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https://issues.apache.org/jira/browse/FLINK-7009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16120997#comment-16120997
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ASF GitHub Bot commented on FLINK-7009:
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Github user dbrinegar commented on the issue:
https://github.com/apache/flink/pull/4188
Totally understand! Busy here too. Let me know what you decide to do and
I'll try to chip in.
> 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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