Packages

case class StreamingDeduplicateExec(keyExpressions: Seq[Attribute], child: SparkPlan, stateInfo: Option[StatefulOperatorStateInfo] = None, eventTimeWatermarkForLateEvents: Option[Long] = None, eventTimeWatermarkForEviction: Option[Long] = None) extends BaseStreamingDeduplicateExec with Product with Serializable

Physical operator for executing streaming Deduplicate.

Linear Supertypes
BaseStreamingDeduplicateExec, WatermarkSupport, StateStoreWriter, PythonSQLMetrics, StatefulOperator, UnaryExecNode, UnaryLike[SparkPlan], SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], WithOrigin, TreePatternBits, Product, Equals, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. StreamingDeduplicateExec
  2. BaseStreamingDeduplicateExec
  3. WatermarkSupport
  4. StateStoreWriter
  5. PythonSQLMetrics
  6. StatefulOperator
  7. UnaryExecNode
  8. UnaryLike
  9. SparkPlan
  10. Serializable
  11. Serializable
  12. Logging
  13. QueryPlan
  14. SQLConfHelper
  15. TreeNode
  16. WithOrigin
  17. TreePatternBits
  18. Product
  19. Equals
  20. AnyRef
  21. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new StreamingDeduplicateExec(keyExpressions: Seq[Attribute], child: SparkPlan, stateInfo: Option[StatefulOperatorStateInfo] = None, eventTimeWatermarkForLateEvents: Option[Long] = None, eventTimeWatermarkForEviction: Option[Long] = None)

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. lazy val allowMultipleStatefulOperators: Boolean
    Definition Classes
    WatermarkSupport
  6. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  7. def applyRemovingRowsOlderThanWatermark(iter: Iterator[InternalRow], predicateDropRowByWatermark: BasePredicate): Iterator[InternalRow]
    Attributes
    protected
    Definition Classes
    StateStoreWriter
  8. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  9. def asCode: String
    Definition Classes
    TreeNode
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  12. val child: SparkPlan
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec → WatermarkSupport → UnaryLike
  13. final lazy val children: Seq[SparkPlan]
    Definition Classes
    UnaryLike
    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.

    Definition Classes
    BaseStreamingDeduplicateExec → StateStoreWriter
  27. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  28. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  29. 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
    BaseStreamingDeduplicateExec → SparkPlan
  30. 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
  31. 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
  32. def doExecuteWrite(writeFilesSpec: WriteFilesSpec): RDD[WriterCommitMessage]

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

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

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected
    Definition Classes
    SparkPlan
  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 eventTimeWatermarkForEviction: Option[Long]

    The watermark value for closing aggregates and evicting state.

    The watermark value for closing aggregates and evicting state. It is different from the late events filtering watermark (consider chained aggregators agg1 -> agg2: agg1 evicts state which will be effectively late against the eviction watermark but should not be late for agg2 input late record filtering watermark. Thus agg1 and agg2 use the current batch watermark for state eviction but the previous batch watermark for late record filtering.

    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec → WatermarkSupport
  36. val eventTimeWatermarkForLateEvents: Option[Long]

    The watermark value for filtering late events/records.

    The watermark value for filtering late events/records. This should be the previous batch state eviction watermark.

    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec → WatermarkSupport
  37. def evictDupInfoFromState(store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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).

  47. def executeWrite(writeFilesSpec: WriteFilesSpec): RDD[WriterCommitMessage]

    Returns the result of writes as an RDD[WriterCommitMessage] variable by delegating to doExecuteWrite after preparations.

    Returns the result of writes as an RDD[WriterCommitMessage] variable by delegating to doExecuteWrite after preparations.

    Concrete implementations of SparkPlan should override doExecuteWrite.

