HiveTableScan

Instance Constructors

new HiveTableScan(requestedAttributes: Seq[Attribute], relation: MetastoreRelation, partitionPruningPred: Option[Expression])(context: HiveContext)

requestedAttributes
Attributes to be fetched from the Hive table.
relation
The Hive table be be scanned.
partitionPruningPred
An optional partition pruning predicate for partitioned table.

Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def ==(arg0: Any): Boolean

Definition Classes
Any
def apply(number: Int): SparkPlan

Definition Classes
TreeNode
def argString: String

Definition Classes
TreeNode
def asCode: String

Definition Classes
TreeNode
final def asInstanceOf[T0]: T0

Definition Classes
Any
val attributes: Seq[AttributeReference]
def children: Nil.type

Definition Classes
LeafNode
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val codegenEnabled: Boolean

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

Definition Classes
TreeNode
val context: HiveContext
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def execute(): RDD[catalyst.expressions.Row]

Runs this query returning the result as an RDD.
Runs this query returning the result as an RDD.

Definition Classes
HiveTableScan → SparkPlan
def executeCollect(): Array[catalyst.expressions.Row]

Runs this query returning the result as an array.
Runs this query returning the result as an array.

Definition Classes
SparkPlan
def expressions: Seq[Expression]

Definition Classes
QueryPlan
def fastEquals(other: TreeNode[_]): Boolean

Definition Classes
TreeNode
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]

Definition Classes
TreeNode
def foreach(f: (SparkPlan) ⇒ Unit): Unit

Definition Classes
TreeNode
def generateTreeString(depth: Int, builder: StringBuilder): StringBuilder

Attributes
protected
Definition Classes
TreeNode
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getNodeNumbered(number: MutableInt): SparkPlan

Attributes
protected
Definition Classes
TreeNode
def inputSet: AttributeSet

Definition Classes
QueryPlan
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def makeCopy(newArgs: Array[AnyRef]): HiveTableScan.this.type

Overridden make copy also propogates sqlContext to copied plan.
Overridden make copy also propogates sqlContext to copied plan.

Definition Classes
SparkPlan → TreeNode
def map[A](f: (SparkPlan) ⇒ A): Seq[A]

Definition Classes
TreeNode
def mapChildren(f: (SparkPlan) ⇒ SparkPlan): HiveTableScan.this.type

Definition Classes
TreeNode
def missingInput: AttributeSet

Definition Classes
QueryPlan
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def newMutableProjection(expressions: Seq[Expression], inputSchema: Seq[Attribute]): () ⇒ MutableProjection

Attributes
protected
Definition Classes
SparkPlan
def newOrdering(order: Seq[SortOrder], inputSchema: Seq[Attribute]): Ordering[catalyst.expressions.Row]

Attributes
protected
Definition Classes
SparkPlan
def newPredicate(expression: Expression, inputSchema: Seq[Attribute]): (catalyst.expressions.Row) ⇒ Boolean

Attributes
protected
Definition Classes
SparkPlan
def newProjection(expressions: Seq[Expression], inputSchema: Seq[Attribute]): Projection

Attributes
protected
Definition Classes
SparkPlan
def nodeName: String

Definition Classes
TreeNode
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numberedTreeString: String

Definition Classes
TreeNode
def otherCopyArgs: Seq[AnyRef]

Attributes
protected
Definition Classes
TreeNode
def output: Seq[AttributeReference]

Definition Classes
HiveTableScan → QueryPlan
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
SparkPlan
def outputSet: AttributeSet

Definition Classes
QueryPlan
val partitionPruningPred: Option[Expression]

An optional partition pruning predicate for partitioned table.
def printSchema(): Unit

Definition Classes
QueryPlan
def references: AttributeSet

Definition Classes
QueryPlan
val relation: MetastoreRelation

The Hive table be be scanned.
val requestedAttributes: Seq[Attribute]

Attributes to be fetched from the Hive table.
def requiredChildDistribution: Seq[Distribution]

Specifies any partition requirements on the input data for this operator.
Specifies any partition requirements on the input data for this operator.

Definition Classes
SparkPlan
def schema: catalyst.types.StructType

Definition Classes
QueryPlan
def schemaString: String

Definition Classes
QueryPlan
def simpleString: String

Definition Classes
QueryPlan → TreeNode
def sparkContext: SparkContext

Attributes
protected
Definition Classes
SparkPlan
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.

Attributes
protected[org.apache.spark]
Definition Classes
SparkPlan
def statePrefix: String

Attributes
protected
Definition Classes
QueryPlan
def stringArgs: Iterator[Any]

Attributes
protected
Definition Classes
TreeNode
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
TreeNode → AnyRef → Any
def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan

Definition Classes
TreeNode
def transformAllExpressions(rule: PartialFunction[Expression, Expression]): HiveTableScan.this.type

Definition Classes
QueryPlan
def transformChildrenDown(rule: PartialFunction[SparkPlan, SparkPlan]): HiveTableScan.this.type

Definition Classes
TreeNode
def transformChildrenUp(rule: PartialFunction[SparkPlan, SparkPlan]): HiveTableScan.this.type

Definition Classes
TreeNode
def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan

Definition Classes
TreeNode
def transformExpressions(rule: PartialFunction[Expression, Expression]): HiveTableScan.this.type

Definition Classes
QueryPlan
def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): HiveTableScan.this.type

Definition Classes
QueryPlan
def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): HiveTableScan.this.type

Definition Classes
QueryPlan
def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan

Definition Classes
TreeNode
def treeString: String

Definition Classes
TreeNode
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def withNewChildren(newChildren: Seq[SparkPlan]): HiveTableScan.this.type

Definition Classes
TreeNode

case class HiveTableScan(requestedAttributes: Seq[Attribute], relation: MetastoreRelation, partitionPruningPred: Option[Expression])(context: HiveContext) extends SparkPlan with LeafNode with Product with Serializable

Instance Constructors

new HiveTableScan(requestedAttributes: Seq[Attribute], relation: MetastoreRelation, partitionPruningPred: Option[Expression])(context: HiveContext)

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def apply(number: Int): SparkPlan

def argString: String

def asCode: String

final def asInstanceOf[T0]: T0

val attributes: Seq[AttributeReference]

def children: Nil.type

def clone(): AnyRef

val codegenEnabled: Boolean

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

val context: HiveContext

final def eq(arg0: AnyRef): Boolean

def execute(): RDD[catalyst.expressions.Row]

def executeCollect(): Array[catalyst.expressions.Row]

def expressions: Seq[Expression]

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

def finalize(): Unit

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

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

def generateTreeString(depth: Int, builder: StringBuilder): StringBuilder

final def getClass(): Class[_]

def getNodeNumbered(number: MutableInt): SparkPlan

def inputSet: AttributeSet

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

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 makeCopy(newArgs: Array[AnyRef]): HiveTableScan.this.type

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

def mapChildren(f: (SparkPlan) ⇒ SparkPlan): HiveTableScan.this.type

def missingInput: AttributeSet

final def ne(arg0: AnyRef): Boolean

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

def newOrdering(order: Seq[SortOrder], inputSchema: Seq[Attribute]): Ordering[catalyst.expressions.Row]

def newPredicate(expression: Expression, inputSchema: Seq[Attribute]): (catalyst.expressions.Row) ⇒ Boolean

def newProjection(expressions: Seq[Expression], inputSchema: Seq[Attribute]): Projection

def nodeName: String

final def notify(): Unit

final def notifyAll(): Unit

def numberedTreeString: String

def otherCopyArgs: Seq[AnyRef]

def output: Seq[AttributeReference]

def outputPartitioning: Partitioning

def outputSet: AttributeSet

val partitionPruningPred: Option[Expression]

def printSchema(): Unit

def references: AttributeSet

val relation: MetastoreRelation

val requestedAttributes: Seq[Attribute]

def requiredChildDistribution: Seq[Distribution]

def schema: catalyst.types.StructType

def schemaString: String

def simpleString: String

def sparkContext: SparkContext

val sqlContext: SQLContext

def statePrefix: String

def stringArgs: Iterator[Any]

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

def toString(): String

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

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