Add timeout param to ray.get (#6107)

This commit is contained in:
Ujval Misra
2019-11-14 00:50:04 -08:00
committed by Richard Liaw
parent e4c0843f60
commit e3e3ad4b25
12 changed files with 100 additions and 20 deletions
+19 -3
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@@ -40,7 +40,7 @@ Ray enables arbitrary Python functions to be executed asynchronously. These asyn
def remote_function():
return 1
This causes a few things changes in behavior:
This causes a few changes in behavior:
1. **Invocation:** The regular version is called with ``regular_function()``, whereas the remote version is called with ``remote_function.remote()``.
2. **Return values:** ``regular_function`` immediately executes and returns ``1``, whereas ``remote_function`` immediately returns an object ID (a future) and then creates a task that will be executed on a worker process. The result can be retrieved with ``ray.get``.
@@ -145,7 +145,7 @@ Below are more examples of resource specifications:
def f():
return 1
Further, remote function can return multiple object IDs.
Further, remote functions can return multiple object IDs.
.. code-block:: python
@@ -188,7 +188,7 @@ Object IDs can be created in multiple ways.
Fetching Results
----------------
The command ``ray.get(x_id)`` takes an object ID and creates a Python object
The command ``ray.get(x_id, timeout=None)`` takes an object ID and creates a Python object
from the corresponding remote object. First, if the current node's object store
does not contain the object, the object is downloaded. Then, if the object is a `numpy array <https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html>`__
or a collection of numpy arrays, the ``get`` call is zero-copy and returns arrays backed by shared object store memory.
@@ -200,6 +200,22 @@ Otherwise, we deserialize the object data into a Python object.
obj_id = ray.put(y)
assert ray.get(obj_id) == 1
You can also set a timeout to return early from a ``get`` that's blocking for too long.
.. code-block:: python
from ray.exceptions import RayTimeoutException
@ray.remote
def long_running_function()
time.sleep(8)
obj_id = long_running_function.remote()
try:
ray.get(obj_id, timeout=4)
except RayTimeoutError:
print("`get` timed out.")
.. autofunction:: ray.get
:noindex:
+4 -1
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@@ -84,7 +84,8 @@ from ray.exceptions import (
RayError,
RayletError,
RayTaskError,
ObjectStoreFullError
ObjectStoreFullError,
RayTimeoutError,
)
from ray.experimental.no_return import NoReturn
from ray.function_manager import FunctionDescriptor
@@ -138,6 +139,8 @@ cdef int check_status(const CRayStatus& status) nogil except -1:
raise ObjectStoreFullError(message)
elif status.IsInterrupted():
raise KeyboardInterrupt()
elif status.IsTimedOut():
raise RayTimeoutError(message)
else:
raise RayletError(message)
+6
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@@ -161,6 +161,11 @@ class UnreconstructableError(RayError):
"https://ray.readthedocs.io/en/latest/memory-management.html"))
class RayTimeoutError(RayError):
"""Indicates that a call to the worker timed out."""
pass
RAY_EXCEPTION_TYPES = [
RayError,
RayTaskError,
@@ -168,4 +173,5 @@ RAY_EXCEPTION_TYPES = [
RayActorError,
ObjectStoreFullError,
UnreconstructableError,
RayTimeoutError,
]
+5
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@@ -73,6 +73,9 @@ cdef extern from "ray/common/status.h" namespace "ray" nogil:
@staticmethod
CRayStatus RedisError(const c_string &msg)
@staticmethod
CRayStatus TimedOut(const c_string &msg)
@staticmethod
CRayStatus Interrupted(const c_string &msg)
@@ -89,7 +92,9 @@ cdef extern from "ray/common/status.h" namespace "ray" nogil:
c_bool IsNotImplemented()
c_bool IsObjectStoreFull()
c_bool IsRedisError()
c_bool IsTimedOut()
c_bool IsInterrupted()
c_bool IsSystemExit()
c_string ToString()
c_string CodeAsString()
+15
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@@ -29,6 +29,7 @@ import pytest
import ray
from ray import signature
from ray.exceptions import RayTimeoutError
import ray.ray_constants as ray_constants
import ray.tests.cluster_utils
import ray.tests.utils
@@ -1190,6 +1191,20 @@ def test_get_dict(ray_start_regular):
assert result == expected
def test_get_with_timeout(ray_start_regular):
@ray.remote
def f(a):
time.sleep(a)
return a
assert ray.get(f.remote(3), timeout=10) == 3
obj_id = f.remote(3)
with pytest.raises(RayTimeoutError):
ray.get(obj_id, timeout=2)
assert ray.get(obj_id, timeout=2) == 3
def test_direct_call_simple(ray_start_regular):
@ray.remote
def f(x):
+16 -4
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@@ -286,7 +286,7 @@ class Worker(object):
return context.deserialize_objects(data_metadata_pairs, object_ids,
error_timeout)
def get_objects(self, object_ids):
def get_objects(self, object_ids, timeout=None):
"""Get the values in the object store associated with the IDs.
