run("chmod 400 " + "$HOME/" + c.PRIVATE_KEY_NAME)
if c.UPDATE_SPARK_MASTER:
print(" Updating Spark...")
stdout, stderr, status = ssh_client.run(
"""cd /usr/local/spark && git pull && git checkout """ + c.GIT_BRANCH)
print(stdout + stderr)
ssh_client.run(
"""cd /usr/local/spark && git pull && build/mvn clean && build/mvn -T 1C -Phive -Pnetlib-lgpl -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.2 -Dscala-2.11 -DskipTests -Dmaven.test.skip=true package""")
'''
ssh_client.run(
"""cd /usr/local/spark && git pull && build/mvn clean && build/mvn -T 1C -Phive -Pnetlib-lgpl -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.2 -Dscala-2.11 -DskipTests -Dmaven.test.skip=true package""")
'''
print(" Remove Logs")
# ssh_client.run("rm " + c.SPARK_HOME + "spark-events/*")
ssh_client.run("sudo rm " + c.SPARK_HOME + "spark-events/*")
# TODO Check number of lines in spark-defaults.conf
# check that line numbers to be substituted are present in file spark-defaults.conf and if not, add 11 empty comment lines
stdout, stderr, status = ssh_client.run(
"if [ $(wc -l /usr/local/spark/conf/spark-defaults.conf | awk '{ print $1 }') -le 60 ]; \
then echo -e '#\n#\n#\n#\n#\n#\n#\n#\n#\n#\n#\n' >> /usr/local/spark/conf/spark-defaults.conf; fi")
# SHUFFLE SERVICE EXTERNAL
stdout, stderr, status = ssh_client.run(
"sed -i '31s/.*/spark.shuffle.service.enabled {0}/' {1}conf/spark-defaults.conf".format(
c.ENABLE_EXTERNAL_SHUFFLE, c.SPARK_HOME))
print("setup_master, spark-defaults.conf 31: " + stdout + stderr)
if current_cluster == 'spark':
'''
#if benchmark == 'sort_by_key':
if benchmark == 'scala-sort-by-key':
c.BENCH_CONF['scala-sort-by-key']['ScaleFactor'] = literal_eval(cfg['sort_by_key']['scale_factor'])[1]
print('setting ScaleFactor as {}'.format(c.BENCH_CONF['scala-sort-by-key']['ScaleFactor']))
c.BENCH_CONF['scala-sort-by-key']['num-partitions'] = cfg['sort_by_key']['num_partitions']
print('setting num-partitions as {}'.format(c.BENCH_CONF['scala-sort-by-key']['num-partitions']))
c.SCALE_FACTOR = c.BENCH_CONF[c.BENCHMARK_PERF[0]]["ScaleFactor"]
c.INPUT_RECORD = 200 * 1000 * 1000 * c.SCALE_FACTOR
c.NUM_TASK = c.SCALE_FACTOR
'''
# OFF HEAP
stdout, stderr, status = ssh_client.run(
"sed -i '32s{.*{spark.memory.offHeap.enabled " + str(
c.OFF_HEAP) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 32: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '33s{.*{spark.memory.offHeap.size " + str(
c.OFF_HEAP_BYTES) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 33: " + stdout + stderr)
print(" Changing Benchmark settings")
# DEADLINE LINE 35
stdout, stderr, status = ssh_client.run("sed -i '35s{.*{spark.control.deadline " + str(
c.DEADLINE) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 35: " + stdout + stderr)
#print("MAX_EXECUTOR in setup_master: " + str(c.MAX_EXECUTOR))
# MAX EXECUTOR LINE 39
stdout, stderr, status = ssh_client.run("sed -i '39s{.*{spark.control.maxexecutor " + str(
c.MAX_EXECUTOR) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 39: " + stdout + stderr)
# CORE FOR VM LINE 40
stdout, stderr, status = ssh_client.run("sed -i '40s{.*{spark.control.coreforvm " + str(
c.CORE_VM) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 40: " + stdout + stderr)
# ALPHA LINE 36
stdout, stderr, status = ssh_client.run("sed -i '36s{.*{spark.control.alpha " + str(
c.ALPHA) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 40: " + stdout + stderr)
# BETA line 37
stdout, stderr, status = ssh_client.run("sed -i '37s{.*{spark.control.beta " + str(
c.BETA) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 37: " + stdout + stderr)
