MAPREDUCE-6337. Added a mode to replay MR job history files and put them into the timeline service v2. Contributed by Sangjin Lee.

(cherry picked from commit 463e070a8e7c882706a96eaa20ea49bfe9982875)

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapred/JobHistoryFileParser.java

@@ -0,0 +1,53 @@
+/**
+ * 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.mapred;
+
+import java.io.IOException;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.mapreduce.jobhistory.JobHistoryParser;
+import org.apache.hadoop.mapreduce.jobhistory.JobHistoryParser.JobInfo;
+
+class JobHistoryFileParser {
+  private static final Log LOG = LogFactory.getLog(JobHistoryFileParser.class);
+
+  private final FileSystem fs;
+
+  public JobHistoryFileParser(FileSystem fs) {
+    LOG.info("JobHistoryFileParser created with " + fs);
+    this.fs = fs;
+  }
+
+  public JobInfo parseHistoryFile(Path path) throws IOException {
+    LOG.info("parsing job history file " + path);
+    JobHistoryParser parser = new JobHistoryParser(fs, path);
+    return parser.parse();
+  }
+
+  public Configuration parseConfiguration(Path path) throws IOException {
+    LOG.info("parsing job configuration file " + path);
+    Configuration conf = new Configuration(false);
+    conf.addResource(fs.open(path));
+    return conf;
+  }
+}

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapred/JobHistoryFileReplayMapper.java

