Packages

case class FlatMapGroupsWithStateExec(func: (Any, Iterator[Any], LogicalGroupState[Any]) => Iterator[Any], keyDeserializer: Expression, valueDeserializer: Expression, initialStateDeserializer: Expression, groupingAttributes: Seq[Attribute], initialStateGroupAttrs: Seq[Attribute], dataAttributes: Seq[Attribute], initialStateDataAttrs: Seq[Attribute], outputObjAttr: Attribute, stateInfo: Option[StatefulOperatorStateInfo], stateEncoder: ExpressionEncoder[Any], stateFormatVersion: Int, outputMode: OutputMode, timeoutConf: GroupStateTimeout, batchTimestampMs: Option[Long], eventTimeWatermark: Option[Long], initialState: SparkPlan, hasInitialState: Boolean, child: SparkPlan) extends SparkPlan with BinaryExecNode 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.

initialStateDeserializer

used to extract the state object from the initialState dataset

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.

eventTimeWatermark

event time watermark for the current batch

initialState

the user specified initial state

hasInitialState

indicates whether the initial state is provided or not

child

the physical plan for the underlying data

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

Instance Constructors

  1. new FlatMapGroupsWithStateExec(func: (Any, Iterator[Any], LogicalGroupState[Any]) => Iterator[Any], keyDeserializer: Expression, valueDeserializer: Expression, initialStateDeserializer: Expression, groupingAttributes: Seq[Attribute], initialStateGroupAttrs: Seq[Attribute], dataAttributes: Seq[Attribute], initialStateDataAttrs: Seq[Attribute], outputObjAttr: Attribute, stateInfo: Option[StatefulOperatorStateInfo], stateEncoder: ExpressionEncoder[Any], stateFormatVersion: Int, outputMode: OutputMode, timeoutConf: GroupStateTimeout, batchTimestampMs: Option[Long], eventTimeWatermark: Option[Long], initialState: SparkPlan, hasInitialState: Boolean, 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.

    initialStateDeserializer

    used to extract the state object from the initialState dataset

    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.

    eventTimeWatermark

    event time watermark for the current batch

    initialState

    the user specified initial state

    hasInitialState

    indicates whether the initial state is provided or not

    child

    the physical plan for the underlying data

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
  13. final lazy val children: Seq[SparkPlan]
    Definition Classes
    BinaryLike
    Annotations
    @transient()
  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
    SparkPlan → SQLConfHelper
  21. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  22. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  23. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  24. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  25. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  26. def customStatefulOperatorMetrics: Seq[StatefulOperatorCustomMetric]

    Set of stateful operator custom metrics.

    Set of stateful operator custom metrics. These are captured as part of the generic key-value map StateOperatorProgress.customMetrics. Stateful operators can extend this method to provide their own unique custom metrics.

    Attributes
    protected
    Definition Classes
    StateStoreWriter
  27. val dataAttributes: Seq[Attribute]
  28. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  29. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  30. 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
    FlatMapGroupsWithStateExecSparkPlan
  31. 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
  32. 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
  33. 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.

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

    The watermark value.

    The watermark value.

    Definition Classes
    FlatMapGroupsWithStateExecWatermarkSupport
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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).

  45. def exists(f: (SparkPlan) => Boolean): Boolean
    Definition Classes
    TreeNode
  46. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  47. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  48. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  49. def find(f: (SparkPlan) => Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  50. def flatMap[A](f: (SparkPlan) => TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  51. def foreach(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  52. def foreachUp(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  53. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  54. val func: (Any, Iterator[Any], LogicalGroupState[Any]) => Iterator[Any]
  55. 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
  56. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  57. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  58. 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
  59. def getStateInfo: StatefulOperatorStateInfo
    Attributes
    protected
    Definition Classes
    StatefulOperator
  60. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  61. val groupingAttributes: Seq[Attribute]
  62. val hasInitialState: Boolean
  63. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  64. val id: Int
    Definition Classes
    SparkPlan
  65. val initialState: SparkPlan
  66. val initialStateDataAttrs: Seq[Attribute]
  67. val initialStateDeserializer: Expression
  68. val initialStateGroupAttrs: Seq[Attribute]
  69. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  70. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  72. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  73. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  74. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  75. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  76. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  77. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  78. val keyDeserializer: Expression
  79. def keyExpressions: Seq[Attribute]

    The keys that may have a watermark attribute.

    The keys that may have a watermark attribute.