# OVERSCALE LINE 38
stdout, stderr, status = ssh_client.run("sed -i '38s{.*{spark.control.overscale " + str(
c.OVER_SCALE) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 38: " + stdout + stderr)
# HEURISTIC TYPE LINE 56
stdout, stderr, status = ssh_client.run("sed -i '56s{.*{spark.control.heuristic " + str(
c.HEURISTIC.value) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 56 c.SPARK_HOME str(c.HEURISTIC.value): " + c.SPARK_HOME + str(c.HEURISTIC.value) + stdout + stderr)
# CORE_ALLOCATION
if c.CORE_ALLOCATION != None and c.DEADLINE_ALLOCATION != None and c.STAGE_ALLOCATION != None:
stdout, stderr, status = ssh_client.run("sed -i '57s{.*{spark.control.stage " + str(c.STAGE_ALLOCATION) + "{' "+c.SPARK_HOME+"conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 56 str(c.STAGE_ALLOCATION): " + str(c.STAGE_ALLOCATION) + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '58s{.*{spark.control.stagecores "+ str(c.CORE_ALLOCATION) +"{' "+c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 58 str(c.CORE_ALLOCATION): " + str(c.CORE_ALLOCATION) + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '59s{.*{spark.control.stagedeadlines " + str(
c.DEADLINE_ALLOCATION) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 59 str(c.DEADLINE_ALLOCATION): " + str(c.DEADLINE_ALLOCATION) + stdout + stderr)
else:
stdout, stderr, status = ssh_client.run("sed -i '57s{.*{#stage{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 57 c.SPARK_HOME: " + c.SPARK_HOME + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '58s{.*{#stagecores{' "+c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 58 c.SPARK_HOME: " + c.SPARK_HOME + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '59s{.*{#stagedeadlines{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 59 c.SPARK_HOME: " + c.SPARK_HOME + stdout + stderr)
# CHANGE ALSO IN MASTER FOR THE LOGS
stdout, stderr, status = ssh_client.run(
"sed -i '43s{.*{spark.control.tsample " + str(
c.T_SAMPLE) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 43: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '42s{.*{spark.control.k " + str(
c.K ) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 42: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '44s{.*{spark.control.ti " + str(
c.TI) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 44: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '45s{.*{spark.control.corequantum " + str(
c.CORE_QUANTUM) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 45: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '46s{.*{spark.locality.wait " + str(
c.LOCALITY_WAIT) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 46: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '51s{.*{spark.locality.wait.node " + str(
c.LOCALITY_WAIT_NODE) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 51 str(c.LOCALITY_WAIT_NODE): " + str(c.LOCALITY_WAIT_NODE) + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '52s{.*{spark.locality.wait.process " + str(
c.LOCALITY_WAIT_PROCESS) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 52: str(c.LOCALITY_WAIT_PROCESS)" + str(c.LOCALITY_WAIT_PROCESS) + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '53s{.*{spark.locality.wait.rack " + str(
c.LOCALITY_WAIT_RACK) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 53: str(c.LOCALITY_WAIT_RACK)" + str(c.LOCALITY_WAIT_RACK) + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '47s{.*{spark.task.cpus " + str(
c.CPU_TASK) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 47: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '48s{.*{spark.control.nominalrate 0.0{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 48: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '49s{.*{spark.control.nominalratedata 0.0{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 49: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("sed -i '50s{.*{spark.control.coremin " + str(
c.CORE_MIN) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 50: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '54s{.*{spark.control.inputrecord " + str(
c.INPUT_RECORD) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 54: " + stdout + stderr)
stdout, stderr, status = ssh_client.run(
"sed -i '55s{.*{spark.control.numtask " + str(
c.NUM_TASK) + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
print("setup_master, spark-defaults.conf 55: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("""sed -i '3s{.*{master=""" + master_private_ip +
"""{' ./spark-bench/conf/env.sh""")
print("setup_master, ./spark-bench/conf/env.sh 3: " + stdout + stderr)
stdout, stderr, status = ssh_client.run("""sed -i '63s{.*{NUM_TRIALS=""" + str(c.BENCH_NUM_TRIALS) +
"""{' ./spark-bench/conf/env.sh""")
print("setup_master, ./spark-bench/conf/env.sh 63: " + stdout + stderr)
# CHANGE SPARK HOME DIR
stdout, stderr, status = ssh_client.run("sed -i '21s{.*{SPARK_HOME_DIR = \"" + c.SPARK_HOME + "\"{' ./spark-perf/config/config.py")
#print("setup_master, ./spark-perf/config/config.py 21: " + stdout + stderr)
# CHANGE MASTER ADDRESS IN BENCHMARK
stdout, stderr, status = ssh_client.run("""sed -i '30s{.*{SPARK_CLUSTER_URL = "spark://""" + master_private_ip +
""":7077"{' ./spark-perf/config/config.py""")
#print("setup_master, ./spark-perf/config/config.py 30: " + stdout + stderr)
# CHANGE SCALE FACTOR LINE 127
stdout, stderr, status = ssh_client.run(
"sed -i '127s{.*{SCALE_FACTOR = " + str(c.SCALE_FACTOR) + "{' ./spark-perf/config/config.py")
# CHANGE IGNORE_TRIALS LINE 134
stdout, stderr, status = ssh_client.run(
"sed -i '134s{.*{IGNORED_TRIALS = " + str(c.IGNORED_TRIALS) + "{' ./spark-perf/config/config.py")
# NO PROMPT
stdout, stderr, status = ssh_client.run("sed -i '103s{.*{PROMPT_FOR_DELETES = False{' ./spark-perf/config/config.py")
if len(c.BENCHMARK_PERF) > 0: # and c.SPARK_PERF_FOLDER == "spark-perf-gioenn":
if c.SKEW_TEST:
print(" Setting up skewed test")
ssh_client.run("""sed -i '169s{.*{ OptionSet("skew", [""" + str(
c.BENCH_CONF[c.BENCHMARK_PERF[0]]["skew"]) + """]),{' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
else:
# Restore "no-skew test" line content
ssh_client.run("""sed -i '169s{.*{# The number of input partitions.{' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
# ssh_client.run("""sed -i '164s{.*{OptionSet("skew", [""" + str(
# c.BENCH_CONF[c.BENCHMARK_PERF[0]]["skew"]) + """]){' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
print(" Setting up num_trials")
ssh_client.run("""sed -i '160s{.*{ OptionSet("num-trials", [1]),{' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
print(" Setting up unique-keys, num-partitions and reduce-tasks")
ssh_client.run("""sed -i '185s{.*{OptionSet("unique-keys",[""" + str(c.BENCH_CONF[c.BENCHMARK_PERF[0]][
"unique-keys"]) + """], False),{' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
ssh_client.run("""sed -i '170s{.*{OptionSet("num-partitions", [""" + str(c.BENCH_CONF[c.BENCHMARK_PERF[0]][
"num-partitions"]) + """], can_scale=False),{' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
ssh_client.run("""sed -i '172s{.*{OptionSet("reduce-tasks", [""" + str(c.BENCH_CONF[c.BENCHMARK_PERF[0]][
"reduce-tasks"]) + """], can_scale=False),{' ./""" + c.SPARK_PERF_FOLDER + "/config/config.py")
# CHANGE RAM EXEC
stdout, stderr, status = ssh_client.run(
"""sed -i '146s{.*{ JavaOptionSet("spark.executor.memory", [""" + c.RAM_EXEC + """]),{' ./spark-perf/config/config.py""")
stdout, stderr, status = ssh_client.run(
"""sed -i '55s{.*{SPARK_EXECUTOR_MEMORY=""" + c.RAM_EXEC + """{' ./spark-bench/conf/env.sh""")
# CHANGE RAM DRIVER
stdout, stderr, status = ssh_client.run(
"sed -i '26s{.*{spark.driver.memory " + c.RAM_DRIVER + "{' " + c.SPARK_HOME + "conf/spark-defaults.conf")
stdout, stderr, status = ssh_client.run(
"sed -i '154s{.*{SPARK_DRIVER_MEMORY = \""+c.RAM_DRIVER+"\"{' ./spark-perf/config/config.py")
print(" Enabling/Disabling Benchmark")
# ENABLE BENCHMARK
for bench in c.BENCHMARK_PERF:
for line_number in c.BENCH_LINES[bench]:
sed_command_line = "sed -i '" + line_number + " s/[#]//g' ./spark-perf/config/config.py"
ssh_client.run(sed_command_line)
# DISABLE BENCHMARK
for bench in c.BENCH_LINES:
if bench not in c.BENCHMARK_PERF:
for line_number in c.BENCH_LINES[bench]:
ssh_client.run("sed -i '" + line_number + " s/^/#/' ./spark-perf/config/config.py")
# ENABLE HDFS
# if c.HDFS:
print(" Enabling HDFS in benchmarks")
stdout, stderr, status = ssh_client.run("sed -i '179s%memory%hdfs%g' ./spark-perf/config/config.py")
#if hdfs_master != "":
stdout, stderr, status = ssh_client.run(
"""sed -i '50s%.*%HDFS_URL = "hdfs://{0}:9000/test/"%' ./spark-perf/config/config.py""".format(
hdfs_master))
stdout, stderr, status = ssh_client.run(
"""sed -i '10s%.*%HDFS_URL="hdfs://{0}:9000"%' ./spark-bench/conf/env.sh""".format(
hdfs_master))
stdout, stderr, status = ssh_client.run(
"""sed -i '14s%.*%DATA_HDFS="hdfs://{0}:9000/SparkBench"%' ./spark-bench/conf/env.sh""".format(
hdfs_master))
# TODO: additional settings for spark-bench
# ssh_client.run("""sed -i '8s/.*//' ./spark-bench/conf/env.sh""")
stdout, stderr, status = ssh_client.run("""sed -i '8s{.*{[ -z "$HADOOP_HOME" ] \&\& export HADOOP_HOME="""+c.HADOOP_HOME+"""{' ./spark-bench/conf/env.sh""")
# slaves = slaves_ip[0]
# for slave in slaves_ip[1:]:
# slaves = slaves + ", " + slave
stdout, stderr, status = ssh_client.run(
"""sed -i '5s%.*%MC_LIST=()%' ./spark-bench/conf/env.sh""")
stdout, stderr, status = ssh_client.run(
"""sed -i '19s%.*%SPARK_VERSION=2.0%' ./spark-bench/conf/env.sh""")
# ssh_client.run("""sed -i '20s/.*//' ./spark-bench/conf/env.sh""")
stdout, stderr, status = ssh_client.run("""sed -i '20s{.*{[ -z "$SPARK_HOME" ] \&\& export SPARK_HOME="""+c.SPARK_HOME+"""{' ./spark-bench/conf/env.sh""")
# START MASTER and HISTORY SERVER
if current_cluster == 'spark':
print(" Starting Spark Master")
ssh_client.run(
'export SPARK_HOME="{d}" && {d}sbin/start-master.sh -h {0}'.format(
master_private_ip, d=c.SPARK_HOME))
print(" Starting Spark History Server")
ssh_client.run(
'export SPARK_HOME="{d}" && {d}sbin/start-history-server.sh'.format(d=c.SPARK_HOME))
# SETUP CSPARKWORK MASTER FOR PROCESSING LOGS ON SERVER
# To be changed: generalize private and public key paths references (currently the Azure ones)
with open_cfg() as cfg:
tool_on_master = cfg.getboolean('main', 'tool_on_master')
if current_cluster == 'spark' and c.PROCESS_ON_SERVER: #vboxvm
if not tool_on_master:
if c.INSTALL_PYTHON3 == 1:
stdout, stderr, status = ssh_client.run("sudo apt-get update && sudo apt-get install -y python3-pip && " +
"sudo apt-get build-dep -y matplotlib && "+
"sudo apt-get install -y build-essential libssl-dev libffi-dev python-dev python3-dev && "+
