Apologies for being very late to this discussion, but if anyone is still
interested in this work, I did quite long ago attempt something like this
at https://github.com/westonsteimel/pyarrow-parquet. Eventually I gave up
on that approach (due to the time taken for builds etc) and instead moved
to
We've discussed this in the past, I think. In addition to having many
optional components enabled, the pyarrow wheel also includes the unit
tests directory which is of growing size. I think if we made a
pyarrow-slim wheel with support only for core Arrow (IPC, etc.) and
Parquet file reading, it mig
Hi Rusty,
Le 02/10/2022 à 22:51, Rusty Conover a écrit :
Hi Arrow Team,
I'm using Apache Arrow with AWS Lambda Functions.
The primary motivation is AWS Athena's user-defined functions[1]. Those
functions process and return Arrow IPC segments.
* The published Python wheels for Apache Arrow
Hi Arrow Team,
I'm using Apache Arrow with AWS Lambda Functions.
The primary motivation is AWS Athena's user-defined functions[1]. Those
functions process and return Arrow IPC segments.
* The published Python wheels for Apache Arrow include almost every feature
of Arrow. (Gandiva, Plasma, Fligh
