@PublicEvolving public interface ReaderOutput<T> extends SourceOutput<T>
SourceReaderto emit records, and optionally watermarks, to downstream operators for message processing.
ReaderOutput is a
SourceOutput and can be used directly to emit the stream
of events from the source. This is recommended for source where the SourceReader processes only a
single split, or where NO split-specific characteristics are required (like per-split watermarks
and idleness, split-specific event-time skew handling, etc.).
As a special case, this is true for sources that are purely supporting bounded/batch data processing.
For most streaming sources, the
SourceReader should use split-specific outputs, to allow
the processing logic to run per-split watermark generators, idleness detection, etc.
To create a split-specific
SourceOutput use the
method, using the Source Split's ID. Make sure to release the output again once the source has finished
processing that split.
|Modifier and Type||Method and Description|
Emit a record without a timestamp.
Emit a record with a timestamp.
Emits the given watermark.
Marks this output as idle, meaning that downstream operations do not wait for watermarks from this output.
void collect(T record)
Use this method if the source system does not have a notion of records with timestamps.
The events later pass through a
TimestampAssigner, which attaches a timestamp
to the event based on the event's contents. For example a file source with JSON records would not
have a generic timestamp from the file reading and JSON parsing process, and thus use this
method to produce initially a record without a timestamp. The
the next step would be used to extract timestamp from a field of the JSON object.
void collect(T record, long timestamp)
Use this method if the source system has timestamps attached to records. Typical examples would be Logs, PubSubs, or Message Queues, like Kafka or Kinesis, which store a timestamp with each event.
The events typically still pass through a
TimestampAssigner, which may decide to
either use this source-provided timestamp, or replace it with a timestamp stored within the
event (for example if the event was a JSON object one could configure aTimestampAssigner that
extracts one of the object's fields and uses that as a timestamp).
void emitWatermark(Watermark watermark)
Emitting a watermark also implicitly marks the stream as active, ending previously marked idleness.
An output becomes active again as soon as the next watermark is emitted.
SourceOutput<T> createOutputForSplit(String splitId)
SourceOutputfor a specific Source Split. Use these outputs if you want to run split-local logic, like watermark generation.
If a split-local output was already created for this split-ID, the method will return that instance, so that only one split-local output exists per split-ID.
IMPORTANT: After the split has been finished, it is crucial to release the created output again. Otherwise it will continue to contribute to the watermark generation like a perpetually stalling source split, and may hold back the watermark indefinitely.
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