[postgis-users] geospatial functions on Databricks appear to lag behind PostGIS?

[Shaozhong SHI]

Hi, Regina,

There are a number of geospatial libraries available in Azure.  In terms of
3D capability, are they all lagging behind PostGIS?

Regards,

David

On Tue, 11 Oct 2022 at 04:37, Regina Obe <lr at pcorp.us> wrote:

> At a glance it sounds about right.
>
> Much of the 3D PostGIS functionality is built in or implemented in SFCGAL.
>
>
>
> It looks like Spark utilizes JTS (of which GEOS is a fork of, which is
> what PostGIS uses for almost all the 2D processing).
>
> So I would expect the functionality to be limited to what you see in
> JTS/GEOS.  Both JTS and GEOS are picking up steam in the 3D arena, so I
> expect this story to change in the next year or so.
>
>
>
> *From:* postgis-users [mailto:postgis-users-bounces at lists.osgeo.org] *On
> Behalf Of *Shaozhong SHI
> *Sent:* Monday, October 10, 2022 7:44 AM
> *To:* PostGIS Users Discussion <postgis-users at lists.osgeo.org>
> *Subject:* [postgis-users] geospatial functions on Databricks appear to
> lag behind PostGIS?
>
>
>
> It appears that geospatial functions on databricks lag behind PostGIS.
>
>
>
> It appears that there is no 3d geometric operations such as
> ST_3DIntersects.
>
>
>
> 11.6. SparkSQL Functions — GeoMesa 3.4.0 Manuals
> <https://www.geomesa.org/documentation/stable/user/spark/sparksql_functions.html>
>
>
>
> Is that right?
>
>
>
> Regards,
>
>
>
> David
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