Running java hadoop job on local/remote cluster
I'm trying to run hadoop job on local/remote cluster. This job in future will be executed from web application. I'm trying to execute this piece of code from eclipse:
public class TestHadoop {
private final static String host = "localhost";
public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
run();
}
static void run() throws IOException, InterruptedException, ClassNotFoundException {
Configuration conf = new Configuration();
// run on other machine/cluster
conf.set("fs.default.name", "hdfs://" + host + ":8020");
conf.set("mapred.job.tracker", "hdfs://" + host + ":8021");
Job job = new Job(conf, "Wordcount");
job.setJarByClass(TestHadoop.class);
FileInputFormat.addInputPath(job, new Path("/user/hue/jobsub/sample_data/midsummer.txt"));
FileOutputFormat.setOutputPath(job, new Path("/tmp/hadoop-out2"));
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
job.waitForCompletion(true);
}
static class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
@Override
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
context.write(word, one);
}
}
}
static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
@Override
public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException,
InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
context.write(key, new IntWritable(sum));
}
}
}
However I get the following errors:
2011-09-30 16:32:39,000 WARN org.apache.hadoop.mapred.Child: Error running child
java.lang.RuntimeException: java.lang.ClassNotFoundException: org.mmm.hadoop.TestHadoop$Map
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:996)
at org.apache.hadoop.mapreduce.JobContext.getMapperClass(JobContext.java:212)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:602)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323)
at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
at java.security.开发者_如何学JAVAAccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1127)
at org.apache.hadoop.mapred.Child.main(Child.java:264)
Caused by: java.lang.ClassNotFoundException: org.mmm.hadoop.TestHadoop$Map
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:247)
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:943)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:994)
... 8 more
16:33:01.209 [LeaseChecker] DEBUG org.apache.hadoop.hdfs.DFSClient - LeaseChecker is interrupted.
java.lang.InterruptedException: sleep interrupted
at java.lang.Thread.sleep(Native Method) [na:1.7.0]
at org.apache.hadoop.hdfs.DFSClient$LeaseChecker.run(DFSClient.java:1167) ~[hadoop-core-0.20.2-cdh3u1.jar:na]
at java.lang.Thread.run(Thread.java:722) [na:1.7.0]
I'm using CDH3 with Hue. Jobs appears on job list with above running child error.
You have to bundle your custom mapper/reducer implementations in an jar.
job.setJarByClass(TestHadoop.class);
will then lookup that jar and transfer it to the cluster.
I know I'm probably way too late, but try declaring Map and Reduce as public, too.
mapred.job.tracker url should be http not hdfs...
and make Mapper and Reducer public..
//error
conf.set("mapred.job.tracker", "hdfs://" + host + ":8021");
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