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org.apache.spark.sql.execution.streaming

StreamingSymmetricHashJoinExec

case class StreamingSymmetricHashJoinExec(leftKeys: Seq[Expression], rightKeys: Seq[Expression], joinType: JoinType, condition: JoinConditionSplitPredicates, stateInfo: Option[StatefulOperatorStateInfo], eventTimeWatermark: Option[Long], stateWatermarkPredicates: JoinStateWatermarkPredicates, stateFormatVersion: Int, left: SparkPlan, right: SparkPlan) extends SparkPlan with BinaryExecNode with StateStoreWriter with Product with Serializable

Performs stream-stream join using symmetric hash join algorithm. It works as follows.

/-----------------------\ left side input --------->| left side state |------\ \-----------------------/ | |--------> joined output /-----------------------\ | right side input -------->| right side state |------/ \-----------------------/

Each join side buffers past input rows as streaming state so that the past input can be joined with future input on the other side. This buffer state is effectively a multi-map: equi-join key -> list of past input rows received with the join key

For each input row in each side, the following operations take place. - Calculate join key from the row. - Use the join key to append the row to the buffer state of the side that the row came from. - Find past buffered values for the key from the other side. For each such value, emit the "joined row" (left-row, right-row) - Apply the optional condition to filter the joined rows as the final output.

If a timestamp column with event time watermark is present in the join keys or in the input data, then it uses the watermark to figure out which rows in the buffer will not join with the new data, and therefore can be discarded. Depending on the provided query conditions, we can define thresholds on both state key (i.e. joining keys) and state value (i.e. input rows). There are three kinds of queries possible regarding this as explained below. Assume that watermark has been defined on both leftTime and rightTime columns used below.

1. When timestamp/time-window + watermark is in the join keys. Example (pseudo-SQL):

SELECT * FROM leftTable, rightTable ON leftKey = rightKey AND window(leftTime, "1 hour") = window(rightTime, "1 hour") // 1hr tumbling windows

In this case, this operator will join rows newer than watermark which fall in the same 1 hour window. Say the event-time watermark is "12:34" (both left and right input). Then input rows can only have time > 12:34. Hence, they can only join with buffered rows where window >= 12:00 - 1:00 and all buffered rows with join window < 12:00 can be discarded. In other words, the operator will discard all state where window in state key (i.e. join key) < event time watermark. This threshold is called State Key Watermark.

2. When timestamp range conditions are provided (no time/window + watermark in join keys). E.g.

SELECT * FROM leftTable, rightTable ON leftKey = rightKey AND leftTime > rightTime - INTERVAL 8 MINUTES AND leftTime < rightTime + INTERVAL 1 HOUR

In this case, the event-time watermark and the BETWEEN condition can be used to calculate a state watermark, i.e., time threshold for the state rows that can be discarded. For example, say each join side has a time column, named "leftTime" and "rightTime", and there is a join condition "leftTime > rightTime - 8 min". While processing, say the watermark on right input is "12:34". This means that from henceforth, only right inputs rows with "rightTime > 12:34" will be processed, and any older rows will be considered as "too late" and therefore dropped. Then, the left side buffer only needs to keep rows where "leftTime > rightTime - 8 min > 12:34 - 8m > 12:26". That is, the left state watermark is 12:26, and any rows older than that can be dropped from the state. In other words, the operator will discard all state where timestamp in state value (input rows) < state watermark. This threshold is called State Value Watermark (to distinguish from the state key watermark).

Note:

  • The event watermark value of one side is used to calculate the state watermark of the other side. That is, a condition ~ "leftTime > rightTime + X" with right side event watermark is used to calculate the left side state watermark. Conversely, a condition ~ "left < rightTime + Y" with left side event watermark is used to calculate right side state watermark.
  • Depending on the conditions, the state watermark maybe different for the left and right side. In the above example, leftTime > 12:26 AND rightTime > 12:34 - 1 hour = 11:34.
  • State can be dropped from BOTH sides only when there are conditions of the above forms that define time bounds on timestamp in both directions.

