Hi Gabor, Thank you very much for your guidance and help.
I could run the following code successfully on a 500 mb test data file. A snapshot of the data file is attached herewith. ********code start*************** library(sqldf) library(RSQLite) iFile<-"Test100.txt" con <- dbConnect(SQLite(),dbname = "myTest100") dbWriteTable(con, "TestDB100", iFile, sep = "\t") #, eol = "\r\n") nms <- names(dbGetQuery(con, "select * from TestDB100 limit 0")) nRec<-fn$dbGetQuery(con, "select count(*)from TestDB100") aL1<-1; while (aL1<=nRec){ res1<-fn$dbGetQuery(con, "select * from (select * from TestDB100 limit '$aL1',1)") istn<-res1[1,1] res1<-fn$dbGetQuery(con, "select * from TestDB100 where `nms[1]` = '$istn'") icount<-dim(res1)[1] oFile<-paste(istn,"_Test.txt",sep="") write.table(res1, oFile, sep = "\t", quote = FALSE, col.names= FALSE, row.names = FALSE) aL1<-aL1+icount } dbDisconnect(con) ********code end*************** However, the actual data file that I want to handle is about *160 GB*. And when I use the same above code on that file, it gives following error for dbWriteTable(con, ...) statement ********error start************** dbWriteTable(con, "TestDB", iFile, sep = "\t") #, eol = "\r\n") Error in try({ : RS-DBI driver: (RS_sqlite_getline could not realloc) [1] FALSE ********error end************** I am not sure about the reason of this error. Is this due to the big file size? I understood from sqldf webpage that SQLite can work for even a larger file than this and is only restricted by the disc space and not RAM. I have about 400GB free space on the PC I am using, with Windows 7 as the operating system. I am assuming that the about dbWriteTable command is using the disc memory only and is not the issue. In fact this file has been created using MySQLdump and I do not have access to the original MYSQL database file. I want to know the following: (1) Am I missing something in the above code that is preventing handling of this big 160 GB file? (2) Should this be handled outside of R, if R is becoming a limitation in this? And if yes then what is a possible way forward? Thank you again for your quick response and all the help. HC http://r.789695.n4.nabble.com/file/n4353362/Test100.txt Test100.txt -- View this message in context: http://r.789695.n4.nabble.com/sqldf-for-Very-Large-Tab-Delimited-Files-tp4350555p4353362.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.