Packages

c

org.apache.spark.sql.execution.python

WindowInPandasExec

case class WindowInPandasExec(windowExpression: Seq[NamedExpression], partitionSpec: Seq[Expression], orderSpec: Seq[SortOrder], child: SparkPlan) extends SparkPlan with WindowExecBase with PythonSQLMetrics with Product with Serializable

This class calculates and outputs windowed aggregates over the rows in a single partition.

This is similar to WindowExec. The main difference is that this node does not compute any window aggregation values. Instead, it computes the lower and upper bound for each window (i.e. window bounds) and pass the data and indices to Python worker to do the actual window aggregation.

It currently materializes all data associated with the same partition key and passes them to Python worker. This is not strictly necessary for sliding windows and can be improved (by possibly slicing data into overlapping chunks and stitching them together).

This class groups window expressions by their window boundaries so that window expressions with the same window boundaries can share the same window bounds. The window bounds are prepended to the data passed to the python worker.

For example, if we have: avg(v) over specifiedwindowframe(RowFrame, -5, 5), avg(v) over specifiedwindowframe(RowFrame, UnboundedPreceding, UnboundedFollowing), avg(v) over specifiedwindowframe(RowFrame, -3, 3), max(v) over specifiedwindowframe(RowFrame, -3, 3)

The python input will look like: (lower_bound_w1, upper_bound_w1, lower_bound_w3, upper_bound_w3, v)

where w1 is specifiedwindowframe(RowFrame, -5, 5) w2 is specifiedwindowframe(RowFrame, UnboundedPreceding, UnboundedFollowing) w3 is specifiedwindowframe(RowFrame, -3, 3)

Note that w2 doesn't have bound indices in the python input because it's unbounded window so it's bound indices will always be the same.

Bounded window and Unbounded window are evaluated differently in Python worker: (1) Bounded window takes the window bound indices in addition to the input columns. Unbounded window takes only input columns. (2) Bounded window evaluates the udf once per input row. Unbounded window evaluates the udf once per window partition. This is controlled by Python runner conf "pandas_window_bound_types"

The logic to compute window bounds is delegated to WindowFunctionFrame and shared with WindowExec

Note this doesn't support partial aggregation and all aggregation is computed from the entire window.

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

Instance Constructors

  1. new WindowInPandasExec(windowExpression: Seq[NamedExpression], partitionSpec: Seq[Expression], orderSpec: Seq[SortOrder], child: SparkPlan)

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. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  10. val child: SparkPlan
    Definition Classes
    WindowInPandasExec → UnaryLike
  11. final lazy val children: Seq[SparkPlan]
    Definition Classes
    UnaryLike
    Annotations
    @transient()
  12. def cleanupResources(): Unit

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

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

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  13. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  14. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  15. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  16. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  17. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  18. def conf: SQLConf
    Definition Classes
    SparkPlan → SQLConfHelper
  19. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  20. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  21. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  22. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  23. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  24. def createResultProjection(expressions: Seq[Expression]): UnsafeProjection

    Create the resulting projection.

    Create the resulting projection.

    This method uses Code Generation. It can only be used on the executor side.

    expressions

    unbound ordered function expressions.

    returns

    the final resulting projection.

    Attributes
    protected
    Definition Classes
    WindowExecBase
  25. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  26. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  27. 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
    WindowInPandasExec → SparkPlan
  28. 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
  29. 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
  30. 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
  31. 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.

  32. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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).

  42. 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
  43. def exists(f: (SparkPlan) => Boolean): Boolean
    Definition Classes
    TreeNode
  44. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  45. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  46. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  47. def find(f: (SparkPlan) => Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  48. def flatMap[A](f: (SparkPlan) => TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  49. def foreach(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  50. def foreachUp(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  51. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  52. 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
  53. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  54. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  55. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  56. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  57. val id: Int
    Definition Classes
    SparkPlan
  58. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  59. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  61. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  62. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  63. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  64. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  65. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  66. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  67. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  68. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  69. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  76. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  82. 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
  83. def map[A](f: (SparkPlan) => A): Seq[A]
    Definition Classes
    TreeNode
  84. final def mapChildren(f: (SparkPlan) => SparkPlan): SparkPlan
    Definition Classes
    UnaryLike
  85. def mapExpressions(f: (Expression) => Expression): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  86. def mapProductIterator[B](f: (Any) => B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  87. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  88. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    WindowInPandasExec → PythonSQLMetrics → SparkPlan
  89. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  90. def multiTransformDown(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  91. def multiTransformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  92. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  93. def nodeName: String
    Definition Classes
    TreeNode
  94. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  95. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  96. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  97. def numberedTreeString: String
    Definition Classes
    TreeNode
  98. val orderSpec: Seq[SortOrder]
    Definition Classes
    WindowInPandasExec → WindowExecBase
  99. val origin: Origin
    Definition Classes
    TreeNode → WithOrigin
  100. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  101. def output: Seq[Attribute]
    Definition Classes
    WindowExecBase → QueryPlan
  102. def outputOrdering: Seq[SortOrder]
    Definition Classes
    WindowExecBase → QueryPlan
  103. 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
    WindowExecBase → SparkPlan
  104. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  105. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  106. val partitionSpec: Seq[Expression]
    Definition Classes
    WindowInPandasExec → WindowExecBase
  107. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  108. 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
  109. def prettyJson: String
    Definition Classes
    TreeNode
  110. def printSchema(): Unit
    Definition Classes
    QueryPlan
  111. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  112. def productElementNames: Iterator[String]
    Definition Classes
    Product
  113. val pythonMetrics: Map[String, SQLMetric]
    Definition Classes
    PythonSQLMetrics
  114. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  115. def requiredChildDistribution: Seq[Distribution]

    Specifies the data distribution requirements of all the children for this operator.

    Specifies the data distribution requirements of all the children for this operator. By default it's UnspecifiedDistribution for each child, which means each child can have any distribution.

    If an operator overwrites this method, and specifies distribution requirements(excluding UnspecifiedDistribution and BroadcastDistribution) for more than one child, Spark guarantees that the outputs of these children will have same number of partitions, so that the operator can safely zip partitions of these children's result RDDs. Some operators can leverage this guarantee to satisfy some interesting requirement, e.g., non-broadcast joins can specify HashClusteredDistribution(a,b) for its left child, and specify HashClusteredDistribution(c,d) for its right child, then it's guaranteed that left and right child are co-partitioned by a,b/c,d, which means tuples of same value are in the partitions of same index, e.g., (a=1,b=2) and (c=1,d=2) are both in the second partition of left and right child.

    Definition Classes
    WindowExecBase → SparkPlan
  116. 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
    WindowExecBase → SparkPlan
  117. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  118. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  119. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  120. lazy val schema: StructType
    Definition Classes
    QueryPlan
  121. def schemaString: String
    Definition Classes
    QueryPlan
  122. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  123. final val session: SparkSession
    Definition Classes
    SparkPlan
  124. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  125. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  126. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  127. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  128. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  129. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  130. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  131. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  132. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  133. def supportsColumnar: Boolean

    Return true if this stage of the plan supports columnar execution.

    Return true if this stage of the plan supports columnar execution. A plan can also support row-based execution (see supportsRowBased). Spark will decide which execution to be called during query planning.

    Definition Classes
    SparkPlan
  134. 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
  135. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  136. def toJSON: String
    Definition Classes
    TreeNode
  137. 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
  138. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  139. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  140. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  141. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  142. def transformAllExpressionsWithSubqueries(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  143. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  144. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  145. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  146. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  147. def transformExpressions(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  148. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  149. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  150. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  151. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  152. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): WindowInPandasExec.this.type
    Definition Classes
    QueryPlan
  153. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  154. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  155. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  156. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  157. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  158. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  159. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  160. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  161. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  162. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  163. final def treeString: String
    Definition Classes
    TreeNode
  164. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  165. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  166. 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
  167. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  168. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  169. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  170. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  171. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  172. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  173. 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
  174. val windowExpression: Seq[NamedExpression]
    Definition Classes
    WindowInPandasExec → WindowExecBase
  175. lazy val windowFrameExpressionFactoryPairs: Seq[(ExpressionBuffer, (InternalRow) => WindowFunctionFrame)]

    Collection containing an entry for each window frame to process.

    Collection containing an entry for each window frame to process. Each entry contains a frame's WindowExpressions and factory function for the WindowFunctionFrame.

    Attributes
    protected
    Definition Classes
    WindowExecBase
  176. def withNewChildInternal(newChild: SparkPlan): WindowInPandasExec
    Attributes
    protected
    Definition Classes
    WindowInPandasExec → UnaryLike
  177. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  178. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    UnaryLike

Inherited from PythonSQLMetrics

Inherited from WindowExecBase

Inherited from UnaryExecNode

Inherited from UnaryLike[SparkPlan]

Inherited from SparkPlan

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