Packages

class QueryExecution extends Logging

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.

Linear Supertypes
Logging, AnyRef, Any
Known Subclasses
IncrementalExecution
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  1. QueryExecution
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Instance Constructors

  1. new QueryExecution(sparkSession: SparkSession, logical: LogicalPlan, tracker: QueryPlanningTracker = new QueryPlanningTracker)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. lazy val analyzed: LogicalPlan
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def assertAnalyzed(): Unit
  7. def assertSupported(): Unit
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def executePhase[T](phase: String)(block: ⇒ T): T
    Attributes
    protected
  12. lazy val executedPlan: SparkPlan
  13. def explainString(mode: ExplainMode): String
  14. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. val id: Long
  18. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  19. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  20. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  21. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  22. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  23. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  24. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  26. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  27. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  28. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  29. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  30. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  33. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. val logical: LogicalPlan
  35. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  36. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  37. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  38. def observedMetrics: Map[String, Row]

    Get the metrics observed during the execution of the query plan.

  39. lazy val optimizedPlan: LogicalPlan
  40. def planner: SparkPlanner
    Attributes
    protected
  41. def preparations: Seq[Rule[SparkPlan]]
    Attributes
    protected
  42. def simpleString: String
  43. lazy val sparkPlan: SparkPlan
  44. val sparkSession: SparkSession
  45. def stringWithStats: String
  46. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  47. lazy val toRdd: RDD[InternalRow]

    Internal version of the RDD.

    Internal version of the RDD. Avoids copies and has no schema. Note for callers: Spark may apply various optimization including reusing object: this means the row is valid only for the iteration it is retrieved. You should avoid storing row and accessing after iteration. (Calling collect() is one of known bad usage.) If you want to store these rows into collection, please apply some converter or copy row which produces new object per iteration. Given QueryExecution is not a public class, end users are discouraged to use this: please use Dataset.rdd instead where conversion will be applied.

  48. def toString(): String
    Definition Classes
    QueryExecution → AnyRef → Any
  49. val tracker: QueryPlanningTracker
  50. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  51. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  52. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  53. lazy val withCachedData: LogicalPlan
  54. object debug

    A special namespace for commands that can be used to debug query execution.

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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