* Define execution dependencies flatbuffer and add to Redis commands
* Convert TaskSpec to TaskExecutionSpec
* Add execution dependencies to Python bindings
* Submitting actor tasks uses execution dependency API instead of dummy argument
* Fix dependency getters and some cleanup for fetching missing dependencies
* C++ convention
* Make TaskExecutionSpec a C++ class
* Convert local scheduler to use TaskExecutionSpec class
* Convert some pointers to references
* Finish conversion to TaskExecutionSpec class
* fix
* Fix
* Fix memory errors?
* Cast flatbuffers GetSize to size_t
* Fixes
* add more retries in global scheduler unit test
* fix linting and cast fbb.GetSize to size_t
* Style and doc
* Fix linting and simplify from_flatbuf.
* Enable scheduling with custom resource labels.
* Fix.
* Minor fixes and ref counting fix.
* Linting
* Use .data() instead of .c_str().
* Fix linting.
* Fix ResourcesTest.testGPUIDs test by waiting for workers to start up.
* Sleep in test so that all tasks are submitted before any completes.
* wip
* with test
* add timeout
* also add test for f
* remove on cleanup
* update
* wip
* fix tests
* mark actor removed in redis
* clang-format
* fix bug when no-inprogress tasks
* try to set task status done
* Add comment.
* Plasma client test for plasma abort
* Use ray-project/arrow:abort-objects branch
* Set plasma manager connection cursor to -1 when not in use
* Handle transfer errors between plasma managers, abort unsealed objects
* Add TODO for local scheduler exiting on plasma manager death
* Revert "Plasma client test for plasma abort"
This reverts commit e00fbd58dc4a632f58383549b19fb9057b305a14.
* Upgrade arrow to version with PlasmaClient::Abort
* Fix plasma manager test
* Fix plasma test
* Temporarily use arrow fork for testing
* fix and set arrow commit
* Fix plasma test
* Fix plasma manager test and make write_object_chunk consistent with read_object_chunk
* style
* upgrade arrow
* Initial pass at factoring out C++ configuration into a single file.
* Expose config through Python.
* Forward declarations.
* Fixes with Python extensions
* Remove old code.
* Consistent naming for constants.
* Fixes
* Fix linting.
* More linting.
* Whitespace
* rename config -> _config.
* Move config inside a class.
* update naming convention
* Fix linting.
* More linting
* More linting.
* Add in some more constants.
* Fix linting
* Add actor handle ID to the task spec
* Local scheduler dispatches actor tasks according to a task counter per handle
* Fix python test
* Allow passing actor handles into tasks. Not completely working yet. Also this is very messy.
* Fixes, should be roughly working now.
* Refactor actor handle wrapper
* Fix __init__ tests
* Terminate actor when the original handle goes out of scope
* TODO and a couple test cases
* Make tests for unsupported cases
* Fix Python mode tests
* Linting.
* Cache actor definitions that occur before ray.init() is called.
* Fix export actor class
* Deterministically compute actor handle ID
* Fix __getattribute__
* Fix string encoding for python3
* doc
* Add comment and assertion.
* Compile global scheduler with -Werror -Wall.
* Compile plasma manager with -Werror -Wall.
* Compile local scheduler with -Werror -Wall.
* Compile common code with -Werror -Wall.
* Signed/unsigned comparisons.
* More signed/unsigned fixes.
* More signed/unsigned fixes and added extern keyword.
* Fix linting.
* Don't check strict-aliasing because Python.h doesn't pass.
* Worker reports error in previous task, actor task counter is incremented after task is successful
* Refactor actor task execution
- Return new task counter in GetTaskRequest
- Update worker state for actor tasks inside of the actor method
executor
* Manually invoked checkpoint method
* Scheduling for actor checkpoint methods
* Fix python bugs in checkpointing
* Return task success from worker to local scheduler instead of actor counter
* Kill local schedulers halfway through actor execution instead of waiting for all tasks to execute once
* Remove redundant actor tasks during dispatch, reconstruct missing dependencies for actor tasks
* Make executor for temporary actor methods
* doc
* Set default argument for whether the previous task was a success
* Refactor actor method call
* Simplify checkpoint task submission
* lint
* fix philipp's comments
* Add missing line
* Make actor reconstruction tests run faster
* Unimportant whitespace.
