allisonwang-db commented on a change in pull request #32787:
URL: https://github.com/apache/spark/pull/32787#discussion_r660149328
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File path: sql/core/src/test/resources/sql-tests/results/join-lateral.sql.out
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@@ -80,6 +80,46 @@ struct<c1:int,c2:int,c1:int,c2:int>
1 2 0 3
+-- !query
+SELECT * FROM t1, LATERAL (SELECT t1.*)
+-- !query schema
+struct<c1:int,c2:int,c1:int,c2:int>
+-- !query output
+0 1 0 1
+1 2 1 2
+
+
+-- !query
+SELECT * FROM t1, LATERAL (SELECT t1.*, t2.* FROM t2)
+-- !query schema
+struct<c1:int,c2:int,c1:int,c2:int,c1:int,c2:int>
+-- !query output
+0 1 0 1 0 2
+0 1 0 1 0 3
+1 2 1 2 0 2
+1 2 1 2 0 3
+
+
+-- !query
+SELECT * FROM t1, LATERAL (SELECT t1.* FROM t2 AS t1)
+-- !query schema
+struct<c1:int,c2:int,c1:int,c2:int>
+-- !query output
+0 1 0 2
+0 1 0 3
+1 2 0 2
+1 2 0 3
+
+
+-- !query
+SELECT * FROM t1, LATERAL (SELECT t1.*, t2.* FROM t2, LATERAL (SELECT t1.*,
t2.*, t3.* FROM t2 AS t3))
Review comment:
Good question. Current Spark can only resolve the subquery using the
immediate outer query. In this case t1.* can only be resolved using output from
t2, which is c1, c2. There are many other places need to be updated to support
nested subqueries with deep correlations.
https://github.com/apache/spark/blob/9c157a490bb59e02dcf44b14b411ea5beb68c238/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/subquery.scala#L164-L173
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