r - 调用序列化 R 函数时出错

标签 r parallel-processing snow

我正在将以下包加载到 R 中:

library(foreach)
library(doParallel)
library(iterators)

我“并行”代码很长一段时间,但最近我在代码运行时间歇性停止。错误是:

Error in serialize(data, node$con) : error writing to connection

我有根据的猜测是,我使用以下命令打开的连接可能已过期:

## Register Cluster
##
cores<-8
cl <- makeCluster(cores)
registerDoParallel(cl)

查看 makeCluster 手册页,我发现默认情况下连接仅在 30 天后过期!我可以设置 options(error=recover) 以便在代码停止时即时检查连接是否打开,但我决定之前发布这个一般问题。

重要:

1)错误确实是间歇性的,有时我重新运行相同的代码并没有得到任何错误。 2)我在同一台多核机器(Intel/8 核)上运行所有内容。所以这不是集群之间的通信(网络)问题。 3) 我是我的笔记本电脑和台式机(64 核)上 CPU 和 GPU 并行化的重度用户,不幸的是,这是我第一次遇到此类错误。

有人有同样类型的错误吗?

根据要求,我提供我的 sessionInfo():

> sessionInfo()
R version 2.15.3 (2013-03-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] TTR_0.22-0       xts_0.9-3        doParallel_1.0.1 iterators_1.0.6  foreach_1.4.0    zoo_1.7-9        Revobase_6.2.0   RevoMods_6.2.0  

loaded via a namespace (and not attached):
[1] codetools_0.2-8 compiler_2.15.3 grid_2.15.3     lattice_0.20-13 tools_2.15.3   

@SeteveWeston,其中一个调用中的错误如下(同样是间歇性的):

starting worker pid=8808 on localhost:10187 at 15:21:52.232
starting worker pid=5492 on localhost:10187 at 15:21:53.624
starting worker pid=8804 on localhost:10187 at 15:21:54.997
starting worker pid=8540 on localhost:10187 at 15:21:56.360
starting worker pid=6308 on localhost:10187 at 15:21:57.721
starting worker pid=8164 on localhost:10187 at 15:21:59.137
starting worker pid=8064 on localhost:10187 at 15:22:00.491
starting worker pid=8528 on localhost:10187 at 15:22:01.855
Error in unserialize(node$con) : 
  ReadItem: unknown type 0, perhaps written by later version of R
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted
Error in unserialize(node$con) : error reading from connection
Calls: <Anonymous> ... doTryCatch -> recvData -> recvData.SOCKnode -> unserialize
Execution halted

添加更多信息。我设置了选项(error=recover),它提供了以下信息:

Error in serialize(data, node$con) : error writing to connection

Enter a frame number, or 0 to exit   

1: #51: parallelize(FUN = "ensemble.prism", arg = list(prism = iis.long, instances = oos.instances), vectorize.arg = c("prism", "instances"), cores = cores, .export 
2: parallelize.R#58: foreach.bind(idx = i) %dopar% pFUN(idx)
3: e$fun(obj, substitute(ex), parent.frame(), e$data)
4: clusterCall(cl, workerInit, c.expr, exportenv, obj$packages)
5: sendCall(cl[[i]], fun, list(...))
6: postNode(con, "EXEC", list(fun = fun, args = args, return = return, tag = tag))
7: sendData(con, list(type = type, data = value, tag = tag))
8: sendData.SOCKnode(con, list(type = type, data = value, tag = tag))
9: serialize(data, node$con)

Selection: 9

我尝试检查连接是否仍然可用,并且有:

Browse[1]> showConnections()
   description                class      mode  text     isopen   can read can write
3  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
4  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
5  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
6  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
7  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
8  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
9  "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
10 "<-www.007guard.com:10187" "sockconn" "a+b" "binary" "opened" "yes"    "yes"    
Browse[1]> 

由于连接已打开并且错误 0 表示 R 版本(正如 @SteveWeston 所指出的),我真的无法弄清楚这里发生了什么。

编辑1:

我解决问题的方法

就传递给函数的参数而言,代码很好。因此,@MichaelFilosi 提供的答案并没有带来太多好处。无论如何,非常感谢您的回答!

我无法准确地找到该调用出了什么问题,但至少我可以解决该问题。

诀窍是将每个并行线程的函数调用参数分成更小的 block 。

错误神奇地消失了。

请告诉我这是否对您有用!

最佳答案

这很可能是由于内存不足造成的(有关详细信息,请参阅我的 blog post)。以下是导致此错误的示例:

> a <- matrix(1, ncol=10^4*2.1, nrow=10^4)
> cl <- makeCluster(8, type = "FORK")
> parSapply(cl, 1:8, function(x) {
+   b <- a + 1
+   mean(b)
+   })
Error in unserialize(node$con) : error reading from connection

关于r - 调用序列化 R 函数时出错,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/17015598/

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