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org.apache.spark.sql.execution.python

FlatMapCoGroupsInPandasExec

case class FlatMapCoGroupsInPandasExec(leftGroup: Seq[Attribute], rightGroup: Seq[Attribute], func: Expression, output: Seq[Attribute], left: SparkPlan, right: SparkPlan) extends SparkPlan with BinaryExecNode with Product with Serializable

Physical node for org.apache.spark.sql.catalyst.plans.logical.FlatMapCoGroupsInPandas

The input dataframes are first Cogrouped. Rows from each side of the cogroup are passed to the Python worker via Arrow. As each side of the cogroup may have a different schema we send every group in its own Arrow stream. The Python worker turns the resulting record batches to pandas.DataFrames, invokes the user-defined function, and passes the resulting pandas.DataFrame as an Arrow record batch. Finally, each record batch is turned to Iterator[InternalRow] using ColumnarBatch.

Note on memory usage: Both the Python worker and the Java executor need to have enough memory to hold the largest cogroup. The memory on the Java side is used to construct the record batches (off heap memory). The memory on the Python side is used for holding the pandas.DataFrame. It's possible to further split one group into multiple record batches to reduce the memory footprint on the Java side, this is left as future work.

Linear Supertypes
BinaryExecNode, BinaryLike[SparkPlan], SparkPlan, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], TreePatternBits, Product, Equals, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. FlatMapCoGroupsInPandasExec
  2. BinaryExecNode
  3. BinaryLike
  4. SparkPlan
  5. Serializable
  6. Logging
  7. QueryPlan
  8. SQLConfHelper
  9. TreeNode
  10. TreePatternBits
  11. Product
  12. Equals
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new FlatMapCoGroupsInPandasExec(leftGroup: Seq[Attribute], rightGroup: Seq[Attribute], func: Expression, output: Seq[Attribute], left: SparkPlan, right: 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. final lazy val children: Seq[SparkPlan]
    Definition Classes
    BinaryLike
    Annotations
    @transient()
  11. 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
  12. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  13. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  14. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  15. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  16. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  17. def conf: SQLConf
    Definition Classes
    SparkPlan → SQLConfHelper
  18. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  19. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  20. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  21. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  22. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  23. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  24. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  25. def doExecute(): RDD[InternalRow]

    Produces the result of the query as an RDD[InternalRow]

    Produces the result of the query as an RDD[InternalRow]

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected
    Definition Classes
    FlatMapCoGroupsInPandasExec → SparkPlan
  26. def doExecuteBroadcast[T](): Broadcast[T]

    Produces the result of the query as a broadcast variable.

    Produces the result of the query as a broadcast variable.

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  27. def doExecuteColumnar(): RDD[ColumnarBatch]

    Produces the result of the query as an RDD[ColumnarBatch] if supportsColumnar returns true.

    Produces the result of the query as an RDD[ColumnarBatch] if supportsColumnar returns true. By convention the executor that creates a ColumnarBatch is responsible for closing it when it is no longer needed. This allows input formats to be able to reuse batches if needed.

    Attributes
    protected
    Definition Classes
    SparkPlan
  28. def doPrepare(): Unit

    Overridden by concrete implementations of SparkPlan.

    Overridden by concrete implementations of SparkPlan. It is guaranteed to run before any execute of SparkPlan. This is helpful if we want to set up some state before executing the query, e.g., BroadcastHashJoin uses it to broadcast asynchronously.

    Attributes
    protected
    Definition Classes
    SparkPlan
    Note

    prepare method has already walked down the tree, so the implementation doesn't have to call children's prepare methods. This will only be called once, protected by this.

  29. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. final def execute(): RDD[InternalRow]

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

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

    Concrete implementations of SparkPlan should override doExecute.

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

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

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

    Concrete implementations of SparkPlan should override doExecuteBroadcast.

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

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

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

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

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

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

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

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

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

    Definition Classes
    SparkPlan
  35. final def executeQuery[T](query: => T): T

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

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

    Attributes
    protected
    Definition Classes
    SparkPlan
  36. def 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
  37. 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
  38. 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).

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

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  81. def makeCopy(newArgs: Array[AnyRef]): SparkPlan

    Overridden make copy also propagates sqlContext to copied plan.

    Overridden make copy also propagates sqlContext to copied plan.

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

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    SparkPlan
  88. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  89. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  90. def nodeName: String
    Definition Classes
    TreeNode
  91. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  92. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  93. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  94. def numberedTreeString: String
    Definition Classes
    TreeNode
  95. val origin: Origin
    Definition Classes
    TreeNode
  96. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  97. val output: Seq[Attribute]
    Definition Classes
    FlatMapCoGroupsInPandasExec → QueryPlan
  98. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

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

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  103. 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
  104. def prettyJson: String
    Definition Classes
    TreeNode
  105. def printSchema(): Unit
    Definition Classes
    QueryPlan
  106. def producedAttributes: AttributeSet
    Definition Classes
    FlatMapCoGroupsInPandasExec → QueryPlan
  107. def productElementNames: Iterator[String]
    Definition Classes
    Product
  108. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  109. 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
    FlatMapCoGroupsInPandasExec → SparkPlan
  110. 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
    FlatMapCoGroupsInPandasExec → SparkPlan
  111. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  112. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  113. val right: SparkPlan
    Definition Classes
    FlatMapCoGroupsInPandasExec → BinaryLike
  114. val rightGroup: Seq[Attribute]
  115. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  116. lazy val schema: StructType
    Definition Classes
    QueryPlan
  117. def schemaString: String
    Definition Classes
    QueryPlan
  118. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  119. final val session: SparkSession
    Definition Classes
    SparkPlan
  120. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  121. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  122. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  123. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  124. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  125. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  126. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  127. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  128. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  129. 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
  130. 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
  131. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  132. def toJSON: String
    Definition Classes
    TreeNode
  133. 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
  134. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  135. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  136. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  137. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  138. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  139. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  140. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  141. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  142. def transformExpressions(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  143. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  144. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  145. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  146. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  147. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): FlatMapCoGroupsInPandasExec.this.type
    Definition Classes
    QueryPlan
  148. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  149. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  150. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  151. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  152. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  153. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  154. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  155. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  156. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  157. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  158. final def treeString: String
    Definition Classes
    TreeNode
  159. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  160. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  161. 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
  162. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  163. def verboseStringWithOperatorId(): String
    Definition Classes
    BinaryExecNode → QueryPlan
  164. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  165. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  166. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  167. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  168. 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
  169. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  170. def withNewChildrenInternal(newLeft: SparkPlan, newRight: SparkPlan): FlatMapCoGroupsInPandasExec
    Attributes
    protected
    Definition Classes
    FlatMapCoGroupsInPandasExec → BinaryLike
  171. final def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    BinaryLike

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