GlassesFrame

Abstract Value Members

abstract def get(optic: A): (Dataset[_]) ⇒ Column

Returns a function that extract the column of a dataset.
Returns a function that extract the column of a dataset.
optic
the optic to apply
returns
a function that transforms a Dataset to the focused column

See also
org.apache.spark.sql.Column
org.apache.spark.sql.Dataset
abstract def modify(optic: A)(f: (Column) ⇒ Column): (Dataset[_]) ⇒ DataFrame

Sets the focused element to the provided one.
Sets the focused element to the provided one.
optic
the optic to apply
f
the function to apply to the focused column
returns
a function that transforms a Dataset to a DataFrame

See also
org.apache.spark.sql.Dataset
abstract def set(optic: A)(newValue: Column): (Dataset[_]) ⇒ DataFrame

Sets the focused element to the provided one.
Sets the focused element to the provided one.
optic
the optic to apply
newValue
the
returns
a function that transforms a Dataset to a DataFrame

See also
org.apache.spark.sql.Column
org.apache.spark.sql.Dataset

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def modifyAndCheckSchema(optic: A)(f: (Column) ⇒ Column): (Dataset[_]) ⇒ DataFrame

Modifies the focused element to the provided one, and throws an error if the schema of the returned DataFrame is not the same as the provided one.
Modifies the focused element to the provided one, and throws an error if the schema of the returned DataFrame is not the same as the provided one.
optic
the optic to apply
f
the function to apply to the focused column
returns
a function that transforms a Dataset to a DataFrame

Exceptions thrown
SchemaChangedException the error showing the differences in the schema
See also
org.apache.spark.sql.Column
org.apache.spark.sql.Dataset
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def setAndCheckSchema(optic: A)(newValue: Column): (Dataset[_]) ⇒ DataFrame

Sets the focused element to the provided one, and throws an error if the schema of the returned DataFrame is not the same as the provided one.
Sets the focused element to the provided one, and throws an error if the schema of the returned DataFrame is not the same as the provided one.
optic
the optic to apply
newValue
the value to be setted in
returns
a function that transforms a Dataset to a DataFrame

Exceptions thrown
SchemaChangedException the error showing the differences in the schema
See also
org.apache.spark.sql.Dataset
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: object GlassesFrame | package sparkOptics

trait GlassesFrame[A] extends AnyRef

Abstract Value Members

abstract def get(optic: A): (Dataset[_]) ⇒ Column

abstract def modify(optic: A)(f: (Column) ⇒ Column): (Dataset[_]) ⇒ DataFrame

abstract def set(optic: A)(newValue: Column): (Dataset[_]) ⇒ DataFrame

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def modifyAndCheckSchema(optic: A)(f: (Column) ⇒ Column): (Dataset[_]) ⇒ DataFrame

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def setAndCheckSchema(optic: A)(newValue: Column): (Dataset[_]) ⇒ DataFrame

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

Ungrouped