t

io.smartdatalake.workflow.dataobject

CanHandlePartitions

trait CanHandlePartitions extends AnyRef

A trait to be implemented by DataObjects which store partitioned data

Self Type
CanHandlePartitions with DataObject
Annotations
@Scaladoc() @DeveloperApi()
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AnyRef, Any
Known Subclasses
HasHadoopStandardFilestore, HiveTableDataObject, JdbcTableDataObject, TickTockHiveTableDataObject
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Abstract Value Members

  1. abstract def listPartitions(implicit context: ActionPipelineContext): Seq[PartitionValues]

    list partition values

    list partition values

    Annotations
    @Scaladoc()
  2. abstract def partitions: Seq[String]

    Definition of partition columns

    Definition of partition columns

    Annotations
    @Scaladoc()

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. final def getClass(): Class[_]
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    @native() @HotSpotIntrinsicCandidate()
  9. def hashCode(): Int
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  10. final def isInstanceOf[T0]: Boolean
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  11. final def ne(arg0: AnyRef): Boolean
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  12. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  13. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  14. final def synchronized[T0](arg0: ⇒ T0): T0
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  15. def toString(): String
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  16. def validateSchemaHasPartitionCols(df: DataFrame, role: String): Unit

    Validate the schema of a given Spark Data Frame df that it contains the specified partition columns

    Validate the schema of a given Spark Data Frame df that it contains the specified partition columns

    df

    The data frame to validate.

    role

    role used in exception message. Set to read or write.

    Annotations
    @Scaladoc()
    Exceptions thrown

    SchemaViolationException if the partitions columns are not included.

  17. def validateSchemaHasPrimaryKeyCols(df: DataFrame, primaryKeyCols: Seq[String], role: String): Unit

    Validate the schema of a given Spark Data Frame df that it contains the specified primary key columns

    Validate the schema of a given Spark Data Frame df that it contains the specified primary key columns

    df

    The data frame to validate.

    role

    role used in exception message. Set to read or write.

    Annotations
    @Scaladoc()
    Exceptions thrown

    SchemaViolationException if the partitions columns are not included.

  18. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  19. final def wait(arg0: Long): Unit
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  20. final def wait(): Unit
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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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