def start(self, env, upgrade_type=None):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.has_ranger_admin and params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
service('resourcemanager', action='start')
def start(self, env, rolling_restart=False):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.has_ranger_admin and params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
service('resourcemanager', action='start')
def start(self, env, upgrade_type=None):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.has_ranger_admin and params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
# wait for active-dir and done-dir to be created by ATS if needed
if params.has_ats:
Logger.info("Verifying DFS directories where ATS stores time line data for active and completed applications.")
self.wait_for_dfs_directories_created(params.entity_groupfs_store_dir, params.entity_groupfs_active_dir)
service('resourcemanager', action='start')
def start(self, env, upgrade_type=None):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.has_ranger_admin and params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
# wait for active-dir and done-dir to be created by ATS if needed
if params.has_ats:
Logger.info("Verifying DFS directories where ATS stores time line data for active and completed applications.")
self.wait_for_dfs_directories_created(params.entity_groupfs_store_dir, params.entity_groupfs_active_dir)
service('resourcemanager', action='start')
def start(self, env, rolling_restart=False):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.has_ranger_admin and params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
if not Script.is_hdp_stack_greater_or_equal("2.2"):
install_tez_jars()
else:
resource_created = copy_to_hdfs("tez", params.user_group,
params.hdfs_user)
if resource_created:
params.HdfsResource(None, action="execute")
service('resourcemanager', action='start')
def start(self, env, rolling_restart=False):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
if params.hdp_stack_version != "" and compare_versions(
params.hdp_stack_version, '2.1') == 0:
install_tez_jars()
else:
# will work only for stack versions >=2.2
copy_tarballs_to_hdfs('tez', 'hadoop-yarn-resourcemanager',
params.tez_user, params.hdfs_user,
params.user_group)
service('resourcemanager', action='start')
def start(self, env, rolling_restart=False):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
if not Script.is_hdp_stack_greater_or_equal("2.2"):
install_tez_jars()
else:
# will work only for stack versions >=2.2
params.HdfsResource(InlineTemplate(params.tez_tar_destination).get_content(),
type="file",
action="create_on_execute",
source=params.tez_tar_source,
group=params.user_group,
owner=params.hdfs_user
)
params.HdfsResource(None, action="execute")
service('resourcemanager', action='start')
def start(self, env, upgrade_type=None):
import params
env.set_params(params)
self.configure(env) # FOR SECURITY
if params.enable_ranger_yarn and params.is_supported_yarn_ranger:
setup_ranger_yarn() #Ranger Yarn Plugin related calls
# wait for active-dir and done-dir to be created by ATS if needed
if params.has_ats:
Logger.info("Verifying DFS directories where ATS stores time line data for active and completed applications.")
self.wait_for_dfs_directories_created(params.entity_groupfs_store_dir, params.entity_groupfs_active_dir)
if params.stack_version_formatted_major and check_stack_feature(StackFeature.COPY_TARBALL_TO_HDFS, params.stack_version_formatted_major):
# MC Hammer said, "Can't touch this"
resource_created = copy_to_hdfs(
"yarn",
params.user_group,
params.hdfs_user,
skip=params.sysprep_skip_copy_tarballs_hdfs) or resource_created
if resource_created:
params.HdfsResource(None, action="execute")
service('resourcemanager', action='start')
