org.apache.hadoop.metrics2.sink.flume.FlumeTimelineMetricsSink.java Source code

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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
 * limitations under the License.
 */

package org.apache.hadoop.metrics2.sink.flume;

import org.apache.commons.lang.ClassUtils;
import org.apache.commons.lang.math.NumberUtils;
import org.apache.flume.Context;
import org.apache.flume.FlumeException;
import org.apache.flume.instrumentation.MonitorService;
import org.apache.flume.instrumentation.util.JMXPollUtil;
import org.apache.hadoop.metrics2.sink.timeline.TimelineMetric;
import org.apache.hadoop.metrics2.sink.timeline.TimelineMetrics;
import org.apache.hadoop.metrics2.sink.timeline.AbstractTimelineMetricsSink;
import org.apache.hadoop.metrics2.sink.timeline.UnableToConnectException;
import org.apache.hadoop.metrics2.sink.timeline.cache.TimelineMetricsCache;
import org.apache.hadoop.metrics2.sink.timeline.configuration.Configuration;

import java.io.IOException;
import java.net.InetAddress;
import java.net.SocketAddress;
import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;

public class FlumeTimelineMetricsSink extends AbstractTimelineMetricsSink implements MonitorService {
    private String collectorUri;
    private TimelineMetricsCache metricsCache;
    private ScheduledExecutorService scheduledExecutorService;
    private long pollFrequency;
    private String hostname;
    private final static String COUNTER_METRICS_PROPERTY = "counters";
    private final Set<String> counterMetrics = new HashSet<String>();

    @Override
    public void start() {
        LOG.info("Starting Flume Metrics Sink");
        TimelineMetricsCollector timelineMetricsCollector = new TimelineMetricsCollector();
        if (scheduledExecutorService == null || scheduledExecutorService.isShutdown()
                || scheduledExecutorService.isTerminated()) {
            scheduledExecutorService = Executors.newSingleThreadScheduledExecutor();
        }
        scheduledExecutorService.scheduleWithFixedDelay(timelineMetricsCollector, 0, pollFrequency,
                TimeUnit.MILLISECONDS);
    }

    @Override
    public void stop() {
        LOG.info("Stopping Flume Metrics Sink");
        scheduledExecutorService.shutdown();
    }

    @Override
    public void configure(Context context) {
        LOG.info("Context parameters " + context);
        try {
            hostname = InetAddress.getLocalHost().getHostName();
        } catch (UnknownHostException e) {
            LOG.error("Could not identify hostname.");
            throw new FlumeException("Could not identify hostname.", e);
        }
        Configuration configuration = new Configuration("/flume-metrics2.properties");
        int maxRowCacheSize = Integer.parseInt(configuration.getProperty(MAX_METRIC_ROW_CACHE_SIZE,
                String.valueOf(TimelineMetricsCache.MAX_RECS_PER_NAME_DEFAULT)));
        int metricsSendInterval = Integer.parseInt(configuration.getProperty(METRICS_SEND_INTERVAL,
                String.valueOf(TimelineMetricsCache.MAX_EVICTION_TIME_MILLIS)));
        metricsCache = new TimelineMetricsCache(maxRowCacheSize, metricsSendInterval);
        String collectorHostname = configuration.getProperty(COLLECTOR_HOST_PROPERTY);
        String port = configuration.getProperty(COLLECTOR_PORT_PROPERTY);
        collectorUri = "http://" + collectorHostname + ":" + port + "/ws/v1/timeline/metrics";
        pollFrequency = Long.parseLong(configuration.getProperty("collectionFrequency"));

        String[] metrics = configuration.getProperty(COUNTER_METRICS_PROPERTY).trim().split(",");
        Collections.addAll(counterMetrics, metrics);
    }

    @Override
    public String getCollectorUri() {
        return collectorUri;
    }

    public void setPollFrequency(long pollFrequency) {
        this.pollFrequency = pollFrequency;
    }

    public void setMetricsCache(TimelineMetricsCache metricsCache) {
        this.metricsCache = metricsCache;
    }

    /**
     * Worker which polls JMX for all mbeans with
     * {@link javax.management.ObjectName} within the flume namespace:
     * org.apache.flume. All attributes of such beans are sent
     * to the metrics collector service.
     */
    class TimelineMetricsCollector implements Runnable {
        @Override
        public void run() {
            LOG.debug("Collecting Metrics for Flume");
            try {
                Map<String, Map<String, String>> metricsMap = JMXPollUtil.getAllMBeans();
                long currentTimeMillis = System.currentTimeMillis();
                for (String component : metricsMap.keySet()) {
                    Map<String, String> attributeMap = metricsMap.get(component);
                    LOG.info("Attributes for component " + component);
                    processComponentAttributes(currentTimeMillis, component, attributeMap);
                }
            } catch (UnableToConnectException uce) {
                LOG.warn("Unable to send metrics to collector by address:" + uce.getConnectUrl());
            } catch (Exception e) {
                LOG.error("Unexpected error", e);
            }
            LOG.debug("Finished collecting Metrics for Flume");
        }

        private void processComponentAttributes(long currentTimeMillis, String component,
                Map<String, String> attributeMap) throws IOException {
            List<TimelineMetric> metricList = new ArrayList<TimelineMetric>();
            for (String attributeName : attributeMap.keySet()) {
                String attributeValue = attributeMap.get(attributeName);
                if (NumberUtils.isNumber(attributeValue)) {
                    LOG.info(attributeName + " = " + attributeValue);
                    TimelineMetric timelineMetric = createTimelineMetric(currentTimeMillis, component,
                            attributeName, attributeValue);
                    // Put intermediate values into the cache until it is time to send
                    metricsCache.putTimelineMetric(timelineMetric, isCounterMetric(attributeName));

                    TimelineMetric cachedMetric = metricsCache.getTimelineMetric(attributeName);

                    if (cachedMetric != null) {
                        metricList.add(cachedMetric);
                    }
                }
            }

            if (!metricList.isEmpty()) {
                TimelineMetrics timelineMetrics = new TimelineMetrics();
                timelineMetrics.setMetrics(metricList);
                emitMetrics(timelineMetrics);
            }
        }

        private TimelineMetric createTimelineMetric(long currentTimeMillis, String component, String attributeName,
                String attributeValue) {
            TimelineMetric timelineMetric = new TimelineMetric();
            timelineMetric.setMetricName(attributeName);
            timelineMetric.setHostName(hostname);
            timelineMetric.setInstanceId(component);
            timelineMetric.setAppId("FLUME_HANDLER");
            timelineMetric.setStartTime(currentTimeMillis);
            timelineMetric.setType(ClassUtils.getShortCanonicalName(attributeValue, "Number"));
            timelineMetric.getMetricValues().put(currentTimeMillis, Double.parseDouble(attributeValue));
            return timelineMetric;
        }
    }

    private boolean isCounterMetric(String attributeName) {
        return counterMetrics.contains(attributeName);
    }
}