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org.apache.spark.sql.execution

CollectLimitExec

case class CollectLimitExec(limit: Int, child: SparkPlan) extends SparkPlan with LimitExec with Product with Serializable

Take the first limit elements and collect them to a single partition.

This operator will be used when a logical Limit operation is the final operator in an logical plan, which happens when the user is collecting results back to the driver.

Linear Supertypes
LimitExec, UnaryExecNode, SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], TreeNode[SparkPlan], Product, Equals, AnyRef, Any
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Inherited
  1. CollectLimitExec
  2. LimitExec
  3. UnaryExecNode
  4. SparkPlan
  5. Serializable
  6. Serializable
  7. Logging
  8. QueryPlan
  9. TreeNode
  10. Product
  11. Equals
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CollectLimitExec(limit: Int, child: SparkPlan)

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 allAttributes: AttributeSeq
    Definition Classes
    QueryPlan
  5. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  6. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  7. def asCode: String
    Definition Classes
    TreeNode
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  10. val child: SparkPlan
    Definition Classes
    CollectLimitExecUnaryExecNode
  11. final def children: Seq[SparkPlan]
    Definition Classes
    UnaryExecNode → TreeNode
  12. def cleanupResources(): Unit

    Cleans up the resources used by the physical operator (if any).

    Cleans up the resources used by the physical operator (if any). In general, all the resources should be cleaned up when the task finishes but operators like SortMergeJoinExec and LimitExec may want eager cleanup to free up tight resources (e.g., memory).

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  13. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  14. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  15. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  16. def collectInPlanAndSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  17. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  18. def conf: SQLConf
    Definition Classes
    QueryPlan
  19. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  20. def copyTagsFrom(other: SparkPlan): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  21. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  22. def doExecute(): RDD[InternalRow]

    Produces the result of the query as an RDD[InternalRow]

    Produces the result of the query as an RDD[InternalRow]

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected
    Definition Classes
    CollectLimitExecSparkPlan
  23. def doExecuteBroadcast[T](): Broadcast[T]

    Produces the result of the query as a broadcast variable.

    Produces the result of the query as a broadcast variable.

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  24. def doExecuteColumnar(): RDD[ColumnarBatch]

    Produces the result of the query as an RDD[ColumnarBatch] if supportsColumnar returns true.

    Produces the result of the query as an RDD[ColumnarBatch] if supportsColumnar returns true. By convention the executor that creates a ColumnarBatch is responsible for closing it when it is no longer needed. This allows input formats to be able to reuse batches if needed.

    Attributes
    protected
    Definition Classes
    SparkPlan
  25. def doPrepare(): Unit

    Overridden by concrete implementations of SparkPlan.

    Overridden by concrete implementations of SparkPlan. It is guaranteed to run before any execute of SparkPlan. This is helpful if we want to set up some state before executing the query, e.g., BroadcastHashJoin uses it to broadcast asynchronously.

    Attributes
    protected
    Definition Classes
    SparkPlan
    Note

    prepare method has already walked down the tree, so the implementation doesn't have to call children's prepare methods. This will only be called once, protected by this.

  26. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. final def execute(): RDD[InternalRow]

    Returns the result of this query as an RDD[InternalRow] by delegating to doExecute after preparations.

    Returns the result of this query as an RDD[InternalRow] by delegating to doExecute after preparations.

    Concrete implementations of SparkPlan should override doExecute.

    Definition Classes
    SparkPlan
  28. final def executeBroadcast[T](): Broadcast[T]

    Returns the result of this query as a broadcast variable by delegating to doExecuteBroadcast after preparations.

    Returns the result of this query as a broadcast variable by delegating to doExecuteBroadcast after preparations.

    Concrete implementations of SparkPlan should override doExecuteBroadcast.

    Definition Classes
    SparkPlan
  29. def executeCollect(): Array[InternalRow]

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

    Definition Classes
    CollectLimitExecSparkPlan
  30. def executeCollectPublic(): Array[Row]

    Runs this query returning the result as an array, using external Row format.

    Runs this query returning the result as an array, using external Row format.

    Definition Classes
    SparkPlan
  31. final def executeColumnar(): RDD[ColumnarBatch]

    Returns the result of this query as an RDD[ColumnarBatch] by delegating to doColumnarExecute after preparations.

    Returns the result of this query as an RDD[ColumnarBatch] by delegating to doColumnarExecute after preparations.

    Concrete implementations of SparkPlan should override doColumnarExecute if supportsColumnar returns true.

    Definition Classes
    SparkPlan
  32. final def executeQuery[T](query: ⇒ T): T

    Executes a query after preparing the query and adding query plan information to created RDDs for visualization.

    Executes a query after preparing the query and adding query plan information to created RDDs for visualization.

    Attributes
    protected
    Definition Classes
    SparkPlan
  33. def executeTake(n: Int): Array[InternalRow]

    Runs this query returning the first n rows as an array.

    Runs this query returning the first n rows as an array.

    This is modeled after RDD.take but never runs any job locally on the driver.

    Definition Classes
    SparkPlan
  34. def executeToIterator(): Iterator[InternalRow]

    Runs this query returning the result as an iterator of InternalRow.

    Runs this query returning the result as an iterator of InternalRow.

    Definition Classes
    SparkPlan
    Note

    Triggers multiple jobs (one for each partition).

