pvc/daemon-common/cluster.py

675 lines
25 KiB
Python

#!/usr/bin/env python3
# cluster.py - PVC client function library, cluster management
# Part of the Parallel Virtual Cluster (PVC) system
#
# Copyright (C) 2018-2022 Joshua M. Boniface <joshua@boniface.me>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
###############################################################################
from distutils.util import strtobool
from json import loads
import daemon_lib.common as common
import daemon_lib.faults as faults
import daemon_lib.node as pvc_node
def set_maintenance(zkhandler, maint_state):
current_maint_state = zkhandler.read("base.config.maintenance")
if maint_state == current_maint_state:
if maint_state == "true":
return True, "Cluster is already in maintenance mode"
else:
return True, "Cluster is already in normal mode"
if maint_state == "true":
zkhandler.write([("base.config.maintenance", "true")])
return True, "Successfully set cluster in maintenance mode"
else:
zkhandler.write([("base.config.maintenance", "false")])
return True, "Successfully set cluster in normal mode"
def getClusterHealthFromFaults(zkhandler, faults_list):
unacknowledged_faults = [fault for fault in faults_list if fault["status"] != "ack"]
# Generate total cluster health numbers
cluster_health_value = 100
cluster_health_messages = list()
for fault in sorted(
unacknowledged_faults,
key=lambda x: (x["health_delta"], x["last_reported"]),
reverse=True,
):
cluster_health_value -= fault["health_delta"]
message = {
"id": fault["id"],
"health_delta": fault["health_delta"],
"text": fault["message"],
}
cluster_health_messages.append(message)
if cluster_health_value < 0:
cluster_health_value = 0
cluster_health = {
"health": cluster_health_value,
"messages": cluster_health_messages,
}
return cluster_health
def getClusterHealth(zkhandler, node_list, vm_list, ceph_osd_list):
health_delta_map = {
"node_stopped": 50,
"node_flushed": 10,
"vm_stopped": 10,
"osd_out": 50,
"osd_down": 10,
"osd_full": 50,
"osd_nearfull": 10,
"memory_overprovisioned": 50,
"ceph_err": 50,
"ceph_warn": 10,
}
# Generate total cluster health numbers
cluster_health_value = 100
cluster_health_messages = list()
for index, node in enumerate(node_list):
# Apply node health values to total health number
try:
node_health_int = int(node["health"])
except Exception:
node_health_int = 100
cluster_health_value -= 100 - node_health_int
for entry in node["health_details"]:
if entry["health_delta"] > 0:
cluster_health_messages.append(
f"{node['name']}: plugin '{entry['name']}': {entry['message']}"
)
# Handle unhealthy node states
if node["daemon_state"] not in ["run"]:
cluster_health_value -= health_delta_map["node_stopped"]
cluster_health_messages.append(
f"cluster: Node {node['name']} in {node['daemon_state'].upper()} daemon state"
)
elif node["domain_state"] not in ["ready"]:
cluster_health_value -= health_delta_map["node_flushed"]
cluster_health_messages.append(
f"cluster: Node {node['name']} in {node['domain_state'].upper()} domain state"
)
for index, vm in enumerate(vm_list):
# Handle unhealthy VM states
if vm["state"] in ["stop", "fail"]:
cluster_health_value -= health_delta_map["vm_stopped"]
cluster_health_messages.append(
f"cluster: VM {vm['name']} in {vm['state'].upper()} state"
)
for index, ceph_osd in enumerate(ceph_osd_list):
in_texts = {1: "in", 0: "out"}
up_texts = {1: "up", 0: "down"}
# Handle unhealthy OSD states
if in_texts[ceph_osd["stats"]["in"]] not in ["in"]:
cluster_health_value -= health_delta_map["osd_out"]
cluster_health_messages.append(
f"cluster: Ceph OSD {ceph_osd['id']} in {in_texts[ceph_osd['stats']['in']].upper()} state"
)
elif up_texts[ceph_osd["stats"]["up"]] not in ["up"]:
cluster_health_value -= health_delta_map["osd_down"]
cluster_health_messages.append(
f"cluster: Ceph OSD {ceph_osd['id']} in {up_texts[ceph_osd['stats']['up']].upper()} state"
)
# Handle full or nearfull OSDs (>85%)
if ceph_osd["stats"]["utilization"] >= 90:
cluster_health_value -= health_delta_map["osd_full"]
cluster_health_messages.append(
f"cluster: Ceph OSD {ceph_osd['id']} is FULL ({ceph_osd['stats']['utilization']:.1f}% > 90%)"
)
elif ceph_osd["stats"]["utilization"] >= 85:
cluster_health_value -= health_delta_map["osd_nearfull"]
cluster_health_messages.append(
f"cluster: Ceph OSD {ceph_osd['id']} is NEARFULL ({ceph_osd['stats']['utilization']:.1f}% > 85%)"
)
# Check for (n-1) overprovisioning
# Assume X nodes. If the total VM memory allocation (counting only running VMss) is greater than
# the total memory of the (n-1) smallest nodes, trigger this warning.
n_minus_1_total = 0
alloc_total = 0
node_largest_index = None
node_largest_count = 0
for index, node in enumerate(node_list):
node_mem_total = node["memory"]["total"]
node_mem_alloc = node["memory"]["allocated"]
alloc_total += node_mem_alloc
# Determine if this node is the largest seen so far
if node_mem_total > node_largest_count:
node_largest_index = index
node_largest_count = node_mem_total
n_minus_1_node_list = list()
for index, node in enumerate(node_list):
if index == node_largest_index:
continue
n_minus_1_node_list.append(node)
for index, node in enumerate(n_minus_1_node_list):
n_minus_1_total += node["memory"]["total"]
if alloc_total > n_minus_1_total:
cluster_health_value -= health_delta_map["memory_overprovisioned"]
cluster_health_messages.append(
f"cluster: Total memory is OVERPROVISIONED ({alloc_total} > {n_minus_1_total} @ N-1)"
)
# Check Ceph cluster health
ceph_health = loads(zkhandler.read("base.storage.health"))
ceph_health_status = ceph_health["status"]
ceph_health_entries = ceph_health["checks"].keys()
ceph_health_status_map = {
"HEALTH_ERR": "ERROR",
"HEALTH_WARN": "WARNING",
}
for entry in ceph_health_entries:
cluster_health_messages.append(
f"cluster: Ceph {ceph_health_status_map[ceph_health['checks'][entry]['severity']]} {entry}: {ceph_health['checks'][entry]['summary']['message']}"
)
if ceph_health_status == "HEALTH_ERR":
cluster_health_value -= health_delta_map["ceph_err"]
elif ceph_health_status == "HEALTH_WARN":
cluster_health_value -= health_delta_map["ceph_warn"]
if cluster_health_value < 0:
cluster_health_value = 0
cluster_health = {
"health": cluster_health_value,
"messages": cluster_health_messages,
}
return cluster_health
def getNodeHealth(zkhandler, node_list):
# Get the health state of all nodes
node_health_reads = list()
for node in node_list:
node_health_reads += [
("node.monitoring.health", node),
("node.monitoring.plugins", node),
]
all_node_health_details = zkhandler.read_many(node_health_reads)
# Parse out the Node health details
node_health = dict()
for nidx, node in enumerate(node_list):
# Split the large list of return values by the IDX of this node
# Each node result is 2 fields long
pos_start = nidx * 2
pos_end = nidx * 2 + 2
node_health_value, node_health_plugins = tuple(
all_node_health_details[pos_start:pos_end]
)
node_health_details = pvc_node.getNodeHealthDetails(
zkhandler, node, node_health_plugins.split()
)
node_health_messages = list()
for entry in node_health_details:
if entry["health_delta"] > 0:
node_health_messages.append(f"'{entry['name']}': {entry['message']}")
node_health_entry = {
"health": int(node_health_value)
if isinstance(node_health_value, int)
else node_health_value,
"messages": node_health_messages,
}
node_health[node] = node_health_entry
return node_health
def getClusterInformation(zkhandler):
# Get cluster maintenance state
maintenance_state = zkhandler.read("base.config.maintenance")
# Get primary node
maintenance_state, primary_node = zkhandler.read_many(
[
("base.config.maintenance"),
("base.config.primary_node"),
]
)
# Get PVC version of primary node
pvc_version = zkhandler.read(("node.data.pvc_version", primary_node))
# Get the list of Nodes
node_list = zkhandler.children("base.node")
node_count = len(node_list)
# Get the daemon and domain states of all Nodes
node_state_reads = list()
for node in node_list:
node_state_reads += [
("node.state.daemon", node),
("node.state.domain", node),
]
all_node_states = zkhandler.read_many(node_state_reads)
# Parse out the Node states
node_data = list()
formatted_node_states = {"total": node_count}
for nidx, node in enumerate(node_list):
# Split the large list of return values by the IDX of this node
# Each node result is 2 fields long
pos_start = nidx * 2
pos_end = nidx * 2 + 2
node_daemon_state, node_domain_state = tuple(all_node_states[pos_start:pos_end])
node_data.append(
{
"name": node,
"daemon_state": node_daemon_state,
"domain_state": node_domain_state,
}
)
node_state = f"{node_daemon_state},{node_domain_state}"
# Add to the count for this node's state
if node_state in common.node_state_combinations:
if formatted_node_states.get(node_state) is not None:
formatted_node_states[node_state] += 1
else:
formatted_node_states[node_state] = 1
# Get the list of VMs
vm_list = zkhandler.children("base.domain")
vm_count = len(vm_list)
# Get the states of all VMs
vm_state_reads = list()
for vm in vm_list:
vm_state_reads += [
("domain", vm),
("domain.state", vm),
]
all_vm_states = zkhandler.read_many(vm_state_reads)
# Parse out the VM states
vm_data = list()
formatted_vm_states = {"total": vm_count}
for vidx, vm in enumerate(vm_list):
# Split the large list of return values by the IDX of this VM
# Each VM result is 2 field long
pos_start = vidx * 2
pos_end = vidx * 2 + 2
vm_name, vm_state = tuple(all_vm_states[pos_start:pos_end])
vm_data.append(
{
"uuid": vm,
"name": vm_name,
"state": vm_state,
}
)
# Add to the count for this VM's state
if vm_state in common.vm_state_combinations:
if formatted_vm_states.get(vm_state) is not None:
formatted_vm_states[vm_state] += 1
else:
formatted_vm_states[vm_state] = 1
# Get the list of Ceph OSDs
ceph_osd_list = zkhandler.children("base.osd")
ceph_osd_count = len(ceph_osd_list)
# Get the states of all OSDs ("stat" is not a typo since we're reading stats; states are in
# the stats JSON object)
osd_stat_reads = list()
for osd in ceph_osd_list:
osd_stat_reads += [("osd.stats", osd)]
all_osd_stats = zkhandler.read_many(osd_stat_reads)
# Parse out the OSD states
osd_data = list()
formatted_osd_states = {"total": ceph_osd_count}
up_texts = {1: "up", 0: "down"}
in_texts = {1: "in", 0: "out"}
for oidx, osd in enumerate(ceph_osd_list):
# Split the large list of return values by the IDX of this OSD
# Each OSD result is 1 field long, so just use the IDX
_osd_stats = all_osd_stats[oidx]
# We have to load this JSON object and get our up/in states from it
osd_stats = loads(_osd_stats)
# Get our states
osd_up = up_texts[osd_stats["up"]]
osd_in = in_texts[osd_stats["in"]]
osd_data.append(
{
"id": osd,
"up": osd_up,
"in": osd_in,
}
)
osd_state = f"{osd_up},{osd_in}"
# Add to the count for this OSD's state
if osd_state in common.ceph_osd_state_combinations:
if formatted_osd_states.get(osd_state) is not None:
formatted_osd_states[osd_state] += 1
else:
formatted_osd_states[osd_state] = 1
# Get the list of Networks
network_list = zkhandler.children("base.network")
network_count = len(network_list)
# Get the list of Ceph pools
ceph_pool_list = zkhandler.children("base.pool")
ceph_pool_count = len(ceph_pool_list)
# Get the list of Ceph volumes
ceph_volume_list = list()
for pool in ceph_pool_list:
ceph_volume_list_pool = zkhandler.children(("volume", pool))
if ceph_volume_list_pool is not None:
ceph_volume_list += [f"{pool}/{volume}" for volume in ceph_volume_list_pool]
ceph_volume_count = len(ceph_volume_list)
# Get the list of Ceph snapshots
ceph_snapshot_list = list()
for volume in ceph_volume_list:
ceph_snapshot_list_volume = zkhandler.children(("snapshot", volume))
if ceph_snapshot_list_volume is not None:
ceph_snapshot_list += [
f"{volume}@{snapshot}" for snapshot in ceph_snapshot_list_volume
]
ceph_snapshot_count = len(ceph_snapshot_list)
# Get the list of faults
faults_data = faults.getAllFaults(zkhandler)
# Format the status data
cluster_information = {
"cluster_health": getClusterHealthFromFaults(zkhandler, faults_data),
"node_health": getNodeHealth(zkhandler, node_list),
"maintenance": maintenance_state,
"primary_node": primary_node,
"pvc_version": pvc_version,
"upstream_ip": zkhandler.read("base.config.upstream_ip"),
"nodes": formatted_node_states,
"vms": formatted_vm_states,
"networks": network_count,
"osds": formatted_osd_states,
"pools": ceph_pool_count,
"volumes": ceph_volume_count,
"snapshots": ceph_snapshot_count,
"detail": {
"node": node_data,
"vm": vm_data,
"osd": osd_data,
"faults": faults_data,
},
}
return cluster_information
def get_info(zkhandler):
# This is a thin wrapper function for naming purposes
cluster_information = getClusterInformation(zkhandler)
if cluster_information:
return True, cluster_information
else:
return False, "ERROR: Failed to obtain cluster information!"
def get_metrics(zkhandler):
# Get general cluster information
status_retflag, status_data = get_info(zkhandler)
if not status_retflag:
return False, "Error: Status data threw error"
faults_data = status_data["detail"]["faults"]
node_data = status_data["detail"]["node"]
vm_data = status_data["detail"]["vm"]
osd_data = status_data["detail"]["osd"]
output_lines = list()
output_lines.append("# HELP pvc_info PVC cluster information")
output_lines.append("# TYPE pvc_info gauge")
output_lines.append(
f"pvc_info{{primary_node=\"{status_data['primary_node']}\", version=\"{status_data['pvc_version']}\", upstream_ip=\"{status_data['upstream_ip']}\"}} 1"
)
output_lines.append("# HELP pvc_cluster_maintenance PVC cluster maintenance state")
output_lines.append("# TYPE pvc_cluster_maintenance gauge")
output_lines.append(
f"pvc_cluster_maintenance {1 if bool(strtobool(status_data['maintenance'])) else 0}"
)
output_lines.append("# HELP pvc_cluster_health PVC cluster health status")
output_lines.append("# TYPE pvc_cluster_health gauge")
output_lines.append(f"pvc_cluster_health {status_data['cluster_health']['health']}")
output_lines.append("# HELP pvc_cluster_faults PVC cluster new faults")
output_lines.append("# TYPE pvc_cluster_faults gauge")
fault_map = dict()
for fault_type in common.fault_state_combinations:
fault_map[fault_type] = 0
for fault in faults_data:
fault_map[fault["status"]] += 1
for fault_type in fault_map:
output_lines.append(
f'pvc_cluster_faults{{status="{fault_type}"}} {fault_map[fault_type]}'
)
# output_lines.append("# HELP pvc_cluster_faults PVC cluster health faults")
# output_lines.append("# TYPE pvc_cluster_faults gauge")
# for fault_msg in status_data["cluster_health"]["messages"]:
# output_lines.append(
# f"pvc_cluster_faults{{id=\"{fault_msg['id']}\", message=\"{fault_msg['text']}\"}} {fault_msg['health_delta']}"
# )
output_lines.append("# HELP pvc_node_health PVC cluster node health status")
output_lines.append("# TYPE pvc_node_health gauge")
for node in status_data["node_health"]:
if isinstance(status_data["node_health"][node]["health"], int):
output_lines.append(
f"pvc_node_health{{node=\"{node}\"}} {status_data['node_health'][node]['health']}"
)
output_lines.append("# HELP pvc_node_daemon_states PVC Node daemon state counts")
output_lines.append("# TYPE pvc_node_daemon_states gauge")
node_daemon_state_map = dict()
for state in set([s.split(",")[0] for s in common.node_state_combinations]):
node_daemon_state_map[state] = 0
for node in node_data:
node_daemon_state_map[node["daemon_state"]] += 1
for state in node_daemon_state_map:
output_lines.append(
f'pvc_node_daemon_states{{state="{state}"}} {node_daemon_state_map[state]}'
)
output_lines.append("# HELP pvc_node_domain_states PVC Node domain state counts")
output_lines.append("# TYPE pvc_node_domain_states gauge")
node_domain_state_map = dict()
for state in set([s.split(",")[1] for s in common.node_state_combinations]):
node_domain_state_map[state] = 0
for node in node_data:
node_domain_state_map[node["domain_state"]] += 1
for state in node_domain_state_map:
output_lines.append(
f'pvc_node_domain_states{{state="{state}"}} {node_domain_state_map[state]}'
)
output_lines.append("# HELP pvc_vm_states PVC VM state counts")
output_lines.append("# TYPE pvc_vm_states gauge")
vm_state_map = dict()
for state in set(common.vm_state_combinations):
vm_state_map[state] = 0
for vm in vm_data:
vm_state_map[vm["state"]] += 1
for state in vm_state_map:
output_lines.append(f'pvc_vm_states{{state="{state}"}} {vm_state_map[state]}')
output_lines.append("# HELP pvc_osd_up_states PVC OSD up state counts")
output_lines.append("# TYPE pvc_osd_up_states gauge")
osd_up_state_map = dict()
for state in set([s.split(",")[0] for s in common.ceph_osd_state_combinations]):
osd_up_state_map[state] = 0
for osd in osd_data:
