Allison Wang created SPARK-40615:
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Summary: Check unsupported data type when decorrelating subqueries
Key: SPARK-40615
URL: https://issues.apache.org/jira/browse/SPARK-40615
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 3.4.0
Reporter: Allison Wang
Currently, we don't check if the join condition after subquery decorrelation is
resolved or not. This can lead to confusing error messages to users. We should
throw proper exceptions when one or more join conditions after decorrelation
are not resolved.
For example:
{code:java}
create temp view v1(x) as values from_json('{"a":1, "b":2}', 'map<string,int>')
t(x)
select (select a + a from (select upper(x['a']) as a)) from v1
After applying rule
org.apache.spark.sql.catalyst.optimizer.PullupCorrelatedPredicates in batch
Pullup Correlated Expressions, the structural integrity of the plan is
broken.{code}
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