CachedDataFrame

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

Definition Classes
AnyRef → Any
val MIN_LOCAL_BLOCK_SIZE: Int

Minimum size of block beyond which data will be stored in BlockManager before being consumed to store data from multiple partitions safely.
def apply(context: TaskContext, iter: Iterator[InternalRow]): PartitionResult

Definition Classes
CachedDataFrame → Function2
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
var compressionCodec: String
def curried: (TaskContext) ⇒ (Iterator[InternalRow]) ⇒ PartitionResult

Definition Classes
Function2
Annotations
@unspecialized()
def decodeUnsafeRows(numFields: Int, data: Array[Byte], offset: Int, dataLen: Int): Iterator[UnsafeRow]

Decode the byte arrays back to UnsafeRows and put them into buffer.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def initializeLogIfNecessary(): Unit

Attributes
protected
Definition Classes
Logging
final def isDebugEnabled: Boolean

Attributes
protected
Definition Classes
Logging
final def isInfoEnabled: Boolean

Attributes
protected
Definition Classes
Logging
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def isTraceEnabled: Boolean

Attributes
protected
Definition Classes
Logging
final var levelFlags: Int

Attributes
protected
Definition Classes
Logging
def localBlockStoreDecoder(numFields: Int, bm: BlockManager)(block: Any): Iterator[UnsafeRow]
def localBlockStoreResultHandler(rddId: Int, bm: BlockManager)(partitionId: Int, data: Array[Byte]): Any
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
final var log_: Logger

Attributes
protected
Definition Classes
Logging
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def read(kryo: Kryo, input: Input): Unit

Definition Classes
CachedDataFrame → KryoSerializable
def resetLogger(): Unit

Attributes
protected
Definition Classes
Logging
var sparkConf: SparkConf
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
CachedDataFrame → Function2 → AnyRef → Any
def tupled: ((TaskContext, Iterator[InternalRow])) ⇒ PartitionResult

Definition Classes
Function2
Annotations
@unspecialized()
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 withCallback[U](session: SparkSession, df: DataFrame, name: String)(action: (DataFrame) ⇒ (U, Long)): U

Wrap a Dataset action to track the QueryExecution and time cost, then report to the user-registered callback functions.
def withNewExecutionId[T](snappySession: SnappySession, queryShortForm: String, queryLongForm: String, queryExecutionStr: String, queryPlanInfo: SparkPlanInfo, currentExecutionId: Long = 1L, planStartTime: Long = 1L, planEndTime: Long = 1L)(body: ⇒ T): (T, Long)

Wrap an action that will execute "queryExecution" to track all Spark jobs in the body so that we can connect them with an execution.
Wrap an action that will execute "queryExecution" to track all Spark jobs in the body so that we can connect them with an execution.
Custom method to allow passing in cached SparkPlanInfo and queryExecution string.
def write(kryo: Kryo, output: Output): Unit

Definition Classes
CachedDataFrame → KryoSerializable

Related Docs: class CachedDataFrame | package sql

object CachedDataFrame extends (TaskContext, Iterator[InternalRow]) ⇒ PartitionResult with Serializable with KryoSerializable with Logging

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val MIN_LOCAL_BLOCK_SIZE: Int

def apply(context: TaskContext, iter: Iterator[InternalRow]): PartitionResult

final def asInstanceOf[T0]: T0

def clone(): AnyRef

var compressionCodec: String

def curried: (TaskContext) ⇒ (Iterator[InternalRow]) ⇒ PartitionResult

def decodeUnsafeRows(numFields: Int, data: Array[Byte], offset: Int, dataLen: Int): Iterator[UnsafeRow]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def initializeLogIfNecessary(): Unit

final def isDebugEnabled: Boolean

final def isInfoEnabled: Boolean

final def isInstanceOf[T0]: Boolean

final def isTraceEnabled: Boolean

final var levelFlags: Int

def localBlockStoreDecoder(numFields: Int, bm: BlockManager)(block: Any): Iterator[UnsafeRow]

def localBlockStoreResultHandler(rddId: Int, bm: BlockManager)(partitionId: Int, data: Array[Byte]): Any

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

final var log_: Logger

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def read(kryo: Kryo, input: Input): Unit

def resetLogger(): Unit

var sparkConf: SparkConf

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

def toString(): String

def tupled: ((TaskContext, Iterator[InternalRow])) ⇒ PartitionResult

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withCallback[U](session: SparkSession, df: DataFrame, name: String)(action: (DataFrame) ⇒ (U, Long)): U

def withNewExecutionId[T](snappySession: SnappySession, queryShortForm: String, queryLongForm: String, queryExecutionStr: String, queryPlanInfo: SparkPlanInfo, currentExecutionId: Long = 1L, planStartTime: Long = 1L, planEndTime: Long = 1L)(body: ⇒ T): (T, Long)

def write(kryo: Kryo, output: Output): Unit

Inherited from Logging

Inherited from KryoSerializable

Inherited from Serializable

Inherited from Serializable

Inherited from (TaskContext, Iterator[InternalRow]) ⇒ PartitionResult

Inherited from AnyRef

Inherited from Any

Ungrouped