Github user maropu commented on the issue:
https://github.com/apache/spark/pull/22408
How about this decimal case?
```
// v2.3.1
scala> spark.range(10).selectExpr("cast(id AS decimal(9, 0)) as
value").selectExpr("array_contains(array(1, 2, 3), value)").show
+--------------------------------------------------+
|array_contains(array(1, 2, 3), CAST(value AS INT))|
+--------------------------------------------------+
| false|
| true|
| true|
| true|
| false|
| false|
| false|
| false|
| false|
| false|
+--------------------------------------------------+
// this patch
scala> spark.range(10).selectExpr("cast(id AS decimal(9, 0)) as
value").selectExpr("array_contains(array(1, 2, 3), value)").show
org.apache.spark.sql.AnalysisException: cannot resolve
'array_contains(array(1, 2, 3), `value`)' due to data type mismatch: Input to
function array_contains should have been array followed by a value with same
element type, but it's [array<int>, decimal(9,0)].; line 1 pos 0;
'Project [unresolvedalias(array_contains(array(1, 2, 3), value#2),
Some(<function1>))]
+- Project [cast(id#0L as decimal(9,0)) AS value#2]
+- Range (0, 10, step=1, splits=Some(4))
```
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