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org.apache.solr.util.stats.MetricUtils Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.solr.util.stats;
import java.beans.BeanInfo;
import java.beans.IntrospectionException;
import java.beans.Introspector;
import java.beans.PropertyDescriptor;
import java.lang.invoke.MethodHandles;
import java.lang.management.OperatingSystemMXBean;
import java.lang.management.PlatformManagedObject;
import java.lang.reflect.InvocationTargetException;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.SortedSet;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.function.BiConsumer;
import java.util.function.Consumer;
import com.codahale.metrics.Counter;
import com.codahale.metrics.Gauge;
import com.codahale.metrics.Histogram;
import com.codahale.metrics.InstrumentedExecutorService;
import com.codahale.metrics.Meter;
import com.codahale.metrics.Metric;
import com.codahale.metrics.MetricFilter;
import com.codahale.metrics.MetricRegistry;
import com.codahale.metrics.Snapshot;
import com.codahale.metrics.Timer;
import org.apache.solr.common.SolrInputDocument;
import org.apache.solr.common.util.NamedList;
import org.apache.solr.core.SolrInfoBean;
import org.apache.solr.metrics.AggregateMetric;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Metrics specific utility functions.
*/
public class MetricUtils {
private static final Logger log = LoggerFactory.getLogger(MethodHandles.lookup().lookupClass());
public static final String METRIC_NAME = "metric";
public static final String VALUE = "value";
public static final String VALUES = "values";
static final String MS = "_ms";
static final String MIN = "min";
static final String MIN_MS = MIN + MS;
static final String MAX = "max";
static final String MAX_MS = MAX + MS;
static final String MEAN = "mean";
static final String MEAN_MS = MEAN + MS;
static final String MEDIAN = "median";
static final String MEDIAN_MS = MEDIAN + MS;
static final String STDDEV = "stddev";
static final String STDDEV_MS = STDDEV + MS;
static final String SUM = "sum";
static final String P75 = "p75";
static final String P75_MS = P75 + MS;
static final String P95 = "p95";
static final String P95_MS = P95 + MS;
static final String P99 = "p99";
static final String P99_MS = P99 + MS;
static final String P999 = "p999";
static final String P999_MS = P999 + MS;
/**
* This filter can limit what properties of a metric are returned.
*/
public interface PropertyFilter {
PropertyFilter ALL = (name) -> true;
/**
* Return only properties that match.
* @param name property name
* @return true if this property should be returned, false otherwise.
*/
boolean accept(String name);
}
/**
* Adds metrics from a Timer to a NamedList, using well-known back-compat names.
* @param lst The NamedList to add the metrics data to
* @param timer The Timer to extract the metrics from
*/
public static void addMetrics(NamedList lst, Timer timer) {
Snapshot snapshot = timer.getSnapshot();
lst.add("avgRequestsPerSecond", timer.getMeanRate());
lst.add("5minRateRequestsPerSecond", timer.getFiveMinuteRate());
lst.add("15minRateRequestsPerSecond", timer.getFifteenMinuteRate());
lst.add("avgTimePerRequest", nsToMs(snapshot.getMean()));
lst.add("medianRequestTime", nsToMs(snapshot.getMedian()));
lst.add("75thPcRequestTime", nsToMs(snapshot.get75thPercentile()));
lst.add("95thPcRequestTime", nsToMs(snapshot.get95thPercentile()));
lst.add("99thPcRequestTime", nsToMs(snapshot.get99thPercentile()));
lst.add("999thPcRequestTime", nsToMs(snapshot.get999thPercentile()));
}
/**
* Converts a double representing nanoseconds to a double representing milliseconds.
*
* @param ns the amount of time in nanoseconds
* @return the amount of time in milliseconds
*/
public static double nsToMs(double ns) {
return ns / TimeUnit.MILLISECONDS.toNanos(1);
}
/**
* Provides a representation of the given metric registry as {@link SolrInputDocument}-s.
Only those metrics
* are converted which match at least one of the given MetricFilter instances.
*
* @param registry the {@link MetricRegistry} to be converted
* @param shouldMatchFilters a list of {@link MetricFilter} instances.
* A metric must match any one of the filters from this list to be
* included in the output
* @param mustMatchFilter a {@link MetricFilter}.
* A metric must match this filter to be included in the output.
* @param propertyFilter limit what properties of a metric are returned
* @param skipHistograms discard any {@link Histogram}-s and histogram parts of {@link Timer}-s.
* @param skipAggregateValues discard internal values of {@link AggregateMetric}-s.
* @param compact use compact representation for counters and gauges.
* @param metadata optional metadata. If not null and not empty then this map will be added under a
* {@code _metadata_} key.
* @param consumer consumer that accepts produced {@link SolrInputDocument}-s
*/
public static void toSolrInputDocuments(MetricRegistry registry, List shouldMatchFilters,
MetricFilter mustMatchFilter, PropertyFilter propertyFilter, boolean skipHistograms,
boolean skipAggregateValues, boolean compact,
Map metadata, Consumer consumer) {
boolean addMetadata = metadata != null && !metadata.isEmpty();
toMaps(registry, shouldMatchFilters, mustMatchFilter, propertyFilter, skipHistograms, skipAggregateValues, compact, false, (k, v) -> {
SolrInputDocument doc = new SolrInputDocument();
doc.setField(METRIC_NAME, k);
toSolrInputDocument(null, doc, v);
if (addMetadata) {
toSolrInputDocument(null, doc, metadata);
}
consumer.accept(doc);
});
}
/**
* Fill in a SolrInputDocument with values from a converted metric, recursively.
* @param prefix prefix to add to generated field names, or null if none.
* @param doc document to fill
* @param o an instance of converted metric, either a Map or a flat Object
*/
static void toSolrInputDocument(String prefix, SolrInputDocument doc, Object o) {
if (!(o instanceof Map)) {
String key = prefix != null ? prefix : VALUE;
doc.addField(key, o);
return;
}
Map map = (Map)o;
for (Map.Entry entry : map.entrySet()) {
if (entry.getValue() instanceof Map) { // flatten recursively
toSolrInputDocument(entry.getKey(), doc, entry.getValue());
} else {
String key = prefix != null ? prefix + "." + entry.getKey() : entry.getKey();
doc.addField(key, entry.getValue());
}
}
}
/**
* Convert selected metrics to maps or to flattened objects.
* @param registry source of metrics
* @param shouldMatchFilters metrics must match any of these filters
* @param mustMatchFilter metrics must match this filter
* @param propertyFilter limit what properties of a metric are returned
* @param skipHistograms discard any {@link Histogram}-s and histogram parts of {@link Timer}-s.
* @param skipAggregateValues discard internal values of {@link AggregateMetric}-s.
* @param compact use compact representation for counters and gauges.
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
public static void toMaps(MetricRegistry registry, List shouldMatchFilters,
MetricFilter mustMatchFilter, PropertyFilter propertyFilter,
boolean skipHistograms, boolean skipAggregateValues,
boolean compact, boolean simple,
BiConsumer consumer) {
final Map metrics = registry.getMetrics();
final SortedSet names = registry.getNames();
names.stream()
.filter(s -> shouldMatchFilters.stream().anyMatch(metricFilter -> metricFilter.matches(s, metrics.get(s))))
.filter(s -> mustMatchFilter.matches(s, metrics.get(s)))
.forEach(n -> {
Metric metric = metrics.get(n);
convertMetric(n, metric, propertyFilter, skipHistograms, skipAggregateValues, compact, simple, ".", consumer);
});
}
/**
* Convert selected metrics from a registry into a map, with metrics in a compact AND simple format.
* @param registry registry
* @param names metric names
* @return map where keys are metric names (if they were present in the registry) and values are
* converted metrics in simplified format.
*/
public static Map convertMetrics(MetricRegistry registry, Collection names) {
final Map metrics = new HashMap<>();
convertMetrics(registry, names, false, true, true, true, (k, v) -> metrics.put(k, v));
return metrics;
}
/**
* Convert selected metrics from a registry into maps (when compact==false) or
* flattened objects.
* @param registry registry
* @param names metric names
* @param skipHistograms discard any {@link Histogram}-s and histogram parts of {@link Timer}-s.
* @param skipAggregateValues discard internal values of {@link AggregateMetric}-s.
* @param compact use compact representation for counters and gauges.
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
public static void convertMetrics(MetricRegistry registry, Collection names,
boolean skipHistograms, boolean skipAggregateValues,
boolean compact, boolean simple,
BiConsumer consumer) {
final Map metrics = registry.getMetrics();
names.stream()
.forEach(n -> {
Metric metric = metrics.get(n);
convertMetric(n, metric, PropertyFilter.ALL, skipHistograms, skipAggregateValues, compact, simple, ".", consumer);
});
}
/**
* Convert a single instance of metric into a map or flattened object.
* @param n metric name
* @param metric metric instance
* @param propertyFilter limit what properties of a metric are returned
* @param skipHistograms discard any {@link Histogram}-s and histogram parts of {@link Timer}-s.
* @param skipAggregateValues discard internal values of {@link AggregateMetric}-s.
* @param compact use compact representation for counters and gauges.
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
public static void convertMetric(String n, Metric metric, PropertyFilter propertyFilter, boolean skipHistograms, boolean skipAggregateValues,
boolean compact, boolean simple, String separator, BiConsumer consumer) {
if (metric instanceof Counter) {
Counter counter = (Counter) metric;
convertCounter(n, counter, propertyFilter, compact, consumer);
} else if (metric instanceof Gauge) {
Gauge gauge = (Gauge) metric;
try {
convertGauge(n, gauge, propertyFilter, simple, compact, separator, consumer);
} catch (InternalError ie) {
if (n.startsWith("memory.") && ie.getMessage().contains("Memory Pool not found")) {
log.warn("Error converting gauge '" + n + "', possible JDK bug: SOLR-10362", ie);
consumer.accept(n, null);
} else {
throw ie;
}
}
} else if (metric instanceof Meter) {
Meter meter = (Meter) metric;
convertMeter(n, meter, propertyFilter, simple, separator, consumer);
} else if (metric instanceof Timer) {
Timer timer = (Timer) metric;
convertTimer(n, timer, propertyFilter, skipHistograms, simple, separator, consumer);
} else if (metric instanceof Histogram) {
if (!skipHistograms) {
Histogram histogram = (Histogram) metric;
convertHistogram(n, histogram, propertyFilter, simple, separator, consumer);
}
} else if (metric instanceof AggregateMetric) {
convertAggregateMetric(n, (AggregateMetric)metric, propertyFilter, skipAggregateValues, simple, separator, consumer);
}
}
/**
* Convert an instance of {@link AggregateMetric}.
* @param name metric name
* @param metric an instance of {@link AggregateMetric}
* @param propertyFilter limit what properties of a metric are returned
* @param skipAggregateValues discard internal values of {@link AggregateMetric}-s.
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
static void convertAggregateMetric(String name, AggregateMetric metric,
PropertyFilter propertyFilter,
boolean skipAggregateValues, boolean simple, String separator, BiConsumer consumer) {
if (simple) {
if (propertyFilter.accept(MEAN)) {
consumer.accept(name + separator + MEAN, metric.getMean());
}
} else {
Map response = new LinkedHashMap<>();
BiConsumer filter = (k, v) -> {
if (propertyFilter.accept(k)) {
response.put(k, v);
}
};
filter.accept("count", metric.size());
filter.accept(MAX, metric.getMax());
filter.accept(MIN, metric.getMin());
filter.accept(MEAN, metric.getMean());
filter.accept(STDDEV, metric.getStdDev());
filter.accept(SUM, metric.getSum());
if (!(metric.isEmpty() || skipAggregateValues)) {
Map values = new LinkedHashMap<>();
response.put(VALUES, values);
metric.getValues().forEach((k, v) -> {
Map map = new LinkedHashMap<>();
map.put("value", v.value);
map.put("updateCount", v.updateCount.get());
values.put(k, map);
});
}
if (!response.isEmpty()) {
consumer.accept(name, response);
}
}
}
/**
* Convert an instance of {@link Histogram}. NOTE: it's assumed that histogram contains non-time
* based values that don't require unit conversion.
* @param name metric name
* @param histogram an instance of {@link Histogram}
* @param propertyFilter limit what properties of a metric are returned
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
static void convertHistogram(String name, Histogram histogram, PropertyFilter propertyFilter,
boolean simple, String separator, BiConsumer consumer) {
Snapshot snapshot = histogram.getSnapshot();
if (simple) {
if (propertyFilter.accept(MEAN)) {
consumer.accept(name + separator + MEAN, snapshot.getMean());
}
} else {
Map response = new LinkedHashMap<>();
String prop = "count";
if (propertyFilter.accept(prop)) {
response.put(prop, histogram.getCount());
}
// non-time based values
addSnapshot(response, snapshot, propertyFilter, false);
if (!response.isEmpty()) {
consumer.accept(name, response);
}
}
}
// optionally convert ns to ms
static double nsToMs(boolean convert, double value) {
if (convert) {
return nsToMs(value);
} else {
return value;
}
}
// some snapshots represent time in ns, other snapshots represent raw values (eg. chunk size)
static void addSnapshot(Map response, Snapshot snapshot, PropertyFilter propertyFilter, boolean ms) {
BiConsumer filter = (k, v) -> {
if (propertyFilter.accept(k)) {
response.put(k, v);
}
};
filter.accept((ms ? MIN_MS: MIN), nsToMs(ms, snapshot.getMin()));
filter.accept((ms ? MAX_MS: MAX), nsToMs(ms, snapshot.getMax()));
filter.accept((ms ? MEAN_MS : MEAN), nsToMs(ms, snapshot.getMean()));
filter.accept((ms ? MEDIAN_MS: MEDIAN), nsToMs(ms, snapshot.getMedian()));
filter.accept((ms ? STDDEV_MS: STDDEV), nsToMs(ms, snapshot.getStdDev()));
filter.accept((ms ? P75_MS: P75), nsToMs(ms, snapshot.get75thPercentile()));
filter.accept((ms ? P95_MS: P95), nsToMs(ms, snapshot.get95thPercentile()));
filter.accept((ms ? P99_MS: P99), nsToMs(ms, snapshot.get99thPercentile()));
filter.accept((ms ? P999_MS: P999), nsToMs(ms, snapshot.get999thPercentile()));
}
/**
* Convert a {@link Timer} to a map.
* @param name metric name
* @param timer timer instance
* @param propertyFilter limit what properties of a metric are returned
* @param skipHistograms if true then discard the histogram part of the timer.
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
public static void convertTimer(String name, Timer timer, PropertyFilter propertyFilter, boolean skipHistograms,
boolean simple, String separator, BiConsumer consumer) {
if (simple) {
String prop = "meanRate";
if (propertyFilter.accept(prop)) {
consumer.accept(name + separator + prop, timer.getMeanRate());
}
} else {
Map response = new LinkedHashMap<>();
BiConsumer filter = (k, v) -> {
if (propertyFilter.accept(k)) {
response.put(k, v);
}
};
filter.accept("count", timer.getCount());
filter.accept("meanRate", timer.getMeanRate());
filter.accept("1minRate", timer.getOneMinuteRate());
filter.accept("5minRate", timer.getFiveMinuteRate());
filter.accept("15minRate", timer.getFifteenMinuteRate());
if (!skipHistograms) {
// time-based values in nanoseconds
addSnapshot(response, timer.getSnapshot(), propertyFilter, true);
}
if (!response.isEmpty()) {
consumer.accept(name, response);
}
}
}
/**
* Convert a {@link Meter} to a map.
* @param name metric name
* @param meter meter instance
* @param propertyFilter limit what properties of a metric are returned
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param consumer consumer that accepts produced objects
*/
static void convertMeter(String name, Meter meter, PropertyFilter propertyFilter, boolean simple, String separator, BiConsumer consumer) {
if (simple) {
if (propertyFilter.accept("count")) {
consumer.accept(name + separator + "count", meter.getCount());
}
} else {
Map response = new LinkedHashMap<>();
BiConsumer filter = (k, v) -> {
if (propertyFilter.accept(k)) {
response.put(k, v);
}
};
filter.accept("count", meter.getCount());
filter.accept("meanRate", meter.getMeanRate());
filter.accept("1minRate", meter.getOneMinuteRate());
filter.accept("5minRate", meter.getFiveMinuteRate());
filter.accept("15minRate", meter.getFifteenMinuteRate());
if (!response.isEmpty()) {
consumer.accept(name, response);
}
}
}
/**
* Convert a {@link Gauge}.
* @param name metric name
* @param gauge gauge instance
* @param propertyFilter limit what properties of a metric are returned
* @param simple use simplified representation for complex metrics - instead of a (name, map)
* only the selected (name "." key, value) pairs will be produced.
* @param compact if true then only return {@link Gauge#getValue()}. If false
* then return a map with a "value" field.
* @param consumer consumer that accepts produced objects
*/
static void convertGauge(String name, Gauge gauge, PropertyFilter propertyFilter, boolean simple, boolean compact,
String separator, BiConsumer consumer) {
if (compact || simple) {
Object o = gauge.getValue();
if (o instanceof Map) {
if (simple) {
for (Map.Entry entry : ((Map)o).entrySet()) {
String prop = entry.getKey().toString();
if (propertyFilter.accept(prop)) {
consumer.accept(name + separator + prop, entry.getValue());
}
}
} else {
Map val = new HashMap<>();
for (Map.Entry entry : ((Map)o).entrySet()) {
String prop = entry.getKey().toString();
if (propertyFilter.accept(prop)) {
val.put(prop, entry.getValue());
}
}
if (!val.isEmpty()) {
consumer.accept(name, val);
}
}
} else {
consumer.accept(name, o);
}
} else {
Object o = gauge.getValue();
Map response = new LinkedHashMap<>();
if (o instanceof Map) {
for (Map.Entry entry : ((Map)o).entrySet()) {
String prop = entry.getKey().toString();
if (propertyFilter.accept(prop)) {
response.put(prop, entry.getValue());
}
}
if (!response.isEmpty()) {
consumer.accept(name, Collections.singletonMap("value", response));
}
} else {
if (propertyFilter.accept("value")) {
response.put("value", o);
consumer.accept(name, response);
}
}
}
}
/**
* Convert a {@link Counter}
* @param counter counter instance
* @param propertyFilter limit what properties of a metric are returned
* @param compact if true then only return {@link Counter#getCount()}. If false
* then return a map with a "count" field.
*/
static void convertCounter(String name, Counter counter, PropertyFilter propertyFilter, boolean compact, BiConsumer consumer) {
if (compact) {
consumer.accept(name, counter.getCount());
} else {
if (propertyFilter.accept("count")) {
Map response = new LinkedHashMap<>();
response.put("count", counter.getCount());
consumer.accept(name, response);
}
}
}
/**
* Returns an instrumented wrapper over the given executor service.
*/
public static ExecutorService instrumentedExecutorService(ExecutorService delegate, SolrInfoBean info, MetricRegistry metricRegistry, String scope) {
if (info != null && info.getMetricNames() != null) {
info.getMetricNames().add(MetricRegistry.name(scope, "submitted"));
info.getMetricNames().add(MetricRegistry.name(scope, "running"));
info.getMetricNames().add(MetricRegistry.name(scope, "completed"));
info.getMetricNames().add(MetricRegistry.name(scope, "duration"));
}
return new InstrumentedExecutorService(delegate, metricRegistry, scope);
}
/**
* Creates a set of metrics (gauges) that correspond to available bean properties for the provided MXBean.
* @param obj an instance of MXBean
* @param intf MXBean interface, one of {@link PlatformManagedObject}-s
* @param consumer consumer for created names and metrics
* @param formal type
*/
public static void addMXBeanMetrics(T obj, Class intf,
String prefix, BiConsumer consumer) {
if (intf.isInstance(obj)) {
BeanInfo beanInfo;
try {
beanInfo = Introspector.getBeanInfo(intf, intf.getSuperclass(), Introspector.IGNORE_ALL_BEANINFO);
} catch (IntrospectionException e) {
log.warn("Unable to fetch properties of MXBean " + obj.getClass().getName());
return;
}
for (final PropertyDescriptor desc : beanInfo.getPropertyDescriptors()) {
final String name = desc.getName();
// test if it works at all
try {
desc.getReadMethod().invoke(obj);
// worked - consume it
final Gauge gauge = () -> {
try {
return desc.getReadMethod().invoke(obj);
} catch (InvocationTargetException ite) {
// ignore (some properties throw UOE)
return null;
} catch (IllegalAccessException e) {
return null;
}
};
String metricName = MetricRegistry.name(prefix, name);
consumer.accept(metricName, gauge);
} catch (Exception e) {
// didn't work, skip it...
}
}
}
}
/**
* These are well-known implementations of {@link java.lang.management.OperatingSystemMXBean}.
* Some of them provide additional useful properties beyond those declared by the interface.
*/
public static String[] OS_MXBEAN_CLASSES = new String[] {
OperatingSystemMXBean.class.getName(),
"com.sun.management.OperatingSystemMXBean",
"com.sun.management.UnixOperatingSystemMXBean",
"com.ibm.lang.management.OperatingSystemMXBean"
};
/**
* Creates a set of metrics (gauges) that correspond to available bean properties for the provided MXBean.
* @param obj an instance of MXBean
* @param interfaces interfaces that it may implement. Each interface will be tried in turn, and only
* if it exists and if it contains unique properties then they will be added as metrics.
* @param prefix optional prefix for metric names
* @param consumer consumer for created names and metrics
* @param formal type
*/
public static void addMXBeanMetrics(T obj, String[] interfaces,
String prefix, BiConsumer consumer) {
for (String clazz : interfaces) {
try {
final Class intf = Class.forName(clazz)
.asSubclass(PlatformManagedObject.class);
MetricUtils.addMXBeanMetrics(obj, intf, null, consumer);
} catch (ClassNotFoundException e) {
// ignore
}
}
}
}
