org.apache.spark.sql.execution

SparkOptimizer

class SparkOptimizer extends Optimizer

Linear Supertypes
Optimizer, RuleExecutor[LogicalPlan], Logging, AnyRef, Any
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Inherited
  1. SparkOptimizer
  2. Optimizer
  3. RuleExecutor
  4. Logging
  5. AnyRef
  6. Any
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Visibility
  1. Public
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Instance Constructors

  1. new SparkOptimizer(catalog: SessionCatalog, conf: SQLConf, experimentalMethods: ExperimentalMethods)

Type Members

  1. case class Batch extends Product with Serializable

    Attributes
    protected
    Definition Classes
    RuleExecutor
  2. case class FixedPoint extends Strategy with Product with Serializable

    Definition Classes
    RuleExecutor
  3. abstract class Strategy extends AnyRef

    Definition Classes
    RuleExecutor

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. object Once extends Strategy with Product with Serializable

    Definition Classes
    RuleExecutor
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. def batches: Seq[Batch]

    Definition Classes
    SparkOptimizer → Optimizer → RuleExecutor
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  12. def execute(plan: LogicalPlan): LogicalPlan

    Definition Classes
    RuleExecutor
  13. def extendedOperatorOptimizationRules: Seq[Rule[LogicalPlan]]

    Definition Classes
    Optimizer
  14. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. val fixedPoint: FixedPoint

    Attributes
    protected
    Definition Classes
    Optimizer
  16. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  17. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  18. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging
  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  20. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  21. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  22. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  23. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  24. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  25. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  26. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  27. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  28. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  29. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  30. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  31. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  32. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  33. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  34. final def notify(): Unit

    Definition Classes
    AnyRef
  35. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  36. def postHocOptimizationBatches: Seq[Batch]

    Optimization batches that are executed after the regular optimization batches, but before the batch executing the ExperimentalMethods optimizer rules.

    Optimization batches that are executed after the regular optimization batches, but before the batch executing the ExperimentalMethods optimizer rules. This hook can be used to add custom optimizer batches to the Spark optimizer.

  37. def preOptimizationBatches: Seq[Batch]

    Optimization batches that are executed before the regular optimization batches (also before the finish analysis batch).

  38. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  39. def toString(): String

    Definition Classes
    AnyRef → Any
  40. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Optimizer

Inherited from RuleExecutor[LogicalPlan]

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped