错误:向量内存已耗尽(是否达到极限?)R 3.5.0 macOS [英] Error: vector memory exhausted (limit reached?) R 3.5.0 macOS

问题描述

我使用包含基因表达数据的大文件已经有一段时间了，最​​近在升级到R 3.5.0之后，将数据加载到R中遇到了一个问题.使用大约8GB的内存(我的Mac具有16GB的RAM)后，如果尝试读取另一个文件，则会出现以下错误:

I've been working for a while with a number of large files containing gene expression data, and I've recently run into an issue with loading that data into R, after upgrading to R 3.5.0. After using about 8GB of memory (my mac has 16GB of RAM), if I try to read in another file, I get the following error:

Error: vector memory exhausted (limit reached?)

我找到了以前的帖子(错误:矢量内存已耗尽(达到限制了吗?))建议我尝试将环境变量R_MAX_VSIZE设置为更高的值，因此我尝试了以下操作:

I found a previous post (Error: vector memory exhausted (limit reached?)) suggesting I try to set the environmental variable R_MAX_VSIZE to a higher value, so I tried the following:

Sys.setenv(R_MAX_VSIZE = 16e9)

但是，我仍然遇到相同的错误.我是否正确设置了环境变量?有什么我想念的吗?

However, I still got the same error. Am I not setting the environmental Variable correctly? is there something that I'm missing?

会话信息:

R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.5

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib

locale:[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

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

other attached packages: [1] data.table_1.11.4

loaded via a namespace (and not attached):
[1] compiler_3.5.0 tools_3.5.0   

推荐答案

对于使用Rstudio的用户，我发现设置Sys.setenv('R_MAX_VSIZE'=32000000000)仅在命令行上有效，并且在使用Rstudio时设置该参数不会阻止此操作.错误:

For those using Rstudio, I've found that setting Sys.setenv('R_MAX_VSIZE'=32000000000) only works on the command line, and that setting that parameter while using Rstudio does not prevent this error:

Error: vector memory exhausted (limit reached?)

经过更多阅读后，我发现

After doing some more reading, I found this thread, which clarifies the problem with Rstudio, and identifies a solution, shown below:

第1步:打开终端，

第2步:

cd ~
touch .Renviron
open .Renviron

第3步:将以下内容保存为.Renviron的第一行:

Step 3: Save the following as the first line of .Renviron:

R_MAX_VSIZE=100Gb 

注意:此限制包括物理内存和虚拟内存.因此，在具有16Gb物理内存的计算机上设置_MAX_VSIZE = 16Gb可能不会防止此错误.您可能必须使用此参数，具体取决于计算机的规格

Note: This limit includes both physical and virtual memory; so setting _MAX_VSIZE=16Gb on a machine with 16Gb of physical memory may not prevent this error. You may have to play with this parameter, depending on the specs of your machine

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