/*
* 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.pig.backend.hadoop.executionengine.shims;
import java.io.IOException;
import java.lang.reflect.Method;
import java.util.Iterator;
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.mapred.Counters;
import org.apache.hadoop.mapred.DowngradeHelper;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.TIPStatus;
import org.apache.hadoop.mapred.TaskReport;
import org.apache.hadoop.mapred.jobcontrol.Job;
import org.apache.hadoop.mapred.jobcontrol.JobControl;
import org.apache.hadoop.mapreduce.Cluster;
import org.apache.hadoop.mapreduce.ContextFactory;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.JobID;
import org.apache.hadoop.mapreduce.OutputCommitter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.TaskAttemptID;
import org.apache.hadoop.mapreduce.TaskType;
import org.apache.hadoop.mapreduce.task.JobContextImpl;
import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl;
import org.apache.pig.PigConfiguration;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRConfiguration;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POStore;
import org.apache.pig.backend.hadoop23.PigJobControl;
public class HadoopShims {
private static Log LOG = LogFactory.getLog(HadoopShims.class);
private static Method getFileSystemClass;
static public JobContext cloneJobContext(JobContext original) throws IOException, InterruptedException {
JobContext newContext = ContextFactory.cloneContext(original,
new JobConf(original.getConfiguration()));
return newContext;
}
static public TaskAttemptContext createTaskAttemptContext(Configuration conf,
TaskAttemptID taskId) {
if (conf instanceof JobConf) {
return new TaskAttemptContextImpl(new JobConf(conf), taskId);
} else {
return new TaskAttemptContextImpl(conf, taskId);
}
}
static public JobContext createJobContext(Configuration conf,
JobID jobId) {
if (conf instanceof JobConf) {
return new JobContextImpl(new JobConf(conf), jobId);
} else {
return new JobContextImpl(conf, jobId);
}
}
static public boolean isMap(TaskAttemptID taskAttemptID) {
TaskType type = taskAttemptID.getTaskType();
if (type==TaskType.MAP)
return true;
return false;
}
static public TaskAttemptID getNewTaskAttemptID() {
TaskAttemptID taskAttemptID = new TaskAttemptID("", 1, TaskType.MAP,
1, 1);
return taskAttemptID;
}
static public TaskAttemptID createTaskAttemptID(String jtIdentifier, int jobId, boolean isMap,
int taskId, int id) {
if (isMap) {
return new TaskAttemptID(jtIdentifier, jobId, TaskType.MAP, taskId, id);
} else {
return new TaskAttemptID(jtIdentifier, jobId, TaskType.REDUCE, taskId, id);
}
}
static public void storeSchemaForLocal(Job job, POStore st) {
// Doing nothing for hadoop 23
}
static public String getFsCounterGroupName() {
return "org.apache.hadoop.mapreduce.FileSystemCounter";
}
static public void commitOrCleanup(OutputCommitter oc, JobContext jc) throws IOException {
oc.commitJob(jc);
}
public static JobControl newJobControl(String groupName, int timeToSleep) {
return new PigJobControl(groupName, timeToSleep);
}
public static long getDefaultBlockSize(FileSystem fs, Path path) {
return fs.getDefaultBlockSize(path);
}
public static Counters getCounters(Job job) throws IOException {
try {
Cluster cluster = new Cluster(job.getJobConf());
org.apache.hadoop.mapreduce.Job mrJob = cluster.getJob(job.getAssignedJobID());
if (mrJob == null) { // In local mode, mrJob will be null
mrJob = job.getJob();
}
return new Counters(mrJob.getCounters());
} catch (Exception ir) {
throw new IOException(ir);
}
}
public static boolean isJobFailed(TaskReport report) {
return report.getCurrentStatus()==TIPStatus.FAILED;
}
public static void unsetConf(Configuration conf, String key) {
conf.unset(key);
}
/**
* Fetch mode needs to explicitly set the task id which is otherwise done by Hadoop
* @param conf
* @param taskAttemptID
*/
public static void setTaskAttemptId(Configuration conf, TaskAttemptID taskAttemptID) {
conf.setInt(MRConfiguration.JOB_APPLICATION_ATTEMPT_ID, taskAttemptID.getId());
}
/**
* Returns whether the give path has a FileSystem implementation.
*
* @param path path
* @param conf configuration
* @return true if the give path's scheme has a FileSystem implementation,
* false otherwise
*/
public static boolean hasFileSystemImpl(Path path, Configuration conf) {
String scheme = path.toUri().getScheme();
if (scheme != null) {
// Hadoop 0.23
if (conf.get("fs.file.impl") != null) {
String fsImpl = conf.get("fs." + scheme + ".impl");
if (fsImpl == null) {
return false;
}
} else {
// Hadoop 2.x HADOOP-7549
if (getFileSystemClass == null) {
try {
getFileSystemClass = FileSystem.class.getDeclaredMethod(
"getFileSystemClass", String.class, Configuration.class);
} catch (NoSuchMethodException e) {
LOG.warn("Error while trying to determine if path " + path +
" has a filesystem implementation");
// Assume has implementation to be safe
return true;
}
}
try {
Object fs = getFileSystemClass.invoke(null, scheme, conf);
return fs == null ? false : true;
} catch (Exception e) {
return false;
}
}
}
return true;
}
/**
* Returns the progress of a Job j which is part of a submitted JobControl
* object. The progress is for this Job. So it has to be scaled down by the
* num of jobs that are present in the JobControl.
*
* @param j The Job for which progress is required
* @return Returns the percentage progress of this Job
* @throws IOException
*/
public static double progressOfRunningJob(Job j)
throws IOException {
org.apache.hadoop.mapreduce.Job mrJob = j.getJob();
try {
return (mrJob.mapProgress() + mrJob.reduceProgress()) / 2;
} catch (Exception ir) {
return 0;
}
}
public static void killJob(Job job) throws IOException {
org.apache.hadoop.mapreduce.Job mrJob = job.getJob();
try {
if (mrJob != null) {
mrJob.killJob();
}
} catch (Exception ir) {
throw new IOException(ir);
}
}
public static Iterator<TaskReport> getTaskReports(Job job, TaskType type) throws IOException {
if (job.getJobConf().getBoolean(PigConfiguration.PIG_NO_TASK_REPORT, false)) {
LOG.info("TaskReports are disabled for job: " + job.getAssignedJobID());
return null;
}
Cluster cluster = new Cluster(job.getJobConf());
try {
org.apache.hadoop.mapreduce.Job mrJob = cluster.getJob(job.getAssignedJobID());
if (mrJob == null) { // In local mode, mrJob will be null
mrJob = job.getJob();
}
org.apache.hadoop.mapreduce.TaskReport[] reports = mrJob.getTaskReports(type);
return DowngradeHelper.downgradeTaskReports(reports);
} catch (InterruptedException ir) {
throw new IOException(ir);
}
}
public static boolean isHadoopYARN() {
return true;
}
}