if osd["up"] == "up":
osd_up_state_map["up"] += 1
else:
osd_up_state_map["down"] += 1
for state in osd_up_state_map:
output_lines.append(
f'pvc_osd_up_states{{state="{state}"}} {osd_up_state_map[state]}'
)
output_lines.append("# HELP pvc_osd_in_states PVC OSD in state counts")
output_lines.append("# TYPE pvc_osd_in_states gauge")
osd_in_state_map = dict()
for state in set([s.split(",")[1] for s in common.ceph_osd_state_combinations]):
osd_in_state_map[state] = 0
for osd in osd_data:
if osd["in"] == "in":
osd_in_state_map["in"] += 1
else:
osd_in_state_map["out"] += 1
for state in osd_in_state_map:
output_lines.append(
f'pvc_osd_in_states{{state="{state}"}} {osd_in_state_map[state]}'
)
output_lines.append("# HELP pvc_nodes PVC Node count")
output_lines.append("# TYPE pvc_nodes gauge")
output_lines.append(f"pvc_nodes {status_data['nodes']['total']}")
output_lines.append("# HELP pvc_vms PVC VM count")
output_lines.append("# TYPE pvc_vms gauge")
output_lines.append(f"pvc_vms {status_data['vms']['total']}")
output_lines.append("# HELP pvc_osds PVC OSD count")
output_lines.append("# TYPE pvc_osds gauge")
output_lines.append(f"pvc_osds {status_data['osds']['total']}")
output_lines.append("# HELP pvc_networks PVC Network count")
output_lines.append("# TYPE pvc_networks gauge")
output_lines.append(f"pvc_networks {status_data['networks']}")
output_lines.append("# HELP pvc_pools PVC Storage Pool count")
output_lines.append("# TYPE pvc_pools gauge")
output_lines.append(f"pvc_pools {status_data['pools']}")
output_lines.append("# HELP pvc_volumes PVC Storage Volume count")
output_lines.append("# TYPE pvc_volumes gauge")
output_lines.append(f"pvc_volumes {status_data['volumes']}")
output_lines.append("# HELP pvc_snapshots PVC Storage Snapshot count")
output_lines.append("# TYPE pvc_snapshots gauge")
output_lines.append(f"pvc_snapshots {status_data['snapshots']}")
return True, "\n".join(output_lines) + "\n"
def cluster_initialize(zkhandler, overwrite=False):
# Abort if we've initialized the cluster before
if zkhandler.exists("base.config.primary_node") and not overwrite:
return False, "ERROR: Cluster contains data and overwrite not set."
if overwrite:
# Delete the existing keys
for key in zkhandler.schema.keys("base"):
if key == "root":
# Don't delete the root key
continue
status = zkhandler.delete("base.{}".format(key), recursive=True)
if not status:
return (
False,
"ERROR: Failed to delete data in cluster; running nodes perhaps?",
)
# Create the root keys
zkhandler.schema.apply(zkhandler)
return True, "Successfully initialized cluster"
def cluster_backup(zkhandler):
# Dictionary of values to come
cluster_data = dict()
def get_data(path):
data = zkhandler.read(path)
children = zkhandler.children(path)
cluster_data[path] = data
if children:
if path == "/":
child_prefix = "/"
else:
child_prefix = path + "/"
for child in children:
if child_prefix + child == "/zookeeper":
# We must skip the built-in /zookeeper tree
continue
if child_prefix + child == "/patroni":
# We must skip the /patroni tree
continue
get_data(child_prefix + child)
try:
get_data("/")
except Exception as e:
return False, "ERROR: Failed to obtain backup: {}".format(e)
return True, cluster_data
def cluster_restore(zkhandler, cluster_data):
# Build a key+value list
kv = []
schema_version = None
for key in cluster_data:
if key == zkhandler.schema.path("base.schema.version"):
schema_version = cluster_data[key]
data = cluster_data[key]
kv.append((key, data))
if int(schema_version) != int(zkhandler.schema.version):
return (
False,
"ERROR: Schema version of backup ({}) does not match cluster schema version ({}).".format(
schema_version, zkhandler.schema.version
),
)
# Close the Zookeeper connection
result = zkhandler.write(kv)
if result:
return True, "Restore completed successfully."
else:
return False, "Restore failed."