* Unimportant whitespace.
* Update checkpoint method signature
* Documentation and handle exceptions during checkpoint save/resume
* Rename get_task message field to actor_checkpoint_failed
* Fix bug.
* Remove debugging check, redirect test output
* When a task is passed to the global scheduler, if it is not received, then try again.
* Call give_task_to_global_scheduler directly (same with local).
* Fix bug in wait_for_pid_to_exit, add test for actor deletion.
* Fix actor garbage collection by breaking cyclic references
* Add test for calling actor method immediately after actor creation.
* Fix bug, must dispatch tasks when workers are killed.
* Fix python test
* Fix cyclic reference problem by creating ActorMethod objects on the fly.
* Try simply increasing the time allowed for many_drivers_test.py.
* Local scheduler sends a null heartbeat to global scheduler to notify death
* Add whitespace.
* Speed up component failures test
* Free local scheduler state upon plasma manager disconnection
* Revert Python actor reconstruction
* Actor reconstruction using object lineage
* Add dummy arguments and return values for actor tasks
* Pin dummy outputs for actor tasks
* Skip checkpointing test for now
* TODOs
* minor edits
* Generate dummy object dependencies in Python, not C
* Fix linting.
* Move actor counter and dummy objects inside of the actor handle
* Refactor Worker._process_task, suppress exception propagation for
sequential actor tasks
* Remove race between local scheduler disconnecting and global scheduler
assigning a task
* Fix number of workers started in component failures test
* Fix race between global scheduler retrying a task assignment and monitor
cleaning up task table. The global scheduler should only retry the task
assignment if the local scheduler is still alive.
* Clean up task_table_update callback if failure
* Look up current local scheduler mapping when retrying actor task submission
* Log warning if no subscribers received a task table update
* Clean up database handle memory in local scheduler
* adding support for the user-interpretable label(UIR)
* more plumbing for num_uirs further upstream; set to infty when specified on cmd line
* pass default num_uirs for actors; update GlobalStateAPI
* support num_uirs in ray.init()
* local scheduler resource accounting: support num_uirs; prep for vectorized resource accounting
* global scheduler test updated
* Fix bug introduced by rebase.
* Rename UIR -> CustomResource and add test.
* Small changes and use constexpr instead of macros.
* Linting and some renaming.
* Reorder some code.
* Remove cpus_in_use and fix bug.
* Add another test and make a small change.
* Rephrase documentation about feature stability.
* Reconstruct actor state when local schedulers fail.
* Simplify construction of arguments to pass into default_worker.py from local scheduler.
* Remove deprecated ray.actor.
* Simplify actor reconstruction method.
* Fix linting.
* Small fixes.
* Rebase Ray on top of Plasma in Apache Arrow
* add thirdparty building scripts
* use rebased arrow
* fix
* fix build
* fix python visibility
* comment out C tests for now
* fix multithreading
* fix
* reduce logging
* fix plasma manager multithreading
* make sure old and new object IDs can coexist peacefully
* more rebasing
* update
* fixes
* fix
* install pyarrow
* install cython
* fix
* install newer cmake
* fix
* rebase on top of latest arrow
* getting runtest.py run locally (needed to comment out a test for that to work)
* work on plasma tests
* more fixes
* fix local scheduler tests
* fix global scheduler test
* more fixes
* fix python 3 bytes vs string
* fix manager tests valgrind
* fix documentation building
* fix linting
* fix c++ linting
* fix linting
* add tests back in
* Install without sudo.
* Set PKG_CONFIG_PATH in build.sh so that Ray can find plasma.
* Install pkg-config
* Link -lpthread, note that find_package(Threads) doesn't seem to work reliably.
* Comment in testGPUIDs in runtest.py.
* Set PKG_CONFIG_PATH when building pyarrow.
* Pull apache/arrow and not pcmoritz/arrow.
* Fix installation in docker image.
* adapt to changes of the plasma api
* Fix installation of pyarrow module.
* Fix linting.
* Use correct python executable to build pyarrow.
* Don't reconstruct all objects in every fetch request in local scheduler.
