Class

org.apache.spark.sql.execution

QueryExecution

Related Doc: package execution

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class QueryExecution extends AnyRef

The primary workflow for executing relational queries using Spark. Designed to allow easy access to the intermediate phases of query execution for developers.

While this is not a public class, we should avoid changing the function names for the sake of changing them, because a lot of developers use the feature for debugging.

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Instance Constructors

  1. new QueryExecution(sqlContext: SQLContext, logical: LogicalPlan)

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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. lazy val analyzed: LogicalPlan

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  5. final def asInstanceOf[T0]: T0

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  6. def assertAnalyzed(): Unit

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  7. def clone(): AnyRef

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. lazy val executedPlan: SparkPlan

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. val logical: LogicalPlan

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. lazy val optimizedPlan: LogicalPlan

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  20. def simpleString: String

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  21. lazy val sparkPlan: SparkPlan

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  22. val sqlContext: SQLContext

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  23. def stringOrError[A](f: ⇒ A): String

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

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  25. lazy val toRdd: RDD[InternalRow]

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    Internal version of the RDD.

    Internal version of the RDD. Avoids copies and has no schema

  26. def toString(): String

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

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  28. final def wait(arg0: Long, arg1: Int): Unit

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  29. final def wait(arg0: Long): Unit

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  30. lazy val withCachedData: LogicalPlan

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