def get_configs(self, hadoop_version):
config_resource = cfg.ConfigurationProvider(
json.load(
open(
os.path.join(os.path.dirname(__file__), 'resources',
'ambari-config-resource.json'), "r")))
return config_resource.get_config_items()
def _get_blueprint_processor(self, cluster):
processor = bp.BlueprintProcessor(json.load(
open(os.path.join(os.path.dirname(__file__), 'resources',
'default-cluster.template'), "r")))
processor.process_user_inputs(self._map_to_user_inputs(
'1.3.0', cluster.cluster_configs))
processor.process_node_groups(cluster.node_groups)
return processor
def _get_blueprint_processor(self, cluster):
processor = bp.BlueprintProcessor(json.load(
open(os.path.join(os.path.dirname(__file__), 'resources',
'default-cluster.template'), "r")))
processor.process_user_inputs(self._map_to_user_inputs(
'1.3.0', cluster.cluster_configs))
processor.process_node_groups(cluster.node_groups)
return processor
def __init__(self, cluster_spec):
# TODO(jspeidel): get from stack config
self.hadoop_version = "1.3.0"
self.cluster_configs = []
self.node_groups = []
self.config = cfg.ConfigurationProvider(
json.load(open(os.path.join(os.path.dirname(__file__), "resources", "ambari-config-resource.json"), "r"))
)
self._parse_configurations(cluster_spec.configurations)
self._parse_node_groups(cluster_spec.node_groups)
def __init__(self, cluster_spec):
#TODO(jspeidel): get from stack config
self.hadoop_version = '1.3.0'
self.cluster_configs = []
self.node_groups = []
self.config = cfg.ConfigurationProvider(
json.load(
open(
os.path.join(os.path.dirname(__file__), 'resources',
'ambari-config-resource.json'), "r")))
self._parse_configurations(cluster_spec.configurations)
self._parse_node_groups(cluster_spec.node_groups)
def configure_cluster(self, cluster):
# take the user inputs from the cluster and node groups and convert
# to a ambari blueprint
processor = bp.BlueprintProcessor(json.load(
open(os.path.join(os.path.dirname(__file__), 'resources',
'default-cluster.template'), "r")))
processor.process_user_inputs(cluster.cluster_configs)
processor.process_node_groups(cluster.node_groups)
# NOTE: for the time being we are going to ignore the node group
# level configurations. we are not currently
# defining node level configuration items (i.e. scope='cluster' in
# all cases for returned configs)
#create a cloud context
#TODO(jmaron): is base host name really necessary any longer?
#cloud_ctx = ClusterContext(None, LOG)
#self._add_instances_to_cluster_context (cloud_ctx, cluster)
self.create_cluster(cluster, json.dumps(processor.blueprint))
def configure_cluster(self, cluster):
# take the user inputs from the cluster and node groups and convert
# to a ambari blueprint
processor = bp.BlueprintProcessor(
json.load(
open(
os.path.join(os.path.dirname(__file__), 'resources',
'default-cluster.template'), "r")))
processor.process_user_inputs(
self._map_to_user_inputs('1.3.0', cluster.cluster_configs))
processor.process_node_groups(cluster.node_groups)
# NOTE: for the time being we are going to ignore the node group
# level configurations. we are not currently
# defining node level configuration items (i.e. scope='cluster' in
# all cases for returned configs)
#create a cloud context
#TODO(jmaron): is base host name really necessary any longer?
#cloud_ctx = ClusterContext(None, LOG)
#self._add_instances_to_cluster_context (cloud_ctx, cluster)
self.create_cluster(cluster, json.dumps(processor.blueprint))
def get_configs(self, hadoop_version):
config_resource = cfg.ConfigurationProvider(
json.load(open(os.path.join(os.path.dirname(__file__), 'resources',
'ambari-config-resource.json'), "r")))
return config_resource.get_config_items()
