- Grant support for Scala 2.12 and Spark 3.0
I meant here Python.
- Implement loading geospatial data sources (geojson, shapefile, osm, wkb,
wkt) from Dataframe API like
-- spark.read.format("geojson").load(path)
It is possible and I think it will be easier for users to load the data
(Also agree
Hi Paweł and CCed sedona-dev and other committers,
Please find my opinion below.
- Grant support for Scala 2.12 and Spark 3.0
Jia: the Scala and Java code in the master branch has supported Spark 3.0+
2.12. We need to support the following: Sedona Scala 2.12 support for other
Spark versions and S
Yes, that's right.
We are already working on that.
I hope to create the PR soon.
On Fri, Aug 21, 2020, 11:35 Jia Yu wrote:
> Hi folks,
>
> I believe the conclusion is that we should use the wrapper solution
> instead of the reflection, right? (of course, with additional care to the
> wrapper)
>
Hi folks,
I believe the conclusion is that we should use the wrapper solution instead
of the reflection, right? (of course, with additional care to the wrapper)
Thanks,
Jia
On Sun, Aug 9, 2020 at 11:37 PM Paweł Kociński
wrote:
> Hi,
> From my point of view, Python API needs only a few changes
Dear ASF Secretary,
This is Jia Yu. I am a committer of Apache Sedona (incubating). We are
working on importing our old codebase from GitHub (
https://github.com/DataSystemsLab/GeoSpark) to ASF GitHub repo (
https://github.com/apache/incubator-sedona). We have been waiting for more
than one month
