org.apache.spark.sql.types

An array type containing elements of elementType.

A type for which the values can be ordered and compared.

A char(n) type.

The base type of all Spark SQL data types.

This mirrors org.apache.spark.sql.types.DataType from Apache Spark closely enough that schemas returned by a Spark Connect server can be represented faithfully on a pure Scala 3 client without depending on spark-catalyst.

A day-time interval type covering a contiguous range of fields.

A decimal type with the given precision and scale.

A GEOGRAPHY value: its Well-Known Binary (WKB) bytes plus a spatial reference identifier. Returned for GeographyType columns. Mirrors org.apache.spark.sql.types.Geography.

The GEOGRAPHY type with spatial reference identifier srid (-1, rendered as any, means a mixed-SRID column). Values are represented as Geography. Mirrors org.apache.spark.sql.types.GeographyType (Spark 4.1+).

A GEOMETRY value: its Well-Known Binary (WKB) bytes plus a spatial reference identifier. Returned for GeometryType columns. Mirrors org.apache.spark.sql.types.Geometry.

The GEOMETRY type with spatial reference identifier srid (-1, rendered as any, means a mixed-SRID column). Values are represented as Geometry. Mirrors org.apache.spark.sql.types.GeometryType (Spark 4.1+).

A map type with the given key and value types.

Metadata is a wrapper over a map that can be used to associate extra information with a StructField. The supported value types mirror Spark's Metadata: Long, Double, Boolean, String, and arrays / nested metadata thereof.

A builder for Metadata.

Numeric data types.

A field inside a StructType.

A struct type, i.e. the schema of a row.

The TIME type: a time of day without a time zone, with precision digits of fractional seconds (0 to 9). Values are represented as java.time.LocalTime. Mirrors org.apache.spark.sql.types.TimeType (Spark 4.1+; the server gates it behind spark.sql.timeType.enabled).

A timestamp with local time zone with nanosecond-capable precision (7 to 9 fractional-second digits). Values are represented as java.time.Instant. Mirrors org.apache.spark.sql.types.TimestampLTZNanosType (Spark 4.3+, a preview feature the server gates behind spark.sql.timestampNanosTypes.enabled).

A timestamp without time zone with nanosecond-capable precision (7 to 9 fractional-second digits). Values are represented as java.time.LocalDateTime. Mirrors org.apache.spark.sql.types.TimestampNTZNanosType (Spark 4.3+, a preview feature the server gates behind spark.sql.timestampNanosTypes.enabled).

A varchar(n) type.

A year-month interval type covering a contiguous range of fields.