@@ -0,0 +1,301 @@
+/**
+ * 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.mapred;
+
+import java.io.IOException;
+import java.util.Collection;
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Set;
+import java.util.concurrent.TimeUnit;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.LocatedFileStatus;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.fs.RemoteIterator;
+import org.apache.hadoop.mapred.TimelineServicePerformanceV2.EntityWriter;
+import org.apache.hadoop.mapred.TimelineServicePerformanceV2.PerfCounters;
+import org.apache.hadoop.mapreduce.MRJobConfig;
+import org.apache.hadoop.mapreduce.TypeConverter;
+import org.apache.hadoop.mapreduce.jobhistory.JobHistoryParser.JobInfo;
+import org.apache.hadoop.mapreduce.v2.api.records.JobId;
+import org.apache.hadoop.security.UserGroupInformation;
+import org.apache.hadoop.yarn.api.records.ApplicationId;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
+import org.apache.hadoop.yarn.server.timelineservice.collector.AppLevelTimelineCollector;
+import org.apache.hadoop.yarn.server.timelineservice.collector.TimelineCollectorContext;
+import org.apache.hadoop.yarn.server.timelineservice.collector.TimelineCollectorManager;
+
+/**
+ * Mapper for TimelineServicePerformanceV2 that replays job history files to the
+ * timeline service.
+ *
+ */
+class JobHistoryFileReplayMapper extends EntityWriter {
+  private static final Log LOG =
+      LogFactory.getLog(JobHistoryFileReplayMapper.class);
+
+  static final String PROCESSING_PATH = "processing path";
+  static final String REPLAY_MODE = "replay mode";
+  static final int WRITE_ALL_AT_ONCE = 1;
+  static final int WRITE_PER_ENTITY = 2;
+  static final int REPLAY_MODE_DEFAULT = WRITE_ALL_AT_ONCE;
+
+  private static final Pattern JOB_ID_PARSER =
+      Pattern.compile("^(job_[0-9]+_([0-9]+)).*");
+
+  public static class JobFiles {
+    private final String jobId;
+    private Path jobHistoryFilePath;
+    private Path jobConfFilePath;
+
+    public JobFiles(String jobId) {
+      this.jobId = jobId;
+    }
+
+    public String getJobId() {
+      return jobId;
+    }
+
+    public Path getJobHistoryFilePath() {
+      return jobHistoryFilePath;
+    }
+
+    public void setJobHistoryFilePath(Path jobHistoryFilePath) {
+      this.jobHistoryFilePath = jobHistoryFilePath;
+    }
+
+    public Path getJobConfFilePath() {
+      return jobConfFilePath;
+    }
+
+    public void setJobConfFilePath(Path jobConfFilePath) {
+      this.jobConfFilePath = jobConfFilePath;
+    }
+
+    @Override
+    public int hashCode() {
+      return jobId.hashCode();
+    }
+
+    @Override
+    public boolean equals(Object obj) {
+      if (this == obj) {
+        return true;
+      }
+      if (obj == null) {
+        return false;
+      }
+      if (getClass() != obj.getClass()) {
+        return false;
+      }
+      JobFiles other = (JobFiles) obj;
+      return jobId.equals(other.jobId);
+    }
+  }
+
+  private enum FileType { JOB_HISTORY_FILE, JOB_CONF_FILE, UNKNOWN }
+
+
+  @Override
+  protected void writeEntities(Configuration tlConf,
+      TimelineCollectorManager manager, Context context) throws IOException {
+    // collect the apps it needs to process
+    Configuration conf = context.getConfiguration();
+    int taskId = context.getTaskAttemptID().getTaskID().getId();
+    int size = conf.getInt(MRJobConfig.NUM_MAPS,
+        TimelineServicePerformanceV2.NUM_MAPS_DEFAULT);
+    String processingDir =
+        conf.get(JobHistoryFileReplayMapper.PROCESSING_PATH);
+    int replayMode =
+        conf.getInt(JobHistoryFileReplayMapper.REPLAY_MODE,
+        JobHistoryFileReplayMapper.REPLAY_MODE_DEFAULT);
+    Path processingPath = new Path(processingDir);
+    FileSystem processingFs = processingPath.getFileSystem(conf);
+    JobHistoryFileParser parser = new JobHistoryFileParser(processingFs);
+    TimelineEntityConverter converter = new TimelineEntityConverter();
+
+    Collection<JobFiles> jobs =
+        selectJobFiles(processingFs, processingPath, taskId, size);
+    if (jobs.isEmpty()) {
+      LOG.info(context.getTaskAttemptID().getTaskID() +
+          " will process no jobs");
+    } else {
+      LOG.info(context.getTaskAttemptID().getTaskID() + " will process " +
+          jobs.size() + " jobs");
+    }
+    for (JobFiles job: jobs) {
+      // process each job
+      String jobIdStr = job.getJobId();
+      LOG.info("processing " + jobIdStr + "...");
+      JobId jobId = TypeConverter.toYarn(JobID.forName(jobIdStr));
+      ApplicationId appId = jobId.getAppId();
+
+      // create the app level timeline collector and start it
+      AppLevelTimelineCollector collector =
+          new AppLevelTimelineCollector(appId);
+      manager.putIfAbsent(appId, collector);
+      try {
+        // parse the job info and configuration
+        JobInfo jobInfo =
+            parser.parseHistoryFile(job.getJobHistoryFilePath());
+        Configuration jobConf =
+            parser.parseConfiguration(job.getJobConfFilePath());
+        LOG.info("parsed the job history file and the configuration file for job"
+            + jobIdStr);
+
+        // set the context
+        // flow id: job name, flow run id: timestamp, user id
+        TimelineCollectorContext tlContext =
+            collector.getTimelineEntityContext();
+        tlContext.setFlowName(jobInfo.getJobname());
+        tlContext.setFlowRunId(jobInfo.getSubmitTime());
+        tlContext.setUserId(jobInfo.getUsername());
+
+        // create entities from job history and write them
+        long totalTime = 0;
+        Set<TimelineEntity> entitySet =
+            converter.createTimelineEntities(jobInfo, jobConf);
+        LOG.info("converted them into timeline entities for job " + jobIdStr);
+        // use the current user for this purpose
+        UserGroupInformation ugi = UserGroupInformation.getCurrentUser();
+        long startWrite = System.nanoTime();
+        try {
+          switch (replayMode) {
+          case JobHistoryFileReplayMapper.WRITE_ALL_AT_ONCE:
+            writeAllEntities(collector, entitySet, ugi);
+            break;
+          case JobHistoryFileReplayMapper.WRITE_PER_ENTITY:
+            writePerEntity(collector, entitySet, ugi);
+            break;
+          default:
+            break;
+          }
+        } catch (Exception e) {
+          context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_FAILURES).
+              increment(1);
+          LOG.error("writing to the timeline service failed", e);
+        }
+        long endWrite = System.nanoTime();
+        totalTime += TimeUnit.NANOSECONDS.toMillis(endWrite-startWrite);
+        int numEntities = entitySet.size();
+        LOG.info("wrote " + numEntities + " entities in " + totalTime + " ms");
+
+        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_TIME).
+            increment(totalTime);
+        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_COUNTER).
+            increment(numEntities);
+      } finally {
+        manager.remove(appId);
+        context.progress(); // move it along
+      }
+    }
+  }
+
+  private void writeAllEntities(AppLevelTimelineCollector collector,
+      Set<TimelineEntity> entitySet, UserGroupInformation ugi)
+      throws IOException {
+    TimelineEntities entities = new TimelineEntities();
+    entities.setEntities(entitySet);
+    collector.putEntities(entities, ugi);
+  }
+
+  private void writePerEntity(AppLevelTimelineCollector collector,
+      Set<TimelineEntity> entitySet, UserGroupInformation ugi)
+      throws IOException {
+    for (TimelineEntity entity : entitySet) {
+      TimelineEntities entities = new TimelineEntities();
+      entities.addEntity(entity);
+      collector.putEntities(entities, ugi);
+      LOG.info("wrote entity " + entity.getId());
+    }
+  }
+
+  private Collection<JobFiles> selectJobFiles(FileSystem fs,
+      Path processingRoot, int i, int size) throws IOException {
+    Map<String,JobFiles> jobs = new HashMap<>();
+    RemoteIterator<LocatedFileStatus> it = fs.listFiles(processingRoot, true);
+    while (it.hasNext()) {
+      LocatedFileStatus status = it.next();
+      Path path = status.getPath();
+      String fileName = path.getName();
+      Matcher m = JOB_ID_PARSER.matcher(fileName);
+      if (!m.matches()) {
+        continue;
+      }
+      String jobId = m.group(1);
+      int lastId = Integer.parseInt(m.group(2));
+      int mod = lastId % size;
+      if (mod != i) {
+        continue;
+      }
+      LOG.info("this mapper will process file " + fileName);
+      // it's mine
+      JobFiles jobFiles = jobs.get(jobId);
+      if (jobFiles == null) {
+        jobFiles = new JobFiles(jobId);
+        jobs.put(jobId, jobFiles);
+      }
+      setFilePath(fileName, path, jobFiles);
+    }
+    return jobs.values();
+  }
+
+  private void setFilePath(String fileName, Path path,
+      JobFiles jobFiles) {
+    // determine if we're dealing with a job history file or a job conf file
+    FileType type = getFileType(fileName);
+    switch (type) {
+    case JOB_HISTORY_FILE:
+      if (jobFiles.getJobHistoryFilePath() == null) {
+        jobFiles.setJobHistoryFilePath(path);
+      } else {
+        LOG.warn("we already have the job history file " +
+            jobFiles.getJobHistoryFilePath() + ": skipping " + path);
+      }
+      break;
+    case JOB_CONF_FILE:
+      if (jobFiles.getJobConfFilePath() == null) {
+        jobFiles.setJobConfFilePath(path);
+      } else {
+        LOG.warn("we already have the job conf file " +
+            jobFiles.getJobConfFilePath() + ": skipping " + path);
+      }
+      break;
+    case UNKNOWN:
+      LOG.warn("unknown type: " + path);
+    }
+  }
+
+  private FileType getFileType(String fileName) {
+    if (fileName.endsWith(".jhist")) {
+      return FileType.JOB_HISTORY_FILE;
+    }
+    if (fileName.endsWith("_conf.xml")) {
+      return FileType.JOB_CONF_FILE;
+    }
+    return FileType.UNKNOWN;
+  }
+}

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapred/SimpleEntityWriter.java

@@ -0,0 +1,139 @@
+/**
+ * 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.mapred;
+
+import java.io.IOException;
+import java.util.Random;
+import java.util.concurrent.TimeUnit;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.mapred.TimelineServicePerformanceV2.EntityWriter;
+import org.apache.hadoop.mapred.TimelineServicePerformanceV2.PerfCounters;
+import org.apache.hadoop.mapreduce.TaskAttemptID;
+import org.apache.hadoop.security.UserGroupInformation;
+import org.apache.hadoop.yarn.api.records.ApplicationId;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
+import org.apache.hadoop.yarn.server.timelineservice.collector.AppLevelTimelineCollector;
+import org.apache.hadoop.yarn.server.timelineservice.collector.TimelineCollectorContext;
+import org.apache.hadoop.yarn.server.timelineservice.collector.TimelineCollectorManager;
+
+/**
+   * Adds simple entities with random string payload, events, metrics, and
+   * configuration.
+   */
+class SimpleEntityWriter extends EntityWriter {
+  private static final Log LOG = LogFactory.getLog(SimpleEntityWriter.class);
+
+  // constants for mtype = 1
+  static final String KBS_SENT = "kbs sent";
+  static final int KBS_SENT_DEFAULT = 1;
+  static final String TEST_TIMES = "testtimes";
+  static final int TEST_TIMES_DEFAULT = 100;
+  static final String TIMELINE_SERVICE_PERFORMANCE_RUN_ID =
+      "timeline.server.performance.run.id";
+
+  protected void writeEntities(Configuration tlConf,
+      TimelineCollectorManager manager, Context context) throws IOException {
+    Configuration conf = context.getConfiguration();
+    // simulate the app id with the task id
+    int taskId = context.getTaskAttemptID().getTaskID().getId();
+    long timestamp = conf.getLong(TIMELINE_SERVICE_PERFORMANCE_RUN_ID, 0);
+    ApplicationId appId = ApplicationId.newInstance(timestamp, taskId);
+
+    // create the app level timeline collector
+    AppLevelTimelineCollector collector =
+        new AppLevelTimelineCollector(appId);
+    manager.putIfAbsent(appId, collector);
+
+    try {
+      // set the context
+      // flow id: job name, flow run id: timestamp, user id
+      TimelineCollectorContext tlContext =
+          collector.getTimelineEntityContext();
+      tlContext.setFlowName(context.getJobName());
+      tlContext.setFlowRunId(timestamp);
+      tlContext.setUserId(context.getUser());
+
+      final int kbs = conf.getInt(KBS_SENT, KBS_SENT_DEFAULT);
+
+      long totalTime = 0;
+      final int testtimes = conf.getInt(TEST_TIMES, TEST_TIMES_DEFAULT);
+      final Random rand = new Random();
+      final TaskAttemptID taskAttemptId = context.getTaskAttemptID();
+      final char[] payLoad = new char[kbs * 1024];
+
+      for (int i = 0; i < testtimes; i++) {
+        // Generate a fixed length random payload
+        for (int xx = 0; xx < kbs * 1024; xx++) {
+          int alphaNumIdx =
+              rand.nextInt(TimelineServicePerformanceV2.alphaNums.length);
+          payLoad[xx] = TimelineServicePerformanceV2.alphaNums[alphaNumIdx];
+        }
+        String entId = taskAttemptId + "_" + Integer.toString(i);
+        final TimelineEntity entity = new TimelineEntity();
+        entity.setId(entId);
+        entity.setType("FOO_ATTEMPT");
+        entity.addInfo("PERF_TEST", payLoad);
+        // add an event
+        TimelineEvent event = new TimelineEvent();
+        event.setTimestamp(System.currentTimeMillis());
+        event.addInfo("foo_event", "test");
+        entity.addEvent(event);
+        // add a metric
+        TimelineMetric metric = new TimelineMetric();
+        metric.setId("foo_metric");
+        metric.addValue(System.currentTimeMillis(), 123456789L);
+        entity.addMetric(metric);
+        // add a config
+        entity.addConfig("foo", "bar");
+
+        TimelineEntities entities = new TimelineEntities();
+        entities.addEntity(entity);
+        // use the current user for this purpose
+        UserGroupInformation ugi = UserGroupInformation.getCurrentUser();
+        long startWrite = System.nanoTime();
+        try {
+          collector.putEntities(entities, ugi);
+        } catch (Exception e) {
+          context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_FAILURES).
+              increment(1);
+          LOG.error("writing to the timeline service failed", e);
+        }
+        long endWrite = System.nanoTime();
+        totalTime += TimeUnit.NANOSECONDS.toMillis(endWrite-startWrite);
+      }
+      LOG.info("wrote " + testtimes + " entities (" + kbs*testtimes +
+          " kB) in " + totalTime + " ms");
+      context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_TIME).
+          increment(totalTime);
+      context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_COUNTER).
+          increment(testtimes);
+      context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_KBS).
+          increment(kbs*testtimes);
+    } finally {
+      // clean up
+      manager.remove(appId);
+    }
+  }
+}

