Programming Pig

Preface;
Data Addiction;
Who Should Read This Book;
Conventions Used in This Book;
Code Examples in This Book;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Acknowledgments;
Chapter 1: Introduction;
1.1 What Is Pig?;
1.2 Pig’s History;
Chapter 2: Installing and Running Pig;
2.1 Downloading and Installing Pig;
2.2 Running Pig;
Chapter 3: Grunt;
3.1 Entering Pig Latin Scripts in Grunt;
3.2 HDFS Commands in Grunt;
3.3 Controlling Pig from Grunt;
Chapter 4: Pig’s Data Model;
4.1 Types;
4.2 Schemas;
Chapter 5: Introduction to Pig Latin;
5.1 Preliminary Matters;
5.2 Input and Output;
5.3 Relational Operations;
5.4 User Defined Functions;
Chapter 6: Advanced Pig Latin;
6.1 Advanced Relational Operations;
6.2 Integrating Pig with Legacy Code and MapReduce;
6.3 Nonlinear Data Flows;
6.4 Controlling Execution;
6.5 Pig Latin Preprocessor;
Chapter 7: Developing and Testing Pig Latin Scripts;
7.1 Development Tools;
7.2 Testing Your Scripts with PigUnit;
Chapter 8: Making Pig Fly;
8.1 Writing Your Scripts to Perform Well;
8.2 Writing Your UDF to Perform;
8.3 Tune Pig and Hadoop for Your Job;
8.4 Using Compression in Intermediate Results;
8.5 Data Layout Optimization;
8.6 Bad Record Handling;
Chapter 9: Embedding Pig Latin in Python;
9.1 Compile;
9.2 Bind;
9.3 Run;
9.4 Utility Methods;
Chapter 10: Writing Evaluation and Filter Functions;
10.1 Writing an Evaluation Function in Java;
10.2 Algebraic Interface;
10.3 Accumulator Interface;
10.4 Python UDFs;
10.5 Writing Filter Functions;
Chapter 11: Writing Load and Store Functions;
11.1 Load Functions;
11.2 Store Functions;
Chapter 12: Pig and Other Members of the Hadoop Community;
12.1 Pig and Hive;
12.2 Cascading;
12.3 NoSQL Databases;
12.4 Metadata in Hadoop;
Built-in User Defined Functions and Piggybank;
Built-in UDFs;
Piggybank;
Overview of Hadoop;
MapReduce;
Hadoop Distributed File System;
Colophon;