YARN-6888. Refactor AppLevelTimelineCollector such that RM does not have aggregator threads created. Contributed by Vrushali C.
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a990ff70c2
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3fb71b1393
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@ -18,27 +18,17 @@
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package org.apache.hadoop.yarn.server.timelineservice.collector;
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import com.google.common.util.concurrent.ThreadFactoryBuilder;
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import org.apache.hadoop.classification.InterfaceAudience.Private;
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import org.apache.hadoop.classification.InterfaceStability.Unstable;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.security.UserGroupInformation;
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import org.apache.hadoop.yarn.api.records.ApplicationId;
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import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
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import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
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import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntityType;
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import org.apache.hadoop.yarn.conf.YarnConfiguration;
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import com.google.common.base.Preconditions;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.util.HashSet;
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import java.util.Map;
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import java.util.Set;
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import java.util.concurrent.ScheduledThreadPoolExecutor;
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import java.util.concurrent.TimeUnit;
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/**
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* Service that handles writes to the timeline service and writes them to the
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* backing storage for a given YARN application.
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@ -51,15 +41,8 @@ public class AppLevelTimelineCollector extends TimelineCollector {
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private static final Logger LOG =
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LoggerFactory.getLogger(TimelineCollector.class);
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private final static int AGGREGATION_EXECUTOR_NUM_THREADS = 1;
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private final static int AGGREGATION_EXECUTOR_EXEC_INTERVAL_SECS = 15;
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private static Set<String> entityTypesSkipAggregation
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= initializeSkipSet();
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private final ApplicationId appId;
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private final TimelineCollectorContext context;
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private ScheduledThreadPoolExecutor appAggregationExecutor;
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private AppLevelAggregator appAggregator;
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private UserGroupInformation currentUser;
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public AppLevelTimelineCollector(ApplicationId appId) {
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@ -69,12 +52,8 @@ public class AppLevelTimelineCollector extends TimelineCollector {
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context = new TimelineCollectorContext();
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}
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private static Set<String> initializeSkipSet() {
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Set<String> result = new HashSet<>();
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result.add(TimelineEntityType.YARN_APPLICATION.toString());
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result.add(TimelineEntityType.YARN_FLOW_RUN.toString());
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result.add(TimelineEntityType.YARN_FLOW_ACTIVITY.toString());
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return result;
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public UserGroupInformation getCurrentUser() {
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return currentUser;
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}
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@Override
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@ -92,29 +71,11 @@ public class AppLevelTimelineCollector extends TimelineCollector {
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@Override
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protected void serviceStart() throws Exception {
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// Launch the aggregation thread
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appAggregationExecutor = new ScheduledThreadPoolExecutor(
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AppLevelTimelineCollector.AGGREGATION_EXECUTOR_NUM_THREADS,
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new ThreadFactoryBuilder()
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.setNameFormat("TimelineCollector Aggregation thread #%d")
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.build());
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appAggregator = new AppLevelAggregator();
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appAggregationExecutor.scheduleAtFixedRate(appAggregator,
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AppLevelTimelineCollector.AGGREGATION_EXECUTOR_EXEC_INTERVAL_SECS,
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AppLevelTimelineCollector.AGGREGATION_EXECUTOR_EXEC_INTERVAL_SECS,
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TimeUnit.SECONDS);
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super.serviceStart();
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}
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@Override
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protected void serviceStop() throws Exception {
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appAggregationExecutor.shutdown();
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if (!appAggregationExecutor.awaitTermination(10, TimeUnit.SECONDS)) {
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LOG.info("App-level aggregator shutdown timed out, shutdown now. ");
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appAggregationExecutor.shutdownNow();
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}
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// Perform one round of aggregation after the aggregation executor is done.
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appAggregator.aggregate();
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super.serviceStop();
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}
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@ -123,48 +84,4 @@ public class AppLevelTimelineCollector extends TimelineCollector {
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return context;
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}
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@Override
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protected Set<String> getEntityTypesSkipAggregation() {
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return entityTypesSkipAggregation;
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}
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private class AppLevelAggregator implements Runnable {
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private void aggregate() {
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if (LOG.isDebugEnabled()) {
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LOG.debug("App-level real-time aggregating");
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}
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if (!isReadyToAggregate()) {
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LOG.warn("App-level collector is not ready, skip aggregation. ");
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return;
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}
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try {
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TimelineCollectorContext currContext = getTimelineEntityContext();
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Map<String, AggregationStatusTable> aggregationGroups
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= getAggregationGroups();
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if (aggregationGroups == null
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|| aggregationGroups.isEmpty()) {
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LOG.debug("App-level collector is empty, skip aggregation. ");
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return;
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}
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TimelineEntity resultEntity = TimelineCollector.aggregateWithoutGroupId(
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aggregationGroups, currContext.getAppId(),
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TimelineEntityType.YARN_APPLICATION.toString());
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TimelineEntities entities = new TimelineEntities();
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entities.addEntity(resultEntity);
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putEntitiesAsync(entities, currentUser);
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} catch (Exception e) {
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LOG.error("Error aggregating timeline metrics", e);
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}
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if (LOG.isDebugEnabled()) {
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LOG.debug("App-level real-time aggregation complete");
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}
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}
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@Override
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public void run() {
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aggregate();
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}
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}
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}
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@ -0,0 +1,150 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.yarn.server.timelineservice.collector;
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import com.google.common.util.concurrent.ThreadFactoryBuilder;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.classification.InterfaceAudience.Private;
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import org.apache.hadoop.classification.InterfaceStability.Unstable;
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import org.apache.hadoop.yarn.api.records.ApplicationId;
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import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
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import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
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import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntityType;
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import org.apache.hadoop.conf.Configuration;
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import java.util.HashSet;
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import java.util.Map;
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import java.util.Set;
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import java.util.concurrent.ScheduledThreadPoolExecutor;
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import java.util.concurrent.TimeUnit;
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/**
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* Service that handles aggregations for applications
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* and makes use of {@link AppLevelTimelineCollector} class for
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* writes to Timeline Service.