    Definition Classes
    FlatMapGroupsWithStateExecWatermarkSupport
  80. def left: SparkPlan
    Definition Classes
    FlatMapGroupsWithStateExec → BinaryLike
  81. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  82. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  83. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  85. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  86. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  87. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  88. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  89. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  90. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  91. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  92. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  93. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  94. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  96. 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
  97. def map[A](f: (SparkPlan) => A): Seq[A]
    Definition Classes
    TreeNode
  98. final def mapChildren(f: (SparkPlan) => SparkPlan): SparkPlan
    Definition Classes
    BinaryLike
  99. def mapExpressions(f: (Expression) => Expression): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  100. def mapProductIterator[B](f: (Any) => B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  101. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  102. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    StateStoreWriterSparkPlan
  103. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  104. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  105. def nodeName: String
    Definition Classes
    TreeNode
  106. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  107. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  108. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  109. def numberedTreeString: String
    Definition Classes
    TreeNode
  110. val origin: Origin
    Definition Classes
    TreeNode
  111. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  112. def output: Seq[Attribute]
    Definition Classes
    ObjectProducerExec → QueryPlan
  113. val outputMode: OutputMode
  114. val outputObjAttr: Attribute
  115. def outputObjectType: DataType
    Definition Classes
    ObjectProducerExec
  116. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    SparkPlan
  117. 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
  118. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  119. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  120. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  121. 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
  122. def prettyJson: String
    Definition Classes
    TreeNode
  123. def printSchema(): Unit
    Definition Classes
    QueryPlan
  124. def processDataWithPartition(iter: Iterator[InternalRow], store: StateStore, processor: InputProcessor, initialStateIterOption: Option[Iterator[InternalRow]] = None): CompletionIterator[InternalRow, Iterator[InternalRow]]

    Process data by applying the user defined function on a per partition basis.

    Process data by applying the user defined function on a per partition basis.

    iter

    - Iterator of the data rows

    store

    - associated state store for this partition

    processor

    - handle to the input processor object.

    initialStateIterOption

    - optional initial state iterator

  125. def producedAttributes: AttributeSet
    Definition Classes
    ObjectProducerExec → QueryPlan
  126. def productElementNames: Iterator[String]
    Definition Classes
    Product
  127. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  128. def removeKeysOlderThanWatermark(storeManager: StreamingAggregationStateManager, store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  129. def removeKeysOlderThanWatermark(store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  130. def requiredChildDistribution: Seq[Distribution]

    Distribute by grouping attributes - We need the underlying data and the initial state data to have the same grouping so that the data are co-lacated on the same task.

    Distribute by grouping attributes - We need the underlying data and the initial state data to have the same grouping so that the data are co-lacated on the same task.

    Definition Classes
    FlatMapGroupsWithStateExecSparkPlan
  131. def requiredChildOrdering: Seq[Seq[SortOrder]]

    Ordering needed for using GroupingIterator.

    Ordering needed for using GroupingIterator. We need the initial state to also use the ordering as the data so that we can co-locate the keys from the underlying data and the initial state.

    Definition Classes
    FlatMapGroupsWithStateExecSparkPlan
  132. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  133. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  134. def right: SparkPlan
    Definition Classes
    FlatMapGroupsWithStateExec → BinaryLike
  135. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  136. lazy val schema: StructType
    Definition Classes
    QueryPlan
  137. def schemaString: String
    Definition Classes
    QueryPlan
  138. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  139. final val session: SparkSession
    Definition Classes
    SparkPlan
  140. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  141. def setOperatorMetrics(numStateStoreInstances: Int = 1): Unit

    Set the operator level metrics

    Set the operator level metrics

    Attributes
    protected
    Definition Classes
    StateStoreWriter
  142. 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
  143. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  144. def shortName: String

    Name to output in StreamingOperatorProgress to identify operator type

    Name to output in StreamingOperatorProgress to identify operator type

    Definition Classes
    FlatMapGroupsWithStateExecStateStoreWriter
  145. 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
    FlatMapGroupsWithStateExecStateStoreWriter
  146. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  147. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  148. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  149. val stateEncoder: ExpressionEncoder[Any]
  150. val stateFormatVersion: Int
  151. val stateInfo: Option[StatefulOperatorStateInfo]
  152. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  153. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  154. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  155. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  156. 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
  157. 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
  158. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  159. 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
  160. val timeoutConf: GroupStateTimeout
  161. def toJSON: String
    Definition Classes
    TreeNode
  162. 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
  163. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  164. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  165. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  166. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  167. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  168. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  169. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  170. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  171. def transformExpressions(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  172. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  173. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  174. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  175. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  176. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapGroupsWithStateExec.this.type
    Definition Classes
    QueryPlan
  177. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  178. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  179. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  180. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  181. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  182. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  183. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  184. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  185. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  186. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  187. final def treeString: String
    Definition Classes
    TreeNode
  188. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  189. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  190. val valueDeserializer: Expression
  191. 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
  192. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  193. def verboseStringWithOperatorId(): String
    Definition Classes
    BinaryExecNode → QueryPlan
  194. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  195. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  196. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  197. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  198. 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
  199. 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
  200. 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
  201. 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
  202. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  203. def withNewChildrenInternal(newLeft: SparkPlan, newRight: SparkPlan): FlatMapGroupsWithStateExec
    Attributes
    protected
    Definition Classes
    FlatMapGroupsWithStateExec → BinaryLike
  204. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    BinaryLike

Inherited from WatermarkSupport

Inherited from StateStoreWriter

Inherited from StatefulOperator

Inherited from ObjectProducerExec

Inherited from BinaryExecNode

Inherited from BinaryLike[SparkPlan]

Inherited from SparkPlan

Inherited from Serializable

Inherited from Logging

Inherited from QueryPlan[SparkPlan]

Inherited from SQLConfHelper

Inherited from TreeNode[SparkPlan]

Inherited from TreePatternBits

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped