def start_objstore(node_ip_address, redis_address, cleanup=True):
"""This method starts an object store process.
Args:
node_ip_address (str): The ip address of the node running the object store.
redis_address (str): The address of the Redis instance to connect to.
cleanup (bool): True if using Ray in local mode. If cleanup is true, then
this process will be killed by serices.cleanup() when the Python process
that imported services exits.
Return:
A tuple of the Plasma store socket name, the Plasma manager socket name, and
the plasma manager port.
"""
# Compute a fraction of the system memory for the Plasma store to use.
system_memory = psutil.virtual_memory().total
plasma_store_memory = int(system_memory * 0.75)
# Start the Plasma store.
plasma_store_name, p1 = plasma.start_plasma_store(
plasma_store_memory=plasma_store_memory,
use_profiler=RUN_PLASMA_STORE_PROFILER)
# Start the plasma manager.
plasma_manager_name, p2, plasma_manager_port = plasma.start_plasma_manager(
plasma_store_name,
redis_address,
run_profiler=RUN_PLASMA_MANAGER_PROFILER)
if cleanup:
all_processes.append(p1)
all_processes.append(p2)
return plasma_store_name, plasma_manager_name, plasma_manager_port
def setUp(self): # Start Plasma store. plasma_store_name, self.p = plasma.start_plasma_store(use_valgrind=USE_VALGRIND) # Connect to Plasma. self.plasma_client = plasma.PlasmaClient(plasma_store_name, None, 64) # For the eviction test self.plasma_client2 = plasma.PlasmaClient(plasma_store_name, None, 0)
def setUp(self):
# Start two PlasmaStores.
store_name1, self.p2 = plasma.start_plasma_store(use_valgrind=USE_VALGRIND)
store_name2, self.p3 = plasma.start_plasma_store(use_valgrind=USE_VALGRIND)
# Start a Redis server.
redis_address = services.start_redis("127.0.0.1")
# Start two PlasmaManagers.
manager_name1, self.p4, self.port1 = plasma.start_plasma_manager(store_name1, redis_address, use_valgrind=USE_VALGRIND)
manager_name2, self.p5, self.port2 = plasma.start_plasma_manager(store_name2, redis_address, use_valgrind=USE_VALGRIND)
# Connect two PlasmaClients.
self.client1 = plasma.PlasmaClient(store_name1, manager_name1)
self.client2 = plasma.PlasmaClient(store_name2, manager_name2)
# Store the processes that will be explicitly killed during tearDown so
# that a test case can remove ones that will be killed during the test.
# NOTE: If this specific order is changed, valgrind will fail.
self.processes_to_kill = [self.p4, self.p5, self.p2, self.p3]
def setUp(self):
# Start Plasma store.
plasma_store_name, self.p1 = plasma.start_plasma_store()
self.plasma_client = plasma.PlasmaClient(plasma_store_name)
# Start a local scheduler.
scheduler_name, self.p2 = photon.start_local_scheduler(
plasma_store_name, use_valgrind=USE_VALGRIND)
# Connect to the scheduler.
self.photon_client = photon.PhotonClient(scheduler_name)
def setUp(self):
# Start one Redis server and N pairs of (plasma, photon)
redis_path = os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"../../core/src/common/thirdparty/redis/src/redis-server")
redis_module = os.path.join(
os.path.dirname(os.path.abspath(__file__)),
"../../core/src/common/redis_module/libray_redis_module.so")
assert os.path.isfile(redis_path)
assert os.path.isfile(redis_module)
node_ip_address = "127.0.0.1"
redis_port = new_port()
redis_address = "{}:{}".format(node_ip_address, redis_port)
self.redis_process = subprocess.Popen([
redis_path, "--port",
str(redis_port), "--loglevel", "warning", "--loadmodule",
redis_module
])
time.sleep(0.1)
# Create a Redis client.
self.redis_client = redis.StrictRedis(host=node_ip_address,
port=redis_port)
# Start one global scheduler.
self.p1 = global_scheduler.start_global_scheduler(
redis_address, use_valgrind=USE_VALGRIND)
self.plasma_store_pids = []
self.plasma_manager_pids = []
self.local_scheduler_pids = []
self.plasma_clients = []
self.photon_clients = []
for i in range(NUM_CLUSTER_NODES):
# Start the Plasma store. Plasma store name is randomly generated.
plasma_store_name, p2 = plasma.start_plasma_store()
self.plasma_store_pids.append(p2)
# Start the Plasma manager.
# Assumption: Plasma manager name and port are randomly generated by the plasma module.
plasma_manager_name, p3, plasma_manager_port = plasma.start_plasma_manager(
plasma_store_name, redis_address)
self.plasma_manager_pids.append(p3)
plasma_address = "{}:{}".format(node_ip_address,
plasma_manager_port)
plasma_client = plasma.PlasmaClient(plasma_store_name,
plasma_manager_name)
self.plasma_clients.append(plasma_client)
# Start the local scheduler.
local_scheduler_name, p4 = photon.start_local_scheduler(
plasma_store_name,
plasma_manager_name=plasma_manager_name,
plasma_address=plasma_address,
redis_address=redis_address,
static_resource_list=[10, 0])
# Connect to the scheduler.
photon_client = photon.PhotonClient(local_scheduler_name,
NIL_ACTOR_ID)
self.photon_clients.append(photon_client)
self.local_scheduler_pids.append(p4)
def setUp(self):
# Start two PlasmaStores.
store_name1, self.p2 = plasma.start_plasma_store(use_valgrind=USE_VALGRIND)
store_name2, self.p3 = plasma.start_plasma_store(use_valgrind=USE_VALGRIND)
# Start a Redis server.
redis_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "../../common/thirdparty/redis/src/redis-server")
redis_port = 6379
with open(os.devnull, "w") as FNULL:
self.redis_process = subprocess.Popen([redis_path,
"--port", str(redis_port)],
stdout=FNULL)
time.sleep(0.1)
# Start two PlasmaManagers.
redis_address = "{}:{}".format("127.0.0.1", redis_port)
manager_name1, self.p4, self.port1 = plasma.start_plasma_manager(store_name1, redis_address, use_valgrind=USE_VALGRIND)
manager_name2, self.p5, self.port2 = plasma.start_plasma_manager(store_name2, redis_address, use_valgrind=USE_VALGRIND)
# Connect two PlasmaClients.
self.client1 = plasma.PlasmaClient(store_name1, manager_name1)
self.client2 = plasma.PlasmaClient(store_name2, manager_name2)
def start_objstore(node_ip_address, redis_address, object_manager_port=None,
cleanup=True, redirect_output=False, objstore_memory=None):
"""This method starts an object store process.
Args:
node_ip_address (str): The IP address of the node running the object store.
redis_address (str): The address of the Redis instance to connect to.
object_manager_port (int): The port to use for the object manager. If this
is not provided, one will be generated randomly.
cleanup (bool): True if using Ray in local mode. If cleanup is true, then
this process will be killed by serices.cleanup() when the Python process
that imported services exits.
redirect_output (bool): True if stdout and stderr should be redirected to
/dev/null.
Return:
A tuple of the Plasma store socket name, the Plasma manager socket name, and
the plasma manager port.
"""
if objstore_memory is None:
# Compute a fraction of the system memory for the Plasma store to use.
system_memory = psutil.virtual_memory().total
if sys.platform == "linux" or sys.platform == "linux2":
# On linux we use /dev/shm, its size is half the size of the physical
# memory. To not overflow it, we set the plasma memory limit to 0.4 times
# the size of the physical memory.
objstore_memory = int(system_memory * 0.4)
# Compare the requested memory size to the memory available in /dev/shm.
shm_fd = os.open("/dev/shm", os.O_RDONLY)
try:
shm_fs_stats = os.fstatvfs(shm_fd)
# The value shm_fs_stats.f_bsize is the block size and the value
# shm_fs_stats.f_bavail is the number of available blocks.
shm_avail = shm_fs_stats.f_bsize * shm_fs_stats.f_bavail
if objstore_memory > shm_avail:
print("Warning: Reducing object store memory because /dev/shm has only {} bytes available. You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you may need to pass an argument with the flag '--shm-size' to 'docker run'.".format(shm_avail))
objstore_memory = int(shm_avail * 0.8)
finally:
os.close(shm_fd)
else:
objstore_memory = int(system_memory * 0.8)
# Start the Plasma store.
plasma_store_name, p1 = plasma.start_plasma_store(plasma_store_memory=objstore_memory, use_profiler=RUN_PLASMA_STORE_PROFILER, redirect_output=redirect_output)
# Start the plasma manager.
if object_manager_port is not None:
plasma_manager_name, p2, plasma_manager_port = plasma.start_plasma_manager(plasma_store_name, redis_address, plasma_manager_port=object_manager_port, node_ip_address=node_ip_address, num_retries=1, run_profiler=RUN_PLASMA_MANAGER_PROFILER, redirect_output=redirect_output)
assert plasma_manager_port == object_manager_port
else:
plasma_manager_name, p2, plasma_manager_port = plasma.start_plasma_manager(plasma_store_name, redis_address, node_ip_address=node_ip_address, run_profiler=RUN_PLASMA_MANAGER_PROFILER, redirect_output=redirect_output)
if cleanup:
all_processes[PROCESS_TYPE_PLASMA_STORE].append(p1)
all_processes[PROCESS_TYPE_PLASMA_MANAGER].append(p2)
return ObjectStoreAddress(plasma_store_name, plasma_manager_name,
plasma_manager_port)
def setUp(self):
# Start a Plasma store.
self.store_name, self.p2 = plasma.start_plasma_store(use_valgrind=USE_VALGRIND)
# Start a Redis server.
self.redis_address = services.start_redis("127.0.0.1")
# Start a PlasmaManagers.
manager_name, self.p3, self.port1 = plasma.start_plasma_manager(
self.store_name,
self.redis_address,
use_valgrind=USE_VALGRIND)
# Connect a PlasmaClient.
self.client = plasma.PlasmaClient(self.store_name, manager_name)
# Store the processes that will be explicitly killed during tearDown so
# that a test case can remove ones that will be killed during the test.
self.processes_to_kill = [self.p2, self.p3]
def setUp(self):
# Start a Redis server.
redis_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "../../common/thirdparty/redis/src/redis-server")
node_ip_address = "127.0.0.1"
redis_port = new_port()
redis_address = "{}:{}".format(node_ip_address, redis_port)
self.redis_process = subprocess.Popen([redis_path, "--port", str(redis_port), "--loglevel", "warning"])
time.sleep(0.1)
# Create a Redis client.
self.redis_client = redis.StrictRedis(host=node_ip_address, port=redis_port)
# Start the global scheduler.
self.p1 = global_scheduler.start_global_scheduler(redis_address, USE_VALGRIND)
# Start the Plasma store.
plasma_store_name, self.p2 = plasma.start_plasma_store()
# Start the local scheduler.
local_scheduler_name, self.p3 = photon.start_local_scheduler(plasma_store_name, redis_address=redis_address)
# Connect to the scheduler.
self.photon_client = photon.PhotonClient(local_scheduler_name)