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com.teradata.benchto.driver.graphite.GraphiteMetricsLoader Maven / Gradle / Ivy
/*
* Licensed 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 com.teradata.benchto.driver.graphite;
import com.teradata.benchto.driver.Measurable;
import com.teradata.benchto.driver.execution.BenchmarkExecutionResult;
import com.teradata.benchto.driver.execution.ExecutionSynchronizer;
import com.teradata.benchto.driver.execution.QueryExecutionResult;
import com.teradata.benchto.driver.listeners.measurements.PostExecutionMeasurementProvider;
import com.teradata.benchto.driver.service.Measurement;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
import org.apache.commons.math3.stat.descriptive.StatisticalSummary;
import org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.stereotype.Service;
import javax.annotation.PostConstruct;
import java.time.ZonedDateTime;
import java.time.temporal.ChronoUnit;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.CompletableFuture;
import static com.google.common.base.Preconditions.checkState;
import static com.google.common.collect.Lists.newArrayList;
import static com.google.common.collect.Maps.newHashMap;
import static java.lang.String.format;
import static java.util.Collections.emptyList;
import static java.util.concurrent.CompletableFuture.completedFuture;
@Service
@ConditionalOnProperty(prefix = "benchmark.feature.graphite", value = "metrics.collection.enabled")
public class GraphiteMetricsLoader
implements PostExecutionMeasurementProvider
{
private static final Logger LOG = LoggerFactory.getLogger(GraphiteMetricsLoader.class);
@Autowired
private GraphiteClient graphiteClient;
@Autowired
private GraphiteProperties graphiteProperties;
@Autowired
private ExecutionSynchronizer executionSynchronizer;
private Map queryMetrics;
@PostConstruct
public void initQueryMetrics()
{
queryMetrics = newHashMap();
graphiteProperties.getCpuGraphiteExpr().ifPresent(value -> queryMetrics.put("cpu", value));
graphiteProperties.getMemoryGraphiteExpr().ifPresent(value -> queryMetrics.put("memory", value));
graphiteProperties.getNetworkGraphiteExpr().ifPresent(value -> queryMetrics.put("network", value));
graphiteProperties.getNetworkGraphiteExpr().ifPresent(value -> queryMetrics.put("network_total", format("integral(%s)", value)));
checkState(!queryMetrics.isEmpty(), "No graphite metrics (graphite.metrics.*) provided for measurement collection");
}
@Override
public CompletableFuture> loadMeasurements(Measurable measurable)
{
if (!shouldLoadGraphiteMetrics(measurable)) {
return completedFuture(emptyList());
}
/*
* Graphite can be queried with seconds resolution. It's `from` is exclusive (sic!, at least currently) but `until` is inclusive.
* Subtracting graphite resolution from `until` we effectively ask for the buckets that are fully covered by the `measurable`.
* This ignores first and last bucket (both partially covered), but gives most interesting statistics.
*/
long fromEpochSecond = measurable.getUtcStart().toEpochSecond();
ZonedDateTime to = measurable.getUtcEnd()
.minus(graphiteProperties.getGraphiteResolutionSeconds(), ChronoUnit.SECONDS);
long toEpochSecond = to.toEpochSecond();
if (fromEpochSecond >= toEpochSecond) {
// Empty range
return completedFuture(emptyList());
}
return executionSynchronizer.execute(
to.plus(graphiteProperties.getGraphiteMetricsDelay()).toInstant(),
() -> doLoadMeasurements(fromEpochSecond, toEpochSecond));
}
private List doLoadMeasurements(long fromEpochSecond, long toEpochSecond)
{
LOG.debug("Loading metrics {} - from: {}, to: {}", queryMetrics, fromEpochSecond, toEpochSecond);
Map loadedMetrics = graphiteClient.loadMetrics(queryMetrics, fromEpochSecond, toEpochSecond);
List measurements = newArrayList();
if (graphiteProperties.getCpuGraphiteExpr().isPresent() && loadedMetrics.containsKey("cpu")) {
addMeanMaxMeasurements(loadedMetrics, measurements, "cpu", "PERCENT");
}
if (graphiteProperties.getMemoryGraphiteExpr().isPresent() && loadedMetrics.containsKey("memory")) {
addMeanMaxMeasurements(loadedMetrics, measurements, "memory", "PERCENT");
}
if (graphiteProperties.getMemoryGraphiteExpr().isPresent() && loadedMetrics.containsKey("network")) {
addMeanMaxMeasurements(loadedMetrics, measurements, "network", "BYTES");
}
if (graphiteProperties.getMemoryGraphiteExpr().isPresent() && loadedMetrics.containsKey("network_total")) {
double[] metricValues = loadedMetrics.get("network_total");
if (metricValues.length > 0) {
// last non zero measurement contains total over time
double totalBytes = getLastValueGreaterThanZero(metricValues);
measurements.add(Measurement.measurement("cluster-network_total", "BYTES", totalBytes));
}
}
return measurements;
}
private boolean shouldLoadGraphiteMetrics(Measurable measurable)
{
if (!measurable.isSuccessful()) {
return false;
}
if (measurable instanceof QueryExecutionResult && measurable.getBenchmark().isSerial()) {
return true;
}
else if (measurable instanceof BenchmarkExecutionResult && measurable.getBenchmark().isConcurrent()) {
return true;
}
return false;
}
private void addMeanMaxMeasurements(Map loadedMetrics, List measurements, String metricName, String unit)
{
Optional statistics = getStats(loadedMetrics, metricName);
if (statistics.isPresent()) {
measurements.add(Measurement.measurement("cluster-" + metricName + "_max", unit, statistics.get().getMax()));
measurements.add(Measurement.measurement("cluster-" + metricName + "_mean", unit, statistics.get().getMean()));
}
}
private Optional getStats(Map loadedMetrics, String metricName)
{
double[] metricValues = loadedMetrics.get(metricName);
if (metricValues.length >= 2) {
return Optional.of(new DescriptiveStatistics(metricValues));
}
else if (metricValues.length == 1) {
double value = metricValues[0];
return Optional.of(new StatisticalSummaryValues(value, 0, 1, value, value, value));
}
else {
return Optional.empty();
}
}
private double getLastValueGreaterThanZero(double[] metricValues)
{
for (int i = metricValues.length - 1; i >= 0; --i) {
if (metricValues[i] > 0.0) {
return metricValues[i];
}
}
return 0;
}
}