org.apache.spark.sql.catalyst.rules

RuleExecutor

abstract class RuleExecutor[TreeType <: TreeNode[_]] extends Logging

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Instance Constructors

  1. new RuleExecutor()

Type Members

  1. case class Batch(name: String, strategy: Strategy, rules: Rule[TreeType]*) extends Product with Serializable

    A batch of rules.

    A batch of rules.

    Attributes
    protected
  2. case class FixedPoint(maxIterations: Int) extends Strategy with Product with Serializable

    A strategy that runs until fix point or maxIterations times, whichever comes first.

  3. abstract class Strategy extends AnyRef

    An execution strategy for rules that indicates the maximum number of executions.

    An execution strategy for rules that indicates the maximum number of executions. If the execution reaches fix point (i.e. converge) before maxIterations, it will stop.

Abstract Value Members

  1. abstract val batches: Seq[Batch]

    Defines a sequence of rule batches, to be overridden by the implementation.

    Defines a sequence of rule batches, to be overridden by the implementation.

    Attributes
    protected

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. object Once extends Strategy with Product with Serializable

    A strategy that only runs once.

  5. def apply(plan: TreeType): TreeType

    Executes the batches of rules defined by the subclass.

    Executes the batches of rules defined by the subclass. The batches are executed serially using the defined execution strategy. Within each batch, rules are also executed serially.

  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  14. def isTraceEnabled(): Boolean

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  15. def log: Logger

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