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*
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* App-related lifecycle management is handled by this service.
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*/
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@Private
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@Unstable
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public class AppLevelTimelineCollectorWithAgg
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extends AppLevelTimelineCollector {
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private static final Log LOG = LogFactory.getLog(TimelineCollector.class);
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private final static int AGGREGATION_EXECUTOR_NUM_THREADS = 1;
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private final static int AGGREGATION_EXECUTOR_EXEC_INTERVAL_SECS = 15;
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private static Set<String> entityTypesSkipAggregation
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= initializeSkipSet();
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private ScheduledThreadPoolExecutor appAggregationExecutor;
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private AppLevelAggregator appAggregator;
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public AppLevelTimelineCollectorWithAgg(ApplicationId appId) {
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super(appId);
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}
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private static Set<String> initializeSkipSet() {
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Set<String> result = new HashSet<>();
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result.add(TimelineEntityType.YARN_APPLICATION.toString());
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result.add(TimelineEntityType.YARN_FLOW_RUN.toString());
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result.add(TimelineEntityType.YARN_FLOW_ACTIVITY.toString());
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return result;
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}
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@Override
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protected void serviceInit(Configuration conf) throws Exception {
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super.serviceInit(conf);
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}
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@Override
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protected void serviceStart() throws Exception {
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// Launch the aggregation thread
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appAggregationExecutor = new ScheduledThreadPoolExecutor(
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AppLevelTimelineCollectorWithAgg.AGGREGATION_EXECUTOR_NUM_THREADS,
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new ThreadFactoryBuilder()
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.setNameFormat("TimelineCollector Aggregation thread #%d")
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.build());
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appAggregator = new AppLevelAggregator();
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appAggregationExecutor.scheduleAtFixedRate(appAggregator,
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AppLevelTimelineCollectorWithAgg.
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AGGREGATION_EXECUTOR_EXEC_INTERVAL_SECS,
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AppLevelTimelineCollectorWithAgg.
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AGGREGATION_EXECUTOR_EXEC_INTERVAL_SECS,
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TimeUnit.SECONDS);
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super.serviceStart();
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}
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@Override
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protected void serviceStop() throws Exception {
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appAggregationExecutor.shutdown();
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if (!appAggregationExecutor.awaitTermination(10, TimeUnit.SECONDS)) {
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LOG.info("App-level aggregator shutdown timed out, shutdown now. ");
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appAggregationExecutor.shutdownNow();
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}
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// Perform one round of aggregation after the aggregation executor is done.
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appAggregator.aggregate();
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super.serviceStop();
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}
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@Override
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protected Set<String> getEntityTypesSkipAggregation() {
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return entityTypesSkipAggregation;
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}
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private class AppLevelAggregator implements Runnable {
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private void aggregate() {
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if (LOG.isDebugEnabled()) {
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LOG.debug("App-level real-time aggregating");
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}
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if (!isReadyToAggregate()) {
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LOG.warn("App-level collector is not ready, skip aggregation. ");
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return;
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}
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try {
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TimelineCollectorContext currContext = getTimelineEntityContext();
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Map<String, AggregationStatusTable> aggregationGroups
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= getAggregationGroups();
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if (aggregationGroups == null
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|| aggregationGroups.isEmpty()) {
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LOG.debug("App-level collector is empty, skip aggregation. ");
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return;
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}
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TimelineEntity resultEntity = TimelineCollector.aggregateWithoutGroupId(
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aggregationGroups, currContext.getAppId(),
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TimelineEntityType.YARN_APPLICATION.toString());
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TimelineEntities entities = new TimelineEntities();
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entities.addEntity(resultEntity);
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putEntitiesAsync(entities, getCurrentUser());
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} catch (Exception e) {
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LOG.error("Error aggregating timeline metrics", e);
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}
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if (LOG.isDebugEnabled()) {
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LOG.debug("App-level real-time aggregation complete");
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}
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}
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@Override
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public void run() {
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aggregate();
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}
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}
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}
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@ -118,7 +118,7 @@ public class PerNodeTimelineCollectorsAuxService extends AuxiliaryService {
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*/
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public boolean addApplication(ApplicationId appId) {
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AppLevelTimelineCollector collector =
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new AppLevelTimelineCollector(appId);
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new AppLevelTimelineCollectorWithAgg(appId);
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return (collectorManager.putIfAbsent(appId, collector)
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== collector);
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}
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@ -95,7 +95,7 @@ public class TestNMTimelineCollectorManager {
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Callable<Boolean> task = new Callable<Boolean>() {
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public Boolean call() {
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AppLevelTimelineCollector collector =
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new AppLevelTimelineCollector(appId);
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new AppLevelTimelineCollectorWithAgg(appId);
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return (collectorManager.putIfAbsent(appId, collector) == collector);
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}
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};
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@ -126,7 +126,7 @@ public class TestNMTimelineCollectorManager {
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Callable<Boolean> task = new Callable<Boolean>() {
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public Boolean call() {
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AppLevelTimelineCollector collector =
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new AppLevelTimelineCollector(appId);
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new AppLevelTimelineCollectorWithAgg(appId);
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boolean successPut =
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(collectorManager.putIfAbsent(appId, collector) == collector);
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return successPut && collectorManager.remove(appId);
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