def validate_existing_ng_scaling(cluster, existing):
scalable_processes = _get_scalable_processes()
dn_to_delete = 0
for ng in cluster.node_groups:
if ng.id in existing:
if ng.count > existing[ng.id] and "datanode" in ng.node_processes:
dn_to_delete += ng.count - existing[ng.id]
if not set(ng.node_processes).issubset(scalable_processes):
msg = ("Vanilla plugin cannot scale nodegroup "
"with processes: %s")
raise ex.NodeGroupCannotBeScaled(
ng.name, msg % ' '.join(ng.node_processes))
dn_amount = len(vu.get_datanodes(cluster))
rep_factor = c_helper.get_config_value('HDFS', 'dfs.replication', cluster)
if dn_to_delete > 0 and dn_amount - dn_to_delete < rep_factor:
msg = ("Vanilla plugin cannot shrink cluster because it would be not "
"enough nodes for replicas (replication factor is %s)")
raise ex.ClusterCannotBeScaled(cluster.name, msg % rep_factor)
def _validate_existing_ng_scaling(self, cluster, existing):
scalable_processes = self._get_scalable_processes()
dn_to_delete = 0
for ng in cluster.node_groups:
if ng.id in existing:
if ng.count > existing[ng.id] and ("datanode"
in ng.node_processes):
dn_to_delete += ng.count - existing[ng.id]
if not set(ng.node_processes).issubset(scalable_processes):
raise ex.NodeGroupCannotBeScaled(
ng.name,
_("Spark plugin cannot scale nodegroup"
" with processes: %s") % ' '.join(ng.node_processes))
dn_amount = len(utils.get_instances(cluster, "datanode"))
rep_factor = c_helper.get_config_value('HDFS', "dfs.replication",
cluster)
if dn_to_delete > 0 and dn_amount - dn_to_delete < rep_factor:
raise ex.ClusterCannotBeScaled(
cluster.name,
_("Spark plugin cannot shrink cluster because "
"there would be not enough nodes for HDFS "
"replicas (replication factor is %s)") % rep_factor)
def get_cluster_spec(self,
cluster,
user_inputs,
scaled_groups=None,
cluster_template=None):
if cluster_template:
cluster_spec = cs.ClusterSpec(cluster_template)
else:
if scaled_groups:
for ng in cluster.node_groups:
ng_id = ng['id']
if (ng_id in scaled_groups
and ng['count'] > scaled_groups[ng_id]):
raise ex.ClusterCannotBeScaled(
cluster.name,
_('The HDP plugin does not support '
'the decommissioning of nodes '
'for HDP version 1.3.2'))
cluster_spec = self.get_default_cluster_configuration()
cluster_spec.create_operational_config(cluster, user_inputs,
scaled_groups)
return cluster_spec
def validate_scaling(self, cluster, existing, additional):
raise ex.ClusterCannotBeScaled("Scaling Spark clusters has not been"
"implemented yet")