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https://issues.apache.org/jira/browse/BEAM-6540?focusedWorklogId=194845&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-194845
]
ASF GitHub Bot logged work on BEAM-6540:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Feb/19 22:26
Start Date: 05/Feb/19 22:26
Worklog Time Spent: 10m
Work Description: dustin12 commented on pull request #7664: [BEAM-6540]
Windmill quota piping
URL: https://github.com/apache/beam/pull/7664#discussion_r254071983
##########
File path:
runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/windmill/GrpcWindmillServer.java
##########
@@ -1416,4 +1458,62 @@ public void close() throws IOException {
stream.close();
}
}
+
+ /**
+ * A stopwatch used to track the amount of time spent throttled due to
Resource Exhausted errors.
+ * Throttle time is cumulative for all three rpcs types but not for all
streams. So if GetWork and
+ * CommitWork are both blocked for x, totalTime will be 2x. However, if 2
GetWork streams are both
+ * blocked for x totalTime will be x. All methods are thread safe.
+ */
+ private static class ThrottleTimer {
+
+ // This is -1 if not currently being throttled or the time in
+ // milliseconds when throttling for this type started.
+ private Long startTime = Long.valueOf(-1);
Review comment:
Ahh your right, these used to live in a map so had to be objects but its
simpler now and I can just use primitive longs.
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Issue Time Tracking
-------------------
Worklog Id: (was: 194845)
Time Spent: 6h (was: 5h 50m)
> Autoscaling should be aware of Streaming RPC Quota
> ---------------------------------------------------
>
> Key: BEAM-6540
> URL: https://issues.apache.org/jira/browse/BEAM-6540
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Affects Versions: 2.11.0
> Reporter: Dustin Rhodes
> Assignee: Tyler Akidau
> Priority: Major
> Fix For: 2.11.0
>
> Time Spent: 6h
> Remaining Estimate: 0h
>
> Streaming Windmill Service introduces quota for the shared windmill workers.
> Autoscaling needs to be aware of throttling due to this quota in order to not
> upscale. This PR adds in that reporting.
>
> It also introduces the flag --EnableStreamingEngine.
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