How to maintain memory in R extension
Hi, I think you need external pointers: http://cran.r-project.org/doc/manuals/r-release/R-exts.html#External-pointers-and-weak-references The docs also has an example. See more examples from other R packages here: https://github.com/search?q=R_MakeExternalPtr+user%3Acran&type=Code&utf8=%E2%9C%93 Gabor
On Wed, Nov 12, 2014 at 8:36 AM, Zheng Da <zhengda1936 at gmail.com> wrote:
Hello, I wrote a system to perform data analysis in C++. Now I am integrating it to R. I need to allocate memory for my own C++ data structures, which can't be represented by any R data structures. I create a global hashtable to keep a reference to the C++ data structures. Whenever I allocate one, I register it in the hashtable and return its key to the R code. So later on, the R code can access the C++ data structures with their keys. The problem is how to perform garbage collection on the C++ data structures. Once an R object that contains the key is garbage collected, the R code can no longer access the corresponding C++ data structure, so I need to deallocate it. Is there any way that the C++ code can get notification when an R object gets garbage collected? If not, what is the usual way to manage memory in R extensions? Thanks, Da
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