Return the values from the local object store for object_ids. This will
@@ -296,6 +296,8 @@ class Worker(object):
Args:
object_ids (List[object_id.ObjectID]): A list of the object IDs
whose values should be retrieved.
timeout (float): timeout (float): The maximum amount of time in
seconds to wait before returning.
Raises:
Exception if running in LOCAL_MODE and any of the object IDs do not
@@ -309,10 +311,15 @@ class Worker(object):
"which is not an ray.ObjectID.".format(object_id))
if self.mode == LOCAL_MODE:
# TODO(ujvl): Remove check when local mode moved to core worker.
if timeout is not None:
raise ValueError(
"`get` must be called with timeout=None in local mode.")
return self.local_mode_manager.get_objects(object_ids)
timeout_ms = int(timeout * 1000) if timeout else -1
data_metadata_pairs = self.core_worker.get_objects(
object_ids, self.current_task_id)
object_ids, self.current_task_id, timeout_ms)
return self.deserialize_objects(data_metadata_pairs, object_ids)
def run_function_on_all_workers(self, function,
@@ -1388,7 +1395,7 @@ def register_custom_serializer(cls,
class_id=class_id)
def get(object_ids):
def get(object_ids, timeout=None):
"""Get a remote object or a list of remote objects from the object store.
This method blocks until the object corresponding to the object ID is
@@ -1400,11 +1407,15 @@ def get(object_ids):
Args:
object_ids: Object ID of the object to get or a list of object IDs to
get.
timeout (float): The maximum amount of time in seconds to wait before
returning.
Returns:
A Python object or a list of Python objects.
Raises:
RayTimeoutError: A RayTimeoutError is raised if a timeout is set and
the get takes longer than timeout to return.
Exception: An exception is raised if the task that created the object
or that created one of the objects raised an exception.
"""
@@ -1420,7 +1431,8 @@ def get(object_ids):
"or a list of object IDs.")
global last_task_error_raise_time
values = worker.get_objects(object_ids)
# TODO(ujvl): Consider how to allow user to retrieve the ready objects.
values = worker.get_objects(object_ids, timeout=timeout)
for i, value in enumerate(values):
if isinstance(value, RayError):
last_task_error_raise_time = time.time()
+3
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@@ -74,6 +74,9 @@ std::string Status::CodeAsString() const {
case StatusCode::RedisError:
type = "RedisError";
break;
case StatusCode::TimedOut:
type = "TimedOut";
break;
case StatusCode::Interrupted:
type = "Interrupted";
break;
+8 -2
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@@ -79,8 +79,9 @@ enum class StatusCode : char {
UnknownError = 9,
NotImplemented = 10,
RedisError = 11,
Interrupted = 12,
SystemExit = 13,
TimedOut = 12,
Interrupted = 13,
SystemExit = 14,
};
#if defined(__clang__)
@@ -144,6 +145,10 @@ class RAY_EXPORT Status {
return Status(StatusCode::RedisError, msg);
}
static Status TimedOut(const std::string &msg) {
return Status(StatusCode::TimedOut, msg);
}
static Status Interrupted(const std::string &msg) {
return Status(StatusCode::Interrupted, msg);
}
@@ -165,6 +170,7 @@ class RAY_EXPORT Status {
bool IsUnknownError() const { return code() == StatusCode::UnknownError; }
bool IsNotImplemented() const { return code() == StatusCode::NotImplemented; }
bool IsRedisError() const { return code() == StatusCode::RedisError; }
bool IsTimedOut() const { return code() == StatusCode::TimedOut; }
bool IsInterrupted() const { return code() == StatusCode::Interrupted; }
bool IsSystemExit() const { return code() == StatusCode::SystemExit; }
@@ -223,7 +223,7 @@ Status CoreWorkerMemoryStore::Get(const std::vector<ObjectID> &object_ids,
}
// Wait for remaining objects (or timeout).
