Open MoSarwat opened 1 year ago
Can you not use the Trino support by Spark?
For example, you can connect Spark to Trino via JDBC. See here for the Trino JDBC driver.
If you do not want to use Spark at all then you are the moment bound to the Trino internal geospatial functions.
Or are you missing some functions that are supported by Sedona? Then please name them and one can see how they can be added to Trino as custom functions.
I think this would be at great addition to both Trino and Sedona. The current geospatial support in Trino is very limited compared to Sedona.
Features in Sedona that i miss in Trino
Expected behavior
Actual behavior
Steps to reproduce the problem
Settings
Sedona version = ?
Apache Spark version = ?
Apache Flink version = ?
API type = Scala, Java, Python?
Scala version = 2.11, 2.12, 2.13?
JRE version = 1.8, 1.11?
Python version = ?
Environment = Standalone, AWS EC2, EMR, Azure, Databricks?