Class

ai.chronon.spark

TableUtils

Related Doc: package spark

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case class TableUtils(sparkSession: SparkSession) extends Product with Serializable

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  1. TableUtils
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  4. Product
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Instance Constructors

  1. new TableUtils(sparkSession: SparkSession)

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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. def archiveTableIfExists(tableName: String, timestamp: Instant): Unit

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  5. final def asInstanceOf[T0]: T0

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  6. def chunk(partitions: Set[String]): Seq[PartitionRange]

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  7. def clone(): AnyRef

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    @throws( ... )

  8. def dropPartitionRange(tableName: String, startDate: String, endDate: String): Unit

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  9. def dropPartitions(tableName: String, partitions: Seq[String], partitionColumn: String = Constants.PartitionColumn, labelPartition: Option[String] = None): Unit

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  10. def dropTableIfExists(tableName: String): Unit

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

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  12. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  13. def firstAvailablePartition(tableName: String, subPartitionFilters: Map[String, String] = Map.empty): Option[String]

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  14. final def getClass(): Class[_]

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  15. def getColumnsFromQuery(query: String): Seq[String]

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  16. def getSchemaFromTable(tableName: String): StructType

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  17. def getTableProperties(tableName: String): Option[Map[String, String]]

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  18. def insertPartitions(df: DataFrame, tableName: String, tableProperties: Map[String, String] = null, partitionColumns: Seq[String] = Seq(Constants.PartitionColumn), saveMode: SaveMode = SaveMode.Overwrite, fileFormat: String = "PARQUET", autoExpand: Boolean = false): Unit

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  19. def insertUnPartitioned(df: DataFrame, tableName: String, tableProperties: Map[String, String] = null, saveMode: SaveMode = SaveMode.Overwrite, fileFormat: String = "PARQUET"): Unit

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  20. final def isInstanceOf[T0]: Boolean

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  21. def lastAvailablePartition(tableName: String, subPartitionFilters: Map[String, String] = Map.empty): Option[String]

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

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. def parsePartition(pstring: String): Map[String, String]

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  26. def partitions(tableName: String, subPartitionsFilter: Map[String, String] = Map.empty): Seq[String]

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  27. val sparkSession: SparkSession

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  28. def sql(query: String): DataFrame

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

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  30. def unfilledRanges(outputTable: String, partitionRange: PartitionRange, inputTables: Option[Seq[String]] = None, inputTableToSubPartitionFiltersMap: Map[String, Map[String, String]] = Map.empty): Option[Seq[PartitionRange]]

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  31. final def wait(): Unit

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

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  33. final def wait(arg0: Long): Unit

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Deprecated Value Members

  1. def dropPartitionsAfterHole(inputTable: String, outputTable: String, partitionRange: PartitionRange, labelPartition: Map[String, String] = Map.empty): Option[String]

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    @deprecated
    Deprecated

  2. def unfilledRange(outputTable: String, partitionRange: PartitionRange, inputTable: Option[String] = None, inputSubPartitionFilters: Map[String, String] = Map.empty): Option[PartitionRange]

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    @deprecated
    Deprecated

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