trait Sink extends Table
An interface for systems that can collect the results of a streaming query. In order to preserve exactly once semantics a sink must be idempotent in the face of multiple attempts to add the same batch.
Note that, we extends Table
here, to make the v1 streaming sink API be compatible with
data source v2.
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abstract
def
addBatch(batchId: Long, data: DataFrame): Unit
Adds a batch of data to this sink.
Adds a batch of data to this sink. The data for a given
batchId
is deterministic and if this method is called more than once with the same batchId (which will happen in the case of failures), thendata
should only be added once.Note 1: You cannot apply any operators on
data
except consuming it (e.g.,collect/foreach
). Otherwise, you may get a wrong result.Note 2: The method is supposed to be executed synchronously, i.e. the method should only return after data is consumed by sink successfully.
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final
def
asInstanceOf[T0]: T0
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def
capabilities(): Set[TableCapability]
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def
clone(): AnyRef
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getClass(): Class[_]
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hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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name(): String
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def
notify(): Unit
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def
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def
partitioning(): Array[Transform]
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def
properties(): Map[String, String]
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def
schema(): StructType
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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