class HadoopCluster(object):
"""This class manages the whole life-cycle of a Hadoop cluster.
HadoopCluster defines the default behavior of a Hadoop Cluster and is
designed to work with Hadoop 0.* and Hadoop 1.*. For Hadoop 2.* the subclass
HadoopV2Cluster should be used instead.
Attributes:
master (Host):
The host selected as the master. It runs the NameNode and
JobTracker.
hosts (list of Hosts):
List of hosts composing the cluster. All run DataNode and TaskTracker
processes.
topology (HadoopTopology):
The topology of the cluster hosts.
initialized (bool):
True if the cluster has been initialized, False otherwise.
running (bool):
True if both the NameNode and JobTracker are running, False otherwise.
running_dfs (bool):
True if the NameNode is running, False otherwise.
running_map_reduce (bool):
True if the JobTracker is running, False otherwise.
"""
@staticmethod
def get_cluster_type():
return "hadoop"
# Cluster state
initialized = False
running = False
running_dfs = False
running_map_reduce = False
# Default properties
defaults = {
"hadoop_base_dir": DEFAULT_HADOOP_BASE_DIR,
"hadoop_conf_dir": DEFAULT_HADOOP_CONF_DIR,
"hadoop_logs_dir": DEFAULT_HADOOP_LOGS_DIR,
"hadoop_temp_dir": DEFAULT_HADOOP_TEMP_DIR,
"hdfs_port": str(DEFAULT_HADOOP_HDFS_PORT),
"mapred_port": str(DEFAULT_HADOOP_MR_PORT),
"local_base_conf_dir": DEFAULT_HADOOP_LOCAL_CONF_DIR
}
def __init__(self, hosts, topo_list=None, config_file=None):
"""Create a new Hadoop cluster with the given hosts and topology.
Args:
hosts (list of Host):
The hosts to be assigned a topology.
topo_list (list of str, optional):
The racks to be assigned to each host. len(hosts) should be equal to
len(topo_list).
configFile (str, optional):
The path of the config file to be used.
"""
# Load cluster properties
config = ConfigParser(self.defaults)
config.add_section("cluster")
config.add_section("local")
if config_file:
config.readfp(open(config_file))
self.base_dir = config.get("cluster", "hadoop_base_dir")
self.conf_dir = config.get("cluster", "hadoop_conf_dir")
self.logs_dir = config.get("cluster", "hadoop_logs_dir")
self.hadoop_temp_dir = config.get("cluster", "hadoop_temp_dir")
self.hdfs_port = config.getint("cluster", "hdfs_port")
self.mapred_port = config.getint("cluster", "mapred_port")
self.local_base_conf_dir = config.get("local", "local_base_conf_dir")
self.bin_dir = self.base_dir + "/bin"
self.sbin_dir = self.base_dir + "/bin"
# Configure master and slaves
self.hosts = hosts
self.master = hosts[0]
# Create topology
self.topology = HadoopTopology(hosts, topo_list)
# Store cluster information
self.host_clusters = {}
for h in self.hosts:
g5k_cluster = get_host_cluster(h)
if g5k_cluster in self.host_clusters:
self.host_clusters[g5k_cluster].append(h)
else:
self.host_clusters[g5k_cluster] = [h]
# Create a string to display the topology
t = {v: [] for v in self.topology.topology.values()}
for key, value in self.topology.topology.iteritems():
t[value].append(key.address)
log_topo = ', '.join([style.user2(k) + ': ' +
' '.join(map(lambda x: style.host(x.split('.')[0]), v))
for k, v in t.iteritems()])
logger.info("Hadoop cluster created with master %s, hosts %s and topology %s",
style.host(self.master.address),
' '.join([style.host(h.address.split('.')[0]) for h in self.hosts]),
log_topo)
def bootstrap(self, tar_file):
"""Install Hadoop in all cluster nodes from the specified tar.gz file.
Args:
tar_file (str):
The file containing Hadoop binaries.
"""
# 0. Check that required packages are present
required_packages = "openjdk-7-jre openjdk-7-jdk"
check_packages = TaktukRemote("dpkg -s " + required_packages,
self.hosts)
for p in check_packages.processes:
p.nolog_exit_code = p.nolog_error = True
check_packages.run()
if not check_packages.ok:
logger.info("Packages not installed, trying to install")
install_packages = TaktukRemote(
"export DEBIAN_MASTER=noninteractive ; " +
"apt-get update && apt-get install -y --force-yes " +
required_packages, self.hosts).run()
if not install_packages.ok:
logger.error("Unable to install the packages")
get_java_home = SshProcess('echo $(readlink -f /usr/bin/javac | '
'sed "s:/bin/javac::")', self.master)
get_java_home.run()
self.java_home = get_java_home.stdout.strip()
logger.info("All required packages are present")
# 1. Copy hadoop tar file and uncompress
logger.info("Copy " + tar_file + " to hosts and uncompress")
rm_dirs = Remote("rm -rf " + self.base_dir +
" " + self.conf_dir +
" " + self.logs_dir +
" " + self.hadoop_temp_dir,
self.hosts)
put_tar = TaktukPut(self.hosts, [tar_file], "/tmp")
tar_xf = TaktukRemote(
"tar xf /tmp/" + os.path.basename(tar_file) + " -C /tmp",
self.hosts)
SequentialActions([rm_dirs, put_tar, tar_xf]).run()
# 2. Move installation to base dir and create other dirs
logger.info("Create installation directories")
mv_base_dir = TaktukRemote(
"mv /tmp/" +
os.path.basename(tar_file).replace(".tar.gz", "") + " " +
self.base_dir,
self.hosts)
mkdirs = TaktukRemote("mkdir -p " + self.conf_dir +
" && mkdir -p " + self.logs_dir +
" && mkdir -p " + self.hadoop_temp_dir,
self.hosts)
chmods = TaktukRemote("chmod g+w " + self.base_dir +
" && chmod g+w " + self.conf_dir +
" && chmod g+w " + self.logs_dir +
" && chmod g+w " + self.hadoop_temp_dir,
self.hosts)
SequentialActions([mv_base_dir, mkdirs, chmods]).run()
# 4. Specify environment variables
command = "cat >> " + self.conf_dir + "/hadoop-env.sh << EOF\n"
command += "export JAVA_HOME=" + self.java_home + "\n"
command += "export HADOOP_LOG_DIR=" + self.logs_dir + "\n"
command += "HADOOP_HOME_WARN_SUPPRESS=\"TRUE\"\n"
command += "EOF"
action = Remote(command, self.hosts)
action.run()
# 5. Check version
return self._check_version_compliance()
def _check_version_compliance(self):
version = self.get_version()
if not (version.startswith("Hadoop 0.") or
version.startswith("Hadoop 1.")):
logger.error("Version of HadoopCluster is not compliant with the "
"distribution provided in the bootstrap option. Use "
"the appropiate parameter for --version when creating "
"the cluster or use another distribution.")
return False
else:
return True
def initialize(self):
"""Initialize the cluster: copy base configuration and format DFS."""
self._pre_initialize()
logger.info("Initializing hadoop")
# Set basic configuration
self._copy_base_conf()
self._create_master_and_slave_conf()
self.topology.create_files(self.temp_conf_dir)
# Configure hosts depending on resource type
for g5k_cluster in self.host_clusters:
hosts = self.host_clusters[g5k_cluster]
self._configure_servers(hosts)
self._copy_conf(self.temp_conf_dir, hosts)
# Format HDFS
self.format_dfs()
self.initialized = True
def _pre_initialize(self):
"""Clean previous configurations"""
if self.initialized:
if self.running:
self.stop()
self.clean()
else:
self.__force_clean()
self.initialized = False
def _copy_base_conf(self):
"""Copy base configuration files to tmp dir."""
self.temp_conf_dir = tempfile.mkdtemp("", "hadoop-", "/tmp")
if os.path.exists(self.local_base_conf_dir):
base_conf_files = [os.path.join(self.local_base_conf_dir, f)
for f in os.listdir(self.local_base_conf_dir)]
for f in base_conf_files:
shutil.copy(f, self.temp_conf_dir)
else:
logger.warn(
"Local conf dir does not exist. Using default configuration")
base_conf_files = []
mandatory_files = [CORE_CONF_FILE, HDFS_CONF_FILE, MR_CONF_FILE]
missing_conf_files = mandatory_files
for f in base_conf_files:
f_base_name = os.path.basename(f)
if f_base_name in missing_conf_files:
missing_conf_files.remove(f_base_name)
logger.info("Copying missing conf files from master: " + str(
missing_conf_files))
remote_missing_files = [os.path.join(self.conf_dir, f)
for f in missing_conf_files]
action = Get([self.master], remote_missing_files, self.temp_conf_dir)
action.run()
def _create_master_and_slave_conf(self):
"""Create master and slaves configuration files."""
master_file = open(self.temp_conf_dir + "/masters", "w")
master_file.write(self.master.address + "\n")
master_file.close()
slaves_file = open(self.temp_conf_dir + "/slaves", "w")
for s in self.hosts:
slaves_file.write(s.address + "\n")
slaves_file.close()
def _check_initialization(self):
""" Check whether the cluster is initialized and raise and exception if
not.
Raises:
HadoopNotInitializedException:
If self.initialized = False
"""
if not self.initialized:
logger.error("The cluster should be initialized")
raise HadoopNotInitializedException(
"The cluster should be initialized")
def _configure_servers(self, hosts=None):
"""Configure servers and host-dependant parameters.
Args:
hosts (list of Host, optional):
The list of hosts to take into account in the configuration. If
not specified, all the hosts of the Hadoop cluster are used. The
first host of this list is always used as the reference.
"""
if not hosts:
hosts = self.hosts
host_attrs = get_host_attributes(hosts[0])
num_cores = host_attrs[u'architecture'][u'smt_size']
total_memory_mb = (int(host_attrs[u'main_memory'][u'ram_size']) /
(1024 * 1024)) - 2 * 1024
mem_per_slot_mb = total_memory_mb / (num_cores - 1)
replace_in_xml_file(os.path.join(self.temp_conf_dir, CORE_CONF_FILE),
"fs.default.name",
"hdfs://" + self.master.address + ":" +
str(self.hdfs_port) + "/",
True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, CORE_CONF_FILE),
"hadoop.tmp.dir",
self.hadoop_temp_dir, True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, CORE_CONF_FILE),
"topology.script.file.name",
self.conf_dir + "/topo.sh", True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.job.tracker",
self.master.address + ":" +
str(self.mapred_port), True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.tasktracker.map.tasks.maximum",
str(num_cores - 1), True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.tasktracker.reduce.tasks.maximum",
str(num_cores - 1), True)
if mem_per_slot_mb <= 0:
logger.warn("Memory is negative, no setting")
else:
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.child.java.opts",
"-Xmx" + str(mem_per_slot_mb) + "m", True)
def _copy_conf(self, conf_dir, hosts=None):
"""Copy configuration files from given dir to remote dir in cluster
hosts.
Args:
conf_dir (str):
The remote configuration dir.
hosts (list of Host, optional):
The list of hosts where the configuration is going to be copied. If
not specified, all the hosts of the Hadoop cluster are used.
"""
if not hosts:
hosts = self.hosts
conf_files = [os.path.join(conf_dir, f) for f in os.listdir(conf_dir)]
action = TaktukPut(hosts, conf_files, self.conf_dir)
action.run()
if not action.finished_ok:
logger.warn("Error while copying configuration")
if not action.ended:
action.kill()
def change_conf(self, params):
"""Modify Hadoop configuration. This method copies the configuration
files from the first host of each g5k cluster conf dir into a local
temporary dir, do all the changes in place and broadcast the new
configuration files to all hosts.
Args:
params (dict of str:str):
The parameters to be changed in the form key:value.
"""
for g5k_cluster in self.host_clusters:
hosts = self.host_clusters[g5k_cluster]
# Copy conf files from first host in the cluster
action = Remote("ls " + self.conf_dir + "/*.xml", [hosts[0]])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([hosts[0]], remote_conf_files, tmp_dir)
action.run()
# Do replacements in temp file
temp_conf_files = [os.path.join(tmp_dir, f) for f in
os.listdir(tmp_dir)]
for name, value in params.iteritems():
for f in temp_conf_files:
if replace_in_xml_file(f, name, value):
break
else:
# Property not found - provisionally add it in MR_CONF_FILE
f = os.path.join(tmp_dir, MR_CONF_FILE)
replace_in_xml_file(f, name, value, True)
# Copy back the files to all hosts
self._copy_conf(tmp_dir, hosts)
def get_conf(self, param_names):
params = {}
remaining_param_names = param_names[:]
# Copy conf files from first host in the cluster
action = Remote("ls " + self.conf_dir + "/*.xml", [self.hosts[0]])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([self.hosts[0]], remote_conf_files, tmp_dir)
action.run()
# Do replacements in temp file
temp_conf_files = [os.path.join(tmp_dir, f) for f in
os.listdir(tmp_dir)]
for f in temp_conf_files:
fparams = get_xml_params(f, remaining_param_names)
for p in fparams:
if fparams[p]:
params[p] = fparams[p]
remaining_param_names.remove(p)
return params
def format_dfs(self):
"""Format the distributed filesystem."""
logger.info("Formatting HDFS")
proc = SshProcess(self.bin_dir + "/hadoop namenode -format",
self.master)
proc.run()
if proc.finished_ok:
logger.info("HDFS formatted successfully")
else:
logger.warn("Error while formatting HDFS")
def start(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers."""
self._check_initialization()
self.start_dfs()
self.start_map_reduce()
self.running = True
def start_and_wait(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers. Wait for them to exit safemode before continuing."""
self._check_initialization()
self.start_dfs_and_wait()
self.start_map_reduce_and_wait()
self.running = True
def start_dfs(self):
"""Start the NameNode and DataNodes."""
self._check_initialization()
logger.info("Starting HDFS")
if self.running_dfs:
logger.warn("Dfs was already started")
return
proc = SshProcess(self.sbin_dir + "/start-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
def start_dfs_and_wait(self):
"""Start the NameNode and DataNodes and wait for exiting safemode."""
self._check_initialization()
self.start_dfs()
logger.info("Waiting for safe mode to be off")
proc = SshProcess(self.bin_dir + "/hadoop dfsadmin -safemode wait",
self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
def start_map_reduce(self):
"""Start the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Starting MapReduce")
if self.running_map_reduce:
logger.warn("Error while starting MapReduce")
return
proc = SshProcess(self.sbin_dir + "/start-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.info("MapReduce started successfully")
else:
self.running_map_reduce = True
def start_map_reduce_and_wait(self):
"""Start the JobTracker and TaskTrackers and wait for exiting safemode.
"""
self._check_initialization()
self.start_map_reduce()
# logger.info("Waiting for safe mode to be off")
# proc = SshProcess(self.hadoop_base_dir +
# "/bin/hadoop mradmin -safemode wait",
# self.master)
# proc.run()
# TODO - does the jobtracker enter safemode?
def stop(self):
"""Stop the Jobtracker and TaskTracekrs and then the NameNode and
DataNodes."""
self._check_initialization()
self.stop_map_reduce()
self.stop_dfs()
self.running = False
def stop_dfs(self):
"""Stop the NameNode and DataNodes."""
self._check_initialization()
logger.info("Stopping HDFS")
proc = SshProcess(self.sbin_dir + "/stop-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping HDFS")
else:
self.running_dfs = False
def stop_map_reduce(self):
"""Stop the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Stopping MapReduce")
proc = SshProcess(self.sbin_dir + "/stop-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping MapReduce")
else:
self.running_map_reduce = False
def execute(self, command, node=None, should_be_running=True,
verbose=True):
"""Execute the given Hadoop command in the given node.
Args:
command (str):
The command to be executed.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
should_be_running (bool, optional):
True if the cluster needs to be running in order to execute the
command. If so, and it is not running, it is automatically started.
verbose: (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the command.
"""
self._check_initialization()
if should_be_running and not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
if verbose:
logger.info("Executing {" + self.bin_dir + "/hadoop " +
command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
return (proc.stdout, proc.stderr)
def execute_job(self, job, node=None, verbose=True):
"""Execute the given MapReduce job in the specified node.
Args:
job (HadoopJarJob):
The job object.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
verbose (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the job.
"""
self._check_initialization()
if not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
exec_dir = "/tmp"
# Copy necessary files to cluster
files_to_copy = job.get_files_to_copy()
action = Put([node], files_to_copy, exec_dir)
action.run()
# Get command
command = job.get_command(exec_dir)
# Execute
logger.info("Executing jar job. Command = {" + self.bin_dir +
"/hadoop " + command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
# Get job info
job.stdout = proc.stdout
job.stderr = proc.stderr
job.success = (proc.exit_code == 0)
for line in job.stdout.splitlines():
if "Running job" in line:
if "mapred.JobClient" in line or "mapreduce.Job" in line:
# TODO: more possible formats?
try:
match = re.match('.*Running job: (.*)', line)
job.job_id = match.group(1)
break
except:
pass
return (proc.stdout, proc.stderr)
def copy_history(self, dest, job_ids=None):
"""Copy history logs from master.
Args:
dest (str):
The path of the local dir where the logs will be copied.
job_ids (list of str, optional):
A list with the ids of the jobs for which the history should be
copied. If nothing is passed, the history of all jobs is copied.
"""
if not os.path.exists(dest):
logger.warning("Destination directory " + dest +
" does not exist. It will be created")
os.makedirs(dest)
history_dir = os.path.join(self.logs_dir, "history")
if job_ids:
pattern = " -o ".join("-name " + jid + "*" for jid in job_ids)
list_dirs = SshProcess("find " + history_dir + " " + pattern,
self.master)
list_dirs.run()
else:
list_dirs = SshProcess("find " + history_dir + " -name job_*",
self.master)
list_dirs.run()
remote_files = []
for line in list_dirs.stdout.splitlines():
remote_files.append(line)
action = Get([self.master], remote_files, dest)
action.run()
def clean_history(self):
"""Remove history."""
logger.info("Cleaning history")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/history",
[self.master])
action.run()
if restart:
self.start()
def clean_conf(self):
"""Clean configuration files used by this cluster."""
shutil.rmtree(self.temp_conf_dir)
def clean_logs(self):
"""Remove all Hadoop logs."""
logger.info("Cleaning logs")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/*", self.hosts)
action.run()
if restart:
self.start()
def clean_data(self):
"""Remove all data created by Hadoop (including filesystem)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
logger.info("Cleaning hadoop data")
restart = False
if self.running:
self.stop()
restart = True
action = Remote("rm -rf " + self.hadoop_temp_dir + " /tmp/hadoop-" +
getpass.getuser() + "-*", self.hosts)
action.run()
if restart:
self.start()
def clean(self):
"""Remove all files created by Hadoop (logs, filesystem,
temporary files)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
self.clean_conf()
self.clean_logs()
self.clean_data()
self.initialized = False
def __force_clean(self):
"""Stop previous Hadoop processes (if any) and remove all remote files
created by it."""
hadoop_processes = [
"DataNode",
"SecondaryNameNode",
"JobTracker",
"TaskTracker",
"NameNode"
]
force_kill = False
for h in self.hosts:
proc = SshProcess("jps", self.master)
proc.run()
ids_to_kill = []
for line in proc.stdout.splitlines():
field = line.split()
if field[1] in hadoop_processes:
ids_to_kill.append(field[0])
if ids_to_kill:
force_kill = True
ids_to_kill_str = ""
for pid in ids_to_kill:
ids_to_kill_str += " " + pid
proc = SshProcess("kill -9" + ids_to_kill_str, h)
proc.run()
if force_kill:
logger.info(
"Processes from previous hadoop deployments had to be killed")
self.clean_logs()
self.clean_data()
def get_version(self):
"""Return the Hadoop version.
Returns (str):
The version used by the Hadoop cluster.
"""
proc = SshProcess("export JAVA_HOME=" + self.java_home + ";" +
self.bin_dir + "/hadoop version",
self.master)
proc.run()
version = proc.stdout.splitlines()[0]
return version
class HadoopCluster(object):
"""This class manages the whole life-cycle of a Hadoop cluster.
HadoopCluster defines the default behavior of a Hadoop Cluster and is
designed to work with Hadoop 0.* and Hadoop 1.*. For Hadoop 2.* the subclass
HadoopV2Cluster should be used instead.
Attributes:
master (Host):
The host selected as the master. It runs the NameNode and
JobTracker.
hosts (list of Hosts):
List of hosts composing the cluster. All run DataNode and TaskTracker
processes.
topology (HadoopTopology):
The topology of the cluster hosts.
initialized (bool):
True if the cluster has been initialized, False otherwise.
running (bool):
True if both the NameNode and JobTracker are running, False otherwise.
running_dfs (bool):
True if the NameNode is running, False otherwise.
running_map_reduce (bool):
True if the JobTracker is running, False otherwise.
"""
@staticmethod
def get_cluster_type():
return "hadoop"
# Cluster state
initialized = False
running = False
running_dfs = False
running_map_reduce = False
# Default properties
defaults = {
"hadoop_base_dir": DEFAULT_HADOOP_BASE_DIR,
"hadoop_conf_dir": DEFAULT_HADOOP_CONF_DIR,
"hadoop_logs_dir": DEFAULT_HADOOP_LOGS_DIR,
"hadoop_temp_dir": DEFAULT_HADOOP_TEMP_DIR,
"hdfs_port": str(DEFAULT_HADOOP_HDFS_PORT),
"mapred_port": str(DEFAULT_HADOOP_MR_PORT),
"local_base_conf_dir": DEFAULT_HADOOP_LOCAL_CONF_DIR
}
def __init__(self, hosts, topo_list=None, config_file=None):
"""Create a new Hadoop cluster with the given hosts and topology.
Args:
hosts (list of Host):
The hosts to be assigned a topology.
topo_list (list of str, optional):
The racks to be assigned to each host. len(hosts) should be equal to
len(topo_list).
configFile (str, optional):
The path of the config file to be used.
"""
# Load cluster properties
config = ConfigParser(self.defaults)
config.add_section("cluster")
config.add_section("local")
if config_file:
config.readfp(open(config_file))
self.base_dir = config.get("cluster", "hadoop_base_dir")
self.conf_dir = config.get("cluster", "hadoop_conf_dir")
self.logs_dir = config.get("cluster", "hadoop_logs_dir")
self.hadoop_temp_dir = config.get("cluster", "hadoop_temp_dir")
self.hdfs_port = config.getint("cluster", "hdfs_port")
self.mapred_port = config.getint("cluster", "mapred_port")
self.local_base_conf_dir = config.get("local", "local_base_conf_dir")
self.bin_dir = self.base_dir + "/bin"
self.sbin_dir = self.base_dir + "/bin"
# Configure master and slaves
self.hosts = hosts
self.master = hosts[0]
# Create topology
self.topology = HadoopTopology(hosts, topo_list)
# Store cluster information
self.host_clusters = {}
for h in self.hosts:
g5k_cluster = get_host_cluster(h)
if g5k_cluster in self.host_clusters:
self.host_clusters[g5k_cluster].append(h)
else:
self.host_clusters[g5k_cluster] = [h]
# Create a string to display the topology
t = {v: [] for v in self.topology.topology.values()}
for key, value in self.topology.topology.iteritems():
t[value].append(key.address)
log_topo = ', '.join([style.user2(k) + ': ' +
' '.join(map(lambda x: style.host(x.split('.')[0]), v))
for k, v in t.iteritems()])
logger.info("Hadoop cluster created with master %s, hosts %s and topology %s",
style.host(self.master.address),
' '.join([style.host(h.address.split('.')[0]) for h in self.hosts]),
log_topo)
def bootstrap(self, tar_file):
"""Install Hadoop in all cluster nodes from the specified tar.gz file.
Args:
tar_file (str):
The file containing Hadoop binaries.
"""
# 0. Check that required packages are present
required_packages = "openjdk-7-jre openjdk-7-jdk"
check_packages = TaktukRemote("dpkg -s " + required_packages,
self.hosts)
for p in check_packages.processes:
p.nolog_exit_code = p.nolog_error = True
check_packages.run()
if not check_packages.ok:
logger.info("Packages not installed, trying to install")
install_packages = TaktukRemote(
"export DEBIAN_MASTER=noninteractive ; " +
"apt-get update && apt-get install -y --force-yes " +
required_packages, self.hosts).run()
if not install_packages.ok:
logger.error("Unable to install the packages")
get_java_home = SshProcess('echo $(readlink -f /usr/bin/javac | '
'sed "s:/bin/javac::")', self.master)
get_java_home.run()
self.java_home = get_java_home.stdout.strip()
logger.info("All required packages are present")
# 1. Copy hadoop tar file and uncompress
logger.info("Copy " + tar_file + " to hosts and uncompress")
rm_dirs = Remote("rm -rf " + self.base_dir +
" " + self.conf_dir +
" " + self.logs_dir +
" " + self.hadoop_temp_dir,
self.hosts)
put_tar = TaktukPut(self.hosts, [tar_file], "/tmp")
tar_xf = TaktukRemote(
"tar xf /tmp/" + os.path.basename(tar_file) + " -C /tmp",
self.hosts)
SequentialActions([rm_dirs, put_tar, tar_xf]).run()
# 2. Move installation to base dir and create other dirs
logger.info("Create installation directories")
mv_base_dir = TaktukRemote(
"mv /tmp/" +
os.path.basename(tar_file).replace(".tar.gz", "") + " " +
self.base_dir,
self.hosts)
mkdirs = TaktukRemote("mkdir -p " + self.conf_dir +
" && mkdir -p " + self.logs_dir +
" && mkdir -p " + self.hadoop_temp_dir,
self.hosts)
chmods = TaktukRemote("chmod g+w " + self.base_dir +
" && chmod g+w " + self.conf_dir +
" && chmod g+w " + self.logs_dir +
" && chmod g+w " + self.hadoop_temp_dir,
self.hosts)
SequentialActions([mv_base_dir, mkdirs, chmods]).run()
# 4. Specify environment variables
command = "cat >> " + self.conf_dir + "/hadoop-env.sh << EOF\n"
command += "export JAVA_HOME=" + self.java_home + "\n"
command += "export HADOOP_LOG_DIR=" + self.logs_dir + "\n"
command += "HADOOP_HOME_WARN_SUPPRESS=\"TRUE\"\n"
command += "EOF"
action = Remote(command, self.hosts)
action.run()
# 5. Check version
return self._check_version_compliance()
def _check_version_compliance(self):
version = self.get_version()
if not (version.startswith("Hadoop 0.") or
version.startswith("Hadoop 1.")):
logger.error("Version of HadoopCluster is not compliant with the "
"distribution provided in the bootstrap option. Use "
"the appropiate parameter for --version when creating "
"the cluster or use another distribution.")
return False
else:
return True
def initialize(self):
"""Initialize the cluster: copy base configuration and format DFS."""
self._pre_initialize()
logger.info("Initializing hadoop")
# Set basic configuration
self._copy_base_conf()
self._create_master_and_slave_conf()
self.topology.create_files(self.temp_conf_dir)
# Configure hosts depending on resource type
for g5k_cluster in self.host_clusters:
hosts = self.host_clusters[g5k_cluster]
self._configure_servers(hosts)
self._copy_conf(self.temp_conf_dir, hosts)
# Format HDFS
self.format_dfs()
self.initialized = True
def _pre_initialize(self):
"""Clean previous configurations"""
if self.initialized:
if self.running:
self.stop()
self.clean()
else:
self.__force_clean()
self.initialized = False
def _copy_base_conf(self):
"""Copy base configuration files to tmp dir."""
self.temp_conf_dir = tempfile.mkdtemp("", "hadoop-", "/tmp")
if os.path.exists(self.local_base_conf_dir):
base_conf_files = [os.path.join(self.local_base_conf_dir, f)
for f in os.listdir(self.local_base_conf_dir)]
for f in base_conf_files:
shutil.copy(f, self.temp_conf_dir)
else:
logger.warn(
"Local conf dir does not exist. Using default configuration")
base_conf_files = []
mandatory_files = [CORE_CONF_FILE, HDFS_CONF_FILE, MR_CONF_FILE]
missing_conf_files = mandatory_files
for f in base_conf_files:
f_base_name = os.path.basename(f)
if f_base_name in missing_conf_files:
missing_conf_files.remove(f_base_name)
logger.info("Copying missing conf files from master: " + str(
missing_conf_files))
remote_missing_files = [os.path.join(self.conf_dir, f)
for f in missing_conf_files]
action = Get([self.master], remote_missing_files, self.temp_conf_dir)
action.run()
def _create_master_and_slave_conf(self):
"""Create master and slaves configuration files."""
master_file = open(self.temp_conf_dir + "/masters", "w")
master_file.write(self.master.address + "\n")
master_file.close()
slaves_file = open(self.temp_conf_dir + "/slaves", "w")
for s in self.hosts:
slaves_file.write(s.address + "\n")
slaves_file.close()
def _check_initialization(self):
""" Check whether the cluster is initialized and raise and exception if
not.
Raises:
HadoopNotInitializedException:
If self.initialized = False
"""
if not self.initialized:
logger.error("The cluster should be initialized")
raise HadoopNotInitializedException(
"The cluster should be initialized")
def _configure_servers(self, hosts=None):
"""Configure servers and host-dependant parameters.
Args:
hosts (list of Host, optional):
The list of hosts to take into account in the configuration. If
not specified, all the hosts of the Hadoop cluster are used. The
first host of this list is always used as the reference.
"""
if not hosts:
hosts = self.hosts
host_attrs = get_host_attributes(hosts[0])
num_cores = host_attrs[u'architecture'][u'smt_size']
total_memory_mb = (int(host_attrs[u'main_memory'][u'ram_size']) /
(1024 * 1024)) - 2 * 1024
mem_per_slot_mb = total_memory_mb / (num_cores - 1)
replace_in_xml_file(os.path.join(self.temp_conf_dir, CORE_CONF_FILE),
"fs.default.name",
"hdfs://" + self.master.address + ":" +
str(self.hdfs_port) + "/",
True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, CORE_CONF_FILE),
"hadoop.tmp.dir",
self.hadoop_temp_dir, True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, CORE_CONF_FILE),
"topology.script.file.name",
self.conf_dir + "/topo.sh", True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.job.tracker",
self.master.address + ":" +
str(self.mapred_port), True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.tasktracker.map.tasks.maximum",
str(num_cores - 1), True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.tasktracker.reduce.tasks.maximum",
str(num_cores - 1), True)
replace_in_xml_file(os.path.join(self.temp_conf_dir, MR_CONF_FILE),
"mapred.child.java.opts",
"-Xmx" + str(mem_per_slot_mb) + "m", True)
def _copy_conf(self, conf_dir, hosts=None):
"""Copy configuration files from given dir to remote dir in cluster
hosts.
Args:
conf_dir (str):
The remote configuration dir.
hosts (list of Host, optional):
The list of hosts where the configuration is going to be copied. If
not specified, all the hosts of the Hadoop cluster are used.
"""
if not hosts:
hosts = self.hosts
conf_files = [os.path.join(conf_dir, f) for f in os.listdir(conf_dir)]
action = TaktukPut(hosts, conf_files, self.conf_dir)
action.run()
if not action.finished_ok:
logger.warn("Error while copying configuration")
if not action.ended:
action.kill()
def change_conf(self, params):
"""Modify Hadoop configuration. This method copies the configuration
files from the first host of each g5k cluster conf dir into a local
temporary dir, do all the changes in place and broadcast the new
configuration files to all hosts.
Args:
params (dict of str:str):
The parameters to be changed in the form key:value.
"""
for g5k_cluster in self.host_clusters:
hosts = self.host_clusters[g5k_cluster]
# Copy conf files from first host in the cluster
action = Remote("ls " + self.conf_dir + "/*.xml", [hosts[0]])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([hosts[0]], remote_conf_files, tmp_dir)
action.run()
# Do replacements in temp file
temp_conf_files = [os.path.join(tmp_dir, f) for f in
os.listdir(tmp_dir)]
for name, value in params.iteritems():
for f in temp_conf_files:
if replace_in_xml_file(f, name, value):
break
else:
# Property not found - provisionally add it in MR_CONF_FILE
f = os.path.join(tmp_dir, MR_CONF_FILE)
replace_in_xml_file(f, name, value, True)
# Copy back the files to all hosts
self._copy_conf(tmp_dir, hosts)
def format_dfs(self):
"""Format the distributed filesystem."""
logger.info("Formatting HDFS")
proc = SshProcess(self.bin_dir + "/hadoop namenode -format",
self.master)
proc.run()
if proc.finished_ok:
logger.info("HDFS formatted successfully")
else:
logger.warn("Error while formatting HDFS")
def start(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers."""
self._check_initialization()
self.start_dfs()
self.start_map_reduce()
self.running = True
def start_and_wait(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers. Wait for them to exit safemode before continuing."""
self._check_initialization()
self.start_dfs_and_wait()
self.start_map_reduce_and_wait()
self.running = True
def start_dfs(self):
"""Start the NameNode and DataNodes."""
self._check_initialization()
logger.info("Starting HDFS")
if self.running_dfs:
logger.warn("Dfs was already started")
return
proc = SshProcess(self.sbin_dir + "/start-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
def start_dfs_and_wait(self):
"""Start the NameNode and DataNodes and wait for exiting safemode."""
self._check_initialization()
self.start_dfs()
logger.info("Waiting for safe mode to be off")
proc = SshProcess(self.bin_dir + "/hadoop dfsadmin -safemode wait",
self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
def start_map_reduce(self):
"""Start the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Starting MapReduce")
if self.running_map_reduce:
logger.warn("Error while starting MapReduce")
return
proc = SshProcess(self.sbin_dir + "/start-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.info("MapReduce started successfully")
else:
self.running_map_reduce = True
def start_map_reduce_and_wait(self):
"""Start the JobTracker and TaskTrackers and wait for exiting safemode.
