trait SparkDataStream extends AnyRef
The base interface representing a readable data stream in a Spark streaming query. It's responsible to manage the offsets of the streaming source in the streaming query.
Data sources should implement concrete data stream interfaces:
MicroBatchStream and ContinuousStream.
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- @Evolving()
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- SparkDataStream.java
- Since
3.0.0
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- abstract def commit(end: Offset): Unit
Informs the source that Spark has completed processing all data for offsets less than or equal to
endand will only request offsets greater thanendin the future. - abstract def deserializeOffset(json: String): Offset
Deserialize a JSON string into an Offset of the implementation-defined offset type.
Deserialize a JSON string into an Offset of the implementation-defined offset type.
- Exceptions thrown
IllegalArgumentExceptionif the JSON does not encode a valid offset for this reader
- abstract def initialOffset(): Offset
Returns the initial offset for a streaming query to start reading from.
Returns the initial offset for a streaming query to start reading from. Note that the streaming data source should not assume that it will start reading from its initial offset: if Spark is restarting an existing query, it will restart from the check-pointed offset rather than the initial one.
- abstract def stop(): Unit
Stop this source and free any resources it has allocated.
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(Since version 9)