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mollusk
2018-02-10 10:27:19 -07:00
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# This file is a part of Julia. License is MIT: https://julialang.org/license
# Built-in SSH and Local Managers
struct SSHManager <: ClusterManager
machines::Dict
function SSHManager(machines)
# machines => array of machine elements
# machine => address or (address, cnt)
# address => string of form `[user@]host[:port] bind_addr[:bind_port]`
# cnt => :auto or number
# :auto launches NUM_CORES number of workers at address
# number launches the specified number of workers at address
mhist = Dict()
for m in machines
if isa(m, Tuple)
host=m[1]
cnt=m[2]
else
host=m
cnt=1
end
current_cnt = get(mhist, host, 0)
if isa(cnt, Number)
mhist[host] = isa(current_cnt, Number) ? current_cnt + Int(cnt) : Int(cnt)
else
mhist[host] = cnt
end
end
new(mhist)
end
end
function check_addprocs_args(kwargs)
valid_kw_names = collect(keys(default_addprocs_params()))
for keyname in kwargs
!(keyname[1] in valid_kw_names) && throw(ArgumentError("Invalid keyword argument $(keyname[1])"))
end
end
# SSHManager
# start and connect to processes via SSH, optionally through an SSH tunnel.
# the tunnel is only used from the head (process 1); the nodes are assumed
# to be mutually reachable without a tunnel, as is often the case in a cluster.
# Default value of kw arg max_parallel is the default value of MaxStartups in sshd_config
# A machine is either a <hostname> or a tuple of (<hostname>, count)
"""
addprocs(machines; tunnel=false, sshflags=\`\`, max_parallel=10, kwargs...) -> List of process identifiers
Add processes on remote machines via SSH. Requires `julia` to be installed in the same
location on each node, or to be available via a shared file system.
`machines` is a vector of machine specifications. Workers are started for each specification.
A machine specification is either a string `machine_spec` or a tuple - `(machine_spec, count)`.
`machine_spec` is a string of the form `[user@]host[:port] [bind_addr[:port]]`. `user`
defaults to current user, `port` to the standard ssh port. If `[bind_addr[:port]]` is
specified, other workers will connect to this worker at the specified `bind_addr` and
`port`.
`count` is the number of workers to be launched on the specified host. If specified as
`:auto` it will launch as many workers as the number of cores on the specific host.
Keyword arguments:
* `tunnel`: if `true` then SSH tunneling will be used to connect to the worker from the
master process. Default is `false`.
* `sshflags`: specifies additional ssh options, e.g. ```sshflags=\`-i /home/foo/bar.pem\````
* `max_parallel`: specifies the maximum number of workers connected to in parallel at a
host. Defaults to 10.
* `dir`: specifies the working directory on the workers. Defaults to the host's current
directory (as found by `pwd()`)
* `enable_threaded_blas`: if `true` then BLAS will run on multiple threads in added
processes. Default is `false`.
* `exename`: name of the `julia` executable. Defaults to `"\$JULIA_HOME/julia"` or
`"\$JULIA_HOME/julia-debug"` as the case may be.
* `exeflags`: additional flags passed to the worker processes.
* `topology`: Specifies how the workers connect to each other. Sending a message between
unconnected workers results in an error.
+ `topology=:all_to_all`: All processes are connected to each other. The default.
+ `topology=:master_slave`: Only the driver process, i.e. `pid` 1 connects to the
workers. The workers do not connect to each other.
+ `topology=:custom`: The `launch` method of the cluster manager specifies the
connection topology via fields `ident` and `connect_idents` in `WorkerConfig`.
A worker with a cluster manager identity `ident` will connect to all workers specified
in `connect_idents`.
Environment variables :
If the master process fails to establish a connection with a newly launched worker within
60.0 seconds, the worker treats it as a fatal situation and terminates.
This timeout can be controlled via environment variable `JULIA_WORKER_TIMEOUT`.
The value of `JULIA_WORKER_TIMEOUT` on the master process specifies the number of seconds a
newly launched worker waits for connection establishment.
"""
function addprocs(machines::AbstractVector; tunnel=false, sshflags=``, max_parallel=10, kwargs...)
check_addprocs_args(kwargs)
addprocs(SSHManager(machines); tunnel=tunnel, sshflags=sshflags, max_parallel=max_parallel, kwargs...)
end
function launch(manager::SSHManager, params::Dict, launched::Array, launch_ntfy::Condition)
# Launch one worker on each unique host in parallel. Additional workers are launched later.
# Wait for all launches to complete.
launch_tasks = Vector{Any}(length(manager.machines))
for (i,(machine, cnt)) in enumerate(manager.machines)
let machine=machine, cnt=cnt
launch_tasks[i] = @schedule try
launch_on_machine(manager, machine, cnt, params, launched, launch_ntfy)
catch e
print(STDERR, "exception launching on machine $(machine) : $(e)\n")
end
end
end
for t in launch_tasks
wait(t)
end
notify(launch_ntfy)
end
show(io::IO, manager::SSHManager) = println(io, "SSHManager(machines=", manager.machines, ")")
function launch_on_machine(manager::SSHManager, machine, cnt, params, launched, launch_ntfy::Condition)
dir = params[:dir]
exename = params[:exename]
exeflags = params[:exeflags]
# machine could be of the format [user@]host[:port] bind_addr[:bind_port]
# machine format string is split on whitespace
machine_bind = split(machine)
if isempty(machine_bind)
throw(ArgumentError("invalid machine definition format string: \"$machine\$"))
end
if length(machine_bind) > 1
exeflags = `--bind-to $(machine_bind[2]) $exeflags`
end
exeflags = `$exeflags --worker $(cluster_cookie())`
machine_def = split(machine_bind[1], ':')
# if this machine def has a port number, add the port information to the ssh flags
if length(machine_def) > 2
throw(ArgumentError("invalid machine definition format string: invalid port format \"$machine_def\""))
end
host = machine_def[1]
portopt = ``
if length(machine_def) == 2
portstr = machine_def[2]
if !all(isdigit, portstr) || (p = parse(Int,portstr); p < 1 || p > 65535)
msg = "invalid machine definition format string: invalid port format \"$machine_def\""
throw(ArgumentError(msg))
end
portopt = ` -p $(machine_def[2]) `
end
sshflags = `$(params[:sshflags]) $portopt`
# Build up the ssh command
# the default worker timeout
tval = haskey(ENV, "JULIA_WORKER_TIMEOUT") ?
`export JULIA_WORKER_TIMEOUT=$(ENV["JULIA_WORKER_TIMEOUT"])\;` : ``
# Julia process with passed in command line flag arguments
cmd = `cd $dir '&&' $tval $exename $exeflags`
# shell login (-l) with string command (-c) to launch julia process
cmd = `sh -l -c $(shell_escape(cmd))`
# remote launch with ssh with given ssh flags / host / port information
# -T → disable pseudo-terminal allocation
# -a → disable forwarding of auth agent connection
# -x → disable X11 forwarding
# -o ClearAllForwardings → option if forwarding connections and
# forwarded connections are causing collisions
# -n → Redirects stdin from /dev/null (actually, prevents reading from stdin).
# Used when running ssh in the background.
cmd = `ssh -T -a -x -o ClearAllForwardings=yes -n $sshflags $host $(shell_escape(cmd))`
# launch the remote Julia process
# detach launches the command in a new process group, allowing it to outlive
# the initial julia process (Ctrl-C and teardown methods are handled through messages)
# for the launched processes.
io, pobj = open(pipeline(detach(cmd), stderr=STDERR), "r")
wconfig = WorkerConfig()
wconfig.io = io
wconfig.host = host
wconfig.tunnel = params[:tunnel]
wconfig.sshflags = sshflags
wconfig.exeflags = exeflags
wconfig.exename = exename
wconfig.count = cnt
wconfig.max_parallel = params[:max_parallel]
wconfig.enable_threaded_blas = params[:enable_threaded_blas]
push!(launched, wconfig)
notify(launch_ntfy)
end
function manage(manager::SSHManager, id::Integer, config::WorkerConfig, op::Symbol)
if op == :interrupt
ospid = get(config.ospid, 0)
if ospid > 0
host = get(config.host)
sshflags = get(config.sshflags)
if !success(`ssh -T -a -x -o ClearAllForwardings=yes -n $sshflags $host "kill -2 $ospid"`)
warn(STDERR,"error sending a Ctrl-C to julia worker $id on $host")
end
else
# This state can happen immediately after an addprocs
warn(STDERR,"worker $id cannot be presently interrupted.")
end
end
end
let tunnel_port = 9201
global next_tunnel_port
function next_tunnel_port()
retval = tunnel_port
if tunnel_port > 32000
tunnel_port = 9201
else
tunnel_port += 1
end
retval
end
end
"""
ssh_tunnel(user, host, bind_addr, port, sshflags) -> localport
Establish an SSH tunnel to a remote worker.
Returns a port number `localport` such that `localhost:localport` connects to `host:port`.
