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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Visibility
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Instance Constructors

  1. new QueryExecution(sparkSession: SparkSession, logical: LogicalPlan, tracker: QueryPlanningTracker = new QueryPlanningTracker, mode: CommandExecutionMode.Value = CommandExecutionMode.ALL)

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

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

  42. lazy val optimizedPlan: LogicalPlan
  43. def planner: SparkPlanner
    Attributes
    protected
  44. def preparations: Seq[Rule[SparkPlan]]
    Attributes
    protected
  45. def simpleString: String
  46. lazy val sparkPlan: SparkPlan
  47. val sparkSession: SparkSession
  48. def stringWithStats: String
  49. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  50. 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.

  51. def toString(): String
    Definition Classes
    QueryExecution → AnyRef → Any
  52. val tracker: QueryPlanningTracker
  53. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  54. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  55. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  56. lazy val withCachedData: LogicalPlan
  57. def withCteMap[T](f: ⇒ T): T
  58. 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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