"""
self._check_initialization()
self.start_map_reduce()
# logger.info("Waiting for safe mode to be off")
# proc = SshProcess(self.hadoop_base_dir +
# "/bin/hadoop mradmin -safemode wait",
# self.master)
# proc.run()
# TODO - does the jobtracker enter safemode?
def stop(self):
"""Stop the Jobtracker and TaskTracekrs and then the NameNode and
DataNodes."""
self._check_initialization()
self.stop_map_reduce()
self.stop_dfs()
self.running = False
def stop_dfs(self):
"""Stop the NameNode and DataNodes."""
self._check_initialization()
logger.info("Stopping HDFS")
proc = SshProcess(self.sbin_dir + "/stop-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping HDFS")
else:
self.running_dfs = False
def stop_map_reduce(self):
"""Stop the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Stopping MapReduce")
proc = SshProcess(self.sbin_dir + "/stop-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping MapReduce")
else:
self.running_map_reduce = False
def execute(self, command, node=None, should_be_running=True,
verbose=True):
"""Execute the given Hadoop command in the given node.
Args:
command (str):
The command to be executed.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
should_be_running (bool, optional):
True if the cluster needs to be running in order to execute the
command. If so, and it is not running, it is automatically started.
verbose: (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the command.
"""
self._check_initialization()
if should_be_running and not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
if verbose:
logger.info("Executing {" + self.bin_dir + "/hadoop " +
command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
return (proc.stdout, proc.stderr)
def execute_job(self, job, node=None, verbose=True):
"""Execute the given MapReduce job in the specified node.
Args:
job (HadoopJarJob):
The job object.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
verbose (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the job.
"""
self._check_initialization()
if not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
exec_dir = "/tmp"
# Copy necessary files to cluster
files_to_copy = job.get_files_to_copy()
action = Put([node], files_to_copy, exec_dir)
action.run()
# Get command
command = job.get_command(exec_dir)
# Execute
logger.info("Executing jar job. Command = {" + self.bin_dir +
"/hadoop " + command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
# Get job info
job.stdout = proc.stdout
job.stderr = proc.stderr
job.success = (proc.exit_code == 0)
for line in job.stdout.splitlines():
if "Running job" in line:
if "mapred.JobClient" in line or "mapreduce.Job" in line:
# TODO: more possible formats?
try:
match = re.match('.*Running job: (.*)', line)
job.job_id = match.group(1)
break
except:
pass
return (proc.stdout, proc.stderr)
def copy_history(self, dest, job_ids=None):
"""Copy history logs from master.
Args:
dest (str):
The path of the local dir where the logs will be copied.
job_ids (list of str, optional):
A list with the ids of the jobs for which the history should be
copied. If nothing is passed, the history of all jobs is copied.
"""
if not os.path.exists(dest):
logger.warning("Destination directory " + dest +
" does not exist. It will be created")
os.makedirs(dest)
history_dir = os.path.join(self.logs_dir, "history")
if job_ids:
pattern = " -o ".join("-name " + jid + "*" for jid in job_ids)
list_dirs = SshProcess("find " + history_dir + " " + pattern,
self.master)
list_dirs.run()
else:
list_dirs = SshProcess("find " + history_dir + " -name job_*",
self.master)
list_dirs.run()
remote_files = []
for line in list_dirs.stdout.splitlines():
remote_files.append(line)
action = Get([self.master], remote_files, dest)
action.run()
def clean_history(self):
"""Remove history."""
logger.info("Cleaning history")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/history",
[self.master])
action.run()
if restart:
self.start()
def clean_conf(self):
"""Clean configuration files used by this cluster."""
shutil.rmtree(self.temp_conf_dir)
def clean_logs(self):
"""Remove all Hadoop logs."""
logger.info("Cleaning logs")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/*", self.hosts)
action.run()
if restart:
self.start()
def clean_data(self):
"""Remove all data created by Hadoop (including filesystem)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
logger.info("Cleaning hadoop data")
restart = False
if self.running:
self.stop()
restart = True
action = Remote("rm -rf " + self.hadoop_temp_dir + " /tmp/hadoop-" +
getpass.getuser() + "-*", self.hosts)
action.run()
if restart:
self.start()
def clean(self):
"""Remove all files created by Hadoop (logs, filesystem,
temporary files)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
self.clean_conf()
self.clean_logs()
self.clean_data()
self.initialized = False
def __force_clean(self):
"""Stop previous Hadoop processes (if any) and remove all remote files
created by it."""
hadoop_processes = [
"DataNode",
"SecondaryNameNode",
"JobTracker",
"TaskTracker",
"NameNode"
]
force_kill = False
for h in self.hosts:
proc = SshProcess("jps", self.master)
proc.run()
ids_to_kill = []
for line in proc.stdout.splitlines():
field = line.split()
if field[1] in hadoop_processes:
ids_to_kill.append(field[0])
if ids_to_kill:
force_kill = True
ids_to_kill_str = ""
for pid in ids_to_kill:
ids_to_kill_str += " " + pid
proc = SshProcess("kill -9" + ids_to_kill_str, h)
proc.run()
if force_kill:
logger.info(
"Processes from previous hadoop deployments had to be killed")
self.clean_logs()
self.clean_data()
def get_version(self):
"""Return the Hadoop version.
Returns (str):
The version used by the Hadoop cluster.
"""
proc = SshProcess("export JAVA_HOME=" + self.java_home + ";" +
self.bin_dir + "/hadoop version",
self.master)
proc.run()
version = proc.stdout.splitlines()[0]
return version
class HadoopCluster(object):
"""This class manages the whole life-cycle of a Hadoop cluster.
HadoopCluster defines the default behavior of a Hadoop Cluster and is
designed to work with Hadoop 0.* and Hadoop 1.*. For Hadoop 2.* the subclass
HadoopV2Cluster should be used instead.
Attributes:
master (Host):
The host selected as the master. It runs the NameNode and
JobTracker.
hosts (list of Hosts):
List of hosts composing the cluster. All run DataNode and TaskTracker
processes.
topology (HadoopTopology):
The topology of the cluster hosts.
initialized (bool):
True if the cluster has been initialized, False otherwise.
running (bool):
True if both the NameNode and JobTracker are running, False otherwise.
running_dfs (bool):
True if the NameNode is running, False otherwise.
running_map_reduce (bool):
True if the JobTracker is running, False otherwise.
"""
@staticmethod
def get_cluster_type():
return "hadoop"
# Cluster state
initialized = False
running = False
running_dfs = False
running_map_reduce = False
# Default properties
defaults = {
"hadoop_base_dir": DEFAULT_HADOOP_BASE_DIR,
"hadoop_conf_dir": DEFAULT_HADOOP_CONF_DIR,
"hadoop_logs_dir": DEFAULT_HADOOP_LOGS_DIR,
"hadoop_temp_dir": DEFAULT_HADOOP_TEMP_DIR,
"hdfs_port": str(DEFAULT_HADOOP_HDFS_PORT),
"mapred_port": str(DEFAULT_HADOOP_MR_PORT),
"local_base_conf_dir": DEFAULT_HADOOP_LOCAL_CONF_DIR
}
def __init__(self, hosts, topo_list=None, config_file=None):
"""Create a new Hadoop cluster with the given hosts and topology.
Args:
hosts (list of Host):
The hosts to be assigned a topology.
topo_list (list of str, optional):
The racks to be assigned to each host. len(hosts) should be equal to
len(topo_list).
configFile (str, optional):
The path of the config file to be used.
"""
# Load properties
config = ConfigParser(self.defaults)
config.add_section("cluster")
config.add_section("local")
if config_file:
config.readfp(open(config_file))
# Deployment properties
self.local_base_conf_dir = config.get("local", "local_base_conf_dir")
self.init_conf_dir = tempfile.mkdtemp("", "hadoop-init-", "/tmp")
self.conf_mandatory_files = [CORE_CONF_FILE,
HDFS_CONF_FILE,
MR_CONF_FILE]
# Node properties
self.base_dir = config.get("cluster", "hadoop_base_dir")
self.conf_dir = config.get("cluster", "hadoop_conf_dir")
self.logs_dir = config.get("cluster", "hadoop_logs_dir")
self.hadoop_temp_dir = config.get("cluster", "hadoop_temp_dir")
self.hdfs_port = config.getint("cluster", "hdfs_port")
self.mapred_port = config.getint("cluster", "mapred_port")
self.bin_dir = self.base_dir + "/bin"
self.sbin_dir = self.base_dir + "/bin"
self.java_home = None
# Configure master and slaves
self.hosts = list(hosts)
self.master = self.hosts[0]
# Create topology
self.topology = HadoopTopology(hosts, topo_list)
# Store cluster information
self.hw = G5kDeploymentHardware()
self.hw.add_hosts(self.hosts)
self.master_cluster = self.hw.get_cluster(get_host_cluster(self.master))
# Create a string to display the topology
t = {v: [] for v in self.topology.topology.values()}
for key, value in self.topology.topology.iteritems():
t[value].append(key.address)
log_topo = ', '.join([style.user2(k) + ': ' +
' '.join(map(lambda x: style.host(x.split('.')[0]), v))
for k, v in t.iteritems()])
logger.info("Hadoop cluster created with master %s, hosts %s and topology %s",
style.host(self.master.address),
' '.join([style.host(h.address.split('.')[0]) for h in self.hosts]),
log_topo)
def bootstrap(self, tar_file):
"""Install Hadoop in all cluster nodes from the specified tar.gz file.
Args:
tar_file (str):
The file containing Hadoop binaries.
"""
# 0. Check requirements
java_major_version = 7
if not check_java_version(java_major_version, self.hosts):
msg = "Java 1.%d+ required" % java_major_version
logger.error(msg)
raise HadoopException(msg)
self.java_home = get_java_home(self.master)
# 1. Copy hadoop tar file and uncompress
logger.info("Copy " + tar_file + " to hosts and uncompress")
rm_dirs = TaktukRemote("rm -rf " + self.base_dir +
" " + self.conf_dir +
" " + self.logs_dir +
" " + self.hadoop_temp_dir,
self.hosts)
put_tar = TaktukPut(self.hosts, [tar_file], "/tmp")
tar_xf = TaktukRemote(
"tar xf /tmp/" + os.path.basename(tar_file) + " -C /tmp",
self.hosts)
rm_tar = TaktukRemote(
"rm /tmp/" + os.path.basename(tar_file),
self.hosts)
SequentialActions([rm_dirs, put_tar, tar_xf, rm_tar]).run()
# 2. Move installation to base dir and create other dirs
logger.info("Create installation directories")
mv_base_dir = TaktukRemote(
"mv /tmp/" +
os.path.basename(tar_file).replace(".tar.gz", "") + " " +
self.base_dir,
self.hosts)
mkdirs = TaktukRemote("mkdir -p " + self.conf_dir +
" && mkdir -p " + self.logs_dir +
" && mkdir -p " + self.hadoop_temp_dir,
self.hosts)
chmods = TaktukRemote("chmod g+w " + self.base_dir +
" && chmod g+w " + self.conf_dir +
" && chmod g+w " + self.logs_dir +
" && chmod g+w " + self.hadoop_temp_dir,
self.hosts)
SequentialActions([mv_base_dir, mkdirs, chmods]).run()
# 4. Specify environment variables
command = "cat >> " + self.conf_dir + "/hadoop-env.sh << EOF\n"
command += "export JAVA_HOME=" + self.java_home + "\n"
command += "export HADOOP_LOG_DIR=" + self.logs_dir + "\n"
command += "HADOOP_HOME_WARN_SUPPRESS=\"TRUE\"\n"
command += "EOF"
action = Remote(command, self.hosts)
action.run()
# 5. Check version (cannot do it before)
if not self._check_version_compliance():
return False
# 6. Generate initial configuration
self._initialize_conf()
return True
def _initialize_conf(self):
"""Merge locally-specified configuration files with default files
from the distribution."""
if os.path.exists(self.local_base_conf_dir):
base_conf_files = [os.path.join(self.local_base_conf_dir, f)
for f in os.listdir(self.local_base_conf_dir)]
for f in base_conf_files:
shutil.copy(f, self.init_conf_dir)
else:
logger.warn(
"Local conf dir does not exist. Using default configuration")
base_conf_files = []
missing_conf_files = self.conf_mandatory_files
for f in base_conf_files:
f_base_name = os.path.basename(f)
if f_base_name in missing_conf_files:
missing_conf_files.remove(f_base_name)
logger.info("Copying missing conf files from master: " + str(
missing_conf_files))
remote_missing_files = [os.path.join(self.conf_dir, f)
for f in missing_conf_files]
action = Get([self.master], remote_missing_files, self.init_conf_dir)
action.run()
def _check_version_compliance(self):
if self.get_major_version() >= 2:
logger.error("Version of HadoopCluster is not compliant with the "
"distribution provided in the bootstrap option. Use "
"the appropriate parameter for --version when "
"creating the cluster or use another distribution.")
return False
else:
return True
def _check_initialization(self):
""" Check whether the cluster is initialized and raise and exception if
not.
Raises:
HadoopNotInitializedException:
If self.initialized = False
"""
if not self.initialized:
logger.error("The cluster should be initialized")
raise HadoopNotInitializedException(
"The cluster should be initialized")
def initialize(self, default_tuning=False):
"""Initialize the cluster: copy base configuration and format DFS."""
self._pre_initialize()
logger.info("Initializing hadoop")
# Set basic configuration
temp_conf_base_dir = tempfile.mkdtemp("", "hadoop-", "/tmp")
temp_conf_dir = os.path.join(temp_conf_base_dir, "conf")
shutil.copytree(self.init_conf_dir, temp_conf_dir)
self._create_master_and_slave_conf(temp_conf_dir)
self.topology.create_files(temp_conf_dir)
self._configure_servers(temp_conf_dir, default_tuning)
shutil.rmtree(temp_conf_base_dir)
# Format HDFS
self.format_dfs()
self.initialized = True
def _pre_initialize(self):
"""Clean previous configurations"""
if self.initialized:
if self.running:
self.stop()
self.clean()
else:
self.__force_clean()
self.initialized = False
def _create_master_and_slave_conf(self, conf_dir):
"""Create master and slaves configuration files."""
with open(conf_dir + "/masters", "w") as master_file:
master_file.write(self.master.address + "\n")
with open(conf_dir + "/slaves", "w") as slaves_file:
for s in self.hosts:
slaves_file.write(s.address + "\n")
def _configure_servers(self, conf_dir, default_tuning=False):
"""Configure servers and host-dependant parameters.
Args:
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
if default_tuning:
logger.info("Default tuning. Beware that this configuration is not"
"guaranteed to be optimal for all scenarios.")
# Get cluster-dependent params
params = self._get_cluster_params(conf_dir, default_tuning)
logger.info("Params = " + str(params))
# Set common configuration
self._set_common_params(params, conf_dir, default_tuning)
# Set cluster-dependent configuration and copy back to hosts
for cluster in self.hw.get_clusters():
# Create a new dir
cl_temp_conf_base_dir = tempfile.mkdtemp("", "hadoop-cl-", "/tmp")
cl_temp_conf_dir = os.path.join(cl_temp_conf_base_dir, "conf")
shutil.copytree(conf_dir, cl_temp_conf_dir)
# Replace params in conf files
self._set_cluster_params(cluster, params, cl_temp_conf_dir,
default_tuning)
# Copy to hosts and remove temp dir
hosts = cluster.get_hosts()
self._copy_conf(cl_temp_conf_dir, hosts)
shutil.rmtree(cl_temp_conf_base_dir)
def _get_cluster_params(self, conf_dir, default_tuning=False):
"""Define host-dependant parameters.
Args:
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
min_slot_mem = 200
params = {}
for cluster in self.hw.get_clusters():
num_cores = cluster.get_num_cores()
available_mem = cluster.get_memory()
mr_memory_mb = available_mem - 2 * 1024
mem_per_slot_mb = max(min_slot_mem,
mr_memory_mb / (num_cores - 1))
map_slots = num_cores - 1
red_slots = num_cores - 1
cluster_params = {
"mem_per_slot_mb": mem_per_slot_mb,
"map_slots": map_slots,
"red_slots": red_slots
}
if default_tuning:
io_sort_mb = max(100, mem_per_slot_mb / 2)
io_sort_factor = max(10, io_sort_mb / 10)
cluster_params.update({
"io_sort_mb": io_sort_mb,
"io_sort_factor": io_sort_factor
})
params[cluster.get_name()] = cluster_params
return params
def _set_common_params(self, params, conf_dir, default_tuning=False):
"""Replace common parameters. Some user-specified values are
overwritten.
Args:
params (str):
Already defined parameters over all the clusters.
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
core_file = os.path.join(conf_dir, CORE_CONF_FILE)
mr_file = os.path.join(conf_dir, MR_CONF_FILE)
replace_in_xml_file(core_file,
"fs.default.name",
"hdfs://%s:%d/" % (self.master.address,
self.hdfs_port),
create_if_absent=True)
replace_in_xml_file(core_file,
"hadoop.tmp.dir",
self.hadoop_temp_dir,
create_if_absent=True)
replace_in_xml_file(core_file,
"topology.script.file.name",
self.conf_dir + "/topo.sh",
create_if_absent=True)
replace_in_xml_file(mr_file,
"mapred.job.tracker",
"%s:%d" % (self.master.address, self.mapred_port),
create_if_absent=True)
def _set_cluster_params(self, cluster, params,
conf_dir, default_tuning=False):
"""Replace cluster-dependent parameters.
Args:
cluster (PhysicalCluster):
The PhysicalCluster object to take into account in the
configuration.
params (str):
Already defined parameters over all the clusters.
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
cname = cluster.get_name()
mem_per_slot_mb = params[cname]["mem_per_slot_mb"]
map_slots = params[cname]["map_slots"]
red_slots = params[cname]["red_slots"]
if default_tuning:
mr_file = os.path.join(conf_dir, MR_CONF_FILE)
replace_in_xml_file(mr_file,
"mapred.tasktracker.map.tasks.maximum",
str(map_slots),
create_if_absent=True,
replace_if_present=False)
replace_in_xml_file(mr_file,
"mapred.tasktracker.reduce.tasks.maximum",
str(red_slots),
create_if_absent=True,
replace_if_present=False)
replace_in_xml_file(mr_file,
"mapred.child.java.opts",
"-Xmx%dm" % mem_per_slot_mb,
create_if_absent=True,
replace_if_present=False)
def _copy_conf(self, conf_dir, hosts=None):
"""Copy configuration files from given dir to remote dir in cluster
hosts.
Args:
conf_dir (str):
The remote configuration dir.
hosts (list of Host, optional):
The list of hosts where the configuration is going to be copied. If
not specified, all the hosts of the Hadoop cluster are used.
"""
if not hosts:
hosts = self.hosts
conf_files = [os.path.join(conf_dir, f) for f in os.listdir(conf_dir)]
action = TaktukPut(hosts, conf_files, self.conf_dir)
action.run()
if not action.finished_ok:
logger.warn("Error while copying configuration")
if not action.ended:
action.kill()
def change_conf(self, params, conf_file=None, default_file=MR_CONF_FILE):
"""Modify Hadoop configuration. This method copies the configuration
files from the first host of each g5k cluster conf dir into a local
temporary dir, do all the changes in place and broadcast the new
configuration files to all hosts.
Args:
params (dict of str:str):
The parameters to be changed in the form key:value.
conf_file (str, optional):
The file where parameters should be set. If not specified, all
files are checked for the parameter name and the parameter is set
in the file where the property is found. If not found, the
parameter is set in the default file.
default_file (str, optional): The default conf file where to set the
parameter if not found. Only applies when conf_file is not set.
