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ruby--ruby/doc/ractor.md
Koichi Sasada 79df14c04b Introduce Ractor mechanism for parallel execution
This commit introduces Ractor mechanism to run Ruby program in
parallel. See doc/ractor.md for more details about Ractor.
See ticket [Feature #17100] to see the implementation details
and discussions.

[Feature #17100]

This commit does not complete the implementation. You can find
many bugs on using Ractor. Also the specification will be changed
so that this feature is experimental. You will see a warning when
you make the first Ractor with `Ractor.new`.

I hope this feature can help programmers from thread-safety issues.
2020-09-03 21:11:06 +09:00

23 KiB

Ractor - Ruby's Actor-like concurrent abstraction

Ractor is designed to provide a parallel execution feature fo Ruby without thread-safety concerns.

Summary

Multiple Ractors in an interpreter process

You can make multiple Ractors and they run in parallel.

  • Ractors run in parallel.
  • Interpreter invokes with the first Ractor (called main Ractor).
  • If main Ractor terminated, all Ractors receive terminate request like Threads (if main thread (first invoked Thread), Ruby interpreter sends all running threads to terminate execution).
  • Each Ractor has 1 or more Threads.
    • Threads in a Ractor shares a Ractor-wide global lock like GIL (GVL in MRI terminology), so they can't run in parallel (without releasing GVL explicitly in C-level).
    • The overhead of creating a Ractor is similar to overhead of one Thread creation.

Limited sharing

Ractors don't share everything, unlike threads.

  • Most of objects are Unshareable objects, so you don't need to care about thread-safety problem which is caused by sharing.
  • Some objects are Shareable objects.
    • Immutable objects: frozen object which doesn't refer unshareable-objects.
      • i = 123: i is an immutable object.
      • s = "str".freeze: s is an immutable object.
      • a = [1, [2], 3].freeze: a is not an immutable object because a refer unshareable-object [2] (which is not frozen).
    • Class/Module objects
    • Special shareable objects
      • Ractor object itself.
      • And more...

Two-types communication between Ractors

Ractors communicate each other and synchronize the execution by message exchanging between Ractors. There are two message exchange protocol: push type (message passing) and pull type.

  • Push type message passing: Ractor#send(obj) and Ractor.receive() pair.
    • Sender ractor passes the obj to receiver Ractor.
    • Sender knows a destination Ractor (the receiver of r.send(obj)) and receiver does not know the sender (accept all message from any ractors).
    • Receiver has infinite queue and sender enqueues the message. Sender doesn't block to put message.
    • This type is based on actor model
  • Pull type communication: Ractor.yield(obj) and Ractor#take() pair.
    • Sender ractor declare to yield the obj and receiver Ractor take it.
    • Sender doesn't know a destination Ractor and receiver knows the sender (the receiver of r.take).
    • Sender or receiver will block if there is no other side.

Copy & Move semantics to send messages

To send unshareable objects as messages, objects are copied or moved.

  • Copy: use deep-copy (like dRuby)
  • Move: move membership
    • Sender can not access to the moved object after moving the object.
    • Guarantee that at least only 1 Ractor can access the object.

Thread-safety

Ractor helps to write a thread-safe program, but we can make thread-unsafe programs with Ractors.

  • GOOD: Sharing limitation
    • Most of objects are unshareable, so we can't make data-racy and race-conditional programs.
    • Shareable objects are protected by an interpreter or locking mechanism.
  • BAD: Class/Module can violate this assumption
    • To make compatible with old behavior, classes and modules can introduce data-race and so on.
    • Ruby programmer should take care if they modify class/module objects on multi Ractor programs.
  • BAD: Ractor can't solve all thread-safety problems
    • There are several blocking operations (waiting send, waiting yield and waiting take) so you can make a program which has dead-lock and live-lock issues.
    • Some kind of shareable objects can introduce transactions (STM, for example). However, misusing transactions will generate inconsistent state.

Without Ractor, we need to trace all of state-mutations to debug thread-safety issues. With Ractor, you can concentrate to suspicious

Creation and termination

Ractor.new

  • Ractor.new do expr end generates another Ractor.
# Ractor.new with a block creates new Ractor
r = Ractor.new do
  # This block will be run in parallel
end

# You can name a Ractor with `name:` argument.
r = Ractor.new name: 'test-name' do
end

# and Ractor#name returns its name.
r.name #=> 'test-name'

Given block isolation

The Ractor execute given expr in a given block. Given block will be isolated from outer scope by Proc#isolate.

# To prevent sharing unshareable objects between ractors, 
# block outer-variables, `self` and other information are isolated.
# Given block will be isolated by `Proc#isolate` method.
# `Proc#isolate` is called at Ractor creation timing (`Ractor.new` is called)
# and it can cause an error if block accesses outer variables.

begin
  a = true
  r = Ractor.new do
    a #=> ArgumentError because this block accesses `a`.
  end
  r.take # see later
rescue ArgumentError
end
  • The self of the given block is Ractor object itself.
r = Ractor.new do
  self.object_id
end
r.take == self.object_id #=> false

Passed arguments to Ractor.new() becomes block parameters for the given block. However, an interpreter does not pass the parameter object references, but send as messages (see bellow for details).

r = Ractor.new 'ok' do |msg|
  msg #=> 'ok'
end
r.take #=> 'ok'
# almost similar to the last example
r = Ractor.new do
  msg = Ractor.recv
  msg
end
r.send 'ok'
r.take #=> 'ok'

An execution result of given block

Return value of the given block becomes an outgoing message (see bellow for details).

r = Ractor.new do
  'ok'
end
r.take #=> `ok`
# almost similar to the last example
r = Ractor.new do
  Ractor.yield 'ok'
end
r.take #=> 'ok'

Error in the given block will be propagated to the receiver of an outgoing message.

r = Ractor.new do
  raise 'ok' # exception will be transferred receiver
end

begin
  r.take
rescue Ractor::RemoteError => e
  e.cause.class   #=> RuntimeError
  e.cause.message #=> 'ok'
  e.ractor        #=> r
end

Communication between Ractors

Communication between Ractors is achieved by sending and receiving messages.

  • (1) Message sending/receiving
    • (1-1) push type send/recv (sender knows receiver). similar to the Actor model.
    • (1-2) pull type yield/take (receiver knows sender).
  • (2) Using shareable container objects (not implemented yet)

Users can control blocking on (1), but should not control on (2) (only manage as critical section).

  • (1-1) send/recv (push type)
    • Ractor#send(obj) (Ractor#<<(obj) is an aliases) send a message to the Ractor's incoming port. Incoming port is connected to the infinite size incoming queue so Ractor#send will never block.
    • Ractor.recv dequeue a message from own incoming queue. If the incoming queue is empty, Ractor.recv calling will block.
  • (1-2) yield/take (pull type)
    • Ractor.yield(obj) send an message to a Ractor which are calling Ractor#take via outgoing port . If no Ractors are waiting for it, the Ractor.yield(obj) will block. If multiple Ractors are waiting for Ractor.yield(obj), only one Ractor can receive the message.
    • Ractor#take receives a message which is waiting by Ractor.yield(obj) method from the specified Ractor. If the Ractor does not call Ractor.yield yet, the Ractor#take call will block.
  • Ractor.select() can wait for the success of take, yield and recv.
  • You can close the incoming port or outgoing port.
    • You can close then with Ractor#close_incoming and Ractor#close_outgoing.
    • If the incoming port is closed for a Ractor, you can't send to the Ractor. If Ractor.recv is blocked for the closed incoming port, then it will raise an exception.
    • If the outgoing port is closed for a Ractor, you can't call Ractor#take and Ractor.yield on the Ractor. If Ractor#take is blocked for the Ractor, then it will raise an exception.
    • When a Ractor is terminated, the Ractor's ports are closed.
  • There are 3 methods to send an object as a message
    • (1) Send a reference: Send a shareable object, send only a reference to the object (fast)
    • (2) Copy an object: Send an unshareable object by copying deeply and send copied object (slow). Note that you can not send an object which is not support deep copy. Current implementation uses Marshal protocol to get deep copy.
    • (3) Move an object: Send an unshareable object reference with a membership. Sender Ractor can not access moved objects anymore (raise an exception). Current implementation makes new object as a moved object for receiver Ractor and copy references of sending object to moved object.
    • You can choose "Copy" and "Send" as a keyword for Ractor#send(obj) and Ractor.yield(obj) (default is "Copy").

Sending/Receiving ports

Each Ractor has incoming-port and outgoing-port. Incoming-port is connected to the infinite sized incoming queue.

                  Ractor r
                 +-------------------------------------------+
                 | incoming                         outgoing |
                 | port                                 port |
   r.send(obj) ->*->[incoming queue]     Ractor.yield(obj) ->*-> r.take
                 |                |                          |
                 |                v                          |
                 |           Ractor.recv                     |
                 +-------------------------------------------+


Connection example: r2.send obj on r1、Ractor.recv on r2
  +----+     +----+
  * r1 |-----* r2 *
  +----+     +----+


Connection example: Ractor.yield(obj) on r1, r1.take on r2
  +----+     +----+
  * r1 *------ r2 *
  +----+     +----+

Connection example: Ractor.yield(obj) on r1 and r2,
                    and waiting for both simultaneously by Ractor.select(r1, r2)

  +----+
  * r1 *------+
  +----+      |
              +----- Ractor.select(r1, r2)
  +----+      |
  * r2 *------|
  +----+
  r = Ractor.new do
    msg = Ractor.recv # Receive from r's incoming queue
    msg # send back msg as block return value
  end
  r.send 'ok' # Send 'ok' to r's incoming port -> incoming queue
  r.take      # Receive from r's outgoing port
  # Actual argument 'ok' for `Ractor.new()` will be send to created Ractor. 
  r = Ractor.new 'ok' do |msg|
    # Values for formal parameters will be received from incoming queue.
    # Similar to: msg = Ractor.recv

    msg # Return value of the given block will be sent via outgoing port
  end

  # receive from the r's outgoing port.
  r.take #=> `ok`

Wait for multiple Ractors with Ractor.select

You can wait multiple Ractor's yield with Ractor.select(*ractors). The return value of Ractor.select() is [r, msg] where r is yielding Ractor and msg is yielded message.

Wait for a single ractor (same as Ractor.take):

r1 = Ractor.new{'r1'}

r, obj = Ractor.select(r1)
r == r1 and obj == 'r1' #=> true

Wait for two ractors:

r1 = Ractor.new{'r1'}
r2 = Ractor.new{'r2'}
rs = [r1, r2]
as = []

# Wait for r1 or r2's Ractor.yield
r, obj = Ractor.select(*rs)
rs.delete(r)
as << obj

# Second try (rs only contain not-closed ractors)
r, obj = Ractor.select(*rs)
rs.delete(r)
as << obj
as.sort == ['r1', 'r2'] #=> true

Complex example:

  pipe = Ractor.new do
    loop do
      Ractor.yield Ractor.recv
    end
  end

  RN = 10
  rs = RN.times.map{|i|
    Ractor.new pipe, i do |pipe, i|
      msg = pipe.take
      msg # ping-pong
    end
  }
  RN.times{|i|
    pipe << i
  }
  RN.times.map{
    r, n = Ractor.select(*rs)
    rs.delete r
    n
  }.sort #=> [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

Multiple Ractors can send to one Ractor.

# Create 10 ractors and they send objects to pipe ractor.
# pipe ractor yield received objects

  pipe = Ractor.new do
    loop do
      Ractor.yield Ractor.recv
    end
  end

  RN = 10
  rs = RN.times.map{|i|
    Ractor.new pipe, i do |pipe, i|
      pipe << i
    end
  }

  RN.times.map{
    pipe.take
  }.sort #=> [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

TODO: Current Ractor.select() has same issue of select(2), so this interface should be refined.

TODO: select syntax of go-language uses round-robbin technique to make fair scheduling. Now Ractor.select() doesn't use it.

Closing Ractor's ports

  • Ractor#close_incoming/outgoing close incoming/outgoing ports (similar to Queue#close).
  • Ractor#close_incoming
    • r.send(obj) where r's incoming port is closed, will raise an exception.
    • When the incoming queue is empty and incoming port is closed, Ractor.recv raise an exception. If incoming queue is not empty, it dequeues an object.
  • Ractor#close_outgoing
    • Ractor.yield on a Ractor which closed the outgoing port, it will raise an exception.
    • Ractor#take for a Ractor which closed the outgoing port, it will raise an exception. If Ractor#take is blocking, it will raise an exception.
  • When a Ractor terminates, the ports are closed automatically.
    • Return value of the Ractor's block will be yield as Ractor.yield(ret_val), even if the implementation terminate the based native thread.

Example (try to take from closed Ractor):

  r = Ractor.new do
    'finish'
  end
  r.take # success (will return 'finish')
  begin
    o = r.take # try to take from closed Ractor
  rescue Ractor::ClosedError
    'ok'
  else
    "ng: #{o}"
  end

Example (try to send to closed (terminated) Ractor):

  r = Ractor.new do
  end

  r.take # wait terminate

  begin
    r.send(1)
  rescue Ractor::ClosedError
    'ok'
  else
    'ng'
  end

When multiple Ractors waiting for Ractor.yield(), Ractor#close_outgoing will cancel all blocking by raise an exception (ClosedError).

Send a message by copying

Ractor#send(obj) or Ractor.yield(obj) copy obj deeply if obj is an unshareable object.

obj = 'str'.dup
r = Ractor.new obj do |msg|
  # return received msg's object_id
  msg.object_id
end
  
obj.object_id == r.take #=> false

Current implementation uses Marshal protocol (similar to dRuby). We can not send Marshal unsupported objects.

obj = Thread.new{}
begin
  Ractor.new obj do |msg|
    msg
  end
rescue TypeError => e
  e.message #=> no _dump_data is defined for class Thread
else
  'ng' # unreachable here
end

Send a message by moving

Ractor#send(obj, move: true) or Ractor.yield(obj, move: true) move obj to the destination Ractor. If the source Ractor touches the moved object (for example, call the method like obj.foo()), it will be an error.

# move with Ractor#send
r = Ractor.new do
  obj = Ractor.recv
  obj << ' world'
end

str = 'hello'
r.send str, move: true
modified = r.take #=> 'hello world'

# str is moved, and accessing str from this Ractor is prohibited

begin
  # Error because it touches moved str.
  str << ' exception' # raise Ractor::MovedError
rescue Ractor::MovedError
  modified #=> 'hello world'
else
  raise 'unreachable'
end
  # move with Ractor.yield
  r = Ractor.new do
    obj = 'hello'
    Ractor.yield obj, move: true
    obj << 'world'  # raise Ractor::MovedError
  end

  str = r.take
  begin
    r.take 
  rescue Ractor::RemoteError
    p str #=> "hello"
  end

Now only T_FILE, T_STRING and T_ARRAY objects are supported.

  • T_FILE (IO, File): support to send accepted socket etc.
  • T_STRING (String): support to send a huge string without copying (fast).
  • T_ARRAY (`Array'): support to send a huge Array without re-allocating the array's buffer. However, all of referred objects from the array should be moved, so it is not so fast.

To achieve the access prohibition for moved objects, class replacement technique is used to implement it.

Shareable objects

The following objects are shareable.

  • Immutable objects
    • Small integers, some symbols, true, false, nil (a.k.a. SPECIAL_CONST_P() objects in internal)
    • Frozen native objects
      • Numeric objects: Float, Complex, Rational, big integers (T_BIGNUM in internal)
      • All Symbols.
    • Frozen String and Regexp objects (which does not have instance variables)
    • In future, "Immutable" objects (frozen and only refer shareable objects) will be supported (TODO: introduce an immutable flag for objects?)
  • Class, Module objects (T_CLASS, T_MODULE and T_ICLASS in internal)
  • Ractor and other objects which care about synchronization.

Implementation: Now shareable objects (RVALUE) have FL_SHAREABLE flag. This flag can be added lazily.

  r = Ractor.new do
    while v = Ractor.recv
      Ractor.yield v
    end
  end

  class C
  end

  shareable_objects = [1, :sym, 'xyzzy'.to_sym, 'frozen'.freeze, 1+2r, 3+4i, /regexp/, C]

  shareable_objects.map{|o|
    r << o
    o2 = r.take
    [o, o.object_id == o2.object_id]
  }
  #=> [[1, true], [:sym, true], [:xyzzy, true], [\"frozen\", true], [(3/1), true], [(3+4i), true], [/regexp/, true], [C, true]]

  unshareable_objects = ['mutable str'.dup, [:array], {hash: true}].map{|o|
    r << o
    o2 = r.take
    [o, o.object_id == o2.object_id]
  }
  #+> "[[\"mutable str\", false], [[:array], false], [{:hash=>true}, false]]]"

Language changes to isolate unshareable objects between Ractors

To isolate unshareable objects between Ractors, we introduced additional language semantics on multi-Ractor.

Note that without using Ractors, these additional semantics is not needed (100% compatible with Ruby 2).

Global variables

Only main Ractor (a Ractor created at starting of interpreter) can access global variables.

  $gv = 1
  r = Ractor.new do
    $gv
  end

  begin
    r.take
  rescue Ractor::RemoteError => e
    e.cause.message #=> 'can not access global variables from non-main Ractors'
  end

Instance variables of shareable objects

Only main Ractor can access instance variables of shareable objects.

  class C
    @iv = 'str'
  end

  r = Ractor.new do
    class C
      p @iv
    end
  end


  begin
    r.take
  rescue => e
    e.class #=> RuntimeError
  end
  shared = Ractor.new{}
  shared.instance_variable_set(:@iv, 'str')

  r = Ractor.new shared do |shared|
    p shared.instance_variable_get(:@iv)
  end

  begin
    r.take
  rescue Ractor::RemoteError => e
    e.cause.message #=> can not access instance variables of shareable objects from non-main Ractors
  end

Note that instance variables for class/module objects are also prohibited on Ractors.

Class variables

Only main Ractor can access class variables.

  class C
    @@cv = 'str'
  end

  r = Ractor.new do
    class C
      p @@cv
    end
  end


  begin
    r.take
  rescue => e
    e.class #=> RuntimeError
  end

Constants

Only main Ractor can read constants which refer to the unshareable object.

  class C
    CONST = 'str'
  end
  r = Ractor.new do
    C::CONST
  end
  begin
    r.take
  rescue => e
    e.class #=> NameError
  end

Only main Ractor can define constants which refer to the unshareable object.

  class C
  end
  r = Ractor.new do
    C::CONST = 'str'
  end
  begin
    r.take
  rescue => e
    e.class #=> NameError
  end

Implementation note

  • Each Ractor has its own thread, it means each Ractor has at least 1 native thread.
  • Each Ractor has its own ID (rb_ractor_t::id).
    • On debug mode, all unshareable objects are labeled with current Ractor's id, and it is checked to detect unshareable object leak (access an object from different Ractor) in VM.

Examples

Traditional Ring example in Actor-model

RN = 1000
CR = Ractor.current

r = Ractor.new do
  p Ractor.recv
  CR << :fin
end

RN.times{
  Ractor.new r do |next_r|
    next_r << Ractor.recv
  end
}

p :setup_ok
r << 1
p Ractor.recv

Fork-join

def fib n
  if n < 2
    1
  else
    fib(n-2) + fib(n-1)
  end
end

RN = 10
rs = (1..RN).map do |i|
  Ractor.new i do |i|
    [i, fib(i)]
  end
end

until rs.empty?
  r, v = Ractor.select(*rs)
  rs.delete r
  p answer: v
end

Worker pool

require 'prime'

pipe = Ractor.new do
  loop do
    Ractor.yield Ractor.recv
  end
end

N = 1000
RN = 10
workers = (1..RN).map do
  Ractor.new pipe do |pipe|
    while n = pipe.take
      Ractor.yield [n, n.prime?]
    end
  end
end

(1..N).each{|i|
  pipe << i
}

pp (1..N).map{
  _r, (n, b) = Ractor.select(*workers)
  [n, b]
}.sort_by{|(n, b)| n}

Pipeline

# pipeline with yield/take
r1 = Ractor.new do
  'r1'
end

r2 = Ractor.new r1 do |r1|
  r1.take + 'r2'
end

r3 = Ractor.new r2 do |r2|
  r2.take + 'r3'
end

p r3.take #=> 'r1r2r3'
# pipeline with send/recv

r3 = Ractor.new Ractor.current do |cr|
  cr.send Ractor.recv + 'r3'
end

r2 = Ractor.new r3 do |r3|
  r3.send Ractor.recv + 'r2'
end

r1 = Ractor.new r2 do |r2|
  r2.send Ractor.recv + 'r1'
end

r1 << 'r0'
p Ractor.recv #=> "r0r1r2r3"

Supervise

# ring example again

r = Ractor.current
(1..10).map{|i|
  r = Ractor.new r, i do |r, i|
    r.send Ractor.recv + "r#{i}"
  end
}

r.send "r0"
p Ractor.recv #=> "r0r10r9r8r7r6r5r4r3r2r1"
# ring example with an error

r = Ractor.current
rs = (1..10).map{|i|
  r = Ractor.new r, i do |r, i|
    loop do
      msg = Ractor.recv
      raise if /e/ =~ msg
      r.send msg + "r#{i}"
    end
  end
}

r.send "r0"
p Ractor.recv #=> "r0r10r9r8r7r6r5r4r3r2r1"
r.send "r0"
p Ractor.select(*rs, Ractor.current) #=> [:recv, "r0r10r9r8r7r6r5r4r3r2r1"]
[:recv, "r0r10r9r8r7r6r5r4r3r2r1"]
r.send "e0"
p Ractor.select(*rs, Ractor.current)
#=>
#<Thread:0x000056262de28bd8 run> terminated with exception (report_on_exception is true):
Traceback (most recent call last):
        2: from /home/ko1/src/ruby/trunk/test.rb:7:in `block (2 levels) in <main>'
        1: from /home/ko1/src/ruby/trunk/test.rb:7:in `loop'
/home/ko1/src/ruby/trunk/test.rb:9:in `block (3 levels) in <main>': unhandled exception
Traceback (most recent call last):
        2: from /home/ko1/src/ruby/trunk/test.rb:7:in `block (2 levels) in <main>'
        1: from /home/ko1/src/ruby/trunk/test.rb:7:in `loop'
/home/ko1/src/ruby/trunk/test.rb:9:in `block (3 levels) in <main>': unhandled exception
        1: from /home/ko1/src/ruby/trunk/test.rb:21:in `<main>'
<internal:ractor>:69:in `select': thrown by remote Ractor. (Ractor::RemoteError)
# resend non-error message

r = Ractor.current
rs = (1..10).map{|i|
  r = Ractor.new r, i do |r, i|
    loop do
      msg = Ractor.recv
      raise if /e/ =~ msg
      r.send msg + "r#{i}"
    end
  end
}

r.send "r0"
p Ractor.recv #=> "r0r10r9r8r7r6r5r4r3r2r1"
r.send "r0"
p Ractor.select(*rs, Ractor.current)
[:recv, "r0r10r9r8r7r6r5r4r3r2r1"]
msg = 'e0'
begin
  r.send msg
  p Ractor.select(*rs, Ractor.current)
rescue Ractor::RemoteError
  msg = 'r0'
  retry
end

#=> <internal:ractor>:100:in `send': The incoming-port is already closed (Ractor::ClosedError)
# because r == r[-1] is terminated.
# ring example with supervisor and re-start

def make_ractor r, i
  Ractor.new r, i do |r, i|
    loop do
      msg = Ractor.recv
      raise if /e/ =~ msg
      r.send msg + "r#{i}"
    end
  end
end

r = Ractor.current
rs = (1..10).map{|i|
  r = make_ractor(r, i)
}

msg = 'e0' # error causing message
begin
  r.send msg
  p Ractor.select(*rs, Ractor.current)
rescue Ractor::RemoteError
  r = rs[-1] = make_ractor(rs[-2], rs.size-1)
  msg = 'x0'
  retry
end

#=> [:recv, "x0r9r9r8r7r6r5r4r3r2r1"]