case class TableUtils(sparkSession: SparkSession) extends Product with Serializable
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Instance Constructors
- new TableUtils(sparkSession: SparkSession)
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- val aggregationParallelism: Int
- def allPartitions(tableName: String, partitionColumnsFilter: Seq[String] = Seq.empty): Seq[Map[String, String]]
- def alterTableProperties(tableName: String, properties: Map[String, String], unsetProperties: Seq[String] = Seq()): Unit
- def archiveOrDropTableIfExists(tableName: String, timestamp: Option[Instant]): Unit
- def archiveTableIfExists(tableName: String, timestamp: Option[Instant]): Unit
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val backfillValidationEnforced: Boolean
- val blockingCacheEviction: Boolean
- val bloomFilterThreshold: Long
- val cacheLevel: Option[StorageLevel]
- val cacheLevelString: String
- def checkTablePermission(tableName: String, fallbackPartition: String = partitionSpec.before(partitionSpec.at(System.currentTimeMillis())), partitionColOpt: Option[String] = None): Boolean
- val chrononAvroSchemaValidation: Boolean
- def chunk(partitions: Set[String]): Seq[PartitionRange]
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def columnSizeEstimator(dataType: DataType): Long
- def createDatabase(database: String): Boolean
- def dropPartitionRange(tableName: String, startDate: String, endDate: String, subPartitionFilters: Map[String, String] = Map.empty): Unit
- def dropPartitions(tableName: String, partitions: Seq[String], partitionColumn: String = partitionColumn, subPartitionFilters: Map[String, String] = Map.empty): Unit
- def dropTableIfExists(tableName: String): Unit
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
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- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.Throwable])
- def firstAvailablePartition(tableName: String, subPartitionFilters: Map[String, String] = Map.empty, partitionColOpt: Option[String] = None): Option[String]
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getColumnsFromQuery(query: String): Seq[String]
- def getFieldNames(schema: StructType): Seq[String]
- def getPartitionColumn(columnOpt: Option[String] = None): String
- def getPartitionColumn(q: Query): String
- def getSchemaFromTable(tableName: String): StructType
- def getTableProperties(tableName: String): Option[Map[String, String]]
- def insertPartitions(df: DataFrame, tableName: String, tableProperties: Map[String, String] = null, partitionColumns: Seq[String] = Seq(partitionColumn), saveMode: SaveMode = SaveMode.Overwrite, fileFormat: String = "PARQUET", autoExpand: Boolean = false, stats: Option[DfStats] = None, sortByCols: Seq[String] = Seq.empty): Unit
- def insertUnPartitioned(df: DataFrame, tableName: String, tableProperties: Map[String, String] = null, saveMode: SaveMode = SaveMode.Overwrite, fileFormat: String = "PARQUET"): Unit
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def isPartitioned(tableName: String, partitionColOpt: Option[String] = None): Boolean
- val joinPartParallelism: Int
- def lastAvailablePartition(tableName: String, subPartitionFilters: Map[String, String] = Map.empty, partitionColOpt: Option[String] = None): Option[String]
- def loadEntireTable(tableName: String): DataFrame
- lazy val logger: Logger
- Annotations
- @transient()
- val maxWait: Int
- val minWriteShuffleParallelism: Int
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- val partitionColumn: String
- val partitionSpec: PartitionSpec
- def partitions(tableName: String, subPartitionsFilter: Map[String, String] = Map.empty, partitionColOpt: Option[String] = None): Seq[String]
- def preAggRepartition(rdd: RDD[Row]): RDD[Row]
- def preAggRepartition(df: DataFrame): DataFrame
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- val smallModeNumRowsCutoff: Int
- val smallModelEnabled: Boolean
- val sparkSession: SparkSession
- def sql(query: String): DataFrame
- def sqlWithDefaultPartitionColumn(query: String, existingPartitionColumn: String): DataFrame
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def tableExists(tableName: String): Boolean
- def tableReadFormat(tableName: String): Format
- def unfilledRanges(outputTable: String, outputPartitionRange: PartitionRange, inputTables: Option[Seq[String]] = None, inputTableToSubPartitionFiltersMap: Map[String, Map[String, String]] = Map.empty, inputTableToPartitionColumnsMap: Map[String, String] = Map.empty, inputToOutputShift: Int = 0, skipFirstHole: Boolean = true): Option[Seq[PartitionRange]]
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- def wrapWithCache[T](opString: String, dataFrame: DataFrame)(func: => T): Try[T]
Deprecated Value Members
- def dropPartitionsAfterHole(inputTable: String, outputTable: String, partitionRange: PartitionRange, subPartitionFilters: Map[String, String] = Map.empty): Option[String]
- Annotations
- @deprecated
- Deprecated