"""
function ssh_tunnel(user, host, bind_addr, port, sshflags)
port = Int(port)
cnt = ntries = 100
# if we cannot do port forwarding, bail immediately
# the connection is forwarded to `port` on the remote server over the local port `localport`
# the -f option backgrounds the ssh session
# `sleep 60` command specifies that an alloted time of 60 seconds is allowed to start the
# remote julia process and establish the network connections specified by the process topology.
# If no connections are made within 60 seconds, ssh will exit and an error will be printed on the
# process that launched the remote process.
ssh = `ssh -T -a -x -o ExitOnForwardFailure=yes`
while cnt > 0
localport = next_tunnel_port()
if success(detach(`$ssh -f $sshflags $user@$host -L $localport:$bind_addr:$port sleep 60`))
return localport
end
cnt -= 1
end
throw(ErrorException(
string("unable to create SSH tunnel after ", ntries, " tries. No free port?")))
end
# LocalManager
struct LocalManager <: ClusterManager
np::Integer
restrict::Bool # Restrict binding to 127.0.0.1 only
end
"""
addprocs(; kwargs...) -> List of process identifiers
Equivalent to `addprocs(Sys.CPU_CORES; kwargs...)`
Note that workers do not run a `.juliarc.jl` startup script, nor do they synchronize their
global state (such as global variables, new method definitions, and loaded modules) with any
of the other running processes.
"""
addprocs(; kwargs...) = addprocs(Sys.CPU_CORES; kwargs...)
"""
addprocs(np::Integer; restrict=true, kwargs...) -> List of process identifiers
Launches workers using the in-built `LocalManager` which only launches workers on the
local host. This can be used to take advantage of multiple cores. `addprocs(4)` will add 4
processes on the local machine. If `restrict` is `true`, binding is restricted to
`127.0.0.1`. Keyword args `dir`, `exename`, `exeflags`, `topology`, and
`enable_threaded_blas` have the same effect as documented for `addprocs(machines)`.
"""
function addprocs(np::Integer; restrict=true, kwargs...)
check_addprocs_args(kwargs)
addprocs(LocalManager(np, restrict); kwargs...)
end
show(io::IO, manager::LocalManager) = println(io, "LocalManager()")
function launch(manager::LocalManager, params::Dict, launched::Array, c::Condition)
dir = params[:dir]
exename = params[:exename]
exeflags = params[:exeflags]
bind_to = manager.restrict ? `127.0.0.1` : `$(LPROC.bind_addr)`
for i in 1:manager.np
io, pobj = open(pipeline(detach(
setenv(`$(julia_cmd(exename)) $exeflags --bind-to $bind_to --worker $(cluster_cookie())`, dir=dir)),
stderr=STDERR), "r")
wconfig = WorkerConfig()
wconfig.process = pobj
wconfig.io = io
wconfig.enable_threaded_blas = params[:enable_threaded_blas]
push!(launched, wconfig)
end
notify(c)
end
function manage(manager::LocalManager, id::Integer, config::WorkerConfig, op::Symbol)
if op == :interrupt
kill(get(config.process), 2)
end
end
"""
launch(manager::ClusterManager, params::Dict, launched::Array, launch_ntfy::Condition)
Implemented by cluster managers. For every Julia worker launched by this function, it should
append a `WorkerConfig` entry to `launched` and notify `launch_ntfy`. The function MUST exit
once all workers, requested by `manager` have been launched. `params` is a dictionary of all
keyword arguments [`addprocs`](@ref) was called with.
"""
launch
"""
manage(manager::ClusterManager, id::Integer, config::WorkerConfig. op::Symbol)
Implemented by cluster managers. It is called on the master process, during a worker's
lifetime, with appropriate `op` values:
- with `:register`/`:deregister` when a worker is added / removed from the Julia worker pool.
- with `:interrupt` when `interrupt(workers)` is called. The `ClusterManager`
should signal the appropriate worker with an interrupt signal.
- with `:finalize` for cleanup purposes.
"""
manage
# DefaultClusterManager for the default TCP transport - used by both SSHManager and LocalManager
struct DefaultClusterManager <: ClusterManager
end
const tunnel_hosts_map = Dict{AbstractString, Semaphore}()
"""
connect(manager::ClusterManager, pid::Int, config::WorkerConfig) -> (instrm::IO, outstrm::IO)
Implemented by cluster managers using custom transports. It should establish a logical
connection to worker with id `pid`, specified by `config` and return a pair of `IO`
objects. Messages from `pid` to current process will be read off `instrm`, while messages to
be sent to `pid` will be written to `outstrm`. The custom transport implementation must
ensure that messages are delivered and received completely and in order.
`connect(manager::ClusterManager.....)` sets up TCP/IP socket connections in-between
workers.
"""
function connect(manager::ClusterManager, pid::Int, config::WorkerConfig)
if !isnull(config.connect_at)
# this is a worker-to-worker setup call.
return connect_w2w(pid, config)
end
# master connecting to workers
if !isnull(config.io)
(bind_addr, port) = read_worker_host_port(get(config.io))
pubhost=get(config.host, bind_addr)
config.host = pubhost
config.port = port
else
pubhost=get(config.host)
port=get(config.port)
bind_addr=get(config.bind_addr, pubhost)
end
tunnel = get(config.tunnel, false)
s = split(pubhost,'@')
user = ""
if length(s) > 1
user = s[1]
pubhost = s[2]
else
if haskey(ENV, "USER")
user = ENV["USER"]
elseif tunnel
error("USER must be specified either in the environment ",
"or as part of the hostname when tunnel option is used")
end
end
if tunnel
if !haskey(tunnel_hosts_map, pubhost)
tunnel_hosts_map[pubhost] = Semaphore(get(config.max_parallel, typemax(Int)))
end
sem = tunnel_hosts_map[pubhost]
sshflags = get(config.sshflags)
acquire(sem)
try
(s, bind_addr) = connect_to_worker(pubhost, bind_addr, port, user, sshflags)
finally
release(sem)
end
else
(s, bind_addr) = connect_to_worker(bind_addr, port)
end
config.bind_addr = bind_addr
# write out a subset of the connect_at required for further worker-worker connection setups
config.connect_at = (bind_addr, port)
if !isnull(config.io)
let pid = pid
redirect_worker_output(pid, get(config.io))
end
end
(s, s)
end
function connect_w2w(pid::Int, config::WorkerConfig)
(rhost, rport) = get(config.connect_at)
config.host = rhost
config.port = rport
(s, bind_addr) = connect_to_worker(rhost, rport)
(s,s)
end
const client_port = Ref{Cushort}(0)
function socket_reuse_port()
@static if is_linux() || is_apple()
s = TCPSocket(delay = false)
# Linux requires the port to be bound before setting REUSEPORT, OSX after.
is_linux() && bind_client_port(s)
rc = ccall(:jl_tcp_reuseport, Int32, (Ptr{Void},), s.handle)
if rc > 0 # SO_REUSEPORT is unsupported, just return the ephemerally bound socket
return s
elseif rc < 0
# This is an issue only on systems with lots of client connections, hence delay the warning
nworkers() > 128 && warn_once("Error trying to reuse client port number, falling back to regular socket.")
# provide a clean new socket
return TCPSocket()
end
is_apple() && bind_client_port(s)
return s
else
return TCPSocket()
end
end
function bind_client_port(s)
err = ccall(:jl_tcp_bind, Int32, (Ptr{Void}, UInt16, UInt32, Cuint),
s.handle, hton(client_port[]), hton(UInt32(0)), 0)
uv_error("bind() failed", err)
_addr, port = Base._sockname(s, true)
client_port[] = port
return s
end
function connect_to_worker(host::AbstractString, port::Integer)
# Revert support for now. Client socket port number reuse
# does not play well in a scenario where worker processes are repeatedly
# created and torn down, i.e., when the new workers end up reusing a
# a previous listen port.
s = TCPSocket()
connect(s, host, UInt16(port))
# Avoid calling getaddrinfo if possible - involves a DNS lookup
# host may be a stringified ipv4 / ipv6 address or a dns name
bind_addr = nothing
try
bind_addr = string(parse(IPAddr,host))
catch
bind_addr = string(getaddrinfo(host))
end
(s, bind_addr)
end
function connect_to_worker(host::AbstractString, bind_addr::AbstractString, port::Integer, tunnel_user::AbstractString, sshflags)
s = connect("localhost", ssh_tunnel(tunnel_user, host, bind_addr, UInt16(port), sshflags))
(s, bind_addr)
end
"""
kill(manager::ClusterManager, pid::Int, config::WorkerConfig)
Implemented by cluster managers.
It is called on the master process, by [`rmprocs`](@ref).
It should cause the remote worker specified by `pid` to exit.
`kill(manager::ClusterManager.....)` executes a remote `exit()`
on `pid`.
"""
function kill(manager::ClusterManager, pid::Int, config::WorkerConfig)
remote_do(exit, pid) # For TCP based transports this will result in a close of the socket
# at our end, which will result in a cleanup of the worker.
nothing
end