Object/Class

org.apache.spark.sql

CachedDataFrame

Related Docs: class CachedDataFrame | package sql

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

Linear Supertypes
Logging, KryoSerializable, Serializable, Serializable, (TaskContext, Iterator[InternalRow], Long) ⇒ PartitionResult, AnyRef, Any
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Inherited
  1. CachedDataFrame
  2. Logging
  3. KryoSerializable
  4. Serializable
  5. Serializable
  6. Function3
  7. AnyRef
  8. Any
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Value Members

  1. final def !=(arg0: Any): Boolean

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

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

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    Definition Classes
    AnyRef → Any
  4. def apply(context: TaskContext, iter: Iterator[InternalRow], broadcastId: Long): PartitionResult

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    Definition Classes
    CachedDataFrame → Function3
  5. def apply(cdf: CachedDataFrame): (TaskContext, Iterator[InternalRow]) ⇒ PartitionResult

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def catalogStaleFailure(cause: Throwable, session: SnappySession): Exception

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  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. var compressionCodecName: String

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

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    Definition Classes
    Function3
    Annotations
    @unspecialized()
  11. def decodeUnsafeRows(numFields: Int, data: Array[Byte], offset: Int, dataLen: Int): Iterator[UnsafeRow]

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    Decode the byte arrays back to UnsafeRows and return an iterator over the resulting rows.

  12. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  17. def initializeLogIfNecessary(): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  18. def isConnectorCatalogStaleException(t: Throwable, session: SnappySession): Boolean

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  19. final def isDebugEnabled: Boolean

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    Definition Classes
    Logging
  20. final def isInfoEnabled: Boolean

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    Definition Classes
    Logging
  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  22. final def isTraceEnabled: Boolean

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    Definition Classes
    Logging
  23. final var levelFlags: Int

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    Attributes
    protected
    Definition Classes
    Logging
  24. def localBlockStoreDecoder(numFields: Int, bm: BlockManager)(block: Any): Iterator[UnsafeRow]

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  25. def localBlockStoreResultHandler(rddId: Int, bm: BlockManager, cdf: CachedDataFrame)(partitionId: Int, result: (Array[Byte], Int)): Any

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  26. def log: Logger

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

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    Definition Classes
    Logging
  28. def logDebug(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  29. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Definition Classes
    Logging
  30. def logError(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  31. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Definition Classes
    Logging
  32. def logInfo(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  33. def logName: String

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

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    Definition Classes
    Logging
  35. def logTrace(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  36. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Definition Classes
    Logging
  37. def logWarning(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  38. final var log_: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  39. var maxMemoryResultSize: Long

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    size beyond which result data will be written to disk

  40. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  41. final def notify(): Unit

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    Definition Classes
    AnyRef
  42. final def notifyAll(): Unit

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

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    Definition Classes
    CachedDataFrame → KryoSerializable
  44. def resetLogger(): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  45. def retryOnStaleCatalogException[T](retryCount: Int = 10, snappySession: SnappySession)(codeToExecute: ⇒ T): T

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  46. var sparkConf: SparkConf

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

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    Definition Classes
    AnyRef
  48. def toString(): String

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    Definition Classes
    CachedDataFrame → Function3 → AnyRef → Any
  49. def tupled: ((TaskContext, Iterator[InternalRow], Long)) ⇒ PartitionResult

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    Definition Classes
    Function3
    Annotations
    @unspecialized()
  50. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  53. def withCallback[U](session: SparkSession, df: DataFrame, queryExecution: QueryExecution, name: String)(action: (DataFrame) ⇒ (U, Long)): U

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    Wrap a Dataset action to track the QueryExecution and time cost, then report to the user-registered callback functions.

  54. def withNewExecutionId[T](snappySession: SnappySession, queryShortForm: String, queryLongForm: String, queryExecutionStr: String, queryPlanInfo: SparkPlanInfo, plan: SparkPlan, currentExecutionId: Long = 1L, planEndTime: Long = 1L, postGUIPlans: Boolean = true, removeBroadcastsFromDriver: Boolean = false)(body: ⇒ T): (T, Long)

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    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.

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

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    Definition Classes
    CachedDataFrame → KryoSerializable

Inherited from Logging

Inherited from KryoSerializable

Inherited from Serializable

Inherited from Serializable

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

Inherited from AnyRef

Inherited from Any

Ungrouped