umartin opened a new issue, #2816:
URL: https://github.com/apache/sedona/issues/2816

   Steps to reproduce:
   
   ```
   spark.sql("""
   select st_union_aggr(geom) from values (st_point(1,1)), (st_point(2,2)), 
(null) as t(geom)
   """).show()
   ```
   Result:
   ```
   ERROR Executor: Exception in task 0.0 in stage 20.0 (TID 23)
   java.lang.NullPointerException: Cannot invoke 
"org.locationtech.jts.geom.Geometry.apply(org.locationtech.jts.geom.GeometryFilter)"
 because "geom" is null
        at 
org.locationtech.jts.operation.union.InputExtracter.add(InputExtracter.java:136)
        at 
org.locationtech.jts.operation.union.InputExtracter.add(InputExtracter.java:128)
        at 
org.locationtech.jts.operation.union.InputExtracter.extract(InputExtracter.java:49)
        at 
org.locationtech.jts.operation.union.UnaryUnionOp.extract(UnaryUnionOp.java:156)
        at 
org.locationtech.jts.operation.union.UnaryUnionOp.<init>(UnaryUnionOp.java:137)
        at 
org.locationtech.jts.operation.overlayng.OverlayNGRobust.union(OverlayNGRobust.java:82)
        at 
org.apache.spark.sql.sedona_sql.expressions.ST_Union_Aggr.finish(AggregateFunctions.scala:88)
        at 
org.apache.spark.sql.sedona_sql.expressions.ST_Union_Aggr.finish(AggregateFunctions.scala:57)
        at 
org.apache.spark.sql.execution.aggregate.ScalaAggregator.eval(udaf.scala:532)
        at 
org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate.eval(interfaces.scala:594)
        at 
org.apache.spark.sql.execution.aggregate.AggregationIterator.$anonfun$generateResultProjection$5(AggregationIterator.scala:260)
        at 
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.next(ObjectAggregationIterator.scala:100)
        at 
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.next(ObjectAggregationIterator.scala:35)
        at 
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:403)
        at 
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:901)
        at 
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:901)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:374)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:338)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
        at 
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:171)
        at org.apache.spark.scheduler.Task.run(Task.scala:147)
        at 
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$5(Executor.scala:647)
        at 
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:80)
        at 
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:77)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:650)
        at java.base[/java.util.concurrent.ThreadPoolExecutor.runWorker](```
   


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