comphead commented on issue #3881:
URL:
https://github.com/apache/datafusion-comet/issues/3881#issuecomment-4513689081
```
spark.sql("CREATE TEMP VIEW t1 AS SELECT * FROM VALUES (1,5),(2,-1),(3,0)
AS t1(id,v)")
spark.sql("CREATE TEMP VIEW t2 AS SELECT * FROM VALUES (1),(3) AS t2(id)")
spark.sql("SELECT * FROM t1 WHERE v > 0 OR EXISTS (SELECT 1 FROM t2 WHERE
t2.id = t1.id)")
.explain(true)
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- Project [id#41, v#42]
+- Filter ((v#42 > 0) OR exists#50)
+- BroadcastHashJoin [id#41], [id#45], ExistenceJoin(exists#50),
BuildRight, false
:- LocalTableScan [id#41, v#42]
+- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0,
int, false] as bigint)),false), [plan_id=123]
+- Project [id#45]
+- LocalTableScan [1#47, id#45]
```
In DataFusion potentially we can use `LeftMark/RightMark` joins, however we
need to check if those follow full three-valued mark semantics
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