def install(self, env):
import params
env.set_params(params)
self.install_packages(env)
install_hadoop()
def start(self, env):
import params
install_hadoop()
env.set_params(params)
self.configure(env)
service(action="start",
name="journalnode",
user=params.hdfs_user,
create_pid_dir=True,
create_log_dir=True)
def start(self, env):
import params
env.set_params(params)
install_hadoop()
self.configure(env)
Directory(params.ramdisk + '/hdfs/data',
create_parents=True,
mode=0751,
owner=params.hdfs_user,
group=params.user_group)
datanode(action="start")
def start(self, env):
import params
env.set_params(params)
install_hadoop()
self.configure(env)
hdfs_binary = self.get_hdfs_binary()
namenode(
action="start",
hdfs_binary=hdfs_binary,
upgrade_suspended=params.upgrade_suspended,
env=env)
def start_static(env):
import params
install_hadoop()
env.set_params(params)
ZkfcSlave.configure_static(env)
Directory(params.hadoop_pid_dir_prefix,
mode=0755,
owner=params.hdfs_user,
group=params.user_group)
# format the znode for this HA setup
# only run this format command if the active namenode hostname is set
# The Ambari UI HA Wizard prompts the user to run this command
# manually, so this guarantees it is only run in the Blueprints case
if params.dfs_ha_enabled and len(params.dfs_ha_namenode_active) > 0:
success = initialize_ha_zookeeper(params)
if not success:
raise Fail("Could not initialize HA state in zookeeper")
utils.service(action="start",
name="zkfc",
user=params.hdfs_user,
create_pid_dir=True,
create_log_dir=True)
def start(self, env):
import params
env.set_params(params)
self.configure(env)
install_hadoop()
observer_namenode(action="start")
def pre_upgrade_restart(self, env, upgrade_type=None):
install_hadoop()
def start(self, env):
install_hadoop()
self.start_static(env)
def start(self, env):
import params
env.set_params(params)
install_hadoop()
Execute(self.get_hdfs_binary() + ' --daemon start dfsrouter', user=params.hdfs_user)
def start(self, env):
import params
env.set_params(params)
install_hadoop()
Execute(params.hadoop_bin_dir + 'hadoop --daemon start kms', user=params.hdfs_user)
def start(self, env):
import params
env.set_params(params)
install_hadoop()
self.configure(env)
nfsgateway(action="start")
def start(self, env, upgrade_type=None):
import params
env.set_params(params)
install_hadoop()
