object DataProfiling
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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- def analyseColumn(df: DataFrame, c: String): DataFrame
- def analyseDf(df: DataFrame): String
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final
def
asInstanceOf[T0]: T0
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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- def externalDsId(schema: String, tableName: String, idPadTo: Int = 55): String
- def externalToRawMap(schema: String, tableName: String, idPadTo: Int = 55): Unit
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final
def
getClass(): Class[_]
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- @native() @HotSpotIntrinsicCandidate()
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- @native() @HotSpotIntrinsicCandidate()
- def printIngestionSpec(df: DataFrame, schema: String, tableName: String, systemName: String, folder: String, format: String, loadType: String): Unit
- def printRawDataset(schema: String, tableName: String, storageId: String = "red_raw", format: String = "DELTA", loadType: String = "Insert", idPadTo: Int = 55, pathPadTo: Int = 55, tablePadTo: Int = 35): Unit
- def printRawDatasets(schema: String, tables: List[String], storageId: String = "red_raw", format: String = "DELTA", loadType: String = "Insert"): Unit
- def printSourceDataset(schema: String, tableName: String, format: String, storageId: String, idPadTo: Int = 55, tablePadTo: Int = 35): Unit
- def printSourceDatasets(schema: String, tables: List[String], format: String, storageId: String): Unit
- def rawDsId(schema: String, tableName: String, idPadTo: Int = 55): String
- def showSchema(schema: String, numRows: Int = 50)(implicit spark: SparkSession, dfr: DataFrameReader): DataFrame
- def showSchemas(numRows: Int = 50)(implicit spark: SparkSession, dfr: DataFrameReader): DataFrame
- def sql(query: String, numRows: Int = 50)(implicit spark: SparkSession, dfr: DataFrameReader): DataFrame
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def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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def
finalize(): Unit
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