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courses:mapreduce-tutorial:step-28 [2012/01/29 16:41]
straka |
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. |
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| | ---- |
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| | <html> |
| | <table style="width:100%"> |
| | <tr> |
| | <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:right; width: 33%; "></html>[[step-29|Step 29]]: Custom sorting and grouping comparators.<html></td> |
| | </tr> |
| | </table> |
| | </html> |
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