object SchemaUtils
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- case class SparkSchemaRow(column: String, colType: String) extends Product with Serializable
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- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
- def countRecordLines(record: FFAST): Int
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eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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- def findColumnLengthSum(record: FFAST): Int
- def findColumns(record: FFAST): Seq[(String, FFDataFormat)]
- def fixedLength(format: FFDataFormat, columnValueMap: Map[String, Any] = mutable.Map[String, Any](), buffer: Array[Byte] = Array(), start: Option[Int] = None): Option[Int]
- def generateRunLengthValueBytes(length: Int, runLengthValue: String): Array[Byte]
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- def getNumberOfBytes(input: String): Int
- def getRunLengthValueFromBytes(input: Array[Byte], runLengthValue: String): (Int, Array[Byte])
- def getRunLengthValueInfo(runLengthValue: String, buffer: Array[Byte], startIndex: Int): Int
- def getSparkSchema(record: FFSchemaRecord): Seq[SparkSchemaRow]
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hashCode(): Int
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notifyAll(): Unit
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- def printFFPython(row: FFAST): String
- def readRow(start: Int, buffer: Array[Byte], format: FFDataFormat, columnValueMap: Map[String, Any]): (Array[Byte], Int)
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(Since version ) see corresponding Javadoc for more information.