[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-16 Thread skonto
Github user skonto commented on the issue:

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Thanx @vanzin!


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-16 Thread skonto
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@vanzin didn't mean to press or anything :)


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-16 Thread vanzin
Github user vanzin commented on the issue:

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You guys need to be a little patient...


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-16 Thread skonto
Github user skonto commented on the issue:

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@vanzin ready to merge.


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2018-10-15 Thread skonto
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@vanzin thanx for the review I think It looks ok now.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-15 Thread skonto
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@vanzin could I get a merge pls?


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-10 Thread skonto
Github user skonto commented on the issue:

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Thanx a lot @aditanase ! I will update the PR.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-10-09 Thread aditanase
Github user aditanase commented on the issue:

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@skonto @vanzin You can rest assured the metrics are not shipped anywhere. 
Collection is cheap/free and completely decoupled from reporting.
The registry is only a data bag, shipping metrics is done via reporters 
that are configured to "pull" metrics from the registry at regular intervals.
Also, you're mostly adding counters that are extremely simple. Histograms 
and timers are more involved but the cost associated is far outweighed by the 
benefits of having data points.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-24 Thread skonto
Github user skonto commented on the issue:

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@vanzin AFAIK the operations just update metrics in the underlying 
dropwizard metrics library. I dont htink anything is shipped anywhere. How 
should I proceed? Is there anyone who is familiar with the internals?


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-20 Thread vanzin
Github user vanzin commented on the issue:

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I don't really have an opinion about the metrics or names or things like 
that; but not being familiar with the internals of this metric system, I'd just 
like to make sure that updating these metrics is cheap and won't do things like 
actually try to send data to the sinks, which would be a no-no in this 
particular listener.

Also, if the metrics system can be disabled (isn't it disabled by 
default?), I'd avoid even updating these metrics in the listener at all.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-18 Thread xuanyuanking
Github user xuanyuanking commented on the issue:

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retest this please.


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2018-09-18 Thread xuanyuanking
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UT fixed by #22452.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-18 Thread srowen
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Looks like different failures. I am not sure if these are known issues. I'd 
try again later today.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-18 Thread skonto
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@srowen integration tests seem so flaky! Seen this before?


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-17 Thread skonto
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jenkins, test this please.


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2018-09-17 Thread skonto
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test failure is irrelevant. jenkins, test this please.


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[GitHub] spark issue #22381: [SPARK-25394][CORE] Add an application status metrics so...

2018-09-17 Thread skonto
Github user skonto commented on the issue:

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@erikerlandson I added an option to disable them, by default they are now 
disabled. Is it possible to move forward with this? @srowen ? Btw I removed any 
code triggered by this unless explicitly enabled.


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2018-09-12 Thread skonto
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@erikerlandson I dont any tests for sources AFAIK, they exist for the 
metric system itself. From the commit history this look like an old feature. 
Regarding enabling or disabling them no at the moment. But it is fairly easy to 
do via spark conf as there is one flag for structured streaming already 
`spark.sql.streaming.metricsEnabled`.


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2018-09-12 Thread erikerlandson
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These new metrics seem useful.  Is there a way to provide unit or 
integration testing for it?
Do these have enable/disable via metrics.properties files?


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2018-09-12 Thread skonto
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ok will do.


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2018-09-12 Thread srowen
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Yeah, this is bigger than adding one metric; raise it on dev@? I'm not sure 
who if anyone has an opinion on it. I'd rather hear more feedback on the 
history of these choices and what the right future state is. What's the use 
case, etc


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2018-09-12 Thread skonto
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@srowen I was checking git history and I see that you merged this one: 
https://github.com/apache/spark/pull/22218 again related to metrics. Could you 
call someone who can do the merge?


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2018-09-11 Thread skonto
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@srowen thanks is there someone I could call? @vanzin ?


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2018-09-11 Thread srowen
Github user srowen commented on the issue:

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I don't think I know enough about monitoring to merge this. I am concerned 
about the duplication here, although I understand your argument why it's 
valuable.


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@srowen @xuanyuanking ready for another round.


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2018-09-10 Thread dbrinegar
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This is quite a nice improvement for monitoring.  The rest api is great for 
UI and consolidated analytics, but monitoring through it is not as 
straightforward as when the data emits directly from the source like this.  
There is all kinds of nice context that we get when the data from this spark 
node is collected directly from the node itself, and not proxied through 
another collector / reporter.  It is easier to build a monitoring data model 
across the cluster when node, jmx, pod, resource manifests, and spark data all 
align by virtue of coming from the same collector.  Building a similar view of 
the cluster just from the rest api, as a comparison, is simply harder and quite 
challenging to do in general purpose terms.


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2018-09-10 Thread skonto
Github user skonto commented on the issue:

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> that mirroring of metrics seems like a bigger question 
@srowen thanks for the comments, rest api is not always available or a 
standard way to export stuff.
This is also the experience coming from 
[Opsclarity](https://www.opsclarity.com/product/features/) work.
It it much more standard to use jmx for many systems out there AFAIK. This 
way using one component only like jmx exporter I can have all metrics in one 
place and no need to scrape the rest api.


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2018-09-10 Thread skonto
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please test this


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