Packages

case class SubqueryBroadcastExec(name: String, index: Int, buildKeys: Seq[Expression], child: SparkPlan) extends BaseSubqueryExec with UnaryExecNode with Product with Serializable

Physical plan for a custom subquery that collects and transforms the broadcast key values. This subquery retrieves the partition key from the broadcast results based on the type of HashedRelation returned. If the key is packed inside a Long, we extract it through bitwise operations, otherwise we return it from the appropriate index of the UnsafeRow.

index

the index of the join key in the list of keys from the build side

buildKeys

the join keys from the build side of the join used

child

the BroadcastExchange or the AdaptiveSparkPlan with BroadcastQueryStageExec from the build side of the join

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

Instance Constructors

  1. new SubqueryBroadcastExec(name: String, index: Int, buildKeys: Seq[Expression], child: SparkPlan)

    index

    the index of the join key in the list of keys from the build side

    buildKeys

    the join keys from the build side of the join used

    child

    the BroadcastExchange or the AdaptiveSparkPlan with BroadcastQueryStageExec from the build side of the join

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. val buildKeys: Seq[Expression]
  6. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  7. val child: SparkPlan
    Definition Classes
    SubqueryBroadcastExec → UnaryLike → BaseSubqueryExec
  8. final lazy val children: Seq[SparkPlan]
    Definition Classes
    UnaryLike
    Annotations
    @transient()
  9. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  10. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  11. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  12. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  13. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  14. def conf: SQLConf
    Definition Classes
    SparkPlan → SQLConfHelper
  15. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  16. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  17. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  18. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  19. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  20. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  21. def doCanonicalize(): SparkPlan
    Definition Classes
    SubqueryBroadcastExec → QueryPlan
  22. 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
  23. 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
  24. def executeCollect(): Array[InternalRow]

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

    Definition Classes
    SubqueryBroadcastExec → SparkPlan
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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).

  30. def executeWrite(writeFilesSpec: WriteFilesSpec): RDD[WriterCommitMessage]

    Returns the result of writes as an RDD[WriterCommitMessage] variable by delegating to doExecuteWrite after preparations.

    Returns the result of writes as an RDD[WriterCommitMessage] variable by delegating to doExecuteWrite after preparations.

    Concrete implementations of SparkPlan should override doExecuteWrite.

    Definition Classes
    SparkPlan
  31. def exists(f: (SparkPlan) => Boolean): Boolean
    Definition Classes
    TreeNode
  32. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  33. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  34. def find(f: (SparkPlan) => Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  35. def flatMap[A](f: (SparkPlan) => TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  36. def foreach(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  37. def foreachUp(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  38. def generateTreeString(depth: Int, lastChildren: ArrayList[Boolean], append: (String) => Unit, verbose: Boolean, prefix: String = "", addSuffix: Boolean = false, maxFields: Int, printNodeId: Boolean, indent: Int = 0): Unit
    Definition Classes
    BaseSubqueryExec → TreeNode
  39. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  40. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  41. val id: Int
    Definition Classes
    SparkPlan
  42. val index: Int
  43. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  44. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  45. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  47. 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
  48. def map[A](f: (SparkPlan) => A): Seq[A]
    Definition Classes
    TreeNode
  49. final def mapChildren(f: (SparkPlan) => SparkPlan): SparkPlan
    Definition Classes
    UnaryLike
  50. def mapExpressions(f: (Expression) => Expression): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  51. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    SubqueryBroadcastExec → SparkPlan
  52. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  53. def multiTransformDown(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  54. def multiTransformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  55. val name: String
    Definition Classes
    SubqueryBroadcastExec → BaseSubqueryExec
  56. def nodeName: String
    Definition Classes
    TreeNode
  57. def numberedTreeString: String
    Definition Classes
    TreeNode
  58. val origin: Origin
    Definition Classes
    TreeNode → WithOrigin
  59. def output: Seq[Attribute]
    Definition Classes
    SubqueryBroadcastExec → BaseSubqueryExec → QueryPlan
  60. def outputOrdering: Seq[SortOrder]
    Definition Classes
    BaseSubqueryExec → QueryPlan
  61. 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
    BaseSubqueryExec → SparkPlan
  62. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  63. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  64. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  65. def prettyJson: String
    Definition Classes
    TreeNode
  66. def printSchema(): Unit
    Definition Classes
    QueryPlan
  67. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  68. def productElementNames: Iterator[String]
    Definition Classes
    Product
  69. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  70. 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
  71. 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
  72. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  73. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  74. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  75. lazy val schema: StructType
    Definition Classes
    QueryPlan
  76. def schemaString: String
    Definition Classes
    QueryPlan
  77. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  78. final val session: SparkSession
    Definition Classes
    SparkPlan
  79. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  80. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  81. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  82. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  83. def stringArgs: Iterator[Any]
    Definition Classes
    SubqueryBroadcastExec → TreeNode
  84. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  85. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  86. 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. A plan can also support row-based execution (see supportsRowBased). Spark will decide which execution to be called during query planning.

    Definition Classes
    SparkPlan
  87. def supportsRowBased: Boolean

    Return true if this stage of the plan supports row-based execution.

    Return true if this stage of the plan supports row-based execution. A plan can also support columnar execution (see supportsColumnar). Spark will decide which execution to be called during query planning.

    Definition Classes
    SparkPlan
  88. def toJSON: String
    Definition Classes
    TreeNode
  89. def toRowBased: SparkPlan

    Converts the output of this plan to row-based if it is columnar plan.

    Converts the output of this plan to row-based if it is columnar plan.

    Definition Classes
    SparkPlan
  90. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  91. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  92. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  93. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  94. def transformAllExpressionsWithSubqueries(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  95. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  96. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  97. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  98. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  99. def transformExpressions(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  100. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  101. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  102. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  103. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  104. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SubqueryBroadcastExec.this.type
    Definition Classes
    QueryPlan
  105. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  106. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  107. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  108. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  109. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  110. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  111. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  112. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  113. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  114. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  115. final def treeString: String
    Definition Classes
    TreeNode
  116. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  117. 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
  118. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  119. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  120. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  121. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  122. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    UnaryLike