1. Pig from Alan Gates’ book (In preparation for exam2)

2. Introduction
Download pig from pig.apache.org (into timberlake or your local computer/laptop)
Unzip and untar it. You are set to go.
You can execute in local mode for learning purposes. Later on you can test it on your hadoop installation.
Navigate to the director where pig is installed.
./bin/pig –x local
Will put you in grunt mode or local mode

3. Data and pig Script
Create a data (called data) directory in the directory where bin is located.
Download from github all the data files related to pig book and store in the data directory
NYSE_divdidends
NYSE_daily
Etc.
Now go thru’ the examples in chapters 1-4, either by typing them in line by line or by creating script files.
Mystockanalysis.pig can be executed by
./bin/pig –x local Mystockanalysis.pig
or line by line on grunt

4. Chapter 1 Hello world of pig. Mary had little lamb example.
Go through the example in page.3
Create “mary” file in your data directory
Type in the commands line by line as in p.3
Now create a ch1.pig file out of the coammands
Run the script file using the pig command
Try some other commands not listed there.
Understand the examples discussed in p.5,6

5. Chapter 2 Discusses installing and running pig
Go through the example in p.14.
That’s all.

6. Chapter 3
Discuss the grunt shell that is the prompt for the local mode
pig –x local
Results in grunt
grunt>
See the example in page 20

7. Chapter 4 Pig data model Scalars like: int, long, float, double, etc.
Complex types: Map, chararray to element mapping, sort of like key, value pair
Tuple ordered collection of Pig elements (‘bob, 55)
Bag is an unordered collection of tuples
Nulls
Schemas: Pig has lax attitude towards schemas
Explicit:
dividends = load ‘NYSE_dividends’ as (exchange:chararray, symbol:chararray, date: chararray, dividend:float);
Or you could say
divs = load ‘NYSE_dividends’ as (exchange, symbol, date, dividend);
See the table on page 28
See the example p.28,29,30.

8. Chapter 5 Pig Latin Look at the examples p.33-50
Commands discussed are:
Load, store, dump
Relational operations: foreach, filter, group, order ..by, distinct, join
Data operation: limit, sample, parallel.