    Definition Classes
    SparkPlan
  48. def exists(f: (SparkPlan) ⇒ Boolean): Boolean
    Definition Classes
    TreeNode
  49. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  50. val extraOptionOnStateStore: Map[String, String]
    Attributes
    protected
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec
  51. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  52. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  53. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  54. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  55. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  56. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  57. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  58. def generateTreeString(depth: Int, lastChildren: ArrayList[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  59. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  60. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  61. 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
  62. def getStateInfo: StatefulOperatorStateInfo
    Attributes
    protected
    Definition Classes
    StatefulOperator
  63. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  64. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  65. val id: Int
    Definition Classes
    SparkPlan
  66. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  67. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def initializeReusedDupInfoRow(): Option[UnsafeRow]
    Attributes
    protected
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec
  69. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  70. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  71. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  72. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  73. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  74. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  75. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  76. val keyExpressions: Seq[Attribute]

    The keys that may have a watermark attribute.

    The keys that may have a watermark attribute.

    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec → WatermarkSupport
  77. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  78. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  79. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  83. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  85. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  86. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  87. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  88. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  89. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  90. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  92. 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
  93. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  94. final def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    UnaryLike
  95. def mapExpressions(f: (Expression) ⇒ Expression): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  96. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  97. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  98. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    StateStoreWriter → PythonSQLMetrics → SparkPlan
  99. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  100. def multiTransformDown(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  101. def multiTransformDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  102. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  103. def nodeName: String
    Definition Classes
    TreeNode
  104. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  105. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  106. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  107. def numberedTreeString: String
    Definition Classes
    TreeNode
  108. val origin: Origin
    Definition Classes
    TreeNode → WithOrigin
  109. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  110. def output: Seq[Attribute]
    Definition Classes
    BaseStreamingDeduplicateExec → QueryPlan
  111. def outputOrdering: Seq[SortOrder]
    Definition Classes
    QueryPlan
  112. 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
    BaseStreamingDeduplicateExec → SparkPlan
  113. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  114. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  115. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  116. 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
  117. def prettyJson: String
    Definition Classes
    TreeNode
  118. def printSchema(): Unit
    Definition Classes
    QueryPlan
  119. def produceOutputWatermark(inputWatermarkMs: Long): Option[Long]

    Produce the output watermark for given input watermark (ms).

    Produce the output watermark for given input watermark (ms).

    In most cases, this is same as the criteria of state eviction, as most stateful operators produce the output from two different kinds:

    1. without buffering 2. with buffering (state)

    The state eviction happens when event time exceeds a "certain threshold of timestamp", which denotes a lower bound of event time values for output (output watermark).

    The default implementation provides the input watermark as it is. Most built-in operators will evict based on min input watermark and ensure it will be minimum of the event time value for the output so far (including output from eviction). Operators which behave differently (e.g. different criteria on eviction) must override this method.

    Note that the default behavior wil advance the watermark aggressively to simplify the logic, but it does not break the semantic of output watermark, which is following:

    An operator guarantees that it will not emit record with an event timestamp lower than its output watermark.

    For example, for 5 minutes time window aggregation, the advancement of watermark can happen "before" the window has been evicted and produced as output. Say, suppose there's an window in state: [0, 5) and input watermark = 3. Although there is no output for this operator, this operator will produce an output watermark as 3. It's still respecting the guarantee, as the operator will produce the window [0, 5) only when the output watermark is equal or greater than 5, and the downstream operator will process the input data, "and then" advance the watermark. Hence this window is considered as "non-late" record.

    Definition Classes
    StateStoreWriter
  120. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  121. def putDupInfoIntoState(store: StateStore, data: UnsafeRow, key: UnsafeRow, reusedDupInfoRow: Option[UnsafeRow]): Unit
    Attributes
    protected
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec
  122. val pythonMetrics: Map[String, SQLMetric]
    Definition Classes
    PythonSQLMetrics
  123. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  124. def removeKeysOlderThanWatermark(storeManager: StreamingAggregationStateManager, store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  125. def removeKeysOlderThanWatermark(store: StateStore): Unit
    Attributes
    protected
    Definition Classes
    WatermarkSupport
  126. def requiredChildDistribution: Seq[Distribution]

    Distribute by grouping attributes

    Distribute by grouping attributes

    Definition Classes
    BaseStreamingDeduplicateExec → SparkPlan
  127. 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
  128. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  129. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  130. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  131. lazy val schema: StructType
    Definition Classes
    QueryPlan
  132. val schemaForValueRow: StructType
    Attributes
    protected
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec
  133. def schemaString: String
    Definition Classes
    QueryPlan
  134. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  135. final val session: SparkSession
    Definition Classes
    SparkPlan
  136. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

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

    Set the operator level metrics

    Set the operator level metrics

    Attributes
    protected
    Definition Classes
    StateStoreWriter
  138. 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
  139. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  140. def shortName: String

    Name to output in StreamingOperatorProgress to identify operator type

    Name to output in StreamingOperatorProgress to identify operator type

    Definition Classes
    StreamingDeduplicateExec → StateStoreWriter
  141. def shouldRunAnotherBatch(newInputWatermark: Long): Boolean

    Should the MicroBatchExecution run another batch based on this stateful operator and the new input watermark.

    Should the MicroBatchExecution run another batch based on this stateful operator and the new input watermark.

    Definition Classes
    BaseStreamingDeduplicateExec → StateStoreWriter
  142. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  143. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  144. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  145. val stateInfo: Option[StatefulOperatorStateInfo]
    Definition Classes
    StreamingDeduplicateExec → BaseStreamingDeduplicateExec → StatefulOperator
  146. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  147. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  148. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  149. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  150. 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
  151. 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
  152. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  153. 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
  154. def toJSON: String
    Definition Classes
    TreeNode
  155. 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
  156. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  157. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  158. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  159. def transformAllExpressionsWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  160. def transformAllExpressionsWithSubqueries(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  161. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  162. def transformDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  163. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  164. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  165. def transformExpressions(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  166. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  167. def transformExpressionsDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  168. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  169. def transformExpressionsUpWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  170. def transformExpressionsWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): StreamingDeduplicateExec.this.type
    Definition Classes
    QueryPlan
  171. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  172. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  173. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) ⇒ Boolean, canGetOutput: (SparkPlan) ⇒ Boolean): SparkPlan
    Definition Classes
    QueryPlan
  174. def transformUpWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  175. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  176. def transformWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  177. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  178. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  179. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  180. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  181. final def treeString: String
    Definition Classes
    TreeNode
  182. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  183. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  184. 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
  185. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  186. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  187. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  188. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  189. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  190. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  191. 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
  192. lazy val watermarkExpressionForEviction: Option[Expression]

    Generate an expression that matches data older than the state eviction watermark

    Generate an expression that matches data older than the state eviction watermark

    Definition Classes
    WatermarkSupport
  193. lazy val watermarkExpressionForLateEvents: Option[Expression]

    Generate an expression that matches data older than late event filtering watermark

    Generate an expression that matches data older than late event filtering watermark

    Definition Classes
    WatermarkSupport
  194. lazy val watermarkPredicateForDataForEviction: Option[BasePredicate]
    Definition Classes
    WatermarkSupport
  195. lazy val watermarkPredicateForDataForLateEvents: Option[BasePredicate]

    Predicate based on the child output that matches data older than the watermark for late events filtering.

    Predicate based on the child output that matches data older than the watermark for late events filtering.

    Definition Classes
    WatermarkSupport
  196. lazy val watermarkPredicateForKeysForEviction: Option[BasePredicate]

    Generate an expression that matches data older than the state eviction watermark

    Generate an expression that matches data older than the state eviction watermark

    Definition Classes
    WatermarkSupport
  197. lazy val watermarkPredicateForKeysForLateEvents: Option[BasePredicate]

    Predicate based on keys that matches data older than the late event filtering watermark

    Predicate based on keys that matches data older than the late event filtering watermark

    Definition Classes
    WatermarkSupport
  198. def withNewChildInternal(newChild: SparkPlan): StreamingDeduplicateExec
    Attributes
    protected
    Definition Classes
    StreamingDeduplicateExec → UnaryLike
  199. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  200. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    UnaryLike

Inherited from BaseStreamingDeduplicateExec

Inherited from WatermarkSupport

Inherited from StateStoreWriter

Inherited from PythonSQLMetrics

Inherited from StatefulOperator

Inherited from UnaryExecNode

Inherited from UnaryLike[SparkPlan]

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 WithOrigin

Inherited from TreePatternBits

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped