Files
ray/scripts/start_ray.py
T
Stephanie Wang ee08c8274b Shard Redis. (#539)
* Implement sharding in the Ray core

* Single node Python modifications to do sharding

* Do the sharding in redis.cc

* Pipe num_redis_shards through start_ray.py and worker.py.

* Use multiple redis shards in multinode tests.

* first steps for sharding ray.global_state

* Fix problem in multinode docker test.

* fix runtest.py

* fix some tests

* fix redis shard startup

* fix redis sharding

* fix

* fix bug introduced by the map-iterator being consumed

* fix sharding bug

* shard event table

* update number of Redis clients to be 64K

* Fix object table tests by flushing shards in between unit tests

* Fix local scheduler tests

* Documentation

* Register shard locations in the primary shard

* Add plasma unit tests back to build

* lint

* lint and fix build

* Fix

* Address Robert's comments

* Refactor start_ray_processes to start Redis shard

* lint

* Fix global scheduler python tests

* Fix redis module test

* Fix plasma test

* Fix component failure test

* Fix local scheduler test

* Fix runtest.py

* Fix global scheduler test for python3

* Fix task_table_test_and_update bug, from actor task table submission race

* Fix jenkins tests.

* Retry Redis shard connections

* Fix test cases

* Convert database clients to DBClient struct

* Fix race condition when subscribing to db client table

* Remove unused lines, add APITest for sharded Ray

* Fix

* Fix memory leak

* Suppress ReconstructionTests output

* Suppress output for APITestSharded

* Reissue task table add/update commands if initial command does not publish to any subscribers.

* fix

* Fix linting.

* fix tests

* fix linting

* fix python test

* fix linting
2017-05-18 17:40:41 -07:00

148 lines
6.5 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import redis
import ray.services as services
parser = argparse.ArgumentParser(
description="Start the Ray processes on a node.")
parser.add_argument("--node-ip-address", required=False, type=str,
help="the IP address of this node")
parser.add_argument("--redis-address", required=False, type=str,
help="the address to use for connecting to Redis")
parser.add_argument("--redis-port", required=False, type=str,
help="the port to use for starting Redis")
parser.add_argument("--num-redis-shards", required=False, type=int,
help=("the number of additional Redis shards to use in "
"addition to the primary Redis shard"))
parser.add_argument("--object-manager-port", required=False, type=int,
help="the port to use for starting the object manager")
parser.add_argument("--num-workers", required=False, type=int,
help="the initial number of workers to start on this node")
parser.add_argument("--num-cpus", required=False, type=int,
help="the number of CPUs on this node")
parser.add_argument("--num-gpus", required=False, type=int,
help="the number of GPUs on this node")
parser.add_argument("--head", action="store_true",
help="provide this argument for the head node")
def check_no_existing_redis_clients(node_ip_address, redis_address):
redis_ip_address, redis_port = redis_address.split(":")
redis_client = redis.StrictRedis(host=redis_ip_address, port=int(redis_port))
# The client table prefix must be kept in sync with the file
# "src/common/redis_module/ray_redis_module.cc" where it is defined.
REDIS_CLIENT_TABLE_PREFIX = "CL:"
client_keys = redis_client.keys("{}*".format(REDIS_CLIENT_TABLE_PREFIX))
# Filter to clients on the same node and do some basic checking.
for key in client_keys:
info = redis_client.hgetall(key)
assert b"ray_client_id" in info
assert b"node_ip_address" in info
assert b"client_type" in info
assert b"deleted" in info
# Clients that ran on the same node but that are marked dead can be
# ignored.
deleted = info[b"deleted"]
deleted = bool(int(deleted))
if deleted:
continue
if info[b"node_ip_address"].decode("ascii") == node_ip_address:
raise Exception("This Redis instance is already connected to clients "
"with this IP address.")
if __name__ == "__main__":
args = parser.parse_args()
# Note that we redirect stdout and stderr to /dev/null because otherwise
# attempts to print may cause exceptions if a process is started inside of an
# SSH connection and the SSH connection dies. TODO(rkn): This is a temporary
# fix. We should actually redirect stdout and stderr to Redis in some way.
if args.head:
# Start Ray on the head node.
if args.redis_address is not None:
raise Exception("If --head is passed in, a Redis server will be "
"started, so a Redis address should not be provided.")
# Get the node IP address if one is not provided.
if args.node_ip_address is None:
node_ip_address = services.get_node_ip_address()
else:
node_ip_address = args.node_ip_address
print("Using IP address {} for this node.".format(node_ip_address))
address_info = {}
# Use the provided object manager port if there is one.
if args.object_manager_port is not None:
address_info["object_manager_ports"] = [args.object_manager_port]
if address_info == {}:
address_info = None
address_info = services.start_ray_head(
address_info=address_info,
node_ip_address=node_ip_address,
redis_port=args.redis_port,
num_workers=args.num_workers,
cleanup=False,
redirect_output=True,
num_cpus=args.num_cpus,
num_gpus=args.num_gpus,
num_redis_shards=args.num_redis_shards)
print(address_info)
print("\nStarted Ray on this node. You can add additional nodes to the "
"cluster by calling\n\n"
" ./scripts/start_ray.sh --redis-address {}\n\n"
"from the node you wish to add. You can connect a driver to the "
"cluster from Python by running\n\n"
" import ray\n"
" ray.init(redis_address=\"{}\")\n\n"
"If you have trouble connecting from a different machine, check "
"that your firewall is configured properly. If you wish to "
"terminate the processes that have been started, run\n\n"
" ./scripts/stop_ray.sh".format(address_info["redis_address"],
address_info["redis_address"]))
else:
# Start Ray on a non-head node.
if args.redis_port is not None:
raise Exception("If --head is not passed in, --redis-port is not "
"allowed")
if args.redis_address is None:
raise Exception("If --head is not passed in, --redis-address must be "
"provided.")
if args.num_redis_shards is not None:
raise Exception("If --head is not passed in, --num-redis-shards must "
"not be provided.")
redis_ip_address, redis_port = args.redis_address.split(":")
# Wait for the Redis server to be started. And throw an exception if we
# can't connect to it.
services.wait_for_redis_to_start(redis_ip_address, int(redis_port))
# Get the node IP address if one is not provided.
if args.node_ip_address is None:
node_ip_address = services.get_node_ip_address(args.redis_address)
else:
node_ip_address = args.node_ip_address
print("Using IP address {} for this node.".format(node_ip_address))
# Check that there aren't already Redis clients with the same IP address
# connected with this Redis instance. This raises an exception if the Redis
# server already has clients on this node.
check_no_existing_redis_clients(node_ip_address, args.redis_address)
address_info = services.start_ray_node(
node_ip_address=node_ip_address,
redis_address=args.redis_address,
object_manager_ports=[args.object_manager_port],
num_workers=args.num_workers,
cleanup=False,
redirect_output=True,
num_cpus=args.num_cpus,
num_gpus=args.num_gpus)
print(address_info)
print("\nStarted Ray on this node. If you wish to terminate the processes "
"that have been started, run\n\n"
" ./scripts/stop_ray.sh")