class RowLevelOperationRuntimeGroupFiltering extends Rule[LogicalPlan] with PredicateHelper
A rule that assigns a subquery to filter groups in row-level operations at runtime.
Data skipping during job planning for row-level operations is limited to expressions that can be converted to data source filters. Since not all expressions can be pushed down that way and rewriting groups is expensive, Spark allows data sources to filter group at runtime. If the primary scan in a group-based row-level operation supports runtime filtering, this rule will inject a subquery to find all rows that match the condition so that data sources know exactly which groups must be rewritten.
Note this rule only applies to group-based row-level operations.
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- new RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[LogicalPlan])
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def
apply(plan: LogicalPlan): LogicalPlan
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buildBalancedPredicate(expressions: Seq[Expression], op: (Expression, Expression) ⇒ Expression): Expression
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conf: SQLConf
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def
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def
outputWithNullability(output: Seq[Attribute], nonNullAttrExprIds: Seq[ExprId]): Seq[Attribute]
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def
replaceAlias(expr: Expression, aliasMap: AttributeMap[Alias]): Expression
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def
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lazy val
ruleId: RuleId
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ruleName: String
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def
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trimAliases(e: Expression): Expression
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