svn merge -c 1558948 FIXES: MAPREDUCE-5672. Provide optional RollingFileAppender for container log4j (syslog). Contributed by Gera Shegalov

git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/branches/branch-2@1558957 13f79535-47bb-0310-9956-ffa450edef68

hadoop-mapreduce-project/CHANGES.txt

@@ -129,6 +129,9 @@ Release 2.4.0 - UNRELEASED
     MAPREDUCE-5724. JobHistoryServer does not start if HDFS is not running. 
     (tucu)
 
+    MAPREDUCE-5672. Provide optional RollingFileAppender for container log4j
+    (syslog) (Gera Shegalov via jlowe)
+
 Release 2.3.0 - UNRELEASED
 
   INCOMPATIBLE CHANGES

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapred/MapReduceChildJVM.java

@@ -149,8 +149,10 @@ public class MapReduceChildJVM {
   private static void setupLog4jProperties(Task task,
       Vector<String> vargs,
       long logSize) {
-    String logLevel = getChildLogLevel(task.conf, task.isMapTask()); 
-    MRApps.addLog4jSystemProperties(logLevel, logSize, vargs);
+    String logLevel = getChildLogLevel(task.conf, task.isMapTask());
+    int numBackups = task.conf.getInt(MRJobConfig.TASK_LOG_BACKUPS,
+        MRJobConfig.DEFAULT_TASK_LOG_BACKUPS);
+    MRApps.addLog4jSystemProperties(logLevel, logSize, numBackups, vargs);
   }
 
   public static List<String> getVMCommand(

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-common/src/main/java/org/apache/hadoop/mapreduce/v2/util/MRApps.java

@@ -61,6 +61,7 @@ import org.apache.hadoop.yarn.exceptions.YarnRuntimeException;
 import org.apache.hadoop.yarn.util.ApplicationClassLoader;
 import org.apache.hadoop.yarn.util.Apps;
 import org.apache.hadoop.yarn.util.ConverterUtils;
+import org.apache.log4j.RollingFileAppender;
 
 /**
  * Helper class for MR applications
@@ -490,15 +491,23 @@ public class MRApps extends Apps {
    * Add the JVM system properties necessary to configure {@link ContainerLogAppender}.
    * @param logLevel the desired log level (eg INFO/WARN/DEBUG)
    * @param logSize See {@link ContainerLogAppender#setTotalLogFileSize(long)}
+   * @param numBackups See {@link RollingFileAppender#setMaxBackupIndex(int)}
    * @param vargs the argument list to append to
    */
   public static void addLog4jSystemProperties(
-      String logLevel, long logSize, List<String> vargs) {
+      String logLevel, long logSize, int numBackups, List<String> vargs) {
     vargs.add("-Dlog4j.configuration=container-log4j.properties");
     vargs.add("-D" + YarnConfiguration.YARN_APP_CONTAINER_LOG_DIR + "=" +
         ApplicationConstants.LOG_DIR_EXPANSION_VAR);
     vargs.add(
         "-D" + YarnConfiguration.YARN_APP_CONTAINER_LOG_SIZE + "=" + logSize);
-    vargs.add("-Dhadoop.root.logger=" + logLevel + ",CLA"); 
+    if (logSize > 0L && numBackups > 0) {
+      // log should be rolled
+      vargs.add("-D" + YarnConfiguration.YARN_APP_CONTAINER_LOG_BACKUPS + "="
+          + numBackups);
+      vargs.add("-Dhadoop.root.logger=" + logLevel + ",CRLA");
+    } else {
+      vargs.add("-Dhadoop.root.logger=" + logLevel + ",CLA");
+    }
   }
 }

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/MRJobConfig.java

@@ -407,6 +407,10 @@ public interface MRJobConfig {
     MR_AM_PREFIX+"log.level";
   public static final String DEFAULT_MR_AM_LOG_LEVEL = "INFO";
 
+  public static final String MR_AM_LOG_BACKUPS =
+      MR_AM_PREFIX + "container.log.backups";
+  public static final int DEFAULT_MR_AM_LOG_BACKUPS = 0; // don't roll
+
   /**The number of splits when reporting progress in MR*/
   public static final String MR_AM_NUM_PROGRESS_SPLITS = 
     MR_AM_PREFIX+"num-progress-splits";
@@ -681,7 +685,11 @@ public interface MRJobConfig {
       + "$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*";
 
   public static final String WORKFLOW_ID = "mapreduce.workflow.id";
-  
+
+  public static final String TASK_LOG_BACKUPS =
+      MR_PREFIX + "task.container.log.backups";
+  public static final int DEFAULT_TASK_LOG_BACKUPS = 0; // don't roll
+
   public static final String WORKFLOW_NAME = "mapreduce.workflow.name";
   
   public static final String WORKFLOW_NODE_NAME =

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/resources/mapred-default.xml

@@ -815,6 +815,31 @@
   </description>
 </property>
 
+<property>
+  <name>yarn.app.mapreduce.task.container.log.backups</name>
+  <value>0</value>
+  <description>Number of backup files for task logs when using
+    ContainerRollingLogAppender (CRLA). See
+    org.apache.log4j.RollingFileAppender.maxBackupIndex. By default,
+    ContainerLogAppender (CLA) is used, and container logs are not rolled. CRLA
+    is enabled for tasks when both mapreduce.task.userlog.limit.kb and
+    yarn.app.mapreduce.task.container.log.backups are greater than zero.
+  </description>
+</property>
+
+<property>
+  <name>yarn.app.mapreduce.am.container.log.backups</name>
+  <value>0</value>
+  <description>Number of backup files for the ApplicationMaster logs when using
+    ContainerRollingLogAppender (CRLA). See
+    org.apache.log4j.RollingFileAppender.maxBackupIndex. By default,
+    ContainerLogAppender (CLA) is used, and container logs are not rolled. CRLA
+    is enabled for the ApplicationMaster when both
+    mapreduce.task.userlog.limit.kb and
+    yarn.app.mapreduce.am.container.log.backups are greater than zero.
+  </description>
+</property>
+
 <property>
   <name>mapreduce.job.userlog.retain.hours</name>
   <value>24</value>

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/main/java/org/apache/hadoop/mapred/YARNRunner.java

@@ -392,7 +392,9 @@ public class YARNRunner implements ClientProtocol {
     long logSize = TaskLog.getTaskLogLength(new JobConf(conf));
     String logLevel = jobConf.get(
         MRJobConfig.MR_AM_LOG_LEVEL, MRJobConfig.DEFAULT_MR_AM_LOG_LEVEL);
-    MRApps.addLog4jSystemProperties(logLevel, logSize, vargs);
+    int numBackups = jobConf.getInt(MRJobConfig.MR_AM_LOG_BACKUPS,
+        MRJobConfig.DEFAULT_MR_AM_LOG_BACKUPS);
+    MRApps.addLog4jSystemProperties(logLevel, logSize, numBackups, vargs);
 
     // Check for Java Lib Path usage in MAP and REDUCE configs
     warnForJavaLibPath(conf.get(MRJobConfig.MAP_JAVA_OPTS,""), "map", 

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/mapreduce/v2/TestMRJobs.java

@@ -23,10 +23,12 @@ import java.io.File;
 import java.io.FileInputStream;
 import java.io.FileNotFoundException;
 import java.io.FileOutputStream;
+import java.io.InputStreamReader;
 import java.io.IOException;
 import java.io.StringReader;
 import java.net.URI;
 import java.security.PrivilegedExceptionAction;
+import java.util.EnumSet;
 import java.util.HashMap;
 import java.util.Map;
 import java.util.jar.JarOutputStream;
@@ -53,6 +55,8 @@ import org.apache.hadoop.io.IOUtils;
 import org.apache.hadoop.io.LongWritable;
 import org.apache.hadoop.io.NullWritable;
 import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.TaskLog;
 import org.apache.hadoop.mapreduce.Counters;
 import org.apache.hadoop.mapreduce.Job;
 import org.apache.hadoop.mapreduce.JobCounter;
@@ -65,17 +69,22 @@ import org.apache.hadoop.mapreduce.TaskCompletionEvent;
 import org.apache.hadoop.mapreduce.TaskID;
 import org.apache.hadoop.mapreduce.TaskReport;
 import org.apache.hadoop.mapreduce.TaskType;
+import org.apache.hadoop.mapreduce.TypeConverter;
 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 import org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter;
 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
 import org.apache.hadoop.mapreduce.lib.output.NullOutputFormat;
 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
+import org.apache.hadoop.mapreduce.v2.api.records.JobId;
 import org.apache.hadoop.security.UserGroupInformation;
 import org.apache.hadoop.security.token.Token;
 import org.apache.hadoop.security.token.TokenIdentifier;
 import org.apache.hadoop.util.JarFinder;
 import org.apache.hadoop.util.Shell;
+import org.apache.hadoop.yarn.api.records.ApplicationId;
 import org.apache.hadoop.yarn.conf.YarnConfiguration;
+import org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppState;
+import org.apache.log4j.Level;
 import org.junit.AfterClass;
 import org.junit.Assert;
 import org.junit.BeforeClass;
@@ -84,6 +93,9 @@ import org.junit.Test;
 public class TestMRJobs {
 
   private static final Log LOG = LogFactory.getLog(TestMRJobs.class);
+  private static final EnumSet<RMAppState> TERMINAL_RM_APP_STATES =
+      EnumSet.of(RMAppState.FINISHED, RMAppState.FAILED, RMAppState.KILLED);
+  private static final int NUM_NODE_MGRS = 3;
 
   protected static MiniMRYarnCluster mrCluster;
   protected static MiniDFSCluster dfsCluster;
@@ -122,7 +134,8 @@ public class TestMRJobs {
     }
 
     if (mrCluster == null) {
-      mrCluster = new MiniMRYarnCluster(TestMRJobs.class.getName(), 3);
+      mrCluster = new MiniMRYarnCluster(TestMRJobs.class.getName(),
+          NUM_NODE_MGRS);
       Configuration conf = new Configuration();
       conf.set("fs.defaultFS", remoteFs.getUri().toString());   // use HDFS
       conf.set(MRJobConfig.MR_AM_STAGING_DIR, "/apps_staging_dir");
@@ -416,6 +429,115 @@ public class TestMRJobs {
     // TODO later:  add explicit "isUber()" checks of some sort
   }
 
+  @Test(timeout = 120000)
+  public void testContainerRollingLog() throws IOException,
+      InterruptedException, ClassNotFoundException {
+    if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
+      LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
+          + " not found. Not running test.");
+      return;
+    }
+
+    final SleepJob sleepJob = new SleepJob();
+    final JobConf sleepConf = new JobConf(mrCluster.getConfig());
+    sleepConf.set(MRJobConfig.MAP_LOG_LEVEL, Level.ALL.toString());
+    sleepConf.set(MRJobConfig.MR_AM_LOG_LEVEL, Level.ALL.toString());
+    sleepConf.setLong(MRJobConfig.TASK_USERLOG_LIMIT, 1);
+    sleepConf.setInt(MRJobConfig.TASK_LOG_BACKUPS, 3);
+    sleepConf.setInt(MRJobConfig.MR_AM_LOG_BACKUPS, 7);
+    sleepJob.setConf(sleepConf);
+
+    final Job job = sleepJob.createJob(1, 0, 1L, 100, 0L, 0);
+    job.setJarByClass(SleepJob.class);
+    job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
+    job.waitForCompletion(true);
+    final JobId jobId = TypeConverter.toYarn(job.getJobID());
+    final ApplicationId appID = jobId.getAppId();
+    int pollElapsed = 0;
+    while (true) {
+      Thread.sleep(1000);
+      pollElapsed += 1000;
+      if (TERMINAL_RM_APP_STATES.contains(
+        mrCluster.getResourceManager().getRMContext().getRMApps().get(appID)
+            .getState())) {
+        break;
+      }
+      if (pollElapsed >= 60000) {
+        LOG.warn("application did not reach terminal state within 60 seconds");
+        break;
+      }
+    }
+    Assert.assertEquals(RMAppState.FINISHED, mrCluster.getResourceManager()
+        .getRMContext().getRMApps().get(appID).getState());
+
+    // Job finished, verify logs
+    //
+
+    final String appIdStr = appID.toString();
+    final String appIdSuffix = appIdStr.substring("application_".length(),
+        appIdStr.length());
+    final String containerGlob = "container_" + appIdSuffix + "_*_*";
+    final String syslogGlob = appIdStr
+        + Path.SEPARATOR + containerGlob
+        + Path.SEPARATOR + TaskLog.LogName.SYSLOG;
+    int numAppMasters = 0;
+    int numMapTasks = 0;
+
+    for (int i = 0; i < NUM_NODE_MGRS; i++) {
+      final Configuration nmConf = mrCluster.getNodeManager(i).getConfig();
+      for (String logDir :
+               nmConf.getTrimmedStrings(YarnConfiguration.NM_LOG_DIRS)) {
+        final Path absSyslogGlob =
+            new Path(logDir + Path.SEPARATOR + syslogGlob);
+        LOG.info("Checking for glob: " + absSyslogGlob);
+        final FileStatus[] syslogs = localFs.globStatus(absSyslogGlob);
+        for (FileStatus slog : syslogs) {
+          // check all syslogs for the container
+          //
+          final FileStatus[] sysSiblings = localFs.globStatus(new Path(
+              slog.getPath().getParent(), TaskLog.LogName.SYSLOG + "*"));
+          boolean foundAppMaster = false;
+          floop:
+          for (FileStatus f : sysSiblings) {
+            final BufferedReader reader = new BufferedReader(
+                new InputStreamReader(localFs.open(f.getPath())));
+            String line;
+            try {
+              while ((line = reader.readLine()) != null) {
+                if (line.contains(MRJobConfig.APPLICATION_MASTER_CLASS)) {
+                  foundAppMaster = true;
+                  break floop;
+                }
+              }
+            } finally {
+              reader.close();
+            }
+          }
+
+          if (foundAppMaster) {
+            numAppMasters++;
+          } else {
+            numMapTasks++;
+          }
+
+          Assert.assertSame("Number of sylog* files",
+              foundAppMaster
+                ? sleepConf.getInt(MRJobConfig.MR_AM_LOG_BACKUPS, 0) + 1
+                : sleepConf.getInt(MRJobConfig.TASK_LOG_BACKUPS, 0) + 1,
+              sysSiblings.length);
+        }
+      }
+    }
+    // Make sure we checked non-empty set
+    //
+    Assert.assertEquals("No AppMaster log found!", 1, numAppMasters);
+    if (sleepConf.getBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false)) {
+      Assert.assertEquals("MapTask log with uber found!", 0, numMapTasks);
+    } else {
+      Assert.assertEquals("No MapTask log found!", 1, numMapTasks);
+    }
+  }
+
   public static class DistributedCacheChecker extends
       Mapper<LongWritable, Text, NullWritable, NullWritable> {
 

