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https://issues.apache.org/jira/browse/BEAM-3310?focusedWorklogId=119349&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-119349
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ASF GitHub Bot logged work on BEAM-3310:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Jul/18 12:48
Start Date: 05/Jul/18 12:48
Worklog Time Spent: 10m
Work Description: echauchot commented on a change in pull request #4548:
[BEAM-3310] Metrics pusher
URL: https://github.com/apache/beam/pull/4548#discussion_r200338718
##########
File path:
runners/flink/src/main/java/org/apache/beam/runners/flink/FlinkRunner.java
##########
@@ -120,7 +121,9 @@ public PipelineResult run(Pipeline pipeline) {
if (result instanceof DetachedEnvironment.DetachedJobExecutionResult) {
LOG.info("Pipeline submitted in Detached mode");
- return new FlinkDetachedRunnerResult();
+ FlinkDetachedRunnerResult flinkDetachedRunnerResult = new
FlinkDetachedRunnerResult();
+ // no metricsPusher because metrics are not supported in detached mode
Review comment:
@zorro786 I checked and I'm afraid but supporting metrics pusher in detached
mode does not seem to be possible without a modification of the upstream flink.
Indeed, in this mode even flink accumulators are not available so we will have
no access to the metrics at all, it is not just a matter of terminating the
pusher thread as I first thought. To help you understand the architecture, here
is a diagram (that is part of my upcoming presentation at the apacheCon)
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Issue Time Tracking
-------------------
Worklog Id: (was: 119349)
Time Spent: 14h 20m (was: 14h 10m)
> Push metrics to a backend in an runner agnostic way
> ---------------------------------------------------
>
> Key: BEAM-3310
> URL: https://issues.apache.org/jira/browse/BEAM-3310
> Project: Beam
> Issue Type: New Feature
> Components: runner-extensions-metrics, sdk-java-core
> Reporter: Etienne Chauchot
> Assignee: Etienne Chauchot
> Priority: Major
> Time Spent: 14h 20m
> Remaining Estimate: 0h
>
> The idea is to avoid relying on the runners to provide access to the metrics
> (either at the end of the pipeline or while it runs) because they don't have
> all the same capabilities towards metrics (e.g. spark runner configures sinks
> like csv, graphite or in memory sinks using the spark engine conf). The
> target is to push the metrics in the common runner code so that no matter the
> chosen runner, a user can get his metrics out of beam.
> Here is the link to the discussion thread on the dev ML:
> https://lists.apache.org/thread.html/01a80d62f2df6b84bfa41f05e15fda900178f882877c294fed8be91e@%3Cdev.beam.apache.org%3E
> And the design doc:
> https://s.apache.org/runner_independent_metrics_extraction
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