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https://issues.apache.org/jira/browse/FLINK-5719?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tzu-Li (Gordon) Tai updated FLINK-5719:
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Description:
Currently, {{LatencyMarker}} s are forwarded through operators via the operator
interfaces and methods, i.e. {{AbstractStreamOperator#processLatencyMarker()}},
{{Output#emitLatencyMarker()}},
{{OneInputStreamOperator#processLatencyMarker()}} etc.
The main issue with this is that {{LatencyMarker}} s are essentially internal
elements, and the implementation on how to handle them should be final.
Exposing them through operator interfaces will allow the user to override the
implementation, and also makes the user interface for operators
over-complicated.
[~aljoscha] suggested to bypass such internal stream elements from the operator
to keep the operator interfaces minimal, in FLINK-5017.
We propose a similar approach here for {{LatencyMarker}}s as well. Since the
chaining output calls contribute very little to the measured latency and can be
ignored, instead of passing it through operator chains, latency markers can
simply be passed downstream once tasks receive them.
was:
Currently, {{LatencyMarker}}s are forwarded through operators via the operator
interfaces and methods, i.e. {{AbstractStreamOperator#processLatencyMarker()}},
{{Output#emitLatencyMarker()}},
{{OneInputStreamOperator#processLatencyMarker()}} etc.
The main issue with this is that {{LatencyMarker}}s are essentially internal
elements, and the implementation on how to handle them should be final.
Exposing them through operator interfaces will allow the user to override the
implementation, and also makes the user interface for operators
over-complicated.
[~aljoscha] suggested to bypass such internal stream elements from the operator
to keep the operator interfaces minimal, in FLINK-5017.
We propose a similar approach here for {{LatencyMarker}}s as well. Since the
chaining output calls contribute very little to the measured latency and can be
ignored, instead of passing it through operator chains, latency markers can
simply be passed downstream once tasks receive them.
> Let LatencyMarkers completely bypass operators / chains
> -------------------------------------------------------
>
> Key: FLINK-5719
> URL: https://issues.apache.org/jira/browse/FLINK-5719
> Project: Flink
> Issue Type: Improvement
> Components: Streaming
> Reporter: Tzu-Li (Gordon) Tai
>
> Currently, {{LatencyMarker}} s are forwarded through operators via the
> operator interfaces and methods, i.e.
> {{AbstractStreamOperator#processLatencyMarker()}},
> {{Output#emitLatencyMarker()}},
> {{OneInputStreamOperator#processLatencyMarker()}} etc.
> The main issue with this is that {{LatencyMarker}} s are essentially internal
> elements, and the implementation on how to handle them should be final.
> Exposing them through operator interfaces will allow the user to override the
> implementation, and also makes the user interface for operators
> over-complicated.
> [~aljoscha] suggested to bypass such internal stream elements from the
> operator to keep the operator interfaces minimal, in FLINK-5017.
> We propose a similar approach here for {{LatencyMarker}}s as well. Since the
> chaining output calls contribute very little to the measured latency and can
> be ignored, instead of passing it through operator chains, latency markers
> can simply be passed downstream once tasks receive them.
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