There is always an implied "and do computations on it before writing the 
processed data out" when reading chunks of a file.

And you would almost certainly not be getting that error if you were not out of 
memory.  A good rule of thumb is that you need 4 times as much free memory to 
process data than you need to read it in.

On November 8, 2024 6:08:16 PM PST, Val <valkr...@gmail.com> wrote:
>Hi Jeff,
>
>Memory was not an issue. The system only used 75% of the memory
>allocated for the job.
>
> I am trying to understand what  "r read large file in chunks" is doing.
>
>On Fri, Nov 8, 2024 at 7:50 PM Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote:
>>
>> Then you don't have enough memory to process the whole thing at once. Not 
>> unlike stuffing your mouth with cookies and not being able to chew for lack 
>> of space to move the food around in your mouth.
>>
>> Now, can you answer my question?
>>
>> On November 8, 2024 5:38:37 PM PST, Val <valkr...@gmail.com> wrote:
>> >The data was read. The problem is with processing.
>> >
>> >On Fri, Nov 8, 2024 at 7:30 PM Bert Gunter <bgunter.4...@gmail.com> wrote:
>> >>
>> >> Is the problem reading the file in or processing it after it has been 
>> >> read in?
>> >>
>> >> Bert
>> >>
>> >> On Fri, Nov 8, 2024 at 5:13 PM Jeff Newmiller via R-help 
>> >> <r-help@r-project.org> wrote:
>> >>>
>> >>> Can you tell us what is wrong with the "chunked" package which comes up 
>> >>> when you Google "r read large file in chunks"?
>> >>>
>> >>> On November 8, 2024 4:58:18 PM PST, Val <valkr...@gmail.com> wrote:
>> >>> >Hi All,
>> >>> >
>> >>> >I am reading data file ( > 1B rows) and do some date formatting like
>> >>> >      dat=fread(mydatafile)
>> >>> >     dat$date1 <- as.Date(ymd(dat$date1))
>> >>> >
>> >>> >However, I am getting an error message saying that
>> >>> >    Error: cons memory exhausted (limit reached?)
>> >>> >
>> >>> >The  script was working  when the number rows were  around 650M.
>> >>> >
>> >>> >Is there another way to  handle  a big data set in R?
>> >>> >
>> >>> >
>> >>> >Thank you.
>> >>> >
>> >>> >______________________________________________
>> >>> >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> >>> >https://stat.ethz.ch/mailman/listinfo/r-help
>> >>> >PLEASE do read the posting guide 
>> >>> >https://www.R-project.org/posting-guide.html
>> >>> >and provide commented, minimal, self-contained, reproducible code.
>> >>>
>> >>> --
>> >>> Sent from my phone. Please excuse my brevity.
>> >>>
>> >>> ______________________________________________
>> >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> >>> https://stat.ethz.ch/mailman/listinfo/r-help
>> >>> PLEASE do read the posting guide 
>> >>> https://www.R-project.org/posting-guide.html
>> >>> and provide commented, minimal, self-contained, reproducible code.
>>
>> --
>> Sent from my phone. Please excuse my brevity.

-- 
Sent from my phone. Please excuse my brevity.

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