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courses:mapreduce-tutorial:step-28 [2012/01/30 15:44] majlis |
courses:mapreduce-tutorial:step-28 [2012/01/31 13:07] straka |
- 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. |
<td style="text-align:left; width: 33%; "></html>[[step-27|Step 27]]: Custom data types.<html></td> | <td style="text-align:left; width: 33%; "></html>[[step-27|Step 27]]: Custom data types.<html></td> |
<td style="text-align:center; width: 33%; "></html>[[.|Overview]]<html></td> | <td style="text-align:center; width: 33%; "></html>[[.|Overview]]<html></td> |
<td style="text-align:right; width: 33%; "></html>[[step-29|Step 29]]: Custom input formats.<html></td> | <td style="text-align:right; width: 33%; "></html>[[step-29|Step 29]]: Custom sorting and grouping comparators.<html></td> |
</tr> | </tr> |
</table> | </table> |
</html> | </html> |
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