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/*
 * 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
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package org.apache.flink.runtime.rest.handler.job.metrics;

import org.apache.flink.api.common.time.Time;
import org.apache.flink.runtime.rest.handler.AbstractRestHandler;
import org.apache.flink.runtime.rest.handler.HandlerRequest;
import org.apache.flink.runtime.rest.handler.RestHandlerException;
import org.apache.flink.runtime.rest.handler.legacy.metrics.MetricFetcher;
import org.apache.flink.runtime.rest.handler.legacy.metrics.MetricStore;
import org.apache.flink.runtime.rest.messages.EmptyRequestBody;
import org.apache.flink.runtime.rest.messages.job.metrics.AbstractAggregatedMetricsHeaders;
import org.apache.flink.runtime.rest.messages.job.metrics.AbstractAggregatedMetricsParameters;
import org.apache.flink.runtime.rest.messages.job.metrics.AggregatedMetric;
import org.apache.flink.runtime.rest.messages.job.metrics.AggregatedMetricsResponseBody;
import org.apache.flink.runtime.rest.messages.job.metrics.MetricsAggregationParameter;
import org.apache.flink.runtime.rest.messages.job.metrics.MetricsFilterParameter;
import org.apache.flink.runtime.webmonitor.RestfulGateway;
import org.apache.flink.runtime.webmonitor.retriever.GatewayRetriever;
import org.apache.flink.util.Preconditions;

import org.apache.flink.shaded.netty4.io.netty.handler.codec.http.HttpResponseStatus;

import javax.annotation.Nonnull;
import javax.annotation.Nullable;

import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.CompletionException;
import java.util.concurrent.Executor;
import java.util.stream.Collectors;

/**
 * Abstract request handler for querying aggregated metrics. Subclasses return either a list of all available metrics
 * or the aggregated values of them across all/selected entities.
 *
 * 

If the query parameters do not contain a "get" parameter the list of all metrics is returned. * {@code [ { "id" : "X" } ] } * *

If the query parameters do contain a "get" parameter, a comma-separated list of metric names is expected as a value. * {@code /metrics?get=X,Y} * The handler will then return a list containing the values of the requested metrics. * {@code [ { "id" : "X", "value" : "S" }, { "id" : "Y", "value" : "T" } ] } * *

The "agg" query parameter is used to define which aggregates should be calculated. Available aggregations are * "sum", "max", "min" and "avg". If the parameter is not specified, all aggregations will be returned. * {@code /metrics?get=X,Y&agg=min,max} * The handler will then return a list of objects containing the aggregations for the requested metrics. * {@code [ { "id" : "X", "min", "1", "max", "2" }, { "id" : "Y", "min", "4", "max", "10"}]} */ public abstract class AbstractAggregatingMetricsHandler

> extends AbstractRestHandler { private final Executor executor; private final MetricFetcher fetcher; protected AbstractAggregatingMetricsHandler( GatewayRetriever leaderRetriever, Time timeout, Map responseHeaders, AbstractAggregatedMetricsHeaders

messageHeaders, Executor executor, MetricFetcher fetcher) { super(leaderRetriever, timeout, responseHeaders, messageHeaders); this.executor = Preconditions.checkNotNull(executor); this.fetcher = Preconditions.checkNotNull(fetcher); } @Nonnull abstract Collection getStores(MetricStore store, HandlerRequest request); @Override protected CompletableFuture handleRequest(@Nonnull HandlerRequest request, @Nonnull RestfulGateway gateway) throws RestHandlerException { return CompletableFuture.supplyAsync( () -> { try { fetcher.update(); List requestedMetrics = request.getQueryParameter(MetricsFilterParameter.class); List requestedAggregations = request.getQueryParameter(MetricsAggregationParameter.class); MetricStore store = fetcher.getMetricStore(); Collection stores = getStores(store, request); if (requestedMetrics.isEmpty()) { Collection list = getAvailableMetrics(stores); return new AggregatedMetricsResponseBody( list.stream() .map(AggregatedMetric::new) .collect(Collectors.toList()) ); } DoubleAccumulator.DoubleMinimumFactory minimumFactory = null; DoubleAccumulator.DoubleMaximumFactory maximumFactory = null; DoubleAccumulator.DoubleAverageFactory averageFactory = null; DoubleAccumulator.DoubleSumFactory sumFactory = null; // by default we return all aggregations if (requestedAggregations.isEmpty()) { minimumFactory = DoubleAccumulator.DoubleMinimumFactory.get(); maximumFactory = DoubleAccumulator.DoubleMaximumFactory.get(); averageFactory = DoubleAccumulator.DoubleAverageFactory.get(); sumFactory = DoubleAccumulator.DoubleSumFactory.get(); } else { for (MetricsAggregationParameter.AggregationMode aggregation : requestedAggregations) { switch (aggregation) { case MIN: minimumFactory = DoubleAccumulator.DoubleMinimumFactory.get(); break; case MAX: maximumFactory = DoubleAccumulator.DoubleMaximumFactory.get(); break; case AVG: averageFactory = DoubleAccumulator.DoubleAverageFactory.get(); break; case SUM: sumFactory = DoubleAccumulator.DoubleSumFactory.get(); break; default: log.warn("Unsupported aggregation specified: {}", aggregation); } } } MetricAccumulatorFactory metricAccumulatorFactory = new MetricAccumulatorFactory(minimumFactory, maximumFactory, averageFactory, sumFactory); return getAggregatedMetricValues(stores, requestedMetrics, metricAccumulatorFactory); } catch (Exception e) { log.warn("Could not retrieve metrics.", e); throw new CompletionException(new RestHandlerException("Could not retrieve metrics.", HttpResponseStatus.INTERNAL_SERVER_ERROR)); } }, executor); } /** * Returns a JSON string containing a list of all available metrics in the given stores. Effectively this method maps * the union of all key-sets to JSON. * * @param stores metrics * @return JSON string containing a list of all available metrics */ private static Collection getAvailableMetrics(Collection stores) { Set uniqueMetrics = new HashSet<>(32); for (MetricStore.ComponentMetricStore store : stores) { uniqueMetrics.addAll(store.metrics.keySet()); } return uniqueMetrics; } /** * Extracts and aggregates all requested metrics from the given metric stores, and maps the result to a JSON string. * * @param stores available metrics * @param requestedMetrics ids of requested metrics * @param requestedAggregationsFactories requested aggregations * @return JSON string containing the requested metrics */ private AggregatedMetricsResponseBody getAggregatedMetricValues( Collection stores, List requestedMetrics, MetricAccumulatorFactory requestedAggregationsFactories) { Collection aggregatedMetrics = new ArrayList<>(requestedMetrics.size()); for (String requestedMetric : requestedMetrics) { final Collection values = new ArrayList<>(stores.size()); try { for (MetricStore.ComponentMetricStore store : stores) { String stringValue = store.metrics.get(requestedMetric); if (stringValue != null) { values.add(Double.valueOf(stringValue)); } } } catch (NumberFormatException nfe) { log.warn("The metric {} is not numeric and can't be aggregated.", requestedMetric, nfe); // metric is not numeric so we can't perform aggregations => ignore it continue; } if (!values.isEmpty()) { Iterator valuesIterator = values.iterator(); MetricAccumulator acc = requestedAggregationsFactories.get(requestedMetric, valuesIterator.next()); valuesIterator.forEachRemaining(acc::add); aggregatedMetrics.add(acc.get()); } else { return new AggregatedMetricsResponseBody(Collections.emptyList()); } } return new AggregatedMetricsResponseBody(aggregatedMetrics); } private static class MetricAccumulatorFactory { @Nullable private final DoubleAccumulator.DoubleMinimumFactory minimumFactory; @Nullable private final DoubleAccumulator.DoubleMaximumFactory maximumFactory; @Nullable private final DoubleAccumulator.DoubleAverageFactory averageFactory; @Nullable private final DoubleAccumulator.DoubleSumFactory sumFactory; private MetricAccumulatorFactory( @Nullable DoubleAccumulator.DoubleMinimumFactory minimumFactory, @Nullable DoubleAccumulator.DoubleMaximumFactory maximumFactory, @Nullable DoubleAccumulator.DoubleAverageFactory averageFactory, @Nullable DoubleAccumulator.DoubleSumFactory sumFactory) { this.minimumFactory = minimumFactory; this.maximumFactory = maximumFactory; this.averageFactory = averageFactory; this.sumFactory = sumFactory; } MetricAccumulator get(String metricName, double init) { return new MetricAccumulator( metricName, minimumFactory == null ? null : minimumFactory.get(init), maximumFactory == null ? null : maximumFactory.get(init), averageFactory == null ? null : averageFactory.get(init), sumFactory == null ? null : sumFactory.get(init) ); } } private static class MetricAccumulator { private final String metricName; @Nullable private final DoubleAccumulator min; @Nullable private final DoubleAccumulator max; @Nullable private final DoubleAccumulator avg; @Nullable private final DoubleAccumulator sum; private MetricAccumulator( String metricName, @Nullable DoubleAccumulator min, @Nullable DoubleAccumulator max, @Nullable DoubleAccumulator avg, @Nullable DoubleAccumulator sum) { this.metricName = Preconditions.checkNotNull(metricName); this.min = min; this.max = max; this.avg = avg; this.sum = sum; } void add(double value) { if (min != null) { min.add(value); } if (max != null) { max.add(value); } if (avg != null) { avg.add(value); } if (sum != null) { sum.add(value); } } AggregatedMetric get() { return new AggregatedMetric( metricName, min == null ? null : min.getValue(), max == null ? null : max.getValue(), avg == null ? null : avg.getValue(), sum == null ? null : sum.getValue() ); } } }





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