case class AutogenousInput(name: String, dataosAddress: String, options: Map[String, String]) extends IncrementalReader with DatasourceReader with Product with Serializable
Case class representing an Autogenous Input.
- name
The name of the Autogenous Input.
- dataosAddress
The dataosAddress for the Autogenous Input.
- options
Additional options for the Autogenous Input.
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Instance Constructors
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new
AutogenousInput(name: String, dataosAddress: String, options: Map[String, String])
- name
The name of the Autogenous Input.
- dataosAddress
The dataosAddress for the Autogenous Input.
- options
Additional options for the Autogenous Input.
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- val dataosAddress: String
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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final
def
isInstanceOf[T0]: Boolean
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lazy val
log: Logger
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val
name: String
The name of the data reader.
The name of the data reader.
- Definition Classes
- AutogenousInput → Reader
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- val options: Map[String, String]
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def
persistIncrementalState(): Unit
Persists the incremental state if any.
Persists the incremental state if any.
- Definition Classes
- IncrementalReader
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def
read(sparkSession: SparkSession): DataFrame
Reads the data from the Autogenous Input.
Reads the data from the Autogenous Input.
- sparkSession
The SparkSession instance.
- returns
The DataFrame containing the data.
- Definition Classes
- AutogenousInput → Reader
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def
readBatch(sparkSession: SparkSession): DataFrame
Reads the data from the Autogenous Input in batch mode.
Reads the data from the Autogenous Input in batch mode.
- sparkSession
The SparkSession instance.
- returns
The DataFrame containing the data.
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def
readIncremental(df: DataFrame, incremental: Option[Incremental]): DataFrame
Reads data from a DataFrame with optional incremental settings.
Reads data from a DataFrame with optional incremental settings.
- df
The DataFrame to read data from.
- incremental
Optional Incremental settings to apply.
- returns
A new DataFrame after applying incremental settings if provided, otherwise the original DataFrame.
- Definition Classes
- IncrementalReader
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def
readStream(sparkSession: SparkSession): DataFrame
Reads the data from the Autogenous Input in streaming mode.
Reads the data from the Autogenous Input in streaming mode.
- sparkSession
The SparkSession instance.
- returns
The DataFrame containing the streaming data.
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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