I'm sure this is something simple I'm missing. Caveat, I'm not a developer, but can manage.
Is there something different that needs to be done in Sedona vs the previous Snapshot version for Spark 3.0 to get additional columns to carry through in the JoinQuery.SpatialJoinQueryFlat results? Previously, I just passed the columns in with the Adapter.toSpatialRDD and they carried through. Now, I'm just just getting my two Geometry columns when converting back to a dataframe. I've tried passing the left and right field names into Adapter.toDf, but that results in an error when displaying the resulting dataframe. I'm using Scala in Databricks. I've read the online documentation, but can't seem to find examples that help in this scenario. Sedona: [cid:image001.jpg@01D709D0.81EA6A30] [cid:image002.jpg@01D709D0.81EA6A30] Snapshot: [cid:image003.jpg@01D709D0.81EA6A30] [cid:image004.jpg@01D709D0.81EA6A30] Thanks, Jerrod This email contains confidential material for the sole use of the intended recipient(s). Any review, use, distribution, or disclosure by others is strictly prohibited. If you are not the intended recipient (or authorized to receive for the recipient), please contact the sender by reply email and delete all copies of this message.
