t

io.smartdatalake.workflow.dataobject

HasHadoopStandardFilestore

trait HasHadoopStandardFilestore extends CanHandlePartitions

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HasHadoopStandardFilestore with DataObject
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Abstract Value Members

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

    list partition values

    list partition values

    Definition Classes
    CanHandlePartitions
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    @Scaladoc()
  2. abstract def partitions: Seq[String]

    Definition of partition columns

    Definition of partition columns

    Definition Classes
    CanHandlePartitions
    Annotations
    @Scaladoc()

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
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  8. final def getClass(): Class[_]
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  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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  13. final def notifyAll(): Unit
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  14. def partitionLayout(): Option[String]

    Return a String specifying the partition layout.

    Return a String specifying the partition layout. For Hadoop the default partition layout is colname1=<value1>/colname2=<value2>/.../

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    @Scaladoc()
  15. final def synchronized[T0](arg0: ⇒ T0): T0
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  16. def toString(): String
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  17. 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.

    Definition Classes
    CanHandlePartitions
    Annotations
    @Scaladoc()
    Exceptions thrown

    SchemaViolationException if the partitions columns are not included.

  18. 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.

    Definition Classes
    CanHandlePartitions
    Annotations
    @Scaladoc()
    Exceptions thrown

    SchemaViolationException if the partitions columns are not included.

  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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  21. final def wait(): Unit
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  1. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from CanHandlePartitions

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