#"sudo apt-get install pkg-config" + #vboxvm? (double-check)
#"sudo apt-get install libfreetype6-dev" + #vboxvm? (double-check)
"sudo pip3 install --upgrade setuptools")
"""Install python3 on cSpark master"""
print("Installing Python3 on cspark master:\n" + stdout)
stdout, stderr, status = ssh_client.run("sudo rm -r /home/ubuntu/xSpark-bench")
#stdout, stderr, status = ssh_client.run("git clone -b exp-2018 --single-branch " +
# "https://github.com/DavideB/xSpark-bench.git /home/ubuntu/xSpark-bench")
stdout, stderr, status = ssh_client.run("git clone -b exp-2018 --single-branch " +
"https://github.com/gioenn/xSpark-bench.git /home/ubuntu/xSpark-bench")
"""Clone xSpark-benchmark on cspark master"""
print("Cloning xSpark-benchmark tool on cspark master:\n" + stdout)
if not "id_rsa" in ssh_client.listdir("/home/ubuntu/"):
ssh_client.put(localpath=c.PRIVATE_KEY_PATH, remotepath="/home/ubuntu/id_rsa")
ssh_client.run("chmod 400 /home/ubuntu/id_rsa")
"""upload private key to home directory"""
if not "id_rsa.pub" in ssh_client.listdir("/home/ubuntu/"):
ssh_client.put(localpath=c.AZ_PUB_KEY_PATH, remotepath="/home/ubuntu/id_rsa.pub")
ssh_client.run("chmod 400 /home/ubuntu/id_rsa.pub")
"""upload public key to home directory"""
#ssh_client.run("sudo rm /home/ubuntu/xSpark-bench/credentials.py")
#ssh_client.put(localpath="credentials.py", remotepath="/home/ubuntu/xSpark-bench/credentials.py")
"""upload credentials.py"""
#ssh_client.run("sudo rm /home/ubuntu/xSpark-bench/config.py")
#ssh_client.put(localpath="config.py", remotepath="/home/ubuntu/xSpark-bench/config.py")
"""upLoad config.py"""
ssh_client.run("sudo rm /home/ubuntu/xSpark-bench/configure.py")
ssh_client.put(localpath="configure.py", remotepath="/home/ubuntu/xSpark-bench/configure.py")
"""upLoad configure.py"""
credentials_file = Path("credentials.json")
if credentials_file.exists():
credentials = json.load(open("credentials.json"))
try:
credentials["AzPubKeyPath"] = "/home/ubuntu/" + credentials["AzPubKeyPath"].split("/")[-1]
credentials["AzPrvKeyPath"] = "/home/ubuntu/" + credentials["AzPrvKeyPath"].split("/")[-1]
credentials["KeyPairPath"] = "/home/ubuntu/" + credentials["KeyPairPath"].split("/")[-1]
except KeyError:
print("key error in file credentials.json\n")
with open("credentials_on_server.json", "w") as outfile:
json.dump(credentials, outfile, indent=4, sort_keys=True)
ssh_client.run("sudo rm /home/ubuntu/xSpark-bench/credentials.json")
ssh_client.put(localpath="credentials_on_server.json", remotepath="/home/ubuntu/xSpark-bench/credentials.json")
"""upLoad credentials.json"""
credentials_on_server_file = Path("credentials_on_server.json")
if credentials_on_server_file.exists():
os.remove("credentials_on_server.json")
ssh_client.run("sudo rm /home/ubuntu/setup.json")
ssh_client.put(localpath="setup.json", remotepath="/home/ubuntu/xSpark-bench/setup.json")
"""upLoad setup.json"""
ssh_client.run("sudo rm /home/ubuntu/control.json")
ssh_client.put(localpath="control.json", remotepath="/home/ubuntu/xSpark-bench/control.json")
"""upLoad control.json"""
#ssh_client.run("sudo rm /home/ubuntu/experiment.json")
#ssh_client.put(localpath="experiment.json", remotepath="/home/ubuntu/xSpark-bench/experiment.json")
"""upLoad experiment.json"""
# update cfg_clusters.ini before uploading it to master
with open_cfg(mode='w') as cfg:
cfg['main']['tool_on_master'] = 'true'
write_cfg(cfg)
#tool_on_master = True
#ssh_client.run("sudo rm /home/ubuntu/cfg_clusters.ini")
#ssh_client.put(localpath="cfg_clusters.ini", remotepath="/home/ubuntu/xSpark-bench/cfg_clusters.ini")
#"""upLoad cfg_clusters.ini"""
'''
stdout, stderr, status = ssh_client.run("""sed -i -r 's{^KEY_PAIR_PATH( *= *["'"'"'].*["'"'"']) *\+ *{KEY_PAIR_PATH = \"/home/ubuntu/\" + {' /home/ubuntu/xSpark-bench/config.py""")
stdout, stderr, status = ssh_client.run("""sed -i -r 's{^AZ_PRV_KEY_PATH( *= *["'"'"'].*["'"'"']) *\+ *{AZ_PRV_KEY_PATH = \"/home/ubuntu/\" + {' /home/ubuntu/xSpark-bench/credentials.py""")
stdout, stderr, status = ssh_client.run("""sed -i -r 's{^AZ_PUB_KEY_PATH( *= *["'"'"'].*["'"'"']) *\+ *{AZ_PUB_KEY_PATH = \"/home/ubuntu/\" + {' /home/ubuntu/xSpark-bench/credentials.py""")
stdout, stderr, status = ssh_client.run("cat /home/ubuntu/xSpark-bench/credentials.py | grep -e ^AZ_PRV_KEY_PATH -e ^AZ_PUB_KEY_PATH")
print("Re-defining private and public key paths in credentials.py\n" + stdout)
stdout, stderr, status = ssh_client.run("cat /home/ubuntu/xSpark-bench/config.py | grep -e ^KEY_PAIR_PATH")
print("Re-defining private and public key paths in config.py\n" + stdout)
"""Re-define private and public key paths"""
'''
stdout, stderr, status = ssh_client.run("cd /home/ubuntu/xSpark-bench && " +
"sudo pip3 install -r requirements.txt")
"""Install xSpark-benchmark tool requirements"""
print("Installing xSpark-benchmark tool requirements\n" + stdout)
ssh_client.run("sudo rm /home/ubuntu/xSpark-bench/cfg_clusters.ini")
ssh_client.put(localpath="cfg_clusters.ini", remotepath="/home/ubuntu/xSpark-bench/cfg_clusters.ini")
"""upLoad cfg_clusters.ini"""
return master_private_ip, node
@timing
def setup_hdfs_ssd(node, hdfs_master):
"""
:param node:
:return:
"""
with open_cfg() as cfg:
delete_hdfs = cfg.getboolean('main', 'delete_hdfs')
ssh_client = sshclient_from_node(node, ssh_key_file=c.PRIVATE_KEY_PATH, user_name='ubuntu')
out, err, status = ssh_client.run(
"""test -d /mnt/hdfs/namenode || sudo mkdir --parents /mnt/hdfs/namenode &&
sudo mkdir --parents /mnt/hdfs/datanode""")
if status != 0:
print(out, err)
# if c.PROVIDER == "AWS_SPOT":
# ssh_client.run("sudo chown ubuntu:hadoop /mnt/hdfs && sudo chown ubuntu:hadoop /mnt/hdfs/*")
# elif c.PROVIDER == "AZURE":
ssh_client.run("sudo chown ubuntu:ubuntu /mnt/hdfs && sudo chown ubuntu:ubuntu /mnt/hdfs/*")
if delete_hdfs or hdfs_master == "":
# ssh_client.run("rm /mnt/hdfs/datanode/current/VERSION")
ssh_client.run("sudo rm /mnt/hdfs/datanode/current/VERSION")
def rsync_folder(ssh_client, slave):
"""
:param ssh_client:
:param slave:
:return:
"""
with open_cfg() as cfg:
delete_hdfs = cfg.getboolean('main', 'delete_hdfs')
ssh_client.run(
"eval `ssh-agent -s` && ssh-add " + "$HOME/" + c.PRIVATE_KEY_NAME + " && rsync -a " + c.HADOOP_CONF + " ubuntu@" + slave + ":" + c.HADOOP_CONF)
if delete_hdfs:
# ssh_client.run("rm /mnt/hdfs/datanode/current/VERSION")
ssh_client.run("sudo rm /mnt/hdfs/datanode/current/VERSION")
@timing
def setup_hdfs_config(master_node, slaves, hdfs_master):
"""
:param master_node:
:param slaves:
:return:
"""
with open_cfg() as cfg:
delete_hdfs = cfg.getboolean('main', 'delete_hdfs')
ssh_client = sshclient_from_node(master_node, ssh_key_file=c.PRIVATE_KEY_PATH, user_name='ubuntu')
if hdfs_master == "":
master_ip = get_ip(master_node)
else:
master_ip = hdfs_master
# Setup Config HDFS
ssh_client.run(
"sed -i '19s%.*%<configuration> <property> <name>fs.default.name</name> <value>hdfs://" + master_ip + ":9000</value> </property>%g' " + c.HADOOP_CONF + "core-site.xml")
# 19 <configuration> <property> <name>fs.default.name</name> <value>hdfs://ec2-54-70-105-139.us-west-2.compute.amazonaws.com:9000</value> </property>
ssh_client.run(
"sed -i '38s%.*%<value>" + master_ip + ":50070</value>%g' " + c.HADOOP_CONF + "hdfs-site.xml")
ssh_client.run(
"sed -i '43s%.*%<value>" + master_ip + ":50090</value>%g' " + c.HADOOP_CONF + "hdfs-site.xml")
ssh_client.run(
"sed -i '48s%.*%<value>" + master_ip + ":9000</value>%g' " + c.HADOOP_CONF + "hdfs-site.xml")
# 38 <value>ec2-54-70-105-139.us-west-2.compute.amazonaws.com:50070</value>
# 43 <value>ec2-54-70-105-139.us-west-2.compute.amazonaws.com:50090</value>
# 48 <value>ec2-54-70-105-139.us-west-2.compute.amazonaws.com:9000</value>
ssh_client.run(
"sed -i 's%/var/lib/hadoop/hdfs/namenode%/mnt/hdfs/namenode%g' " + c.HADOOP_CONF + "hdfs-site.xml")
ssh_client.run(
"sed -i 's%/var/lib/hadoop/hdfs/datanode%/mnt/hdfs/datanode%g' " + c.HADOOP_CONF + "hdfs-site.xml")
print(slaves)
ssh_client.run("echo -e '" + "\n".join(slaves) + "' > " + c.HADOOP_CONF + "slaves")
ssh_client.run(
"echo 'Host *\n UserKnownHostsFile /dev/null\n StrictHostKeyChecking no' > ~/.ssh/config")
# Rsync Config
with ThreadPoolExecutor(multiprocessing.cpu_count()) as executor:
for slave in slaves:
executor.submit(rsync_folder, ssh_client, slave)
# Start HDFS
if delete_hdfs or hdfs_master == "":
ssh_client.run(
"eval `ssh-agent -s` && ssh-add " + "$HOME/" + c.PRIVATE_KEY_NAME + " && /usr/local/lib/hadoop-2.7.2/sbin/stop-dfs.sh")
# ssh_client.run("rm /mnt/hdfs/datanode/current/VERSION")
ssh_client.run("sudo rm /mnt/hdfs/datanode/current/VERSION")
ssh_client.run("echo 'N' | /usr/local/lib/hadoop-2.7.2/bin/hdfs namenode -format")
out, err, status = ssh_client.run(
"eval `ssh-agent -s` && ssh-add " + "$HOME/" + c.PRIVATE_KEY_NAME + " && /usr/local/lib/hadoop-2.7.2/sbin/start-dfs.sh && /usr/local/lib/hadoop-2.7.2/bin/hdfs dfsadmin -safemode leave")
if status != 0:
print(out, err)
print(" Started HDFS")
if delete_hdfs:
print(" Cleaned HDFS")
if len(c.BENCHMARK_PERF) > 0:
out, err, status = ssh_client.run(
"/usr/local/lib/hadoop-2.7.2/bin/hadoop fs -rm -R /test/spark-perf-kv-data")
print(out, err, status)
def write_config(output_folder):
"""
:param output_folder:
:return:
"""
with open(output_folder + "/config.json", "w") as config_out:
json.dump(c.CONFIG_DICT, config_out, sort_keys=True, indent=4)
def check_slave_connected_master(ssh_client):
"""
:param ssh_client:
:return:
"""
pass
def upload_profile_to_master(nodes, profile_fname, localfilepath):
"""
:param nodes, profile_fname, localfilepath:
:return:
"""
ssh_client = sshclient_from_node(nodes[0], ssh_key_file=c.PRIVATE_KEY_PATH, user_name='ubuntu') #vboxvm_removed
#master_public_ip = socket.gethostbyname("XSPARKWORK0") #vboxvm
#ssh_client = sshclient_from_ip(master_public_ip, c.PRIVATE_KEY_PATH, user_name='ubuntu') #vboxvm
print("Uploading benchmark profile: " + profile_fname + "\n")
if not profile_fname in ssh_client.listdir(c.C_SPARK_HOME + "conf/"):
ssh_client.put(localpath=localfilepath, remotepath=c.C_SPARK_HOME + "conf/" + profile_fname)
ssh_client.run("chmod 664 " + c.C_SPARK_HOME + "conf/" + profile_fname)
ssh_client.run("sudo chown ubuntu:ubuntu " + c.C_SPARK_HOME + "conf/" + profile_fname)
print("Benchmark profile successfully uploaded\n")
"""upload profile to spark conf directory"""
else:
print("Not uploaded: a benchmark profile with the same name already exists\n")
@timing
def run_benchmark(nodes):
"""
:return:
"""
if len(nodes) == 0:
print("No instances running")
exit(1)
profile = False
profile_fname = ""
profile_option = False
benchmark = ""
with open_cfg(mode='w') as cfg:
current_cluster = cfg['main']['current_cluster']