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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], 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. TreeNode
  13. Product
  14. Equals
  15. AnyRef
  16. 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 argString(maxFields: Int): String
    Definition Classes
    TreeNode
  7. def asCode: String
    Definition Classes
    TreeNode
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. val batchTimestampMs: Option[Long]
  10. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  11. val child: SparkPlan
    Definition Classes
    FlatMapGroupsWithStateExec → UnaryExecNode
  12. final def children: Seq[SparkPlan]
    Definition Classes
    UnaryExecNode → TreeNode
  13. def cleanupResources(): Unit

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

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

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  14. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  15. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  16. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  17. def collectInPlanAndSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  18. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  19. def conf: SQLConf
    Definition Classes
    QueryPlan
  20. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  21. def copyTagsFrom(other: SparkPlan): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  22. val dataAttributes: Seq[Attribute]
  23. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  24. 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
  25. 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
  26. 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
  27. 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.

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

    The watermark value.

    The watermark value.

    Definition Classes
    FlatMapGroupsWithStateExec → WatermarkSupport
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  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. val func: (Any, Iterator[Any], LogicalGroupState[Any]) ⇒ Iterator[Any]
  46. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean): 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. val groupingAttributes: Seq[Attribute]
  52. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  53. val id: Int
    Definition Classes
    SparkPlan
  54. def initializeForcefully(isInterpreter: Boolean, silent: Boolean): Unit
    Definition Classes
    Logging
  55. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  56. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  58. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  59. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  60. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  61. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  62. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  63. val keyDeserializer: Expression
  64. def keyExpressions: Seq[Attribute]

    The keys that may have a watermark attribute.

    The keys that may have a watermark attribute.

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

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

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

    returns

    All metrics containing metrics of this SparkPlan.

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

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    SparkPlan
  98. def outputPartitioning: Partitioning

    Specifies how data is partitioned across different nodes in the cluster.

    Specifies how data is partitioned across different nodes in the cluster.

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

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  102. 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
  103. def prettyJson: String
    Definition Classes
    TreeNode
  104. def printSchema(): Unit
    Definition Classes
    QueryPlan
  105. def producedAttributes: AttributeSet
    Definition Classes
    ObjectProducerExec → QueryPlan
  106. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  107. def removeKeysOlderThanWatermark(storeManager: StreamingAggregationStateManager, store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  108. def removeKeysOlderThanWatermark(store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  109. def requiredChildDistribution: Seq[Distribution]

    Distribute by grouping attributes

    Distribute by grouping attributes

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

    Ordering needed for using GroupingIterator

    Ordering needed for using GroupingIterator

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

    Resets all the metrics.

    Resets all the metrics.

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

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  117. 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
  118. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  119. 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
  120. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  121. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  122. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  123. 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
  124. val stateEncoder: ExpressionEncoder[Any]
  125. val stateFormatVersion: Int
  126. val stateInfo: Option[StatefulOperatorStateInfo]
    Definition Classes
    FlatMapGroupsWithStateExec → StatefulOperator
  127. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  128. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  129. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  130. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  131. 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
  132. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  133. 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
  134. val timeoutConf: GroupStateTimeout
  135. def toJSON: String
    Definition Classes
    TreeNode
  136. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  137. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  138. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  139. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  140. def transformExpressions(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  141. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  142. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  143. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  144. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  145. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  146. final def treeString: String
    Definition Classes
    TreeNode
  147. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  148. val valueDeserializer: Expression
  149. 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
  150. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  151. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  152. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  153. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  154. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  155. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  156. 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
  157. 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
  158. 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
  159. 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
  160. 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 TreeNode[SparkPlan]

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped