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Posted to user@oozie.apache.org by Anshul Singhle <an...@gmail.com> on 2012/05/23 08:21:53 UTC
IOException while running mapreduce action. (Old API)
Hi all,
I tried running the wordcount example on oozie and i'm getting the
following exception on my hadoop log:
ERROR org.apache.hadoop.security.UserGroupInformation:
PriviledgedActionException as:cloudera (auth:SIMPLE)
cause:java.io.IOException: Type mismatch in key from map: expected
org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
2012-05-22 18:58:27,832 WARN org.apache.hadoop.mapred.Child: Error running
child
java.io.IOException: Type mismatch in key from map: expected
org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
at
org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:871)
at
org.apache.hadoop.mapred.MapTask$OldOutputCollector.collect(MapTask.java:499)
at WordCount$Map.map(WordCount.java:22)
at WordCount$Map.map(WordCount.java:12)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:391)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:325)
at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1177)
at org.apache.hadoop.mapred.Child.main(Child.java:264)
WordCount.java is copied verbatim from the apache mapreduce tutorial. I
removed the combiner that solved the problem for some people over at
stackoverflow, but i'm still getting the error. I ran the same jar in
hadoop and got the correct output with no error. Posting WordCount.java for
completeness.
import java.io.IOException;
import java.util.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
import org.apache.hadoop.util.*;
public class WordCount {
public static class Map extends MapReduceBase implements
Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(LongWritable key, Text value,
OutputCollector<Text, IntWritable> output, Reporter reporter) throws
IOException {
String line = value.toString();
System.out.println("here"+"\t"+ line + "\t" + key);
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
output.collect(word, one);
}
}
}
public static class Reduce extends MapReduceBase implements
Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterator<IntWritable> values,
OutputCollector<Text, IntWritable> output, Reporter reporter) throws
IOException {
int sum = 0;
while (values.hasNext()) {
sum += values.next().get();
}
output.collect(key, new IntWritable(sum));
}
}
public static void main(String[] args) throws Exception {
JobConf conf = new JobConf(WordCount.class);
//conf.setJobName("wordcount");
//conf.setJar("wordcount.jar");
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(Map.class);
conf.setReducerClass(Reduce.class);
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
//FileInputFormat.setInputPaths(conf, new Path(args[0]));
//FileOutputFormat.setOutputPath(conf, new Path(args[1]));
JobClient.runJob(conf);
}
}
Note that if I change mapper to map and reducer to reduce , I don't get
the error but I get wrong output. I checked the input given to the mapper
and that is apparently empty. And here is my workflow.xml. :
<workflow-app name='wordcount-wf' xmlns="uri:oozie:workflow:0.1">
<start to='wordcount'/>
<action name='wordcount'>
<map-reduce>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
</prepare>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
<property>
<name>mapred.mapper.class</name>
<value>WordCount$Map</value>
</property>
<property>
<name>mapred.reducer.class</name>
<value>WordCount$Reduce</value>
</property>
<property>
<name>mapred.input.dir</name>
<value>${inputDir}</value>
</property>
<property>
<name>mapred.output.dir</name>
<value>${outputDir}</value>
</property>
</configuration>
</map-reduce>
<ok to='end'/>
<error to='end'/>
</action>
<kill name='kill'>
<message>${wf:errorCode("wordcount")}</message>
</kill>
<end name='end'/>
</workflow-app>
I'm running oozie and hadoop on a single VM taken from cloudera.
oozie version:
Oozie client build version: 2.3.2-cdh3u4
hadoop version:
Subversion file:///data/1/tmp/topdir/BUILD/hadoop-0.20.2-cdh3u4 -r
214dd731e3bdb687cb55988d3f47dd9e248c5690
Compiled by root on Mon May 7 14:03:02 PDT 2012
>From source with checksum a60c9795e41a3248b212344fb131c12c
Re: IOException while running mapreduce action. (Old API)
Posted by Alejandro Abdelnur <tu...@cloudera.com>.
Anshul,
It would be great if you open a JIRA and put a patch for improving the
documentation, new eyes are always better at spotting doc issues.
Thx
On Wed, May 23, 2012 at 9:41 PM, Anshul Singhle <an...@gmail.com>wrote:
> Yeah I solved the problem. I had to move the configuration options from the
> main function of my code to the workflow.xml file. The reason for confusion
> was the "Quick Start" Documentation. I strongly feel the documentation
> needs to be clear about this.
>
> On Wed, May 23, 2012 at 10:30 PM, Alejandro Abdelnur <tucu@cloudera.com
> >wrote:
>
> > Hi Anshul,
> >
> > It looks like you are setting the key/value classes for the
> > input/output/intermediate-output and Hadoop is trying to use the default
> > ones.
> >
> > thx
> >
> > On Tue, May 22, 2012 at 11:21 PM, Anshul Singhle
> > <an...@gmail.com>wrote:
> >
> > > Hi all,
> > > I tried running the wordcount example on oozie and i'm getting the
> > > following exception on my hadoop log:
> > > ERROR org.apache.hadoop.security.UserGroupInformation:
> > > PriviledgedActionException as:cloudera (auth:SIMPLE)
> > > cause:java.io.IOException: Type mismatch in key from map: expected
> > > org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
> > > 2012-05-22 18:58:27,832 WARN org.apache.hadoop.mapred.Child: Error
> > running
> > > child
> > > java.io.IOException: Type mismatch in key from map: expected
> > > org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
> > > at
> > >
> >
> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:871)
> > > at
> > >
> > >
> >
> org.apache.hadoop.mapred.MapTask$OldOutputCollector.collect(MapTask.java:499)
> > > at WordCount$Map.map(WordCount.java:22)
> > > at WordCount$Map.map(WordCount.java:12)
> > > at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
> > > at
> org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:391)
> > > at org.apache.hadoop.mapred.MapTask.run(MapTask.java:325)
> > > at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
> > > at java.security.AccessController.doPrivileged(Native Method)
> > > at javax.security.auth.Subject.doAs(Subject.java:396)
> > > at
> > >
> > >
> >
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1177)
> > > at org.apache.hadoop.mapred.Child.main(Child.java:264)
> > >
> > > WordCount.java is copied verbatim from the apache mapreduce tutorial. I
> > > removed the combiner that solved the problem for some people over at
> > > stackoverflow, but i'm still getting the error. I ran the same jar in
> > > hadoop and got the correct output with no error. Posting WordCount.java
> > for
> > > completeness.
> > >
> > > import java.io.IOException;
> > > import java.util.*;
> > >
> > > import org.apache.hadoop.fs.Path;
> > > import org.apache.hadoop.conf.*;
> > > import org.apache.hadoop.io.*;
> > > import org.apache.hadoop.mapred.*;
> > > import org.apache.hadoop.util.*;
> > >
> > > public class WordCount {
> > >
> > > public static class Map extends MapReduceBase implements
> > > Mapper<LongWritable, Text, Text, IntWritable> {
> > > private final static IntWritable one = new IntWritable(1);
> > > private Text word = new Text();
> > >
> > > public void map(LongWritable key, Text value,
> > > OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> > > IOException {
> > > String line = value.toString();
> > > System.out.println("here"+"\t"+ line + "\t" + key);
> > > StringTokenizer tokenizer = new StringTokenizer(line);
> > > while (tokenizer.hasMoreTokens()) {
> > > word.set(tokenizer.nextToken());
> > > output.collect(word, one);
> > > }
> > > }
> > > }
> > >
> > > public static class Reduce extends MapReduceBase implements
> > > Reducer<Text, IntWritable, Text, IntWritable> {
> > > public void reduce(Text key, Iterator<IntWritable> values,
> > > OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> > > IOException {
> > > int sum = 0;
> > > while (values.hasNext()) {
> > > sum += values.next().get();
> > > }
> > > output.collect(key, new IntWritable(sum));
> > > }
> > > }
> > >
> > > public static void main(String[] args) throws Exception {
> > > JobConf conf = new JobConf(WordCount.class);
> > > //conf.setJobName("wordcount");
> > > //conf.setJar("wordcount.jar");
> > > conf.setOutputKeyClass(Text.class);
> > > conf.setOutputValueClass(IntWritable.class);
> > >
> > > conf.setMapperClass(Map.class);
> > > conf.setReducerClass(Reduce.class);
> > >
> > > conf.setInputFormat(TextInputFormat.class);
> > > conf.setOutputFormat(TextOutputFormat.class);
> > >
> > > //FileInputFormat.setInputPaths(conf, new Path(args[0]));
> > > //FileOutputFormat.setOutputPath(conf, new Path(args[1]));
> > >
> > > JobClient.runJob(conf);
> > > }
> > > }
> > >
> > > Note that if I change mapper to map and reducer to reduce , I don't
> get
> > > the error but I get wrong output. I checked the input given to the
> mapper
> > > and that is apparently empty. And here is my workflow.xml. :
> > >
> > > <workflow-app name='wordcount-wf' xmlns="uri:oozie:workflow:0.1">
> > > <start to='wordcount'/>
> > > <action name='wordcount'>
> > > <map-reduce>
> > > <job-tracker>${jobTracker}</job-tracker>
> > > <name-node>${nameNode}</name-node>
> > > <prepare>
> > > </prepare>
> > > <configuration>
> > >
> > > <property>
> > > <name>mapred.job.queue.name</name>
> > > <value>${queueName}</value>
> > > </property>
> > > <property>
> > > <name>mapred.mapper.class</name>
> > > <value>WordCount$Map</value>
> > > </property>
> > > <property>
> > > <name>mapred.reducer.class</name>
> > > <value>WordCount$Reduce</value>
> > > </property>
> > > <property>
> > > <name>mapred.input.dir</name>
> > > <value>${inputDir}</value>
> > > </property>
> > > <property>
> > > <name>mapred.output.dir</name>
> > > <value>${outputDir}</value>
> > > </property>
> > > </configuration>
> > > </map-reduce>
> > > <ok to='end'/>
> > > <error to='end'/>
> > > </action>
> > > <kill name='kill'>
> > > <message>${wf:errorCode("wordcount")}</message>
> > > </kill>
> > > <end name='end'/>
> > > </workflow-app>
> > >
> > > I'm running oozie and hadoop on a single VM taken from cloudera.
> > > oozie version:
> > > Oozie client build version: 2.3.2-cdh3u4
> > > hadoop version:
> > > Subversion file:///data/1/tmp/topdir/BUILD/hadoop-0.20.2-cdh3u4 -r
> > > 214dd731e3bdb687cb55988d3f47dd9e248c5690
> > > Compiled by root on Mon May 7 14:03:02 PDT 2012
> > > From source with checksum a60c9795e41a3248b212344fb131c12c
> > >
> >
> >
> >
> > --
> > Alejandro
> >
>
--
Alejandro
Re: IOException while running mapreduce action. (Old API)
Posted by Anshul Singhle <an...@gmail.com>.
Yeah I solved the problem. I had to move the configuration options from the
main function of my code to the workflow.xml file. The reason for confusion
was the "Quick Start" Documentation. I strongly feel the documentation
needs to be clear about this.
On Wed, May 23, 2012 at 10:30 PM, Alejandro Abdelnur <tu...@cloudera.com>wrote:
> Hi Anshul,
>
> It looks like you are setting the key/value classes for the
> input/output/intermediate-output and Hadoop is trying to use the default
> ones.
>
> thx
>
> On Tue, May 22, 2012 at 11:21 PM, Anshul Singhle
> <an...@gmail.com>wrote:
>
> > Hi all,
> > I tried running the wordcount example on oozie and i'm getting the
> > following exception on my hadoop log:
> > ERROR org.apache.hadoop.security.UserGroupInformation:
> > PriviledgedActionException as:cloudera (auth:SIMPLE)
> > cause:java.io.IOException: Type mismatch in key from map: expected
> > org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
> > 2012-05-22 18:58:27,832 WARN org.apache.hadoop.mapred.Child: Error
> running
> > child
> > java.io.IOException: Type mismatch in key from map: expected
> > org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
> > at
> >
> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:871)
> > at
> >
> >
> org.apache.hadoop.mapred.MapTask$OldOutputCollector.collect(MapTask.java:499)
> > at WordCount$Map.map(WordCount.java:22)
> > at WordCount$Map.map(WordCount.java:12)
> > at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
> > at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:391)
> > at org.apache.hadoop.mapred.MapTask.run(MapTask.java:325)
> > at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
> > at java.security.AccessController.doPrivileged(Native Method)
> > at javax.security.auth.Subject.doAs(Subject.java:396)
> > at
> >
> >
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1177)
> > at org.apache.hadoop.mapred.Child.main(Child.java:264)
> >
> > WordCount.java is copied verbatim from the apache mapreduce tutorial. I
> > removed the combiner that solved the problem for some people over at
> > stackoverflow, but i'm still getting the error. I ran the same jar in
> > hadoop and got the correct output with no error. Posting WordCount.java
> for
> > completeness.
> >
> > import java.io.IOException;
> > import java.util.*;
> >
> > import org.apache.hadoop.fs.Path;
> > import org.apache.hadoop.conf.*;
> > import org.apache.hadoop.io.*;
> > import org.apache.hadoop.mapred.*;
> > import org.apache.hadoop.util.*;
> >
> > public class WordCount {
> >
> > public static class Map extends MapReduceBase implements
> > Mapper<LongWritable, Text, Text, IntWritable> {
> > private final static IntWritable one = new IntWritable(1);
> > private Text word = new Text();
> >
> > public void map(LongWritable key, Text value,
> > OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> > IOException {
> > String line = value.toString();
> > System.out.println("here"+"\t"+ line + "\t" + key);
> > StringTokenizer tokenizer = new StringTokenizer(line);
> > while (tokenizer.hasMoreTokens()) {
> > word.set(tokenizer.nextToken());
> > output.collect(word, one);
> > }
> > }
> > }
> >
> > public static class Reduce extends MapReduceBase implements
> > Reducer<Text, IntWritable, Text, IntWritable> {
> > public void reduce(Text key, Iterator<IntWritable> values,
> > OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> > IOException {
> > int sum = 0;
> > while (values.hasNext()) {
> > sum += values.next().get();
> > }
> > output.collect(key, new IntWritable(sum));
> > }
> > }
> >
> > public static void main(String[] args) throws Exception {
> > JobConf conf = new JobConf(WordCount.class);
> > //conf.setJobName("wordcount");
> > //conf.setJar("wordcount.jar");
> > conf.setOutputKeyClass(Text.class);
> > conf.setOutputValueClass(IntWritable.class);
> >
> > conf.setMapperClass(Map.class);
> > conf.setReducerClass(Reduce.class);
> >
> > conf.setInputFormat(TextInputFormat.class);
> > conf.setOutputFormat(TextOutputFormat.class);
> >
> > //FileInputFormat.setInputPaths(conf, new Path(args[0]));
> > //FileOutputFormat.setOutputPath(conf, new Path(args[1]));
> >
> > JobClient.runJob(conf);
> > }
> > }
> >
> > Note that if I change mapper to map and reducer to reduce , I don't get
> > the error but I get wrong output. I checked the input given to the mapper
> > and that is apparently empty. And here is my workflow.xml. :
> >
> > <workflow-app name='wordcount-wf' xmlns="uri:oozie:workflow:0.1">
> > <start to='wordcount'/>
> > <action name='wordcount'>
> > <map-reduce>
> > <job-tracker>${jobTracker}</job-tracker>
> > <name-node>${nameNode}</name-node>
> > <prepare>
> > </prepare>
> > <configuration>
> >
> > <property>
> > <name>mapred.job.queue.name</name>
> > <value>${queueName}</value>
> > </property>
> > <property>
> > <name>mapred.mapper.class</name>
> > <value>WordCount$Map</value>
> > </property>
> > <property>
> > <name>mapred.reducer.class</name>
> > <value>WordCount$Reduce</value>
> > </property>
> > <property>
> > <name>mapred.input.dir</name>
> > <value>${inputDir}</value>
> > </property>
> > <property>
> > <name>mapred.output.dir</name>
> > <value>${outputDir}</value>
> > </property>
> > </configuration>
> > </map-reduce>
> > <ok to='end'/>
> > <error to='end'/>
> > </action>
> > <kill name='kill'>
> > <message>${wf:errorCode("wordcount")}</message>
> > </kill>
> > <end name='end'/>
> > </workflow-app>
> >
> > I'm running oozie and hadoop on a single VM taken from cloudera.
> > oozie version:
> > Oozie client build version: 2.3.2-cdh3u4
> > hadoop version:
> > Subversion file:///data/1/tmp/topdir/BUILD/hadoop-0.20.2-cdh3u4 -r
> > 214dd731e3bdb687cb55988d3f47dd9e248c5690
> > Compiled by root on Mon May 7 14:03:02 PDT 2012
> > From source with checksum a60c9795e41a3248b212344fb131c12c
> >
>
>
>
> --
> Alejandro
>
Re: IOException while running mapreduce action. (Old API)
Posted by Alejandro Abdelnur <tu...@cloudera.com>.
Hi Anshul,
It looks like you are setting the key/value classes for the
input/output/intermediate-output and Hadoop is trying to use the default
ones.
thx
On Tue, May 22, 2012 at 11:21 PM, Anshul Singhle
<an...@gmail.com>wrote:
> Hi all,
> I tried running the wordcount example on oozie and i'm getting the
> following exception on my hadoop log:
> ERROR org.apache.hadoop.security.UserGroupInformation:
> PriviledgedActionException as:cloudera (auth:SIMPLE)
> cause:java.io.IOException: Type mismatch in key from map: expected
> org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
> 2012-05-22 18:58:27,832 WARN org.apache.hadoop.mapred.Child: Error running
> child
> java.io.IOException: Type mismatch in key from map: expected
> org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text
> at
> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:871)
> at
>
> org.apache.hadoop.mapred.MapTask$OldOutputCollector.collect(MapTask.java:499)
> at WordCount$Map.map(WordCount.java:22)
> at WordCount$Map.map(WordCount.java:12)
> at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
> at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:391)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:325)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at
>
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1177)
> at org.apache.hadoop.mapred.Child.main(Child.java:264)
>
> WordCount.java is copied verbatim from the apache mapreduce tutorial. I
> removed the combiner that solved the problem for some people over at
> stackoverflow, but i'm still getting the error. I ran the same jar in
> hadoop and got the correct output with no error. Posting WordCount.java for
> completeness.
>
> import java.io.IOException;
> import java.util.*;
>
> import org.apache.hadoop.fs.Path;
> import org.apache.hadoop.conf.*;
> import org.apache.hadoop.io.*;
> import org.apache.hadoop.mapred.*;
> import org.apache.hadoop.util.*;
>
> public class WordCount {
>
> public static class Map extends MapReduceBase implements
> Mapper<LongWritable, Text, Text, IntWritable> {
> private final static IntWritable one = new IntWritable(1);
> private Text word = new Text();
>
> public void map(LongWritable key, Text value,
> OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> IOException {
> String line = value.toString();
> System.out.println("here"+"\t"+ line + "\t" + key);
> StringTokenizer tokenizer = new StringTokenizer(line);
> while (tokenizer.hasMoreTokens()) {
> word.set(tokenizer.nextToken());
> output.collect(word, one);
> }
> }
> }
>
> public static class Reduce extends MapReduceBase implements
> Reducer<Text, IntWritable, Text, IntWritable> {
> public void reduce(Text key, Iterator<IntWritable> values,
> OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> IOException {
> int sum = 0;
> while (values.hasNext()) {
> sum += values.next().get();
> }
> output.collect(key, new IntWritable(sum));
> }
> }
>
> public static void main(String[] args) throws Exception {
> JobConf conf = new JobConf(WordCount.class);
> //conf.setJobName("wordcount");
> //conf.setJar("wordcount.jar");
> conf.setOutputKeyClass(Text.class);
> conf.setOutputValueClass(IntWritable.class);
>
> conf.setMapperClass(Map.class);
> conf.setReducerClass(Reduce.class);
>
> conf.setInputFormat(TextInputFormat.class);
> conf.setOutputFormat(TextOutputFormat.class);
>
> //FileInputFormat.setInputPaths(conf, new Path(args[0]));
> //FileOutputFormat.setOutputPath(conf, new Path(args[1]));
>
> JobClient.runJob(conf);
> }
> }
>
> Note that if I change mapper to map and reducer to reduce , I don't get
> the error but I get wrong output. I checked the input given to the mapper
> and that is apparently empty. And here is my workflow.xml. :
>
> <workflow-app name='wordcount-wf' xmlns="uri:oozie:workflow:0.1">
> <start to='wordcount'/>
> <action name='wordcount'>
> <map-reduce>
> <job-tracker>${jobTracker}</job-tracker>
> <name-node>${nameNode}</name-node>
> <prepare>
> </prepare>
> <configuration>
>
> <property>
> <name>mapred.job.queue.name</name>
> <value>${queueName}</value>
> </property>
> <property>
> <name>mapred.mapper.class</name>
> <value>WordCount$Map</value>
> </property>
> <property>
> <name>mapred.reducer.class</name>
> <value>WordCount$Reduce</value>
> </property>
> <property>
> <name>mapred.input.dir</name>
> <value>${inputDir}</value>
> </property>
> <property>
> <name>mapred.output.dir</name>
> <value>${outputDir}</value>
> </property>
> </configuration>
> </map-reduce>
> <ok to='end'/>
> <error to='end'/>
> </action>
> <kill name='kill'>
> <message>${wf:errorCode("wordcount")}</message>
> </kill>
> <end name='end'/>
> </workflow-app>
>
> I'm running oozie and hadoop on a single VM taken from cloudera.
> oozie version:
> Oozie client build version: 2.3.2-cdh3u4
> hadoop version:
> Subversion file:///data/1/tmp/topdir/BUILD/hadoop-0.20.2-cdh3u4 -r
> 214dd731e3bdb687cb55988d3f47dd9e248c5690
> Compiled by root on Mon May 7 14:03:02 PDT 2012
> From source with checksum a60c9795e41a3248b212344fb131c12c
>
--
Alejandro