3. When both window in join key and time range conditions are present, case 1 + 2. In this case, since window equality is a stricter condition than the time range, we can use the State Key Watermark = event time watermark to discard state (similar to case 1).

leftKeys

Expression to generate key rows for joining from left input

rightKeys

Expression to generate key rows for joining from right input

joinType

Type of join (inner, left outer, etc.)

condition

Conditions to filter rows, split by left, right, and joined. See JoinConditionSplitPredicates

stateInfo

Version information required to read join state (buffered rows)

eventTimeWatermark

Watermark of input event, same for both sides

stateWatermarkPredicates

Predicates for removal of state, see JoinStateWatermarkPredicates

left

Left child plan

right

Right child plan

Linear Supertypes
StateStoreWriter, StatefulOperator, BinaryExecNode, SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], Product, Equals, AnyRef, Any
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Inherited
  1. StreamingSymmetricHashJoinExec
  2. StateStoreWriter
  3. StatefulOperator
  4. BinaryExecNode
  5. SparkPlan
  6. Serializable
  7. Serializable
  8. Logging
  9. QueryPlan
  10. SQLConfHelper
  11. TreeNode
  12. Product
  13. Equals
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new StreamingSymmetricHashJoinExec(leftKeys: Seq[Expression], rightKeys: Seq[Expression], joinType: JoinType, condition: Option[Expression], stateFormatVersion: Int, left: SparkPlan, right: SparkPlan)
  2. new StreamingSymmetricHashJoinExec(leftKeys: Seq[Expression], rightKeys: Seq[Expression], joinType: JoinType, condition: JoinConditionSplitPredicates, stateInfo: Option[StatefulOperatorStateInfo], eventTimeWatermark: Option[Long], stateWatermarkPredicates: JoinStateWatermarkPredicates, stateFormatVersion: Int, left: SparkPlan, right: SparkPlan)

    leftKeys

    Expression to generate key rows for joining from left input

    rightKeys

    Expression to generate key rows for joining from right input

    joinType

    Type of join (inner, left outer, etc.)

    condition

    Conditions to filter rows, split by left, right, and joined. See JoinConditionSplitPredicates

    stateInfo

    Version information required to read join state (buffered rows)

    eventTimeWatermark

    Watermark of input event, same for both sides

    stateWatermarkPredicates

    Predicates for removal of state, see JoinStateWatermarkPredicates

    left

    Left child plan

    right

    Right child plan

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 applyRemovingRowsOlderThanWatermark(iter: Iterator[InternalRow], predicateDropRowByWatermark: BasePredicate): Iterator[InternalRow]
    Attributes
    protected
    Definition Classes
    StateStoreWriter
  7. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  8. def asCode: String
    Definition Classes
    TreeNode
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  11. final def children: Seq[SparkPlan]
    Definition Classes
    BinaryExecNode → TreeNode
  12. def cleanupResources(): Unit

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

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

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  13. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  14. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  15. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  16. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  17. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  18. val condition: JoinConditionSplitPredicates
  19. def conf: SQLConf
    Definition Classes
    SQLConfHelper
  20. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  21. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  22. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  23. 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
    StreamingSymmetricHashJoinExec → SparkPlan
  24. 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
  25. 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
  26. 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.

  27. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. val eventTimeWatermark: Option[Long]
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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).

  38. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  39. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  40. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  41. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  42. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  43. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  44. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  45. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  46. 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
  47. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  48. def getProgress(): StateOperatorProgress

    Get the progress made by this stateful operator after execution.

    Get the progress made by this stateful operator after execution. This should be called in the driver after this SparkPlan has been executed and metrics have been updated.

