Revert "[Autoscaler] Monitor refactor for backward compatability. (#13970)" (#14046)

This reverts commit 7a6f8054d1.
This commit is contained in:
architkulkarni
2021-02-10 12:16:52 -08:00
committed by GitHub
parent 68e985ddcd
commit 6f9d39fb3e
5 changed files with 195 additions and 236 deletions
+52 -23
View File
@@ -8,8 +8,6 @@ import time
import traceback
import json
import grpc
import ray
from ray.autoscaler._private.autoscaler import StandardAutoscaler
from ray.autoscaler._private.commands import teardown_cluster
@@ -19,10 +17,11 @@ from ray.autoscaler._private.load_metrics import LoadMetrics
from ray.autoscaler._private.constants import \
AUTOSCALER_MAX_RESOURCE_DEMAND_VECTOR_SIZE
from ray.autoscaler._private.util import DEBUG_AUTOSCALING_STATUS
from ray.core.generated import gcs_service_pb2, gcs_service_pb2_grpc
import ray.gcs_utils
import ray.utils
import ray.ray_constants as ray_constants
from ray.ray_logging import setup_component_logger
from ray._raylet import GlobalStateAccessor
from ray.experimental.internal_kv import _internal_kv_put, \
_internal_kv_initialized, _internal_kv_get
@@ -91,17 +90,16 @@ class Monitor:
redis_address, redis_password=redis_password)
self.redis = ray._private.services.create_redis_client(
redis_address, password=redis_password)
# Initialize the gcs stub for getting all node resource usage.
gcs_address = self.redis.get("GcsServerAddress").decode("utf-8")
gcs_channel = grpc.insecure_channel(gcs_address)
self.gcs_node_resources_stub = \
gcs_service_pb2_grpc.NodeResourceInfoGcsServiceStub(gcs_channel)
self.global_state_accessor = GlobalStateAccessor(
redis_address, redis_password, False)
self.global_state_accessor.connect()
# Set the redis client and mode so _internal_kv works for autoscaler.
worker = ray.worker.global_worker
worker.redis_client = self.redis
worker.mode = 0
# Keep a mapping from raylet client ID to IP address to use
# for updating the load metrics.
self.raylet_id_to_ip_map = {}
head_node_ip = redis_address.split(":")[0]
self.load_metrics = LoadMetrics(local_ip=head_node_ip)
self.last_avail_resources = None
@@ -119,14 +117,19 @@ class Monitor:
logger.info("Monitor: Started")
def __del__(self):
"""Destruct the monitor object."""
# We close the pubsub client to avoid leaking file descriptors.
if self.global_state_accessor is not None:
self.global_state_accessor.disconnect()
self.global_state_accessor = None
def update_load_metrics(self):
"""Fetches resource usage data from GCS and updates load metrics."""
request = gcs_service_pb2.GetAllResourceUsageRequest()
response = self.gcs_node_resources_stub.GetAllResourceUsage(
request, timeout=3)
resources_batch_data = response.resource_usage_data
all_resources = self.global_state_accessor.get_all_resource_usage()
resources_batch_data = \
ray.gcs_utils.ResourceUsageBatchData.FromString(all_resources)
for resource_message in resources_batch_data.batch:
resource_load = dict(resource_message.resource_load)
total_resources = dict(resource_message.resources_total)
@@ -138,10 +141,17 @@ class Monitor:
pending_placement_groups = list(
resources_batch_data.placement_group_load.placement_group_data)
ip = resource_message.node_manager_address
self.load_metrics.update(
ip, total_resources, available_resources, resource_load,
waiting_bundles, infeasible_bundles, pending_placement_groups)
# Update the load metrics for this raylet.
node_id = ray.utils.binary_to_hex(resource_message.node_id)
ip = self.raylet_id_to_ip_map.get(node_id)
if ip:
self.load_metrics.update(ip, total_resources,
available_resources, resource_load,
waiting_bundles, infeasible_bundles,
pending_placement_groups)
else:
logger.warning(
f"Monitor: could not find ip for node {node_id}")
def update_resource_requests(self):
"""Fetches resource requests from the internal KV and updates load."""
@@ -156,10 +166,29 @@ class Monitor:
except Exception:
logger.exception("Error parsing resource requests")
def update_raylet_map(self, _append_port=False):
"""Updates internal raylet map.
Args:
_append_port (bool): Defaults to False. Appending the port is
useful in testing, as mock clusters have many nodes with
the same IP and cannot be uniquely identified.
"""
all_raylet_nodes = ray.nodes()
self.raylet_id_to_ip_map = {}
for raylet_info in all_raylet_nodes:
node_id = (raylet_info.get("DBClientID") or raylet_info["NodeID"])
ip_address = (raylet_info.get("AuxAddress")
or raylet_info["NodeManagerAddress"]).split(":")[0]
if _append_port:
ip_address += ":" + str(raylet_info["NodeManagerPort"])
self.raylet_id_to_ip_map[node_id] = ip_address
def _run(self):
"""Run the monitor loop."""
while True:
self.update_raylet_map()
self.update_load_metrics()
self.update_resource_requests()
self.update_event_summary()
@@ -335,9 +364,9 @@ if __name__ == "__main__":
# Something went wrong, so push an error to all drivers.
redis_client = ray._private.services.create_redis_client(
args.redis_address, password=args.redis_password)
traceback_str = ray.utils.format_error_message(traceback.format_exc())
message = ("The monitor failed with the "
f"following error:\n{traceback.format_exc()}")
from ray.utils import push_error_to_driver_through_redis
push_error_to_driver_through_redis(
f"following error:\n{traceback_str}")
ray.utils.push_error_to_driver_through_redis(
redis_client, ray_constants.MONITOR_DIED_ERROR, message)
raise e