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org.apache.spark.sql.execution.streaming

FlatMapGroupsWithStateExec

case class FlatMapGroupsWithStateExec(func: (Any, Iterator[Any], LogicalGroupState[Any]) ⇒ Iterator[Any], keyDeserializer: Expression, valueDeserializer: Expression, groupingAttributes: Seq[Attribute], dataAttributes: Seq[Attribute], outputObjAttr: Attribute, stateInfo: Option[StatefulOperatorStateInfo], stateEncoder: ExpressionEncoder[Any], stateFormatVersion: Int, outputMode: OutputMode, timeoutConf: GroupStateTimeout, batchTimestampMs: Option[Long], eventTimeWatermark: Option[Long], child: SparkPlan) extends SparkPlan with UnaryExecNode with ObjectProducerExec with StateStoreWriter with WatermarkSupport with Product with Serializable

Physical operator for executing FlatMapGroupsWithState

func

function called on each group

keyDeserializer

used to extract the key object for each group.

valueDeserializer

used to extract the items in the iterator from an input row.

groupingAttributes

used to group the data

dataAttributes

used to read the data

outputObjAttr

Defines the output object

stateEncoder

used to serialize/deserialize state before calling func

outputMode

the output mode of func

timeoutConf

used to timeout groups that have not received data in a while

batchTimestampMs

processing timestamp of the current batch.

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

Instance Constructors

  1. new FlatMapGroupsWithStateExec(func: (Any, Iterator[Any], LogicalGroupState[Any]) ⇒ Iterator[Any], keyDeserializer: Expression, valueDeserializer: Expression, groupingAttributes: Seq[Attribute], dataAttributes: Seq[Attribute], outputObjAttr: Attribute, stateInfo: Option[StatefulOperatorStateInfo], stateEncoder: ExpressionEncoder[Any], stateFormatVersion: Int, outputMode: OutputMode, timeoutConf: GroupStateTimeout, batchTimestampMs: Option[Long], eventTimeWatermark: Option[Long], child: SparkPlan)

    func

    function called on each group

    keyDeserializer

    used to extract the key object for each group.

    valueDeserializer

    used to extract the items in the iterator from an input row.

    groupingAttributes

    used to group the data

    dataAttributes

    used to read the data

    outputObjAttr

    Defines the output object

    stateEncoder

    used to serialize/deserialize state before calling func

    outputMode

    the output mode of func

    timeoutConf

    used to timeout groups that have not received data in a while

    batchTimestampMs

    processing timestamp of the current batch.

Type Members

  1. class InputProcessor extends AnyRef

    Helper class to update the state store

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. val batchTimestampMs: Option[Long]
  11. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  12. val child: SparkPlan
    Definition Classes
    FlatMapGroupsWithStateExec → UnaryExecNode
  13. final def children: Seq[SparkPlan]
    Definition Classes
    UnaryExecNode → TreeNode
  14. 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
  15. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  16. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  17. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  18. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  19. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  20. def conf: SQLConf
    Definition Classes
    SQLConfHelper
  21. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  22. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  23. val dataAttributes: Seq[Attribute]
  24. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  25. 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
    FlatMapGroupsWithStateExec → SparkPlan
  26. 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
  27. 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
  28. 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.

  29. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. val eventTimeWatermark: Option[Long]

    The watermark value.

    The watermark value.

    Definition Classes
    FlatMapGroupsWithStateExec → WatermarkSupport
  31. final def execute(): RDD[InternalRow]

    Returns the result of this query as an RDD[InternalRow] by delegating to doExecute after preparations.

    Returns the result of this query as an RDD[InternalRow] by delegating to doExecute after preparations.

    Concrete implementations of SparkPlan should override doExecute.

    Definition Classes
    SparkPlan
  32. final def executeBroadcast[T](): Broadcast[T]

    Returns the result of this query as a broadcast variable by delegating to doExecuteBroadcast after preparations.

    Returns the result of this query as a broadcast variable by delegating to doExecuteBroadcast after preparations.

    Concrete implementations of SparkPlan should override doExecuteBroadcast.

    Definition Classes
    SparkPlan
  33. def executeCollect(): Array[InternalRow]

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

    Definition Classes
    SparkPlan
  34. def executeCollectPublic(): Array[Row]

    Runs this query returning the result as an array, using external Row format.

    Runs this query returning the result as an array, using external Row format.

    Definition Classes
    SparkPlan
  35. final def executeColumnar(): RDD[ColumnarBatch]

    Returns the result of this query as an RDD[ColumnarBatch] by delegating to doColumnarExecute after preparations.

    Returns the result of this query as an RDD[ColumnarBatch] by delegating to doColumnarExecute after preparations.

    Concrete implementations of SparkPlan should override doColumnarExecute if supportsColumnar returns true.

    Definition Classes
    SparkPlan
  36. final def executeQuery[T](query: ⇒ T): T

    Executes a query after preparing the query and adding query plan information to created RDDs for visualization.

    Executes a query after preparing the query and adding query plan information to created RDDs for visualization.

    Attributes
    protected
    Definition Classes
    SparkPlan
  37. def executeTail(n: Int): Array[InternalRow]

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

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

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

    Definition Classes
    SparkPlan
  38. def executeTake(n: Int): Array[InternalRow]

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

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

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

    Definition Classes
    SparkPlan
  39. def executeToIterator(): Iterator[InternalRow]

    Runs this query returning the result as an iterator of InternalRow.

    Runs this query returning the result as an iterator of InternalRow.

    Definition Classes
    SparkPlan
    Note

    Triggers multiple jobs (one for each partition).

  40. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  41. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  42. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  43. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  44. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  45. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  46. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  47. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  48. val func: (Any, Iterator[Any], LogicalGroupState[Any]) ⇒ Iterator[Any]
  49. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  50. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  51. def 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
  52. def getStateInfo: StatefulOperatorStateInfo
    Attributes
    protected
    Definition Classes
    StatefulOperator
  53. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  54. val groupingAttributes: Seq[Attribute]
  55. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  56. val id: Int
    Definition Classes
    SparkPlan
  57. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  58. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  60. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  61. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  62. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  63. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  65. val keyDeserializer: Expression
  66. def keyExpressions: Seq[Attribute]

    The keys that may have a watermark attribute.

    The keys that may have a watermark attribute.

    Definition Classes
    FlatMapGroupsWithStateExec → WatermarkSupport
  67. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  68. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  75. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

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

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    StateStoreWriter → SparkPlan
  87. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  88. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  89. def nodeName: String
    Definition Classes
    TreeNode
  90. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  91. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  92. def numberedTreeString: String
    Definition Classes
    TreeNode
  93. val origin: Origin
    Definition Classes
    TreeNode
  94. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  95. def output: Seq[Attribute]
    Definition Classes
    ObjectProducerExec → QueryPlan
  96. val outputMode: OutputMode
  97. val outputObjAttr: Attribute
    Definition Classes
    FlatMapGroupsWithStateExec → ObjectProducerExec
  98. def outputObjectType: DataType
    Definition Classes
    ObjectProducerExec
  99. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    SparkPlan
  100. 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
    SparkPlan
  101. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  102. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  103. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  104. 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
  105. def prettyJson: String
    Definition Classes
    TreeNode
  106. def printSchema(): Unit
    Definition Classes
    QueryPlan
  107. def producedAttributes: AttributeSet
    Definition Classes
    ObjectProducerExec → QueryPlan
  108. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  109. def removeKeysOlderThanWatermark(storeManager: StreamingAggregationStateManager, store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  110. def removeKeysOlderThanWatermark(store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  111. def requiredChildDistribution: Seq[Distribution]

    Distribute by grouping attributes

    Distribute by grouping attributes

    Definition Classes
    FlatMapGroupsWithStateExec → SparkPlan
  112. def requiredChildOrdering: Seq[Seq[SortOrder]]

    Ordering needed for using GroupingIterator

    Ordering needed for using GroupingIterator

    Definition Classes
    FlatMapGroupsWithStateExec → SparkPlan
  113. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  114. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  115. lazy val schema: StructType
    Definition Classes
    QueryPlan
  116. def schemaString: String
    Definition Classes
    QueryPlan
  117. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  118. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  119. 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
  120. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  121. 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
    FlatMapGroupsWithStateExec → StateStoreWriter
  122. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  123. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  124. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  125. 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
  126. val stateEncoder: ExpressionEncoder[Any]
  127. val stateFormatVersion: Int
  128. val stateInfo: Option[StatefulOperatorStateInfo]
    Definition Classes
    FlatMapGroupsWithStateExec → StatefulOperator
  129. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  130. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  131. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  132. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  133. 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
  134. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  135. 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
  136. val timeoutConf: GroupStateTimeout
  137. def toJSON: String
    Definition Classes
    TreeNode
  138. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  139. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  140. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  141. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  142. def transformExpressions(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  143. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  144. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  145. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  146. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) ⇒ Boolean, canGetOutput: (SparkPlan) ⇒ Boolean): SparkPlan
    Definition Classes
    QueryPlan
  147. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  148. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  149. final def treeString: String
    Definition Classes
    TreeNode
  150. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  151. val valueDeserializer: Expression
  152. 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
  153. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  154. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  155. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  156. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  157. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  158. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  159. 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
  160. lazy val watermarkExpression: Option[Expression]

    Generate an expression that matches data older than the watermark

    Generate an expression that matches data older than the watermark

    Definition Classes
    WatermarkSupport
  161. lazy val watermarkPredicateForData: Option[BasePredicate]

    Predicate based on the child output that matches data older than the watermark.

    Predicate based on the child output that matches data older than the watermark.

    Definition Classes
    WatermarkSupport
  162. lazy val watermarkPredicateForKeys: Option[BasePredicate]

    Predicate based on keys that matches data older than the watermark

    Predicate based on keys that matches data older than the watermark

    Definition Classes
    WatermarkSupport
  163. def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode

Inherited from WatermarkSupport

Inherited from StateStoreWriter

Inherited from StatefulOperator

Inherited from ObjectProducerExec

Inherited from UnaryExecNode

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