Hi Jayjeet,
I noticed that you're not compiling dataset_bench with optimizations
enabled. I'm not sure how much it will help, but it may be worth adding
`-O2` to your g++ invocation.

Sasha Krassovsky

On Tue, Mar 1, 2022 at 11:11 AM Jayjeet Chakraborty <
[email protected]> wrote:

> Hi Niranda, David,
>
> I ran my benchmarks again with the PyArrow .SO libraries which should be
> optimized. PyArrow version was 6.0.1 installed from pip. Here are my new
> results [1]. Numbers didn't quite seem to improve. You can check my build
> config in the Makefile [2]. I created a README [3] to make it easy for you
> to reproduce on your end. Thanks.
>
> [1]
> https://github.com/JayjeetAtGithub/arrow-flight-benchmark/tree/main/dataset_bench/optimized
> [2]
> https://github.com/JayjeetAtGithub/arrow-flight-benchmark/blob/main/dataset_bench/Makefile
> [3]
> https://github.com/JayjeetAtGithub/arrow-flight-benchmark/blob/main/dataset_bench/README.md
>
> On Tue, Mar 1, 2022 at 10:04 AM Niranda Perera <[email protected]>
> wrote:
>
>> Hi Jayeet,
>>
>> Could you try building your cpp project against the arrow.so in pyarrow
>> installation? It should be in the lib directory in your python environment.
>>
>> Best
>>
>> On Tue, Mar 1, 2022 at 12:46 PM Jayjeet Chakraborty <
>> [email protected]> wrote:
>>
>>> Thanks for your reply, David.
>>>
>>> 1) I used PyArrow 6.0.1 for both C++ and Python.
>>> 2) The dataset was deployed using this [1] script.
>>> 3) For C++, Arrow was built from source in release mode. You can see the
>>> CMake config here [2].
>>>
>>> I think I need to test once with Arrow C++ installed from packages
>>> instead of me building it. That might be the issue.
>>>
>>> [1]
>>> https://github.com/JayjeetAtGithub/arrow-flight-benchmark/blob/main/common/deploy_data.sh
>>> [2]
>>> https://github.com/JayjeetAtGithub/arrow-flight-benchmark/tree/main/cpp
>>>
>>> Best,
>>> Jayjeet
>>>
>>>
>>>
>>>
>>> On Tue, Mar 1, 2022 at 5:04 AM David Li <[email protected]> wrote:
>>>
>>>> Hi Jayjeet,
>>>>
>>>> That's odd since the Python API is just wrapping the C++ API, so they
>>>> should be identical if everything is configured the same. (So is the Java
>>>> API, incidentally.) That's effectively what the SO question is saying.
>>>>
>>>> What versions of PyArrow and Arrow are you using? Just to check the
>>>> obvious things, was Arrow compiled with optimizations? And if we want to
>>>> replicate this, is it possible to get the dataset?
>>>>
>>>> -David
>>>>
>>>> On Tue, Mar 1, 2022, at 01:52, Jayjeet Chakraborty wrote:
>>>>
>>>> Hi Arrow community,
>>>>
>>>> I was working on a class project for benchmarking Apache Arrow Dataset
>>>> API in different programming languages. I found out that for some reason
>>>> the C++ API example is slower than the Python API example. I ran my
>>>> benchmarks on a 5 GB dataset consisting of 300 16MB parquet files. I tried
>>>> my best to cross verify if all the parameters are similar in the Python and
>>>> C++ examples. It would be great to know if someone had similar observations
>>>> in the past and if the reason for this is known. I would really like to
>>>> know more about this phenomenon. You can find the code and the results here
>>>> [1]. I found a similar issue here [2] but I couldn't understand the exact
>>>> reason. Thanks a lot for your help.
>>>>
>>>>
>>>> [1]
>>>> https://github.com/JayjeetAtGithub/arrow-flight-benchmark/tree/main/dataset_bench
>>>>
>>>> [2]
>>>> https://stackoverflow.com/questions/67856457/reading-parquet-file-is-slower-in-c-than-in-python
>>>>
>>>> Best Regards,
>>>> *Jayjeet Chakraborty*
>>>> Ph.D. Student
>>>> Department of Computer Science and Engineering
>>>> University of California, Santa Cruz
>>>>
>>>> --
>>>> *Jayjeet Chakraborty*
>>>> B.Tech in Computer Sc. and Engineering
>>>> National Institute Of Technology, Durgapur
>>>> West Bengal, India
>>>> M: (+91) 8436500886
>>>>
>>>>
>>>>
>>>
>>> --
>>> *Jayjeet Chakraborty*
>>> B.Tech in Computer Sc. and Engineering
>>> National Institute Of Technology, Durgapur
>>> West Bengal, India
>>> M: (+91) 8436500886
>>>
>>
>>
>> --
>> Niranda Perera
>> https://niranda.dev/
>> @n1r44 <https://twitter.com/N1R44>
>>
>>
>
> --
> *Jayjeet Chakraborty*
> B.Tech in Computer Sc. and Engineering
> National Institute Of Technology, Durgapur
> West Bengal, India
> M: (+91) 8436500886
>

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