RowExec

abstract def canEqual(that: Any): Boolean

abstract def child: SparkPlan

abstract def connProps: ConnectionProperties

abstract def doProduce(ctx: CodegenContext): String

abstract def isPartitioned: Boolean

abstract def numBuckets: Int

abstract def onExecutor: Boolean

abstract def opType: String

abstract def partitionColumns: Seq[String]

abstract def partitionExpressions: Seq[Expression]

abstract def productArity: Int

abstract def productElement(n: Int): Any

abstract def relation: Option[DestroyRelation]

abstract def resolvedName: String

abstract def tableSchema: StructType

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

lazy val allAttributes: AttributeSeq

def apply(number: Int): TreeNode[_]

def argString: String

def asCode: String

final def asInstanceOf[T0]: T0

lazy val canonicalized: SparkPlan

final def children: Seq[SparkPlan]

lazy val cleanArgs: Seq[Any]

def cleanExpression(e: Expression): Expression

def clone(): AnyRef

def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]

def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]

def collectLeaves(): Seq[SparkPlan]

var connTerm: String

def connectionCodes(ctx: CodegenContext): (String, String, String)

lazy val constraints: ExpressionSet

final def consume(ctx: CodegenContext, outputVars: Seq[ExprCode], row: String): String

lazy val containsChild: Set[TreeNode[_]]

def doChildProduce(ctx: CodegenContext): String

def doConsume(ctx: CodegenContext, input: Seq[ExprCode], schema: StructType): String

def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row: ExprCode): String

def doExecute(): RDD[InternalRow]

def doExecuteBroadcast[T](): Broadcast[T]

def doPrepare(): Unit

def doProduce(ctx: CodegenContext, pstmtStr: String, produceAddonCode: () ⇒ String = () => ""): String

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def evaluateRequiredVariables(attributes: Seq[Attribute], variables: Seq[ExprCode], required: AttributeSet): String

def evaluateVariables(variables: Seq[ExprCode]): String

final def execute(): RDD[InternalRow]

def executeBatchCode(numOperations: String, numOpRowsMetric: String): String

final def executeBroadcast[T](): Broadcast[T]

def executeCollect(): Array[InternalRow]

def executeCollectPublic(): Array[Row]

final def executeQuery[T](query: ⇒ T): T

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

def executeToIterator(): Iterator[InternalRow]

final def expressions: Seq[Expression]

def fastEquals(other: TreeNode[_]): Boolean

def finalize(): Unit

def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]

def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]

def foreach(f: (SparkPlan) ⇒ Unit): Unit

def foreachUp(f: (SparkPlan) ⇒ Unit): Unit

def generateTreeString(depth: Int, lastChildren: Seq[Boolean], builder: StringBuilder, verbose: Boolean, prefix: String): StringBuilder

final def getClass(): Class[_]

def getRelevantConstraints(constraints: Set[Expression]): Set[Expression]

def getUpdateSchema(updateExpressions: Seq[Expression]): Seq[StructField]

def hashCode(): Int

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

def innerChildren: Seq[QueryPlan[_]]

def inputRDDs(): Seq[RDD[InternalRow]]

def inputSet: AttributeSet

final def invalidUUID: Long

def isInsert: Boolean

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

def jsonFields: List[JField]

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

def longMetric(name: String): SQLMetric

def makeCopy(newArgs: Array[AnyRef]): SparkPlan

def map[A](f: (SparkPlan) ⇒ A): Seq[A]

def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan

def mapExpressions(f: (Expression) ⇒ Expression): RowExec.this.type

def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]

def metadata: Map[String, String]

lazy val metricAdd: (String) ⇒ String

def metricTerm(ctx: CodegenContext, name: String): String

lazy val metricValue: (String) ⇒ String

lazy val metrics: Map[String, SQLMetric]

def missingInput: AttributeSet

final def ne(arg0: AnyRef): Boolean

def newMutableProjection(expressions: Seq[Expression], inputSchema: Seq[Attribute], useSubexprElimination: Boolean): MutableProjection

def newNaturalAscendingOrdering(dataTypes: Seq[DataType]): Ordering[InternalRow]

def newOrdering(order: Seq[SortOrder], inputSchema: Seq[Attribute]): Ordering[InternalRow]

def newPredicate(expression: Expression, inputSchema: Seq[Attribute]): Predicate

def nodeName: String

final def notify(): Unit

final def notifyAll(): Unit

def numberedTreeString: String

val origin: Origin

def otherCopyArgs: Seq[AnyRef]

lazy val output: Seq[Attribute]

def outputOrdering: Seq[SortOrder]

lazy val outputPartitioning: Partitioning

Specifies how data is partitioned for the table.

def outputSet: AttributeSet

def p(number: Int): SparkPlan

var parent: CodegenSupport

val partitioned: Boolean

final def prepare(): Unit

def prepareSubqueries(): Unit

def prettyJson: String

def printSchema(): Unit

final def produce(ctx: CodegenContext, parent: CodegenSupport): String

def produceOnExecutor(ctx: CodegenContext, parent: CodegenSupport): String

Returns Java source code to process the rows from input RDD that will work on executors too (assuming no sub-query processing required).

def producedAttributes: AttributeSet

def productIterator: Iterator[Any]

def productPrefix: String

def references: AttributeSet

def requiredChildDistribution: Seq[Distribution]

Specifies the partition requirements on the child.

def requiredChildOrdering: Seq[Seq[SortOrder]]

def resetMetrics(): Unit

var result: String

var rowCount: String

def sameResult(plan: SparkPlan): Boolean

lazy val schema: StructType

def schemaString: String

def simpleString: String

def sparkContext: SparkContext

final val sqlContext: SQLContext

def statePrefix: String

var stmt: String

def stringArgs: Iterator[Any]

val subexpressionEliminationEnabled: Boolean

def subqueries: Seq[SparkPlan]

def supportCodegen: Boolean

final def synchronized[T0](arg0: ⇒ T0): T0

def toJSON: String

def toString(): String

def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan

def transformAllExpressions(rule: PartialFunction[Expression, Expression]): RowExec.this.type

def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan

def transformExpressions(rule: PartialFunction[Expression, Expression]): RowExec.this.type

def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): RowExec.this.type

def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): RowExec.this.type

def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan

def treeString(verbose: Boolean): String

def treeString: String

def usedInputs: AttributeSet

def validConstraints: Set[Expression]

def verboseString: String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

def waitForSubqueries(): Unit

def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan