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c

org.apache.spark.sql.execution.joins

ShuffledHashJoinExec

case class ShuffledHashJoinExec(leftKeys: Seq[Expression], rightKeys: Seq[Expression], joinType: JoinType, buildSide: BuildSide, condition: Option[Expression], left: SparkPlan, right: SparkPlan, isSkewJoin: Boolean = false) extends SparkPlan with HashJoin with ShuffledJoin with Product with Serializable

Performs a hash join of two child relations by first shuffling the data using the join keys.

Linear Supertypes
ShuffledJoin, HashJoin, JoinCodegenSupport, BaseJoinExec, BinaryExecNode, BinaryLike[SparkPlan], CodegenSupport, SparkPlan, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], WithOrigin, TreePatternBits, Product, Equals, AnyRef, Any
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  2. By Inheritance
Inherited
  1. ShuffledHashJoinExec
  2. ShuffledJoin
  3. HashJoin
  4. JoinCodegenSupport
  5. BaseJoinExec
  6. BinaryExecNode
  7. BinaryLike
  8. CodegenSupport
  9. SparkPlan
  10. Serializable
  11. Logging
  12. QueryPlan
  13. SQLConfHelper
  14. TreeNode
  15. WithOrigin
  16. TreePatternBits
  17. Product
  18. Equals
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new ShuffledHashJoinExec(leftKeys: Seq[Expression], rightKeys: Seq[Expression], joinType: JoinType, buildSide: BuildSide, condition: Option[Expression], left: SparkPlan, right: SparkPlan, isSkewJoin: Boolean = false)

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. lazy val boundCondition: (InternalRow) => Boolean
    Attributes
    protected[this]
    Definition Classes
    HashJoin
    Annotations
    @transient()
  10. lazy val buildBoundKeys: Seq[Expression]
    Attributes
    protected
    Definition Classes
    HashJoin
    Annotations
    @transient()
  11. def buildHashedRelation(iter: Iterator[InternalRow]): HashedRelation

    This is called by generated Java class, should be public.

  12. lazy val buildKeys: Seq[Expression]
    Attributes
    protected
    Definition Classes
    HashJoin
  13. lazy val buildOutput: Seq[Attribute]
    Attributes
    protected
    Definition Classes
    HashJoin
    Annotations
    @transient()
  14. lazy val buildPlan: SparkPlan
    Attributes
    protected
    Definition Classes
    HashJoin
  15. val buildSide: BuildSide
    Definition Classes
    ShuffledHashJoinExec → HashJoin
  16. def buildSideKeyGenerator(): UnsafeProjection
    Attributes
    protected
    Definition Classes
    HashJoin
  17. def canCheckLimitNotReached: Boolean

    Check if the node is supposed to produce limit not reached checks.

    Check if the node is supposed to produce limit not reached checks.

    Attributes
    protected
    Definition Classes
    CodegenSupport
  18. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  19. final lazy val children: Seq[SparkPlan]
    Definition Classes
    BinaryLike
    Annotations
    @transient()
  20. 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
  21. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  22. def codegenAnti(ctx: CodegenContext, input: Seq[ExprCode]): String

    Generates the code for anti join.

    Generates the code for anti join.

    Attributes
    protected
    Definition Classes
    HashJoin
  23. def codegenExistence(ctx: CodegenContext, input: Seq[ExprCode]): String

    Generates the code for existence join.

    Generates the code for existence join.

    Attributes
    protected
    Definition Classes
    HashJoin
  24. def codegenInner(ctx: CodegenContext, input: Seq[ExprCode]): String

    Generates the code for Inner join.

    Generates the code for Inner join.

    Attributes
    protected
    Definition Classes
    HashJoin
  25. def codegenOuter(ctx: CodegenContext, input: Seq[ExprCode]): String

    Generates the code for left or right outer join.

    Generates the code for left or right outer join.

    Attributes
    protected
    Definition Classes
    HashJoin
  26. def codegenSemi(ctx: CodegenContext, input: Seq[ExprCode]): String

    Generates the code for left semi join.

    Generates the code for left semi join.

    Attributes
    protected
    Definition Classes
    HashJoin
  27. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  28. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  29. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  30. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  31. val condition: Option[Expression]
    Definition Classes
    ShuffledHashJoinExec → BaseJoinExec
  32. def conf: SQLConf
    Definition Classes
    SparkPlan → SQLConfHelper
  33. final def consume(ctx: CodegenContext, outputVars: Seq[ExprCode], row: String = null): String

    Consume the generated columns or row from current SparkPlan, call its parent's doConsume().

    Consume the generated columns or row from current SparkPlan, call its parent's doConsume().

    Note that outputVars and row can't both be null.

    Definition Classes
    CodegenSupport
  34. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  35. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  36. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  37. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  38. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  39. def createResultProjection(): (InternalRow) => InternalRow
    Attributes
    protected
    Definition Classes
    HashJoin
  40. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  41. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  42. def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row: ExprCode): String

    Generate the Java source code to process the rows from child SparkPlan.

    Generate the Java source code to process the rows from child SparkPlan. This should only be called from consume.

    This should be override by subclass to support codegen.

    Note: The operator should not assume the existence of an outer processing loop, which it can jump from with "continue;"!

    For example, filter could generate this: # code to evaluate the predicate expression, result is isNull1 and value2 if (!isNull1 && value2) { # call consume(), which will call parent.doConsume() }

    Note: A plan can either consume the rows as UnsafeRow (row), or a list of variables (input). When consuming as a listing of variables, the code to produce the input is already generated and CodegenContext.currentVars is already set. When consuming as UnsafeRow, implementations need to put row.code in the generated code and set CodegenContext.INPUT_ROW manually. Some plans may need more tweaks as they have different inputs(join build side, aggregate buffer, etc.), or other special cases.

    Definition Classes
    HashJoin → CodegenSupport
  43. 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
    ShuffledHashJoinExec → SparkPlan
  44. 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
  45. 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
  46. def doExecuteWrite(writeFilesSpec: WriteFilesSpec): RDD[WriterCommitMessage]

    Produces the result of the writes as an RDD[WriterCommitMessage]

    Produces the result of the writes as an RDD[WriterCommitMessage]

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected
    Definition Classes
    SparkPlan
  47. 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.

  48. def doProduce(ctx: CodegenContext): String

    Generate the Java source code to process, should be overridden by subclass to support codegen.

    Generate the Java source code to process, should be overridden by subclass to support codegen.

    doProduce() usually generate the framework, for example, aggregation could generate this:

    if (!initialized) { # create a hash map, then build the aggregation hash map # call child.produce() initialized = true; } while (hashmap.hasNext()) { row = hashmap.next(); # build the aggregation results # create variables for results # call consume(), which will call parent.doConsume() if (shouldStop()) return; }

    Definition Classes
    ShuffledHashJoinExec → HashJoin → CodegenSupport
  49. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  50. def evaluateNondeterministicVariables(attributes: Seq[Attribute], variables: Seq[ExprCode], expressions: Seq[NamedExpression]): String

    Returns source code to evaluate the variables for non-deterministic expressions, and clear the code of evaluated variables, to prevent them to be evaluated twice.

    Returns source code to evaluate the variables for non-deterministic expressions, and clear the code of evaluated variables, to prevent them to be evaluated twice.

    Attributes
    protected
    Definition Classes
    CodegenSupport
  51. def evaluateRequiredVariables(attributes: Seq[Attribute], variables: Seq[ExprCode], required: AttributeSet): String

    Returns source code to evaluate the variables for required attributes, and clear the code of evaluated variables, to prevent them to be evaluated twice.

    Returns source code to evaluate the variables for required attributes, and clear the code of evaluated variables, to prevent them to be evaluated twice.

    Attributes
    protected
    Definition Classes
    CodegenSupport
  52. def evaluateVariables(variables: Seq[ExprCode]): String

    Returns source code to evaluate all the variables, and clear the code of them, to prevent them to be evaluated twice.

    Returns source code to evaluate all the variables, and clear the code of them, to prevent them to be evaluated twice.

    Attributes
    protected
    Definition Classes
    CodegenSupport
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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).

  62. 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
  63. def exists(f: (SparkPlan) => Boolean): Boolean
    Definition Classes
    TreeNode
  64. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  65. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  66. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  67. def find(f: (SparkPlan) => Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  68. def flatMap[A](f: (SparkPlan) => TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  69. def foreach(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  70. def foreachUp(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  71. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  72. def genOneSideJoinVars(ctx: CodegenContext, row: String, plan: SparkPlan, setDefaultValue: Boolean): Seq[ExprCode]

    Generates the code for variables of one child side of join.

    Generates the code for variables of one child side of join.

    Attributes
    protected
    Definition Classes
    JoinCodegenSupport
  73. def genStreamSideJoinKey(ctx: CodegenContext, input: Seq[ExprCode]): (ExprCode, String)

    Returns the code for generating join key for stream side, and expression of whether the key has any null in it or not.

    Returns the code for generating join key for stream side, and expression of whether the key has any null in it or not.

    Attributes
    protected
    Definition Classes
    HashJoin
  74. def generateTreeString(depth: Int, lastChildren: ArrayList[Boolean], append: (String) => Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  75. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  76. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  77. def getJoinCondition(ctx: CodegenContext, streamVars: Seq[ExprCode], streamPlan: SparkPlan, buildPlan: SparkPlan, buildRow: Option[String] = None): (String, String, Seq[ExprCode])

    Generate the (non-equi) condition used to filter joined rows.

    Generate the (non-equi) condition used to filter joined rows. This is used in Inner, Left Semi, Left Anti and Full Outer joins.

    returns

    Tuple of variable name for row of build side, generated code for condition, and generated code for variables of build side.

    Attributes
    protected
    Definition Classes
    JoinCodegenSupport
  78. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  79. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  80. val id: Int
    Definition Classes
    SparkPlan
  81. lazy val ignoreDuplicatedKey: Boolean
    Annotations
    @transient()
  82. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  83. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  85. def inputRDDs(): Seq[RDD[InternalRow]]

    Returns all the RDDs of InternalRow which generates the input rows.

    Returns all the RDDs of InternalRow which generates the input rows.

    Definition Classes
    ShuffledHashJoinExec → CodegenSupport
    Note

    Right now we support up to two RDDs

  86. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  87. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  88. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  89. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  90. val isSkewJoin: Boolean
    Definition Classes
    ShuffledHashJoinExec → ShuffledJoin
  91. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  92. def join(streamedIter: Iterator[InternalRow], hashed: HashedRelation, numOutputRows: SQLMetric): Iterator[InternalRow]
    Attributes
    protected
    Definition Classes
    HashJoin
  93. val joinType: JoinType
    Definition Classes
    ShuffledHashJoinExec → BaseJoinExec
  94. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  95. val left: SparkPlan
    Definition Classes
    ShuffledHashJoinExec → BinaryLike
  96. val leftKeys: Seq[Expression]
    Definition Classes
    ShuffledHashJoinExec → BaseJoinExec
  97. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  98. def limitNotReachedChecks: Seq[String]

    A sequence of checks which evaluate to true if the downstream Limit operators have not received enough records and reached the limit.

    A sequence of checks which evaluate to true if the downstream Limit operators have not received enough records and reached the limit. If current node is a data producing node, it can leverage this information to stop producing data and complete the data flow earlier. Common data producing nodes are leaf nodes like Range and Scan, and blocking nodes like Sort and Aggregate. These checks should be put into the loop condition of the data producing loop.

    Definition Classes
    CodegenSupport
  99. final def limitNotReachedCond: String

    A helper method to generate the data producing loop condition according to the limit-not-reached checks.

    A helper method to generate the data producing loop condition according to the limit-not-reached checks.

    Definition Classes
    CodegenSupport
  100. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  101. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  102. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  103. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  104. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  105. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  106. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  107. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  108. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  109. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  110. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  111. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  112. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  114. 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
  115. def map[A](f: (SparkPlan) => A): Seq[A]
    Definition Classes
    TreeNode
  116. final def mapChildren(f: (SparkPlan) => SparkPlan): SparkPlan
    Definition Classes
    BinaryLike
  117. def mapExpressions(f: (Expression) => Expression): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  118. def mapProductIterator[B](f: (Any) => B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  119. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  120. def metricTerm(ctx: CodegenContext, name: String): String

    Creates a metric using the specified name.

    Creates a metric using the specified name.

    returns

    name of the variable representing the metric

    Definition Classes
    CodegenSupport
  121. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    ShuffledHashJoinExec → SparkPlan
  122. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  123. def multiTransformDown(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  124. def multiTransformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  125. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  126. def needCopyResult: Boolean

    Whether or not the result rows of this operator should be copied before putting into a buffer.

    Whether or not the result rows of this operator should be copied before putting into a buffer.

    If any operator inside WholeStageCodegen generate multiple rows from a single row (for example, Join), this should be true.

    If an operator starts a new pipeline, this should be false.

    Definition Classes
    ShuffledHashJoinExec → CodegenSupport
  127. def needStopCheck: Boolean

    Whether or not the children of this operator should generate a stop check when consuming input rows.

    Whether or not the children of this operator should generate a stop check when consuming input rows. This is used to suppress shouldStop() in a loop of WholeStageCodegen.

    This should be false if an operator starts a new pipeline, which means it consumes all rows produced by children but doesn't output row to buffer by calling append(), so the children don't require shouldStop() in the loop of producing rows.

    Definition Classes
    CodegenSupport
  128. def nodeName: String
    Definition Classes
    ShuffledJoin → TreeNode
  129. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  130. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  131. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  132. def numberedTreeString: String
    Definition Classes
    TreeNode
  133. val origin: Origin
    Definition Classes
    TreeNode → WithOrigin
  134. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  135. def output: Seq[Attribute]
    Definition Classes
    ShuffledHashJoinExec → ShuffledJoin → HashJoin → QueryPlan
  136. def outputOrdering: Seq[SortOrder]
    Definition Classes
    ShuffledHashJoinExec → HashJoin → QueryPlan
  137. 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
    ShuffledHashJoinExec → ShuffledJoin → HashJoin → SparkPlan
  138. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  139. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  140. val parent: CodegenSupport

    Which SparkPlan is calling produce() of this one.

    Which SparkPlan is calling produce() of this one. It's itself for the first SparkPlan.

    Attributes
    protected
    Definition Classes
    CodegenSupport
  141. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  142. def prepareRelation(ctx: CodegenContext): HashedRelationInfo
    Attributes
    protected
    Definition Classes
    ShuffledHashJoinExec → HashJoin
  143. 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
  144. def prettyJson: String
    Definition Classes
    TreeNode
  145. def printSchema(): Unit
    Definition Classes
    QueryPlan
  146. final def produce(ctx: CodegenContext, parent: CodegenSupport): String

    Returns Java source code to process the rows from input RDD.

    Returns Java source code to process the rows from input RDD.

    Definition Classes
    CodegenSupport
  147. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  148. def productElementNames: Iterator[String]
    Definition Classes
    Product
  149. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  150. 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
    ShuffledJoin → SparkPlan
  151. 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
  152. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  153. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  154. val right: SparkPlan
    Definition Classes
    ShuffledHashJoinExec → BinaryLike
  155. val rightKeys: Seq[Expression]
    Definition Classes
    ShuffledHashJoinExec → BaseJoinExec
  156. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  157. lazy val schema: StructType
    Definition Classes
    QueryPlan
  158. def schemaString: String
    Definition Classes
    QueryPlan
  159. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  160. final val session: SparkSession
    Definition Classes
    SparkPlan
  161. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  162. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  163. def shouldStopCheckCode: String

    Helper default should stop check code.

    Helper default should stop check code.

    Definition Classes
    CodegenSupport
  164. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  165. def simpleStringWithNodeId(): String
    Definition Classes
    HashJoin → BaseJoinExec → QueryPlan → TreeNode
  166. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  167. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  168. def streamSideKeyGenerator(): UnsafeProjection
    Attributes
    protected
    Definition Classes
    HashJoin
  169. lazy val streamedBoundKeys: Seq[Expression]
    Attributes
    protected
    Definition Classes
    HashJoin
    Annotations
    @transient()
  170. lazy val streamedKeys: Seq[Expression]
    Attributes
    protected
    Definition Classes
    HashJoin
  171. lazy val streamedOutput: Seq[Attribute]
    Attributes
    protected
    Definition Classes
    HashJoin
    Annotations
    @transient()
  172. lazy val streamedPlan: SparkPlan
    Attributes
    protected
    Definition Classes
    HashJoin
  173. def stringArgs: Iterator[Any]
    Definition Classes
    ShuffledJoin → TreeNode
  174. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  175. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  176. def supportCodegen: Boolean

    Whether this SparkPlan supports whole stage codegen or not.

    Whether this SparkPlan supports whole stage codegen or not.

    Definition Classes
    ShuffledHashJoinExec → CodegenSupport
  177. 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
  178. 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
  179. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  180. def toJSON: String
    Definition Classes
    TreeNode
  181. 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
  182. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  183. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  184. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  185. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  186. def transformAllExpressionsWithSubqueries(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  187. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  188. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  189. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  190. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  191. def transformExpressions(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  192. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  193. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  194. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  195. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  196. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): ShuffledHashJoinExec.this.type
    Definition Classes
    QueryPlan
  197. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  198. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  199. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  200. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  201. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  202. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  203. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  204. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  205. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  206. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  207. final def treeString: String
    Definition Classes
    TreeNode
  208. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  209. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  210. def usedInputs: AttributeSet

    The subset of inputSet those should be evaluated before this plan.

    The subset of inputSet those should be evaluated before this plan.

    We will use this to insert some code to access those columns that are actually used by current plan before calling doConsume().

    Definition Classes
    CodegenSupport
  211. 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
  212. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  213. def verboseStringWithOperatorId(): String
    Definition Classes
    BaseJoinExec → BinaryExecNode → QueryPlan
  214. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  215. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  216. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  217. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  218. 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
  219. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  220. def withNewChildrenInternal(newLeft: SparkPlan, newRight: SparkPlan): ShuffledHashJoinExec
    Attributes
    protected
    Definition Classes
    ShuffledHashJoinExec → BinaryLike
  221. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    BinaryLike

Inherited from ShuffledJoin

Inherited from HashJoin

Inherited from JoinCodegenSupport

Inherited from BaseJoinExec

Inherited from BinaryExecNode

Inherited from BinaryLike[SparkPlan]

Inherited from CodegenSupport

Inherited from SparkPlan

Inherited from Serializable

Inherited from Logging

Inherited from QueryPlan[SparkPlan]

Inherited from SQLConfHelper

Inherited from TreeNode[SparkPlan]

Inherited from WithOrigin

Inherited from TreePatternBits

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped