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Change to use labels for async instruments (#1349) 

Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com>
This commit is contained in:
Bogdan Drutu 2020-06-17 17:22:32 -07:00 committed by GitHub
parent 589adc0531
commit b734e366ec
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GPG Key ID: 4AEE18F83AFDEB23
10 changed files with 29 additions and 31 deletions
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5
api/src/main/java/io/opentelemetry/metrics/AsynchronousInstrument.java
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@ -16,6 +16,7 @@
package io.opentelemetry.metrics;
import io.opentelemetry.common.Labels;
import io.opentelemetry.metrics.AsynchronousInstrument.Result;
import javax.annotation.concurrent.ThreadSafe;
@ -63,11 +64,11 @@ public interface AsynchronousInstrument<R extends Result> extends Instrument {
/** The result for the {@link Callback}. */
interface LongResult extends Result {
void observe(long value, String... keyValueLabelPairs);
void observe(long value, Labels labels);
}
/** The result for the {@link Callback}. */
interface DoubleResult extends Result {
void observe(double value, String... keyValueLabelPairs);
void observe(double value, Labels labels);
}
}

6
extensions/runtime_metrics/src/main/java/io/opentelemetry/extensions/metrics/runtime/GarbageCollector.java
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@ -17,6 +17,7 @@
package io.opentelemetry.extensions.metrics.runtime;
import io.opentelemetry.OpenTelemetry;
import io.opentelemetry.common.Labels;
import io.opentelemetry.metrics.AsynchronousInstrument.Callback;
import io.opentelemetry.metrics.AsynchronousInstrument.LongResult;
import io.opentelemetry.metrics.LongSumObserver;
@ -61,10 +62,9 @@ public final class GarbageCollector {
.setDescription("Time spent in a given JVM garbage collector in milliseconds.")
.setUnit("ms")
.build();
final List<String[]> labelSets = new ArrayList<>(garbageCollectors.size());
final List<Labels> labelSets = new ArrayList<>(garbageCollectors.size());
for (final GarbageCollectorMXBean gc : garbageCollectors) {
String[] label = {GC_LABEL_KEY, gc.getName()};
labelSets.add(label);
labelSets.add(Labels.of(GC_LABEL_KEY, gc.getName()));
}
gcMetric.setCallback(

27
extensions/runtime_metrics/src/main/java/io/opentelemetry/extensions/metrics/runtime/MemoryPools.java
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@ -17,6 +17,7 @@
package io.opentelemetry.extensions.metrics.runtime;
import io.opentelemetry.OpenTelemetry;
import io.opentelemetry.common.Labels;
import io.opentelemetry.metrics.AsynchronousInstrument.Callback;
import io.opentelemetry.metrics.AsynchronousInstrument.LongResult;
import io.opentelemetry.metrics.LongSumObserver;
@ -75,14 +76,13 @@ public final class MemoryPools {
.setDescription("Bytes of a given JVM memory area.")
.setUnit("By")
.build();
final String[] usedHeap = new String[] {TYPE_LABEL_KEY, USED, AREA_LABEL_KEY, HEAP};
final String[] usedNonHeap = new String[] {TYPE_LABEL_KEY, USED, AREA_LABEL_KEY, NON_HEAP};
final String[] committedHeap = new String[] {TYPE_LABEL_KEY, COMMITTED, AREA_LABEL_KEY, HEAP};
final String[] committedNonHeap =
new String[] {TYPE_LABEL_KEY, COMMITTED, AREA_LABEL_KEY, NON_HEAP};
final Labels usedHeap = Labels.of(TYPE_LABEL_KEY, USED, AREA_LABEL_KEY, HEAP);
final Labels usedNonHeap = Labels.of(TYPE_LABEL_KEY, USED, AREA_LABEL_KEY, NON_HEAP);
final Labels committedHeap = Labels.of(TYPE_LABEL_KEY, COMMITTED, AREA_LABEL_KEY, HEAP);
final Labels committedNonHeap = Labels.of(TYPE_LABEL_KEY, COMMITTED, AREA_LABEL_KEY, NON_HEAP);
// TODO: Decide if max is needed or not. May be derived with some approximation from max(used).
final String[] maxHeap = new String[] {TYPE_LABEL_KEY, MAX, AREA_LABEL_KEY, HEAP};
final String[] maxNonHeap = new String[] {TYPE_LABEL_KEY, MAX, AREA_LABEL_KEY, NON_HEAP};
final Labels maxHeap = Labels.of(TYPE_LABEL_KEY, MAX, AREA_LABEL_KEY, HEAP);
final Labels maxNonHeap = Labels.of(TYPE_LABEL_KEY, MAX, AREA_LABEL_KEY, NON_HEAP);
areaMetric.setCallback(
new LongSumObserver.Callback<LongResult>() {
@Override
@ -107,14 +107,13 @@ public final class MemoryPools {
.setDescription("Bytes of a given JVM memory pool.")
.setUnit("By")
.build();
final List<String[]> usedLabelSets = new ArrayList<>(poolBeans.size());
final List<String[]> committedLabelSets = new ArrayList<>(poolBeans.size());
final List<String[]> maxLabelSets = new ArrayList<>(poolBeans.size());
final List<Labels> usedLabelSets = new ArrayList<>(poolBeans.size());
final List<Labels> committedLabelSets = new ArrayList<>(poolBeans.size());
final List<Labels> maxLabelSets = new ArrayList<>(poolBeans.size());
for (final MemoryPoolMXBean pool : poolBeans) {
usedLabelSets.add(new String[] {TYPE_LABEL_KEY, USED, POOL_LABEL_KEY, pool.getName()});
committedLabelSets.add(
new String[] {TYPE_LABEL_KEY, COMMITTED, POOL_LABEL_KEY, pool.getName()});
maxLabelSets.add(new String[] {TYPE_LABEL_KEY, MAX, POOL_LABEL_KEY, pool.getName()});
usedLabelSets.add(Labels.of(TYPE_LABEL_KEY, USED, POOL_LABEL_KEY, pool.getName()));
committedLabelSets.add(Labels.of(TYPE_LABEL_KEY, COMMITTED, POOL_LABEL_KEY, pool.getName()));
maxLabelSets.add(Labels.of(TYPE_LABEL_KEY, MAX, POOL_LABEL_KEY, pool.getName()));
}
poolMetric.setCallback(
new Callback<LongResult>() {

10
sdk/src/main/java/io/opentelemetry/sdk/metrics/AbstractAsynchronousInstrument.java
View File

@ -96,11 +96,10 @@ abstract class AbstractAsynchronousInstrument<T extends AsynchronousInstrument.R
}
@Override
public void observe(long sum, String... keyValueLabelPairs) {
public void observe(long sum, Labels labels) {
Aggregator aggregator = activeBatcher.getAggregator();
aggregator.recordLong(sum);
activeBatcher.batch(
Labels.of(keyValueLabelPairs), aggregator, /* mappedAggregator= */ false);
activeBatcher.batch(labels, aggregator, /* mappedAggregator= */ false);
}
}
}
@ -129,11 +128,10 @@ abstract class AbstractAsynchronousInstrument<T extends AsynchronousInstrument.R
}
@Override
public void observe(double sum, String... keyValueLabelPairs) {
public void observe(double sum, Labels labels) {
Aggregator aggregator = activeBatcher.getAggregator();
aggregator.recordDouble(sum);
activeBatcher.batch(
Labels.of(keyValueLabelPairs), aggregator, /* mappedAggregator= */ false);
activeBatcher.batch(labels, aggregator, /* mappedAggregator= */ false);
}
}
}

2
sdk/src/test/java/io/opentelemetry/sdk/metrics/DoubleSumObserverSdkTest.java
View File

@ -106,7 +106,7 @@ public class DoubleSumObserverSdkTest {
new Callback<DoubleResult>() {
@Override
public void update(DoubleResult result) {
result.observe(12.1d, "k", "v");
result.observe(12.1d, Labels.of("k", "v"));
}
});
testClock.advanceNanos(SECOND_NANOS);

2
sdk/src/test/java/io/opentelemetry/sdk/metrics/DoubleUpDownSumObserverSdkTest.java
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@ -106,7 +106,7 @@ public class DoubleUpDownSumObserverSdkTest {
new Callback<DoubleResult>() {
@Override
public void update(DoubleResult result) {
result.observe(12.1d, "k", "v");
result.observe(12.1d, Labels.of("k", "v"));
}
});
testClock.advanceNanos(SECOND_NANOS);

2
sdk/src/test/java/io/opentelemetry/sdk/metrics/DoubleValueObserverSdkTest.java
View File

@ -109,7 +109,7 @@ public class DoubleValueObserverSdkTest {
new Callback<DoubleResult>() {
@Override
public void update(DoubleResult result) {
result.observe(12.1d, "k", "v");
result.observe(12.1d, Labels.of("k", "v"));
}
});
testClock.advanceNanos(SECOND_NANOS);

2
sdk/src/test/java/io/opentelemetry/sdk/metrics/LongSumObserverSdkTest.java
View File

@ -105,7 +105,7 @@ public class LongSumObserverSdkTest {
new Callback<LongResult>() {
@Override
public void update(LongResult result) {
result.observe(12, "k", "v");
result.observe(12, Labels.of("k", "v"));
}
});
testClock.advanceNanos(SECOND_NANOS);

2
sdk/src/test/java/io/opentelemetry/sdk/metrics/LongUpDownSumObserverSdkTest.java
View File

@ -106,7 +106,7 @@ public class LongUpDownSumObserverSdkTest {
new Callback<LongResult>() {
@Override
public void update(LongResult result) {
result.observe(12, "k", "v");
result.observe(12, Labels.of("k", "v"));
}
});
testClock.advanceNanos(SECOND_NANOS);

2
sdk/src/test/java/io/opentelemetry/sdk/metrics/LongValueObserverSdkTest.java
View File

@ -109,7 +109,7 @@ public class LongValueObserverSdkTest {
new Callback<LongResult>() {
@Override
public void update(LongResult result) {
result.observe(12, "k", "v");
result.observe(12, Labels.of("k", "v"));
}
});
testClock.advanceNanos(SECOND_NANOS);