ruanqizhen opened a new issue, #1263:
URL: https://github.com/apache/sedona/issues/1263

   ## Expected behavior
   
   I’m utilizing Sedona functions within my PySpark queries. My source table 
might contain some WKTs that could potentially cause the Sedona functions to 
throw an error. When an error occurs, it interrupts the entire query.
   
   Is there a method to disregard the errors produced by Sedona functions and 
continue processing the remaining rows in the table?
   
   
   
   ## Settings
   
   Sedona version = 1.5
   
   Apache Spark version = 3.2
   
   Apache Flink version = ?
   
   API type =  Python
   
   Python version = 3.10
   
   Environment = Amazon Athena
   


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