* Separate out fetch timer and reconstruction timer.
* Fix bug.
* Bug fix.
* Fix naming convention for global variables.
* Address comments.
* Make reconstruct_counter a static variable.
* Fix linting.
* Redo reconstruct handler using a set of objects to fetch.
* Fix linting.
* Replace set with vector.
* Dispatch regular and actor tasks when resources become available.
* Make actor methods do resource bookkeeping and add test.
* Remove unnecessary field.
* Fix linting.
* Fix actor test.
* Maintain set of actors with pending tasks to speed up task dispatch.
* Exit early from task dispatch if there are no resources available.
* Fix linting.
* Fix error.
* Fix bug related to iterator invalidation.
* When an actor is removed, remove it from the set of actors with pending tasks.
* Replace a local scheduler ut_array with a std::vector.
* Replace vector of sizes in local scheduler with std::pair.
* Remove utarray include.
* Replace utarray with std::vector for reading local scheduler input messages.
* Remove more UT data structures.
* Remove UT includes.
* Fix linting.
* Include stdlib.h to find size_t.
* Remove includes of stdbool.h.
* Replace std::pair with TaskQueueEntry.
* Fix redis tests.
* Reinstate tests.
* 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
* Change local scheduler bookkeeping to use GPU IDs.
* Update actor test.
* Add tests for actors and tasks simultaneously using GPUs.
* Add additional task GPU ID test.
* Fix linting.
* Make redis GPU assignment ignore GPU IDs.
* Small fix.
* copy task specifications put into the actor task cache so it won't get overwritten when the scheduler receives the next task
* cleanup
* cleanup and fix
* linting
* fix jenkins test
* fix linting
* Clean up state when drivers exit.
* Remove unnecessary field in ActorMapEntry struct.
* Have monitor release GPU resources in Redis when driver exits.
* Enable multiple drivers in multi-node tests and test driver cleanup.
* Make redis GPU allocation a redis transaction and small cleanups.
* Fix multi-node test.
* Small cleanups.
* Make global scheduler take node_ip_address so it appears in the right place in the client table.
* Cleanups.
* Fix linting and cleanups in local scheduler.
* Fix removed_driver_test.
* Fix bug related to vector -> list.
* Fix linting.
* Cleanup.
* Fix multi node tests.
* Fix jenkins tests.
* Add another multi node test with many drivers.
* Fix linting.
* Make the actor creation notification a flatbuffer message.
* Revert "Make the actor creation notification a flatbuffer message."
This reverts commit af99099c8084dbf9177fb4e34c0c9b1a12c78f39.
* Add comment explaining flatbuffer problems.
* Convert more local scheduler data structures to C++ STL.
* Convert vector pointer to vector.
* Convert some of the UT_arrays to std::vector.
* Simplify worker vectors.
* Simplify remote_object and local_object containers.
* Change some unnecessary checks to DCHECK.
* Switch to using C++ lists for task queues
* Init and free methods for TaskQueueEntry
* Switch from utarray to c++ vector for TaskQueueEntry
* Get rid of some pointers
* Back to O(1) deletion from waiting_task_queue
* Fix comments
* Cut code
* Non const iterators
* Fix Alexey's comments
* Fix worker blocked bug
* tmp
* Push an error to the driver on ray.put for non-driver tasks
* Fix result table tests
* Fix test, logging
* Address comments
* Fix suppression bug
* Fix redis module test
* Edit error message
* Get values in chunks during reconstruction
* Test case for driver ray.put errors
* Error for evicting ray.put objects from the driver
* Fix tests
* Reduce verbosity
* Documentation
* Clean up plasma subscribers on EPIPE
First pass at a monitoring script - monitor can detect local scheduler death
Clean up task table upon local scheduler death in monitoring script
Don't schedule to dead local schedulers in global scheduler
Have global scheduler update the db clients table, monitor script cleans up state
Documentation
Monitor script should scan tables before beginning to read from subscription channel
Fix for python3
Redirect monitor output to redis logs, fix hanging in multinode tests
* Publish auxiliary addresses as part of db_client deletion notifications
* Fix test case?
* Small changes.
* Use SCAN instead of KEYS
* Address comments
* Address more comments
* Free redis module strings
