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courses:mapreduce-tutorial:step-27 [2012/01/27 20:11] straka vytvořeno |
courses:mapreduce-tutorial:step-27 [2012/01/31 14:39] (current) straka |
====== MapReduce Tutorial : ====== | ====== MapReduce Tutorial : Running multiple Hadoop jobs in one source file ====== |
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| The Java API offers possibility to submit multiple Hadoop job in one source file. A job can be submitted either using |
| * [[http://hadoop.apache.org/common/docs/r1.0.0/api/org/apache/hadoop/mapreduce/Job.html#waitForCompletion(boolean)|job.waitForCompletion]] -- the job is submitted and the method waits for it to finish (successfully or not). |
| * [[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 ===== |
| Improve the [[.:step-25#exercise|sorting exercise]] to handle [[.:step-13#nonuniform-data|nonuniform keys distribution]]. As in the [[.:step-13#nonuniform-data|Perl solution]], run two Hadoop jobs (using one Java source file) -- first samples the input and creates separator, second does the real sorting. |
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| ===== Exercise 2 ===== |
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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. |
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| ---- |
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| <html> |
| <table style="width:100%"> |
| <tr> |
| <td style="text-align:left; width: 33%; "></html>[[step-26|Step 26]]: Compression and job configuration.<html></td> |
| <td style="text-align:center; width: 33%; "></html>[[.|Overview]]<html></td> |
| <td style="text-align:right; width: 33%; "></html>[[step-28|Step 28]]: Custom data types.<html></td> |
| </tr> |
| </table> |
| </html> |