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org.apache.spark.sql.execution

MapPartitionsInRWithArrowExec

case class MapPartitionsInRWithArrowExec(func: Array[Byte], packageNames: Array[Byte], broadcastVars: Array[Broadcast[AnyRef]], inputSchema: StructType, output: Seq[Attribute], child: SparkPlan) extends SparkPlan with UnaryExecNode with Product with Serializable

Similar with MapPartitionsExec and org.apache.spark.sql.execution.r.MapPartitionsRWrapper but serializes and deserializes input/output in Arrow format.

This is somewhat similar with org.apache.spark.sql.execution.python.ArrowEvalPythonExec

Linear Supertypes
UnaryExecNode, UnaryLike[SparkPlan], SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], TreePatternBits, Product, Equals, AnyRef, Any
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  2. By Inheritance
Inherited
  1. MapPartitionsInRWithArrowExec
  2. UnaryExecNode
  3. UnaryLike
  4. SparkPlan
  5. Serializable
  6. Serializable
  7. Logging
  8. QueryPlan
  9. SQLConfHelper
  10. TreeNode
  11. TreePatternBits
  12. Product
  13. Equals
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MapPartitionsInRWithArrowExec(func: Array[Byte], packageNames: Array[Byte], broadcastVars: Array[Broadcast[AnyRef]], inputSchema: StructType, output: Seq[Attribute], 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. val broadcastVars: Array[Broadcast[AnyRef]]
  10. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  11. val child: SparkPlan
    Definition Classes
    MapPartitionsInRWithArrowExec → UnaryLike
  12. final lazy val children: Seq[SparkPlan]
    Definition Classes
    UnaryLike
    Annotations
    @transient()
  13. 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
  14. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  15. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  16. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  17. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  18. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  19. def conf: SQLConf
    Definition Classes
    SparkPlan → SQLConfHelper
  20. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  21. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  22. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  23. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  24. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  25. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  26. 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
    MapPartitionsInRWithArrowExec → SparkPlan
  27. 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
  28. 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
  29. 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.

  30. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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).

  40. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  41. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  42. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  43. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  44. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  45. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  46. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  47. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  48. val func: Array[Byte]
  49. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  50. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  51. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  52. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  53. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  54. val id: Int
    Definition Classes
    SparkPlan
  55. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  56. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  58. val inputSchema: StructType
  59. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  60. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  61. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  62. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  63. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  65. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  66. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  67. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  74. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  80. 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
  81. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  82. final def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    UnaryLike
  83. def mapExpressions(f: (Expression) ⇒ Expression): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  84. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  85. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  86. def metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    SparkPlan
  87. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  88. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  89. def nodeName: String
    Definition Classes
    TreeNode
  90. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  91. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  92. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  93. def numberedTreeString: String
    Definition Classes
    TreeNode
  94. val origin: Origin
    Definition Classes
    TreeNode
  95. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  96. val output: Seq[Attribute]
    Definition Classes
    MapPartitionsInRWithArrowExec → QueryPlan
  97. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    SparkPlan
  98. 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. Note this method may fail if it is invoked before EnsureRequirements is applied since PartitioningCollection requires all its partitionings to have the same number of partitions.

    Definition Classes
    MapPartitionsInRWithArrowExec → SparkPlan
  99. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  100. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  101. val packageNames: Array[Byte]
  102. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  103. 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
  104. def prettyJson: String
    Definition Classes
    TreeNode
  105. def printSchema(): Unit
    Definition Classes
    QueryPlan
  106. def producedAttributes: AttributeSet
    Definition Classes
    MapPartitionsInRWithArrowExec → QueryPlan
  107. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  108. 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
  109. 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
  110. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  111. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  112. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  113. lazy val schema: StructType
    Definition Classes
    QueryPlan
  114. def schemaString: String
    Definition Classes
    QueryPlan
  115. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  116. final val session: SparkSession
    Definition Classes
    SparkPlan
  117. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  118. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  119. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  120. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  121. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  122. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  123. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  124. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  125. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  126. 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
  127. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  128. def toJSON: String
    Definition Classes
    TreeNode
  129. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  130. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  131. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  132. def transformAllExpressionsWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  133. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  134. def transformDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  135. def transformExpressions(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  136. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  137. def transformExpressionsDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  138. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  139. def transformExpressionsUpWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  140. def transformExpressionsWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): MapPartitionsInRWithArrowExec.this.type
    Definition Classes
    QueryPlan
  141. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  142. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  143. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) ⇒ Boolean, canGetOutput: (SparkPlan) ⇒ Boolean): SparkPlan
    Definition Classes
    QueryPlan
  144. def transformUpWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  145. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  146. def transformWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  147. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  148. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  149. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  150. final def treeString: String
    Definition Classes
    TreeNode
  151. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  152. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  153. 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
  154. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  155. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  156. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  157. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  158. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  159. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  160. 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
  161. def withNewChildInternal(newChild: SparkPlan): MapPartitionsInRWithArrowExec
    Attributes
    protected
    Definition Classes
    MapPartitionsInRWithArrowExec → UnaryLike
  162. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  163. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    UnaryLike

Inherited from UnaryExecNode

Inherited from UnaryLike[SparkPlan]

Inherited from SparkPlan

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from QueryPlan[SparkPlan]

Inherited from SQLConfHelper

Inherited from TreeNode[SparkPlan]

Inherited from TreePatternBits

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped