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courses:mapreduce-tutorial:step-28 [2012/01/31 12:40]
straka |
courses:mapreduce-tutorial:step-28 [2012/01/31 13:07]
straka |
| * [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#submit()|job.submit]] -- the job is submitted and the method immediately returns. In this case, the state of the submitted job can be accessed using [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#isComplete()|job.isComplete]] and [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#isSuccessful()|job.isSuccessful]] | * [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#submit()|job.submit]] -- the job is submitted and the method immediately returns. In this case, the state of the submitted job can be accessed using [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#isComplete()|job.isComplete]] and [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#isSuccessful()|job.isSuccessful]] |
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| ===== Exercise 1 ===== | ===== Exercise 2 ===== |
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| Improve the last [[.:step-27#exercise|inverted index creation exercise]], such that | Improve the last [[.:step-27#exercise|inverted index creation exercise]], such that |
| - in the second job, create for each word sorted list of ''DocWithOccurences<IntWritable>'', where the document is identified by its number (contrary to the previous exercise, where ''Text'' was used to identify the document). | - in the second job, create for each word sorted list of ''DocWithOccurences<IntWritable>'', where the document is identified by its number (contrary to the previous exercise, where ''Text'' was used to identify the document). |
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| ===== Exercise 2 ===== | ===== Exercise 3 ===== |
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| Implement the [[.:step-15|K-means clustering exercise]] in Java. Instead of an controlling script, use the Java class itself to execute the Hadoop job as many times as necessary. | Implement the [[.:step-15|K-means clustering exercise]] in Java. Instead of an controlling script, use the Java class itself to execute the Hadoop job as many times as necessary. |
