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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-7009) dogstatsd mode in statsd reporter
Date Tue, 11 Jul 2017 07:35:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-7009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16081819#comment-16081819
] 

ASF GitHub Bot commented on FLINK-7009:
---------------------------------------

Github user zentol commented on the issue:

    https://github.com/apache/flink/pull/4188
  
    @svendx4f Removing object ID's from operator/task names should be solved in general and
not just for StatsD. The corresponding issue FLINK-6464. Feel free to pick it up.


> dogstatsd mode in statsd reporter
> ---------------------------------
>
>                 Key: FLINK-7009
>                 URL: https://issues.apache.org/jira/browse/FLINK-7009
>             Project: Flink
>          Issue Type: Improvement
>          Components: Metrics
>    Affects Versions: 1.4.0
>         Environment: org.apache.flink.metrics.statsd.StatsDReporter
>            Reporter: David Brinegar
>             Fix For: 1.4.0
>
>
> The current statsd reporter can only report a subset of Flink metrics owing to the manner
in which Flink variables are handled, mainly around invalid characters and metrics too long.
 As an option, it would be quite useful to have a stricter dogstatsd compliant output.  Dogstatsd
metrics are tagged, should be less than 200 characters including tag names and values, be
alphanumeric + underbar, delimited by periods.  As a further pragmatic restriction, negative
and other invalid values should be ignored rather than sent to the backend.  These restrictions
play well with a broad set of collectors and time series databases.
> This mode would:
> * convert output to ascii alphanumeric characters with underbar, delimited by periods.
 Runs of invalid characters within a metric segment would be collapsed to a single underbar.
> * report all Flink variables as tags
> * compress overly long segments, say over 50 chars, to a symbolic representation of the
metric name, to preserve the unique metric time series but avoid downstream truncation
> * compress 32 character Flink IDs like tm_id, task_id, job_id, task_attempt_id, to the
first 8 characters, again to preserve enough distinction amongst metrics while trimming up
to 96 characters from the metric
> * remove object references from names, such as the instance hash id of the serializer
> * drop negative or invalid numeric values such as "n/a", "-1" which is used for unknowns
like JVM.Memory.NonHeap.Max, and "-9223372036854775808" which is used for unknowns like currentLowWaterMark
> With these in place, it becomes quite reasonable to support LatencyGauge metrics as well.
> One idea for symbolic compression is to take the first 10 valid characters plus a hash
of the long name.  For example, a value like this operator_name:
> {code:java}
> TriggerWindow(TumblingProcessingTimeWindows(5000), ReducingStateDescriptor{serializer=org.apache.flink.api.java.typeutils.runtime.PojoSerializer@f3395ffa,
reduceFunction=org.apache.flink.streaming.examples.socket.SocketWindowWordCount$1@4201c465},
ProcessingTimeTrigger(), WindowedStream.reduce(WindowedStream.java-301))
> {code}
> would first drop the instance references.  The stable version would be:
>  
> {code:java}
> TriggerWindow(TumblingProcessingTimeWindows(5000), ReducingStateDescriptor{serializer=org.apache.flink.api.java.typeutils.runtime.PojoSerializer,
reduceFunction=org.apache.flink.streaming.examples.socket.SocketWindowWordCount$1}, ProcessingTimeTrigger(),
WindowedStream.reduce(WindowedStream.java-301))
> {code}
> and then the compressed name would be the first ten valid characters plus the hash of
the stable string:
> {code}
> TriggerWin_d8c007da
> {code}
> This is just one way of dealing with unruly default names, the main point would be to
preserve the metrics so they are valid, avoid truncation, and can be aggregated along other
dimensions even if this particular dimension is hard to parse after the compression.



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