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org.apache.spark.sql.execution

RowToColumnarExec

case class RowToColumnarExec(child: SparkPlan) extends SparkPlan with UnaryExecNode with Product with Serializable

Provides a common executor to translate an RDD of InternalRow into an RDD of ColumnarBatch. This is inserted whenever such a transition is determined to be needed.

This is similar to some of the code in ArrowConverters.scala and org.apache.spark.sql.execution.arrow.ArrowWriter. That code is more specialized to convert InternalRow to Arrow formatted data, but in the future if we make OffHeapColumnVector internally Arrow formatted we may be able to replace much of that code.

This is also similar to org.apache.spark.sql.execution.vectorized.ColumnVectorUtils.populate() and org.apache.spark.sql.execution.vectorized.ColumnVectorUtils.toBatch() toBatch is only ever called from tests and can probably be removed, but populate is used by both Orc and Parquet to initialize partition and missing columns. There is some chance that we could replace populate with RowToColumnConverter, but the performance requirements are different and it would only be to reduce code.

Linear Supertypes
UnaryExecNode, SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], TreeNode[SparkPlan], Product, Equals, AnyRef, Any
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Inherited
  1. RowToColumnarExec
  2. UnaryExecNode
  3. SparkPlan
  4. Serializable
  5. Serializable
  6. Logging
  7. QueryPlan
  8. TreeNode
  9. Product
  10. Equals
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RowToColumnarExec(child: SparkPlan)

Value Members

  1. lazy val allAttributes: AttributeSeq
    Definition Classes
    QueryPlan
  2. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  3. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  4. def asCode: String
    Definition Classes
    TreeNode
  5. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  6. val child: SparkPlan
    Definition Classes
    RowToColumnarExec → UnaryExecNode
  7. final def children: Seq[SparkPlan]
    Definition Classes
    UnaryExecNode → TreeNode
  8. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  9. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  10. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  11. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  12. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  13. def conf: SQLConf
    Definition Classes
    QueryPlan
  14. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  15. 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
    RowToColumnarExec → SparkPlan
  16. 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.

    Definition Classes
    RowToColumnarExec → SparkPlan
  17. 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
    RowToColumnarExec → SparkPlan
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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).

  26. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  27. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  28. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  29. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  30. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  31. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  32. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean): Unit
    Definition Classes
    TreeNode
  33. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  34. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  35. val id: Int
    Definition Classes
    SparkPlan
  36. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  37. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  38. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

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

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  40. 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
  41. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  42. def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    TreeNode
  43. def mapExpressions(f: (Expression) ⇒ Expression): RowToColumnarExec.this.type
    Definition Classes
    QueryPlan
  44. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    RowToColumnarExec → SparkPlan
  45. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  46. def nodeName: String
    Definition Classes
    TreeNode
  47. def numberedTreeString: String
    Definition Classes
    TreeNode
  48. val origin: Origin
    Definition Classes
    TreeNode
  49. def output: Seq[Attribute]
    Definition Classes
    RowToColumnarExec → QueryPlan
  50. def outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    RowToColumnarExec → SparkPlan
  51. 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.

    Definition Classes
    RowToColumnarExec → SparkPlan
  52. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  53. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  54. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  55. def prettyJson: String
    Definition Classes
    TreeNode
  56. def printSchema(): Unit
    Definition Classes
    QueryPlan
  57. def producedAttributes: AttributeSet
    Definition Classes
    QueryPlan
  58. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  59. 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
  60. 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
  61. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  62. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  63. lazy val schema: StructType
    Definition Classes
    QueryPlan
  64. def schemaString: String
    Definition Classes
    QueryPlan
  65. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  66. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  67. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  68. def simpleString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  69. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  70. final val sqlContext: SQLContext

    A handle to the SQL Context that was used to create this plan.

    A handle to the SQL Context that was used to create this plan. Since many operators need access to the sqlContext for RDD operations or configuration this field is automatically populated by the query planning infrastructure.

    Definition Classes
    SparkPlan
  71. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  72. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  73. 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.

    Definition Classes
    RowToColumnarExec → SparkPlan
  74. def toJSON: String
    Definition Classes
    TreeNode
  75. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  76. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  77. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): RowToColumnarExec.this.type
    Definition Classes
    QueryPlan
  78. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  79. def transformExpressions(rule: PartialFunction[Expression, Expression]): RowToColumnarExec.this.type
    Definition Classes
    QueryPlan
  80. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): RowToColumnarExec.this.type
    Definition Classes
    QueryPlan
  81. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): RowToColumnarExec.this.type
    Definition Classes
    QueryPlan
  82. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  83. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  84. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  85. final def treeString: String
    Definition Classes
    TreeNode
  86. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  87. 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
  88. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  89. def verboseStringWithOperatorId(): String
    Definition Classes
    UnaryExecNode → QueryPlan
  90. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  91. def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode