Packages

case class BatchScanExec(output: Seq[AttributeReference], scan: Scan, runtimeFilters: Seq[Expression], keyGroupedPartitioning: Option[Seq[Expression]] = None, ordering: Option[Seq[SortOrder]] = None, table: Table, commonPartitionValues: Option[Seq[(InternalRow, Int)]] = None, applyPartialClustering: Boolean = false, replicatePartitions: Boolean = false) extends SparkPlan with DataSourceV2ScanExecBase with Product with Serializable

Physical plan node for scanning a batch of data from a data source v2.

Linear Supertypes
DataSourceV2ScanExecBase, LeafExecNode, LeafLike[SparkPlan], SparkPlan, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], TreePatternBits, Product, Equals, AnyRef, Any
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  2. By Inheritance
Inherited
  1. BatchScanExec
  2. DataSourceV2ScanExecBase
  3. LeafExecNode
  4. LeafLike
  5. SparkPlan
  6. Serializable
  7. Logging
  8. QueryPlan
  9. SQLConfHelper
  10. TreeNode
  11. TreePatternBits
  12. Product
  13. Equals
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new BatchScanExec(output: Seq[AttributeReference], scan: Scan, runtimeFilters: Seq[Expression], keyGroupedPartitioning: Option[Seq[Expression]] = None, ordering: Option[Seq[SortOrder]] = None, table: Table, commonPartitionValues: Option[Seq[(InternalRow, Int)]] = None, applyPartialClustering: Boolean = false, replicatePartitions: Boolean = false)

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. val applyPartialClustering: Boolean
  7. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  8. def asCode: String
    Definition Classes
    TreeNode
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. lazy val batch: Batch
    Annotations
    @transient()
  11. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  12. final def children: Seq[SparkPlan]
    Definition Classes
    LeafLike
  13. 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
  14. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  15. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  16. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  17. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  18. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  19. val commonPartitionValues: Option[Seq[(InternalRow, Int)]]
  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. lazy val customMetrics: Map[String, SQLMetric]
    Definition Classes
    DataSourceV2ScanExecBase
  27. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  28. def doCanonicalize(): BatchScanExec
    Definition Classes
    BatchScanExec → 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.

    Definition Classes
    DataSourceV2ScanExecBase → 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.

    Definition Classes
    DataSourceV2ScanExecBase → 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. def equals(other: Any): Boolean
    Definition Classes
    BatchScanExec → Equals → AnyRef → Any
  36. final def execute(): RDD[InternalRow]

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

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

    Concrete implementations of SparkPlan should override doExecute.

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

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

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

    Concrete implementations of SparkPlan should override doExecuteBroadcast.

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

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

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

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

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

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

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

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

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

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

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

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

    Attributes
    protected
    Definition Classes
    SparkPlan
  42. def executeTail(n: Int): Array[InternalRow]

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

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

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

    Definition Classes
    SparkPlan
  43. def executeTake(n: Int): Array[InternalRow]

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

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

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

    Definition Classes
    SparkPlan
  44. def executeToIterator(): Iterator[InternalRow]

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

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

    Definition Classes
    SparkPlan
    Note

    Triggers multiple jobs (one for each partition).

  45. def 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
  46. def exists(f: (SparkPlan) => Boolean): Boolean
    Definition Classes
    TreeNode
  47. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  48. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  49. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  50. def find(f: (SparkPlan) => Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  51. def flatMap[A](f: (SparkPlan) => TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  52. def foreach(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  53. def foreachUp(f: (SparkPlan) => Unit): Unit
    Definition Classes
    TreeNode
  54. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  55. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) => Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  56. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  57. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  58. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  59. def groupPartitions(inputPartitions: Seq[InputPartition], groupSplits: Boolean = !conf.v2BucketingPushPartValuesEnabled || !conf.v2BucketingPartiallyClusteredDistributionEnabled): Option[Seq[(InternalRow, Seq[InputPartition])]]

    Group partition values for all the input partitions.

    Group partition values for all the input partitions. This returns Some iff:

    • SQLConf.V2_BUCKETING_ENABLED is turned on
    • all input partitions implement HasPartitionKey
    • keyGroupedPartitioning is set

    The result, if defined, is a list of tuples where the first element is a partition value, and the second element is a list of input partitions that share the same partition value.

    A non-empty result means each partition is clustered on a single key and therefore eligible for further optimizations to eliminate shuffling in some operations such as join and aggregate.

    Definition Classes
    DataSourceV2ScanExecBase
  60. lazy val groupedPartitions: Option[Seq[(InternalRow, Seq[InputPartition])]]
    Definition Classes
    DataSourceV2ScanExecBase
    Annotations
    @transient()
  61. def hashCode(): Int
    Definition Classes
    BatchScanExec → TreeNode → AnyRef → Any
  62. val id: Int
    Definition Classes
    SparkPlan
  63. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  66. lazy val inputPartitions: Seq[InputPartition]
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
    Annotations
    @transient()
  67. lazy val inputRDD: RDD[InternalRow]
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  68. def inputRDDs(): Seq[RDD[InternalRow]]
    Definition Classes
    DataSourceV2ScanExecBase
  69. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  70. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  71. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  72. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  73. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  74. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  75. val keyGroupedPartitioning: Option[Seq[Expression]]

    Optional partitioning expressions provided by the V2 data sources, through SupportsReportPartitioning

    Optional partitioning expressions provided by the V2 data sources, through SupportsReportPartitioning

    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  76. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  77. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  78. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  83. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  85. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  86. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  87. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  88. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  89. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  91. 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
  92. def map[A](f: (SparkPlan) => A): Seq[A]
    Definition Classes
    TreeNode
  93. final def mapChildren(f: (SparkPlan) => SparkPlan): SparkPlan
    Definition Classes
    LeafLike
  94. def mapExpressions(f: (Expression) => Expression): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  95. def mapProductIterator[B](f: (Any) => B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  96. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  97. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    DataSourceV2ScanExecBase → SparkPlan
  98. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  99. def multiTransformDown(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  100. def multiTransformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  101. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  102. def nodeName: String
    Definition Classes
    BatchScanExec → TreeNode
  103. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  104. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  105. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  106. def numberedTreeString: String
    Definition Classes
    TreeNode
  107. val ordering: Option[Seq[SortOrder]]

    Optional ordering expressions provided by the V2 data sources, through SupportsReportOrdering

    Optional ordering expressions provided by the V2 data sources, through SupportsReportOrdering

    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  108. val origin: Origin
    Definition Classes
    TreeNode
  109. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  110. val output: Seq[AttributeReference]
    Definition Classes
    BatchScanExec → QueryPlan
  111. def outputOrdering: Seq[SortOrder]
    Definition Classes
    DataSourceV2ScanExecBase → 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
    BatchScanExec → DataSourceV2ScanExecBase → SparkPlan
  113. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  114. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  115. def partitions: Seq[Seq[InputPartition]]
    Definition Classes
    DataSourceV2ScanExecBase
  116. def postDriverMetrics(): Unit
    Attributes
    protected
    Definition Classes
    DataSourceV2ScanExecBase
  117. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  118. 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
  119. def prettyJson: String
    Definition Classes
    TreeNode
  120. def printSchema(): Unit
    Definition Classes
    QueryPlan
  121. def producedAttributes: AttributeSet
    Definition Classes
    LeafExecNode → QueryPlan
  122. def productElementNames: Iterator[String]
    Definition Classes
    Product
  123. lazy val readerFactory: PartitionReaderFactory
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  124. def redact(text: String): String

    Shorthand for calling redact() without specifying redacting rules

    Shorthand for calling redact() without specifying redacting rules

    Attributes
    protected
    Definition Classes
    DataSourceV2ScanExecBase
  125. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  126. val replicatePartitions: Boolean
  127. 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
    SparkPlan
  128. 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
  129. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  130. def rewriteAttrs(attrMap: AttributeMap[Attribute]): SparkPlan
    Definition Classes
    QueryPlan
  131. val runtimeFilters: Seq[Expression]
  132. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  133. val scan: Scan
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  134. lazy val schema: StructType
    Definition Classes
    QueryPlan
  135. def schemaString: String
    Definition Classes
    QueryPlan
  136. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  137. final val session: SparkSession
    Definition Classes
    SparkPlan
  138. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  139. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  140. def simpleString(maxFields: Int): String
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase → QueryPlan → TreeNode
  141. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  142. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  143. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  144. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  145. lazy val subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  146. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  147. 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
    DataSourceV2ScanExecBase → SparkPlan
  148. 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
  149. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  150. val table: Table
  151. def toJSON: String
    Definition Classes
    TreeNode
  152. 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
  153. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  154. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  155. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  156. def transformAllExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  157. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  158. def transformDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  159. def transformDownWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  160. def transformDownWithSubqueriesAndPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  161. def transformExpressions(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  162. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  163. def transformExpressionsDownWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  164. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  165. def transformExpressionsUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  166. def transformExpressionsWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  167. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  168. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (SparkPlan) => Boolean, ruleId: RuleId)(rule: PartialFunction[(SparkPlan, SparkPlan), SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  169. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) => Boolean, canGetOutput: (SparkPlan) => Boolean): SparkPlan
    Definition Classes
    QueryPlan
  170. def transformUpWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  171. def transformUpWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  172. def transformWithPruning(cond: (TreePatternBits) => Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  173. def transformWithSubqueries(f: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    QueryPlan
  174. lazy val treePatternBits: BitSet
    Definition Classes
    QueryPlan → TreeNode → TreePatternBits
  175. def treeString(append: (String) => Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  176. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  177. final def treeString: String
    Definition Classes
    TreeNode
  178. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  179. def updateOuterReferencesInSubquery(plan: SparkPlan, attrMap: AttributeMap[Attribute]): SparkPlan
    Attributes
    protected
    Definition Classes
    QueryPlan
  180. 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
  181. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  182. def verboseStringWithOperatorId(): String
    Definition Classes
    DataSourceV2ScanExecBase → LeafExecNode → QueryPlan
  183. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  184. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  185. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  186. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  187. 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
  188. final def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  189. def withNewChildrenInternal(newChildren: IndexedSeq[SparkPlan]): SparkPlan
    Definition Classes
    LeafLike

Inherited from DataSourceV2ScanExecBase

Inherited from LeafExecNode

Inherited from LeafLike[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