    Definition Classes
    StateStoreWriter
  49. def getStateInfo: StatefulOperatorStateInfo
    Attributes
    protected
    Definition Classes
    StatefulOperator
  50. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  51. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  52. val id: Int
    Definition Classes
    SparkPlan
  53. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  54. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  56. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  57. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  58. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  59. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  60. val joinType: JoinType
  61. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  62. val left: SparkPlan
    Definition Classes
    StreamingSymmetricHashJoinExec → BinaryExecNode
  63. val leftKeys: Seq[Expression]
  64. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  65. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  72. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  78. 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
  79. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  80. def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    TreeNode
  81. def mapExpressions(f: (Expression) ⇒ Expression): StreamingSymmetricHashJoinExec.this.type
    Definition Classes
    QueryPlan
  82. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  83. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    StateStoreWriter → SparkPlan
  84. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  85. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  86. def nodeName: String
    Definition Classes
    TreeNode
  87. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  88. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  89. val nullLeft: GenericInternalRow
  90. val nullRight: GenericInternalRow
  91. def numberedTreeString: String
    Definition Classes
    TreeNode
  92. val origin: Origin
    Definition Classes
    TreeNode
  93. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  94. def output: Seq[Attribute]
    Definition Classes
    StreamingSymmetricHashJoinExec → QueryPlan
  95. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    SparkPlan
  96. 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
    StreamingSymmetricHashJoinExec → SparkPlan
  97. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  98. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  99. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  100. 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
  101. def prettyJson: String
    Definition Classes
    TreeNode
  102. def printSchema(): Unit
    Definition Classes
    QueryPlan
  103. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  104. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  105. 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
    StreamingSymmetricHashJoinExec → SparkPlan
  106. 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
  107. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  108. val right: SparkPlan
    Definition Classes
    StreamingSymmetricHashJoinExec → BinaryExecNode
  109. val rightKeys: Seq[Expression]
  110. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  111. lazy val schema: StructType
    Definition Classes
    QueryPlan
  112. def schemaString: String
    Definition Classes
    QueryPlan
  113. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  114. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  115. def setStoreMetrics(store: StateStore): Unit

    Set the SQL metrics related to the state store.

    Set the SQL metrics related to the state store. This should be called in that task after the store has been updated.

    Attributes
    protected
    Definition Classes
    StateStoreWriter
  116. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  117. def shouldRunAnotherBatch(newMetadata: OffsetSeqMetadata): Boolean

    Should the MicroBatchExecution run another batch based on this stateful operator and the current updated metadata.

    Should the MicroBatchExecution run another batch based on this stateful operator and the current updated metadata.

    Definition Classes
    StreamingSymmetricHashJoinExec → StateStoreWriter
  118. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  119. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  120. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  121. 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
  122. val stateFormatVersion: Int
  123. val stateInfo: Option[StatefulOperatorStateInfo]
    Definition Classes
    StreamingSymmetricHashJoinExec → StatefulOperator
  124. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  125. val stateWatermarkPredicates: JoinStateWatermarkPredicates
  126. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  127. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  128. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  129. 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
  130. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  131. def timeTakenMs(body: ⇒ Unit): Long

    Records the duration of running body for the next query progress update.

    Records the duration of running body for the next query progress update.

    Attributes
    protected
    Definition Classes
    StateStoreWriter
  132. def toJSON: String
    Definition Classes
    TreeNode
  133. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  134. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  135. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): StreamingSymmetricHashJoinExec.this.type
    Definition Classes
    QueryPlan
  136. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  137. def transformExpressions(rule: PartialFunction[Expression, Expression]): StreamingSymmetricHashJoinExec.this.type
    Definition Classes
    QueryPlan
  138. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): StreamingSymmetricHashJoinExec.this.type
    Definition Classes
    QueryPlan
  139. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): StreamingSymmetricHashJoinExec.this.type
    Definition Classes
    QueryPlan
  140. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  141. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) ⇒ Boolean, canGetOutput: (SparkPlan) ⇒ Boolean): SparkPlan
    Definition Classes
    QueryPlan
  142. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  143. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  144. final def treeString: String
    Definition Classes
    TreeNode
  145. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  146. 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
  147. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  148. def verboseStringWithOperatorId(): String
    Definition Classes
    BinaryExecNode → QueryPlan
  149. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  150. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  151. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  152. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  153. 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
  154. def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode

Inherited from StateStoreWriter

Inherited from StatefulOperator

Inherited from BinaryExecNode

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 Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped