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Posted to issues@spark.apache.org by "David Mollitor (Jira)" <ji...@apache.org> on 2026/09/22 21:05:00 UTC
[jira] [Created] (SPARK-59719) Mark CheckOverflow as null-intolerant to match MakeDecimal
David Mollitor created SPARK-59719:
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Summary: Mark CheckOverflow as null-intolerant to match MakeDecimal
Key: SPARK-59719
URL: https://issues.apache.org/jira/browse/SPARK-59719
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 4.1.0
Reporter: David Mollitor
h3. Summary
{{CheckOverflow}} does not declare {{nullIntolerant}}, unlike its sibling {{MakeDecimal}}
(and {{UnscaledValue}}, {{Cast}}, and the arithmetic expressions). It already satisfies the null-intolerance contract at runtime -- it extends {{UnaryExpression}} and overrides
{{nullSafeEval}}, so {{UnaryExpression.eval}} returns null whenever the child is null -- so the property is simply undeclared. When the {{NullIntolerant}} marker trait was replaced by a {{def}} (SPARK-50241), the adjacent {{UnscaledValue}} and {{MakeDecimal}} were updated but {{CheckOverflow}} was missed.
h3. Change
Declare it null-intolerant:
{code:scala}
override def nullIntolerant: Boolean = true
{code}
h3. Why
{{nullIntolerant}} is consumed by the optimizer to:
* fold a null-literal input to a null literal ({{NullPropagation}}), and
* infer {{IsNotNull(child)}} constraints and push down {{IsNotNull}} filters
({{QueryPlanConstraints.scanNullIntolerantAttribute}} / {{InferFiltersFromConstraints}}).
{{CheckOverflow}} wraps decimal results throughout the plan (e.g. the decimal serializers in {{SerializerBuildHelper}}), so declaring the property it already honors lets these optimizations see through it, consistent with {{MakeDecimal}}.
The direction the optimizer relies on holds even though {{CheckOverflow}} with
{{nullOnOverflow = true}} can also return null from a non-null input on overflow: the contract only requires "null in => null out", not the converse -- the same situation as {{Cast}}.
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