get_request->Wait(timeout_ms);
bool done = get_request->Wait(timeout_ms);
{
absl::MutexLock lock(&mu_);
@@ -253,7 +253,11 @@ Status CoreWorkerMemoryStore::Get(const std::vector<ObjectID> &object_ids,
}
}
return Status::OK();
if (done) {
return Status::OK();
} else {
return Status::TimedOut("Get timed out: some object(s) not ready.");
}
}
void CoreWorkerMemoryStore::Delete(const std::vector<ObjectID> &object_ids) {
@@ -55,8 +55,11 @@ Status CoreWorkerMemoryStoreProvider::Wait(
std::vector<ObjectID> id_vector(object_ids.begin(), object_ids.end());
std::vector<std::shared_ptr<RayObject>> result_objects;
RAY_CHECK(object_ids.size() == id_vector.size());
RAY_RETURN_NOT_OK(
store_->Get(id_vector, num_objects, timeout_ms, false, &result_objects));
auto status = store_->Get(id_vector, num_objects, timeout_ms, false, &result_objects);
// Ignore TimedOut statuses since we return ready objects explicitly.
if (!status.IsTimedOut()) {
RAY_RETURN_NOT_OK(status);
}
for (size_t i = 0; i < id_vector.size(); i++) {
if (result_objects[i] != nullptr) {
@@ -156,6 +156,7 @@ Status CoreWorkerPlasmaStoreProvider::Get(
// objects are all fetched if timeout is -1.
int unsuccessful_attempts = 0;
bool should_break = false;
bool timed_out = false;
int64_t remaining_timeout = timeout_ms;
while (!remaining.empty() && !should_break) {
batch_ids.clear();
@@ -171,14 +172,14 @@ Status CoreWorkerPlasmaStoreProvider::Get(
if (remaining_timeout >= 0) {
batch_timeout = std::min(remaining_timeout, batch_timeout);
remaining_timeout -= batch_timeout;
should_break = remaining_timeout <= 0;
timed_out = remaining_timeout <= 0;
}
size_t previous_size = remaining.size();
RAY_RETURN_NOT_OK(FetchAndGetFromPlasmaStore(remaining, batch_ids, batch_timeout,
/*fetch_only=*/false, task_id, results,
got_exception));
should_break = should_break || *got_exception;
should_break = timed_out || *got_exception;
if ((previous_size - remaining.size()) < batch_ids.size()) {
unsuccessful_attempts++;
@@ -194,6 +195,11 @@ Status CoreWorkerPlasmaStoreProvider::Get(
}
}
if (!remaining.empty() && timed_out) {
RAY_RETURN_NOT_OK(raylet_client_->NotifyUnblocked(task_id));
return Status::TimedOut("Get timed out: some object(s) not ready.");
}
// Notify unblocked because we blocked when calling FetchOrReconstruct with
// fetch_only=false.
return raylet_client_->NotifyUnblocked(task_id);
+5 -4
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@@ -683,7 +683,8 @@ TEST_F(SingleNodeTest, TestMemoryStoreProvider) {
RAY_CHECK_OK(provider.Delete(ids_set));
usleep(200 * 1000);
RAY_CHECK_OK(provider.Get(ids_set, 0, RandomTaskId(), &results, &got_exception));
ASSERT_TRUE(
provider.Get(ids_set, 0, RandomTaskId(), &results, &got_exception).IsTimedOut());
ASSERT_TRUE(!got_exception);
ASSERT_EQ(results.size(), 0);
@@ -811,7 +812,7 @@ TEST_F(SingleNodeTest, TestObjectInterface) {
// wait for objects being deleted, so wait a while for plasma store
// to process the command.
usleep(200 * 1000);
RAY_CHECK_OK(core_worker.Get(ids, 0, &results));
ASSERT_TRUE(core_worker.Get(ids, 0, &results).IsTimedOut());
ASSERT_EQ(results.size(), 2);
ASSERT_TRUE(!results[0]);
ASSERT_TRUE(!results[1]);
@@ -872,12 +873,12 @@ TEST_F(TwoNodeTest, TestObjectInterfaceCrossNodes) {
// to process the command.
usleep(1000 * 1000);
// Verify objects are deleted from both machines.
RAY_CHECK_OK(worker2.Get(ids, 0, &results));
ASSERT_TRUE(worker2.Get(ids, 0, &results).IsTimedOut());
ASSERT_EQ(results.size(), 2);
ASSERT_TRUE(!results[0]);
ASSERT_TRUE(!results[1]);
RAY_CHECK_OK(worker1.Get(ids, 0, &results));
ASSERT_TRUE(worker1.Get(ids, 0, &results).IsTimedOut());
ASSERT_EQ(results.size(), 2);
ASSERT_TRUE(!results[0]);
ASSERT_TRUE(!results[1]);