"""
for cluster in self.hw.get_clusters():
hosts = cluster.get_hosts()
# Copy conf files from first host in the cluster
action = Remote("ls " + self.conf_dir + "/*.xml", [hosts[0]])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([hosts[0]], remote_conf_files, tmp_dir)
action.run()
# Do replacements in temp file
if conf_file:
f = os.path.join(tmp_dir, conf_file)
for name, value in params.iteritems():
replace_in_xml_file(f, name, value, True)
else:
temp_conf_files = [os.path.join(tmp_dir, f) for f in
os.listdir(tmp_dir)]
for name, value in params.iteritems():
for f in temp_conf_files:
if replace_in_xml_file(f, name, value):
break
else:
# Property not found - add it in MR_CONF_FILE
logger.info("Parameter with name " + name + " has not "
"been found in any conf file. Setting it "
"in " + default_file)
f = os.path.join(tmp_dir, default_file)
replace_in_xml_file(f, name, value, True)
# Copy back the files to all hosts
self._copy_conf(tmp_dir, hosts)
def _get_conf_files(self, host):
action = Remote("ls " + self.conf_dir + "/*.xml", [host])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([host], remote_conf_files, tmp_dir)
action.run()
temp_conf_files = [os.path.join(tmp_dir, f) for f in
os.listdir(tmp_dir)]
return temp_conf_files
def get_conf_param(self, param_name, default=None, node=None):
# Copy conf files from first host in the cluster
if node is None:
node = self.hosts[0]
temp_conf_files = self._get_conf_files(node)
# Look in conf files
for f in temp_conf_files:
value = read_param_in_xml_file(f, param_name)
if value:
return value
return default
def get_conf(self, param_names, node=None):
params = {}
remaining_param_names = set(param_names)
# Copy conf files from first host in the cluster
if node is None:
node = self.hosts[0]
temp_conf_files = self._get_conf_files(node)
# Look in conf files
for f in temp_conf_files:
fparams = read_in_xml_file(f, remaining_param_names)
for p in fparams:
if fparams[p]:
params[p] = fparams[p]
remaining_param_names.discard(p)
return params
def format_dfs(self):
"""Format the distributed filesystem."""
logger.info("Formatting HDFS")
proc = SshProcess(self.bin_dir + "/hadoop namenode -format",
self.master)
proc.run()
if proc.finished_ok:
logger.info("HDFS formatted successfully")
else:
logger.warn("Error while formatting HDFS")
def start(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers."""
self._check_initialization()
self.start_dfs()
self.start_map_reduce()
self.running = True
def start_and_wait(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers. Wait for them to exit safemode before continuing."""
self._check_initialization()
self.start_dfs_and_wait()
self.start_map_reduce_and_wait()
self.running = True
def start_dfs(self):
"""Start the NameNode and DataNodes."""
self._check_initialization()
logger.info("Starting HDFS")
if self.running_dfs:
logger.warn("Dfs was already started")
return
proc = SshProcess(self.sbin_dir + "/start-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
def start_dfs_and_wait(self):
"""Start the NameNode and DataNodes and wait for exiting safemode."""
self._check_initialization()
self.start_dfs()
logger.info("Waiting for safe mode to be off")
proc = SshProcess(self.bin_dir + "/hadoop dfsadmin -safemode wait",
self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
if self.running_map_reduce:
self.running = True
def start_map_reduce(self):
"""Start the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Starting MapReduce")
if self.running_map_reduce:
logger.warn("Error while starting MapReduce")
return
proc = SshProcess(self.sbin_dir + "/start-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.info("MapReduce started successfully")
else:
self.running_map_reduce = True
if self.running_dfs:
self.running = True
def start_map_reduce_and_wait(self):
"""Start the JobTracker and TaskTrackers and wait for exiting safemode.
"""
self._check_initialization()
self.start_map_reduce()
# logger.info("Waiting for safe mode to be off")
# proc = SshProcess(self.hadoop_base_dir +
# "/bin/hadoop mradmin -safemode wait",
# self.master)
# proc.run()
# TODO - does the jobtracker enter safemode?
def stop(self):
"""Stop the Jobtracker and TaskTracekrs and then the NameNode and
DataNodes."""
self._check_initialization()
self.stop_map_reduce()
self.stop_dfs()
self.running = False
def stop_dfs(self):
"""Stop the NameNode and DataNodes."""
self._check_initialization()
logger.info("Stopping HDFS")
proc = SshProcess(self.sbin_dir + "/stop-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping HDFS")
else:
self.running_dfs = False
def stop_map_reduce(self):
"""Stop the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Stopping MapReduce")
proc = SshProcess(self.sbin_dir + "/stop-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping MapReduce")
else:
self.running_map_reduce = False
def execute(self, command, node=None, should_be_running=True,
verbose=True):
"""Execute the given Hadoop command in the given node.
Args:
command (str):
The command to be executed.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
should_be_running (bool, optional):
True if the cluster needs to be running in order to execute the
command. If so, and it is not running, it is automatically started.
verbose: (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the command.
"""
self._check_initialization()
if should_be_running and not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
if verbose:
logger.info("Executing {" + self.bin_dir + "/hadoop " +
command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
return proc.stdout, proc.stderr
def execute_job(self, job, node=None, verbose=True):
"""Execute the given MapReduce job in the specified node.
Args:
job (HadoopJarJob):
The job object.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
verbose (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the job.
"""
self._check_initialization()
if not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
exec_dir = "/tmp"
# Copy necessary files to cluster
files_to_copy = job.get_files_to_copy()
action = Put([node], files_to_copy, exec_dir)
action.run()
# Get command
command = job.get_command(exec_dir)
# Execute
logger.info("Executing jar job. Command = {" + self.bin_dir +
"/hadoop " + command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
# Get job info
job.stdout = proc.stdout
job.stderr = proc.stderr
job.success = (proc.exit_code == 0)
for line in job.stdout.splitlines():
if "Running job" in line:
if "mapred.JobClient" in line or "mapreduce.Job" in line:
# TODO: more possible formats?
try:
match = re.match('.*Running job: (.*)', line)
job.job_id = match.group(1)
break
except:
pass
return proc.stdout, proc.stderr
def copy_history(self, dest, job_ids=None):
"""Copy history logs from master.
Args:
dest (str):
The path of the local dir where the logs will be copied.
job_ids (list of str, optional):
A list with the ids of the jobs for which the history should be
copied. If nothing is passed, the history of all jobs is copied.
"""
if not os.path.exists(dest):
logger.warning("Destination directory " + dest +
" does not exist. It will be created")
os.makedirs(dest)
history_dir = os.path.join(self.logs_dir, "history")
if job_ids:
pattern = " -o ".join("-name " + jid + "*" for jid in job_ids)
list_dirs = SshProcess("find " + history_dir + " " + pattern,
self.master)
list_dirs.run()
else:
list_dirs = SshProcess("find " + history_dir + " -name job_*",
self.master)
list_dirs.run()
remote_files = []
for line in list_dirs.stdout.splitlines():
remote_files.append(line)
action = Get([self.master], remote_files, dest)
action.run()
def clean_history(self):
"""Remove history."""
logger.info("Cleaning history")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/history",
[self.master])
action.run()
if restart:
self.start()
def clean_conf(self):
"""Clean configuration files used by this cluster."""
pass
#shutil.rmtree(self.temp_conf_dir)
def clean_logs(self):
"""Remove all Hadoop logs."""
logger.info("Cleaning logs")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/*", self.hosts)
action.run()
if restart:
self.start()
def clean_data(self):
"""Remove all data created by Hadoop (including filesystem)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
logger.info("Cleaning hadoop data")
restart = False
if self.running:
self.stop()
restart = True
action = Remote("rm -rf " + self.hadoop_temp_dir + " /tmp/hadoop-" +
getpass.getuser() + "-*", self.hosts)
action.run()
if restart:
self.start()
def clean(self):
"""Remove all files created by Hadoop (logs, filesystem,
temporary files)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
self.clean_conf()
self.clean_logs()
self.clean_data()
self.initialized = False
def __force_clean(self):
"""Stop previous Hadoop processes (if any) and remove all remote files
created by it."""
hadoop_processes = [
"DataNode",
"SecondaryNameNode",
"JobTracker",
"TaskTracker",
"NameNode"
]
force_kill = False
for h in self.hosts:
proc = SshProcess("jps", self.master)
proc.run()
ids_to_kill = []
for line in proc.stdout.splitlines():
field = line.split()
if field[1] in hadoop_processes:
ids_to_kill.append(field[0])
if ids_to_kill:
force_kill = True
ids_to_kill_str = ""
for pid in ids_to_kill:
ids_to_kill_str += " " + pid
proc = SshProcess("kill -9" + ids_to_kill_str, h)
proc.run()
if force_kill:
logger.info(
"Processes from previous hadoop deployments had to be killed")
self.clean_logs()
self.clean_data()
def get_version(self):
"""Return the Hadoop version.
Returns (str):
The version used by the Hadoop cluster.
"""
proc = SshProcess("export JAVA_HOME=" + self.java_home + ";" +
self.bin_dir + "/hadoop version",
self.master)
proc.run()
version = proc.stdout.splitlines()[0]
return version
def get_major_version(self):
str_version = self.get_version()
match = re.match('Hadoop ([0-9]).*', str_version)
return int(match.group(1))
def __str__(self):
if self.initialized:
if self.running:
state = "running"
else:
state = "initialized"
else:
state = "not initialized"
node_info = ", ".join(["%s:%d" % (c.get_name(), len(c.get_hosts()))
for c in self.hw.get_clusters()])
return "%s([%s], %s)" % (
type(self).__name__,
node_info,
state
)
class HadoopCluster(object):
"""This class manages the whole life-cycle of a Hadoop cluster.
HadoopCluster defines the default behavior of a Hadoop Cluster and is
designed to work with Hadoop 0.* and Hadoop 1.*. For Hadoop 2.* the subclass
HadoopV2Cluster should be used instead.
Attributes:
master (Host):
The host selected as the master. It runs the NameNode and
JobTracker.
hosts (list of Hosts):
List of hosts composing the cluster. All run DataNode and TaskTracker
processes.
topology (HadoopTopology):
The topology of the cluster hosts.
initialized (bool):
True if the cluster has been initialized, False otherwise.
running (bool):
True if both the NameNode and JobTracker are running, False otherwise.
running_dfs (bool):
True if the NameNode is running, False otherwise.
running_map_reduce (bool):
True if the JobTracker is running, False otherwise.
"""
@staticmethod
def get_cluster_type():
return "hadoop"
# Cluster state
initialized = False
running = False
running_dfs = False
running_map_reduce = False
# Default properties
defaults = {
"hadoop_base_dir": DEFAULT_HADOOP_BASE_DIR,
"hadoop_conf_dir": DEFAULT_HADOOP_CONF_DIR,
"hadoop_logs_dir": DEFAULT_HADOOP_LOGS_DIR,
"hadoop_temp_dir": DEFAULT_HADOOP_TEMP_DIR,
"hdfs_port": str(DEFAULT_HADOOP_HDFS_PORT),
"mapred_port": str(DEFAULT_HADOOP_MR_PORT),
"local_base_conf_dir": DEFAULT_HADOOP_LOCAL_CONF_DIR
}
def __init__(self, hosts, topo_list=None, config_file=None):
"""Create a new Hadoop cluster with the given hosts and topology.
Args:
hosts (list of Host):
The hosts to be assigned a topology.
topo_list (list of str, optional):
The racks to be assigned to each host. len(hosts) should be equal
to len(topo_list).
configFile (str, optional):
The path of the config file to be used.
