Hi all,
[NB: sent to d-science, d-python, d-devel and the RFP bug; reply-to
set to d-science and the RFP bug only]
An update on Apache Arrow, and in particular the Python library
PyArrow. For those who don't know:
Apache Arrow is a development platform for in-memory analytics. It
contains a set of technologies that enable big data systems to
process and move data fast. It specifies a standardized
language-independent columnar memory format for flat and
hierarchical data, organized for efficient analytic operations on
modern hardware.
The project is developing a multi-language collection of libraries
for solving systems problems related to in-memory analytical data
processing. This includes such topics as:
* Zero-copy shared memory and RPC-based data movement
* Reading and writing file formats (like CSV, Apache ORC, and Apache
Parquet)
* In-memory analytics and query processing
(from: https://arrow.apache.org/docs/index.html)
Pandas has announced that Pandas 3.x will depend on PyArrow
in a critical way (it will back the "string" datatype), and it is due
to be released imminently.
So this is a plea for anyone looking for something really helpful to
do: it would be great to have a group of developers finally package
this! There was some initial work done (see the RFP bug report for
details: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=970021),
but that is fairly old now. As Apache Arrow supports numerous
languages, it may well benefit from having a group of developers with
different areas of expertise to build it. (Or perhaps it would make
more sense to split the upstream source into a collection of different
Debian source packages for the different supported languages. I don't
know.) Unfortunately I don't have the capacity to devote any time to
it myself.
Thanks in advance for anyone who can step forward for this!
Best wishes,
Julian
