umartin opened a new issue, #1040:
URL: https://github.com/apache/sedona/issues/1040

   I recently upgraded our pipelines from Sedona 1.4.0 to Sedona 1.4.1 and one 
of them is failing with OutOfMemoryException. It fails even if I double the 
memory budget. I have tracked the regression down to this commit which added 
metrics to the NestedLoopJudgement. 
https://github.com/apache/sedona/pull/851/files#diff-2eb9b76007b1dc6ede8341c8e0864b3b7a7d0e2d4e7203220ec1e74c590124f9
   
   ## Expected behavior
   
   No drastic increase in memory use.
   
   ## Actual behavior
   
   OOM
   
   ## Steps to reproduce the problem
   
   Run a job with no index and a large number of partitions. Sedona 1.4.1 need 
significantly more memory.
   
   ## Settings
   
   sedona.global.index=false
   sedona.join.numpartition=20000
   
   Sedona version = 1.4.1
   
   Apache Spark version = 3.4
   
   API type = Java and Python tested
   
   Scala version = 2.12
   
   JRE version = 17
   
   Python version = 3.11
   
   Environment = Standalone


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