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June 4, 2018 18:34
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#!/usr/bin/env Rscript | |
# 2018-06-04 11:26:12 | |
# Automatically generated from R by autoparallel version 0.0.1 | |
library(parallel) | |
nworkers = 2 | |
timeout = 600 | |
cls = makeCluster(nworkers, "PSOCK") | |
# Each worker updates a copy of this object. On worker j workers[[i]] will | |
# contain an open socket connection between workers j and i. | |
workers = vector(nworkers, mode = "list") | |
close.NULL = function(...) NULL | |
#' Connect workers as peers | |
connect = function(server, client, port, sleep = 0.1, ...) | |
{ | |
if(ID == server){ | |
con = socketConnection(port = port, server = TRUE | |
, blocking = TRUE, open = "a+b", ...) | |
workers[[client]] <<- con | |
} | |
if(ID == client){ | |
Sys.sleep(sleep) | |
con = socketConnection(port = port, server = FALSE | |
, blocking = TRUE, open = "a+b", ...) | |
workers[[server]] <<- con | |
} | |
NULL | |
} | |
clusterExport(cls, c("workers", "connect", "close.NULL")) | |
# Each worker has an ID | |
clusterMap(cls, assign, "ID", seq(nworkers) | |
, MoreArgs = list(envir = .GlobalEnv)) | |
# Define the peer to peer connections | |
socket_map = read.csv(text = ' | |
"server","client","port" | |
1,2,33000 | |
') | |
# Open the connections | |
by(socket_map, seq(nrow(socket_map)), function(x){ | |
clusterCall(cls, connect, x$server, x$client, x$port, timeout = timeout) | |
}) | |
worker_code = c( | |
'if(ID != 1) | |
stop(sprintf("Worker is attempting to execute wrong code. | |
This code is for 1, but manager assigned ID %s", ID)) | |
a1 = 1 | |
a2 = 2 | |
b2 <- unserialize(workers[[2]]) | |
a3 = a1 + a2 + b2 | |
serialize(a2, workers[[2]], xdr = FALSE) | |
b3 <- unserialize(workers[[2]]) | |
a4 = a2 + a3 + b3 | |
serialize(a3, workers[[2]], xdr = FALSE) | |
b4 <- unserialize(workers[[2]]) | |
a5 = a3 + a4 + b4 | |
serialize(a4, workers[[2]], xdr = FALSE)', | |
############################################################ | |
'if(ID != 2) | |
stop(sprintf("Worker is attempting to execute wrong code. | |
This code is for 2, but manager assigned ID %s", ID)) | |
b1 = 1 | |
b2 = 2 | |
serialize(b2, workers[[1]], xdr = FALSE) | |
a2 <- unserialize(workers[[1]]) | |
b3 = b1 + b2 + a2 | |
serialize(b3, workers[[1]], xdr = FALSE) | |
a3 <- unserialize(workers[[1]]) | |
b4 = b2 + b3 + a3 | |
serialize(b4, workers[[1]], xdr = FALSE) | |
a4 <- unserialize(workers[[1]]) | |
b5 = b3 + b4 + a4 | |
writeLines(as.character(b5), "script4.R.log")' | |
) | |
evalg = function(codestring) | |
{ | |
code = parse(text = codestring) | |
eval(code, .GlobalEnv) | |
NULL | |
} | |
# Action! | |
parLapply(cls, worker_code, evalg) | |
# Close peer to peer connections | |
clusterEvalQ(cls, lapply(workers, close)) | |
stopCluster(cls) |
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Is there a variant of
serialize()
that acts more like "peek" than "pop"?