Thanks for taking the time for reviewing . It work great for my use-case,
as i am doing a one shot loading and data manipulation on big data. And the
data is basically immutable for the rest of the lifetime of the process,
just read. but i know from testing and benchmarking that it is limited by
th
The new kernels are interesting. There has been some ask recently[1]
for weighted averages and I think you have some of the pieces (if not
all of it) here. We also recently plumbed in support for binary
aggregates into Acero[2] so having more binary aggregate kernels would
be nice.
Outside of th
Yes I will, I haven't taken enough time to clean up the README , it was
generated based on my source code with CHATGPT. I will do that later in the
week.
On Sun, Jan 22, 2023 at 2:36 AM Benson Muite
wrote:
> On 1/22/23 13:15, Adesola Adedewe wrote:
> > i'm working on a project where big financia
On 1/22/23 13:15, Adesola Adedewe wrote:
> i'm working on a project where big financial data needs to be loaded stored
> and manipulated. the data is stored as parquet. my initial version had
> arrow just load the parquet data and i used the basic unorderedmap but this
> limited me to only one data
i'm working on a project where big financial data needs to be loaded stored
and manipulated. the data is stored as parquet. my initial version had
arrow just load the parquet data and i used the basic unorderedmap but this
limited me to only one data type. i found i could make my database more
gene
On 1/22/23 11:41, Adesola Adedewe wrote:
> The project was initially meant to provide a simpler interface over arrow
> apache so pretty much what was done with the python api, but it has
> evolved to be more than that ,with indexing and other panda operations
> implemented like reindex, resample, c
The project was initially meant to provide a simpler interface over arrow
apache so pretty much what was done with the python api, but it has
evolved to be more than that ,with indexing and other panda operations
implemented like reindex, resample, concat etc. I currently have it good
enough for my
On 1/22/23 06:23, Adesola Adedewe wrote:
> okay thanks for your consideration.
>
> On Sat, Jan 21, 2023 at 4:49 PM Sutou Kouhei wrote:
>
>> Hi,
>>
>> I'm not sure pandas like API is suitable for our official
>> data frame API.
>>
>> FYI:
>>
>> * GitHub issue of this:
>> https://github.com/ap
okay thanks for your consideration.
On Sat, Jan 21, 2023 at 4:49 PM Sutou Kouhei wrote:
> Hi,
>
> I'm not sure pandas like API is suitable for our official
> data frame API.
>
> FYI:
>
> * GitHub issue of this:
> https://github.com/apache/arrow/issues/33747
> * [DISCUSS] Developing a "data fra
Hi,
I'm not sure pandas like API is suitable for our official
data frame API.
FYI:
* GitHub issue of this:
https://github.com/apache/arrow/issues/33747
* [DISCUSS] Developing a "data frame" subproject in the Arrow C++ libraries
https://lists.apache.org/thread/50vbmw49w83sj3km326srown64c7hlf1
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