Packages

case class BatchScanExec(output: Seq[AttributeReference], scan: Scan, runtimeFilters: Seq[Expression], ordering: Option[Seq[SortOrder]] = None, table: Table, spjParams: StoragePartitionJoinParams = StoragePartitionJoinParams()) 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, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], WithOrigin, TreePatternBits, Product, Equals, AnyRef, Any
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Inherited
  1. BatchScanExec
  2. DataSourceV2ScanExecBase
  3. LeafExecNode
  4. LeafLike
  5. SparkPlan
  6. Serializable
  7. Serializable
  8. Logging
  9. QueryPlan
  10. SQLConfHelper
  11. TreeNode
  12. WithOrigin
  13. TreePatternBits
  14. Product
  15. Equals
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BatchScanExec(output: Seq[AttributeReference], scan: Scan, runtimeFilters: Seq[Expression], ordering: Option[Seq[SortOrder]] = None, table: Table, spjParams: StoragePartitionJoinParams = StoragePartitionJoinParams())

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. lazy val batch: Batch
    Annotations
    @transient()
  10. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  11. final def children: Seq[SparkPlan]
    Definition Classes
    LeafLike
  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. lazy val customMetrics: Map[String, SQLMetric]
    Definition Classes
    DataSourceV2ScanExecBase
  25. lazy val deterministic: Boolean
    Definition Classes
    QueryPlan
  26. def doCanonicalize(): BatchScanExec
    Definition Classes
    BatchScanExec → 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.

    Definition Classes
    DataSourceV2ScanExecBase → 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.

    Definition Classes
    DataSourceV2ScanExecBase → 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. def equals(other: Any): Boolean
    Definition Classes
    BatchScanExec → Equals → AnyRef → Any
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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).

  43. 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
  44. def exists(f: (SparkPlan) ⇒ Boolean): Boolean
    Definition Classes
    TreeNode
  45. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  46. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  47. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  48. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  49. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  50. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  51. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  52. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  53. 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
  54. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  55. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  56. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  57. def groupPartitions(inputPartitions: Seq[InputPartition], groupSplits: Boolean = ...): 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
  58. lazy val groupedPartitions: Option[Seq[(InternalRow, Seq[InputPartition])]]
    Definition Classes
    DataSourceV2ScanExecBase
    Annotations
    @transient()
  59. def hashCode(): Int
    Definition Classes
    BatchScanExec → TreeNode → AnyRef → Any
  60. val id: Int
    Definition Classes
    SparkPlan
  61. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  62. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  64. lazy val inputPartitions: Seq[InputPartition]
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
    Annotations
    @transient()
  65. lazy val inputRDD: RDD[InternalRow]
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  66. def inputRDDs(): Seq[RDD[InternalRow]]
    Definition Classes
    DataSourceV2ScanExecBase
  67. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  68. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  69. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  70. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  71. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  72. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  73. def 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
  74. final def legacyWithNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Attributes
    protected
    Definition Classes
    TreeNode
  75. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  76. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  83. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  85. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  86. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  87. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  89. 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
  90. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  91. final def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    LeafLike
  92. def mapExpressions(f: (Expression) ⇒ Expression): BatchScanExec.this.type
    Definition Classes
    QueryPlan
  93. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  94. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  95. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    DataSourceV2ScanExecBase → SparkPlan
  96. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  97. def multiTransformDown(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  98. def multiTransformDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[SparkPlan, Seq[SparkPlan]]): Stream[SparkPlan]
    Definition Classes
    TreeNode
  99. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  100. def nodeName: String
    Definition Classes
    BatchScanExec → TreeNode
  101. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  102. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  103. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  104. def numberedTreeString: String
    Definition Classes
    TreeNode
  105. 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
  106. val origin: Origin
    Definition Classes
    TreeNode → WithOrigin
  107. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  108. val output: Seq[AttributeReference]
    Definition Classes
    BatchScanExec → QueryPlan
  109. def outputOrdering: Seq[SortOrder]
    Definition Classes
    DataSourceV2ScanExecBase → QueryPlan
  110. 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
  111. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  112. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  113. def partitions: Seq[Seq[InputPartition]]
    Definition Classes
    DataSourceV2ScanExecBase
  114. def postDriverMetrics(): Unit
    Attributes
    protected
    Definition Classes
    DataSourceV2ScanExecBase
  115. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  116. def prepareSubqueries(): Unit

    Finds scalar subquery expressions in this plan node and starts evaluating them.

    Finds scalar subquery expressions in this plan node and starts evaluating them.

    Attributes
    protected
    Definition Classes
    SparkPlan
  117. def prettyJson: String
    Definition Classes
    TreeNode
  118. def printSchema(): Unit
    Definition Classes
    QueryPlan
  119. def producedAttributes: AttributeSet
    Definition Classes
    LeafExecNode → QueryPlan
  120. lazy val readerFactory: PartitionReaderFactory
    Definition Classes
    BatchScanExec → DataSourceV2ScanExecBase
  121. 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
  122. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  123. 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
  124. 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
  125. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

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

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

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