similar to: C versions of serialize/unserialize in packages

Hi, While debugging a network server I'm developing I noticed something unusual - call to unserialize() resulted in an error about loading a namespace. I was a bit taken back by this - why should unserializing an object cause a namespace lookup? Are there any other side-effects of unserialize() that I should be cautious about? I've been digging through the R_Unserialize() call, I

Hi, sorry if this question is trivial or unclear, this is my first venture into mixed C/R programming (I am reasonably experienced in each separately). I am trying to write a serialization function for a format called typedbytes, which is used as an interchange format in Hadoop circles. Since I would need to serialize according to the internal R format many small R objects I looked at the c

Hi, I am developing a tool for converting a large data frame stored in an uncompressed binary (XDR) RData file to a delimited text file. The data frame is too large to load() and extract rows from on a typical PC. I'm looking to parse through the file and extract individual entries without loading the whole thing into memory. In terms of some C source functions, instead of doing

Hi folks, I've attached a patch to the svn trunk that improves the performance of the serialize/unserialize interface for vector types. The current implementation: a) invokes the R_XDREncode operation for each element of the vector type, and b) uses a switch statement to determine the stream type for each element of the vector type. I've added R_XDREncodeVector/R_XDRDecodeVector functions

Hello, I have some code which generates lattice objects. The function recieves serialized forms of the lattice objects which it then unserializes and then adds to an ArrayList<REXP>. REXPRaw rser = new REXPRaw( target ); //target contains the raw serialized forms of lattice objects rconn.assign("temp",rser); REXP ret =

I stumbled upon the following: f <- parallel::mcparallel(raw(0L)) parallel::mccollect(f) # $`77083` # NULL but f <- parallel::mcparallel(raw(1L)) parallel::mccollect(f) # Error in unserialize(r) : read error traceback() # 2: unserialize(r) # 1: parallel::mccollect(f) (restarting because the above appears to corrupt the R session) f <- parallel::mcparallel(raw(2L))

Hi all, I am not able to export an ALTREP object when `gctorture` is on in the worker. The package simplemmap can be used to reproduce the problem. See the example below ``` ## Create a temporary file filePath <- tempfile() con <- file(filePath, "wrb") writeBin(rep(0.0,10),con) close(con) library(simplemmap) library(parallel) cl <- makeCluster(1) x <- mmap(filePath,

I don''t even know if this is possible. I want to use an object as an attribute for one of my classes. I can save it to the db fine, looks like...but I need to be able to use it after I pull the object from the db. Right now the attribute is just a String, but I need it to be a Runt::Intersect object. Does anyone know how I can unserialize the attribute so I can use it as an object?

This Index: src/main/altrep.c =================================================================== --- src/main/altrep.c (revision 79385) +++ src/main/altrep.c (working copy) @@ -275,10 +275,11 @@ SEXP psym = ALTREP_SERIALIZED_CLASS_PKGSYM(info); SEXP class = LookupClass(csym, psym); if (class == NULL) { - SEXP pname = ScalarString(PRINTNAME(psym)); + SEXP pname =

Hi all, several packages print messages during loading. How do I avoid to see them when the packages are in the defaultPackages? Here is an example. With this in ~/.Rprofile ,----[ ~/.Rprofile ] | old <- getOption("defaultPackages") | options(defaultPackages = c(old, "filehash")) | rm(old) `---- I get as last line when starting R: ,---- | filehash: Simple key-value

Thanks for the report. Will look into it when I get a chance unless someone else gets there first. A simpler reprex: ## create and serialize a memmory-mapped file object filePath <- "x.dat" con <- file(filePath, "wrb") writeBin(rep(0.0,10),con) close(con) library(simplemmap) x <- mmap(filePath, "double") saveRDS(x, file = "x.Rds") ## in a

I found that also; fixed in r79386 in the trunk. Will port to R-patched shortly. Best, luke On Thu, 29 Oct 2020, Martin Morgan wrote: > This > > Index: src/main/altrep.c > =================================================================== > --- src/main/altrep.c (revision 79385) > +++ src/main/altrep.c (working copy) > @@ -275,10 +275,11 @@ > SEXP psym =

I ran into an interesting error unserializing a file created with ascii=TRUE: R 3.5.1 (Windows or Linux): > unserialize(serialize(list(raw=as.raw(c(39,41))), NULL, version=2, ascii=TRUE)) Error in unserialize(serialize(list(raw = as.raw(c(39, 41))), NULL, version = 2, : ReadItem: unknown type 29, perhaps written by later version of R The same error happens when the

Dear R helpers: I am a newbie to R and have a question related to cleaning large data frames in R. So far, I have been using SAS for data cleaning because my data sets are relatively large (handling multiple files, each could be as large as 5-10 G). I am not a fan of SAS at all and am eager to move data cleaning tasks into R completely. Seems to me, there are 3 options. Using SQL, ff or

Dear R'ers, I have trouble installing tikzDevice in Ubuntu.  When I use install.packages("tikzDevice"), it gives error message: ERROR: dependency ‘filehash’ is not available for package ‘tikzDevice’ * removing ‘/usr/local/lib/R/site-library/tikzDevice’ Then I tried filehash installation, I get the message: "package ‘filehash’ is not available (for R version 2.13.1)"

Hi all, I am trying to use the filehash library to analyze a 5M by 20 matrix with both double and string data types. After consulting a few tutorials online, it seems as though one needs to first read the data into R; then create an R object; and then assign that object a location in my computer via filehash. It seems like the benefit of this is minimizing memory allocation when running

Hello, I'm using filehash on the windows XP and it has been working fine with the newest R version 2.6.2. However, on the windows vista, when I ran the same code, I got the following error: > dbCreate("simdb") #create simdb database [1] TRUE > db<-dbInit("simdb") #initiate an object of database Error in sprintf(gettext(fmt, domain = domain), ...) : object

Hello, I have just installed v 2.6.2 on a new computer running Windows XP and tried to perform 'update packages' via the menu option on the R console. Any advice on the following problem is much appreciated. Bob Below are the warning and error messages received. A search of the hard drive does not reveal any file including "RtmpgMMu03/libloc" . >

Hi everybody! I'm trying to install the tikzDevice package, and I keep on getting the > ERROR: dependency ‘filehash’ is not available for package ‘tikzDevice’ I tried install.packages('filehash') and I get > package ‘filehash’ is not available Does anybody have the same problem or any hint? thank youhelena [[alternative HTML version deleted]]

Dear R-Users, I need a very fast and reliable database solution so I try to serialize a data.frame (to binary data) and to store this data to an SQLite database. This is what I tried to do: library(RSQLite) con <- dbDriver("SQLite") db <- dbConnect(con, "test") dbSendQuery(db, 'CREATE TABLE frames("simID" INT, "data" BLOB)') data.bin <-