Expected behavior
we can use sedona's GIS function to generate geometry type
then df.write.format("geoparquet").saveAsTable(xxx) or spark.sql("create table xx as ")
then we can print actual schema both in spark / hive / impala
Actual behavior
then we can print actual schema only in spark , but SequenceFile in hms and Array type in hive / impala
Settings
Sedona version = 1.4.0
Apache Spark version = 3.2.2
API type = Pure SQL & spark-shell
Scala version = 2.12
JRE version = 1.8
Environment = Ambari+apache community components