Packages

class CacheManager extends Logging with AdaptiveSparkPlanHelper

Provides support in a SQLContext for caching query results and automatically using these cached results when subsequent queries are executed. Data is cached using byte buffers stored in an InMemoryRelation. This relation is automatically substituted query plans that return the sameResult as the originally cached query.

Internal to Spark SQL. All its public APIs take analyzed plans and will normalize them before further usage, or take Dataset and get its normalized plan. See QueryExecution.normalize for more details about plan normalization.

Linear Supertypes
AdaptiveSparkPlanHelper, Logging, AnyRef, Any
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Inherited
  1. CacheManager
  2. AdaptiveSparkPlanHelper
  3. Logging
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new CacheManager()

Type Members

  1. implicit class LogStringContext extends AnyRef
    Definition Classes
    Logging

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. def allChildren(p: SparkPlan): Seq[SparkPlan]
    Attributes
    protected
    Definition Classes
    AdaptiveSparkPlanHelper
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def cacheQuery(spark: classic.SparkSession, planToCache: LogicalPlan, tableName: Option[String], storageLevel: StorageLevel): Unit

    Caches the data produced by the given LogicalPlan.

    Caches the data produced by the given LogicalPlan. The given plan will be normalized before being used further.

  7. def cacheQuery(query: classic.Dataset[_], tableName: Option[String], storageLevel: StorageLevel): Unit

    Caches the data produced by the logical representation of the given Dataset.

  8. def cacheQuery(query: classic.Dataset[_]): Unit
  9. def clearCache(): Unit

    Clears all cached tables.

  10. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
  11. def collect[B](p: SparkPlan)(pf: PartialFunction[SparkPlan, B]): Seq[B]

    Returns a Seq containing the result of applying a partial function to all elements in this tree on which the function is defined.

    Returns a Seq containing the result of applying a partial function to all elements in this tree on which the function is defined.

    Definition Classes
    AdaptiveSparkPlanHelper
  12. def collectFirst[B](p: SparkPlan)(pf: PartialFunction[SparkPlan, B]): Option[B]

    Finds and returns the first SparkPlan of the tree for which the given partial function is defined (pre-order), and applies the partial function to it.

    Finds and returns the first SparkPlan of the tree for which the given partial function is defined (pre-order), and applies the partial function to it.

    Definition Classes
    AdaptiveSparkPlanHelper
  13. def collectLeaves(p: SparkPlan): Seq[SparkPlan]

    Returns a Seq containing the leaves in this tree.

    Returns a Seq containing the leaves in this tree.

    Definition Classes
    AdaptiveSparkPlanHelper
  14. def collectWithSubqueries[B](p: SparkPlan)(f: PartialFunction[SparkPlan, B]): Seq[B]

    Returns a sequence containing the result of applying a partial function to all elements in this plan, also considering all the plans in its (nested) subqueries

    Returns a sequence containing the result of applying a partial function to all elements in this plan, also considering all the plans in its (nested) subqueries

    Definition Classes
    AdaptiveSparkPlanHelper
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  17. def find(p: SparkPlan)(f: (SparkPlan) => Boolean): Option[SparkPlan]

    Find the first SparkPlan that satisfies the condition specified by f.

    Find the first SparkPlan that satisfies the condition specified by f. The condition is recursively applied to this node and all of its children (pre-order).

    Definition Classes
    AdaptiveSparkPlanHelper
  18. def flatMap[A](p: SparkPlan)(f: (SparkPlan) => IterableOnce[A]): Seq[A]

    Returns a Seq by applying a function to all nodes in this tree and using the elements of the resulting collections.

    Returns a Seq by applying a function to all nodes in this tree and using the elements of the resulting collections.

    Definition Classes
    AdaptiveSparkPlanHelper
  19. def foreach(p: SparkPlan)(f: (SparkPlan) => Unit): Unit

    Runs the given function on this node and then recursively on children.

    Runs the given function on this node and then recursively on children.

    f

    the function to be applied to each node in the tree.

    Definition Classes
    AdaptiveSparkPlanHelper
  20. def foreachUp(p: SparkPlan)(f: (SparkPlan) => Unit): Unit

    Runs the given function recursively on children then on this node.

    Runs the given function recursively on children then on this node.

    f

    the function to be applied to each node in the tree.

    Definition Classes
    AdaptiveSparkPlanHelper
  21. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @IntrinsicCandidate() @native()
  22. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @IntrinsicCandidate() @native()
  23. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  24. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. def isEmpty: Boolean

    Checks if the cache is empty.

  26. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  27. def isSubDir(qualifiedPathParent: Path, qualifiedPathChild: Path): Boolean

    Checks if the given child path is a sub-directory of the given parent path.

    Checks if the given child path is a sub-directory of the given parent path.

    returns

    True if the child path is a sub-directory of the given parent path. Otherwise, false.

  28. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  29. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  30. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logDebug(entry: LogEntry, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. def logDebug(entry: LogEntry): Unit
    Attributes
    protected
    Definition Classes
    Logging
  33. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  35. def logError(entry: LogEntry, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  36. def logError(entry: LogEntry): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logInfo(entry: LogEntry, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logInfo(entry: LogEntry): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  43. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logTrace(entry: LogEntry, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(entry: LogEntry): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logWarning(entry: LogEntry, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logWarning(entry: LogEntry): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def lookupCachedData(session: classic.SparkSession, plan: LogicalPlan): Option[CachedData]

    Optionally returns cached data for the given LogicalPlan.

    Optionally returns cached data for the given LogicalPlan. The given plan will be normalized before being used further.

  52. def lookupCachedData(query: classic.Dataset[_]): Option[CachedData]

    Optionally returns cached data for the given Dataset

  53. def mapPlans[A](p: SparkPlan)(f: (SparkPlan) => A): Seq[A]

    Returns a Seq containing the result of applying the given function to each node in this tree in a preorder traversal.

    Returns a Seq containing the result of applying the given function to each node in this tree in a preorder traversal.

    f

    the function to be applied.

    Definition Classes
    AdaptiveSparkPlanHelper
  54. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  55. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  56. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  57. def recacheByPath(spark: classic.SparkSession, resourcePath: Path, fs: FileSystem): Unit

    Tries to re-cache all the cache entries that contain resourcePath in one or more HadoopFsRelation node(s) as part of its logical plan.

  58. def recacheByPath(spark: classic.SparkSession, resourcePath: String): Unit

    Tries to re-cache all the cache entries that contain resourcePath in one or more HadoopFsRelation node(s) as part of its logical plan.

  59. def recacheByPlan(spark: classic.SparkSession, plan: LogicalPlan): Unit

    Tries to re-cache all the cache entries that refer to the given plan.

    Tries to re-cache all the cache entries that refer to the given plan. The given plan will be normalized before being used further.

  60. def stripAQEPlan(p: SparkPlan): SparkPlan

    Strip the top AdaptiveSparkPlanExec and ResultQueryStageExec nodes off the SparkPlan.

    Strip the top AdaptiveSparkPlanExec and ResultQueryStageExec nodes off the SparkPlan.

    Definition Classes
    AdaptiveSparkPlanHelper
  61. def subqueriesAll(p: SparkPlan): Seq[SparkPlan]

    Returns a sequence containing the subqueries in this plan, also including the (nested) subqueries in its children

    Returns a sequence containing the subqueries in this plan, also including the (nested) subqueries in its children

    Definition Classes
    AdaptiveSparkPlanHelper
  62. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  63. def toString(): String
    Definition Classes
    AnyRef → Any
  64. def uncacheQuery(spark: classic.SparkSession, plan: LogicalPlan, cascade: Boolean): Unit
  65. def uncacheQuery(spark: classic.SparkSession, plan: LogicalPlan, cascade: Boolean, blocking: Boolean): Unit

    Un-cache the given plan or all the cache entries that refer to the given plan.

    Un-cache the given plan or all the cache entries that refer to the given plan.

    spark

    The Spark session.

    plan

    The plan to be un-cached.

    cascade

    If true, un-cache all the cache entries that refer to the given plan; otherwise un-cache the given plan only.

    blocking

    Whether to block until all blocks are deleted.

  66. def uncacheQuery(query: classic.Dataset[_], cascade: Boolean): Unit
  67. def uncacheQuery(query: classic.Dataset[_], cascade: Boolean, blocking: Boolean): Unit

    Un-cache the given plan or all the cache entries that refer to the given plan.

    Un-cache the given plan or all the cache entries that refer to the given plan.

    query

    The Dataset to be un-cached.

    cascade

    If true, un-cache all the cache entries that refer to the given Dataset; otherwise un-cache the given Dataset only.

    blocking

    Whether to block until all blocks are deleted.

  68. def uncacheTableOrView(spark: classic.SparkSession, name: Seq[String], cascade: Boolean): Unit
  69. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  70. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  71. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  72. def withLogContext(context: Map[String, String])(body: => Unit): Unit
    Attributes
    protected
    Definition Classes
    Logging

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from AdaptiveSparkPlanHelper

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped