Packages

t

org.apache.spark.sql.delta.files

TransactionalWrite

trait TransactionalWrite extends DeltaLogging

Adds the ability to write files out as part of a transaction. Checks are performed to ensure that the data being written matches either the current metadata or the new metadata being set by this transaction.

Self Type
OptimisticTransactionImpl
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  1. TransactionalWrite
  2. DeltaLogging
  3. DatabricksLogging
  4. DeltaProgressReporter
  5. Logging
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Abstract Value Members

  1. abstract def deltaLog: DeltaLog
  2. abstract def metadata: Metadata
    Attributes
    protected
  3. abstract def protocol: Protocol
  4. abstract def snapshot: Snapshot
    Attributes
    protected

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]
    Definition Classes
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    Annotations
    @native()
  10. def getCommitter(outputPath: Path): DelayedCommitProtocol
    Attributes
    protected
  11. def getPartitioningColumns(partitionSchema: StructType, output: Seq[Attribute], colsDropped: Boolean): Seq[Attribute]
    Attributes
    protected
  12. val hasWritten: Boolean
    Attributes
    protected
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  15. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  18. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  19. def logConsole(line: String): Unit
    Definition Classes
    DatabricksLogging
  20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  21. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  22. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  23. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  24. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  26. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  27. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  28. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  29. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  30. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def makeOutputNullable(output: Seq[Attribute]): Seq[Attribute]

    Makes the output attributes nullable, so that we don't write unreadable parquet files.

    Makes the output attributes nullable, so that we don't write unreadable parquet files.

    Attributes
    protected
  32. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  33. def normalizeData(data: Dataset[_], partitionCols: Seq[String]): (QueryExecution, Seq[Attribute])

    Normalize the schema of the query, and return the QueryExecution to execute.

    Normalize the schema of the query, and return the QueryExecution to execute. The output attributes of the QueryExecution may not match the attributes we return as the output schema. This is because streaming queries create IncrementalExecution, which cannot be further modified. We can however have the Parquet writer use the physical plan from IncrementalExecution and the output schema provided through the attributes.

    Attributes
    protected
  34. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  35. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  36. def recordDeltaEvent(deltaLog: DeltaLog, opType: String, tags: Map[TagDefinition, String] = Map.empty, data: AnyRef = null): Unit

    Used to record the occurrence of a single event or report detailed, operation specific statistics.

    Used to record the occurrence of a single event or report detailed, operation specific statistics.

    Attributes
    protected
    Definition Classes
    DeltaLogging
  37. def recordDeltaOperation[A](deltaLog: DeltaLog, opType: String, tags: Map[TagDefinition, String] = Map.empty)(thunk: ⇒ A): A

    Used to report the duration as well as the success or failure of an operation.

    Used to report the duration as well as the success or failure of an operation.

    Attributes
    protected
    Definition Classes
    DeltaLogging
  38. def recordEvent(metric: MetricDefinition, additionalTags: Map[TagDefinition, String] = Map.empty, blob: String = null, trimBlob: Boolean = true): Unit
    Definition Classes
    DatabricksLogging
  39. def recordOperation[S](opType: OpType, opTarget: String = null, extraTags: Map[TagDefinition, String], isSynchronous: Boolean = true, alwaysRecordStats: Boolean = false, allowAuthTags: Boolean = false, killJvmIfStuck: Boolean = false, outputMetric: MetricDefinition = null, silent: Boolean = true)(thunk: ⇒ S): S
    Definition Classes
    DatabricksLogging
  40. def recordUsage(metric: MetricDefinition, quantity: Double, additionalTags: Map[TagDefinition, String] = Map.empty, blob: String = null, forceSample: Boolean = false, trimBlob: Boolean = true, silent: Boolean = false): Unit
    Definition Classes
    DatabricksLogging
  41. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  42. def toString(): String
    Definition Classes
    AnyRef → Any
  43. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  46. def withStatusCode[T](statusCode: String, defaultMessage: String, data: Map[String, Any] = Map.empty)(body: ⇒ T): T

    Report a log to indicate some command is running.

    Report a log to indicate some command is running.

    Definition Classes
    DeltaProgressReporter
  47. def writeFiles(data: Dataset[_], writeOptions: Option[DeltaOptions], isOptimize: Boolean): Seq[AddFile]

    Writes out the dataframe after performing schema validation.

    Writes out the dataframe after performing schema validation. Returns a list of actions to append these files to the reservoir.

  48. def writeFiles(data: Dataset[_], isOptimize: Boolean): Seq[AddFile]
  49. def writeFiles(data: Dataset[_], writeOptions: Option[DeltaOptions]): Seq[AddFile]
  50. def writeFiles(data: Dataset[_]): Seq[AddFile]

Inherited from DeltaLogging

Inherited from DatabricksLogging

Inherited from DeltaProgressReporter

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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