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Handle interrupts correctly for ASIO synchronous reads and writes. #1929
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src/ray/common/client_connection.cc
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@@ -28,14 +28,24 @@ ServerConnection<T>::ServerConnection(boost::asio::basic_stream_socket<T> &&sock | |||
template <class T> | |||
void ServerConnection<T>::WriteBuffer( | |||
const std::vector<boost::asio::const_buffer> &buffer, boost::system::error_code &ec) { | |||
boost::asio::write(socket_, buffer, ec); | |||
// Loop until all bytes are written, and handle system errors. |
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Great find. Can you also add a longer comment here to say something like, "When profiling with pprof, unhandled interrupts would ..."? Usually a good idea to add sufficient details to remind others/self for tricky issues like this one ;)
Test PASSed. |
Test PASSed. |
Test FAILed. |
retest this please |
Test PASSed. |
* master: Handle interrupts correctly for ASIO synchronous reads and writes. (ray-project#1929) [DataFrame] Adding read methods and tests (ray-project#1712) Allow task_table_update to fail when tasks are finished. (ray-project#1927) [rllib] Contribute DDPG to RLlib (ray-project#1877) [xray] Workers blocked in a `ray.get` release their resources (ray-project#1920) Raylet task dispatch and throttling worker startup (ray-project#1912) [DataFrame] Eval fix (ray-project#1903) [tune] Polishing docs (ray-project#1846) [tune] [rllib] Automatically determine RLlib resources and add queueing mechanism for autoscaling (ray-project#1848) Preemptively push local arguments for actor tasks (ray-project#1901) [tune] Allow fetching pinned objects from trainable functions (ray-project#1895) Multithreading refactor for ObjectManager. (ray-project#1911) Add slice functionality (ray-project#1832) [DataFrame] Pass read_csv kwargs to _infer_column (ray-project#1894) Addresses missed comments from multichunk object transfer PR. (ray-project#1908) Allow numpy arrays to be passed by value into tasks (and inlined in the task spec). (ray-project#1816) [xray] Lineage cache requests notifications from the GCS about remote tasks (ray-project#1834) Fix UI issue for non-json-serializable task arguments. (ray-project#1892) Remove unnecessary calls to .hex() for object IDs. (ray-project#1910) Allow multiple raylets to be started on a single machine. (ray-project#1904) # Conflicts: # python/ray/rllib/__init__.py # python/ray/rllib/dqn/dqn.py
* master: updates (ray-project#1958) Pin Cython in autoscaler development example. (ray-project#1951) Incorporate C++ Buffer management and Seal global threadpool fix from arrow (ray-project#1950) [XRay] Add consistency check for protocol between node_manager and local_scheduler_client (ray-project#1944) Remove smart_open install. (ray-project#1943) [DataFrame] Fully implement append, concat and join (ray-project#1932) [DataFrame] Fix for __getitem__ string indexing (ray-project#1939) [DataFrame] Implementing write methods (ray-project#1918) [rllib] arr[end] was excluded when end is not None (ray-project#1931) [DataFrame] Implementing API correct groupby with aggregation methods (ray-project#1914) Handle interrupts correctly for ASIO synchronous reads and writes. (ray-project#1929) [DataFrame] Adding read methods and tests (ray-project#1712) Allow task_table_update to fail when tasks are finished. (ray-project#1927) [rllib] Contribute DDPG to RLlib (ray-project#1877) [xray] Workers blocked in a `ray.get` release their resources (ray-project#1920) Raylet task dispatch and throttling worker startup (ray-project#1912) [DataFrame] Eval fix (ray-project#1903)
This PR fixes any issues due to interrupts during ASIO synchronous reads and writes.
When a system interrupt signal is sent to the raylet process during a synchronous read or write, no bytes are transferred, which causes the ObjectManager protocol to enter an unsupported state. This issue occurred frequently when attempting to profile the raylet process.