Yuming Wang created SPARK-24916:
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Summary: Fix type coercion for IN expression with subquery
Key: SPARK-24916
URL: https://issues.apache.org/jira/browse/SPARK-24916
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.3.0, 2.2.0
Reporter: Yuming Wang
How to reproduce:
{code:sql}
CREATE TEMPORARY VIEW t4 AS SELECT * FROM VALUES
(CAST(1 AS DOUBLE), CAST(2 AS STRING), CAST(3 AS STRING))
AS t1(t4a, t4b, t4c);
CREATE TEMPORARY VIEW t5 AS SELECT * FROM VALUES
(CAST(1 AS DECIMAL(18, 0)), CAST(2 AS STRING), CAST(3 AS BIGINT))
AS t1(t5a, t5b, t5c);
SELECT * FROM t4
WHERE
(t4a, t4b, t4c) IN (SELECT t5a,
t5b,
t5c
FROM t5);
{code}
Will throw exception:
{noformat}
org.apache.spark.sql.AnalysisException
cannot resolve '(named_struct('t4a', t4.`t4a`, 't4b', t4.`t4b`, 't4c',
t4.`t4c`) IN (listquery()))' due to data type mismatch:
The data type of one or more elements in the left hand side of an IN subquery
is not compatible with the data type of the output of the subquery
Mismatched columns:
[(t4.`t4a`:double, t5.`t5a`:decimal(18,0)), (t4.`t4c`:string, t5.`t5c`:bigint)]
Left side:
[double, string, string].
Right side:
[decimal(18,0), string, bigint].;
{noformat}
But it success on Spark 2.1.x.
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