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapred/TimelineEntityConverter.java

@@ -0,0 +1,207 @@
+/**
+ * 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.mapred;
+
+import java.util.HashSet;
+import java.util.Map;
+import java.util.Set;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.mapreduce.Counter;
+import org.apache.hadoop.mapreduce.CounterGroup;
+import org.apache.hadoop.mapreduce.Counters;
+import org.apache.hadoop.mapreduce.TaskAttemptID;
+import org.apache.hadoop.mapreduce.TaskID;
+import org.apache.hadoop.mapreduce.jobhistory.JobHistoryParser.JobInfo;
+import org.apache.hadoop.mapreduce.jobhistory.JobHistoryParser.TaskAttemptInfo;
+import org.apache.hadoop.mapreduce.jobhistory.JobHistoryParser.TaskInfo;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
+import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
+
+class TimelineEntityConverter {
+  private static final Log LOG =
+      LogFactory.getLog(TimelineEntityConverter.class);
+
+  static final String JOB = "MAPREDUCE_JOB";
+  static final String TASK = "MAPREDUCE_TASK";
+  static final String TASK_ATTEMPT = "MAPREDUCE_TASK_ATTEMPT";
+
+  /**
+   * Creates job, task, and task attempt entities based on the job history info
+   * and configuration.
+   *
+   * Note: currently these are plan timeline entities created for mapreduce
+   * types. These are not meant to be the complete and accurate entity set-up
+   * for mapreduce jobs. We do not leverage hierarchical timeline entities. If
+   * we create canonical mapreduce hierarchical timeline entities with proper
+   * parent-child relationship, we could modify this to use that instead.
+   *
+   * Note that we also do not add info to the YARN application entity, which
+   * would be needed for aggregation.
+   */
+  public Set<TimelineEntity> createTimelineEntities(JobInfo jobInfo,
+      Configuration conf) {
+    Set<TimelineEntity> entities = new HashSet<>();
+
+    // create the job entity
+    TimelineEntity job = createJobEntity(jobInfo, conf);
+    entities.add(job);
+
+    // create the task and task attempt entities
+    Set<TimelineEntity> tasksAndAttempts =
+        createTaskAndTaskAttemptEntities(jobInfo);
+    entities.addAll(tasksAndAttempts);
+
+    return entities;
+  }
+
+  private TimelineEntity createJobEntity(JobInfo jobInfo, Configuration conf) {
+    TimelineEntity job = new TimelineEntity();
+    job.setType(JOB);
+    job.setId(jobInfo.getJobId().toString());
+    job.setCreatedTime(jobInfo.getSubmitTime());
+
+    job.addInfo("JOBNAME", jobInfo.getJobname());
+    job.addInfo("USERNAME", jobInfo.getUsername());
+    job.addInfo("JOB_QUEUE_NAME", jobInfo.getJobQueueName());
+    job.addInfo("SUBMIT_TIME", jobInfo.getSubmitTime());
+    job.addInfo("LAUNCH_TIME", jobInfo.getLaunchTime());
+    job.addInfo("FINISH_TIME", jobInfo.getFinishTime());
+    job.addInfo("JOB_STATUS", jobInfo.getJobStatus());
+    job.addInfo("PRIORITY", jobInfo.getPriority());
+    job.addInfo("TOTAL_MAPS", jobInfo.getTotalMaps());
+    job.addInfo("TOTAL_REDUCES", jobInfo.getTotalReduces());
+    job.addInfo("UBERIZED", jobInfo.getUberized());
+    job.addInfo("ERROR_INFO", jobInfo.getErrorInfo());
+
+    // add metrics from total counters
+    // we omit the map counters and reduce counters for now as it's kind of
+    // awkward to put them (map/reduce/total counters are really a group of
+    // related counters)
+    Counters totalCounters = jobInfo.getTotalCounters();
+    if (totalCounters != null) {
+      addMetrics(job, totalCounters);
+    }
+    // finally add configuration to the job
+    addConfiguration(job, conf);
+    LOG.info("converted job " + jobInfo.getJobId() + " to a timeline entity");
+    return job;
+  }
+
+  private void addConfiguration(TimelineEntity job, Configuration conf) {
+    for (Map.Entry<String,String> e: conf) {
+      job.addConfig(e.getKey(), e.getValue());
+    }
+  }
+
+  private void addMetrics(TimelineEntity entity, Counters counters) {
+    for (CounterGroup g: counters) {
+      String groupName = g.getName();
+      for (Counter c: g) {
+        String name = groupName + ":" + c.getName();
+        TimelineMetric metric = new TimelineMetric();
+        metric.setId(name);
+        metric.addValue(System.currentTimeMillis(), c.getValue());
+        entity.addMetric(metric);
+      }
+    }
+  }
+
+  private Set<TimelineEntity> createTaskAndTaskAttemptEntities(JobInfo jobInfo) {
+    Set<TimelineEntity> entities = new HashSet<>();
+    Map<TaskID,TaskInfo> taskInfoMap = jobInfo.getAllTasks();
+    LOG.info("job " + jobInfo.getJobId()+ " has " + taskInfoMap.size() +
+        " tasks");
+    for (TaskInfo taskInfo: taskInfoMap.values()) {
+      TimelineEntity task = createTaskEntity(taskInfo);
+      entities.add(task);
+      // add the task attempts from this task
+      Set<TimelineEntity> taskAttempts = createTaskAttemptEntities(taskInfo);
+      entities.addAll(taskAttempts);
+    }
+    return entities;
+  }
+
+  private TimelineEntity createTaskEntity(TaskInfo taskInfo) {
+    TimelineEntity task = new TimelineEntity();
+    task.setType(TASK);
+    task.setId(taskInfo.getTaskId().toString());
+    task.setCreatedTime(taskInfo.getStartTime());
+
+    task.addInfo("START_TIME", taskInfo.getStartTime());
+    task.addInfo("FINISH_TIME", taskInfo.getFinishTime());
+    task.addInfo("TASK_TYPE", taskInfo.getTaskType());
+    task.addInfo("TASK_STATUS", taskInfo.getTaskStatus());
+    task.addInfo("ERROR_INFO", taskInfo.getError());
+
+    // add metrics from counters
+    Counters counters = taskInfo.getCounters();
+    if (counters != null) {
+      addMetrics(task, counters);
+    }
+    LOG.info("converted task " + taskInfo.getTaskId() +
+        " to a timeline entity");
+    return task;
+  }
+
+  private Set<TimelineEntity> createTaskAttemptEntities(TaskInfo taskInfo) {
+    Set<TimelineEntity> taskAttempts = new HashSet<TimelineEntity>();
+    Map<TaskAttemptID,TaskAttemptInfo> taskAttemptInfoMap =
+        taskInfo.getAllTaskAttempts();
+    LOG.info("task " + taskInfo.getTaskId() + " has " +
+        taskAttemptInfoMap.size() + " task attempts");
+    for (TaskAttemptInfo taskAttemptInfo: taskAttemptInfoMap.values()) {
+      TimelineEntity taskAttempt = createTaskAttemptEntity(taskAttemptInfo);
+      taskAttempts.add(taskAttempt);
+    }
+    return taskAttempts;
+  }
+
+  private TimelineEntity createTaskAttemptEntity(TaskAttemptInfo taskAttemptInfo) {
+    TimelineEntity taskAttempt = new TimelineEntity();
+    taskAttempt.setType(TASK_ATTEMPT);
+    taskAttempt.setId(taskAttemptInfo.getAttemptId().toString());
+    taskAttempt.setCreatedTime(taskAttemptInfo.getStartTime());
+
+    taskAttempt.addInfo("START_TIME", taskAttemptInfo.getStartTime());
+    taskAttempt.addInfo("FINISH_TIME", taskAttemptInfo.getFinishTime());
+    taskAttempt.addInfo("MAP_FINISH_TIME",
+        taskAttemptInfo.getMapFinishTime());
+    taskAttempt.addInfo("SHUFFLE_FINISH_TIME",
+        taskAttemptInfo.getShuffleFinishTime());
+    taskAttempt.addInfo("SORT_FINISH_TIME",
+        taskAttemptInfo.getSortFinishTime());
+    taskAttempt.addInfo("TASK_STATUS", taskAttemptInfo.getTaskStatus());
+    taskAttempt.addInfo("STATE", taskAttemptInfo.getState());
+    taskAttempt.addInfo("ERROR", taskAttemptInfo.getError());
+    taskAttempt.addInfo("CONTAINER_ID",
+        taskAttemptInfo.getContainerId().toString());
+
+    // add metrics from counters
+    Counters counters = taskAttemptInfo.getCounters();
+    if (counters != null) {
+      addMetrics(taskAttempt, counters);
+    }
+    LOG.info("converted task attempt " + taskAttemptInfo.getAttemptId() +
+        " to a timeline entity");
+    return taskAttempt;
+  }
+}

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapred/TimelineServicePerformanceV2.java

@@ -20,10 +20,7 @@
 
 import java.io.IOException;
 import java.util.Date;
-import java.util.Random;
 
-import org.apache.commons.logging.Log;
-import org.apache.commons.logging.LogFactory;
 import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.conf.Configured;
 import org.apache.hadoop.io.IntWritable;
@@ -31,49 +28,35 @@
 import org.apache.hadoop.mapreduce.Job;
 import org.apache.hadoop.mapreduce.MRJobConfig;
 import org.apache.hadoop.mapreduce.SleepJob.SleepInputFormat;
-import org.apache.hadoop.mapreduce.TaskAttemptID;
 import org.apache.hadoop.mapreduce.lib.output.NullOutputFormat;
-import org.apache.hadoop.security.UserGroupInformation;
 import org.apache.hadoop.util.GenericOptionsParser;
 import org.apache.hadoop.util.Tool;
 import org.apache.hadoop.util.ToolRunner;
-import org.apache.hadoop.yarn.api.records.ApplicationId;
-import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
-import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
-import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent;
-import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
 import org.apache.hadoop.yarn.conf.YarnConfiguration;
-import org.apache.hadoop.yarn.server.timelineservice.collector.AppLevelTimelineCollector;
+import org.apache.hadoop.yarn.server.timelineservice.collector.TimelineCollectorManager;
-import org.apache.hadoop.yarn.server.timelineservice.collector.TimelineCollectorContext;
 
 public class TimelineServicePerformanceV2 extends Configured implements Tool {
-  private static final Log LOG =
-      LogFactory.getLog(TimelineServicePerformanceV2.class);
-
   static final int NUM_MAPS_DEFAULT = 1;
 
   static final int SIMPLE_ENTITY_WRITER = 1;
-  // constants for mtype = 1
+  static final int JOB_HISTORY_FILE_REPLAY_MAPPER = 2;
-  static final String KBS_SENT = "kbs sent";
-  static final int KBS_SENT_DEFAULT = 1;
-  static final String TEST_TIMES = "testtimes";
-  static final int TEST_TIMES_DEFAULT = 100;
-  static final String TIMELINE_SERVICE_PERFORMANCE_RUN_ID =
-      "timeline.server.performance.run.id";
-
   static int mapperType = SIMPLE_ENTITY_WRITER;
 
   protected static int printUsage() {
-    // TODO is there a way to handle mapper-specific options more gracefully?
     System.err.println(
         "Usage: [-m <maps>] number of mappers (default: " + NUM_MAPS_DEFAULT +
             ")\n" +
-        "     [-mtype <mapper type in integer>] \n" +
+        "     [-mtype <mapper type in integer>]\n" +
         "          1. simple entity write mapper\n" +
-        "     [-s <(KBs)test>] number of KB per put (default: " +
+        "          2. job history file replay mapper\n" +
-            KBS_SENT_DEFAULT + " KB)\n" +
+        "     [-s <(KBs)test>] number of KB per put (mtype=1, default: " +
-        "     [-t] package sending iterations per mapper (default: " +
+             SimpleEntityWriter.KBS_SENT_DEFAULT + " KB)\n" +
-            TEST_TIMES_DEFAULT + ")\n");
+        "     [-t] package sending iterations per mapper (mtype=1, default: " +
+             SimpleEntityWriter.TEST_TIMES_DEFAULT + ")\n" +
+        "     [-d <path>] root path of job history files (mtype=2)\n" +
+        "     [-r <replay mode>] (mtype=2)\n" +
+        "          1. write all entities for a job in one put (default)\n" +
+        "          2. write one entity at a time\n");
     GenericOptionsParser.printGenericCommandUsage(System.err);
     return -1;
   }
@@ -82,11 +65,9 @@ protected static int printUsage() {
    * Configure a job given argv.
    */
   public static boolean parseArgs(String[] args, Job job) throws IOException {
-    // set the defaults
+    // set the common defaults
     Configuration conf = job.getConfiguration();
     conf.setInt(MRJobConfig.NUM_MAPS, NUM_MAPS_DEFAULT);
-    conf.setInt(KBS_SENT, KBS_SENT_DEFAULT);
-    conf.setInt(TEST_TIMES, TEST_TIMES_DEFAULT);
 
     for (int i = 0; i < args.length; i++) {
       if (args.length == i + 1) {
@@ -97,25 +78,24 @@ public static boolean parseArgs(String[] args, Job job) throws IOException {
         if ("-m".equals(args[i])) {
           if (Integer.parseInt(args[++i]) > 0) {
             job.getConfiguration()
-                .setInt(MRJobConfig.NUM_MAPS, (Integer.parseInt(args[i])));
+                .setInt(MRJobConfig.NUM_MAPS, Integer.parseInt(args[i]));
           }
         } else if ("-mtype".equals(args[i])) {
           mapperType = Integer.parseInt(args[++i]);
-          switch (mapperType) {
-          case SIMPLE_ENTITY_WRITER:
-            job.setMapperClass(SimpleEntityWriter.class);
-            break;
-          default:
-            job.setMapperClass(SimpleEntityWriter.class);
-          }
         } else if ("-s".equals(args[i])) {
           if (Integer.parseInt(args[++i]) > 0) {
-            conf.setInt(KBS_SENT, (Integer.parseInt(args[i])));
+            conf.setInt(SimpleEntityWriter.KBS_SENT, Integer.parseInt(args[i]));
           }
         } else if ("-t".equals(args[i])) {
           if (Integer.parseInt(args[++i]) > 0) {
-            conf.setInt(TEST_TIMES, (Integer.parseInt(args[i])));
+            conf.setInt(SimpleEntityWriter.TEST_TIMES,
+                Integer.parseInt(args[i]));
           }
+        } else if ("-d".equals(args[i])) {
+          conf.set(JobHistoryFileReplayMapper.PROCESSING_PATH, args[++i]);
+        } else if ("-r".equals(args[i])) {
+          conf.setInt(JobHistoryFileReplayMapper.REPLAY_MODE,
+              Integer.parseInt(args[++i]));
         } else {
           System.out.println("Unexpected argument: " + args[i]);
           return printUsage() == 0;
@@ -128,6 +108,27 @@ public static boolean parseArgs(String[] args, Job job) throws IOException {
       }
     }
 
+    // handle mapper-specific settings
+    switch (mapperType) {
+    case JOB_HISTORY_FILE_REPLAY_MAPPER:
+      job.setMapperClass(JobHistoryFileReplayMapper.class);
+      String processingPath =
+          conf.get(JobHistoryFileReplayMapper.PROCESSING_PATH);
+      if (processingPath == null || processingPath.isEmpty()) {
+        System.out.println("processing path is missing while mtype = 2");
+        return printUsage() == 0;
+      }
+      break;
+    case SIMPLE_ENTITY_WRITER:
+    default:
+      job.setMapperClass(SimpleEntityWriter.class);
+      // use the current timestamp as the "run id" of the test: this will
+      // be used as simulating the cluster timestamp for apps
+      conf.setLong(SimpleEntityWriter.TIMELINE_SERVICE_PERFORMANCE_RUN_ID,
+          System.currentTimeMillis());
+      break;
+    }
+
     return true;
   }
 
@@ -153,13 +154,6 @@ public int run(String[] args) throws Exception {
       return -1;
     }
 
-    // for mtype = 1
-    // use the current timestamp as the "run id" of the test: this will be used
-    // as simulating the cluster timestamp for apps
-    Configuration conf = job.getConfiguration();
-    conf.setLong(TIMELINE_SERVICE_PERFORMANCE_RUN_ID,
-        System.currentTimeMillis());
-
     Date startTime = new Date();
     System.out.println("Job started: " + startTime);
     int ret = job.waitForCompletion(true) ? 0 : 1;
@@ -172,7 +166,8 @@ public int run(String[] args) throws Exception {
         counters.findCounter(PerfCounters.TIMELINE_SERVICE_WRITE_KBS).getValue();
     double transacrate = writecounts * 1000 / (double)writetime;
     double iorate = writesize * 1000 / (double)writetime;
-    int numMaps = Integer.parseInt(conf.get(MRJobConfig.NUM_MAPS));
+    int numMaps =
+        Integer.parseInt(job.getConfiguration().get(MRJobConfig.NUM_MAPS));
 
     System.out.println("TRANSACTION RATE (per mapper): " + transacrate +
         " ops/s");
@@ -204,95 +199,31 @@ public static void main(String[] args) throws Exception {
     '3', '4', '5', '6', '7', '8', '9', '0', ' ' };
 
   /**
-   * Adds simple entities with random string payload, events, metrics, and
+   * Base mapper for writing entities to the timeline service. Subclasses
-   * configuration.
+   * override {@link #writeEntities(Configuration, TimelineCollectorManager,
+   * org.apache.hadoop.mapreduce.Mapper.Context)} to create and write entities
+   * to the timeline service.
    */
-  public static class SimpleEntityWriter
+  public static abstract class EntityWriter
       extends org.apache.hadoop.mapreduce.Mapper<IntWritable,IntWritable,Writable,Writable> {
+    @Override
     public void map(IntWritable key, IntWritable val, Context context)
         throws IOException {
 
-      Configuration conf = context.getConfiguration();
+      // create the timeline collector manager wired with the writer
-      // simulate the app id with the task id
-      int taskId = context.getTaskAttemptID().getTaskID().getId();
-      long timestamp = conf.getLong(TIMELINE_SERVICE_PERFORMANCE_RUN_ID, 0);
-      ApplicationId appId = ApplicationId.newInstance(timestamp, taskId);
-
-      // create the app level timeline collector
       Configuration tlConf = new YarnConfiguration();
-      AppLevelTimelineCollector collector =
+      TimelineCollectorManager manager = new TimelineCollectorManager("test");
-          new AppLevelTimelineCollector(appId);
+      manager.init(tlConf);
-      collector.init(tlConf);
+      manager.start();
-      collector.start();
-
       try {
-        // set the context
+        // invoke the method to have the subclass write entities
-        // flow id: job name, flow run id: timestamp, user id
+        writeEntities(tlConf, manager, context);
-        TimelineCollectorContext tlContext =
-            collector.getTimelineEntityContext();
-        tlContext.setFlowName(context.getJobName());
-        tlContext.setFlowRunId(timestamp);
-        tlContext.setUserId(context.getUser());
-
-        final int kbs = Integer.parseInt(conf.get(KBS_SENT));
-
-        long totalTime = 0;
-        final int testtimes = Integer.parseInt(conf.get(TEST_TIMES));
-        final Random rand = new Random();
-        final TaskAttemptID taskAttemptId = context.getTaskAttemptID();
-        final char[] payLoad = new char[kbs * 1024];
-
-        for (int i = 0; i < testtimes; i++) {
-          // Generate a fixed length random payload
-          for (int xx = 0; xx < kbs * 1024; xx++) {
-            int alphaNumIdx = rand.nextInt(alphaNums.length);
-            payLoad[xx] = alphaNums[alphaNumIdx];
-          }
-          String entId = taskAttemptId + "_" + Integer.toString(i);
-          final TimelineEntity entity = new TimelineEntity();
-          entity.setId(entId);
-          entity.setType("FOO_ATTEMPT");
-          entity.addInfo("PERF_TEST", payLoad);
-          // add an event
-          TimelineEvent event = new TimelineEvent();
-          event.setTimestamp(System.currentTimeMillis());
-          event.addInfo("foo_event", "test");
-          entity.addEvent(event);
-          // add a metric
-          TimelineMetric metric = new TimelineMetric();
-          metric.setId("foo_metric");
-          metric.addValue(System.currentTimeMillis(), 123456789L);
-          entity.addMetric(metric);
-          // add a config
-          entity.addConfig("foo", "bar");
-
-          TimelineEntities entities = new TimelineEntities();
-          entities.addEntity(entity);
-          // use the current user for this purpose
-          UserGroupInformation ugi = UserGroupInformation.getCurrentUser();
-          long startWrite = System.nanoTime();
-          try {
-            collector.putEntities(entities, ugi);
-          } catch (Exception e) {
-            context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_FAILURES).
-                increment(1);
-            e.printStackTrace();
-          }
-          long endWrite = System.nanoTime();
-          totalTime += (endWrite-startWrite)/1000000L;
-        }
-        LOG.info("wrote " + testtimes + " entities (" + kbs*testtimes +
-            " kB) in " + totalTime + " ms");
-        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_TIME).
-            increment(totalTime);
-        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_COUNTER).
-            increment(testtimes);
-        context.getCounter(PerfCounters.TIMELINE_SERVICE_WRITE_KBS).
-            increment(kbs*testtimes);
       } finally {
-        // clean up
+        manager.close();
-        collector.close();
       }
     }
+
+    protected abstract void writeEntities(Configuration tlConf,
+        TimelineCollectorManager manager, Context context) throws IOException;
   }
 }

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-timelineservice/src/main/java/org/apache/hadoop/yarn/server/timelineservice/collector/TimelineCollectorManager.java

@@ -48,7 +48,7 @@
  */
 @InterfaceAudience.Private
 @InterfaceStability.Unstable
-public abstract class TimelineCollectorManager extends AbstractService {
+public class TimelineCollectorManager extends AbstractService {
   private static final Log LOG =
       LogFactory.getLog(TimelineCollectorManager.class);
 
@@ -90,10 +90,14 @@ protected void serviceStart() throws Exception {
       Collections.synchronizedMap(
           new HashMap<ApplicationId, TimelineCollector>());
 
-  protected TimelineCollectorManager(String name) {
+  public TimelineCollectorManager(String name) {
     super(name);
   }
 
+  protected TimelineWriter getWriter() {
+    return writer;
+  }
+
   /**
    * Put the collector into the collection if an collector mapped by id does
    * not exist.

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-timelineservice/src/main/java/org/apache/hadoop/yarn/server/timelineservice/storage/FileSystemTimelineWriterImpl.java

@@ -47,17 +47,17 @@ public class FileSystemTimelineWriterImpl extends AbstractService
 
   private String outputRoot;
 
-  /** Config param for timeline service storage tmp root for FILE YARN-3264 */
+  /** Config param for timeline service storage tmp root for FILE YARN-3264. */
   public static final String TIMELINE_SERVICE_STORAGE_DIR_ROOT
-    = YarnConfiguration.TIMELINE_SERVICE_PREFIX + "fs-writer.root-dir";
+      = YarnConfiguration.TIMELINE_SERVICE_PREFIX + "fs-writer.root-dir";
 
-  /** default value for storage location on local disk */
+  /** default value for storage location on local disk. */
   public static final String DEFAULT_TIMELINE_SERVICE_STORAGE_DIR_ROOT
-    = "/tmp/timeline_service_data";
+      = "/tmp/timeline_service_data";
 
   public static final String ENTITIES_DIR = "entities";
 
-  /** Default extension for output files */
+  /** Default extension for output files. */
   public static final String TIMELINE_SERVICE_STORAGE_EXTENSION = ".thist";
 
   FileSystemTimelineWriterImpl() {
@@ -81,9 +81,11 @@ private synchronized void write(String clusterId, String userId, String flowName
       TimelineWriteResponse response) throws IOException {
     PrintWriter out = null;
     try {
-      String dir = mkdirs(outputRoot, ENTITIES_DIR, clusterId, userId,flowName,
+      String dir = mkdirs(outputRoot, ENTITIES_DIR, clusterId, userId,
-          flowVersion, String.valueOf(flowRun), appId, entity.getType());
+          escape(flowName), escape(flowVersion), String.valueOf(flowRun), appId,
-      String fileName = dir + entity.getId() + TIMELINE_SERVICE_STORAGE_EXTENSION;
+          entity.getType());
+      String fileName = dir + entity.getId() +
+          TIMELINE_SERVICE_STORAGE_EXTENSION;
       out =
           new PrintWriter(new BufferedWriter(new OutputStreamWriter(
               new FileOutputStream(fileName, true), "UTF-8")));
@@ -145,4 +147,9 @@ private static String mkdirs(String... dirStrs) throws IOException {
     }
     return path.toString();
   }
+
+  // specifically escape the separator character
+  private static String escape(String str) {
+    return str.replace(File.separatorChar, '_');
+  }
 }

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-timelineservice/src/main/java/org/apache/hadoop/yarn/server/timelineservice/storage/package-info.java

@@ -0,0 +1,24 @@
+/*
+ * 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.
+ */
+
+@InterfaceAudience.Private
+@InterfaceStability.Unstable
+package org.apache.hadoop.yarn.server.timelineservice.storage;
+
+import org.apache.hadoop.classification.InterfaceAudience;
+import org.apache.hadoop.classification.InterfaceStability;