HasHadoopStandardFilestore

abstract def listPartitions(implicit session: SparkSession, context: ActionPipelineContext): Seq[PartitionValues]

list partition values

abstract def partitions: Seq[String]

Definition of partition columns

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def partitionLayout(): Option[String]

Return a String specifying the partition layout.

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

def toString(): String

def validateSchemaHasPartitionCols(df: DataFrame, role: String): Unit

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

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit