List of Listings

Chapter 1. Introducing Hadoop

Listing 1.1. Pseudo-code for map and reduce functions for word counting

Listing 1.2. WordCount.java

Chapter 2. Starting Hadoop

Listing 2.1. Example of the three configuration files for pseudo-distributed mode

Listing 2.2. Example configuration files for fully distributed mode

Chapter 3. Components of Hadoop

Listing 3.1. A PutMerge program

Listing 3.2. An example class that implements the WritableComparable interface

Listing 3.3. Revised version of the WordCount example

Chapter 4. Writing basic MapReduce programs

Listing 4.1. Template for a typical Hadoop program

Listing 4.2. CitationHistogram.java: count patents cited once, twice, and so on

Listing 4.3. Template for basic Hadoop program (listing 4.1) rewritten for new API v 0.20

Listing 4.4. RandomSample.py: a Python script printing random lines from STDIN

Listing 4.5. RandomSample.php.: a PHP script printing random lines from STDIN

Listing 4.6. AttributeMax.py: Python script to find maximum value of an attribute

Listing 4.7. AverageByAttributeMapper.py: output country and claim count of patents

Listing 4.8. AverageByAttributeReducer.py

Listing 4.9. AttributeCount.py

Listing 4.10. UniqueCount.py: a wrapper around the UniqValueCount function

Listing 4.11. ValueHistogram.py: wrapper around Aggregate package’s ValueHistogram

Listing 4.12. Java equivalent of AverageByAttributeMapper.py

Chapter 5. Advanced MapReduce

Listing 5.1. Driver for chaining mappers within a MapReduce job