  35. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  36. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  37. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  38. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  39. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  40. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  41. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean): Unit
    Definition Classes
    TreeNode
  42. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  43. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  44. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  45. val id: Int
    Definition Classes
    SparkPlan
  46. def initializeForcefully(isInterpreter: Boolean, silent: Boolean): Unit
    Definition Classes
    Logging
  47. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  48. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  50. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  51. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  52. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  53. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  54. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  55. val limit: Int

    Number of element should be taken from child operator

    Number of element should be taken from child operator

    Definition Classes
    CollectLimitExecLimitExec
  56. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  57. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  64. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

    Definition Classes
    SparkPlan
  69. def longMetric(name: String): SQLMetric

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  70. def makeCopy(newArgs: Array[AnyRef]): SparkPlan

    Overridden make copy also propagates sqlContext to copied plan.

    Overridden make copy also propagates sqlContext to copied plan.

    Definition Classes
    SparkPlan → TreeNode
  71. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  72. def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    TreeNode
  73. def mapExpressions(f: (Expression) ⇒ Expression): CollectLimitExec.this.type
    Definition Classes
    QueryPlan
  74. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  75. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    CollectLimitExecSparkPlan
  76. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  77. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  78. def nodeName: String
    Definition Classes
    TreeNode
  79. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  80. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  81. def numberedTreeString: String
    Definition Classes
    TreeNode
  82. val origin: Origin
    Definition Classes
    TreeNode
  83. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  84. def output: Seq[Attribute]
    Definition Classes
    CollectLimitExec → QueryPlan
  85. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    SparkPlan
  86. def outputPartitioning: Partitioning

    Specifies how data is partitioned across different nodes in the cluster.

    Specifies how data is partitioned across different nodes in the cluster.

    Definition Classes
    CollectLimitExecSparkPlan
  87. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  88. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  89. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  90. def prepareSubqueries(): Unit

    Finds scalar subquery expressions in this plan node and starts evaluating them.

    Finds scalar subquery expressions in this plan node and starts evaluating them.

    Attributes
    protected
    Definition Classes
    SparkPlan
  91. def prettyJson: String
    Definition Classes
    TreeNode
  92. def printSchema(): Unit
    Definition Classes
    QueryPlan
  93. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  94. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  95. def requiredChildDistribution: Seq[Distribution]

    Specifies the data distribution requirements of all the children for this operator.

    Specifies the data distribution requirements of all the children for this operator. By default it's UnspecifiedDistribution for each child, which means each child can have any distribution.

    If an operator overwrites this method, and specifies distribution requirements(excluding UnspecifiedDistribution and BroadcastDistribution) for more than one child, Spark guarantees that the outputs of these children will have same number of partitions, so that the operator can safely zip partitions of these children's result RDDs. Some operators can leverage this guarantee to satisfy some interesting requirement, e.g., non-broadcast joins can specify HashClusteredDistribution(a,b) for its left child, and specify HashClusteredDistribution(c,d) for its right child, then it's guaranteed that left and right child are co-partitioned by a,b/c,d, which means tuples of same value are in the partitions of same index, e.g., (a=1,b=2) and (c=1,d=2) are both in the second partition of left and right child.

    Definition Classes
    SparkPlan
  96. def requiredChildOrdering: Seq[Seq[SortOrder]]

    Specifies sort order for each partition requirements on the input data for this operator.

    Specifies sort order for each partition requirements on the input data for this operator.

    Definition Classes
    SparkPlan
  97. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  98. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  99. lazy val schema: StructType
    Definition Classes
    QueryPlan
  100. def schemaString: String
    Definition Classes
    QueryPlan
  101. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  102. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  103. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  104. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  105. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  106. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  107. final val sqlContext: SQLContext

    A handle to the SQL Context that was used to create this plan.

    A handle to the SQL Context that was used to create this plan. Since many operators need access to the sqlContext for RDD operations or configuration this field is automatically populated by the query planning infrastructure.

    Definition Classes
    SparkPlan
  108. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  109. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  110. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  111. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  112. def supportsColumnar: Boolean

    Return true if this stage of the plan supports columnar execution.

    Return true if this stage of the plan supports columnar execution.

    Definition Classes
    SparkPlan
  113. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  114. def toJSON: String
    Definition Classes
    TreeNode
  115. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  116. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  117. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): CollectLimitExec.this.type
    Definition Classes
    QueryPlan
  118. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  119. def transformExpressions(rule: PartialFunction[Expression, Expression]): CollectLimitExec.this.type
    Definition Classes
    QueryPlan
  120. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): CollectLimitExec.this.type
    Definition Classes
    QueryPlan
  121. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): CollectLimitExec.this.type
    Definition Classes
    QueryPlan
  122. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  123. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  124. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  125. final def treeString: String
    Definition Classes
    TreeNode
  126. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  127. def vectorTypes: Option[Seq[String]]

    The exact java types of the columns that are output in columnar processing mode.

    The exact java types of the columns that are output in columnar processing mode. This is a performance optimization for code generation and is optional.

    Definition Classes
    SparkPlan
  128. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  129. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  130. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  131. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  132. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  133. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  134. def waitForSubqueries(): Unit

    Blocks the thread until all subqueries finish evaluation and update the results.

    Blocks the thread until all subqueries finish evaluation and update the results.

    Attributes
    protected
    Definition Classes
    SparkPlan
  135. def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode

Deprecated Value Members

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

    (Since version ) see corresponding Javadoc for more information.

Inherited from LimitExec

Inherited from UnaryExecNode

Inherited from SparkPlan

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from QueryPlan[SparkPlan]

Inherited from TreeNode[SparkPlan]

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped