A statsd client library implemented in Java. Allows for Java applications to easily communicate with statsd.
This version is forked from the upstream java-statsd-client project, adding support for DataDog events and blocking metrics for use with dogstatsd.
Discuss the library here
The client jar is distributed via maven central
<dependency>
<groupId>com.github.arnabk</groupId>
<artifactId>java-dogstatsd-client</artifactId>
<version>1.0.1</version>
</dependency>Non-blocking usage (metrics)
import com.timgroup.statsd.NonBlockingStatsDClient;
import com.timgroup.statsd.StatsDClient;
public class Foo {
private static final StatsDClient statsd = new NonBlockingStatsDClient(
"my.prefix", /* prefix to any stats; may be null or empty string */
"statsd-host", /* common case: localhost */
8125, /* port */
new String[] {"tag:value"} /* DataDog extension: Constant tags, always applied */
);
public static final void main(String[] args) {
statsd.incrementCounter("foo");
statsd.recordGaugeValue("bar", 100);
statsd.recordGaugeValue("baz", 0.01); /* DataDog extension: support for floating-point gauges */
statsd.recordHistogramValue("qux", 15); /* DataDog extension: histograms */
statsd.recordHistogramValue("qux", 15.5); /* ...also floating-point */
/* Compatibility note: Unlike upstream statsd, DataDog expects execution times to be a
* floating-point value in seconds, not a millisecond value. This library
* does the conversion from ms to fractional seconds.
*/
statsd.recordExecutionTime("bag", 25, "cluster:foo"); /* DataDog extension: cluster tag */
}
}Blocking usage (metrics)
import com.github.arnabk.statsd.BlockingStatsDClient;
import com.timgroup.statsd.StatsDClient;
public class Foo {
private static final StatsDClient statsd = new BlockingStatsDClient(
"my.prefix", /* prefix to any stats; may be null or empty string */
"statsd-host", /* common case: localhost */
8125, /* port */
new String[] {"tag:value"} /* DataDog extension: Constant tags, always applied */
);
public static final void main(String[] args) {
statsd.incrementCounter("foo");
statsd.recordGaugeValue("bar", 100);
statsd.recordGaugeValue("baz", 0.01); /* DataDog extension: support for floating-point gauges */
statsd.recordHistogramValue("qux", 15); /* DataDog extension: histograms */
statsd.recordHistogramValue("qux", 15.5); /* ...also floating-point */
/* Compatibility note: Unlike upstream statsd, DataDog expects execution times to be a
* floating-point value in seconds, not a millisecond value. This library
* does the conversion from ms to fractional seconds.
*/
statsd.recordExecutionTime("bag", 25, "cluster:foo"); /* DataDog extension: cluster tag */
}
}Non-blocking usage (events)
import com.github.arnabk.statsd.NonBlockingStatsDEventClient;
public class Foo {
private static final NonBlockingStatsDEventClient statsd = new NonBlockingStatsDEventClient(
"statsd-host", /* common case: localhost */
8125, /* port */
new String[] {"tag:value"} /* DataDog extension: Constant tags, always applied */
);
public static final void main(String[] args) {
statsd.event("title", "message");
}
}Blocking usage (events)
import com.github.arnabk.statsd.BlockingStatsDEventClient;
public class Foo {
private static final BlockingStatsDEventClient statsd = new BlockingStatsDEventClient(
"statsd-host", /* common case: localhost */
8125, /* port */
new String[] {"tag:value"} /* DataDog extension: Constant tags, always applied */
);
public static final void main(String[] args) {
statsd.event("title", "message");
}
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent