Packages

abstract class SparkPlan extends QueryPlan[SparkPlan] with Logging with Serializable

The base class for physical operators.

The naming convention is that physical operators end with "Exec" suffix, e.g. ProjectExec.

Linear Supertypes
Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], TreePatternBits, Product, Equals, AnyRef, Any
Known Subclasses
AliasAwareOutputExpression, AliasAwareOutputOrdering, AliasAwareOutputPartitioning, AppendColumnsExec, AppendColumnsWithObjectExec, BaseLimitExec, BaseScriptTransformationExec, BaseSubqueryExec, BinaryExecNode, BlockingOperatorWithCodegen, CoGroupExec, CoalesceExec, CodegenSupport, CollectLimitExec, CollectMetricsExec, CollectTailExec, ColumnarToRowExec, ColumnarToRowTransition, CommandResultExec, DataSourceScanExec, DeserializeToObjectExec, ExpandExec, ExternalRDDScanExec, FileSourceScanExec, FilterExec, FlatMapGroupsInRExec, FlatMapGroupsInRWithArrowExec, GenerateExec, GlobalLimitExec, InputAdapter, InputRDDCodegen, LeafExecNode, LimitExec, LocalLimitExec, LocalTableScanExec, MapElementsExec, MapGroupsExec, MapPartitionsExec, MapPartitionsInRWithArrowExec, ObjectConsumerExec, ObjectProducerExec, PlanLater, ProjectExec, RDDScanExec, RangeExec, ReusedSubqueryExec, RowDataSourceScanExec, RowToColumnarExec, RowToColumnarTransition, SampleExec, SerializeFromObjectExec, SortExec, SparkScriptTransformationExec, SubqueryAdaptiveBroadcastExec, SubqueryBroadcastExec, SubqueryExec, TakeOrderedAndProjectExec, UnaryExecNode, UnionExec, WholeStageCodegenExec, AQEShuffleReadExec, AdaptiveSparkPlanExec, BroadcastQueryStageExec, QueryStageExec, ShuffleQueryStageExec, SkewJoinChildWrapper, AggregateCodegenSupport, BaseAggregateExec, HashAggregateExec, MergingSessionsExec, ObjectHashAggregateExec, SortAggregateExec, UpdatingSessionsExec, InMemoryTableScanExec, DataWritingCommandExec, ExecutedCommandExec, AddPartitionExec, AlterNamespaceSetPropertiesExec, AlterTableExec, AppendDataExec, AppendDataExecV1, AtomicCreateTableAsSelectExec, AtomicReplaceTableAsSelectExec, AtomicReplaceTableExec, BaseCacheTableExec, BatchScanExec, CacheTableAsSelectExec, CacheTableExec, ContinuousScanExec, CreateIndexExec, CreateNamespaceExec, CreateTableAsSelectExec, CreateTableExec, DataSourceV2ScanExecBase, DeleteFromTableExec, DescribeColumnExec, DescribeNamespaceExec, DescribeTableExec, DropIndexExec, DropNamespaceExec, DropPartitionExec, DropTableExec, LeafV2CommandExec, MicroBatchScanExec, OverwriteByExpressionExec, OverwriteByExpressionExecV1, OverwritePartitionsDynamicExec, RefreshTableExec, RenamePartitionExec, RenameTableExec, ReplaceDataExec, ReplaceTableAsSelectExec, ReplaceTableExec, SetCatalogAndNamespaceExec, ShowCreateTableExec, ShowNamespacesExec, ShowPartitionsExec, ShowTablePropertiesExec, ShowTablesExec, SupportsV1Write, TruncatePartitionExec, TruncateTableExec, UncacheTableExec, V1FallbackWriters, V2CommandExec, V2ExistingTableWriteExec, V2TableWriteExec, WriteToDataSourceV2Exec, DebugExec, BroadcastExchangeExec, BroadcastExchangeLike, Exchange, ReusedExchangeExec, ShuffleExchangeExec, ShuffleExchangeLike, BaseJoinExec, BroadcastHashJoinExec, BroadcastNestedLoopJoinExec, CartesianProductExec, HashJoin, JoinCodegenSupport, ShuffledHashJoinExec, ShuffledJoin, SortMergeJoinExec, AggregateInPandasExec, ArrowEvalPythonExec, AttachDistributedSequenceExec, BatchEvalPythonExec, EvalPythonExec, FlatMapCoGroupsInPandasExec, FlatMapGroupsInPandasExec, MapInBatchExec, MapInPandasExec, PythonMapInArrowExec, WindowInPandasExec, EventTimeWatermarkExec, FlatMapGroupsWithStateExec, SessionWindowStateStoreRestoreExec, SessionWindowStateStoreSaveExec, StateStoreReader, StateStoreRestoreExec, StateStoreSaveExec, StateStoreWriter, StatefulOperator, StreamingDeduplicateExec, StreamingGlobalLimitExec, StreamingLocalLimitExec, StreamingRelationExec, StreamingSymmetricHashJoinExec, WatermarkSupport, WriteToContinuousDataSourceExec, WindowExec, WindowExecBase
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SparkPlan
  2. Serializable
  3. Logging
  4. QueryPlan
  5. SQLConfHelper
  6. TreeNode
  7. TreePatternBits
  8. Product
  9. Equals
  10. AnyRef
  11. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new SparkPlan()

Abstract Value Members

  1. abstract def canEqual(that: Any): Boolean
    Definition Classes
    Equals
  2. abstract def children: Seq[SparkPlan]
    Definition Classes
    TreeNode
  3. abstract 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
  4. abstract def output: Seq[Attribute]
    Definition Classes
    QueryPlan
  5. abstract def productArity: Int
    Definition Classes
    Product
  6. abstract def productElement(n: Int): Any
    Definition Classes
    Product
  7. abstract def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode

Concrete 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. 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]
  11. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  12. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  13. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  14. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  15. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  16. def conf: SQLConf
    Definition Classes
    SparkPlan → SQLConfHelper
  17. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  18. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  19. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  20. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  21. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  22. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  23. def doCanonicalize(): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  24. 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]
  25. 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
  26. 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
    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.

  27. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  29. 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.

  30. 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.

  31. def executeCollect(): Array[InternalRow]

    Runs this query returning the result as an array.

  32. def executeCollectPublic(): Array[Row]

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

  33. 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.

  34. 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
  35. 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.

  36. def executeTake(n: Int): Array[InternalRow]

    Runs this query returning the first n rows as an array.

    Runs this query returning the first n rows as an array.

    This is modeled after RDD.take but never runs any job locally on the driver.

  37. def executeToIterator(): Iterator[InternalRow]

    Runs this query returning the result as an iterator of InternalRow.

    Runs this query returning the result as an iterator of InternalRow.

    Note

    Triggers multiple jobs (one for each partition).

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

    returns

    The logical plan this plan is linked to.

  76. def longMetric(name: String): SQLMetric

    returns

    SQLMetric for the name.

  77. 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
  78. def map[A](f: (SparkPlan) => A): Seq[A]
    Definition Classes
    TreeNode
  79. def mapChildren(f: (SparkPlan) => SparkPlan): SparkPlan
    Definition Classes
    TreeNode
  80. def mapExpressions(f: (Expression) => Expression): SparkPlan.this.type
    Definition Classes
    QueryPlan
  81. def mapProductIterator[B](f: (Any) => B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  82. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  83. def metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

  84. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  85. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  86. def nodeName: String
    Definition Classes
    TreeNode
  87. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  88. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  89. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  90. def numberedTreeString: String
    Definition Classes
    TreeNode
  91. val origin: Origin
    Definition Classes
    TreeNode
  92. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  93. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

  94. 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.

  95. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  96. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  97. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

  98. 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
  99. def prettyJson: String
    Definition Classes
    TreeNode
  100. def printSchema(): Unit
    Definition Classes
    QueryPlan
  101. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  102. def productElementName(n: Int): String
    Definition Classes
    Product
  103. def productElementNames: Iterator[String]
    Definition Classes
    Product
  104. def productIterator: Iterator[Any]
    Definition Classes
    Product
  105. def productPrefix: String
    Definition Classes
    Product
  106. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  107. 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.

  108. def requiredChildOrdering: Seq[Seq[SortOrder]]

    Specifies sort order for each partition requirements on the input data for this operator.

  109. def resetMetrics(): Unit

    Resets all the metrics.

  110. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  111. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  112. lazy val schema: StructType
    Definition Classes
    QueryPlan
  113. def schemaString: String
    Definition Classes
    QueryPlan
  114. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  115. final val session: SparkSession
  116. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

  117. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  118. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  119. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  120. def sparkContext: SparkContext
    Attributes
    protected
  121. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  122. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  123. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  124. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  125. 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.

  126. 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.

  127. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  128. def toJSON: String
    Definition Classes
    TreeNode
  129. def toRowBased: SparkPlan

    Converts the output of this plan to row-based if it is columnar plan.

  130. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  131. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  132. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  133. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  134. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  135. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  136. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  137. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  138. def transformExpressions(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  139. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  140. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  141. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  142. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  143. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): SparkPlan.this.type
    Definition Classes
    QueryPlan
  144. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  145. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  146. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  147. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  148. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  149. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  150. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  151. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  152. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  153. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  154. final def treeString: String
    Definition Classes
    TreeNode
  155. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  156. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  157. 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.

  158. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  159. def verboseStringWithOperatorId(): String
    Definition Classes
    QueryPlan
  160. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  161. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  162. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  163. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  164. 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
  165. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode

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