org.apache.spark.sql.execution

QueryExecution

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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QueryExecution
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Instance Constructors

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

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. lazy val analyzed: LogicalPlan

  7. final def asInstanceOf[T0]: T0

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  8. def assertAnalyzed(): Unit

  9. def clone(): AnyRef

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

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  11. def equals(arg0: Any): Boolean

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  12. lazy val executedPlan: SparkPlan

  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. val logical: LogicalPlan

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. lazy val optimizedPlan: LogicalPlan

  22. def simpleString: String

  23. lazy val sparkPlan: SparkPlan

  24. val sqlContext: SQLContext

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

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

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  27. lazy val toRdd: RDD[InternalRow]

    Internal version of the RDD.

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

  28. def toString(): String

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  29. final def wait(): Unit

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

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

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  32. lazy val withCachedData: LogicalPlan

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