"""
# Load properties
config = ConfigParser(self.defaults)
config.add_section("cluster")
config.add_section("local")
if config_file:
config.readfp(open(config_file))
# Deployment properties
self.local_base_conf_dir = config.get("local", "local_base_conf_dir")
self.init_conf_dir = tempfile.mkdtemp("", "hadoop-init-", "/tmp")
self.conf_mandatory_files = [
CORE_CONF_FILE, HDFS_CONF_FILE, MR_CONF_FILE
]
# Node properties
self.base_dir = config.get("cluster", "hadoop_base_dir")
self.conf_dir = config.get("cluster", "hadoop_conf_dir")
self.logs_dir = config.get("cluster", "hadoop_logs_dir")
self.hadoop_temp_dir = config.get("cluster", "hadoop_temp_dir")
self.hdfs_port = config.getint("cluster", "hdfs_port")
self.mapred_port = config.getint("cluster", "mapred_port")
self.bin_dir = self.base_dir + "/bin"
self.sbin_dir = self.base_dir + "/bin"
self.java_home = None
# Configure master and slaves
self.hosts = list(hosts)
self.master = self.hosts[0]
# Create topology
self.topology = HadoopTopology(hosts, topo_list)
# Store cluster information
self.hw = hw_manager.make_deployment_hardware()
self.hw.add_hosts(self.hosts)
self.master_cluster = self.hw.get_host_cluster(self.master)
# Create a string to display the topology
t = {v: [] for v in self.topology.topology.values()}
for key, value in self.topology.topology.iteritems():
t[value].append(key.address)
log_topo = ', '.join([
style.user2(k) + ': ' +
' '.join(map(lambda x: style.host(x.split('.')[0]), v))
for k, v in t.iteritems()
])
logger.info(
"Hadoop cluster created with master %s, hosts %s and "
"topology %s", style.host(self.master.address),
' '.join([style.host(h.address.split('.')[0])
for h in self.hosts]), log_topo)
def bootstrap(self, tar_file):
"""Install Hadoop in all cluster nodes from the specified tar.gz file.
Args:
tar_file (str):
The file containing Hadoop binaries.
"""
# 0. Check requirements
java_major_version = 7
if not check_java_version(java_major_version, self.hosts):
msg = "Java 1.%d+ required" % java_major_version
logger.error(msg)
raise HadoopException(msg)
self.java_home = get_java_home(self.master)
# 1. Copy hadoop tar file and uncompress
logger.info("Copy " + tar_file + " to hosts and uncompress")
rm_dirs = TaktukRemote(
"rm -rf " + self.base_dir + " " + self.conf_dir + " " +
self.logs_dir + " " + self.hadoop_temp_dir, self.hosts)
put_tar = TaktukPut(self.hosts, [tar_file], "/tmp")
tar_xf = TaktukRemote(
"tar xf /tmp/" + os.path.basename(tar_file) + " -C /tmp",
self.hosts)
rm_tar = TaktukRemote("rm /tmp/" + os.path.basename(tar_file),
self.hosts)
SequentialActions([rm_dirs, put_tar, tar_xf, rm_tar]).run()
# 2. Move installation to base dir and create other dirs
logger.info("Create installation directories")
mv_base_dir = TaktukRemote(
"mv /tmp/" + os.path.basename(tar_file).replace(".tar.gz", "") +
" " + self.base_dir, self.hosts)
mkdirs = TaktukRemote(
"mkdir -p " + self.conf_dir + " && mkdir -p " + self.logs_dir +
" && mkdir -p " + self.hadoop_temp_dir, self.hosts)
chmods = TaktukRemote(
"chmod g+w " + self.base_dir + " && chmod g+w " + self.conf_dir +
" && chmod g+w " + self.logs_dir + " && chmod g+w " +
self.hadoop_temp_dir, self.hosts)
SequentialActions([mv_base_dir, mkdirs, chmods]).run()
# 4. Specify environment variables
command = "cat >> " + self.conf_dir + "/hadoop-env.sh << EOF\n"
command += "export JAVA_HOME=" + self.java_home + "\n"
command += "export HADOOP_LOG_DIR=" + self.logs_dir + "\n"
command += "HADOOP_HOME_WARN_SUPPRESS=\"TRUE\"\n"
command += "EOF"
action = Remote(command, self.hosts)
action.run()
# 5. Check version (cannot do it before)
if not self._check_version_compliance():
return False
# 6. Generate initial configuration
self._initialize_conf()
return True
def _initialize_conf(self):
"""Merge locally-specified configuration files with default files
from the distribution."""
if os.path.exists(self.local_base_conf_dir):
base_conf_files = [
os.path.join(self.local_base_conf_dir, f)
for f in os.listdir(self.local_base_conf_dir)
]
for f in base_conf_files:
shutil.copy(f, self.init_conf_dir)
else:
logger.warn(
"Local conf dir does not exist. Using default configuration")
base_conf_files = []
missing_conf_files = self.conf_mandatory_files
for f in base_conf_files:
f_base_name = os.path.basename(f)
if f_base_name in missing_conf_files:
missing_conf_files.remove(f_base_name)
logger.info("Copying missing conf files from master: " +
str(missing_conf_files))
remote_missing_files = [
os.path.join(self.conf_dir, f) for f in missing_conf_files
]
action = Get([self.master], remote_missing_files, self.init_conf_dir)
action.run()
def _check_version_compliance(self):
if self.get_major_version() >= 2:
logger.error("Version of HadoopCluster is not compliant with the "
"distribution provided in the bootstrap option. Use "
"the appropriate parameter for --version when "
"creating the cluster or use another distribution.")
return False
else:
return True
def _check_initialization(self):
""" Check whether the cluster is initialized and raise and exception if
not.
Raises:
HadoopNotInitializedException:
If self.initialized = False
"""
if not self.initialized:
logger.error("The cluster should be initialized")
raise HadoopNotInitializedException(
"The cluster should be initialized")
def initialize(self, default_tuning=False):
"""Initialize the cluster: copy base configuration and format DFS."""
self._pre_initialize()
logger.info("Initializing hadoop")
# Set basic configuration
temp_conf_base_dir = tempfile.mkdtemp("", "hadoop-", "/tmp")
temp_conf_dir = os.path.join(temp_conf_base_dir, "conf")
shutil.copytree(self.init_conf_dir, temp_conf_dir)
self._create_master_and_slave_conf(temp_conf_dir)
self.topology.create_files(temp_conf_dir)
self._configure_servers(temp_conf_dir, default_tuning)
shutil.rmtree(temp_conf_base_dir)
# Format HDFS
self.format_dfs()
self.initialized = True
def _pre_initialize(self):
"""Clean previous configurations"""
if self.initialized:
if self.running:
self.stop()
self.clean()
else:
self.__force_clean()
self.initialized = False
def _create_master_and_slave_conf(self, conf_dir):
"""Create master and slaves configuration files."""
with open(conf_dir + "/masters", "w") as master_file:
master_file.write(self.master.address + "\n")
with open(conf_dir + "/slaves", "w") as slaves_file:
for s in self.hosts:
slaves_file.write(s.address + "\n")
def _configure_servers(self, conf_dir, default_tuning=False):
"""Configure servers and host-dependant parameters.
Args:
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
if default_tuning:
logger.info("Default tuning. Beware that this configuration is not"
"guaranteed to be optimal for all scenarios.")
# Get cluster-dependent params
params = self._get_cluster_params(conf_dir, default_tuning)
logger.info("Params = " + str(params))
# Set common configuration
self._set_common_params(params, conf_dir, default_tuning)
# Set cluster-dependent configuration and copy back to hosts
for cluster in self.hw.get_clusters():
# Create a new dir
cl_temp_conf_base_dir = tempfile.mkdtemp("", "hadoop-cl-", "/tmp")
cl_temp_conf_dir = os.path.join(cl_temp_conf_base_dir, "conf")
shutil.copytree(conf_dir, cl_temp_conf_dir)
# Replace params in conf files
self._set_cluster_params(cluster, params, cl_temp_conf_dir,
default_tuning)
# Copy to hosts and remove temp dir
hosts = cluster.get_hosts()
self._copy_conf(cl_temp_conf_dir, hosts)
shutil.rmtree(cl_temp_conf_base_dir)
def _get_cluster_params(self, conf_dir, default_tuning=False):
"""Define host-dependant parameters.
Args:
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
min_slot_mem = 200
params = {}
for cluster in self.hw.get_clusters():
num_cores = cluster.get_num_cores()
available_mem = cluster.get_memory()
mr_memory_mb = available_mem - 2 * 1024
mem_per_slot_mb = max(min_slot_mem, mr_memory_mb / (num_cores - 1))
map_slots = num_cores - 1
red_slots = num_cores - 1
cluster_params = {
"mem_per_slot_mb": mem_per_slot_mb,
"map_slots": map_slots,
"red_slots": red_slots
}
if default_tuning:
io_sort_mb = max(100, mem_per_slot_mb / 2)
io_sort_factor = max(10, io_sort_mb / 10)
cluster_params.update({
"io_sort_mb": io_sort_mb,
"io_sort_factor": io_sort_factor
})
params[cluster.get_name()] = cluster_params
return params
def _set_common_params(self, params, conf_dir, default_tuning=False):
"""Replace common parameters. Some user-specified values are
overwritten.
Args:
params (str):
Already defined parameters over all the clusters.
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
core_file = os.path.join(conf_dir, CORE_CONF_FILE)
mr_file = os.path.join(conf_dir, MR_CONF_FILE)
replace_in_xml_file(core_file,
"fs.default.name",
"hdfs://%s:%d/" %
(self.master.address, self.hdfs_port),
create_if_absent=True)
replace_in_xml_file(core_file,
"hadoop.tmp.dir",
self.hadoop_temp_dir,
create_if_absent=True)
replace_in_xml_file(core_file,
"topology.script.file.name",
self.conf_dir + "/topo.sh",
create_if_absent=True)
replace_in_xml_file(mr_file,
"mapred.job.tracker",
"%s:%d" % (self.master.address, self.mapred_port),
create_if_absent=True)
def _set_cluster_params(self,
cluster,
params,
conf_dir,
default_tuning=False):
"""Replace cluster-dependent parameters.
Args:
cluster (PhysicalCluster):
The PhysicalCluster object to take into account in the
configuration.
params (str):
Already defined parameters over all the clusters.
conf_dir (str):
The path of the directory with the configuration files.
default_tuning (bool, optional):
Whether to use automatic tuning based on some best practices or
leave the default parameters.
"""
cname = cluster.get_name()
mem_per_slot_mb = params[cname]["mem_per_slot_mb"]
map_slots = params[cname]["map_slots"]
red_slots = params[cname]["red_slots"]
if default_tuning:
mr_file = os.path.join(conf_dir, MR_CONF_FILE)
replace_in_xml_file(mr_file,
"mapred.tasktracker.map.tasks.maximum",
str(map_slots),
create_if_absent=True,
replace_if_present=False)
replace_in_xml_file(mr_file,
"mapred.tasktracker.reduce.tasks.maximum",
str(red_slots),
create_if_absent=True,
replace_if_present=False)
replace_in_xml_file(mr_file,
"mapred.child.java.opts",
"-Xmx%dm" % mem_per_slot_mb,
create_if_absent=True,
replace_if_present=False)
def _copy_conf(self, conf_dir, hosts=None):
"""Copy configuration files from given dir to remote dir in cluster
hosts.
Args:
conf_dir (str):
The remote configuration dir.
hosts (list of Host, optional):
The list of hosts where the configuration is going to be copied. If
not specified, all the hosts of the Hadoop cluster are used.
"""
if not hosts:
hosts = self.hosts
conf_files = [os.path.join(conf_dir, f) for f in os.listdir(conf_dir)]
action = TaktukPut(hosts, conf_files, self.conf_dir)
action.run()
if not action.finished_ok:
logger.warn("Error while copying configuration")
if not action.ended:
action.kill()
def change_conf(self, params, conf_file=None, default_file=MR_CONF_FILE):
"""Modify Hadoop configuration. This method copies the configuration
files from the first host of each g5k cluster conf dir into a local
temporary dir, do all the changes in place and broadcast the new
configuration files to all hosts.
Args:
params (dict of str:str):
The parameters to be changed in the form key:value.
conf_file (str, optional):
The file where parameters should be set. If not specified, all
files are checked for the parameter name and the parameter is set
in the file where the property is found. If not found, the
parameter is set in the default file.
default_file (str, optional): The default conf file where to set the
parameter if not found. Only applies when conf_file is not set.
"""
for cluster in self.hw.get_clusters():
hosts = cluster.get_hosts()
# Copy conf files from first host in the cluster
action = Remote("ls " + self.conf_dir + "/*.xml", [hosts[0]])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([hosts[0]], remote_conf_files, tmp_dir)
action.run()
# Do replacements in temp file
if conf_file:
f = os.path.join(tmp_dir, conf_file)
for name, value in params.iteritems():
replace_in_xml_file(f, name, value, True)
else:
temp_conf_files = [
os.path.join(tmp_dir, f) for f in os.listdir(tmp_dir)
]
for name, value in params.iteritems():
for f in temp_conf_files:
if replace_in_xml_file(f, name, value):
break
else:
# Property not found - add it in MR_CONF_FILE
logger.info("Parameter with name " + name + " has not "
"been found in any conf file. Setting it "
"in " + default_file)
f = os.path.join(tmp_dir, default_file)
replace_in_xml_file(f, name, value, True)
# Copy back the files to all hosts
self._copy_conf(tmp_dir, hosts)
def _get_conf_files(self, host):
action = Remote("ls " + self.conf_dir + "/*.xml", [host])
action.run()
output = action.processes[0].stdout
remote_conf_files = []
for f in output.split():
remote_conf_files.append(os.path.join(self.conf_dir, f))
tmp_dir = "/tmp/mliroz_temp_hadoop/"
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
action = Get([host], remote_conf_files, tmp_dir)
action.run()
temp_conf_files = [
os.path.join(tmp_dir, f) for f in os.listdir(tmp_dir)
]
return temp_conf_files
def get_conf_param(self, param_name, default=None, node=None):
# Copy conf files from first host in the cluster
if node is None:
node = self.hosts[0]
temp_conf_files = self._get_conf_files(node)
# Look in conf files
for f in temp_conf_files:
value = read_param_in_xml_file(f, param_name)
if value:
return value
return default
def get_conf(self, param_names, node=None):
params = {}
remaining_param_names = set(param_names)
# Copy conf files from first host in the cluster
if node is None:
node = self.hosts[0]
temp_conf_files = self._get_conf_files(node)
# Look in conf files
for f in temp_conf_files:
fparams = read_in_xml_file(f, remaining_param_names)
for p in fparams:
if fparams[p]:
params[p] = fparams[p]
remaining_param_names.discard(p)
return params
def format_dfs(self):
"""Format the distributed filesystem."""
logger.info("Formatting HDFS")
proc = SshProcess(self.bin_dir + "/hadoop namenode -format",
self.master)
proc.run()
if proc.finished_ok:
logger.info("HDFS formatted successfully")
else:
logger.warn("Error while formatting HDFS")
def start(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers."""
self._check_initialization()
self.start_dfs()
self.start_map_reduce()
self.running = True
def start_and_wait(self):
"""Start the NameNode and DataNodes and then the JobTracker and
TaskTrackers. Wait for them to exit safemode before continuing."""
self._check_initialization()
self.start_dfs_and_wait()
self.start_map_reduce_and_wait()
self.running = True
def start_dfs(self):
"""Start the NameNode and DataNodes."""
self._check_initialization()
logger.info("Starting HDFS")
if self.running_dfs:
logger.warn("Dfs was already started")
return
proc = SshProcess(self.sbin_dir + "/start-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
def start_dfs_and_wait(self):
"""Start the NameNode and DataNodes and wait for exiting safemode."""
self._check_initialization()
self.start_dfs()
logger.info("Waiting for safe mode to be off")
proc = SshProcess(self.bin_dir + "/hadoop dfsadmin -safemode wait",
self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while starting HDFS")
else:
self.running_dfs = True
if self.running_map_reduce:
self.running = True
def start_map_reduce(self):
"""Start the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Starting MapReduce")
if self.running_map_reduce:
logger.warn("Error while starting MapReduce")
return
proc = SshProcess(self.sbin_dir + "/start-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.info("MapReduce started successfully")
else:
self.running_map_reduce = True
if self.running_dfs:
self.running = True
def start_map_reduce_and_wait(self):
"""Start the JobTracker and TaskTrackers and wait for exiting safemode.
"""
self._check_initialization()
self.start_map_reduce()
# logger.info("Waiting for safe mode to be off")
# proc = SshProcess(self.hadoop_base_dir +
# "/bin/hadoop mradmin -safemode wait",
# self.master)
# proc.run()
# TODO - does the jobtracker enter safemode?
def stop(self):
"""Stop the Jobtracker and TaskTracekrs and then the NameNode and
DataNodes."""
self._check_initialization()
self.stop_map_reduce()
self.stop_dfs()
self.running = False
def stop_dfs(self):
"""Stop the NameNode and DataNodes."""
self._check_initialization()
logger.info("Stopping HDFS")
proc = SshProcess(self.sbin_dir + "/stop-dfs.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping HDFS")
else:
self.running_dfs = False
def stop_map_reduce(self):
"""Stop the JobTracker and TaskTrackers."""
self._check_initialization()
logger.info("Stopping MapReduce")
proc = SshProcess(self.sbin_dir + "/stop-mapred.sh", self.master)
proc.run()
if not proc.finished_ok:
logger.warn("Error while stopping MapReduce")
else:
self.running_map_reduce = False
def execute(self,
command,
node=None,
should_be_running=True,
verbose=True):
"""Execute the given Hadoop command in the given node.
Args:
command (str):
The command to be executed.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
should_be_running (bool, optional):
True if the cluster needs to be running in order to execute the
command. If so, and it is not running, it is automatically started.
verbose: (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the command.
"""
self._check_initialization()
if should_be_running and not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
if verbose:
logger.info("Executing {" + self.bin_dir + "/hadoop " + command +
"} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
return proc.stdout, proc.stderr
def execute_job(self, job, node=None, verbose=True):
"""Execute the given MapReduce job in the specified node.
Args:
job (HadoopJarJob):
The job object.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
verbose (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the job.
"""
self._check_initialization()
if not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
exec_dir = "/tmp"
# Copy necessary files to cluster
files_to_copy = job.get_files_to_copy()
action = Put([node], files_to_copy, exec_dir)
action.run()
# Get command
command = job.get_command(exec_dir)
# Execute
logger.info("Executing jar job. Command = {" + self.bin_dir +
"/hadoop " + command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
# Get job info
job.stdout = proc.stdout
job.stderr = proc.stderr
job.success = (proc.exit_code == 0)
for line in job.stdout.splitlines():
if "Running job" in line:
if "mapred.JobClient" in line or "mapreduce.Job" in line:
# TODO: more possible formats?
try:
match = re.match('.*Running job: (.*)', line)
job.job_id = match.group(1)
break
except:
pass
return proc.stdout, proc.stderr
def copy_history(self, dest, job_ids=None):
"""Copy history logs from master.
Args:
dest (str):
The path of the local dir where the logs will be copied.
job_ids (list of str, optional):
A list with the ids of the jobs for which the history should be
copied. If nothing is passed, the history of all jobs is copied.
"""
if not os.path.exists(dest):
logger.warning("Destination directory " + dest +
" does not exist. It will be created")
os.makedirs(dest)
history_dir = os.path.join(self.logs_dir, "history")
if job_ids:
pattern = " -o ".join("-name " + jid + "*" for jid in job_ids)
list_dirs = SshProcess("find " + history_dir + " " + pattern,
self.master)
list_dirs.run()
else:
list_dirs = SshProcess("find " + history_dir + " -name job_*",
self.master)
list_dirs.run()
remote_files = []
for line in list_dirs.stdout.splitlines():
remote_files.append(line)
action = Get([self.master], remote_files, dest)
action.run()
def clean_history(self):
"""Remove history."""
logger.info("Cleaning history")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/history", [self.master])
action.run()
if restart:
self.start()
def clean_conf(self):
"""Clean configuration files used by this cluster."""
pass
#shutil.rmtree(self.temp_conf_dir)
def clean_logs(self):
"""Remove all Hadoop logs."""
logger.info("Cleaning logs")
restart = False
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
restart = True
action = Remote("rm -rf " + self.logs_dir + "/*", self.hosts)
action.run()
if restart:
self.start()
def clean_data(self):
"""Remove all data created by Hadoop (including filesystem)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
logger.info("Cleaning hadoop data")
restart = False
if self.running:
self.stop()
restart = True
action = Remote(
"rm -rf " + self.hadoop_temp_dir + " /tmp/hadoop-" +
getpass.getuser() + "-*", self.hosts)
action.run()
if restart:
self.start()
def clean(self):
"""Remove all files created by Hadoop (logs, filesystem,
temporary files)."""
if self.running:
logger.warn("The cluster needs to be stopped before cleaning.")
self.stop()
self.clean_conf()
self.clean_logs()
self.clean_data()
self.initialized = False
def __force_clean(self):
"""Stop previous Hadoop processes (if any) and remove all remote files
created by it."""
hadoop_processes = [
"DataNode", "SecondaryNameNode", "JobTracker", "TaskTracker",
"NameNode"
]
force_kill = False
for h in self.hosts:
proc = SshProcess("jps", self.master)
proc.run()
ids_to_kill = []
for line in proc.stdout.splitlines():
field = line.split()
if field[1] in hadoop_processes:
ids_to_kill.append(field[0])
if ids_to_kill:
force_kill = True
ids_to_kill_str = ""
for pid in ids_to_kill:
ids_to_kill_str += " " + pid
proc = SshProcess("kill -9" + ids_to_kill_str, h)
proc.run()
if force_kill:
logger.info(
"Processes from previous hadoop deployments had to be killed")
self.clean_logs()
self.clean_data()
def get_version(self):
"""Return the Hadoop version.
Returns (str):
The version used by the Hadoop cluster.
"""
proc = SshProcess(
"export JAVA_HOME=" + self.java_home + ";" + self.bin_dir +
"/hadoop version", self.master)
proc.run()
version = proc.stdout.splitlines()[0]
return version
def get_major_version(self):
str_version = self.get_version()
match = re.match('Hadoop ([0-9]).*', str_version)
return int(match.group(1))
def __str__(self):
if self.initialized:
if self.running:
state = "running"
else:
state = "initialized"
else:
state = "not initialized"
node_info = ", ".join([
"%s:%d" % (c.get_name(), len(c.get_hosts()))
for c in self.hw.get_clusters()
])
return "%s([%s], %s)" % (type(self).__name__, node_info, state)