Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/2158#discussion_r68562873
--- Diff: docs/apis/common/index.md ---
@@ -1350,3 +1350,211 @@ You may specify program arguments before the job is
executed. The plan visualiza
the execution plan before executing the Flink job.
{% top %}
+
+Metrics
+-------------------
+
+Flink exposes a metric system that allows users gather and expose metrics
to external systems.
+
+### Registering metrics
+
+You can access the metric system from any user function that extends
[RichFunction]({{ site.baseurl }}/apis/common/index.html#rich-functions) by
calling getRuntimeContext().getMetricGroup().
+This method returns a MetricGroup object on which you can create and
register new metrics.
+
+If you want to count the number of records your user function has received
you could use a Counter like this:
+
+{% highlight java %}
+
+public class MyMapper extends RichMapFunction<String, Integer> {
+ private Counter counter;
+
+ @Override
+ public void open(Configuration config) {
+ // create and register a counter
+ this.counter =
getRuntimeContext().getMetricGroup().counter("myCounter");
+ ...
+ }
+
+ @public Integer map(String value) throws Exception {
+ // increment counter
+ this.counter.inc();
+ ...
+ }
+}
+
+{% endhighlight %}
+
+### Metric types
+
+Flink supports Counters, Gauges and Histograms.
+
+A Counter is used to count something. The current value can be in- or
decremented using `inc([long n])` or `dec([long n])`.
+You can create and registers a Counter by calling `counter(String name)`
on a MetricGroup. Alternatively, you can pass an instance of your own Counter
implementation along with the name.
+
+A Gauge provides a value of any type on demand. In order to use a Gauge
you must first create a class that implements the
`org.apache.flink.metrics.Gauge` interface.
+There is not restriction for the type of the returned value.
+You can register a gauge by calling `gauge(String name, Gauge gauge)` on a
MetricGroup.
+
+A Histogram measure the distribution of long values.
+You can register one by calling histogram(String name, Histogram
histogram) on a MetricGroup.
+
+Flink only provides an interface for Histograms, but offers a Wrapper that
allows usage of Codahale/DropWizard Histograms.
(org.apache.flink.dropwizard.metrics.DropWizardHistogramWrapper)
--- End diff --
Maybe we could also say which module contains the
`DropWizardHistogramWrapper`
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
