shenavaa opened a new issue, #775:
URL: https://github.com/apache/sedona/issues/775

   ## Expected behavior
   spark-sql> select st_geohash(st_point(151.194,-33.816),3);
   r3g
   Time taken: 0.078 seconds, Fetched 1 row(s)
   spark-sql>
   ## Actual behavior
   spark-sql> select st_geohash(st_point(151.194,-33.816),3);
   NULL
   Time taken: 0.078 seconds, Fetched 1 row(s)
   spark-sql>
   
   ## Steps to reproduce the problem
   Launch a spark SQL shell with following command on EMR 6.9.0 and spark 3.3.0:
   
   $ spark-sql --packages 
org.apache.sedona:sedona-python-adapter-3.0_2.12:1.2.0-incubating,org.apache.sedona:sedona-viz-3.0_2.12:1.2.0-incubating,org.datasyslab:geotools-wrapper:geotools-24.0
   --conf spark.serializer=org.apache.spark.serializer.KryoSerializer   --conf 
spark.kryo.registrator=org.apache.sedona.viz.core.Serde.SedonaVizKryoRegistrator
   --conf 
spark.sql.extensions=org.apache.sedona.viz.sql.SedonaVizExtensions,org.apache.sedona.sql.SedonaSqlExtensions
   
   ## Settings
   All default. 1 single node EMR cluster, r6gd.2xlarge instance.
   
   Sedona version = ?
   1.2.0
   Apache Spark version = ?
   3.3.0
   Apache Flink version = ?
   NA
   API type = Scala, Java, Python?
   SQL
   Scala version = 2.11, 2.12, 2.13?
   2.12
   JRE version = 1.8, 1.11?
   [hadoop@ip-192-168-40-38 ~]$ java -version
   openjdk version "1.8.0_352"
   OpenJDK Runtime Environment Corretto-8.352.08.1 (build 1.8.0_352-b08)
   OpenJDK 64-Bit Server VM Corretto-8.352.08.1 (build 25.352-b08, mixed mode)
   
   Python version = ?
   
   Environment = Standalone, AWS EC2, EMR, Azure, Databricks?
   EMR 6.9.0
   


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