Github user lossyrob commented on the issue:
https://github.com/apache/spark/pull/16478
Using geospatial data types with Spark SQL require UDTs, and solutions are
hacking around the fact that they are private to the package. e.g.:
-
https://github.com/s22s/geotrellis-spark-sql/blob/master/src/main/scala/org/apache/spark/sql/gt/types/AbstractTileUDT.scala#L32
-
https://github.com/locationtech/geomesa/blob/master/geomesa-spark/geomesa-spark-sql/src/main/scala/org/apache/spark/sql/SQLTypes.scala#L70
[GeoTrellis](https://geotrellis.io/) and [GeoMesa](http://www.geomesa.org/)
wrote this code as a way to get around UDTs not being public available, with
the idea that we'd fix things up once the API went back to being public. As you
can see by how much code is written against it, it is very useful and it works.
We'd really like to see this feature and API become public as it's very
essential to our work.
Let me know if there's any help I can give.
/cc @jnh5y @metasim
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