I seem to recall discussions about 1 chunk-at-a-time reading of CSV
files. Such an API is not yet available in Python. This is also
required for the C++ Datasets API. If there are not one or more JIRA
issues about this I suggest that we open some to capture the use cases

On Fri, Feb 14, 2020 at 3:16 PM filippo medri <[email protected]> wrote:
>
> Hi,
> by experimenting with arrow read_csv function to convert csv fie into parquet 
> I found that it reads the data in memory.
> On a side the ReadOptions class allows to specify a blocksize parameter to 
> limit how much bytes to process at a time, but by looking at the memory usage 
> my understanding is that the underlying Table is filled with all data.
> Is there a way to at least specify a parameter to limit the read to a batch 
> of rows? I see that I can skip rows from the beginning, but I am not finding 
> a way to limit how many rows to read.
> Which is the intended way to read a csv file that does not fit into memory?
> Thanks in advance,
> Filippo Medri

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