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-api/src/main/java/org/apache/hadoop/yarn/conf/YarnConfiguration.java

@@ -928,6 +928,9 @@ public class YarnConfiguration extends Configuration {
   public static final String YARN_APP_CONTAINER_LOG_SIZE =
       YARN_PREFIX + "app.container.log.filesize";
 
+  public static final String YARN_APP_CONTAINER_LOG_BACKUPS =
+      YARN_PREFIX + "app.container.log.backups";
+
   ////////////////////////////////
   // Other Configs
   ////////////////////////////////

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-common/src/main/java/org/apache/hadoop/yarn/ContainerRollingLogAppender.java

@@ -0,0 +1,65 @@
+/**
+ * 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.yarn;
+
+import org.apache.hadoop.classification.InterfaceAudience.Public;
+import org.apache.hadoop.classification.InterfaceStability.Unstable;
+import org.apache.log4j.RollingFileAppender;
+
+import java.io.File;
+import java.io.Flushable;
+
+/**
+ * A simple log4j-appender for container's logs.
+ *
+ */
+@Public
+@Unstable
+public class ContainerRollingLogAppender extends RollingFileAppender
+  implements Flushable {
+  private String containerLogDir;
+
+  @Override
+  public void activateOptions() {
+    synchronized (this) {
+      setFile(new File(this.containerLogDir, "syslog").toString());
+      setAppend(true);
+      super.activateOptions();
+    }
+  }
+
+  @Override
+  public void flush() {
+    if (qw != null) {
+      qw.flush();
+    }
+  }
+
+  /**
+   * Getter/Setter methods for log4j.
+   */
+
+  public String getContainerLogDir() {
+    return this.containerLogDir;
+  }
+
+  public void setContainerLogDir(String containerLogDir) {
+    this.containerLogDir = containerLogDir;
+  }
+}

hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/resources/container-log4j.properties

@@ -35,6 +35,13 @@ log4j.appender.CLA.totalLogFileSize=${yarn.app.container.log.filesize}
 log4j.appender.CLA.layout=org.apache.log4j.PatternLayout
 log4j.appender.CLA.layout.ConversionPattern=%d{ISO8601} %p [%t] %c: %m%n
 
+log4j.appender.CRLA=org.apache.hadoop.yarn.ContainerRollingLogAppender
+log4j.appender.CRLA.containerLogDir=${yarn.app.container.log.dir}
+log4j.appender.CRLA.maximumFileSize=${yarn.app.container.log.filesize}
+log4j.appender.CRLA.maxBackupIndex=${yarn.app.container.log.backups}
+log4j.appender.CRLA.layout=org.apache.log4j.PatternLayout
+log4j.appender.CRLA.layout.ConversionPattern=%d{ISO8601} %p [%t] %c: %m%n
+
 #
 # Event Counter Appender
 # Sends counts of logging messages at different severity levels to Hadoop Metrics.