My apologies, you wrote "access" and I read "Excel". I really should not
play a game on my smartphone while speed reading emails.
On Fri, Nov 20, 2015 at 11:38 AM, Vivek Sutradhara <viveksu...@gmail.com>
wrote:
> Hi
> I want to extract data from a Microsoft access database having many tables
> with more than 1e7 rows. I find that the following code works to export a
> table to a rds file :
> #####################
> setwd('C:/sFolder')
> library(RODBC);library(DBI)
> ch<-odbcConnect("sample")
>
> #No. of rows in the table not known
> rowN<-1e6 # no. of rows defined
> db<-sqlFetch(ch,"Table1",max=rowN,as.is=TRUE)
> file<-paste0('Table1',1,'.rds')
> df1<-saveRDS(db,file1)
>
> rm(db);gc() # garbage collection to free up the memory
>
> # To successively obtain more chunks from the access database
> for (i in 2:10) {
> rm(df);gc()
> df<-sqlFetchMore(ch,"Table1",max=rowN,as.is=TRUE)
> file<-paste0('Table1',i,'.rds')
> df1<-saveRDS(df,file)
> if (dim(df)[1]<rowN)
> break
> }
> rm(df);gc()
> odbcCloseAll()
> ##############################
>
> I would like to know the following :
> 1. Is there any way to extract data from a table by just specifying the row
> number range. I have extracted data before. Instead of repeating the
> operations, I would just like to obtain data from, let's say, 8e6 to 9e6
> row range. I cannot do this now. I have to successively use the
> sqlfetchMore command. I would like to know if it is possible to straight
> away go to the 8e6 to 9e6 row range.
> 2. Is it possible to use the foreach package in the extraction step (in
> place of the for loop above). I am planning to use the foreach command in
> parallel later for processing the data in the multiple files. I just wonder
> if it is possible to do parallel processing for the data extraction also.
> Thanks,
> Vivek Sutradhara
>
> [[alternative HTML version deleted]]
>
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[[alternative HTML version deleted]]
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