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From Zhiyuan Dong <zhiyuan.d...@gmail.com>
Subject Re: access entire column in ORC files
Date Sun, 20 Jan 2019 17:36:13 GMT
Hi Owen,

Let me follow the github example link you provided.

Appreciate the prompt response. Many thanks!

Best,

Zhiyuan

On Sun, Jan 20, 2019 at 11:09 AM Owen O'Malley <owen.omalley@gmail.com>
wrote:

> Yes, ORC files are set up so that reading individual columns is much
> faster (and reads less data) than reading the entire row.
>
> You need to call RowReaderOptions::include or includeType depending on
> whether you want to select by name or id.
>
> Look at the tool code for file contents about how to do this.
>
>
> https://github.com/apache/orc/blob/4e7d9c2e126cebd075f51b9d6ab2c30f4c8943c0/tools/src/FileContents.cc#L77
>
> .. Owen
>
> On Sun, Jan 20, 2019 at 7:16 AM Zhiyuan Dong <zhiyuan.dong@gmail.com>
> wrote:
>
>> Hi
>>
>> I am working in marketing research field, and find that at times I need
>> to extract contents of ORC files into analytical packages like R, Julia,
>> etc, without using tools like JDBC, etc ( which offers ability to access
>> ORC files )
>>
>> I have been using C++ to access ORC file contents, following examples
>> provided in the ORC file C++ distribution example, e.g. meta info,
>> contents, etc. My datasets are basic 2d tables, with rows and columns, each
>> column has very basic data types : int64, or double. I have found the ORC
>> file C++ access APIs very helpful and handy!
>>
>> Since R or Julia has column major storage format in their matrix, and I
>> would like to extract the contents of ORC files column by column. In the
>> example that gets the file contents made available on the ORC file C++
>> official website, the C++ code reads the entire ORC file contents by
>> batches, and within each batch, it reads the contents row by row, creating
>> a string version of the data, JSON like.
>>
>> My question is : ( since I don't know how ORC file structure details ),
>> Can the user read ORC file contents column by column using the C++ APIs you
>> guys published ? is there speed advantage of doing this ( as opposed to
>> read in batches, and within each batch parse contents row by row ).
>>
>> if possible : Is there an example that I can follow to read contents
>> column by column?
>>
>> Is it possible that the example C++ codes can give a (char*) type pointer
>> to the user , each time it reads a row element within a column, so that
>> users can read that into desired data type, e.g. int64, double, etc,
>> directly without building the JSON like text output rows ? Or there are
>> even more there already to read a ORC file column directly into a in-memory
>> T* that stores the data with corresponding data type, e.g. int64, double,
>> etc. ?
>>
>> Many many thanks!
>>
>> Best,
>>
>> Zhiyuan
>>
>

-- 
Zhiyuan Dong, Ph.D.

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