Spark 数据类型
Data Types
Spark SQL and DataFrames support the following data types:
Numeric types
ByteType: Represents 1-byte signed integer numbers. The range of numbers is from -128 to 127.
ShortType: Represents 2-byte signed integer numbers. The range of numbers is from -32768 to 32767.
IntegerType: Represents 4-byte signed integer numbers. The range of numbers is from -2147483648 to 2147483647.
LongType: Represents 8-byte signed integer numbers. The range of numbers is from -9223372036854775808 to 9223372036854775807.
FloatType: Represents 4-byte single-precision floating point numbers.
DoubleType: Represents 8-byte double-precision floating point numbers.
DecimalType: Represents arbitrary-precision signed decimal numbers. Backed internally by java.math.BigDecimal. A BigDecimal consists of an arbitrary precision integer unscaled value and a 32-bit integer scale.
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