November 2010
Intermediate to advanced
336 pages
11h 16m
English
Content preview from Hadoop in ActionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 7. Cookbook
This chapter covers
- Passing custom parameters to tasks
- Retrieving task-specific information
- Creating multiple outputs
- Interfacing with relational databases
- Making output globally sorted
This book so far has covered the core techniques for making a MapReduce program. Hadoop is a big framework that supports many more functionalities than those core techniques. In this age of Bing and Google, you can look up specialized MapReduce techniques rather easily, and we don’t try to be an encyclopedic reference. In our own usage and from our discussion with other Hadoop users, we’ve found a number of techniques generally useful, techniques such as being able to take a standard relational database as input or output to a MapReduce ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.