RawOptions

Options for a raw datastore.

saveMode specifies the behaviour when saving and the output uri already exists; valid values are:

"error", throw an error and do not save anything
"overwrite", overwrite existing data
"append", append to existing data
"ignore", do not save anything and don't throw any errors
"default", like "error" for it.agilelab.bigdata.wasp.consumers.SparkWriter, like "append" for it.agilelab.bigdata.wasp.consumers.SparkStreamingWriter

format specifies the data format to use; valid values are:

extraOptions allows specifying any writer-specific options accepted by DataFrameReader/Writer.option

partitionBy allows specifying columns to be used to partition the data by using different directories for different values

Linear Supertypes

Serializable, Serializable, Product, Equals, AnyRef, Any

final def !=(arg0: Any): Boolean

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

Definition Classes
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val extraOptions: Option[Map[String, String]]

extra options for the underlying writer
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
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@throws( classOf[java.lang.Throwable] )
val format: String

specifies the format to use
final def getClass(): Class[_]

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final def isInstanceOf[T0]: Boolean

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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

Definition Classes
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val partitionBy: Option[List[String]]
val saveMode: String

specifies the behaviour when the output uri exists
final def synchronized[T0](arg0: ⇒ T0): T0

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final def wait(): Unit

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

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final def wait(arg0: Long): Unit

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@throws( ... )