Packages

c

org.apache.spark.sql.execution.streaming

StreamingLocalLimitExec

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

A physical operator for executing limits locally on each partition. The main difference from LocalLimitExec is that this will fully consume child plan's iterators to ensure that any stateful operation within child commits all the state changes (many stateful operations commit state changes only after the iterator is consumed).

Linear Supertypes
LimitExec, UnaryExecNode, SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], TreeNode[SparkPlan], Product, Equals, AnyRef, Any
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Inherited
  1. StreamingLocalLimitExec
  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 StreamingLocalLimitExec(limit: Int, child: SparkPlan)

Value Members

  1. lazy val allAttributes: AttributeSeq
    Definition Classes
    QueryPlan
  2. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  3. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  4. def asCode: String
    Definition Classes
    TreeNode
  5. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  6. val child: SparkPlan
    Definition Classes
    StreamingLocalLimitExec → UnaryExecNode
  7. final def children: Seq[SparkPlan]
    Definition Classes
    UnaryExecNode → TreeNode
  8. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  9. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  10. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  11. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  12. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  13. def conf: SQLConf
    Definition Classes
    QueryPlan
  14. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  15. 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.

    Definition Classes
    StreamingLocalLimitExec → SparkPlan
  16. 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
  17. 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
  18. def executeCollect(): Array[InternalRow]

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

    Definition Classes
    SparkPlan
  19. 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
  20. 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
  21. def executeTail(n: Int): Array[InternalRow]

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

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

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

    Definition Classes
    SparkPlan
  22. 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
  23. 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).

  24. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  25. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  26. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  27. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  28. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  29. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  30. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean): Unit
    Definition Classes
    TreeNode
  31. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  32. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  33. val id: Int
    Definition Classes
    SparkPlan
  34. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  35. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  36. val limit: Int

    Number of element should be taken from child operator

    Number of element should be taken from child operator

    Definition Classes
    StreamingLocalLimitExec → LimitExec
  37. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  39. 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
  40. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  41. def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    TreeNode
  42. def mapExpressions(f: (Expression) ⇒ Expression): StreamingLocalLimitExec.this.type
    Definition Classes
    QueryPlan
  43. def metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    SparkPlan
  44. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  45. def nodeName: String
    Definition Classes
    TreeNode
  46. def numberedTreeString: String
    Definition Classes
    TreeNode
  47. val origin: Origin
    Definition Classes
    TreeNode
  48. def output: Seq[Attribute]
    Definition Classes
    StreamingLocalLimitExec → QueryPlan
  49. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    StreamingLocalLimitExec → SparkPlan
  50. 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
    StreamingLocalLimitExec → SparkPlan
  51. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  52. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  53. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  54. def prettyJson: String
    Definition Classes
    TreeNode
  55. def printSchema(): Unit
    Definition Classes
    QueryPlan
  56. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  57. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  58. 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
  59. 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
  60. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  61. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  62. lazy val schema: StructType
    Definition Classes
    QueryPlan
  63. def schemaString: String
    Definition Classes
    QueryPlan
  64. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  65. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  66. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  67. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  68. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  69. 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
  70. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  71. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  72. 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
  73. def toJSON: String
    Definition Classes
    TreeNode
  74. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  75. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  76. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): StreamingLocalLimitExec.this.type
    Definition Classes
    QueryPlan
  77. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  78. def transformExpressions(rule: PartialFunction[Expression, Expression]): StreamingLocalLimitExec.this.type
    Definition Classes
    QueryPlan
  79. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): StreamingLocalLimitExec.this.type
    Definition Classes
    QueryPlan
  80. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): StreamingLocalLimitExec.this.type
    Definition Classes
    QueryPlan
  81. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  82. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  83. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  84. final def treeString: String
    Definition Classes
    TreeNode
  85. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  86. 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
  87. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  88. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  89. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  90. def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode