Packages

object RowEncoder

A factory for constructing encoders that convert external row to/from the Spark SQL internal binary representation.

The following is a mapping between Spark SQL types and its allowed external types:

BooleanType -> java.lang.Boolean
ByteType -> java.lang.Byte
ShortType -> java.lang.Short
IntegerType -> java.lang.Integer
FloatType -> java.lang.Float
DoubleType -> java.lang.Double
StringType -> String
DecimalType -> java.math.BigDecimal or scala.math.BigDecimal or Decimal

DateType -> java.sql.Date if spark.sql.datetime.java8API.enabled is false
DateType -> java.time.LocalDate if spark.sql.datetime.java8API.enabled is true

TimestampType -> java.sql.Timestamp if spark.sql.datetime.java8API.enabled is false
TimestampType -> java.time.Instant if spark.sql.datetime.java8API.enabled is true

TimestampNTZType -> java.time.LocalDateTime

DayTimeIntervalType -> java.time.Duration
YearMonthIntervalType -> java.time.Period

BinaryType -> byte array
ArrayType -> scala.collection.Seq or Array
MapType -> scala.collection.Map
StructType -> org.apache.spark.sql.Row
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  1. final def !=(arg0: Any): Boolean
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  4. def apply(schema: StructType): ExpressionEncoder[Row]
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  9. def externalDataTypeFor(dt: DataType): DataType
  10. def externalDataTypeForInput(dt: DataType): DataType

    Returns the DataType that can be used when generating code that converts input data into the Spark SQL internal format.

    Returns the DataType that can be used when generating code that converts input data into the Spark SQL internal format. Unlike externalDataTypeFor, the DataType returned by this function can be more permissive since multiple external types may map to a single internal type. For example, for an input with DecimalType in external row, its external types can be scala.math.BigDecimal, java.math.BigDecimal, or org.apache.spark.sql.types.Decimal.

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