def get_next_ha_yarncluster():
"""
Return the next available YARN RM instance and cache its name.
"""
from hadoop.yarn import mapreduce_api
from hadoop.yarn import resource_manager_api
from hadoop.yarn.resource_manager_api import ResourceManagerApi
global MR_NAME_CACHE
has_ha = sum([conf.YARN_CLUSTERS[name].SUBMIT_TO.get() for name in conf.YARN_CLUSTERS.keys()]) >= 2
for name in conf.YARN_CLUSTERS.keys():
config = conf.YARN_CLUSTERS[name]
if config.SUBMIT_TO.get():
rm = ResourceManagerApi(config.RESOURCE_MANAGER_API_URL.get(), config.SECURITY_ENABLED.get(), config.SSL_CERT_CA_VERIFY.get())
rm.setuser(DEFAULT_USER)
if has_ha:
try:
cluster_info = rm.cluster()
if cluster_info['clusterInfo']['haState'] == 'ACTIVE':
MR_NAME_CACHE = name
LOG.warn('Picking RM HA: %s' % name)
resource_manager_api.API_CACHE = None # Reset cache
mapreduce_api.API_CACHE = None
return (config, rm)
else:
LOG.info('RM %s is not RUNNING, skipping it: %s' % (name, cluster_info))
except resource_manager_api.YarnFailoverOccurred:
LOG.info('RM %s has failed back to another server' % (name,))
except Exception, ex:
LOG.exception('RM %s is not available, skipping it: %s' % (name, ex))
else:
return (config, rm)
def get_next_ha_yarncluster():
"""
Return the next available YARN RM instance and cache its name.
"""
from hadoop.yarn import mapreduce_api
from hadoop.yarn import resource_manager_api
from hadoop.yarn.resource_manager_api import ResourceManagerApi
global MR_NAME_CACHE
has_ha = sum([conf.YARN_CLUSTERS[name].SUBMIT_TO.get() for name in conf.YARN_CLUSTERS.keys()]) >= 2
for name in conf.YARN_CLUSTERS.keys():
config = conf.YARN_CLUSTERS[name]
if config.SUBMIT_TO.get():
rm = ResourceManagerApi(config.RESOURCE_MANAGER_API_URL.get(), config.SECURITY_ENABLED.get(), config.SSL_CERT_CA_VERIFY.get())
rm.setuser(DEFAULT_USER)
if has_ha:
try:
cluster_info = rm.cluster()
if cluster_info['clusterInfo']['haState'] == 'ACTIVE':
MR_NAME_CACHE = name
LOG.warn('Picking RM HA: %s' % name)
resource_manager_api.API_CACHE = None # Reset cache
mapreduce_api.API_CACHE = None
return (config, rm)
else:
LOG.info('RM %s is not RUNNING, skipping it: %s' % (name, cluster_info))
except resource_manager_api.YarnFailoverOccurred:
LOG.info('RM %s has failed back to another server' % (name,))
except Exception, ex:
LOG.exception('RM %s is not available, skipping it: %s' % (name, ex))
else:
return (config, rm)
def get_next_ha_yarncluster(current_user=None):
"""
Return the next available YARN RM instance and cache its name.
"""
from hadoop.yarn.resource_manager_api import ResourceManagerApi
global MR_NAME_CACHE
has_ha = sum([
conf.YARN_CLUSTERS[name].SUBMIT_TO.get()
for name in list(conf.YARN_CLUSTERS.keys())
]) >= 2
for name in list(conf.YARN_CLUSTERS.keys()):
config = conf.YARN_CLUSTERS[name]
if config.SUBMIT_TO.get():
rm = ResourceManagerApi(config.RESOURCE_MANAGER_API_URL.get(),
config.SECURITY_ENABLED.get(),
config.SSL_CERT_CA_VERIFY.get())
if current_user is None:
rm.setuser(DEFAULT_USER)
else:
rm.setuser(current_user)
if has_ha:
try:
cluster_info = rm.cluster()
if cluster_info['clusterInfo']['haState'] == 'ACTIVE':
if name != MR_NAME_CACHE:
LOG.info('RM %s has failed back to %s server' %
(MR_NAME_CACHE, name))
rm.from_failover = True
MR_NAME_CACHE = name
LOG.warning('Picking RM HA: %s' % name)
return (config, rm)
else:
LOG.info('RM %s is not RUNNING, skipping it: %s' %
(name, cluster_info))
except Exception as ex:
LOG.exception('RM %s is not available, skipping it: %s' %
(name, ex))
else:
return (config, rm)
return None
