andygrove commented on PR #1904:
URL: 
https://github.com/apache/datafusion-comet/pull/1904#issuecomment-2985784145

   > > @comphead we seem to have a correctness issue when enabling LeftAnti + 
BuildRight:
   > > ```
   > > [info]   +- == Initial Plan ==
   > > [info]      CometBroadcastHashJoin [c1#253], [c2#260], LeftAnti, 
BuildRight
   > > [info]      :- CometScan parquet 
spark_catalog.default.test_table[c1#253,c2#254] Batched: true, DataFilters: [], 
Format: CometParquet, Location: InMemoryFileIndex(1 
paths)[file:/home/andy/git/apache/apache-spark-3.5.6/sql/core/spark-warehouse...,
 PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c1:int,c2:int>
   > > [info]      +- CometBroadcastExchange [c2#260]
   > > [info]         +- CometScan parquet 
spark_catalog.default.test_table[c2#260] Batched: true, DataFilters: [], 
Format: CometParquet, Location: InMemoryFileIndex(1 
paths)[file:/home/andy/git/apache/apache-spark-3.5.6/sql/core/spark-warehouse...,
 PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c2:int>
   > > [info]   
   > > [info]   == Results ==
   > > [info]   
   > > [info]   == Results ==
   > > [info]   !== Correct Answer - 0 ==   == Spark Answer - 2 ==
   > > [info]   !struct<>                   struct<c1:int,c2:int>
   > > [info]   !                           [4,null]
   > > [info]   !                           [null,0] (QueryTest.scala:244)
   > > ```
   > 
   > Thanks @andygrove for experimenting with it, please correct me if I'm 
wrong. The result shows correctness issue but before it has been failing on not 
supported error?
   
   Previously, we just had a check in Comet and fell back to Spark for this 
type of join, therefore avoiding the issue.


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